Philip J. Tedeschi

Racial and gender variation in use of diagnostic colonic procedures in the Michigan Medicare population.

BACKGROUND There is accumulating evidence that screening programs can alter the natural history of colorectal cancer, a significant cause of mortality and morbidity in the US. Understanding how the technology to diagnose colonic diseases is utilized in the population provides insight into both the access and processes of care. METHOD Using Medicare Part B billing files from the state of Michigan from 1986 to 1989 we identified all procedures used to diagnose colorectal disease. We utilized the Medicare Beneficiary File and the Area Resource File to identify beneficiary-specific and community-sociodemographic characteristics. The beneficiary and sociodemographic characteristics were, then, used in multiple regression analyses to identify their association with procedure utilization. RESULTS Sigmoidoscopic use declined dramatically with the increasing age cohorts of Medicare beneficiaries. Urban areas and communities with higher education levels had more sigmoidoscopic use. Among procedures used to examine the entire colon, isolated barium enema was used more frequently in African Americans, the elderly, and females. The combination of barium enema and sigmoidoscopy was used more frequently among females and the newest technology, colonoscopy, was used most frequently among White males. CONCLUSION The existence of race, gender, and socioeconomic disparities in the use of colorectal technologies in a group of patients with near-universal insurance coverage demonstrates the necessity of understanding the reason(s) for these observed differences to improve access to appropriate technologies to all segments in our society.

Variation in hospital admissions among small areas: A comparison of Maine and Michigan

Analysis of age-adjusted hospital admission profiles among small geographic areas has shown marked variation in hospital admissions for both surgical and medical cases in areas ranging from Maine to Manitoba. Much of the work has been led by John Wennberg and has focused on rural areas. This study examines the degree of variation in hospital admissions in small areas in the state of Michigan to determine whether those diseases that demonstrated high variation in Maine also demonstrated the same degree of variation in Michigan. The data on the degree of variation in 111 modified diagnosis-related groups (M-DRGs) from the state of maine were supplied by Dr. Wennberg. Using the same M-DRGs, we defined age-adjusted, population-based hospital admission rates for the lower peninsula of Michigan for 1980 among 60 previously defined hospital marked communities. The observed hospital discharge counts in each of the M-DRGs were compared to the expected counts in each of the 60 communities, where the expected count was based on an indirect age adjustment. Both the Maine and Michigan small area data were expressed by the M-DRGs systematic standard deviation in which random variation has been accounted for via a Poisson probability model. It was found that the systematic standard deviations of the M-DRGs in Maine and the M-DRGs in Michigan strongly correlated with a spearman correlation coefficient Of 0.71 (P <0.001). This study demonstrates that across a variety of geographic areas with differing mixes of urban, suburban, and rural locations there is remarkable consistency among diagnostic groups that show a high degree of variation in hospital admissions and those that show a low degree of variation. These data are encouraging; they suggest that an analysis of the reasons for small area variation in one area may be transportable to others.

Personalized targeted mailing increases mammography among long-term noncompliant medicare beneficiaries: A randomized trial

Objectives.The study purpose was to increase mammography screening among older women by identifying female Medicare beneficiaries without a recent mammogram and assesses the cost-effectiveness of a personalized targeted mailing encouraging them to have a mammogram. Methods.A randomized paired controlled trial included 1229 pairs of women matched on zip code, race, and urban or rural county. Postintervention mammography claims were measured from November 1997 through December 1998. The subjects were female Medicare beneficiaries age ≥ 70, living in Michigan for ≥ 5 years, having no significant comorbidity likely to affect screening, and no mammogram for ≥ 5 years. Intervention subjects received a personally addressed letter from the Medical Director of Michigan Medicare with materials emphasizing the individual’s lack of use of the Medicare mammography screening benefit, reasons for screening, and how to be screened. Results.Women who received the mailing were 60% more likely to have a subsequent mammogram (OR 1.6, P <0.005), with diagnostic mammograms increasing more than screening mammograms (2.8% vs. 0.8%). The absolute increase was greatest for women age 70 to 79, 10.6% in the intervention group versus 6.5% for controls, odds ratio 1.7 (P <0.02). A statewide Medicare intervention in Michigan would cost of

Small area analysis of hospital discharges for musculoskeletal diseases in Michigan: The influence of socioeconomic factors

108,000 to

Case-Mix Adjustment for an Expanded Renal Prospective Payment System

238,000, producing 3500 to 4300 additional mammograms at

Small-area analysis of gastrointestinal disease hospital discharge variation: Are the poor at risk?

31 to

Hospitalization for gastrointestinal and liver diseases: The effect of socioeconomic and medical supply factors

55 per additional mammogram. Conclusion. The intervention increased mammography among long-term noncompliant older women, particularly increasing diagnostic mammograms. This approach can be directly implemented in other states and nationally. It may also be useful for other preventive services.

Use of community versus individual socioeconomic data in predicting variation in hospital use.

PURPOSE The rise in health care costs has occasioned a number of initiatives in an attempt to reduce the rate of increase. Despite the growth of health maintenance organizations and preferred provider organizations and the introduction of Medicares prospective payment system, health care costs have continued to increase. Coincident with these efforts, a number of researchers have shown that there exists wide variation in age-adjusted hospital discharge rates, which translate into significant variation in per capita expenditures. Much of the focus on the reasons for hospital admission variability has been on physician practice variation. If most of the variation in hospital discharge rates is due to physician practice style, then payment systems can be developed (e.g., capitation) that limit physician practice variation without harming patients. We examined socioeconomic factors in Michigan communities to assess their association with hospital discharge rates for patients with musculoskeletal diseases. PATIENTS AND METHODS Data on hospital discharges from 1980 and 1987 were taken from the Michigan Inpatient Data Base. All admissions from the major diagnostic category 8, diagnosis-related group (DRG) 209-256 were included. Zip code-specific hospitalization data were grouped into small geographic areas or hospital market communities (HMCs). Discharge rates were calculated, and profiles of the socioeconomic characteristics of each of the HMCs were developed. A Poisson regression model with an extrasystematic component of variance was used to analyze the association of HMC socioeconomic characteristics with age-adjusted hospital use. RESULTS We found that four socioeconomic variables, average annual income per capita, percent of the population with four years of college, percent of the population living in an urban area, and percent of families with incomes below the poverty line, explained 26.6% (R2) of the variation in overall hospital discharge rates (p less than 0.001). Moreover, we found that the ability of the model to explain variability was influenced by the type of disease, and that these socioeconomic variables had a consistent effect across the range of DRGs. Finally, we noted that, over the period of 1980 to 1987, socioeconomic factors remained important in explaining hospital use despite the dramatic changes in the delivery of care over this period. CONCLUSION Socioeconomic factors play a significant role in explaining the observed variation in hospital discharge rates for musculoskeletal diseases. Models utilizing only physician practice variation to account for the population-based differences in discharge rates are overly simplistic. In order to ensure that vulnerable subsets of the population are not harmed by the introduction of cost-containment strategies based on simplistic models, more attention must be paid to the socioeconomic and epidemiologic factors related to hospital use.

Introduction to the excerpts from the United States Renal Data System 1999 Annual Data Report.

Medicare is considering an expansion of the bundle of dialysis-related services to be paid on a prospective basis. Exploratory models were developed to assess the potential limitations of case-mix adjustment for such an expansion. A broad set of patient characteristics explained 11.8% of the variation in Medicare allowable charges per dialysis session. Although adding recent hematocrit values or prior health care utilization to the model did increase explanatory power, it could also create adverse incentives. Projected gains or losses relative to prevailing fee-for-service payments, assuming no change in practice patterns, were significant for some individual providers. However, systematic gains or losses for different classes of providers were modest.

Association of Quarterly Average Achieved Hematocrit With Mortality in Dialysis Patients: A Time-Dependent Comorbidity-Adjusted Model

Capitation plans may place their enrollees at risk of rationed services if they do not adjust for underlying patient characteristics that dictate differing levels of care. To assess the degree to which population-based socioeconomic characteristics are associated with hospital use, this study explored small-area variation in hospital discharges for gastrointestinal and liver (GI) Diagnosis Related Groups (DRGs). Utilizing a 1980 Michigan database of 1.5 million discharges, we constructed age-adjusted, population-based discharge rates for the GI DRGs. We then evaluated the effect of poverty, defined by the percent of households in a hospital market community below the poverty line. Using regression techniques, we found that poverty explained 27.5% of the variation in GI hospital discharges, with the poor admitted more often (p less than 0.0001). Using cost weighted discharge rates as the dependent variable, we found that poverty explained 20.3% (p = 0.0003) of the variation in cost weighted discharges. These results suggest that poverty explains a significant amount of variation in hospital discharges and has a significant effect on associated small-area hospitalization costs in GI diseases. Practicing gastroenterologists and surgeons need to be aware of factors that influence patients utilizing their services in order to retain their role as patient advocates as changes in payment systems are suggested.