William Pickles Lecture. Primary and specialty care interfaces: the imperative of disease continuity.
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Continuity of Patient Care↗
Biomedical subjects
Barbara Starfield
Publications and source records attributed to Barbara Starfield.
Prevalence, expenditures, and complications of multiple chronic conditions in the elderly.
BACKGROUND: The prevalence, health care expenditures, and hospitalization experiences are important considerations among elderly populations with multiple chronic conditions. METHODS: A cross-sectional analysis was conducted on a nationally random sample of 1 217 103 Medicare fee-for-service beneficiaries aged 65 and older living in the United States and enrolled in both Medicare Part A and Medicare Part B during 1999. Multiple logistic regression was used to analyze the influence of age, sex, and number of types of chronic conditions on the risk of incurring inpatient hospitalizations for ambulatory care sensitive conditions and hospitalizations with preventable complications among aged Medicare beneficiaries. RESULTS: In 1999, 82% of aged Medicare beneficiaries had 1 or more chronic conditions, and 65% had multiple chronic conditions. Inpatient admissions for ambulatory care sensitive conditions and hospitalizations with preventable complications increased with the number of chronic conditions. For example, Medicare beneficiaries with 4 or more chronic conditions were 99 times more likely than a beneficiary without any chronic conditions to have an admission for an ambulatory care sensitive condition (95% confidence interval, 86-113). Per capita Medicare expenditures increased with the number of types of chronic conditions from $211 among beneficiaries without a chronic condition to $13 973 among beneficiaries with 4 or more types of chronic conditions. CONCLUSIONS: The risk of an avoidable inpatient admission or a preventable complication in an inpatient setting increases dramatically with the number of chronic conditions. Better primary care, especially coordination of care, could reduce avoidable hospitalization rates, especially for individuals with multiple chronic conditions.
Age Factors↗
Annotated Bibliography on Equity in Health, 1980-2001.
The purposes of this bibliography are to present an overview of the published literature on equity in health and to summarize key articles relevant to the mission of the International Society for Equity in Health (ISEqH). The intent is to show the directions being taken in health equity research including theories, methods, and interventions to understand the genesis of inequities and their remediation. Therefore, the bibliography includes articles from the health equity literature that focus on mechanisms by which inequities in health arise and approaches to reducing them where and when they exist.
Journal Article↗
Policy relevant determinants of health: an international perspective.
BACKGROUND: International comparisons can provide clues to understanding some of the important policy-related determinants of health, including those related to the provision of health care services. An earlier study indicated that the strength of the primary care infrastructure of a health services system might be related to overall costs of health services. The purpose of the current research was to determine the robustness of the findings in the light of the passage of 5-10 years, the addition of two more countries, and the findings of other research on the possible importance of other determinants of country health levels. METHODS: Thirteen industrialized countries, all with populations of at least 5 million, were characterized by the relative strength of their primary care infrastructure, the degree of national income inequality, and a major manifestation of a behavioral determinant of health that is amenable to policy intervention (smoking), using international data sets and national informants. Health system and primary care practice characteristics were judged according to pre-set criteria. Major indicators of health were used as dependent variables, as were health care costs. FINDINGS: The stronger the primary care, the lower the costs. Countries with very weak primary care infrastructures have poorer performance on major aspects of health. Although countries that are intermediate in the strength of their primary care generally have levels of health at least as good as those with high levels of primary care, this is not the case in early life, when the impact of strong primary care is greatest. A subset of characteristics (equitable distribution of resources, publicly accountable universal financial coverage, low cost sharing, comprehensive services, and family-oriented services) distinguishes countries with overall good health from those with poor health at all ages. Neither income inequality nor smoking status accurately identified those countries with either consistently high or consistently poor performance on the health indicators. INTERPRETATION: A certain level of health care expenditures may be required to achieve overall good health levels, even in the presence of strong primary care infrastructures. Very low costs may interfere with achievement of good health, particularly at older ages, although very high levels of costs may signal excessive and potentially health-compromising care. Five policy-relevant characteristics appear to be related to better population health levels. There is no consistent relationship between income inequality, smoking, and health levels as measured by various indicators of health in different age groups.
Adolescent↗
Primary care and genetic services. Health care in evolution.
The demand for services for predicting, diagnosing, and managing genetic diseases or diseases with a genetic component is likely to increase faster than the availability of services from medical geneticists and genetic counselors. Health care systems may also impose limitations on referrals to these specialists. If genetic problems are not to be missed and excessive referrals are to be avoided, non-geneticist practitioners will have to recognize when genetic problems should be considered, and initiate diagnosis and even management. Primary-care-centred systems offer the greatest potential for maximizing overall cost-effectiveness, by reducing the demand for specialty services not essential for improving health. But primary-care-centred systems may pose a risk of underdetection and undermanagement of genetic problems if practitioners are not actively supported by information and other educational networks. Several models for dealing with these challenges are presented, including algorithms that aid in recognizing genetic problems.
Delivery of Health Care↗
Primary care, self-rated health, and reductions in social disparities in health.
OBJECTIVE: To examine the extent to which good primary-care experience attenuates the adverse association of income inequality with self-reported health. DATA SOURCES: Data for the study were drawn from the Robert Wood Johnson Foundation sponsored 1996-1997 Community Tracking Study (CTS) Household Survey and state indicators of income inequality and primary care. STUDY DESIGN: Cross-sectional, mixed-level analysis on individuals with a primary-care physician as their usual source of care. The analyses were weighted to represent the civilian noninstitutionalized population of the continental United States. DATA COLLECTION/EXTRACTION METHODS: Principal component factor analysis was used to explore the stricture of the primary-care indicators and examine their construct validity. Income inequality for the state in which the community is located was measured by the Gini coefficient, calculated using income distribution data from the 1996 current population survey. Stratified analyses compared proportion of individuals reporting had health and feeling depressed with those with good and bad primary-care experiences for each of the four income-inequality strata. A set of logistic regressions were performed to examine the relation between primary-care experience, income inequality, and self-rated health. PRINCIPAL FINDINGS: Good primary-care experience, in particular enhanced accessibility and continuity, was associated with better self-reported health both generally and mentally. Good primary-care experience was able to reduce the adverse association of income inequality with general health although not with mental health, and was especially beneficial in areas with highest income inequality. Socioeconomic status attenuated, but did not eliminate, the effect of primary-care experience on health. In conclusion, good primary-care experience is associated not only with improved self-rated overall and mental health but also with reductions in disparities between more- and less-disadvantaged communities in ratings of overall health.
Adult↗
Equity and health: a perspective on nonrandom distribution of health in the population.
The nonrandom distribution of ill health across and within populations is cause for ethical concern. Systematic differences in health across populations and subpopulations are a result of interactions among many types of influences operating on broad ecological, community, and individual levels. The operation of this web of influences potentiates health disadvantage for some populations and subpopulations and, conversely, enhances resilience to health threats in more advantaged populations. Understanding the genesis of inequity requires an appreciation of the dynamics of these interactions. Thus, research directed at elucidating the causes of inequity in order to facilitate policy changes requires the adoption of conceptual frameworks to guide more efficient and effective future scientific inquiry concerning this worldwide imperative.
Americas↗
Family physicians' referral decisions: results from the ASPN referral study.
OBJECTIVE: To examine family physicians' referral decisions, which we conceptualized as having 2 phases: whether to refer followed by to whom to refer. STUDY DESIGN: Prospective cohort study. POPULATION: All visits (N = 34,519) and new referrals (N = 2534) occurring during 15 consecutive business days in the offices of 141 family physicians in 87 practices located in 31 states. OUTCOMES MEASURED: Rates of referral, reasons for referral, practitioners referred to, health problems prompting referral, and reasons for selecting particular specialists. RESULTS: Approximately 1 in 20 (5.1%) office visits led to referral. Although 68% of referrals were made by physicians during office visits, 18% were made by physicians during telephone conversations with patients, 11% by office staff with input from the physician, and 3% by staff without physician input. Physicians endorsed a mean of 1.8 reasons for making a referral. They sought specialists' advice on either diagnosis or treatment for 52.1% of referrals and asked the specialist to direct medical management for 25.9% and surgical management for 37.8%. Patient request was one reason for 13.6% of referrals. Fifty conditions accounted for 76% of all referrals. Surgical specialists were sent the largest share of referrals (45.4%), followed by medical specialists (31.0%), nonphysician clinicians (12.1%), obstetrician-gynecologists (4.6%), mental health professionals (4.2%), other practitioners (2.0%), and generalists (0.8%). Physicians recommended a specific practitioner to the patient for most (86.2%) referrals. Personal knowledge of the specialist was the most important reason for selecting a specific specialist. CONCLUSIONS: Referrals are commonly made during encounters other than office visits, such as telephone conversations or staff-patient interactions, in primary care practice. Training in the referral process should ensure that family physicians obtain the skills necessary to expand their scope of practice, when appropriate; determine when and why a patient should be referred; and identify the type of practitioner to whom the patient should be sent.
Decision Making↗
Primary care in the United States and its precarious future.
Primary care has not secured a firm place within the US health services system. Since primary care lacks a strong research base, is not institutionalized in medical education or in policy-making and is marginalized in both proposed and actual reforms, it has not developed into a central component of the health care infrastructure. We discuss recent efforts that promised modest improvements, including the Clinton health care reform proposals and subsequent federal and state actions, in the role of primary care within the health services system. We also assess the likely fate of primary care given the accelerated growth of managed care and market competition, the dissatisfaction of large segments of the population with managed care and misperceptions of managed care as synonymous with primary care. We highlight how managed care fails to achieve the cardinal functions of primary care and summarize initiatives that, at a minimum, would be required to secure a stronger position for primary care in the future.
Journal Article↗
[Spanish version of the Child Health and Illness Profile-Child Edition Parent Report Form [CHIP-CE/PRF]].
OBJECTIVES: To analyze the reliability and validity of the domains of the Child Health and Illness Profile-Child Edition Parent Report Form (CHIP-CE/PRF) included in the Barcelona Health Survey conducted in 2000 and to obtain population-based reference values. METHODS: Data were obtained from proxy-respondent interviews of children aged 5-14 years old (n = 836) participating in the Barcelona Health Survey 2000. The 4 subdomains of the parent version of the CHIP-PRF included in the health survey were: satisfaction with health, and physical discomfort, emotional discomfort, and limitation of activities of the discomfort domain. Internal consistency was assessed using Cronbach's alpha coefficients. An exploratory factor analysis was carried out and analysis of covariance was performed to assess the construct validity of the subdomains. RESULTS: In all the subdomains assessed, Cronbach's alpha was above 0.70 (range, 0.76-0.98). In the factorial analysis, almost all the items (31/35) presented the highest load in their corresponding subdomain. Most of the expected mean differences among groups were confirmed. Girls aged 10-14 years old scored the lowest, both in satisfaction with health (48.93; 95% confidence interval [CI 95%], 47.40-50.47) and in discomfort (48.87; CI 95%, 47.51-50.22). No differences were found according to the social class of the head of the family. CONCLUSIONS: The present study provides a useful measure of perceived health status in a child health survey.
Adolescent↗
Primary care physician specialty referral decision making: patient, physician, and health care system determinants.
PURPOSE: To examine the effects of patient, physician, and health care system characteristics on primary care physicians' (PCPs') specialty referral decision making. METHODS: Physicians (n=142) and their practices (n=83) located in 30 states completed background questionnaires and collected survey data for all patient visits (n=34,069) made during 15 consecutive workdays. The authors modeled the occurrence of any specialty referral, which occurred during 5.2% of visits, as a function of patient, physician, and health care system structural characteristics. A subanalysis was done to examine determinants of referrals made for discretionary indications (17% of referrals), operationalized as problems commonly managed by PCPs, high level of diagnostic and therapeutic certainty, low urgency for specialist involvement, and cognitive assistance only requested from the specialist. RESULTS: Patient characteristics had the largest effects in the any-referral model. Other variables associated with an increased risk of referral included PCPs with less tolerance of uncertainty, larger practice size, health plans with gate-keeping arrangements, and practices with high levels of managed care. The risk of a referral being made for discretionary reasons was increased by capitated primary care payment, internal medicine specialty of the PCP, high concentration of specialists in the community, and higher levels of managed care in the practice. CONCLUSIONS: PCPs' referral decisions are influenced by a complex mix of patient, physician, and health care system structural characteristics. Factors associated with more discretionary referrals may lower PCPs' thresholds for referring problems that could have been managed in their entirety within primary care settings.
Adult↗
Specialty referrals made during telephone conversations with parents: a study from the pediatric research in office settings network.
OBJECTIVES: To characterize variation in pediatricians' telephone referral practices, to identify differences in the types of referrals made during telephone versus office visit encounters, and to examine the impact of referring by telephone on coordination and outcomes of the referral as assessed by physicians. METHODS: We conducted a prospective study of a consecutive sample of referrals (N = 1856) made from the offices of 142 pediatricians in a national practice-based research network. During 20 consecutive practice-days, physicians completed questionnaires about patients referred during regular business hours. They used office records 3 months later to complete questionnaires about referral outcomes. RESULTS: Pediatricians made 1 telephone referral every 5 practice-days, which constituted 27.5% of all referrals they made during office hours. Pediatricians who saw more patients per day, saw more patients in gatekeeping health plans, and referred more during office visits made more telephone referrals than their counterparts. Compared with specialty referrals made during office visits, those occurring during telephone encounters were more frequently at the request of parents or because of insurance administrative guidelines. Office visit referrals were more often made for diagnostic evaluation or a surgical procedure. Referrals made during telephone conversations were less well coordinated: office staff or referring physicians scheduled fewer specialty appointments and were less likely to send information to specialists. Three months after referrals were made, specialist feedback and referring physician satisfaction with specialty care were comparable between the two groups. CONCLUSIONS: Specialty referrals made during telephone conversations with patients are a regular occurrence in pediatric practice. Changes in the health system that lead to greater demands on primary care physician productivity or more patients in gatekeeping health plans will likely increase the number of referrals made during telephone conversations with parents. Pediatricians are less likely to coordinate telephone referrals than office visit referrals. Pediatricians are frequently unaware whether or not referrals are completed.
Female↗
Social class gradients and health in childhood.
OBJECTIVE: To determine if there are social class gradients in health in children aged 6 to 11 years. METHODS: Self and parent reports of health of children in 5 sites across the United States were assessed using the Child Health and Illness Profile-Child Edition. Distribution of scores in 4 domains: satisfaction (with health); comfort; resilience; and risk avoidance were used to create profiles of health. Social class was defined as a composite of parental education and work participation. RESULTS: Social class gradients were found for all but the satisfaction domain and for most subdomains in the parent version; the most notable gradient was in the risk avoidance domain, with better health the higher the social class. Apparent gradients did not reach statistical significance in the child reports. Children from a higher social class were more likely to be in excellent/average health and less likely to be in poor health profiles than were lower class children. CONCLUSIONS: The findings generally mirror those from a prior study of adolescents, using the same conceptual framework for health and the same measure of social class, and are consistent with a cumulative effect for most aspects of health, and with a critical-period effect for risky behaviors.
Child↗
The Medical Home Index applies primarily to children with special health care needs.
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Child↗
Equity, social determinants, and children's rights: coming to grips with the challenges.
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Adolescent↗
Comorbidity: implications for the importance of primary care in 'case' management.
BACKGROUND: Although comorbidity is very common in the population, little is known about the types of health service that are used by people with comorbid conditions. METHODS: Data from claims on the nonelderly were classified by diagnosis and extent of comorbidity, using a case-mix measure known as the Johns Hopkins Adjusted Clinical Groups, to study variation in extent of comorbidity and resource utilization. Visits of patients (adults and children) with 11 conditions were classified as to whether they were to primary care physicians or to other specialists, and whether they involved the chosen condition or other conditions. RESULTS: Comorbidity varied within each diagnosis; resource use depended on the degree of comorbidity rather than the diagnosis. When stratified by degree of comorbidity, the number of visits for comorbid conditions exceeded the number of visits for the index condition in almost all comorbidity groups and for visits to both primary care physicians and to specialists. The number of visits to primary care physicians for both the index condition and for comorbid conditions almost invariably exceeded the number of visits to specialists. These patterns differed only for uncommon conditions in which specialists played a greater role in the care of the condition, but not for comorbid conditions. CONCLUSIONS: In view of the high degree of comorbidity, even in a nonelderly population, single-disease management does not appear promising as a strategy to care for patients. In contrast, the burden is on primary care physicians to provide the majority of care, not only for the target condition but for other conditions. Thus, management in the context of ongoing primary care and oriented more toward patients' overall health care needs appears to be a more promising strategy than care oriented to individual diseases. New paradigms of care that acknowledge actual patterns of comorbidities as well as the need for close coordination between generalists and specialists require support.
Adolescent↗
Comorbidity and the use of primary care and specialist care in the elderly.
PURPOSE: The impact of comorbidity on use of primary care and specialty services is poorly understood. The purpose of this study was to determine the relationship between morbidity burden, comorbid conditions, and use of primary care and specialist services METHODS: The study population was a 5% random sample of Medicare beneficiaries, taken from 1999 Medicare files. We analyzed the number of ambulatory face-to-face patient visits to primary care physicians and specialists for each diagnosis, with each one first considered as the "main" one and then as a comorbid diagnosis to another. Each patient was categorized by extent of total morbidity burden using the Johns Hopkins Adjusted Clinical Group case-mix system. RESULTS: Higher morbidity burden was associated with more visits to specialists, but not to primary care physicians. Patients with most diagnoses had more visits, both to primary care and specialist physicians for comorbid diagnoses than for the main diagnosis itself. Although patients, especially those with high morbidity burdens, generally made more visits to specialists than to primary care physicians, this finding was not always the case. For patients with 66 diagnoses, primary care visits for those diagnoses exceeded specialist visits in all morbidity burden groups; for patients with 87 diagnoses, specialty visits exceeded primary care visits in all morbidity burden groups. CONCLUSION: In the elderly, a high morbidity burden leads to higher use of specialist physicians, but not primary care physicians, even for patients with common diagnoses not generally considered to require specialist care. This finding calls for a better understanding of the relative roles of generalists and specialists in the US health services system.
Aged↗
Threads and yarns: weaving the tapestry of comorbidity.
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Comorbidity↗