Biomedical subjects

Richard T Meenan

Publications and source records attributed to Richard T Meenan.

7 recordsLinked to original sources

PubMed2005

Prevalence and incidence of interstitial cystitis in a managed care population.

PURPOSE: We calculated the prevalence and incidence of physician diagnosed interstitial cystitis (IC) in men and women in a managed care population in the Pacific Northwest. MATERIALS AND METHODS: A computer search of the Kaiser Permanente Northwest (Portland, Oregon) database was performed for January 1998 to May 2002. The prevalence of IC in patients 25 to 80 years old was calculated using the 4 definitions of 1) patients assigned a diagnosis of IC, 2) patients assigned a diagnosis of IC without any of the consensus IC exclusion criteria, 3) patients who had also had undergone cystoscopy and 4) patients who had specifically undergone cystoscopy with hydrodistention for IC. A second database search was performed 1 year later (May 2003) to identify incident cases of IC. RESULTS: The prevalence of IC was 197 per 100,000 women and 41 per 100,000 men for definition 1, 158 per 100,000 women and 28 per 100,000 men for definition 2, 99 per 100,000 women and 19 per 100,000 men for definition 3, and 45 per 100,000 women and 8 per 100,000 men for definition 4. Using definition 2 the 1-year incidence of IC was 21 per 100,000 women and 4 per 100,000 men. The female-to-male ratio for each estimate was 5:1. CONCLUSIONS: The prevalence and incidence of interstitial cystitis is significantly higher for women and men than previously published estimates. Men account for a higher proportion of patients with IC than has previously been recognized.

Adult↗

PubMed2004

Opportunities and challenges for measuring cost, quality, and clinical effectiveness in health care.

Empirical studies of health care cost, productivity, and output have focused primarily on intermediate goods and services. Consumers are ultimately interested in final goods such as improved health or health-related quality of life, but health services research continues to address whether health services financing and delivery are structured in ways to maximize production of intermediate goods, regardless of the link between these services and final outcomes. Increasing rates of growth of health care cost and dissatisfaction with the quality of U.S. health care force us to reexamine how productivity and cost are analyzed so that research properly informs policy and practice. The authors examine recent changes in the U.S. health care sector that suggest the need to revise how health services research approaches analyses of cost, production, and output; consider alternative notions of final goods; and review the availability and quality of data necessary to conduct this research.

Cost-Benefit Analysis↗

PubMed2003

Risk adjustment using automated ambulatory pharmacy data: the RxRisk model.

OBJECTIVES: Develop and estimate the RxRisk model, a risk assessment instrument that uses automated ambulatory pharmacy data to identify chronic conditions and predict future health care cost. The RxRisk model's performance in predicting cost is compared with a demographic-only model, the Ambulatory Clinical Groups (ACG), and Hierarchical Coexisting Conditions (HCC) ICD-9-CM diagnosis-based risk assessment instruments. Each model's power to forecast health care resource use is assessed. DATA SOURCES: Health services utilization and cost data for approximately 1.5 million individuals enrolled in five mixed-model Health Maintenance Organizations (HMOs) from different regions in the United States. STUDY DESIGN: Retrospective cohort study using automated managed care data. SUBJECTS All persons enrolled during 1995 and 1996 in Group Health Cooperative of Puget Sound, HealthPartners of Minnesota and the Colorado, Ohio and Northeast Regions of Kaiser-Permanente. MEASURES RxRisk, an algorithm that classifies prescription drug fills into chronic disease classes for adults and children. RESULTS: HCCs produce the most accurate forecasts of total costs than either RxRisk or ACGs but RxRisk performs similarly to ACGs. Using the R(2) criteria HCCs explain 15.4% of the prospective variance in cost, whereas RxRisk explains 8.7% and ACGs explain 10.2%. However, for key segments of the cost distribution the differences in forecasting power among HCCs, RxRisk, and ACGs are less obvious, with all three models generating similar predictions for the middle 60% of the cost distribution. CONCLUSIONS: HCCs produce more accurate forecasts of total cost, but the pharmacy-based RxRisk is an alternative risk assessment instrument to several diagnostic based models and depending on the nature of the application may be a more appropriate option for medical risk analysis.

Adolescent↗

PubMed2003

Using risk-adjustment models to identify high-cost risks.

BACKGROUND: We examine the ability of various publicly available risk models to identify high-cost individuals and enrollee groups using multi-HMO administrative data. METHODS: Five risk-adjustment models (the Global Risk-Adjustment Model [GRAM], Diagnostic Cost Groups [DCGs], Adjusted Clinical Groups [ACGs], RxRisk, and Prior-expense) were estimated on a multi-HMO administrative data set of 1.5 million individual-level observations for 1995-1996. Models produced distributions of individual-level annual expense forecasts for comparison to actual values. Prespecified "high-cost" thresholds were set within each distribution. The area under the receiver operating characteristic curve (AUC) for "high-cost" prevalences of 1% and 0.5% was calculated, as was the proportion of "high-cost" dollars correctly identified. Results are based on a separate 106,000-observation validation dataset. MAIN RESULTS: For "high-cost" prevalence targets of 1% and 0.5%, ACGs, DCGs, GRAM, and Prior-expense are very comparable in overall discrimination (AUCs, 0.83-0.86). Given a 0.5% prevalence target and a 0.5% prediction threshold, DCGs, GRAM, and Prior-expense captured $963,000 (approximately 3%) more "high-cost" sample dollars than other models. DCGs captured the most "high-cost" dollars among enrollees with asthma, diabetes, and depression; predictive performance among demographic groups (Medicaid members, members over 64, and children under 13) varied across models. CONCLUSIONS: Risk models can efficiently identify enrollees who are likely to generate future high costs and who could benefit from case management. The dollar value of improved prediction performance of the most accurate risk models should be meaningful to decision-makers and encourage their broader use for identifying high costs.

Adolescent↗

PubMed2002

Surveying physicians: do components of the "Total Design Approach" to optimizing survey response rates apply to physicians?

BACKGROUND: Surveys serve essential roles in clinical epidemiology and health services research. However, physician surveys frequently encounter problems achieving adequate response rates. Research on enhancing response rates to surveys of the general public has led to the development of Dillman's "Total Design Approach" to the design and conduct of surveys. The impact of this approach on response rates among physicians is uncertain. OBJECTIVE: To determine the extent to which the components of the total design approach have been found to be effective in physician surveys. DESIGN: A systematic review. RESULTS: The effectiveness of prepaid financial incentives, special contacts, and personalization to enhance response rates in surveys of physicians have been confirmed by the existing research. There is suggestive evidence supporting the use of first class stamps on return envelopes and multiple contacts. The optimum amount for incentives and the number of contacts necessary have not been established. Details of questionnaire design and their impact on response rates have received almost no attention from researchers. Few studies have assessed the usefulness of combinations of components of the total design approach. CONCLUSIONS: Despite the number of surveys conducted among physicians, their cost, the level of interest in their findings, and in spite of inadequate response rates, there have been few randomized trials conducted on important aspects of enhancing response in this population. Until this gap has been filled, researchers conducting surveys of physicians should consider including all components of the total design approach whenever feasible.

Attitude of Health Personnel↗

PubMed2002

Issues in pooling administrative data for economic evaluation.

Managed care, in particular the health maintenance organization (HMO), now dominates US healthcare delivery, and economic evaluation is receiving increasing attention as a management tool that can be tailored to its perceived business needs. This encourages use of HMO administrative data as an efficient source of resource utilization and cost measures. Use of administrative data coincides with growing research interest in multisite analyses that increase external validity. The best alternative to a nationally representative data set is to pool administrative data from multiple sites within one database. However, pooling administrative data is problematic because HMO data sources reflect differences in systems of care, costing, and coding. This paper describes issues inherent in the pooling of HMO administrative cost data for use in multisite economic evaluations. We describe the attributes of administrative data that are relevant to costing and discuss their implications for multisite economic evaluations. We then briefly describe our experience with pooling multisite cost data, discuss lessons learned, and offer suggestions for researchers working with such data, followed by concluding comments. Multisite administrative data provide unique opportunities to conduct population-based clinical and economic research.

Community Health Planning↗

PubMedDate not supplied

On the integration of complementary and conventional medicine within health maintenance organizations.

The integration of complementary and alternative medicine (CAM) with conventional medicine continues across practice settings and modalities. Managed care is of particular interest to practitioners, policy makers, and researchers concerned with the evolution of CAM integration. Within health maintenance organizations (HMOs), availability, coverage, and support of CAM are variable. We present an organizational model within which we identify factors that influence the degree of CAM integration within HMOs. We describe avenues through which CAM is currently available within the Northwest Region of Kaiser Permanente (KPNW). We also describe research methods applicable to the study of CAM integration within HMOs.

Complementary Therapies↗