FERTILITY Lecturer : Elizabeth Nyirenda 11 September 2018 UNZA- Population Studies Dept 1 Introduction • https://www.youtube.com/watch?time_ continue=187&v=mdR8o_mChKY 11 September 2018 UNZA- Population Studies Dept 2 Definition of Concepts • Fertility: This is the actual childbearing performance of individuals, couples, groups or population. Measures of fertility normally refer only to live births. By convention, measures of fertility are related to mothers aged 15 - 49. 11 September 2018 UNZA- Population Studies Dept 3 Definition of Concepts • Natural fertility: fertility where couples do not alter their reproductive behaviour. In practice this can be taken to mean the fertility of populations whose members do not use contraception or induced abortion. • Fecundity: The physiological capability of a man, woman or couple to produce a live birth. 11 September 2018 UNZA- Population Studies Dept 4 Definition of Concepts • Menopause: The permanent cessation of menstruation at the end of reproductive years. The mean age at menopause of most populations for which measurements of fertility exist falls between ages 45-50. • Menache: This is the on-set of ovulation in a woman’s life. It marks the potential beginning of the childbearing years. 11 September 2018 UNZA- Population Studies Dept 5 Definition of Concepts • Spemarche: This is the onset of the production of sperms in a boy child. • Live birth: This is a complete expulsion or extraction from its mother, a product of conception, irrespective of duration of pregnancy which after shows signs of life such as beating of heart, pulsation of umbilical code and movement of muscles. 11 September 2018 UNZA- Population Studies Dept 6 Sources of Fertility Data • • • • Population census National Surveys e.g. DHS Populations Registers VRS 11 September 2018 UNZA- Population Studies Dept 7 Measuring Fertility • Reasons why not calculate fertility with reference to fathers: • In theory there is no reason why fertility rates expressed with reference to the father should not be calculated. 1. In practice it is very difficult to determine paternity. 2. The biological limits on the age range of male fertility are less restrictive. This can make measures problematic. 11 September 2018 UNZA- Population Studies Dept 8 Measures of Fertility • Crude Birth Rate (CBR) – This the annual number of births per thousand population at Mid year. • Example : Egypt 1990 CBR = (B/P) *1000 Births = 1, 737,000 Mid Year Population = 52,426,000 CBR = 33.1 • Int: There were 33 births per 1000 population in 1990 in Egypt 11 September 2018 UNZA- Population Studies Dept 9 Measures of Fertility • General Fertility Rate (GFR)- The number of live births occurring in a year per 1,000 women of childbearing age. Example : Egypt 1990 Births – 1,737,000 Women 15-49 – 12,423,000 GFR =( B/W15-49)*1000 = 140 Int : They were 140 births per 1000 women of reproductive age in Egypt in 1990 11 September 2018 UNZA- Population Studies Dept 10 Measures of Fertility • Child Woman Ratio (CWR): The ratio of all children aged 0-4 years to women aged 1549 years in the population. • Example : Egypt 1990 • Children 0-4 -7588000 • Women 15-49 – 12423000 • CWR = [C(0-4)/ W (15-49)]*1000 =611 Int :There were 611 children per 1000 women of child bearing age in Egypt in 1990 11 September 2018 UNZA- Population Studies Dept 11 Measures of Fertility • Age Specific Birth Rate (ASBR)- Is the annual number of births to women in a particular age group per 1,000 women in that age group. • Total Fertility Rate (TFR) -Is the average number of live births a woman would have by age 50 if she were subject, throughout her life, to the age specific fertility rates observed in a given year. The calculation assumes there is no mortality and is expressed as number of children per woman. 11 September 2018 UNZA- Population Studies Dept 12 Measures of Fertility TFR = ∑ ASFR (15-49) *5 Or TFR = [∑ ASFR (15-49) *5]1000 11 September 2018 UNZA- Population Studies Dept 13 Measures of Fertility • Completed Family Size (CFS)( Mean Parity)- Is the number of children ever born to women who have completed their reproduction, i.e., those aged 50 and older • Mean Age at Child Bearing (MACB) Is the mean age of mothers at the birth of their children if women were subject throughout their lives to the age-specific fertility rates observed in a given year. It is computed as the sum of agespecific fertility rates weighted by the midpoint of each group. 11 September 2018 UNZA- Population Studies Dept 14 Measures of Fertility • Gross Reproductive Rate (GRR)- Refers to the average number of female births that a woman would give birth to by the time she reached the end of her reproduction if she experienced age specific fertility rates prevailing in that year. • Net Reproductive Rate (NRR) -refers to the average number of female births born to women aged 15-49 years that would survive to the end of their reproductive period after experiencing the prevailing fertility and mortality levels. 11 September 2018 UNZA- Population Studies Dept 15 Measures of Fertility Population x , 2015 Age group A 15-19 20-24 25-29 30-34 35-35 40-44 45-49 Totals 11 September 2018 Women B Births C 9,493,761 8,678,024 9,341,226 10,179,403 11,369,766 11,049,377 9,607,011 69,718,568 484895 965122 1083010 889365 424890 81027 3624 3,931,933 ASFR D (C/B) TFR 0.05108 0.11121 0.11594 0.08737 0.03737 0.00733 0.00038 0.411 2.053 UNZA- Population Studies Dept 16 Fertility in Zambia 11 September 2018 UNZA- Population Studies Dept 17 2010 CPH 11 September 2018 UNZA- Population Studies Dept 18 Fertility Indicators 11 September 2018 UNZA- Population Studies Dept 19 Levels, Patterns, Differentials and Trends in Fertility 11 September 2018 UNZA- Population Studies Dept 20 Levels , Patterns , Differentials and Trends in Fertility 11 September 2018 UNZA- Population Studies Dept 21 PRB – Zambia 2010 Census 11 September 2018 UNZA- Population Studies Dept 22 Fertility Patterns and Differentials EDUCATION STATUS • Most studies have discovered an inverse relationship between education and fertility. Studies have also found a positive correlation between education status and contraception use. 11 September 2018 UNZA- Population Studies Dept 23 2013-14 ZDHS 11 September 2018 UNZA- Population Studies Dept 24 Fertility Patterns and Differentials • ECONOMIC STATUS • There is an inverse relationship between economic status and fertility. This when we use income levels of women and compare it with fertility level; Most studies have demonstrated that female participation in economic activity tends to reduce their fertility. e.g. in Zambia using census data to compare fertility levels of women working and those not working give the following trend. 11 September 2018 UNZA- Population Studies Dept 25 TFR BY WORKING STATUS 11 September 2018 1980 1990 2000 2007 Working 7.1 7.1 5.8 5.2 Not working 6.2 5.2 6.5 6.8 UNZA- Population Studies Dept 26 Fertility Patterns and Differentials OCCUPATION • Several studies have discovered that occupations associated with primary industries such as agriculture tended to have higher fertility compared to tertiary industries. In most times occupation of husband is used as an index. 11 September 2018 UNZA- Population Studies Dept 27 Fertility Patterns and Differentials • Residence • Rural Areas have higher fertility than urban areas. This is due to high unmet need and low uptake of family planning. • Other differentials that have been studied in relation to fertility include ethnicity; race and religion though minor variations have been reported. 11 September 2018 UNZA- Population Studies Dept 28 FERTILITY LEVELS AND TRENDS FOR THE WORLD 11 September 2018 UNZA- Population Studies Dept 29 Fertility Levels and Trends • • • • Zambia Sub-Suharan Africa Africa Global 11 September 2018 UNZA- Population Studies Dept 30 WPP 2017 11 September 2018 UNZA- Population Studies Dept 31 PRB – TFR 2018 11 September 2018 UNZA- Population Studies Dept 32 PRB – BIRTHS 2018 11 September 2018 UNZA- Population Studies Dept 33 Reasons for High Fertility in LDR’s • Most African societies are pressured to have children because of the need to replenish society • Children are seen as old age security. Social economic and labour Insurance. • Sex preference; in certain societies specific sexes are preferred e.g. In Asia male children are preferred to female children. • Prestige; in some societies it is prestigious for one to have large family. • Low education levels and lack of participation in economic activities. • High unmet need for contraception 11 September 2018 UNZA- Population Studies Dept 34 Trends in Contraceptive use 11 September 2018 UNZA- Population Studies Dept 35 Reasons for High Fertility in MDR’s • Desire to acquire wealth so smaller families normally have lower consumption levels. • Its prestigious in developed countries to have smaller family sizes • Participation in economic activities is usually high in MDRs • Desire for quality children and not quantity children • Desire for upward mobility (rising social status) 11 September 2018 UNZA- Population Studies Dept 36 Fertility Theories 11 September 2018 UNZA- Population Studies Dept 37 Fertility Theories Outline • Introduction • Davies and Blake intermediate variable framework • John Bongaarts Proximate Determinants • Caldwells Theory of Intergenerational Wealth Flows • Q&A 11 September 2018 UNZA- Population Studies Dept 38 Fertility Theories • Introduction • Fertility comprises one of the greatest areas of discontinuity between national policies and individual goals. • National governments have the power to greatly influence mortality and migration policies but have limited influence on fertility regulation or control. Fertility largely remains a preserve of individual decision. • Fertility theories help to explain the reproductive behavior of individuals , couples or groups. 11 September 2018 UNZA- Population Studies Dept 39 Fertility Theories 1. DAVIES AND BLAKE • Introduction • Davies and Blake developed a modified intermediate variable framework to fertility determinants. • They were intensely interested in the determinants and consequences of fertility-related attitudes and behaviours. They listed 11 intermediate variables that eventually influence fertility. 11 September 2018 UNZA- Population Studies Dept 40 Fertility Theories The variables were classified into three groups. 1-The intercourse variables 2-The conception variables 3-Gestation and parturition variables 11 September 2018 UNZA- Population Studies Dept 41 Fertility Theories I. FACTORS AFFECTING EXPOSURE TO INTERCOURSE “INTERCOURSE VARIABLES” (A)Those governing the formation and dissolution of unions in reproductive age. 1. 2. 3. Age at entry into sexual unions (legitimate and illegitimate) Permanent celibacy: proportion of women never entering sexual unions Amount of reproductive period spent after or between unions 3a. When unions are broken by divorce, separation or desertion 3b. When unions are broken by death of husband 11 September 2018 UNZA- Population Studies Dept 42 Fertility Theories B) Those governing the exposure to intercourse within unions 4. Voluntary abstinence 5. Involuntary abstinence (from impotence, illness, unavoidable but temporary separations) 6. Coital frequency (excluding periods of abstinence) 11 September 2018 UNZA- Population Studies Dept 43 Fertility Theories II. FACTORS AFFECTING EXPOSURE TO CONCEPTION”( “CONCEPTION VARIABLES”) 7. Fecundity or infecundity, as affected by involuntary causes, but including breastfeeding. 8. Use or non-use of contraception a. By mechanical and chemical means b. By other means. 9. Fecundity or infecundity as affected by voluntary causes (sterilization or medical treatment) 11 September 2018 UNZA- Population Studies Dept 44 Fertility Theories III. FACTORS AFFECTING GESTATION AND SUCCESSFUL PARTURITION (“GESTAION VARIABLES”) 10. Foetal mortality from involuntary causes (miscarriages) 11. Foetal mortality from voluntary causes (induced abortion) 11 September 2018 UNZA- Population Studies Dept 45 Fertility Theories 2. JOHN BONGAARTS Introduction Bongaarts (1978) has been instrumental in refining our understanding of fertility control, he collapsed the 11 intermediate variables in Davies and Blakes theory into 8 variables which he called “PROXIMATE DETERMINANTS. 11 September 2018 UNZA- Population Studies Dept 46 Fertility Theories • Bongaarts also suggests that, the difference in fertility from one population to the next is largely accounted by only four of those variables: 1. 2. 3. 4. 11 September 2018 age at marriage, use of contraceptives, incidence of abortion , and involuntary infecundity ( especially infecundity as affected by breastfeeding practices). UNZA- Population Studies Dept 47 Fertility Theories • Proximate determinants of fertility 1. *Proportions of women married or in sexual unions a. Age at first marriage b. The proportions of women who never enter sexual unions c. The frequency of divorce, widowhood, and remarriage d. Exposure outside marriage 11 September 2018 UNZA- Population Studies Dept 48 Fertility Theories 2. Patterns of sexual activity a. Frequency of intercourse b. Postpartum abstinence c. Spousal separation 3.* Breastfeeding and lactation amenorrhea (postpartum infecundability) 11 September 2018 UNZA- Population Studies Dept 49 Fertility Theories 4.* contraception use (including sterilization) 5.* induced abortion 6. Foetal loss (spontaneous intrauterine mortality) 7. Natural infertility 8. PathologicalUNZAinfertility Population Studies Dept 11 September 2018 50 Fertility Theories Bongaarts Model • Bongaarts proposed a simple but ingenious model (method) of quantifying the relative effects of the proximate determinants of fertility in a given population. • The model is based on the view that the effect of each of the proximate determinants-marriage, breastfeeding and postpartum abstinence, and contraception and induced abortion-is to reduce fertility in a given population from some hypothetical level which might be achieved. 11 September 2018 UNZA- Population Studies Dept 51 Fertility Theories • TFR=TF x Ci x Cc x Ca x Cm. TF – Total Fecundity Ci – Index of postpartum infecundability Cc – Index of contraception Ca - Index of abortion Cm – Index of Marriage 11 September 2018 UNZA- Population Studies Dept 52 Fertility Theories 1. The index of marriage ( Cm) refers to the proportion married, taking account of the ages of married females and the relative importance of each age group in child bearing. • The index equals 1 if all women of reproductive age are married, and 0 if none are married 11 September 2018 UNZA- Population Studies Dept 53 Fertility Theories 2. The index of contraception ( Cc) takes account of the prevalence and effectiveness of contraception. • The index of contraception equals 1 if contraception is absent or completely in efficient, and 0 if all fecund women use 100 per cent effective contraception. 11 September 2018 UNZA- Population Studies Dept 54 Fertility Theories • The index of induced abortion (Ca) ranges from 1, in the absence of induced abortion , to 0 if all pregnancies are aborted. • The index of postpartum infecundability (Ci) equals 1 in the absence of breastfeeding and postpartum abstinence, and 0 if the duration of infecundibility is infinite. 11 September 2018 UNZA- Population Studies Dept 55 Fertility Theories • The four proximate determinants each have the potential to reduce the total fertility rate. • If they have no limiting effect- as would occur if all women of reproductive age were married, and contraception, abortion and breastfeeding were absent- fertility would rise to an average of 15.3 births per woman. Bongaarts and Potter (1983) called this maximum figure total fecundity (TF). • By multiplying TF by each of the proximate determinants TFR can be obtained. 11 September 2018 UNZA- Population Studies Dept 56 Fertility Theories • 3. Caldwell’s Intergenerational Wealth Flow Theory Introduction • John Caldwell’s wealth flows theory proposes a direct link between family structure and fertility (Caldwell, 1976). • According to the theory, there are only two forms of family structure, differing principally in the direction of wealth flows among generations. 11 September 2018 UNZA- Population Studies Dept 57 Fertility Theories • In primitive and traditional societies, net wealth flows are primarily upward from younger to older generations, and individual interests are subjugated to corporate interests. In developed nations, family structure is organised in terms of downward wealth flows where parents are expected to provide for children’s economic wellbeing. 11 September 2018 UNZA- Population Studies Dept 58 Fertility Theories The theories proposes that; A. Fertility decisions in all societies are economically rational responses to familial wealth flows. B. In societies with net up ward flow of wealth, the economically rational decision is to have as many children as possible ( within the constraints imposed by biology) because each additional child adds positively to a parents wealth, security in old age, andUNZAsocial and political wellbeing. 11 September 2018 Population Studies Dept 59 Fertility Theories C. In societies with net downward wealth flows, the economically rational decision is to have no children or the minimum number allowed by a psychological disposition that derives pleasure from children and parenting. The worldwide transition from high to low fertility is the result of a change in family structures from upward to downward wealth flows. 11 September 2018 UNZA- Population Studies Dept 60 Fertility Theories • This change in family structure was due to the spread of new values that placed a premium on individual satisfaction and achievement. • Those values emanated from the educated middle class in the west and are now being exported to the developing world through mass formal education. • Implicit in the education materials and expectations of schools is the individualistic value system that produces downward wealth flows. 11 September 2018 UNZA- Population Studies Dept 61 Fertility Theories • Labour markets make the adoption of those individualistic values, which are adversative to the family or group production characteristic of pretransition societies, economically feasible. • The transition from “traditional” to “modern” family structure occurs when a critical mass of individuals adopt new values, and respond with low fertility. The attainment of mass education in a country should therefore precipitate and predict the fertility transition. 11 September 2018 UNZA- Population Studies Dept 62 Fertility Theories • The most serious challenge to wealth flows theory has come from evolutionary biologist. • The argument that prior to modernization, upward wealth flows characterised human family structures is inherently antithetical to theory in evolutionary biology. • Biologist expect net wealth flows to be downward in all organisms, including human being. 11 September 2018 UNZA- Population Studies Dept 63 Fertility Theories • Caldwell’s wealth flows theory differs from others by expanding the definition of intergenerational transfers across the life course and by; 1. Directly linking transfers across the life course and by directly linking changing value systems regarding intergenerational transfers of wealth to fertility transition. Defining wealth as “all the money, goods, services, and guarantees that one provides to another”. 11 September 2018 UNZA- Population Studies Dept 64 Fertility Theories 2. Caldwell’s theory recognises technological impacts on wealth flows, such as the changing economic value of education. While there is unique pleasure derived from having children, pleasure will be derived from fewer children as their economic value decreases or the cost of educating them increase. 11 September 2018 UNZA- Population Studies Dept 65 Q&A 11 September 2018 UNZA- Population Studies Dept 66 THANK YOU 11 September 2018 UNZA- Population Studies Dept 67 Determinants and Consequences of high Fertility 11 September 2018 UNZA- Population Studies Dept 68 Determinants of fertility INDIRECT FACTORS- These include social, cultural, environmental and economic factors Education Health Cultural/social factors Occupation/income 11 September 2018 UNZA- Population Studies Dept 69 Determinants of fertility DIRECT FACTORS 11 September 2018 Age at marriage Age at Menarche Contraception Abortion UNZA- Population Studies Dept 70 Consequences of High Fertility • Demographic – High Population Growth – Young Population – High dependency – High Maternal and underfive Mortality 11 September 2018 UNZA- Population Studies Dept 71 Consequences of High Fertility Economic – Low GDP per capita – Food Insecurity – Environmental Degradation – High Consumption – Food Shortage – Inflation 11 September 2018 UNZA- Population Studies Dept 72 Consequences of High Fertility Environmental Consequences – Deforestation – Soil Erosion – Depletion of soil fertility – Climate change 11 September 2018 UNZA- Population Studies Dept 73 Consequences of High Fertility Social Consequences – Crime – Unplanned Urban Settlements – Poor water and sanitation – Housing Deficit – Limited Education Infrastructure – Lack of access to quality health care 11 September 2018 UNZA- Population Studies Dept 74 Fertility regulation and Family Planning 11 September 2018 UNZA- Population Studies Dept 75 What is fertility regulation • Fertility regulation refers to the control of the number of children one should have through child spacing or postponing or limiting births. • This is done usually through family planning which can be done as conscious efforts by individuals and or couples to regulate the number of children through various contraceptive methods. These include natural and non-natural methods. METHODS OF FERTILITY REGULATION • NATURAL METHODS – WITHDRAWAL ( COITUS INTERUPTUS) – BODY TEMPERATURE – CERVICAL MUCUS METHOD/ CALENDER METHOD – BREAST FEEDING – ABSTINENCE • NON- NATURAL METHODS METHODS OF FERTILITY REGULATION MECHANICAL CHEMICAL BARRIER SURGICAL FEMALE STERILIZATION MALE STERILISATION OTHER METHODS NATURAL METHODS Natural methods will include abstinence, rhythm method or calendar method based on the observation of pattern of menstruation to give an idea of when ovulation takes place, on average on the 14th day. During this period conception is highly likely to occur. Cervical mucus method/ovulation method/ Calender method Women are expected to experience vaginal discharge, after menstruation, the discharge may be cloudy during peak ovulation periods so fertility is likely to take place at least 3 days before the mucus becomes slippery. Body temperature About 2-3 days before ovulation the body temperature will rise by 0.2 or 0.5 degrees and is maintained throughout during ovulation. During this period a women is expected to ovulate thus risk of conception is high. NON –NATURAL METHODS • These prevent sperm from meeting the ova. An example is the contraceptive pill or birth control pill. The pill releases hormones that prevent ovulation. Intra –uterine Device (IUD) Condom - Male Condom - Female Cervical Cap Vaginal Ring Diaphram Spermicidal Injectables Oral contraceptive The famous “PILL IMPLANTS - NORPLANT Emergency contraceptives – Morning after pill SURGICAL METHODS • Male sterilization • Female sterilisation Vasectomy Tubal ligation Key to note • • • • • Correct and consistent use Wide choice Available , affordable and accessible Informed choice HIV transmission prevention Q&A What are the other methods? THANK YOU 11 September 2018 UNZA- Population Studies Dept 97 FAMILY PLANNING POLICIES AND PROGRAMMES 11 September 2018 UNZA- Population Studies Dept 98 Family Planning 2020 The fundamental right of individuals to decide, freely and for themselves, whether, when, and how many children to have is central to the vision and goals of Family Planning 2020 (FP2020). The international community has agreed that the right to health includes the right to control one’s health and body, including sexual and reproductive freedom. 11 September 2018 UNZA- Population Studies Dept 99 FP 2020 By securing and fulfilling the rights of an additional 120 million women and girls to access family planning information and services by the year 2020, FP2020 efforts will result in ; • Fewer unintended pregnancies, • Fewer women and girls dying in pregnancy and childbirth, including from unsafe abortions, and fewer infant deaths. 11 September 2018 UNZA- Population Studies Dept 100 FP2020 • Ten Dimensions of FP 1. Agency and autonomy-Individuals have the ability to decide freely the number and spacing of their children. To exercise this ability, individuals must be able to choose a contraceptive method voluntarily, free of discrimination, coercion or violence. 2. Availability- Health care facilities, trained providers and contraceptive methods are available to ensure that individuals can exercise full choice from a full range of contraceptive methods (barrier, short-acting, long-acting reversible, permanent and emergency contraception). Availability of services includes follow-up and removal 11 September 2018 UNZA- Population Studies Dept 101 services for implants and IUDs Ten Dimension of FP 3. Accessibility- Health care facilities, trained providers and contraceptive methods are accessible—without discrimination, and without physical, economic, sociocultural or informational barriers. 4. Acceptability Health care facilities, trained providers and contraceptive methods are respectful of medical ethics and individual preferences, are sensitive to gender and life-cycle requirements and respect confidentiality. 11 September 2018 UNZA- Population Studies Dept 102 Ten Dimension of FP 5. Quality- Individuals have access to contraceptive services and information of good quality which are scientifically and medically appropriate. Quality of care is a multifaceted element that includes but is not limited to: a full choice of quality contraceptive methods; clear and medically accurate information, including the risks and benefits of a range of methods; presence of equipped and technically competent providers; and client-provider interactions that respect informed choice, privacy and confidentiality, and client preferences and needs 11 September 2018 UNZA- Population Studies Dept 103 Ten Dimension of FP 6. Empowerment-Individuals are empowered as principle actors and agents to make decisions about their reproductive lives, and can execute these decisions through access to contraceptive information, services and supplies. 11 September 2018 UNZA- Population Studies Dept 104 Ten Dimension of FP 7. Equity and non-discrimination -Individuals have the ability to access quality, comprehensive contraceptive information and services free from discrimination, coercion and violence. Quality, accessibility, and availability of contraceptive information and services should not vary by nonmedically indicated characteristics, such as age, geographic location, language, ethnicity, disability, HIV status, sexual orientation, wealth, marital or other status 11 September 2018 UNZA- Population Studies Dept 105 Ten Dimension of FP 8.Informed choice -Individuals have the ability to access accurate, clear and readily understood information about a variety of contraceptive methods and their use. To exercise full, free and informed decision-making, individuals can choose among a full range of safe, effective and available contraceptive methods (barrier, short-acting, long-acting reversible, permanent and emergency contraception) 106 11 September 2018 UNZA- Population Studies Dept Ten Dimension of FP 9.Transparency and accountability- Individuals can readily access meaningful information on the design, provision, implementation and evaluation of contraceptive services, programs and policies, including government data. Individuals are entitled to seek remedies and redress at the individual and systems level when duty-bearers have not fulfilled their obligations regarding contraceptive information, services and supplies. 107 11 September 2018 UNZA- Population Studies Dept Ten Dimension of FP 10.Voice and participation- Individuals, particularly beneficiaries, have the ability to meaningfully participate in the design, provision, implementation, and evaluation of contraceptive services, programs and policies. 108 11 September 2018 UNZA- Population Studies Dept Zambia’s Commitment 11 September 2018 UNZA- Population Studies Dept 109 Zambia Population Policy FERTILITY OBJECTIVES • Reduce High levels of fertility particularly adolescent fertility • Improve the sexual and reproductive health including family planning so as to encourage manageable family size 11 September 2018 UNZA- Population Studies Dept 110 Zambia Population Policy • POLICY TARGETS • To attain and maintain a population growth rate that is at least three times lower than the rate of economic growth • To reduce the proportion of adolescents having children from 25 percent by half by 2030 • To reduce maternal deaths of 729 per 100000 live births by more than two thirds by 2030 11 September 2018 UNZA- Population Studies Dept 111 Zambia Population Policy • To reduce the under five mortality of 162 per 1000 by more than two-thirds by 2030 • To make sexual and reproductive health services including Family planning information available, accessible and affordable to at least 50 percent of all those in the reproductive age group and in need of such services by 2030. 11 September 2018 UNZA- Population Studies Dept 112 Family Planning policies and Programmes 11 September 2018 UNZA- Population Studies Dept 113 Family Planning policies and Programmes • FAMILY PLANNING POLICIES AND PROGRAMMES SHOULD BE INFORMED BY EVIDENCE/RESEARCH • PRIORITY AREAS ARE INFORMED BY DATA AND ARE CONTEXT SPECIFIC 11 September 2018 UNZA- Population Studies Dept 114 Scaling Up Family Planning ( SUFP) Barriers to Family Planning Supply Side- A number of supply-side barriers limit family planning provision, particularly LARC 1. Shortage of trained staff and lack of needed equipment, commodities and consumables (MCDMCH, 2013). 2. Stock outs due to inadequate transport of supplies and delays in submitting requisition orders 11 September 2018 UNZA- Population Studies Dept 115 Scaling Up Family Planning ( SUFP) • Limited method mix in the public sector constrains contraceptive choice, and price remains a barrier in the private sector. • Distance is often a barrier for those living in rural areas, especially during the rainy season, when travel time to a health facility averages two hours. 11 September 2018 UNZA- Population Studies Dept 116 Scaling Up Family Planning ( SURP) • Scheduling of services can also serve as a barrier to FP access, especially when the hours are limited and services are not coordinated with the provision of other related services that women attend. Lastly, inadequate infrastructure may limit a woman’s • Privacy and comfort in accessing FP services. 11 September 2018 UNZA- Population Studies Dept 117 Scaling Up Family Planning ( SUFP) • Demand-side barriers to adoption of FP also inhibit use, • Including actual or feared partner/spousal disapproval • Social stigma, myths, rumors and misinformation about FP generally and specific methods 11 September 2018 UNZA- Population Studies Dept 118 Scaling Up Family Planning ( SUFP) • Fear of side effects, and health concerns. Some methods, notably LARC other than injectables, suffer from negative • myths and false beliefs. For example, some believe that implants and IUDs can travel around the body and • become lodged in the brain, the heart or a growing fetus, or that fertility will not return after LARC removal 11 September 2018 UNZA- Population Studies Dept 119 Scaling Up Family Planning ( SUFP) • Some health providers, too, reportedly share these negative beliefs and then act to deter client’s interest in contraceptive use. 11 September 2018 UNZA- Population Studies Dept 120 Priority issues to address 1. Fertility rate still remains high despite relatively high use of modern contraceptives 2.Zambian women have more children than they would like to have 3. Over a fifth of Zambian women have unmet need for family planning 11 September 2018 UNZA- Population Studies Dept 121 Priority issues to address 11 September 2018 UNZA- Population Studies Dept 122 Priority issues to address 4. Many Zambian women are not using contraceptives that match their fertility preference 11 September 2018 UNZA- Population Studies Dept 123 Policy actions to accelerate fertility decline in Zambia A. Increase use of effective family planning methods within an integrated Reproductive and Maternal Health programme 1.The programme should intensify itscommunication and educational programmes, and develop innovative outreach services to promote the benefits of the use of family planning and the resultant planned family sizes. 11 September 2018 UNZA- Population Studies Dept 124 Policy actions to accelerate fertility decline in Zambia 2. Improve the quality of, and equitable access to services, with focus on promoting increased family planning method choice including longacting and permanent methods, and ensure reproductive health commodity security. 3. Improve the quality and equitable access to high impact maternal health services such as skilled attendance at birth and emergency obstetric care. 11 September 2018 UNZA- Population Studies Dept 125 Policy actions to accelerate fertility decline in Zambia 4. Reinforce political will and increase government investment in family planning, building on the FP2020 commitments, which includes doubling of budgetary allocation for family planning interventions as articulated in the 8 year FP scale-up plan (2013 to 2020). 11 September 2018 UNZA- Population Studies Dept 126 Policy actions to accelerate fertility decline in Zambia 5. Encourage and reinforce male involvement in Reproductive Health programmes, including family planning. 6. Encourage and reinforce public-private partnerships in delivery of Reproductive Health programmes, including family planning services. 11 September 2018 UNZA- Population Studies Dept 127 Policy actions to accelerate fertility decline in Zambia 7. Strengthen government institutions responsible for coordinating Reproductive Health programmes, including family planning programmes. 8. Pay particular attention to marginalised population groups and underserved provinces, districts and constituencies. 11 September 2018 UNZA- Population Studies Dept 128 Policy actions to accelerate fertility decline in Zambia B. Improve Child Survival 1. Intensify on-going interventions to further reduce child mortality , including immunisation campaigns, integrated management of childhood illnesses (IMCI), use of insecticide treated nets, prevention of mother-to-child transmission of HIV, deliveries by skilled birth attendants, and improving child nutrition including Vitamin A supplementation. 11 September 2018 UNZA- Population Studies Dept 129 Policy actions to accelerate fertility decline in Zambia 2. Pay particular attention to interventions addressing neonatal mortality and stunting. 3. Target vulnerable population groups and underserved provinces, districts and constituencies. 11 September 2018 UNZA- Population Studies Dept 130 Policy actions to accelerate fertility decline in Zambia • C. Keeping Girls in School for Longer 1. Address the cultural, social and economic barriers that increase school dropout, including financial barriers to accessing quality education. 2. Enforce laws on legal minimum age of marriage – Constitution/Marriage Act - and sensitise communities to value education of girls with its benefits at household, community and national levels. 11 September 2018 UNZA- Population Studies Dept 131 Policy actions to accelerate fertility decline in Zambia 11 September 2018 UNZA- Population Studies Dept 132 Policy actions to accelerate fertility decline in Zambia 3. Address the stigma, misconceptions and financial constraints that prevent girls from taking advantage of the school re-entry policy after giving birth. 4. Scale-up comprehensive sexuality education and referral services for in and out of school adolescents, including removing the age consent barrier to accessing contraception and other reproductive health services. 11 September 2018 UNZA- Population Studies Dept 133 Strategies from the NHSP 2017-2021 11 September 2018 UNZA- Population Studies Dept 134 THANK YOU 11 September 2018 UNZA- Population Studies Dept 135