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Testing for statistical discrimination in health care.

OBJECTIVE: To examine the extent to which doctors' rational reactions to clinical uncertainty ("statistical discrimination") can explain racial differences in the diagnosis of depression, hypertension, and diabetes. DATA SOURCES: Main data are from the Medical Outcomes Study (MOS), a 1986 study conducted by RAND Corporation in three U.S. cities. The study compares the processes and outcomes of care for patients in different health care systems. Complementary data from National Health And Examination Survey III (NHANES III) and National Comorbidity Survey (NCS) are also used. STUDY DESIGN: Across three systems of care (staff health maintenance organizations, multispecialty groups, and solo practices), the MOS selected 523 health care clinicians. A representative cross-section (21,480) of patients was then chosen from a pool of adults who visited any of these providers during a 9-day period. DATA COLLECTION: We analyzed a subsample of the MOS data consisting of patients of white family physicians or internists (11,664 patients). We obtain variables reflecting patients' health conditions and severity, demographics, socioeconomic status, and insurance from the patients' screener interview (administered by MOS staff prior to the patient's encounter with the clinician). We used the reports made by the clinician after the visit to construct indicators of doctors' diagnoses. We obtained prevalence rates from NHANES III and NCS. FINDINGS: We find evidence consistent with statistical discrimination for diagnoses of hypertension, diabetes, and depression. In particular, we find that if clinicians act like Bayesians, plausible priors held by the physician about the prevalence of the disease across racial groups could account for racial differences in the diagnosis of hypertension and diabetes. In the case of depression, we find evidence that race affects decisions through differences in communication patterns between doctors and white and minority patients. CONCLUSIONS: To contend effectively with inequities in health care, it is necessary to understand the mechanisms behind the problem. Discrimination stemming from prejudice is of a very different character than discrimination stemming from the application of rules of conditional probability as a response to clinical uncertainty. While in the former case, doctors are not acting in the best interests of their patients, in the latter, they are doing the best they can, given the information available. If miscommunication is the culprit, then efforts should be aimed at reducing disparities in the ways in which doctors communicate with patients.

Adult↗

From adversary to partner: have quality improvement organizations made the transition?

OBJECTIVE: To describe the perceived impact of the Centers for Medicare and Medicaid Services Quality Improvement Organizations (QIOs) on quality of care for patients hospitalized with acute myocardial infarction, in the context of new efforts to work more collaboratively with hospitals in the pursuit of quality improvement. DATA SOURCE: Primary data collected from a national random sample of 105 hospital quality management directors interviewed between January and July 2002. STUDY DESIGN: We interviewed quality management directors concerning their interactions with the QIO interventions, the helpfulness of QIO interventions and the degree to which they helped or hindered their hospital quality efforts, and their recommendations for improving QIO effectiveness. PRINCIPLE FINDINGS: More than 90% of hospitals reported that their QIO had initiated specific interventions, the most common being the provision of educational materials, benchmark data, and hospital performance data. Many respondents (60%) rated most QIO interventions as helpful or very helpful, although only one-quarter of respondents believed quality of care would have been worse without the QIO interventions. To increase QIO efficacy, respondents recommended that QIOs appeal more directly to senior administration, target physicians (not just hospital employees), and enhance the perceived validity and timeliness of data used in quality indicators. CONCLUSIONS: Our study demonstrates that the QIOs have overcome, to some degree, the previously adversarial and punitive roles of Peer Review Organizations with hospitals. The generally positive view among most hospital quality improvement directors concerning the QIO interventions suggests that QIOs are potentially poised to take a leading role in promoting quality of care. However, the full potential of QIOs will likely not be realized until QIOs are able to engender greater engagement from senior hospital administration and physicians.

Attitude of Health Personnel↗

Welfare reform and health insurance of immigrants.

OBJECTIVE: To investigate the effect of the Personal Responsibility and Work Opportunity Reconciliation Act (PRWORA) on the health insurance coverage of foreign- and U.S.-born families headed by low-educated women. DATA SOURCE: Secondary data from the March series of the Current Population Surveys for 1994-2001. STUDY DESIGN: Multivariate regression methods and a pre- and post-test with comparison group research design (difference-in-differences) are used to estimate the effect of welfare reform on the health insurance coverage of low-educated, foreign- and U.S.-born unmarried women and their children. Heterogeneous responses by states to create substitute Temporary Aid to Needy Families or Medicaid programs for newly arrived immigrants are used to investigate whether the estimated effect of PRWORA on newly arrived immigrants is related to the actual provisions of the law, or the result of fears engendered by the law. PRINCIPAL FINDINGS: PRWORA increased the proportion of uninsured among low-educated, foreign-born, unmarried women by 9.9-10.7 percentage points. In contrast, the effect of PRWORA on the health insurance coverage of similar U.S.-born women is negligible. PRWORA also increased the proportion of uninsured among foreign-born children living with low-educated, single mothers by 13.5 percentage points. Again, the policy had little effect on the health insurance coverage of the children of U.S.-born, low-educated single mothers. There is some evidence that the fear and uncertainty engendered by the law had an effect on immigrant health insurance coverage. CONCLUSIONS: This research demonstrates that PRWORA adversely affected the health insurance of low-educated, unmarried, immigrant women and their children. In the case of unmarried women, it may be partly because the jobs that they obtained in response to PRWORA were less likely to provide health insurance. The research also suggests that PRWORA may have engendered fear among immigrants and dampened their enrollment in safety net programs.

Adolescent↗

A matter of classes: stratifying health care populations to produce better estimates of inpatient costs.

OBJECTIVE: To stratify traditional risk-adjustment models by health severity classes in a way that is empirically based, is accessible to policy makers, and improves predictions of inpatient costs. DATA SOURCES: Secondary data created from the administrative claims from all 829,356 children aged 21 years and under enrolled in Georgia Medicaid in 1999. STUDY DESIGN: A finite mixture model was used to assign child Medicaid patients to health severity classes. These class assignments were then used to stratify both portions of a traditional two-part risk-adjustment model predicting inpatient Medicaid expenditures. Traditional model results were compared with the stratified model using actuarial statistics. PRINCIPAL FINDINGS: The finite mixture model identified four classes of children: a majority healthy class and three illness classes with increasing levels of severity. Stratifying the traditional two-part risk-adjustment model by health severity classes improved its R(2) from 0.17 to 0.25. The majority of additional predictive power resulted from stratifying the second part of the two-part model. Further, the preference for the stratified model was unaffected by months of patient enrollment time. CONCLUSIONS: Stratifying health care populations based on measures of health severity is a powerful method to achieve more accurate cost predictions. Insurers who ignore the predictive advances of sample stratification in setting risk-adjusted premiums may create strong financial incentives for adverse selection. Finite mixture models provide an empirically based, replicable methodology for stratification that should be accessible to most health care financial managers.

Adolescent↗

Institutional variability in a minimal risk, population-based study: recognizing policy barriers to health services research.

OBJECTIVE: To describe (1) the institutional variability in study approval and willingness to obtain federal assurance documents for a federally supported, minimal risk health services research project conducted during the implementation of the Privacy Rule and federalwide assurances, and (2) the potential impact of such policy on selection of research subjects and generalizability of study results. DATA SOURCES: Primary data collection from 2001 to 2004. STUDY DESIGN: We provide a descriptive analysis of a prospective, observational, out-of-hospital study. STUDY SETTING: Twenty-seven pediatric receiving hospitals were approached for participation in a study validating a decision rule to identify seriously injured children involved in motor vehicle crashes in Los Angeles County. Two federal research policies, the Privacy Rule and the requirement for federalwide assurances, were implemented during the project. DATA COLLECTION: All 27 hospitals were sent an identical research protocol requesting approval to review charts of children transported to their facility. The research protocol included strict confidentiality protections, was noninterventional, did not alter the standard of care at the scene or at the hospital, and met requirements for waivers of both informed consent and the Health Insurance Portability and Accountability Act. Because the project was federally supported, all participating hospitals were required to have a federalwide assurance. The hospitals receiving the research protocol were the unit of analysis and outcomes included: approval of the research protocol, total number of days to study approval, and successfully obtaining a federalwide assurance. PRINCIPLE FINDINGS: Overall, 6 of 27 (22 percent) hospitals refused to participate in the study, all of which were community hospitals. The median time from submitting an application to study approval was 118 days (interquartile range 34-254, range 12-960 days) and time to study approval differed when hospitals were categorized by type and the presence of an institutional review board (p=.053). No institutional review resulted in a change in the basic study protocol, although one hospital required paramedic consent. Following intensive efforts to secure federalwide assurances, 12 of 27 hospitals (44 percent) possessed the necessary assurance to conduct the study. If all patients transported to hospitals that failed to obtain such an assurance were omitted, the sample size would have been reduced by 62 percent and would have excluded all children transported to community hospitals. CONCLUSIONS: There is substantial institutional variability in approval of a minimal risk observational study and in willingness to obtain a federalwide assurance, particularly among community hospitals. Federal research policy involving patient privacy and institutional assurances may be contributing to this variability, which can adversely affect selection of research subjects, disrupt population-based study design, and threaten the generalizability of study results.

Academic Medical Centers↗

Development and testing of a short form of the patient activation measure.

OBJECTIVE: The Patient Activation Measure (PAM) is a 22-item measure that assesses patient knowledge, skill, and confidence for self-management. The measure was developed using Rasch analyses and is an interval level, unidimensional, Guttman-like measure. The current analysis is aimed at reducing the number of items in the measure while maintaining adequate precision. STUDY METHODS: We relied on an iterative use of Rasch analysis to identify items that could be eliminated without loss of significant precision and reliability. With each item deletion, the item scale locations were recalibrated and the person reliability evaluated to check if and how much of a decline in precision of measurement resulted from the deletion of the item. DATA SOURCES: The data used in the analysis were the same data used in the development of the original 22-item measure. These data were collected in 2003 via a telephone survey of 1,515 randomly selected adults. Principal Findings. The analysis yielded a 13-item measure that has psychometric properties similar to the original 22-item version. The scores for the 13-item measure range in value from 38.6 to 53.0 (on a theoretical 0-100 point scale). The range of values is essentially unchanged from the original 22-item version. Subgroup analysis suggests that there is a slight loss of precision with some subgroups. CONCLUSIONS: The results of the analysis indicate that the shortened 13-item version is both reliable and valid.

Aged↗

How adults' access to outpatient physician services relates to the local supply of primary care physicians in the rural southeast.

OBJECTIVE: To examine how access to outpatient medical care varies with local primary care physician densities across primary care service areas (PCSAs) in the rural Southeast, for adults as a whole and separately for the elderly and poor. DATA SOURCES: Access data from a 2002 to 2003 telephone survey of 4,311 adults living in 298 PCSAs within 150 rural counties in eight Southeastern states were linked geographically with physician practice location data from the American Medical and American Osteopathic Associations and population data from the U.S. Census. STUDY DESIGN: In a cross-sectional study design, we used a series of logistic regression models to assess how 26 measures of various aspects of access to outpatient physician services varied for subjects arranged into five groups based on the population-per-physician ratios of the PCSAs where they lived. PRINCIPAL FINDINGS: Among adults as a whole, more individuals reported traveling over 30 minutes for outpatient care in PCSAs with more than 3,500 people per physician than in PCSAs with fewer than 1,500 people per physician (39.1 versus 18.5 percent, p<.001) and more reported travel difficulties. Otherwise, PCSA density of primary care physicians was unrelated to reported barriers to care, unrelated to people's satisfaction with care, and unrelated to indicators of people's use of services. Use rates of six recommended preventive health services varied in no consistent direction with physician densities. Among the elderly, only the proportion traveling over 30 minutes for care was greater in areas with lowest physician densities. Among subjects covered under Medicaid or uninsured, lower local physician densities were associated with longer travel time, difficulties with travel and reaching one's physician by phone, and two areas of dissatisfaction with care. CONCLUSIONS: For adults as a whole in the rural South and for the elderly there, low local primary care physician densities are associated with travel inconvenience but not convincingly with other aspects of access to outpatient care. Access for those insured under Medicaid and the uninsured, however, is in more ways sensitive to local physician densities.

Adolescent↗

Quality improvement implementation and hospital performance on quality indicators.

OBJECTIVE: To examine the association between the scope of quality improvement (QI) implementation in hospitals and hospital performance on selected indicators of clinical quality. DATA SOURCES: Secondary data from 1997 mailed survey of hospital QI practices, Medicare Inpatient Database, American Hospital Association's Annual Survey of Hospitals, the Bureau of Health Professions' Area Resource File, and two proprietary data sets compiled by Solucient Inc. containing data on managed care penetration and hospital financial performance. STUDY DESIGN: Cross-sectional study of 1,784 community hospitals to assess relationship between QI implementation approach and six hospital-level quality indicators. DATA COLLECTION/ABSTRACTION METHODS: Two-stage instrumental variables estimation in which predicted values (instruments) of four QI scope variables and control (exogenous) variables used to estimate hospital-level quality indicators. PRINCIPAL FINDINGS: Involvement by multiple hospital units in QI effort is associated with worse values on hospital-level quality indicators. Percentage of hospital staff and percentage of senior managers participating in formally organized QI teams are associated with better values on quality indicators. Percentage of physicians participating in QI teams is not associated with better values on the hospital-level quality indicators studied. CONCLUSIONS: Results supported the proposition that the scope of QI implementation in hospitals is significantly associated with hospital-level quality indicators. However, the direction of the association varied across different measures of QI implementation scope.

Cross-Sectional Studies↗

Variation in hospital length of stay: do physicians adapt their length of stay decisions to what is usual in the hospital where they work?

OBJECTIVE: To test the hypothesis that physicians who work in different hospitals adapt their length of stay decisions to what is usual in the hospital under consideration. DATA SOURCES: Secondary data were used, originating from the Statewide Planning and Research Cooperative System (SPARCS). SPARCS is a major management tool for assisting hospitals, agencies, and health care organizations with decision making in relation to financial planning and monitoring of inpatient and ambulatory surgery services and costs in New York state. STUDY DESIGN: Data on length of stay for surgical interventions and medical conditions (a total of seven diagnosis-related groups [DRGs]) were studied, to find out whether there is more variation between than within hospitals. Data (1999, 2000, and 2001) from all hospitals in New York state were used. The study examined physicians practicing in one hospital and physicians practicing in more than one hospital, to determine whether average length of stay differs according to the hospital of practice. Multilevel models were used to determine variation between and within hospitals. A t-test was used to test whether length of stay for patients of each multihospital physician differed from the average length of stay in each of the two hospitals. PRINCIPAL FINDINGS: There is significantly (p<.05) more variation between than within hospitals in most of the study populations. Physicians working in two hospitals had patient lengths of stay comparable with the usual practice in the hospital where the procedure was performed. The proportion of physicians working in one hospital did not have a consistent effect for all DRGs on the variation within hospitals. CONCLUSION: Physicians adapt to their colleagues or to the managerial demands of the particular hospital in which they work. The hospital and broader work environment should be taken into account when developing effective interventions to reduce variation in medical practice.

Decision Making↗

Using public reports of patient satisfaction for hospital quality improvement.

OBJECTIVE: To explore the impact of statewide public reporting of hospital patient satisfaction on hospital quality improvement (QI), using Rhode Island (RI) as a case example. DATA SOURCE: Primary data collected through semi-structured interviews between September 2002 and January 2003. STUDY DESIGN: The design is a retrospective study of hospital executives at all 11 general and two specialty hospitals in RI. Respondents were asked about hospital QI activities at several points throughout the public reporting process, as well as about hospital structure and processes to accomplish QI. Qualitative analysis of the interview data proceeded through an iterative process to identify themes and categories in the data. PRINCIPAL FINDINGS: Data from the standardized statewide patient satisfaction survey process were used by hospitals to identify and target new QI initiatives, evaluate performance, and monitor progress. While all hospitals fully participated in the public reporting process, they varied in the stage of development of their QI activities and adoption of the statewide standardized survey for ongoing monitoring of their QI programs. Most hospitals placed responsibility for QI within each department, with results reported to top management, who were perceived as giving strong support for QI. The external environment facilitated QI efforts. CONCLUSION: Public reporting of comparative data on patient views can enhance and reinforce QI efforts in hospitals. The participation of key stakeholders facilitated successful implementation of statewide public reporting. This experience in RI offers lessons for other states or regions as they move to public reporting of hospital quality data.

Hospital Administrators↗

Access to health care services for the disabled elderly.

OBJECTIVE: To determine whether difficulty walking and the strategies persons use to compensate for this deficit influenced downstream Medicare expenditures. DATA SOURCE: Secondary data analysis of Medicare claims data (1999-2000) for age-eligible Medicare beneficiaries (N=4,997) responding to the community portion of the 1999 National Long Term Care Survey (NLTCS). STUDY DESIGN: Longitudinal cohort study. Walking difficulty and compensatory strategy were measured at the 1999 NLTCS, and used to predict health care use as measured in Medicare claims data from the survey date through year-end 2000. DATA EXTRACTION: Respondents to the 1999 community NLTCS with complete information on key explanatory variables (walking difficulty and compensatory strategy) were linked with Medicare claims to define outcome variables (health care use and cost). PRINCIPAL FINDINGS: Persons who reported it was very difficult to walk had more downstream home health visits (1.1/month, p<.001), but fewer outpatient physician visits (-0.16/month, p<.001) after controlling for overall disease burden. Those using a compensatory strategy for walking also had increased home health visits/month (0.55 for equipment, 1.0 for personal assistance, p<.001 for both) but did not have significantly reduced outpatient visits. Persons reporting difficulty walking had increased downstream Medicare costs ranging from 163 US dollars to 222 US dollars/month (p<.001) depending upon how difficult walking was. Less than half of the persons who used equipment to adapt to walking difficulty had their difficulty fully compensated by the use of equipment. Persons using equipment that fully compensated their difficulty used around 300 US dollars/month less in Medicare-financed costs compared with those with residual difficulty. CONCLUSIONS: Difficulty walking and use of compensatory strategies are correlated with the use of Medicare-financed services. The potential impact on the Medicare program is large, given how common such limitations are among the elderly.

Activities of Daily Living↗

Assessing the public health impact of state health benefit mandates.

OBJECTIVE: To document the process used in assessing the public health impact of proposed health insurance benefit mandates in California as part of the California Health Benefits Review Program (CHBRP) to serve as a guide for other states interested in incorporating a public health impact analysis into their state mandated benefit review process. BACKGROUND: As of September 2004, of the 26 states that require reviews of mandated benefit legislation, 25 required an assessment of the cost impact, 12 required an assessment of the medical efficacy, and only 6 had language requiring an assessment of the public health impact. METHODOLOGY: This paper presents the methodology used to calculate the overall public health impact of each mandate. This includes a discussion of data sources, required data elements, and the methods used to quantify the impact of a mandated health insurance benefit on: overall public health, on gender and racial disparities in health outcomes, on premature death, and on the economic loss associated with disease. In addition we identify the limitations of this type of analysis. CONCLUSIONS: The approach that California has adopted to review proposed health benefit mandates represents a leap forward in its consideration of the impact of such mandates on the health of the population. the approach is unique in its specific requirements to address public health impacts as well as the attempt to quantify these impacts by the CHBRP team. The requirement to make available this information to the state government has the potential, ultimately, to increase the availability of health insurance products in California that will maximize public health.

California↗

Are physician reimbursement strategies associated with processes of care and patient satisfaction for patients with diabetes in managed care?

OBJECTIVE: To examine associations between physician reimbursement incentives and diabetes care processes and explore potential confounding with physician organizational model. DATA SOURCES: Primary data collected during 2000-2001 in 10 managed care plans. STUDY DESIGN: Multilevel logistic regressions were used to estimate associations between reimbursement incentives and process measures, including the receipt of dilated eye exams, foot exams, influenza immunizations, advice to take aspirin, and assessments of glycemic control, proteinuria, and lipid profile. Reimbursement measures included the proportions of compensation received from salary, capitation, fee-for-service (FFS), and performance-based payment; the performance-based payment criteria used; and interactions of these criteria with the strength of the performance-based payment incentive. DATA COLLECTION: Patient, provider group, and health plan surveys and medical record reviews were conducted for 6,194 patients with diabetes. PRINCIPAL FINDINGS: Without controlling for physician organizational model, care processes were better when physician compensation was based primarily on direct salary rather than FFS reimbursement (four of seven processes were better, with relative risks ranging from 1.13 to 1.23) or capitation (six were better, with relative risks from 1.06 to 1.36); and when quality/satisfaction scores influenced physician compensation (three were better, with relative risks from 1.17 to 1.26). However, these associations were substantially confounded by organizational model. CONCLUSIONS: Physician reimbursement strategies are associated with diabetes care processes, although their independent contributions are difficult to assess, due to high correlation with physician organizational model. Regardless of causality, a group's use of quality/satisfaction scores to determine physician compensation may indicate delivery of high-quality diabetes care.

Diabetes Mellitus↗

How much risk pooling is there in the individual insurance market?

OBJECTIVE: To examine how much pooling of risks occurs among potential purchasers in the individual market, how much pooling occurs among those who purchase coverage, and whether there is greater pooling among longer-term enrollees. DATA SOURCES: The data are administrative records for enrollees in individual insurance plans in California in 2001, and from a survey of Californians enrolled in the individual insurance market and the uninsured. STUDY DESIGN: Logit models were estimated for 5 health outcome measures to compare the insured and uninsured after adjusting for other factors that affect insurance status and health. Multivariate models were also estimated to explore the relationship between health and three measures of pooling in the market: plan type, pricing tier, and the actuarially adjusted premium paid by the enrollee. PRINCIPAL FINDINGS: Those who purchase individual health insurance are in better health than those who remain uninsured. On the other hand, a large share of people with health problems does obtain individual insurance. The distribution of subscribers across plan type and pricing tier varies with their health status. Those in poor health are less likely to purchase low benefit plans. There is less separation of risks for those who become sick after enrollment based on the measure of pricing tier. The distribution of subscribers across plan type for those who have health problems at enrollment and those who become sick differs, but so does the distribution of those who become sick and those who remain healthy. CONCLUSIONS: Despite small differences among the healthy and sick, our results support the conclusion that there is considerable risk pooling in the individual market. To some extent, this pooling occurs because underwriting happens at the time people enroll and there is greater pooling among those who become sick than those who enroll sick. Our results however suggest that health savings accounts may further fragment the market.

California↗

Comparing United States versus international medical school graduate physicians who serve African- American and White elderly.

OBJECTIVE: To examine the relationship that international medical school graduates (IMGs) in comparison with United States medical school graduates (USMGs) have on health care-seeking behavior and satisfaction with medical care among African-American and white elderly. DATA SOURCES: Secondary data analysis of the 1986-1998 Piedmont Health Survey of the Elderly, Established Populations for the Epidemiological Study of the Elderly, a racially oversampled urban and rural cohort of elders in five North Carolina counties. STUDY DESIGN: Primary focus of analyses examined the impact of the combination of elder race and physician graduate status across time using a linear model for repeated measures analyses and chi2 tests. Separate analyses using generalized estimating equations were conducted for each measure of elder characteristic and health behavior. The analytic cohort included 341 physicians and 3,250 elders (65 years old and older) in 1986; by 1998, 211 physicians and 1,222 elders. DATA COLLECTION/EXTRACTION METHODS: Trained personnel collected baseline measures on 4,162 elders (about 80 percent responses) through 90-minute in-home interviews. PRINCIPAL FINDINGS: Over time, IMGs treated more African-American elders, and those who had less education, lower incomes, less insurance, were in poorer health, and who lived in rural areas. White elders with IMGs delayed care more than those with USMGs. Both races indicated being unsure about where to go for medical care. White elders with IMGs were less satisfied than those with USMGs. Both races had perceptions of IMGs that relate to issues of communication, cultural competency, ageism, and unnecessary expenses. CONCLUSION: IMGs do provide necessary and needed access to medical care for underserved African Americans and rural populations. However, it is unclear whether concerns regarding cultural competency, communication and the quality of care undermine the contribution IMGs make to these populations.

Black or African American↗

Effect of dysthymia on receipt of HAART by minority HIV-infected women.

BACKGROUND: Receipt of highly active antiretroviral therapy (HAART) differs by gender and racial/ethnic group and may reflect an effect of mood disorders. OBJECTIVE: We examined the effects of dysthymia and major depression on HAART use by 6 groups defined by gender and race/ethnicity (white, black, Hispanic). MAIN OUTCOME MEASURE: Self-reported HAART use in the past 6 months. DATA SOURCE: Interview data from the HIV Cost and Services Utilization Study (HCSUS). Independent variables measured in or before the first half of 1997, and HAART use measured in the second half of 1997. ANALYSES: Multivariate logistic regression of depression and dysthymia on HAART use by 6 patient groups. PARTICIPANTS: One thousand nine hundred and eighty-two HIV-infected adults in HIV care in 1996 and with a CD4 count <500 in 1997. RESULTS: Highly active antiretroviral therapy receipt was the highest for white men (68.6%) and the lowest for Hispanic women (52.7%) and black women (55.4%). Dysthymia was more prevalent in women (Hispanic, 46%; black, 27%; white, 31%) than men (Hispanic, 23%; black, 18%; white, 15%). The prevalence of major depression was greater in whites (women, 35%; men, 31%) than minorities (women, 26%; men, 21%). Compared with white men without dysthymia, the adjusted odds ratios (AORs) of HAART were significantly lower for black women (0.50 [95% confidence interval [95% CI] 0.29 to 0.87]) and Hispanic women (0.45 [95% CI 0.25, 0.79]). Among patients with depression and no dysthymia, minority women had HAART use (AOR=1.28 [95% CI 0.48 to 3.43]) similar to white men. LIMITATIONS: Self-report data from the early era of HAART use; causation cannot be proven; mental health diagnoses may not meet full DSM IV criteria. CONCLUSIONS: Dysthymia is highly prevalent in minority women and associated with a 50% reduction in the odds of receiving HAART. This underrecognized condition may contribute more than depression to the "gender disparity" in HAART use.

Adult↗

Bone mineral density in postmenopausal breast cancer survivors.

PURPOSE: The overall purpose of this longitudinal 18-month study was to test the feasibility and effectiveness of a multicomponent intervention for prevention and treatment of osteoporosis. The purpose of this article is to describe the baseline bone mineral density (BMD) findings for 30 postmenopausal women and to compare these BMD findings to time since menopause, body mass index, and tamoxifen use. DATA SOURCES: Baseline data of BMD findings for 30 postmenopausal women, who have had a variety of treatments including surgery, adjuvant chemotherapy and or tamoxifen, and are enrolled in the 18-month longitudinal study. A demographic questionnaire and a three day dietary record were used to collect baseline data. CONCLUSIONS: Eighty percent of the women with breast cancer history had abnormal BMDs at baseline (t-scores below -1.00 SD). Thinner women showed a greater risk for accelerated trabecular bone loss at the spine and hip. IMPLICATIONS FOR PRACTICE: These findings suggest the need for early BMD assessments and for aggressive health promotion intervention strategies that include a multifaceted protocol of drug therapy for bone remodeling, 1500 mg of daily calcium, 400 IU vitamin D and a strength weight training program that is implemented immediately following chemotherapy treatment and menopause in this high risk population of women.

Adult↗

Developing an economic IQ in primary care.

PURPOSE: To describe elements of an economic intelligence quotient (IQ) that can be used to enhance the nurse practitioner's (NP) fiscal viability in a primary care setting. DATA SOURCES: Anecdotal data from providers and administrators; clinical experiences of the authors; scientific and government publications and guidelines. CONCLUSIONS: In the United States, managed care cost-containment initiatives have led to competition among physicians and NPs for patients and jobs. An understanding of the economic base of a practice is essential to fiscal viability in this market. PRACTICE IMPLICATIONS: When turf and job competition are the norm, it is essential that the NP develop an economic IQ. Knowledge of coding, billing, reimbursement, and documentation are critical to identifying the NP's value to the practice and promoting job retention. The challenge is for the NP to give high-quality, cost-effective, and safe patient care and to be a productive provider.

Humans↗