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Biomedical subjects

Alan M Zaslavsky

Publications and source records attributed to Alan M Zaslavsky.

At least 19 recordsLinked to original sources

Using hierarchical models to attribute sources of variation in consumer assessments of health care.

The Consumer Assessments of Healthcare Providers and Systems (CAHPS) Medicare Advantage (MA-CAHPS) survey has provided extensive and uniform data for 8 years on the quality of Medicare health plans in the United States. The complex structure of the data makes hierarchical modelling an appropriate analytic tool. After describing the CAHPS survey and the analytic methods used in standard reports, we review research using two multilevel modelling strategies, each addressing a different aspect of the structure of the CAHPS data. The first fits a 2-level Fay-Herriott-type model to data aggregated by plan to estimate plan-level correlations among summary scores on different items. By forming separate measures for healthier and sicker members of each plan, we were able to determine which items measured distinct dimensions of quality depending on health status. The second analysis evaluated the relative contributions of geography and organizational units to the various quality measures, and the amount of variation over time in each. Geographical variation predominated for aspects of member experiences that are not typically under the direct control of plans, and the geographical effects were very stable over time. Each of the two analyses can be regarded as a simplification for particular objectives of a larger underlying model. Further methodological development is needed to better characterize variation in quality.

Data Interpretation, Statistical↗

Relationship between quality of care and racial disparities in Medicare health plans.

CONTEXT: Overall quality of care and racial disparities in quality are important and related problems in health care, but their relationship has not been well studied. In the Medicare managed care program, broad improvements in quality have been accompanied by reduced racial gaps in processes of care, but substantial disparities in outcomes have persisted. OBJECTIVES: To assess variations among Medicare health plans in overall quality and racial disparity in 4 Health Plan Employer and Data Information Set (HEDIS) outcome measures, to determine whether high-performing plans exhibit smaller racial disparities, and to identify plans with high quality and low disparity. DESIGN, SETTING, AND PATIENTS: We assessed the relationship between quality and racial disparity using multilevel multivariable regression models. The study sample included 431,573 individual-level observations in 151 Medicare health plans from 2002 to 2004. MAIN OUTCOME MEASURES: Hemoglobin A(1c) of less than 9.5% or less than 9.0% for enrollees with diabetes; low-density lipoprotein cholesterol level of less than 130 mg/dL for enrollees with diabetes or after a coronary event; and blood pressure of less than 140/90 mm Hg for enrollees with hypertension. RESULTS: Clinical performance on HEDIS outcome measures was 6.8% to 14.4% lower for black enrollees than for white enrollees (P<.001 for all). For each measure, more than 70% of this disparity was due to different outcomes for black and white individuals enrolled in the same health plan rather than selection of black enrollees into lower-performing plans. Health plans varied substantially in both overall quality and racial disparity on each of the 4 outcome measures. Adjusted correlations between overall quality and racial disparity were small and not statistically significant, ranging from 0.01 (blood pressure control) to -0.21 (cholesterol control in diabetes). Only 1 health plan achieved both high quality and low disparity on more than 1 measure. CONCLUSIONS: In Medicare health plans, disparities vary widely and are only weakly correlated with the overall quality of care. Therefore, plan-specific performance reports of racial disparities on outcome measures would provide useful information not currently conveyed by standard HEDIS reports.

Black or African American↗

Patient characteristics and hospital quality for colorectal cancer surgery.

OBJECTIVE: To assess associations of patient characteristics with quality-related characteristics of the hospitals where they were treated for colorectal cancer and the role of these associations in disparities in treatment quality affecting vulnerable patient groups or variations across health plans. SETTING: Population-based cancer registry in California. PARTICIPANTS: A total of 38 237 patients diagnosed with stage I-III (non-metastatic) colorectal cancer in California between 1994 and 1998. METHODS: Registry data were linked with hospital discharge abstracts, US census data, and Medicare enrollment data. The associations of patients' sociodemographic, clinical, and geographic covariates with treatment at high-volume institutions were assessed with logistic regression. The associations of patients' covariates with the risk-adjusted 30-day mortality rates of the hospitals where they received surgery were tested with linear regression. RESULTS: Patients with more advanced tumor stage or more extensive comorbidity, those of Hispanic or Asian race/ethnicity, and those from less affluent communities were less likely to undergo surgery at high-volume institutions and were treated at hospitals with higher risk-adjusted 30-day postoperative mortality rates than those who were less severely ill, white, or more affluent, respectively (all P < 0.05). Black patients also received surgery at hospitals with above-average mortality. Among patients 65 years and older, Medicare managed-care enrollees underwent surgery in higher-volume hospitals than Medicare fee-for-service enrollees, and there was substantial variation in hospital volume and adjusted hospital mortality among Medicare managed-care plans. CONCLUSION: Improving access of sicker, poorer, and minority patients to high-quality hospitals for cancer surgery may improve their outcomes. Further study of processes affecting hospital referral is warranted.

Adult↗

Variations in hospice use among cancer patients.

BACKGROUND: Previous studies have documented that hospice enrollment by terminally ill cancer patients varies substantially by patient characteristics and across broad geographic regions, but little is known about how local practice patterns and individual physicians contribute to these variations. We examined hospice use within a regional integrated health care delivery system that provides consistent insurance coverage and hospice availability for its members to evaluate the relative importance of patient characteristics, physician characteristics, individual physicians, and local health centers in explaining variations in hospice enrollment. METHODS: We examined data for 3805 Kaiser Permanente of Northern California health plan enrollees who were diagnosed with and died of lung, colorectal, breast, or prostate cancer from January 1, 1996, through June 30, 2001. We used a random-effects linear probability hierarchical model to estimate adjusted hospice enrollment rates and identify factors associated with hospice enrollment. All P values are two-sided. RESULTS: Overall, 65.4% of patients enrolled in hospice care before death. In adjusted analyses, hospice enrollment did not vary by patients' race/ethnicity or marital status (all P>.2) but varied substantially among the 11 health centers where patients were treated (standard deviation [SD] of random effect = 10.0 percentage points, corresponding to an estimated adjusted hospice enrollment rate for two-thirds of centers (2 SDs) ranging from 55% to 75%, P = .02). Hospice enrollment varied less among the 675 individual physicians (SD = 4.6 percentage points; P = .09). CONCLUSIONS: Health care within a large integrated delivery system has the potential to eliminate racial and ethnic disparities in hospice use, but substantial variation in hospice use persists among local health centers. Focused efforts to understand how patients, physicians, and hospices interact at the local level are important to ensure equal access to hospice care for all terminally ill cancer patients.

Adult↗

Understanding cancer patients' experience and outcomes: development and pilot study of the Cancer Care Outcomes Research and Surveillance patient survey.

GOALS OF WORK: The National Cancer Institute's Cancer Care Outcomes Research and Surveillance (CanCORS) Consortium is conducting a population-based study of newly diagnosed patients with lung and colorectal cancer to describe the experience of persons living with cancer and to understand which barriers present the most significant obstacles to their receipt of appropriate care. The keystone to this effort is the baseline patient survey administered approximately 4 months after diagnosis. PATIENTS AND METHODS: We developed a survey to obtain information from patients newly diagnosed with lung and colorectal cancer about their personal characteristics, decision making, experience of care, and outcomes. We conducted a pilot study to evaluate the feasibility of a lengthy and clinically detailed interview in a convenience sample of patients within 8 months of diagnosis (n=71). MAIN RESULTS: The median length of the interviews was 75 min for patients with lung cancer (range 43-130) and 82 min for patients with colorectal cancer (range 46-119). Most patients had received some form of treatment for their cancer: 66.1% had undergone surgery, 28.2% had received radiation therapy, and 54.9% were treated with chemotherapy. In addition, 26.7% reported their overall health was less than 70 on a 0-100 scale, demonstrating that patients with substantial health impairment were able to complete the survey. CONCLUSIONS: A clinically detailed survey of newly diagnosed lung and colorectal cancer patients is feasible. A modified version of this survey is being fielded by the CanCORS Consortium and should provide much needed population-based data regarding patients' experiences across the continuum of cancer care and their outcomes.

Aged↗

Cardiac procedure use following acute myocardial infarction among American Indians.

BACKGROUND: The prevalence of coronary heart disease is rising among American Indians (AIs), but there is limited evidence describing processes of care for AI with acute myocardial infarction (AMI). We compared rates of cardiac catheterization, percutaneous coronary intervention (PCI), and coronary artery bypass graft (CABG) surgery between AI and whites with AMI. METHODS: Using data from the Nationwide Inpatient Sample and the Indian Health Service National Patient Information Reporting System, we identified 2511 AI and 316,526 whites older than 30 years admitted with AMI during 1998 to 2001. Comparisons of cardiac procedure use between AI and whites were performed after adjusting for comorbid conditions and after stratifying by geographic region. RESULTS: American Indians were less likely than whites to undergo cardiac catheterization and PCI in 3 of 4 geographic regions, with the largest difference occurring in the West South Central region (OR 0.32, 95% CI 0.24 to 0.43 for catheterization; OR 0.43, 95% CI 0.31 to 0.57 for PCI). American Indians were less likely than whites to undergo CABG surgery among diabetic patients (OR 0.48, 95% CI 0.32-0.73), but not among nondiabetic patients (OR 0.90, 95% CI 0.72-1.12). There were no differences in rates of PCI and CABG surgery between AIs and whites among those receiving cardiac catheterization. CONCLUSIONS: Differences in the performance of coronary procedures are concentrated in western regions of the United States and are especially related to access to cardiac catheterization. Future studies are indicated to elucidate the mechanisms of these differences in care and their impact on clinical outcomes.

Adult↗

Profiling providers on use of adjuvant chemotherapy by combining cancer registry and medical record data.

PURPOSE: Treatment information collected by cancer registries can be used to monitor the provision of guideline-recommended chemotherapy to colorectal cancer patients. Incomplete information may bias comparisons of these rates. We developed statistical methods that combine data from a registry and physicians' records to assess hospital quality. DATA: From California Cancer Registry data, we selected all patients (n=12,594) newly diagnosed with stage III colon cancer or stage II or III rectal cancer from 428 hospitals during the years 1994 to 1998. To assess rates and predictors of underreporting of chemotherapy, we surveyed physicians treating 1449 of these patients from 98 hospitals during the years 1996 to 1997. METHODS: Using Bayesian statistical models, we imputed unobserved treatments. We studied the impact of underreporting on provider profiling by comparing rankings, estimates, and credible intervals based only on registry data to those incorporating physician survey data. RESULTS: Analyses that account for incompleteness of reporting yielded wider credible intervals for provider profiles than those that ignored such incompleteness. Among the 109 (25%) hospitals in the highest quartile of chemotherapy rates according to the registry data, 16 were not so classified when incomplete reporting was taken into account. With the more comprehensive model, 12 hospitals could be identified that ranked in the top quartile with probability>0.90. CONCLUSION: Estimates of adjusted hospital chemotherapy rates based solely on cancer registry data overstate the precision of assessments of hospital quality. Using additional information from a physician survey and applying rigorous statistical models, better inferences can be drawn about provider quality.

Adolescent↗

Relation of surgeon and hospital volume to processes and outcomes of colorectal cancer surgery.

BACKGROUND: Greater hospital volume has been associated with lower mortality after colorectal cancer surgery. The contribution of surgeon volume to processes and outcomes of care is less well understood. We assessed the relation of surgeon and hospital volume to postoperative and overall mortality, colostomy rates, and use of adjuvant radiation therapy. METHODS: From the California Cancer Registry, we studied 28,644 patients who underwent surgical resection of stage I to III colorectal cancer during 1996 to 1999 and were followed up to 6 years after surgery to assess 30-day postoperative mortality, overall long-term mortality, permanent colostomy, and use of adjuvant radiation therapy. RESULTS: Across decreasing quartiles of hospital and surgeon volume, 30-day postoperative mortality ranged from 2.7% to 4.2% (P < 0.001). Adjusting for age, stage, comorbidity, and median income among patients with colorectal cancer who survived at least 30 days, patients in the lowest quartile of surgeon volume had a higher adjusted overall mortality rate than those in the highest quartile (hazard ratio, 1.16; 95% confidence interval, 1.09-1.24), as did patients in the lowest quartile of hospital volume relative to those treated in the highest quartile (hazard ratio, 1.11; 95% confidence interval, 1.05-1.19). For rectal cancer, adjusted colostomy rates were significantly higher for low-volume surgeons, and the use of adjuvant radiation therapy was significantly lower for low-volume hospitals. CONCLUSIONS: Greater surgeon and hospital volumes were associated with improved outcomes for patients undergoing surgery for colorectal cancer. Further study of processes that led to these differences may improve the quality of colorectal cancer care.

Adolescent↗

Implementing the Institute of Medicine definition of disparities: an application to mental health care.

OBJECTIVE: In a recent report, the Institute of Medicine (IOM) defines a health service disparity between population groups to be the difference in treatment or access not justified by the differences in health status or preferences of the groups. This paper proposes an implementation of this definition, and applies it to disparities in outpatient mental health care. DATA SOURCES: Health Care for Communities (HCC) reinterviewed 9,585 respondents from the Community Tracking Study in 1997-1998, oversampling individuals with psychological distress, alcohol abuse, drug abuse, or mental health treatment. The HCC is designed to make national estimates of service use. STUDY DESIGN: Expenditures are modeled using generalized linear models with a log link for quantity and a probit model for any utilization. We adjust for group differences in health status by transforming the entire distribution of health status for minority populations to approximate the white distribution. We compare disparities according to the IOM definition to other methods commonly used to assess health services disparities. PRINCIPAL FINDINGS: Our method finds significant service disparities between whites and both blacks and Latinos. Estimated disparities from this method exceed those for competing approaches, because of the inclusion of effects of mediating factors (such as income) in the IOM approach. CONCLUSIONS: A rigorous definition of disparities is needed to monitor progress against disparities and to compare their magnitude across studies. With such a definition, disparities can be estimated by adjusting for group differences in models for expenditures and access to mental health services.

Adolescent↗

The prevalence and correlates of adult ADHD in the United States: results from the National Comorbidity Survey Replication.

OBJECTIVE: Despite growing interest in adult attention deficit hyperactivity disorder (ADHD), little is known about its prevalence or correlates. METHOD: A screen for adult ADHD was included in a probability subsample (N=3,199) of 18-44-year-old respondents in the National Comorbidity Survey Replication, a nationally representative household survey that used a lay-administered diagnostic interview to assess a wide range of DSM-IV disorders. Blinded clinical follow-up interviews of adult ADHD were carried out with 154 respondents, oversampling those with positive screen results. Multiple imputation was used to estimate prevalence and correlates of clinician-assessed adult ADHD. RESULTS: The estimated prevalence of current adult ADHD was 4.4%. Significant correlates included being male, previously married, unemployed, and non-Hispanic white. Adult ADHD was highly comorbid with many other DSM-IV disorders assessed in the survey and was associated with substantial role impairment. The majority of cases were untreated, although many individuals had obtained treatment for other comorbid mental and substance-related disorders. CONCLUSIONS: Efforts are needed to increase the detection and treatment of adult ADHD. Research is needed to determine whether effective treatment would reduce the onset, persistence, and severity of disorders that co-occur with adult ADHD.

Adolescent↗

Patients' perceptions of quality of care for colorectal cancer by race, ethnicity, and language.

PURPOSE: To identify opportunities for improving care, we evaluated patients' perceptions of the quality of their cancer care by race, ethnicity, and language. PATIENTS AND METHODS: We surveyed a population-based cohort of 1,067 patients with colorectal cancer in northern California approximately 9 months after diagnosis. Adjusting for clinical and demographic factors, mean problem scores were analyzed on a 100-point scale for six domains of care. RESULTS: Mean problem scores were highest for health information (47.8), followed by treatment information (32.3), psychosocial care (31.7), coordination of care (21.3), confidence in providers (13.1), and access to cancer care (12.7). In adjusted comparisons with white patients, African American patients reported more problems with coordination of care (difference, 9.8; P < .001), psychosocial care (difference, 7.2; P = .03), access to care (difference, 6.6; P = .03), and health information (difference, 12.5; P < .001). Asian/Pacific Islander patients reported more problems than did white patients with coordination of care (difference, 13.2; P < .001), access to care (difference, 15.5; P < .001), and health information (difference, 12.6; P = .004). Hispanic patients tended to report more problems with coordination of care (difference, 4.4; P = .06), access to care (difference, 5.8; P = .08), and treatment information (difference, 7.0; P = .06). Non-English-speaking white patients reported more problems than other white patients with coordination of care (difference, 21.9; P < .001), psychosocial care (difference, 16.1; P = .009), access to care (difference, 19.8; P = .003), and treatment information (difference, 17.8; P = .002). Non-English-speaking Hispanic patients reported more problems than other Hispanic patients with confidence in providers (difference, 16.9; P = .01). CONCLUSION: Efforts to improve patients' experiences with cancer care should address disparities by race, ethnicity, and language, particularly in coordination of care, access to care, and the provision of relevant information.

Adult↗

Trends in the quality of care and racial disparities in Medicare managed care.

BACKGROUND: Since 1997, all managed-care plans administered by Medicare have reported on quality-of-care measures from the Health Plan Employer Data and Information Set (HEDIS). Studies of early data found that blacks received care that was of lower quality than that received by whites. In this study, we assessed changes over time in the overall quality of care and in the magnitude of racial disparities in nine measures of clinical performance. METHODS: In order to compare the quality of care for elderly white and black beneficiaries enrolled in Medicare managed-care plans who were eligible for at least one of nine HEDIS measures, we analyzed 1.8 million individual-level observations from 183 health plans from 1997 to 2003. For each measure, we assessed whether the magnitude of the racial disparity had changed over time with the use of multivariable models that adjusted for the age, sex, health plan, Medicaid eligibility, and socioeconomic position of beneficiaries on the basis of their area of residence. RESULTS: During the seven-year study period, clinical performance improved on all measures for both white enrollees and black enrollees (P<0.001). The gap between white beneficiaries and black beneficiaries narrowed for seven HEDIS measures (P<0.01). However, racial disparities did not decrease for glucose control among patients with diabetes (increasing from 4 percent to 7 percent, P<0.001) or for cholesterol control among patients with cardiovascular disorders (increasing from 14 percent to 17 percent; change not significant, P=0.72). CONCLUSIONS: The measured quality of care for elderly Medicare beneficiaries in managed-care plans improved substantially from 1997 to 2003. Racial disparities declined for most, but not all, HEDIS measures we studied. Future research should examine factors that contributed to the narrowing of racial disparities on some measures and focus on interventions to eliminate persistent disparities in the quality of care.

Aged↗

A multistate Markov chain model for longitudinal, categorical quality-of-life data subject to non-ignorable missingness.

Quality-of-life (QOL) is an important outcome in clinical research, particularly in cancer clinical trials. Typically, data are collected longitudinally from patients during treatment and subsequent follow-up. Missing data are a common problem, and missingness may arise in a non-ignorable fashion. In particular, the probability that a patient misses an assessment may depend on the patient's QOL at the time of the scheduled assessment. We propose a Markov chain model for the analysis of categorical outcomes derived from QOL measures. Our model assumes that transitions between QOL states depend on covariates through generalized logit models or proportional odds models. To account for non-ignorable missingness, we incorporate logistic regression models for the conditional probabilities of observing measurements, given their actual values. The model can accommodate time-dependent covariates. Estimation is by maximum likelihood, summing over all possible values of the missing measurements. We describe options for selecting parsimonious models, and we study the finite-sample properties of the estimators by simulation. We apply the techniques to data from a breast cancer clinical trial in which QOL assessments were made longitudinally, and in which missing data frequently arose.

Antineoplastic Agents↗

Prevalence and treatment of mental disorders, 1990 to 2003.

BACKGROUND: Although the 1990s saw enormous change in the mental health care system in the United States, little is known about changes in the prevalence or rate of treatment of mental disorders. METHODS: We examined trends in the prevalence and rate of treatment of mental disorders among people 18 to 54 years of age during roughly the past decade. Data from the National Comorbidity Survey (NCS) were obtained in 5388 face-to-face household interviews conducted between 1990 and 1992, and data from the NCS Replication were obtained in 4319 interviews conducted between 2001 and 2003. Anxiety disorders, mood disorders, and substance-abuse disorders that were present during the 12 months before the interview were diagnosed with the use of the American Psychiatric Association's Diagnostic and Statistical Manual of Mental Disorders, fourth edition (DSM-IV). Treatment for emotional disorders was categorized according to the sector of mental health services: psychiatry services, other mental health services, general medical services, human services, and complementary-alternative medical services. RESULTS: The prevalence of mental disorders did not change during the decade (29.4 percent between 1990 and 1992 and 30.5 percent between 2001 and 2003, P=0.52), but the rate of treatment increased. Among patients with a disorder, 20.3 percent received treatment between 1990 and 1992 and 32.9 percent received treatment between 2001 and 2003 (P<0.001). Overall, 12.2 percent of the population 18 to 54 years of age received treatment for emotional disorders between 1990 and 1992 and 20.1 percent between 2001 and 2003 (P<0.001). Only about half those who received treatment had disorders that met diagnostic criteria for a mental disorder. Significant increases in the rate of treatment (49.0 percent between 1990 and 1992 and 49.9 percent between 2001 and 2003) were limited to the sectors of general medical services (2.59 times as high in 2001 to 2003 as in 1990 to 1992), psychiatry services (2.17 times as high), and other mental health services (1.59 times as high) and were independent of the severity of the disorder and of the sociodemographic characteristics of the respondents. CONCLUSIONS: Despite an increase in the rate of treatment, most patients with a mental disorder did not receive treatment. Continued efforts are needed to obtain data on the effectiveness of treatment in order to increase the use of effective treatments.

Adult↗

Patterns and predictors of attention-deficit/hyperactivity disorder persistence into adulthood: results from the national comorbidity survey replication.

BACKGROUND: Despite growing interest in adult attention-deficit/hyperactivity disorder (ADHD), little is known about predictors of persistence of childhood cases into adulthood. METHODS: A retrospective assessment of childhood ADHD, childhood risk factors, and a screen for adult ADHD were included in a sample of 3197 18-44 year old respondents in the National Comorbidity Survey Replication (NCS-R). Blinded adult ADHD clinical reappraisal interviews were administered to a sub-sample of respondents. Multiple imputation (MI) was used to estimate adult persistence of childhood ADHD. Logistic regression was used to study retrospectively reported childhood predictors of persistence. Potential predictors included socio-demographics, childhood ADHD severity, childhood adversity, traumatic life experiences, and comorbid DSM-IV child-adolescent disorders (anxiety, mood, impulse-control, and substance disorders). RESULTS: Blinded clinical interviews classified 36.3% of respondents with retrospectively assessed childhood ADHD as meeting DSM-IV criteria for current ADHD. Childhood ADHD severity and childhood treatment significantly predicted persistence. Controlling for severity and excluding treatment, none of the other variables significantly predicted persistence even though they were significantly associated with childhood ADHD. CONCLUSIONS: No modifiable risk factors were found for adult persistence of ADHD. Further research, ideally based on prospective general population samples, is needed to search for modifiable determinants of adult persistence of ADHD.

Adolescent↗

Continuity of health insurance coverage for children with special health care needs.

OBJECTIVES: To assess the continuity of health insurance coverage and its associated factors for children with special health care needs (CSHCN). METHODS: Logistic regression and proportional hazard models were estimated on monthly insurance enrollment for 5594 children in the 1996 Medical Expenditure Panel Survey. CSHCN were identified using a non-categorical approach. Stratified analyses were conducted to determine whether any characteristics differentiated the effects of CSHCN status on children's coverage. RESULTS: In 1996, more than 8% of CSHCN were uninsured for the entire year. For those who were insured in January 1996, 14% lost their coverage by December 1996. CSHCN were more likely than other children to be insured (92% vs. 89%), mainly due to their better access to public insurance (35% vs. 23%). Conversely, CSHCN were less likely than other children to stay insured if they were school-aged, non-Hispanic White, from working, low-income families or the US Midwest region. Higher parental education improved health insurance enrollment for CSHCN, whereas higher family income or having activity limitations protected them from losing coverage. Regardless of CSHCN status, being publicly insured was associated with a higher risk of losing coverage for children. CONCLUSIONS: Despite increased health care needs, a considerable proportion of CSHCN is unable to access or maintain coverage. Compared to other children, CSHCN are more likely to have coverage but no more likely to stay insured. Improving continuity of coverage for publicly insured children is needed, especially CSHCN who are more likely to obtain their coverage through public programs.

Adolescent↗

Quality of care in for-profit and not-for-profit health plans enrolling Medicare beneficiaries.

BACKGROUND: For-profit health plans now enroll the majority of Medicare beneficiaries who select managed care. Prior research has produced conflicting results about whether for-profit health plans provide lower quality of care. OBJECTIVE: The objective was to compare the quality of care delivered by for-profit and not-for-profit health plans using Medicare Health Plan Employer Data and Information Set (HEDIS) clinical measures. RESEARCH DESIGN: This was an observational study comparing HEDIS scores in for-profit and not-for-profit health plans that enrolled Medicare beneficiaries in the United States during 1997. OUTCOME MEASURES: Outcome measures included health plan quality scores on each of 4 clinical services assessed by HEDIS: breast cancer screening, diabetic eye examination, beta-blocker medication after myocardial infarction, and follow-up after hospitalization for mental illness. RESULTS: The quality of care was lower in for-profit health plans than not-for-profit health plans on all 4 of the HEDIS measures we studied (67.5% vs 74.8% for breast cancer screening, 43.7% vs 57.7% for diabetic eye examination, 63.1% vs 75.2% for beta-blocker medication after myocardial infarction, and 42.1% vs 60.4% for follow-up after hospitalization for mental illness). Adjustment for sociodemographic case-mix and health plan characteristics reduced but did not eliminate the differences, which remained statistically significant for 3 of the 4 measures (not beta-blocker medication after myocardial infarction). Different geographic locations of for-profit and not-for-profit health plans did not explain these differences. CONCLUSION: By using standardized performance measures applied in a mandatory measurement program, we found that for-profit health plans provide lower quality of care than not-for-profit health plans. Special efforts to monitor and improve the quality of for-profit health plans may be warranted.

Aged↗

How patients' sociodemographic characteristics affect comparisons of competing health plans in California on HEDIS quality measures.

OBJECTIVE: To estimate effects of patient sociodemographic characteristics on differential performance within and between plans in a single market area on the HEDIS quality of care measures, widely used for purchasing and accreditation decisions in the United States. DESIGN: Using logistic regression, we modeled associations of age, sex, and zip-code-linked sociodemographic characteristics of health plan members with HEDIS measures of screening and preventive services. We calculated the impact of adjusting for these associations on measures of health plan performance. SETTING: Twenty-two California health plans provided individual-level HEDIS data and zip codes of residence for up to 2 years. PARTICIPANTS: 110 541 commercially insured health plan members. MAIN OUTCOME MEASURES: Ten HEDIS quality-of-care measures. RESULTS: Performance on quality measures was negatively associated with percent receiving public assistance in the local area (seven out of 10 measures), percent Black (three measures), and percent Hispanic (four measures), and positively associated with percent college educated (six measures), and percent urban (three measures), controlling for plan, while associations with percent Asian were positive for three measures and negative for one (P < 0.05 for six associations, P < 0.01 for four, P < 0.001 for 17). Associations were consistent across plans and over time. Adjustment for these characteristics changed rates for most plans and measures by <5 percentage points. CONCLUSIONS: Adjustment for socioeconomic case mix has little impact on the measured performance of most plans in California, but substantially affects a few. The impact of case mix on indicators should be considered when making comparisons of health plan quality.

Benchmarking↗