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Source: Starfield B. Primary Care: Balancing Health Needs, Services, and
Technology. New York: Oxford University Press, 1998.
Ten aspects of the structure of health services are depicted in this table. These ten are equivalent to the six “building blocks” identified by the World Health
Organization for health services systems: services delivery (which includes the range of services available, accessibility, and management and amenities within the health services sector); health workforce (personnel and organization); medical products, vaccines, and technologies (analogous to facilities and equipment); financing; health information systems, and leadership and governance. Differences in any of these structures can lead to differences in the processes (performance) of health services systems and therefore are of legitimate concern for quality of care.
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Source: Campbell SM, Hann M, Hacker J, Burns C, Oliver D, Thapar A et al. Identifying predictors of high quality care in English general practice: observational study. BMJ 2001; 323(7316):784-787.
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Source: Starfield B. Primary Care: Balancing Health Needs, Services, and Technology. New York: Oxford University Press, 1998.
Certain structures and behaviors (processes) of health systems can have an impact on how well people are provided with indicated care. In primary care, particularly important structures of services are the range of services available (which should be broad enough to deal with all health concerns except those too uncommon to be provided completely in a primary care setting); the adequacy of information systems to facilitate person-focused care over time; accessibility (to facilitate timely receipt of needed care); and a definition of the population covered (to achieve person-focused care over time). Critical behavioral elements are adequate recognition of people’s health-related problems and needs (because dealing adequately with people’s problems is key to appropriate diagnosis and management), and actual utilization of services when needed.
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Source: Starfield B. Primary Care: Balancing Health Needs, Services, and Technology. New York: Oxford University Press, 1998.
From a clinical vantage, technical quality of care concerns adequacy of recognition of patients’ problems and needs, the formulation of a diagnosis and care management plan (treatment), followed by reassessment to assure that problems are resolved as expected and that adverse events are minimized. The vast majority of clinical assessments of quality focus ONLY on the processes of diagnosis and management. There are no guidelines for adequacy of recognition of patients’ problems, and quality assessments routinely neglect this critical feature of care. Except for routine lab tests for a limited number of chronic conditions, there are no guidelines or systematic assessments of follow-up to assure improvement or detect side effects that are experienced by patients.
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Source: Starfield B, Shi L, Grover A, Macinko J. The effects of specialist supply on populations' health: assessing the evidence. Health Aff
2005;W5:97-107.
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Source: Docteur E, Berenson RA. How Does the Quality of U.S. Health Care
Compare Internationally? ( http://www.rwjf.org/files/research/qualityquickstrikeaug2009.pdf, accessed
September 30, 2009). Robert Wood Johnson Foundation, 2009. Based on
Guyatt GH, Devereaux PJ, Lexchin J, et al. A systematic review of studies comparing health outcomes in Canada and the United States. Open Med
2007;1:E27-36.
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Sources:
Rawlins M. De testimonio: on the evidence for decisions about the use of therapeutic interventions. Lancet 2008;372:2152-61.
Dowd JB, Aiello AE. Did national folic acid fortification reduce socioeconomic and racial disparities in folate status in the US? Int J Epidemiol
2008;37:1059-66.
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Source: Mitka M. Guideline supports long-term use of medication to lower prostate cancer risk. JAMA 2009;301:1753-4.
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Source: Rawlins M. De testimonio: on the evidence for decisions about the use of therapeutic interventions. Lancet 2008;372:2152-61.
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Source: Oxman AD, Glasziou P, Williams JW Jr. What should clinicians do when faced with conflicting recommendations? BMJ 2008;337:a2530.
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Source: Kendrick T, Hegarty K, Glasziou P. Interpreting research findings to guide treatment in practice. BMJ 2009;337:43-6.
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Source: Shackelton RJ, Marceau LD, Link CL, McKinlay JB. The intended and unintended consequences of clinical guidelines. J Eval Clin Pract
2009;15:1035-42.
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Based on
Boyd CM, Darer J, Boult C, Fried LP, Boult L, Wu AW. Clinical practice guidelines and quality of care for older patients with multiple comorbid diseases: implications for pay for performance. JAMA 2005; 294(6):716-724.
Garber AM. Evidence-based guidelines as a foundation for performance incentives. Health Aff 2005; 24(1):174-179.
Kravitz RL, Duan N, Braslow J. Evidence-based medicine, heterogeneity of treatment effects, and the trouble with averages. Milbank Q 2004; 82(4):
661-687.
Heath I, Hippisley-Cox J, Smeeth L. Measuring quality through performance:
Measuring performance and missing the point? BMJ 2007; 335(7629):
1075-1076.
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Sources:
Starfield B, Steinwachs D, Morris I, Bause G, Siebert S, Westin C. Patientdoctor agreement about problems needing follow-up visit. JAMA 1979; 242(4):
344-346.
Starfield B, Wray C, Hess K, Gross R, Birk PS, D’Lugoff BC. The influence of patient-practitioner agreement on outcome of care. Am J Public Health 1981;
71(2):127-31.
Starfield B. Is patient-centered care the same as person-focused care?
Permanente J 2011 forthcoming.
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Sources:
Hartz A, James PA. A systematic review of studies comparing myocardial infarction mortality for generalists and specialists: lessons for research and health policy. J Am Board Fam Med 2006; 19(3):291-302.
Chin MH, Zhang JX, Merrell K. Specialty differences in the care of older patients with diabetes. Med Care 2000; 38(2):131-140.
Donohoe MT. Comparing generalist and specialty care: discrepancies, deficiencies, and excesses. Arch Intern Med 1998; 158(15):1596-1608.
Bertakis KD, Callahan EJ, Helms LJ, Azari R, Robbins JA, Miller J. Physician practice styles and patient outcomes: differences between family practice and general internal medicine. Med Care 1998; 36(6):879-891.
Harrold LR, Field TS, Gurwitz JH. Knowledge, patterns of care, and outcomes of care for generalists and specialists. J Gen Intern Med 1999; 14(8):499-511.
Smetana GW, Landon BE, Bindman AB et al. A comparison of outcomes resulting from generalist vs specialist care for a single discrete medical condition: a systematic review and methodologic critique. Arch Intern Med
2007; 167(1):10-20.
Other studies reported in: Starfield B, Shi L, Macinko J. Contribution of primary care to health systems and health. Milbank Q 2005; 83(3):457-502.
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Source: based on Coye MJ, Haselkorn A, DeMello S. Remote patient management: technology-enabled innovation and evolving business models for chronic disease care. Health Aff 2009;28:126-35.
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Source: Thorpe KE, Florence CS, Howard DH, Joski P. The rising prevalence of treated disease: effects on private health insurance spending. Health Aff
2005; W5: 317-25 (http://content.healthaffairs.org/cgi/reprint/hlthaff.w5.317v1).
With progressively decreasing thresholds for diagnosis of disease, and possibly with real increases in some diseases, the prevalence of diseases under treatment is increasing rapidly throughout the world. This chart shows the very large increases in prevalence of particular diseases in the US in the fifteen years between 1987 and 2002. As this information comes from populations with private insurance, the estimates of prevalence undoubtedly understate the true prevalence of disease in the entire population, as people without insurance have more illness. In five of the 10 conditions, the prevalence has more than doubled in the fifteen years; in the case of hyperlipidemia, the prevalence has increased over four-fold. Thus, at the same time that mortality rates have been increasing, the treated prevalence of major illnesses has been increasing.
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This graph, concerning people of age 65 and over in the US, shows that rates of hospitalization for causes that should be preventable by good primary care, rates of complications during hospitalization, and costs of care increase rapidly with increases in comorbidity (as measured by the number of types of chronic condition per person). That is, comorbidity is associated with higher costs, higher hospitalization for preventable conditions, and more adverse effects.
Source: Wolff JL, Starfield B, Anderson G. Prevalence, expenditures, and complications of multiple chronic conditions in the elderly. Arch
Intern Med 2002; 162(20):2269-2276.
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Sources:
Mangione CM, Gerzoff RB, Williamson DF, et al. The association between quality of care and the intensity of diabetes disease management programs.
Ann Intern Med 2006;145:107-16.
Tsai AC, Morton SC, Mangione CM, Keeler EB. A meta-analysis of interventions to improve care for chronic illnesses. Am J Manag Care
2005;11:478-88.
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Source: Gress S, Baan CA, Calnan M, et al. Co-ordination and management of chronic conditions in Europe: the role of primary care--position paper of the European Forum for
Primary Care. Qual Prim Care 2009;17:75-86.
The Chronic Care Model (CCM) is, theoretically, an approach to managing health problems that are chronic in nature in that they last indefinitely without possibility of cure.
It is based on a literature review of the demonstrated benefits of each of six components of care: awareness of community resources and policy; health care organizations; self management support; delivery system design; clinical information systems; and decision support (information and guidelines). Every one of these components is a structural feature of health systems and services; none are explicitly directed at changing the way in which personal health care is delivered. As might be expected, improvement of health depends on how these structures are put to use in improving services provided, but these behaviors (processes) are not identified. Although proposed for implementation as a package, the CCM has never been tested as a tool to change important processes of care, nor has it been tested as an entity with all six components. Moreover, it has almost always been tested with only ONE chronic disease, usually diabetes. This table shows how unevenly it has been adopted as a model in eight European areas. Some areas
(Catalonia in Spain; England; Wales) are focusing on all six components but in the other areas, only certain components are targeted. (As noted above, its intended application has, so far, been only for selected chronic conditions.) In some countries (Belgium and
Austria), the CCM has received no attention. As with all health system interventions, it cannot be assumed that the benefits shown in prior studies in selected people in selected places are generalizable to other places, populations, and times, and there is little if any knowledge about the benefits of the CCM when applied in unselected practices over a wide range of chronic conditions.
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Source: Schmittdiel JA, Shortell SM, Rundall TG, Bodenheimer T, Selby JV.
Effect of primary health care orientation on chronic care management. Ann
Fam Med 2006;4:117-23.
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Sources:
Coleman K, Austin BT, Brach C, Wagner EH. Evidence on the Chronic Care
Model in the new millennium. Health Aff 2009;28:75-85.
Dentzer S. Prologue: reorganizing chronic care delivery. Health Aff
2009;28:63.
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Source: based on Coye MJ, Haselkorn A, DeMello S. Remote patient management: technology-enabled innovation and evolving business models for chronic disease care. Health Aff 2009;28:126-35.
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Source: Starfield B. Primary Care: Balancing Health Needs, Services, and
Technology. New York: Oxford University Press, 1998.
In addition to the elements important for primary care, this diagram highlights other features that are important to primary health care. That is, they concern elements of health systems that are necessary for designing practices for primary care: personnel, facilities and management, financing, and governance. Decisions about the number and distribution of personnel and facilities are critical in achieving equity in the distribution of resources for primary care. Financing considerations are important in controlling financial access to care, including low or no copayments for primary care services. Little is known about the specific ways in which governance particularly facilitates the achievement of primary care characteristics, but it clearly is important as studies have shown that the political characteristics of governments are related to health levels in different countries .
The diagram also highlights the elements of “outcome” that are appropriate for evaluating the contributions of health services interventions. They range from changes in life expectancy to changes in activity or disability, symptoms resulting from health services interventions, disease rates and severity, achievement of life goals, satisfaction with one’s health, and resilience and vulnerability to influence on illness.
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The characteristics of the chronic care model are quite different from those of primary care. Most are structural element of health services, i.e., teams, information systems, formal knowledge base – all of which might be characteristic of most specialist practices. Only one characteristic – patient participation – is a behavioral feature that also is not limited to primary care.
Structural changes in health systems will not result in improved health or lower costs unless they are associated with behavioral features that alter the processes of delivering or receiving care by practitioners and patients.
Source: Starfield B. Primary Care: Balancing Health Needs, Services, and
Technology. New York: Oxford University Press, 1998.
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Source: Crosson JC, Ohman-Strickland PA, Campbell S, et al. A comparison of chronic illness care quality in US and UK family medicine practices prior to pay-for-performance initiatives. Fam Pract 2009; epub 09-11-09.
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Sources:
Gene-Badia J, Ascaso C, Escaramis-Babiano G, Catalan-Ramos A, Pujol-
Ribera E, Sampietro-Colom L. Population and primary health-care team characteristics explain the quality of the service. Health Policy
2008;86:335-44.
Gene-Badia J, Ascaso C, Escaramis-Babiano G, et al. Personalised care, access, quality and team coordination are the main dimensions of family medicine output. Fam Pract 2007;24:41-7.
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Source: Jones G, Steketee RW, Black RE, Bhutta ZA, Morris SS. How many child deaths can we prevent this year? Lancet 2003; 362(9377):
65-71.
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Source: Jones G, Steketee RW, Black RE, Bhutta ZA, Morris SS. How many child deaths can we prevent this year? Lancet 2003; 362(9377):
65-71.
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