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Biomedical subjects

Harold S Luft

Publications and source records attributed to Harold S Luft.

18 recordsLinked to original sources

Reducing racial/ethnic disparities in female breast cancer: screening rates and stage at diagnosis.

OBJECTIVES: We assessed whether population rates of mammography screening, and their changes over time, were associated with improvements in breast cancer stage at diagnosis and whether the strength of this association varied by race/ethnicity. METHODS: We analyzed state cancer registry data linked to socioeconomic characteristics of patients' areas of residence for 1990-1998 time trends in the likelihood of early stage diagnosis. We appended each cancer registry record with matching subgroup estimates of self-reported mammography screening. RESULTS: Trends in screening and stage at diagnosis were consistent within groups, but African American women had a significantly lower proportion of early stage cancers despite an advantage in screening. Population screening rates were significantly associated with early diagnosis, with a weaker association in African American women than White women (odds ratio [OR] = 1.70; P<.0001 vs OR=2.02; P<.0001, respectively). CONCLUSIONS: Improvements in screening rates during the 1990s across racial/ethnic groups appear to have contributed significantly to earlier diagnosis within each group, but a smaller effect in African American women should raise concerns. A key health policy challenge is to ensure that screening effectively translates into earlier diagnosis.

Adult↗

Evaluating medical effectiveness for the california health benefits review program.

An important aspect of the mandate assessments requested by the California legislature is a review of the scientific and medical literature on the medical effectiveness of the proposed health insurance benefit mandate. Although such a review bears many similarities to effectiveness reviews that might be undertaken for publication as research studies, several important differences arise from the requirements of the California legislation. Our reviews are intended to assist the legislators in deciding whether to support a specific mandate to modify health insurance benefits in a particular way. Thus, our assessments focus on how the scientific literature bears on the proposed mandate, which may involve a complicated chain of potential effects leading from altered coverage to ultimate impact on health. Evidence may be available for only some of the links in the chain. Furthermore, not all the evidence may be directly applicable to the diverse population of California or the subpopulation affected by the mandate. The mandate reviews, including the medical effectiveness analyses, may be used in a potentially contentious decision making setting. The legislative calendar requires that they need to be timely, yet they must be as valid, credible, and based on the best information available as possible. The focus on applicability also implies the need for informed, technical decisions concerning the relevance of the articles for the report, and these decisions need to be made as transparent as possible. These goals and constraints yield an approach that differs somewhat from an investigator-initiated review of the literature.

California↗

A comparative analysis of mandated benefit laws, 1949-2002.

OBJECTIVE: To understand and compare the trends in mandated benefits laws in the United States. DATA SOURCES/STUDY SETTING: Mandated benefit laws enacted in 50 states and the District of Columbia for the period 1949-2002 were compiled from multiple published compendia. STUDY DESIGN: Laws that require private insurers and health plans to cover particular services, types of diseases, or care by specific providers in 50 states and the District of Columbia are compared for the period 1949-2002. Legislation is compared by year, by average and total frequency, by state, by type (provider, health care service, or preventive), and according to whether it requires coverage or an offer of coverage. DATA COLLECTION/EXTRACTION METHOD: Data from published tables were entered into a spreadsheet and analyzed using statistical software. PRINCIPAL FINDINGS: A total of 1,471 laws mandated coverage for 76 types of providers and services. The most common type of mandated coverage is for specific health care services (670 laws for 34 different services), followed by laws for services offered by specific professionals and other providers (507 mandated benefits laws for 25 types of providers), and coverage for specific preventive services (295 laws for 17 benefits). On average, a mandated benefit law has been adopted or significantly revised by 19 states, and each state has approximately 29 mandates. Only two benefits (minimum maternity stay and breast reconstruction) are mandated in all 51 jurisdictions and these were also federally mandated benefits. The mean number of total mandated benefit laws adopted or significantly revised per year was 17 per year in the 1970s, 36 per year in the 1980s, 59 per year in the 1990s, and 76 per year between 2000 and 2002. Since 1990, mandate adoption increased substantially, with around 55 percent of all mandated benefit laws enacted between 1990 and 2002. CONCLUSIONS: There was a large increase in the number of mandated benefits laws during the managed care "backlash" of the 1990s. Many states now use mandated benefits to prescribe not only what services and benefits would be provided but how, where, and when services will be provided.

Data Interpretation, Statistical↗

Assessing risk-adjustment approaches under non-random selection.

Various approaches have been proposed to adjust for differences in enrollee risk in health plans. Because risk-selection strategies may have different effects on enrollment, we simulated three types of selection--dumping, skimming, and stinting. Concurrent diagnosis-based risk adjustment, and a hybrid using concurrent adjustment for about 8% of the cases and prospective adjustment for the rest, perform markedly better than prospective or demographic adjustments, both in terms of R2 and the extent to which plans experience unwarranted gains or losses. The simulation approach offers a valuable tool for analysts in assessing various risk-adjustment strategies under different selection situations.

Female↗

The best of both worlds? Potential of hybrid prospective/concurrent risk adjustment.

BACKGROUND: There remains considerable uncertainty about whether prospective or concurrent risk adjustment (RA) is preferable. Although concurrent models have better predictive power than prospective models, the large payments associated with concurrent RA create incentives for fraudulent coding. A hybrid strategy--in which prospective payments were used for patients with low expected costs and concurrent payments were available upon the diagnosis of a small number of common, expensive conditions--might improve predictive performance while requiring less auditing than fully concurrent RA. In addition, within-condition RA (using clinical data) for the selected conditions could further improve predictive power. OBJECTIVES: To assess how such a hybrid strategy might perform, focusing on a small number of chronic, expensive conditions that are verifiable (hence auditable). SUBJECTS AND MEASURES: All patients from seven health plans who had two complete years of utilization data were considered. RA models were estimated among patients younger than 65 (n = 319,209) using the Hierarchical Coexisting Conditions (HCC) model with and without stratification of the sample based on the presence of one or more of 100 verifiable, expensive, predictive conditions (VEP100). R2 and predictive ratios were calculated for each model studied. RESULTS: Patients with a VEP100 condition (9.3% of the population) accounted for 84.3% of the variation in cost. R2 was 0.08 using a prospective HCC model on the entire population, but increased to 0.26 for a hybrid using prospective HCCs on the 90.7% of the sample without a VEP100 condition and a simple concurrent model consisting of dummy variables for each of the VEP100 conditions. CONCLUSION: Combined with targeted auditing, a hybrid approach to RA could improve our ability to match payments to costs. However, because this would require additional, costly data collection, more research is needed to determine whether this benefit justifies the data collection and auditing burden.

Adolescent↗

Variations in patterns of care and outcomes after acute myocardial infarction for Medicare beneficiaries in fee-for-service and HMO settings.

OBJECTIVE: To assess revascularization and mortality after acute myocardial infarction (AMI) for all Medicare patients in fee-for-service (FFS) and health maintenance organization (HMO) settings in California. DATA SOURCES/STUDY SETTING: Hospital discharge abstract and death certificate data linked with Medicare enrollment files for patients aged 65 and over with Medicare coverage (69,040) discharged from a California-licensed hospital in 1994-1996. STUDY DESIGN: Risk-adjusted results were assessed for HMOs and FFS, as well as for FFS beneficiaries from areas served by each plan. DATA COLLECTION/EXTRACTION METHODS: Risk models were based on all sampled patients. The HMO patients were aggregated into 17 pseudoplans: 5 individual plans, 4 large plans split geographically (10 observations), and 2 "pseudoplans" of small HMOs. Observed versus expected 30-day mortality rates, lengths-of-stay (LOS) during the index hospitalization and any transfers, revascularization (coronary artery bypass graft [CABG] surgery and/or percutaneous transluminal coronary angioplasty [PTCA]) during the index hospitalization or 30 days after admission, were calculated for each pseudoplan. PRINCIPAL FINDINGS: Risk-adjusted death rate was slightly higher in FFS than in HMO settings (p < .01 with one risk adjustment model, n.s. with another). Three pseudoplans had significantly (p < .01) better than expected mortality rates. One pseudoplan was significantly worse (p < .05) with one risk adjustment model but not the other. The LOS and revascularization rates varied widely, but were not associated with outcomes. Plans with among the best results had the lowest LOS and revascularization rates. These pseudoplans were less likely to have their patients initially admitted to a hospital with revascularization capability, but the hospitals they used had higher CABG volumes. Even if CABG facilities were available during the index admission, in these plans with better than expected mortality rates, revascularization was often postponed or carried out elsewhere. CONCLUSIONS: For Medicare patients having an AMI in the mid-1990s in California, risk-adjusted outcomes were no different, or slightly better on average, for those in HMOs than in FFS. Not all plans performed equally well, so understanding what leads to differences in quality is more important than simple comparisons of HMOs versus FFS.

Aged↗

What's behind the health expenditure trends?

In this paper, we review the literature on a number of the potential explanations for the rise in health care expenditures in the United States: the aging population, the costs of dying, technology, physician incomes, administrative costs, prescription drugs, managed care, and the underfunding of public health. Our goal is not to pass definitive judgment on the force(s) driving health care costs, but rather to make the reader a more educated consumer of these widely cited data. We place special emphasis on how health expenditures are measured and the inherent weaknesses in the methodology. We find that frequently it is difficult to accurately estimate how individual forces influence total health care expenditures. Moreover, we conclude that interpreting the causes of the rise in expenditures goes beyond simple observations of trends and depends on how we value various segments and aspects of health and health care.

Health Care Reform↗

HMO plan performance update: an analysis of the literature, 1997-2001.

This paper synthesizes results from peer-reviewed literature published from 1997 to mid-2001, on various dimensions of health maintenance organization (HMO) plan performance. Results from seventy-nine studies suggest that both types of plans provide roughly comparable quality of care, while HMOs lower use of hospital and other expensive resources somewhat. At the same time, HMO enrollees report worse results on many measures of access to care and lower levels of satisfaction, compared with non-HMO enrollees. Quality-of-care results in particular are heterogeneous, which suggests that quality is not uniform--that it varies widely among providers, plans (HMO and non-HMO), and geographic areas.

Cost Control↗