FACTORS THAT AFFECT AFRICAN AMERICAN INFANT MORTALITY IN SACRAMENTO COUNTY Krystall Moore B.S., Southern University and A&M College, 2008 Nailah Kokayi B.S., California State University, Sacramento, 2007 PROJECT Submitted in partial satisfaction of the requirements for the degree of MASTER OF SOCIAL WORK at CALIFORNIA STATE UNIVERSITY, SACRAMENTO SPRING 2010 © 2010 Krystall Moore Nailah Kokayi ALL RIGHTS RESERVED ii FACTORS THAT AFFECT AFRICAN AMERICAN INFANT MORTALITY IN SACRAMENTO COUNTY A Project by Krystall Moore Nailah Kokayi Approved by: ______________________________, Committee Chair Serge Lee, PhD, MSW ____________________________ Date iii Students: Krystall Moore Nailah Kokayi I certify that these students have met the requirements for format contained in the University format manual, and that this project is suitable for shelving in the Library and credit is to be awarded for the project. ________________________________, Graduate Coordinator __________________ Teiahsha Bankhead, PhD, MSW Date Division of Social Work iv Abstract of FACTORS THAT AFFECT AFRICAN AMERICAN INFANT MORTALITY IN SACRAMENTO COUNTY by Krystall Moore Nailah Kokayi Infants in the African American community are dying at an elevated rate. This is an alarming fact for the researchers who chose this particular topic to promote knowledge on the causes of infant mortality among African Americans. An African American infant is two times more likely than an infant of any other ethnicity to die within their first year of life (Chima, 2000). The researchers used the California Black Infant Health ProgramSacramento County’s database, for data collection. There are significant relationships between infant mortality and parent’s socioeconomic status: employment, income, neighborhoods and marital status. Many programs nationwide and statewide are trying to address this problem. _______________________, Committee Chair Serge Lee, PhD, MSW _______________________ Date v ACKNOWLEDGMENTS We would like to thank Sacramento County Research Review Committee for granting us the approval to access the data source from the Black Infant Health Program. We would also like to thank the Coordinator of the Black Infant Health program, Sharon Saffold for her encouragement and cooperation. Thanking Dr. Carol Gray for stepping in to proofread and edit our project when we terminated our previous proofreader. Dr. Gray was asset to this project and was only a phone call away when needed without hesitation and her busy schedule. In addition, we would like to thank Dr. Serge Lee, our project advisor for his patience, support, time and energy you put into the project, tedious revisions and guidance. We would also like give special THANKS to our families and friends for giving us never ending support, encouraging words of wisdoms, unconditional love and understanding. Lastly, we would like to thank one another for consistently pushing each other to the end of this program. Having someone that is there when you need a friend is great and the process would not have been the same without one another. vi TABLE OF CONTENTS Page Acknowledgments.................................................................................................................... vi List of Tables ........................................................................................................................... ix List of Figures ........................................................................................................................... x Chapter 1. THE PROBLEM..………………………………………………………………………....1 Introduction................................................................................................................... 1 Rationale . .................................................................................................................... 1 Theoretical Framework ................................................................................................ 3 2. REVIEW OF THE LITERATURE .................................................................................... 7 Social and Environmental Factors ............................................................................... 7 Genetics ..................................................................................................................... 23 Prenatal Care .............................................................................................................. 24 Summary .................................................................................................................... 28 3. METHODOLOGY ........................................................................................................... 29 Research Design ........................................................................................................ 29 Data Collection Procedures........................................................................................ 29 Instruments Used ....................................................................................................... 31 Data Analysis Plan ..................................................................................................... 31 Protection of Human Subjects ................................................................................... 32 Limitations ................................................................................................................. 33 4. OUTCOMES .................................................................................................................... 34 Introduction................................................................................................................ 34 Demographic Characteristics ..................................................................................... 34 Test of Statistics ......................................................................................................... 43 vii 5. CONCLUSION....………………………………………………………………………..47 Overall Observations from literature review ............................................................. 47 Overall Observations from research project. ............................................................. 48 Social Work Implications .......................................................................................... 48 Summary .................................................................................................................... 50 Appendix The Questionnaire ................................................................................................. 52 References ............................................................................................................................... 54 viii LIST OF TABLES Page 1. Table 1 Client’s marital status…………………………………………………...34 2. Table 2 Employment status..… ………………………………….…………...... 35 3. Table 3 Current childcare needs...……………………………………………… 36 4. Table 4 Current housing needs…………………………………………………. 37 5. Table 5 Client’s income sources…………………………………………………38 6. Table 6 Client’s educational background...………………………………….......39 7. Table 7 Client used alcohol during pregnancy..………………...……………….40 8. Table 8 Client used cigarettes during pregnancy………………………………...41 9. Table 9 Client planned pregnancy......…………………………………………...42 10. Table 10 Client used other substance during pregnancy………...………………43 ix LIST OF FIGURES Page 1. Figure 1 Zip code and prenatal initiation chi square test…………..……………44 2. Figure 2 Income and medical diagnosis chi square test..……………………….45 3. Figure 3 Cross tabulation between education and prenatal initiation………..….46 x 1 Chapter 1 THE PROBLEM Introduction It has been noted that African American infants have the highest mortality rate (Owusu-Ansah & David, 2008; Howell, 2008; Hearst, Oakes & Johnson, 2008; Savage, Anthony, Lee, Kappesser & Rose, 2007; Biermann, Dunlop, Brady, Dubin & Brann, 2006; David &Collins, 2008; Barnes, 2008; Chima,2000; Paul, Mackley, Locke) compared to any other ethnicity due to micro, macro and meso conditions. Some research has indicated a significant relationship between socioeconomic status, marital status, inadequate diet, and health care (Owusu-Ansah & David et al., 2008) that is correlated with the mortality rate of African American infants. One of the missions in the social work profession is to enhance the well-being of humans. The researchers hypothesize that social workers can help decrease the rate of infant deaths in the African American community. Some ways the researchers can help are by building awareness, educating African American women on the ways to ensure healthy birth outcomes, and spreading the word about how infant mortality is significantly affecting African American babies. Rationale The reason the researchers are exploring the mortality rate of African American infants is because as aspiring social workers, of the African American heritage, the researchers are interested in promoting prenatal care to African American women, so that future babies, born to African American women, will be more healthy. During the search 2 for literature, to support this research project, the authors, discovered that African American infants in the United States are more than twice as likely to die, as white infants, in the first year of life (Howell, 2008). Several programs have tried and will continue to try to alleviate or reduce the mortality rate of African American babies such as the Black Infant Health Program in various California counties. As African American women, the researchers will someday bear children of their own. Coincidently, there are women known to the researchers that have given birth to unhealthy babies. As a result, the babies did not survive beyond the age of one. One of the major reasons the researchers chose this particular topic is to promote knowledge on the causes of childhood death among African Americans. Our goal is to eliminate the disparities of the African American infant mortality rate (IMR). The authors strongly believe that IMR should decrease from the current rates, for all racial groups, as America is one of the most civilized societies in the world, with the most advanced knowledge in medicines. America is known to have the capacity to cure all kinds of diseases, including preventing early childhood death. Below are several questions the researchers will answer through our thesis: Why do African Americans have the highest infant mortality rate? Does African American women’s lack preventive care knowledge contributes to the infant mortality rate? Do the mother’s prenatal care knowledge correlate with infant mortality death in the African American community? 3 What prenatal care interventions are being offered to African American women and future mothers to be? What kind of internal support systems are currently available to African American women who are pregnant? Theoretical Framework The Ecological perspective (Payne, 2005) is relevant to IMR of African Americans women. This is often the case for African American families due to the mother being exposed to negative societal conditions (i.e., lack of employment and educational opportunities, lack of community infrastructures within the black community to support pregnant women, lack of social interactions among African American women, and poor housing conditions) and intervention factors(i.e., lack of physical activities, inadequate diet, lack of social support, stress, reduced access to medical care) (Hearst, Oakes & Johnson, 2008). The ecological perspective sees people as constantly adapting in an interchange with many different aspects of their environment and that process is reciprocal. Therefore, it is important to provide appropriate inputs like information or resources for self-maintenance and development. According to Chima (2000), social workers must use the ecological perspective to develop interventions to alleviate and eliminate the disparity in infant mortality. The framework seeks to help people understand how to adapt to their physical, biological, and social environments. It also focuses on how people interact or transact with one another and their environment. According to Payne, the social environment involves all conditions, experiences and human interactions that encompass human 4 beings. Payne also expresses concern about the quality of resources and opportunities available for growth and development. The ecological perspective is an alternative perspective on human development across the lifespan. Based on this perspective, individuals are best understood in the context of their adaptations to their environment. Specifically, this perspective contends that the micro system, meso system, exosystem, and the macro system influence the individual simultaneously. The micro system refers to the immediate environment of an individual, which includes influences by family members, peers, and caregivers. This system also processes the behaviors and character of the individual, although this is not the focus in this system. The meso system manifests itself through the bonding that takes place between the individual and members of the micro system. The exosystem represents broader external structures that have major and immediate impact on the interaction between the micro-and macro systems, as well as, individual development. These influences include schools, the community, places of worship, local government, and local media. The macro system emphasizes the inclusiveness of the larger cultural influences on an individual. This includes, but is not limited to, society-at-large, religious institutions, politics, and government. Empowerment perspective (Payne, 2005) is based upon the assumption that African Americans are potentially competent people whose problems result from an oppressive social structure and negative evaluation, which causes powerlessness and barriers in the supply of essential resources for these competencies to be asserted. Empowerment theory is beneficial to the IMR because it helps individuals and groups to overcome barriers and to gain self-efficacy. “Empowerment seeks to help clients to gain 5 power of decision and action over their own lives by reducing the effect of social or personal blocks…” (Payne, p. 295). Empowerment resides in the helpee, not the helper or social worker. It addresses oppression, stratification, and inequality as social barriers. Empowerment theory also deals with diversity and oppressed groups. It helps oppressed groups (African American pregnant women) advocate for themselves and to be a part of the service community, which will conversely create self-help and teach them to be in control of their own lives. According to Chima (2001) the social workers role, at this level, is to be consultants, educators and advocates. The basic premise of empowerment is “giving people greater security and political and social equality through mutual support and shared learning building up small steps towards wider goals” (Payne 2007, p. 303). It can help pregnant women to respond and prevail social injustices (e.g. health care). Chima (2000) states that maternal emotions and stress may cause poor pregnancy outcomes, so the social worker’s role in providing stress and emotional support resources is essential. Social work ethics and values play a vital role with the empowerment theory. Social workers can assist these women from oppression and a feeling of defenselessness. Lastly, the empowerment theory can help women become more informed and promote women to make rational decisions. Strengths perspective is another theory to use when working with pregnant mothers. The utilization of strengths perspective in intervention seeks to identify, use, build, validate, and reinforce the strengths and abilities that people have (Chima, 2000, p, 13). The black family is a source of strength, but the value and commitment they hold on 6 family are affected by negative stereotypes and devaluation from the environment. This perspective will be useful in assessing, intervening, and evaluating the mother. Another theory that is essential to the IMR is community care (Stepney & Popple, 2008). Community care was implemented because people who were institutionalized were not receiving proper care and were dehumanized. It is a theory that is used for communities. Stepney and Popple define community care as “the various efforts to help ensure that people who are in need of care remain in the community” (p.71). It supports the community with resources, helps make the individual feel as if they are not alone, empowers individuals to make informed decisions, promotes problem solving, and assists people to live independently. In relationship to the African American pregnant women, we correlate warmth and happiness to close, interlocking relationships with kin and people who share our interests or our ways of living. The importance of family and community relationships, seriously affects people who do not have family or community relationships by making them feel even more excluded. Family and community relationships are always the preferred way of resolving social problems. As these social structures break down under the pressure of modern society, people become more isolated and we have to do more to promote contact with others. Family and community care appears very cost-effective, compared with professional care. Most societies agree with the assumption that community care is preferred. Part of the reason for the ‘mixed economy’ is to encourage as much variety as possible, and to ensure that provision is as close to the preferences and special needs of the community and family as possible. 7 Chapter 2 REVIEW OF THE LITERATURE Introduction Most infants survive their first year of life. Infant mortality is a tragedy for both families and communities. African American infants are two times more likely than any other ethnicity to die within their first year of life due to several factors (Howell, 2008).This chapter will discuss the social and environmental factors, genetics, and prenatal care as reasons to why the disparity of infant mortality is higher amongst the African American culture. SOCIAL AND ENVIRONMENTAL FACTORS Birth weights When examining the African American infant mortality rate (IMR), OwusuAnsah and David analyzed the maternal birth-weight and infant birth-weight mortality rate for White and African American infants in Illinois. They used the birth records of 267,303 infants born between 1989 and 1991. The birth records were linked to mothers born between 1956 and 1976. They compared different populations by sex, race, altitude of residence, and exposure to cigarette smoke. Statistical computation included the sample mean, standard deviation, and z scored for each infant. Owusu-Ansah and David (2008) found that over half of the infant deaths involved births with weights more than two standard deviations below the relevant population mean birth-weight comprising of 6.9% of African Americans and 4.2% of whites births. In addition, they found that 8 children born to African American mothers were much smaller at birth weight with smaller mothers when compared with those whose mothers were average sized or large at birth. This differential effect is more prominent with African American mothers than with white mothers. Howell (2008) explored the racial disparities in infant mortality through the quality of care perspective. He found that black infants in the United States are more than twice as likely to die as white infants in the first year of life. Howell stated that very low birth weight (VLBW) infants represent the majority of deaths. Evidence from the study indicated that black women are twice as likely to have low birth weight infants, which accounts for nearly two-thirds of all infant deaths. Howell also discovered that black women are three times more likely to have VLBW infant deaths and three times more likely to have VLBW infants, which accounts for more than half of all infant deaths. Black Americans are more likely to be born at lower birth weights because black Americans have a higher rate of preterm births. He suggests that the low birth weights and prematurity among Blacks may be mediated by social and economic factors including socioeconomic status, insurance, neighborhood effects, maternal stress, social support, racism, exposure to violence and adverse maternal health experiences. Howell (2008) also found that two differences in quality of care might contribute to racial disparities. First, the quality of care received by VLBW infants and their mothers may differ by race within individual hospitals, especially with regard to care in neonatal intensive care units. Secondly, white and black women may receive their prenatal care in separate hospitals and those serving primarily black women may provide lower quality of 9 care. Blacks are being treated more often at hospitals with a higher mortality rate. Black VLBW infants are served disproportionately by hospitals with high neonatal mortality rates (Howell, 2008). Dunlop, Dubin, Raynor et al., (2007), explored whether the provision of primary health care and social support, following a VLBW delivery, improves subsequent child spacing and pregnancy outcomes for low-income African American women in Atlanta’s Grady Memorial Hospital. Essentially, the research project compared the reproductive outcomes of two cohorts of women with VLBW. In this comparison, one group of cohorts had inter-pregnancy care (IPC) intervention, the other group delivered prior to initiation of the IPC intervention program. Dunlop et al., (2007), hypothesized that women who had a previous VLBW delivery will most likely have another VLBW outcome in subsequent pregnancies. In their inferential statistical analyses, Dunlop et al., (2007), used the Fisher’s Exact Test. Based on this test of statistics; they found that there was no significant difference between enrollees and non-enrollees with respect to age, tobacco use, substance abuse, chronic diseases, marital status, and parity or birth-weight. Specially, the cross-tabulation test indicated that the nine women who declined enrollment were more likely to have had no documented prenatal care (66% vs. 21%, p= .02) and a stillborn index VLBW (40% vs. 11%, p= .04). Dunlop et al., reasoned this significant difference to increase outcomes and recurrence to poor health of the women, chronic stress and depression, and short inter-pregnancy intervals. 10 Barnes (2008) explored the lives of African American women to identify factors related to the racial gap in infant mortality, which involved thirteen African American women from Virginia who participated in either a focus group or interviews. The focus of the study was to explore the question: “What do African American women believe are factors most responsible for higher rates of African American infant mortality?” The study revealed that factors of stress and racism affects African American women’s pregnancy outcomes. The women stated that the use of social support and assistance from doctors helped them to have positive pregnancy outcomes. Some studies have found that socioeconomic status has an independent effect on low birth weight. Other studies concluded that race and socioeconomic status have separate effects on low birth weights (Barnes, 2008). All of the participants reported that racism does exist in the medical system, with African American women receiving inadequate care (Barnes, 2008). Some of the participants felt that physical abuse and poor relationships with men are another negative influence for infant mortality. The study also revealed that African American women need additional aid in areas such as social support, pregnancy education, infant care, stress management, physical abuse counseling, and grief/loss counseling. Leslie, Galvin, Diehl et al., (2003), compared Hispanic birth outcomes with those of white and African American women in North Carolina and examined variables associated with adverse birth outcomes among Hispanic women. The researchers conducted a retrospective comparison of birth outcomes by ethnicity/race, from linked birth/infant death certificates in North Carolina (1993-1997). The authors of this study 11 examined the relationships between available medical and socio demographic index values and composite birth outcomes among Hispanic women using Multivariate, binary logistic regression and χ2 analysis. Leslie et al., found that infant mortality rates were lowest among Hispanic women. In addition, low birth weight and prematurity rates were similar to those of white women and lower than those of African American women. Variables significantly related to healthy composite birth outcomes among Hispanic women included higher education, no preterm delivery history, prenatal care, marriage, and no daily tobacco use. Hispanic birth outcomes in North Carolina were better than those of African American women and similar to those of white women, despite use of prenatal care and socioeconomic characteristics similar to African American women. Alexander, Wingate, Bader et al., (2008) examined trends in birth weightgestational age distributions, and related infant mortality for African American and white women and calculated the estimated excess annual number of African American infant deaths. The researcher’s studies live births to United States-resident mothers with a maternal race of white or African American were selected from the National Center for Health Statistics’ linked live birth infant death cohort files. The racial disparity in infant mortality widened despite an increasing rate of white low-birth weight infants. The researchers found that white preterm infants had relatively greater gains in survival and the white advantage in survival at term increased. Alexander et al., found that African American women experience approximately 3,300 more infant deaths than would be expected. The researchers also found that the increasing racial disparity in infant mortality is largely influenced by changes in birth weight-gestational age–specific 12 mortality, rather than the birth weight-gestational age distribution. In addition, they found that the improvement in the survival of white preterm and low-birth weight infants, probably reflecting advances in and changing access to medical technology, contributed appreciably to this trend. Level of Care Savage, Anthony, Lee et al., (2007), explored the context of prenatal and infant care practices, among African American women of the childbearing age, living in an urban Ohio community. A seven-participant research study project focused primarily on pregnant women to see if they would have family support and needed resources related to pregnancy and childcare. The community chosen for the study was an urban neighborhood located in Hamilton County. The majority of the community was African American and more than half were female. The study was ethnographic study using community based participatory research. The main method of the ethnographic study was the collection of data and the analysis of life histories. The purpose of this study was to explore the cultural context of prenatal and infant care practices. The findings of the study were that a strong family based social network was the core to the culture of pregnancy and infant care for the research participants. The researchers also found that prenatal care might not be desirable if the pregnancy is unwanted and that the lack of transportation is a barrier to receive prenatal care. Preconception Care Biermann, Dunlop, Brady et al., (2006), explored two programs: The Grady Memorial Hospital Interpregnancy Care Program and the Magnolia Project. Both 13 programs targeted urban African American women as models for preconception care, which includes inter-conception care. The Grady Program aims to investigate how they can improve the health status, pregnancy planning, and birth spacing of women at risk of low birth weight babies. The Magnolia Project aims to reduce risks for women of childbearing age with family planning and sexual transmitted disease education. In the Grady Program, seven out of twenty-one of the women were identified as having a previously unrecognized or poorly managed chronic disease. All the women made a plan for reproduction and none of them became pregnant after giving birth to a low weight baby. When comparing data between the two projects, it was found that the Magnolia Project had a greater success rate of 70% in resolving key risks to pregnancy. The study revealed that preconception care appears to be effective when specific risks are identified, which, can produce healthy birth outcomes. Residential Segregation Hearst, Oakes and Johnson (2008) conducted racial residential segregation study project on black infant mortality. They hypothesized that racial residential segregation plays an independent role in high black infant mortality rates. The disparity remains between the infant mortality rate of African American infants and non-Hispanic White infants. The concept of segregation in this study suggested that blacks compared to whites are differentially exposed to negative macro-social conditions such as; lack of employment, lack of educational opportunities, the deterioration of the neighborhood, social and material conditions (housing and air quality, limited social contacts, loss of community infrastructure), and individual factors (less physical activity, inadequate diet, 14 lack of social support, stress, and inaccessible health care). The researchers stated that these various conditions place the infants at risk. On this research project, Hearst et al., found that low birth weight is one important risk factor for infant death, which is reflected by both the infant and mother’s health. Even those infants that are born with normal birth weights, black infant mortality rates are still twice as high as white infants. These researchers reported that income and the mother’s level of education also served as risk factors. For example, they revealed that black mothers, who are college educated, are still more than twice as likely to have their newborn die compared to a college educated, white mother. In addition, the research project revealed that neonatal death within the first 27 days of life is attributed to a biological cause. In this case, they speculated that death occurred after day 28 of birth, the death maybe due to environmental causes and infectious diseases. Overall, they specified three causes of infant death: (1) sudden infant death syndrome (SIDS), (2) accidental, (3) and assault. Causes of death included housing conditions, low birth weight, premature birth, high parity, infant sleeping position, soft bedding and bed sharing. Hearst and his colleagues reasoned that black segregated community could be a reason for the high incidence of SIDS because the members of the community are not receiving proper education in regards to the infant sleep position. Papacek, Collins, Schulte et al., (2002), conducted a survey to determine whether neighborhood impoverishment explains the disparity in infant mortality. These researchers used a multivariate regression analysis on the vital records of all African Americans and whites born in Chicago. Overall, they analyzed four variables: 15 low/median family income, rates of unemployment, homicide, and lead poisoning. The researchers revealed that the African American infant, living in non-impoverished neighborhoods, have a dramatically greater post neonatal mortality rate(PNMR) from SIDS and infections, than white infants living in impoverished neighborhoods. It also revealed that the environmental risk factors (ERF) among African Americans were relatively high compared to whites. In impoverished neighborhoods, the adjusted odd ratio of post neonatal mortality for African American infants equaled 1.5. In nonimpoverished neighborhoods, the adjusted odds ratio of post neonatal mortality for African American infants equaled 1.8. The researchers concluded that urban African American infants who reside in non-impoverished neighborhoods are at high risk for post neonatal mortality. A similar research project by Paul, Mackley, Locke et al., (2008) focused on the factors that contributed to infant mortality rates. They conducted an ecological study of the factors that attributed to the infant mortality rates. The authors of this study obtained statistics for each state from the United States linked death and birth certificate data, from the National Center for Health Statistics. Some of the factors were racial demographics, ethnicity, state population, median income, education, teen birth rate, proportion of obesity, smoking during pregnancy, diabetes, hypertension, cesarean delivery, prenatal care, health insurance, self-report of mental illness, and number of in-vitro fertilizations. In this case, the researchers found that non-Hispanic African American infants have an infant mortality rate twice that of non-Hispanic Caucasian infants, while many southern states have a higher infant mortality than those states in the northeast. In 16 addition, the research project revealed that the US racial demographics, associated with the infant mortality rate, consistent with this known disparity. The factor that had the greatest contribution to the model was percentage of the population of non-Hispanic African American ancestry. Poverty level, social status, economic status, race, ethnicity, or social networking are also confounding variables that the research study revealed that related to the disparity of infant mortality. Bell et al., (2006), studied how residential segregation may affect prenatal health, which can have a negative effect on birth weight. The researchers state that various reasons for poor birth outcomes can be associated with segregation. The authors of this research project took a sample of 434,376 African American single births. These births occurred in various “US Metropolitan Statistical Areas” (MSAs). In this research project, Bell et al., defined segregation in two different ways : (1) “isolation” which is defined by saying that any African American person will see another African American person at any random time and (2) “clustering” which is defined by stating the degree to which African-Americans live in adjoining neighborhoods. Bell and his fellow researchers found that increased isolation can be linked to lower birth weight, as well as higher rates of babies being born prematurely, and limited growth for fetuses. Bell et al., states the presumed reason for this is that isolation often occurs in poor neighborhoods with bad quality and constant discrimination, which result in poor health. The researchers also found that increased clustering could be related to positive birth results for African Americans. They reasoned that a community can inspire political involvement and empowerment, social support, and cohesion for African 17 Americans. However, clustering can have an impact on the length of fetus gestation but did result in higher birth weights and decreased instances of premature birth (Bell et al., 2006). Bell et al. (2006) states that segregation is a “complex multidimensional construct” that has both harmful and positive influences on African American birth outcomes. African-American women acknowledged positive factors of segregation such as cultural resources and a sense of unity. In addition, the researchers studied negative factors such as lack of cleanliness, the inadequate state of streets, sidewalks, and buildings, as well as the presence of illegal substances. The examiners further added that a decrease in isolation could improve birth outcomes for African-American babies. Despite the negative risk factors having an effect on birth outcomes, there is evidence that clustering can promote health (Bell et al., 2006). Stress Low birth weight leads to adverse health outcomes throughout life and may contribute to health disparities between Whites and Blacks in the United States. Stress is among the many potential contributors to birth weight, but key sources of stress have not yet been clearly identified. Holland, Kitzman and Veazie (2009) examined the relationships between multiple sources of maternal stress and birth weight. The authors of this study used Linear regression to analyze data from two control groups (n ¼ 554) of the Nurse–Family Partnership trial in Memphis, Tennessee. They obtained birth weight from medical records and other variables are from interviews during pregnancy (1990– 1991). Holland et al., examined four stresses: (1) abuse, (2) anxiety, (3) financial stress, 18 and (4) neighborhood disorganization. The authors found that when the four sources of stress were included together in the same model and known non-stress-related influences were controlled for, only neighborhood was a significant contributor to birth weight. When each stress was entered into the model individually, abuse, anxiety, and neighborhood disorganization were all significant. These results suggest that neighborhood disorganization has the most robust impact on birth weight, whereas abuse and anxiety seem to contribute via a source of shared variance. Income Phillips, Wise, Rich-Edwards et al., (2009), examined income incongruity and relative household income in relation to pre-term birth in a study of U.S black women. Income incongruity is a measure that compares the median household income of an individual’s residential area with that of others who have the same level of marital status and education, but who may live in different areas. Relative household income is a measure that compares an individual’s household income with the median household income of her residential area. The authors of this study used data from participants in the Black Women’s Health Study: 6257 singleton births were included in the income incongruity analyses and 5182 in the relative household income analyses; 15% of the births were preterm. The researchers found no overall association of income incongruity or relative household income with preterm birth. For relative household income, the authors found evidence that neighborhood composition modified the association with preterm birth: higher relative household income was associated with higher risk of preterm birth in neighborhoods with a high percentage of Black residents, and higher 19 relative household income was associated with lower risk in neighborhoods with a low percentage of Black residents. Race, Class and Gender Chima (2000) researched class, race, and gender as sources of inequities and barriers to African Americans well being and effects on infant mortality. He used a public health framework/modality to provide an overview of prevention initiatives within social work practice. The author of this study found that African American mothers are twice as likely as white mothers to receive proper care or care that does not begin until the last months of pregnancy. In his research, Chima found that factors such as poverty, poor nutrition, sanitation, deprived home conditions, socioeconomic injustice, discrimination, racial oppression and gender inequalities are associated with infant mortality. Chima (2000) concluded that African Americans in the lower socioeconomic class contribute immensely to the high infant mortality rate. Blacks are twice more likely as whites to lack prenatal care at almost every stage of pregnancy. The study also examined factors such as poverty, education, and residential segregation and how they relate to black infant mortality. The infant mortality amongst blacks was higher in areas and states with higher concentration of blacks, with higher levels of residential segregation in urban areas, and those that live below the poverty level. Chima also concluded that blacks are often segregated to areas with limited employment opportunities, limited access to health care, and to areas with a concentration of environmental and physical conditions. Women who live in poverty and have poor prenatal care are more likely to produce babies with low birth weight and illnesses during 20 childhood. Black mothers are more than three times as likely to die in childbirth as white mothers. The IMR is higher for babies born to teen mothers, with the rates bring twice as high among blacks compared to whites. Many studies have looked into the variance among average rates of infant mortality in countries other than the United States. Less attention has been paid to the differences in social inequality, as it relates to infant death, within other nations (Judge, 2009). Judge (2009) examines this imbalance by exploring differences in policy responses to social inequality, in relation to infant mortality in Canada, Chile, and the United Kingdom. Judge was able to use data available for monitoring birth-related outcomes by socioeconomic status. The data included level of mother’s highest education (Chile), occupation, area of residence and ethnic group (in parts of the UK.) In Chile, an increase was found between socio-economic status and level of mother’s education, in relation to infant mortality. In most instances, infant death remained consistent over the two periods of 1998–2000 and 2001–2003. In this study project, it was found that the least educated group, compared to the most educated group, and increased by 15%, from 2.6 to 3.0. Judge also found large differences in infant mortality rates between the 13 different regions of Chile. The researcher found an association between average mortality rates and average income between different areas of the population as well. As cited by Judge, Hollstein et al., (1998), reports that between 1985 and 1995, the gap of infant mortality rates between social groups in relation to the mother’s educational level declined, but general inequalities remain constant. Judge, et al., 21 describes one of the main goals in Chile, in reducing the gap of infant mortality between socioeconomic groups. The efforts to decrease infant mortality have been through the introduction of food programs that have had a major impact on improving malnutrition. The researchers found there were also important improvements in public education, water and sanitation services, and the strengthening of health services, which occurred in 1990. During this time, infant mortality rates almost halved. New and expanded health care services, a national program to treat acute respiratory infections, and immunization programs were developed. These improvements may have played a role in reducing infant mortality (Jimenez & Romero, 2007). In regards to the United Kingdom (UK), of the 645,881 live births registered in England and Wales, just under 3,188 (0.5%) resulted in infant mortality(Judge 2009). Judge stated that the infant mortality rate was higher among those births registered by the mother alone compared with those where the mother and the father were both named at registration. Moreover, women categorized in this study as black (Black, Caribbean, Black African and any other black) were shown to have a significantly higher rate of stillbirth and prenatal deaths; 2.4 and 2.2 times higher than white women. Asian women (Indian, Pakistani, and Bangladesh) were shown to be 1.8 and 1.6 times higher compared with white women. Judge (2009) found in Canada the rates of stillbirth and prenatal mortality among registered Indians have been estimated to be about double the Canadian average. Rates among the Inuit in the Northwest Territories are about two and a half times the rates for 22 Canada as a whole. In Canada, studies of the relationship between neighborhood income and birth outcomes have shown a significant relationship. Gonzalez et al., (2009) data from the Latin American region on maternal, newborn, infant, and child health show better outcomes among women with higher socioeconomic status. There has also been an unequal distribution of services shown in regards to maternal and child health initiatives in this area. The wealthiest groups are disproportionately benefiting from the introduction of new programs. Chile has been overwhelmingly recognized for its improvements in maternal and child health (Gonzalez et al.2009). These researchers analyzed the declining trends in maternal and child mortality in Chile between the years of 1990 and 2004. They also studied the variation in mortality across district quintiles of socioeconomic status. The goal was to determine whether and how these inequalities changed, documenting Chile's declining maternal, newborn, and child mortality trends during 1990 to 2004. Associations between reforms and mothers’ socioeconomic status were also explored. Gonzales et al., used data from women who delivered from a national registry maintained by the Department of Statistics, Ministry of Health, the National Statistics Institute, and the National Civil Registry and Identification Service. The maternal mortality ratio (MMR) as well as stillbirth, neonatal, infant (aged >28 days but <1 year), and child (aged 1-4 years) mortality rates were calculated for each year from 1990 to 2004. A total of 3, 902,698 live births occurred in Chile during 1990 to 2004. Of these, 5.3% (208,765) had low birth weight (<2500 g), and 5.7% (222, 529) were preterm (births before 37 full weeks of gestation). The total number of live births per year 23 decreased in Chile from 292,145, in 1990 to 230,352, in 2004. The authors only included data in which complete demographic information was given. This study found that women with higher education levels had lower mortality. In 1990, there were 123 maternal deaths recorded in Chile, and in 2004, only 42. The numbers of births and deaths decreased during the study period: the MMR dropped 56%, the stillbirth rate fell 10%, the neonatal mortality rate dropped 36%, and the infant mortality rate dropped 62% (Gonzalez et al.2009). A significant decline was found, with the biggest fall occurring in the infant and child mortality rates. The decline can be attributed to development in the country and the improvements in basic services (Gonzalez et al.2009). The stillbirth and neonatal mortality rates improved the least. This finding is consistent with other research, showing that stillbirth and neonatal mortality rates are slower than infant and child mortality rates, which improve in countries undergoing transition (Gonzalez et al., 2009). GENETICS David and Collins (2007) studied the disparities of infant mortality through genetics. In their study, they found that the rate of death for black infants, in their first year of life, increased from 1.6 times to 2.3 times the rate of white infants. The authors of the study suggested adding preterm birth to the list of genetic conditions causing infant mortality, such as hypertension and diabetes. Their rationale was African American women suffer twice the rate of preterm births compared with Caucasians, even when confounding social and economic variables are controlled. The researchers also suggested that the five leading causes of death in the first year of life, in the United Stated, for 24 African American infants are caused by congenital malformations, disorders related to short gestation, sudden infant death syndrome, maternal pregnancy complications and complications of placenta, cords and membranes. The authors of this study also suggest that birth weight is the determinant factor of infant mortality differences between blacks and whites. They hypothesize the reason why black babies die within the first year of life is that they have a higher rate of low birth weight. The researchers stated that low birth weight is linked to a short pregnancy gestation. David and Collins research determined that one has to measure the women’s menstrual history and other factors to assess reasons for the short pregnancy gestation. PRENATAL CARE In 1986, the United States was ranked 23rd among industrialized nations in infant mortality. Although the US infant mortality rate declined during the 1980’s and 1990’s, the black infant mortality rate increased (from two to two-and-one-half times) in comparison to white babies (Cleeton, 2003). One major reason for the disparity is poor black mothers delaying getting prenatal care. According to Cleeton, the delays in beginning prenatal care were attributed to lack of and/or no access to medical services. Another reason for black mother’s procrastination in prenatal care is “maternal inadequacies” such as ignorance of, or refusal to participate in, prenatal care and use of illegal or harmful drugs. Currently, the national African American infant mortality rate is two and a half times that of the national white infant mortality rate (Cleeton, 2003). The researcher studied the effects of the low-income mother’s daily struggles in the areas of safely 25 housing and adequately feeding their families, finding safe areas for their children to play, accessing and maintaining telephone service, transporting their families to health services, and even, dealing with language barriers. All of the daily struggles previously mentioned, have a major affect on whether or not a mother receives prenatal care, which ensures good health of their infant. Cleeton (2003) conducted a study using participant observations and open-ended interviews. She questioned and observed pregnant women living in two of the most impoverished Eastern City neighborhoods. The problem of accessing healthcare was found to be secondary to the more basic struggles of daily survival for these impoverished women. Low infant birth weight rates among the African American population may also be a result of generations of poverty and inadequate health care (Cleeton, 2003). Therefore, the rate may not decline without long-term, in depth, improvements in these settings. Taking for granted the material advantage of the middle class, the institution of medical care assumes people possess basic health, private health insurance, and private transportation. While many middle class women are married to men that have private employment-based health insurance, African American women, regardless of socioeconomic status, who give birth to low-weight babies, are accused of using drugs. Getting prenatal care, for a low-income woman of color, who needs childcare while she is at the doctor, is considered virtually impossible. However, Cleeton explains, these are assumed private family matters by society. Luecken, Purdom and Howe (2009), examined psychosocial risks such as distress, stress, and unintended pregnancy. The study also looked at the protective factors of social 26 support, mastery, and family associated with the entry into prenatal care among lowincome Hispanic women. The hypothesis was that women who were more acculturated would exhibit higher risk factors (such as distress, unintended pregnancy, and stressful life events), which were expected to result in later PNC entry. Protective factors (such as personal mastery, social support, father support, and family unity) were hypothesized to result in earlier PNC entry. With the sample of women involved in Luecken et al., (2009) about 70% of lowincome Hispanic women used PNC in their first trimester. The 483 adult women in this study had given birth to a live baby at a hospital within Maryvale or South Phoenix, Arizona, between June and November of 2005. The participants were either receiving or eligible to receive Medicaid or Federal Emergency Services coverage for their child’s birth. The women in the study averaged 28 years old and had an average of 2.7 children prior to entering this study. Thirty-nine percent of the women were single, fifty-five percent were married, and six percent widowed, separated, or divorced. Fifty percent of the women had not completed high school, forty-one had a high school diploma, and nine percent had education past high school. The women were identified with postpartum depression within 24-48 hours after the birth of their baby. A modified version of the National Friendly Access Program Survey was given to participants. On average, women in the study stated their first PNC visit was at 13 weeks. 69.5% of the interviewees went to their first PNC visit before the end of their first trimester (12 gestational weeks). 89.6% of the women went to their first appointment before the end of their second trimester and 5.4% of the sample did not receive PNC until 27 their third trimester. On the topic of social support, 5.1% did not receive any PNC social support. It was found that the support of the father was significantly linked with earlier PNC entry, whereas stress and/or an unintended pregnancy were associated with later PNC entry. Ultimately, it has been found that women do have the ability to make sure that they have a positive birth outcome given that the right support systems are in place. Madsen et al., (2002) evaluate the patterns of use of prenatal care among minority women and how it affects the adequacy or inadequacy of their prenatal care. Madsen et al. (2002) found there are many community programs around the U.S., which incorporate community in helping solve the problem of infant mortality. While six of 100 white babies die, 14 of 1000 African American babies die. There are several reasons for these disproportionate numbers; societal, socio economic and delivery (Madsen et al., 2002). Madsen et al., (2002) discussed some underlying factors of the American society such as poverty, income, inequality and racism are social issues that many times affect prenatal care and infant mortality. In the focus group Madsen et al. (2002) found that many adolescent mothers are still in the process of gaining their education, therefore, they are incapable of making informed decisions and they may not be as receptive to intervention such as prenatal care. The focus group subjects stated had they known of their pregnancy they would have sought prenatal care. Women under the age of 19 have pregnancy problems related to physical, emotional, financial and social distress which are magnified with childbearing (Madsen et al. 2002) . Younger females ages 15-16 are more at risk for negative birth outcomes and less likely seeking prenatal care in the first trimester, as well as having premature births (birth before 37 weeks). Madsen et al., 28 (2002) also found that another issue may be whether or not the pregnancy was planned, younger African American women were less likely to have expected pregnancies compared to woman of other racial groups. In addition, adolescents delay prenatal care because of being in denial about their pregnancy (Madsen et al., 2002). Summary There are numerous studies regarding the causes of African American infant mortality. Many of the studies listed above have commonalities such as social and environmental factors, prenatal care, and genetics in belief that they affect infant mortality in the African American community. These studies in addition to this project are some reasons why preventive programs were developed and implemented and to improve the disparity. 29 Chapter 3 METHODOLOGY Research Design The researchers used the exploratory research design to examine factors that served as possible contributing cause to the mortality rate of African American infant in Sacramento County. The purpose is typical when the researcher examines a new interest, when the subject of study is relatively new and unstudied, or when a researcher seeks to test the feasibility of undertaking a more careful study or wants to develop the methods to be used in a more careful study (Rubin & Babbie, 2008, p.136). This type of design is considered best method because the researchers can use it to identify possible explanations to the research purposes. In the current study, the researchers conducted a secondary data analysis examining the Sacramento County Black Infant Health Program (SCBIHP) and various services African American women received while being patients at the clinic. Data Collection Procedures The researchers collected secondary data from the Sacramento County Black Infant Health Program (SCBIHP) and then re-analyzed them based on objective purposes identified by the two authors. For over the years, SCBIHP maintain a statewide database system which specific information about the client was kept. Once human subjects was reviewed and approved by California State University, Sacramento, Division of Social Work, Committee for the Protection of Human Subjects along with the data collection protocol created by the researchers and approved by the Director of SCBIHP, the needed 30 information was uploaded to the state database and then compiled into data reports that do not identify the individual client served by this particular clinic. Essentially, the SCBIHP data system maintains information on the number of women in the SCBIH program since 2005. For the purposes of this researcher project, the two researchers extracted key demographic variables including the age of the mother, mother zip code, educational status, marital status, employment status, childcare needs, and primary source of income and housing needs. Prenatal information was also extracted from the database, which included: when the mother began prenatal care, medical diagnosis, insurance coverage, and when they enrolled in the SCBIHP. Additionally, risk factors such as acute health problems, chronic health problems, physical and psychological abuse were also extracted from the data source. The referral sources for the mother of the infant also collected. These referral sources included pregnancy services, family support services, postpartum services, newborn care, and counseling services and education services. The final area of extraction pertained to the mother’s birth outcomes such as the number of full-term deliveries, number of pre-term deliveries, number and percentages of very low birth and low birth weight babies, type of delivery, gender, birth defects, gestation period, days in hospital, whom the infant was discharged to and information pertaining to breastfeeding. Other identifiable information regarding the mother or the infant were not included in this data collection procedures. 31 Instruments Used The authors of this research project extracted data that were originally compiled by SCBIHP using the data collection tool created by the two principle investigators but was reviewed and approved by their thesis advisor as well as the Director of the Program. The researchers created the data collection tool based on the primary needs, services and risk factors of the clients served in the SCBIHP. The researchers met with the Coordinator of SCBIHP to identify areas that are permissible and relevant to the study objectives. The Coordinator advised the researchers to use the aforementioned variables because they would yield more findings. The areas for extraction were selected based on the focus of the research as they relate to the causes of African American infant mortality. Data Analysis Plan The data analysis began immediately after the collection of information from the data source. Researcher Kokayi entered the variables into SPSS then researcher Moore entered the value labels. After inputting all of the data into the data source the researchers emailed the spreadsheet to Dr. Lee to see if the data was coded properly. Once the researchers received the confirmation that the data was keyed into SPSS correctly, Dr. Lee wanted to assist the researchers to test the statistical signifance to determine the likelihood between the various variables. After doing so, Dr. Lee advised the researchers as to what statistical analysis should occur. The researchers ran crosstabs using (zip codes vs. prenatal initiation, income vs. medical diagnosis, zip code vs. education, education vs. prenatal initiation, education vs. medical diagnosis, education vs. breastfeeding initiation, medical diagnosis vs. drug, zip 32 code vs. chronic health, education vs. physical abuse, BIH enrollment vs. zip codes, drug vs. birth weight, birth defects vs. zip code and alcohol vs. gestation) variables and chisquare to see if there is a significance. The findings revealed feedback to the problem. Protection of Human Subjects In the fall semester of 2009, the two researchers completed an application for the protection of human subjects. First, general information was gathered from SCBIHP on the availability of data, permissible use of these data and the usefulness of this information. To inquire into the initial quest for information, appointment was set with the Coordinator of the program. In the meeting, the Coordinator stated that it would not be a problem to utilize the SCBIHP data for our thesis. She also stated that the researchers needed to contact Sacramento County DHHS Research Review Committee (RRC) for approval. The program coordinator gave the researchers the RRC chairperson information to find out the necessary steps for approval. The RRC chairperson stated for the researchers to send her a copy of the data collection tool and a copy of the CSUS human subject’s application. The researchers gathered information from the SCBIHP coordinator to examine the variables that could be utilized. The SCBIHP Coordinator gave the researchers listings of variables, what the variables entailed, and what the researchers would be able to examine. The researchers called a meeting to complete the IRB application. The application was submitted to Dr. Lee (thesis advisor) first for review and approval. The researchers submitted the human subjects’ application and the data collection tool to the Sacramento County DHHS Research Review Committee (RRC) and to the SCBIH 33 program coordinator. The committee and the program coordinator mailed a letter of approval for the research project to researcher Moore’s home. Once the application and county approval letter were reviewed and approved by Dr. Lee, the application was submitted to the Committee for the Protection of Human Subjects from the Division of Social Work for the final approval. The researchers considered this study exempt because the researchers reviewed pre-existing records of the SCBIHP that are completely anonymous. The Committee for the Protection of Human Subjects from the Division of Social Work contacted the researchers on December 11, 2009 indicating that the study, “Factors Attributing to African American Infant Mortality Rate in Sacramento County” has been approved as exempt with an approval number of 09-10-066. Limitations The authors endured several limitations while trying to work on this project. One limitation was trying to gather the data from the SCBIH program because the authors of the study had to create an original data collection tool to give to the Sacramento County RRC. The tool needed several revisions before being approved, which delayed the process of approval for three weeks. Another limitation that arise was the inability to interview individual clients/ review individual charts of the SCBIH program because of confidentiality due to the Health Insurance Portability and Accountability Act (HIPPA) and it could have put the clients at emotional risk. In addition to the previous limitations stated above the researchers found limited literature discussing the relativity of genetics and level of care to the infant mortality rate of African Americans. 34 Chapter 4 OUTCOMES Introduction In this chapter, data obtained from the research project were presented based on two statistical procedures. The first section focuses on descriptive statistics. The final section focuses on inferential statistics using the chi-square test of independence. DEMOGRAPHIC CHARACTERISTICS The finding of the study was that there is a major significance between all of the variables. In addition, it shows how effective the SCBIHP is and the different focus areas they target. Table 1. Client’s marital status Cumulative Frequency Percent Valid Percent Percent Valid Married 59 6.8 9.5 9.5 524 60.7 84.0 93.4 Divorced/Sep/Widow ed 29 3.4 4.6 98.1 Missing 12 1.4 1.9 100.0 624 72.3 100.0 Missing System 239 27.7 Total 863 100.0 Single Total Client marital status for the women enrolled in SCBIHP from 2005 to present is one of the key variables that affect infant mortality in the African American community 35 in Sacramento County. In our data abstraction, it was found that 84% (n= 524) of the clients are single, followed by married (9.5%) and (4.6%) are divorced, separate or widowed. Table 2. Employment status Cumulative Frequency Percent Valid Percent Percent Valid Not Employed 499 57.8 80.0 80.0 Part Time 52 6.0 8.3 88.3 Full Time 55 6.4 8.8 97.1 Unknown 2 .2 .3 97.4 16 1.9 2.6 100.0 624 72.3 100.0 Missing System 239 27.7 Total 863 100.0 Missing Total One of the key variables that affect infant mortality in Sacramento County is employment status. In our data abstraction, it was found that 80% (n= 499) of the clients are not employed in the SCBIHP from 2005 to present, followed by (8.8%) are employed full time and (8.3%) are employed part time. 36 Table 3. Current childcare needs Cumulative Frequency Percent Valid Percent Percent Valid Not Required 432 50.1 69.2 69.2 Required Now- 2 Weeks 46 5.3 7.4 76.6 Required Within 60 Days 56 6.5 9.0 85.6 Required within 120 Days 65 7.5 10.4 96.0 Unknown 13 1.5 2.1 98.1 Missing 12 1.4 1.9 100.0 624 72.3 100.0 Missing System 239 27.7 Total 863 100.0 Total Current childcare needs are an important variable found in our data abstraction from the SCBIHP from 2005 to the present. The researchers found 69.2% ( n= 432) of the clients did not require child care, followed by(10.4%) projected that they would need child care within 120 days of enrolling in the program and (9.0%) assumed they would need child care within 60 days. 37 Table 4. Current housing needs Cumulative Frequency Percent Valid Percent Percent Valid Not Required 380 44.0 60.9 60.9 Required Now thru 2 weeks 103 11.9 16.5 77.4 Required within 60 days 56 6.5 9.0 86.4 Required within 120 days 66 7.6 10.6 97.0 6 .7 1.0 97.9 13 1.5 2.1 100.0 624 72.3 100.0 Missing System 239 27.7 Total 863 100.0 Unknown Missing Total In the researchers’ data analyses from the SCBIHP it appeared that housing is considered significant variable. For this reason, it was found that 60.9% (n=380) of clients did not require immediate housing, secondly (16.5%) needed housing upon enrollment through two weeks, (10.6 %) anticipated that they needed housing within 120 days. 38 Table 5. Client’s income sources Cumulative Frequency Percent Valid Percent Percent Valid Employed 83 9.6 13.3 13.3 Partners/Parents 23 2.7 3.7 17.0 AFDC 287 33.3 46.0 63.0 Other 146 16.9 23.4 86.4 None 70 8.1 11.2 97.6 Missing 15 1.7 2.4 100.0 624 72.3 100.0 Missing System 239 27.7 Total 863 100.0 Total The income sources for the African American clients enrolled in SCBIHP from 2005 to the present were one of the main variables that affect infant mortality in Sacramento County. In our data abstraction, it was found that 46% (n= 287) of the clients have AFDC as their primary income source, followed by employed (13.3%, n= 83) and (11.2%) had no source of income. 39 Table 6. Client’s educational background Cumulative Frequency Percent Valid Percent Percent Valid Less than High School 217 25.1 34.8 34.8 High School Grad 201 23.3 32.2 67.0 College 166 19.2 26.6 93.6 Vocational 25 2.9 4.0 97.6 Unknown 1 .1 .2 97.8 14 1.6 2.2 100.0 624 72.3 100.0 Missing System 239 27.7 Total 863 100.0 Missing Total A key variable examined for African American patients that were enrolled in SCBIHP from 2005 to the present is the client’s educational background. In the researchers data abstraction, it was found that (34.8% n=217) had less than a high education, followed by (32.2%) had only completed high school and (26.6%) had some college education. 40 Table 7. Client used alcohol during pregnancy Cumulative Frequency Percent Valid Percent Percent Valid Never 460 53.3 73.7 73.7 Quitb4Conception 84 9.7 13.5 87.2 QuitDuringPregnancy 47 5.4 7.5 94.7 Drinks 10 1.2 1.6 96.3 Other 7 .8 1.1 97.4 16 1.9 2.6 100.0 624 72.3 100.0 Missing System 239 27.7 Total 863 100.0 Missing Total More than half (73.7% n = 460) of the clients in the SCBIHP reported never to consume alcohol during pregnancy. It was found that 13.5% of the clients quit drinking alcohol before conception followed by 7.5% of the clients quit during pregnancy. 41 Table 8. Client used cigarettes during pregnancy Cumulative Frequency Percent Valid Percent Percent Valid Never 408 47.3 65.4 65.4 Quitb4Conception 40 4.6 6.4 71.8 QuitDuringPreg 65 7.5 10.4 82.2 Smokes 94 10.9 15.1 97.3 2 .2 .3 97.6 15 1.7 2.4 100.0 624 72.3 100.0 Missing System 239 27.7 Total 863 100.0 Other Missing Total Client’s smoking during pregnancy is another variable that SCBIHP examines. Six out of 10 (65.4%, n = 408) never used cigarettes while pregnant followed by 6.4% quit before conception and 10.4% of the clients quit during pregnancy. 42 Table 9. Client planned pregnancy Cumulative Frequency Percent Valid Percent Percent Valid Yes 129 14.9 20.7 20.7 No 434 50.3 69.6 90.2 61 7.1 9.8 100.0 624 72.3 100.0 Missing System 239 27.7 Total 863 100.0 Missing Total A planned pregnancy can affect having a positive birth outcome. Over half (69.6%, n= 434) of the clients in the SCBIHP stated they did not plan their pregnancy while 20.7% anticipated conceiving a child. The SCBIHP assisted these clients in getting community resources to ensure a successful delivery. 43 Table 10. Client used other substance during pregnancy Cumulative Frequency Percent Valid Percent Percent Valid Never 564 65.4 90.4 90.4 7 .8 1.1 91.5 Marijuana 31 3.6 5.0 96.5 Other Drug 1 .1 .2 96.6 useDeniedButSuspected 3 .3 .5 97.1 Declined 1 .1 .2 97.3 Missing 17 2.0 2.7 100.0 624 72.3 100.0 Missing System 239 27.7 Total 863 100.0 Cocaine Total Substance use during pregnancy can produce a poor outcome. Approximately all of the clients (90.4%, n= 564) in the program from 2005 to present reported never using substances during pregnancy followed by 5.0% who informed the program that they used marijuana and 1.1% admitted using cocaine. TEST OF STATISTICS This section reports the chi-square test of independence on several major variables to examine the relationship between these variables. One of the purposes of doing so is to be able to generalize findings from this research project to the general population. We first begin by examining the association between prenatal care period and zip code. 44 Figure 1. Zip code and prenatal initiation chi square test Value Asymp. Sig. (2sided) df Pearson Chi-Square 1595.351 42 .000 a Likelihood Ratio 1274.561 42 .000 Linear-by-Linear Association 563.379 1 .000 N of Valid Cases 624 A key variable examined for African American clients that were enrolled in SCBIHP from 2005 to the present is the trimester prenatal care began. In the researchers data abstraction, it was found that (58.3% n= 364) started prenatal care during their first trimester, followed by (19.4%) began their prenatal care during their second trimester and (7.9%) initiated their prenatal care during their third trimester. In our examination between trimester and zip code, by using the chi-square test of independence, it was found that there is a significant relationship between where the clients live and when they began prenatal care (chi-square = 1595.351, df= 42, p< .000). Overall, 20.0% of the clients reside in the 95823 area code while 42.2% began prenatal care during their first trimester. Bell et al., (2006) explains that in certain situation when African Americans are in a clustered neighborhood can result in positive birth outcomes due to social support. In the research conducted, zip code was found to be an important factor in the SCBIHP from 2005 to present. The authors of this project found that (20.0% n=165) 45 resided in the 95823 zip code in Sacramento County, followed by (12.0%) resided in the 95838 area and (5.2%) lived in the 95828 region. Medical diagnosis during pregnancy is another vital variable that affects infant mortality in Sacramento County during 2005 to present. The researchers examined the data and found (41.0%, n= 256) had no medical diagnosis during pregnancy, secondly (8.5%) had anemia and (5.4%) had premature labor. Figure 2. Income and medical diagnosis chi square test Value Asymp. Sig. (2-sided) Df Pearson Chi-Square 1024.655a 50 .000 Likelihood Ratio 1067.553 50 .000 Linear-by-Linear Association 413.977 1 .000 N of Valid Cases 624 There is a considerable relationship between clients income and medical diagnosis during pregnancy (chi-square = 1024.655, df= 50, p< .000). 33.3% of SCBIHP clients were receiving AFDC as their primary source of income, and 29.7% of clients reported not having any medical diagnosis during pregnancy. Phillips et al., (2009), found evidence that neighborhood composition modified the association with preterm birth: higher relative household income was associated with higher risk of preterm birth in neighborhoods with a high percentage of Black residents, and higher relative household 46 income was associated with lower risk in neighborhoods with a low percentage of Black residents. Figure 3. Cross tabulation between education and prenatal initiation Value Asymp. Sig. (2-sided) Df Pearson Chi-Square 712.515a 15 .000 Likelihood Ratio 792.161 15 .000 Linear-by-Linear Association 419.465 1 .000 N of Valid Cases 624 By using the chi-square test of independence to examine the association between educational background of the patients and prenatal care, it was observed a substantial connection between the variables (chi-square = 712.515, df= 15, p< .000). By a closer examination, it was found that 42.2% of the clients began prenatal care in their first trimester and 25.1% of the clients have less than a high school education. This table is supported by Madsen et al. (2002) which states that many teen mothers are incapable of making informed decision regarding pregnancy and prenatal care, because they have not completed their education. 47 Chapter 5 CONCLUSION Overall Observations from literature review Health disparities among African-American families represent a significant social problem. The researchers noted that the mortality rates of African American infants are two times higher than white infants (Hearst et al., 2008). Madsen et al.(2002) stated that the American society has underlying factors of poverty, income, inequality and racism as social issues that affect prenatal care and infant mortality. Many African American mothers are unaware of the benefits of prenatal care, which contributes to infant mortality (Madsen et al.). Poverty stricken mothers have a sixty percent higher infant mortality rate (Barnes, 2008). Poverty leads to malnutrition of the pregnant mother, which results in a low infant birth weight. Hearst et al., concluded that many income inequalities affect the quality of care; as a result, access to care is often very limited. Many women do not make enough money to purchase health care insurance; and, as stated previously, many doctors will not treat women at risk with no health care. Racism is another factor that affects infant mortality rate because of cultural insensitivity and lack of cultural awareness (Barnes, 2008). Savage et al., (2007) noted that women who are pregnant need social support from friends, family, etc. to help them with needed resources as well as motivation to follow through with prenatal care. 48 Overall observations from research project The researchers analyzed secondary data from the SCBIHP from 2005 to the present; there were 624 participants enrolled in the program. Researchers Kokayi and Moore abstracted the key demographic variables: marital status, employment status, current childcare needs, current housing needs, income source, trimester prenatal care began, medical diagnosis during pregnancy, educational background and zip code to find if they serve as contributing factors of infant mortality in the African American community in Sacramento County. Zip codes and patient’s levels of education proved to be a significant factor in relationship to prenatal initiation as it affects infant mortality, the less education a patient has the later they will initiate prenatal care. There is a correlation between patient’s income and medical diagnosis; almost half of the participants reported to be receiving AFDC indicating a low socioeconomic status, which affects birth weight. About one of three participants in the SCBIHP reported having less than a high school education. Social Work Implications The researchers would identify at risk pregnant African American women and provide them with assistance and resources to address the issues on the micro level. Personally, the researchers would like to work with the at risk pregnant women described in this research project either individually or in groups in order to have direct impact. These women would be at-risk because of the combined risk factors they had working against them such as living in urban neighborhood, low educational status, single, lowincome (AFDC), and under 20 years old, or over 30 years old. The authors of this project 49 would also try to provide case management services to assure that women are receiving proper prenatal care. In this instance, case management would benefit this population in that they would have someone helping them throughout their pregnancy on a regular basis. Meeting with the clients; not only helping them but also empowering and teaching how to have a healthy baby, born at a normal birth weight, which will live past the oneyear mark. Empowering the women is another way the researchers would work on the micro level. Some African Americans have problems that stem from oppressive forces such as institutional racism and residential discrimination. Empowering them can reduce the powerlessness, lack of motivation, and encourage them to take control of their lives. The authors of this study can try to engage the women by supports groups, one-on-one counseling and various activities that can promote self-efficacy and sustainability. On the macro level, the researchers would educate pregnant and parenting women and the African American community about the causes of infant mortality. The researchers would also work with the women and the community to improve their nutrition and health, as well as educate them about sleep patterns to prevent Sudden Infant Death Syndrome (SIDS). Social action is another way the researchers would work on the macro level. Advocating to guarantee that the pregnant mothers are being treated equally in the hospitals to ensure that specific policies and services are implemented to improve their health status. As social workers, the researchers would take the responsibility to demand justice the aggregation of forces such as income inequality and racism. The authors of 50 this study could develop and implement policies and programs that are aimed at overcoming barriers for the African American community. Summary The researchers selected this topic to comprehend why African American infants are dying more than any other ethnicity. In doing this research, the researchers were very alarmed by what was exposed. The researchers are motivated by these findings. Through their work as advocates for low income African American women they will strive to contribute to improving the health of pregnant and parenting African-American women, infants and their families, so they can contribute to the health and wellness of the entire society. In addition, the authors of this project would like to expand their research to analyze other states that have higher infant mortality rates and explore what factors are causing the rates to be so high. Additionally, the researchers feel it would be beneficial to examine other states where the IMR is lower than Sacramento County. The authors would also like to investigate the effect of segregation on different demographic levels, and the lack of transportation as a barrier to care. In examining the research done, the authors noticed that any person wishing to study the African American IMR could use the current study as a base. Any future researchers could study specific regions of Sacramento County and the unique factors each county faces. If this research is, completed Sacramento County may be able to address the factors by region, which may prove to be effective. The researchers believe that implementing more programs such as the California’s Initiative-Black Infant Health Program would reduce the disparity in infant mortality. 51 These programs aim to improve the health of both infant and mother, promote and support breastfeeding, and reduce the incidence of low birth weights. Services provided include food supplementation, nutrition counseling, supports, education, referrals and counseling on health and lifestyle issues. In research, it has been found that other countries and even states have implemented legislation that works to reduce the disparities in their country (Cleeton, 2003) in hopes that the reduction will trickle down and infant mortality will decrease. If the California government would adopt this way of thought, African American infant mortality in California and even as specifically as Sacramento County may be positively affected. 52 APPENDIX The Questionnaire Pre-Collection The researchers will collect data from the BIH Program. The researchers’ goals are to evaluate the public service of the BIH program. Areas for data extraction from the BIH data source 1. Total clients served since 2005 2. Demographic variables Age of mothers Educational status Marital status Employment Child Care needs Primary Source of Income Housing Needs 3. Prenatal Information Start of prenatal Care(trimester) Medical Diagnosis Insurance coverage Medications Enrollment into BIH Program(trimester) 4. Risk Factors Acute Health Problems 53 Chronic Health Problem Physical Abuse Psychological Abuse 5. Services Referred Pregnancy Services Family Support Services Postpartum Services Newborn Care Counseling and Education 6. Birth Outcome Number of Full term deliveries Number of Pre term deliveries Number and percentages of very low birth weight babies Number and percentages of low birth weight babies Type of Delivery Gender Birth Defects Gestation Period Days in Hospital Who Infant was discharged to 7. Breastfeeding 54 REFERENCES Alexander, G., Wingate, M., Bader, D., and Kogan.,M.(2008): The increasing racial disparity in infant mortality rates: Composition and contributors to recent US trends. Am J Obstet Gynecol. 198, 51.e1-51.e9. Barnes, G. (2008). Perspectives of African American women on infant mortality. Social Work in Health Care, 47(3), 293-305. Bell, J., Zimmerman, F., Almgren, G., Mayer, J., Huebner, C. (2006) Birth outcomes among urban African-American women: A multilevel analysis of the role of racial residential segregation. Social Science & Medicine, 63, 3030–3045. Biermann, J., Dunlop, A., Brady, C., Dubin, C. and Brann, A. (2006). Promising practices in preconception care for women at risk for poor health and pregnancy outcomes. Matern Child Health Journal, 10, 21-28. Chima, F. (2000). Infant mortality, class, race and gender. Journal of Health and Social Policy, 12(4).1- 16. Cleeton, E..(2003). Are you beginning to see A pattern here?” Family and medical discourses shape the story of Black infant mortality. Journal of Sociology and Social Welfare, 30(1), 41-63. David, R. and Collins, J. (2007). Disparities in infant mortality: What’s genetics got to do with it? American Journal of Public Health, 97(7), 1191-1197. 55 Dunlop,A., Dubin, C., Raynor, D., Bugg, W., Schmotzer, B. and Brann, A.( 2008). Interpregnancy primary care and social support for African- American women at risk for recurrent very-low-birth weight delivery: A pilot evaluation. Maternal Child Health Journal 12, 461–468. Gonzalez, R., Requejo, J, Nien, J, Merialdi, M, Bustreo, F, and Betran, A. For the Chile maternal, newborn, and child health writing group. (2009) Tackling health inequities in chile: maternal, newborn, infant, and child mortality between 1990 and 2004. American Joumal of Public Heaith, 99(7), 1220-1226. Hearst, M., Oakes, M. and Johnson, P. (2008). The effects of racial residential segregation on black infant mortality. American Journal of Epidemiology, (168)11, 1247-1254. Holland,M., Kitzman., H., and Veazie P.(2009). The effects of stress on birth weight in lowincome, unmarried black women. Women’s health issues 19, 390-397. Howell, E. (2008). Racial disparities in infant mortality: A quality of care perspective. Mount Sinai Journal of Medicine, 75, 31-35. Jimenez, J. & Romero, M. (2007). Reducing infant mortality in Chile: “success in two phases”. Health Affairs, 26(2), 458-465. Judge, K. (2009) Inequalities in infant mortality: Patterns, trends, policy responses and emerging issues in Canada, Chile, Sweden and the United Kingdom. Health Sociology Review, 18, 12–24. Leslie, J., Galvin, S., Diehl., S., Bennett., T., Buescher., P.(2003). Infant mortality, low birth weight, and prematurity among Hispanic, White, and African American women in North Carolina. American Journal Obstet Gynecol, 188, 1238-40. 56 Luecken, L., Purdom, C., and Howe, R.(2009)Prenatal care initiation in low-income Hispanic women: risk and protective factors. American Journal of Health Behavior, 33(3), 264275. Madsen, M., Kowalik, J., Smuckler, N., Garber, H., Casey, M., and Bradford, L. (2002)Utilizing focus groups to determine barriers to prenatal care adequacy among African American Adolescents. Clinical Research and Regulatory Affairs, 19,351-365. Owusu-Ansah, A. & David, R. (2008). Mortality risk of small infants varies with their mother’s birthweight and race. Pediatric and Perinatal Epidemiology, 22. 145-154. Papacek, E., Collins, J., Schulte, N., Goergen C. & Drolet, A. (2002). Differing post neonatal mortality rates of African American and White Infants in Chicago: An ecological study. Maternal and Child Health Journal, (6)2, 99-104. Paul, D., Mackley, A., Locke, R., Stefano, L. & Kroelinger, C. (2008). State infant mortality: An ecologic study to determine modifiable risks and adjusted infant mortality rates. Matern Child Journal, 13, 343-248. Payne, M. (2005). Modern Social Work Theory (3rd ed.). Chicago: Lyceum Books Phillips,G.,Wise, L., Rich- Edwards, J., Stampfer, M., and Rosenberg, L.(2009). Income incongruity, relative household income, and preterm birth in the black women’s health study. Social Science & Medicine 68, 2122–2128. Popple, K. & Stepney, P.,( 2008). Social Work and the Community: A critical framework for practice. McMillian. Rubin, A. & Babbie, E. (2008). Research methods for social work. (6th ed.). Belmont, CA: Brooks/Cole. 57 Savage, C., Anthony, J., Lee, R., Kappesser, M. & Rose, B. (2007). The culture of pregnancy and infant care in African American women: A ethnographic study. Journal of Transcultural Nursing, (18)3, 215-223.