Maciejewski, M., K. T. Call, B. Dowd, and R. Feldman. 2001. “Comparing Mortality Rates and Days of Survival for HMO Enrollees Fee-For-Service Beneficiaries.” Health Services Research 35 (6):1245-1265.

OBJECTIVE: To compare adjusted mortality rates of TEFRA-risk HMO enrollees and disenrollees with rates of beneficiaries enrolled in the Medicare fee-for-service sector (FFS), and to compare the time until death for decedents in these three groups. DATA SOURCE: Data are from the 124 counties with the largest TEFRA-risk HMO enrollment using 1993-1994 Medicare Denominator files for beneficiaries enrolled in the FFS and TEFRA-risk HMO sectors. STUDY DESIGN: A retrospective study that tracks the mortality rates and time until death of a random sample of 1,240,120 Medicare beneficiaries in the FFS sector and 1,526,502 enrollees in HMOs between April 1, 1993 and April 1, 1994. A total of 58,201 beneficiaries switched from an HMO to the FFS sector and were analyzed separately. PRINCIPAL FINDINGS: HMO enrollees have lower relative odds of mortality than a comparable group of FFS beneficiaries. Conversely, HMO disenrollees have higher relative odds of mortality than comparable FFS beneficiaries. Among decedents in the three groups, HMO enrollees lived longer than FFS beneficiaries, who in turn lived longer than HMO disenrollees. CONCLUSIONS: Medicare TEFRA-risk HMO enrollees appear to be, on average, healthier than beneficiaries enrolled in the FFS sector, who appear to be in turn healthier than HMO disenrollees. These health status differences persist, even after controlling for beneficiary demographics and county-level variables that might confound the relationship between mortality and the insurance sector.

Call, K. T., B. Dowd, R. Feldman, N. Lurie, M. McBean, and M. Maciejewski. 2001. “Disenrollment from Medicare HMOs.” American Journal of Managed Care 7 (1): 37-52.

BACKGROUND: Since the program's inception, there has been great interest in determining whether beneficiaries who enter and subsequently leave Medicare health maintenance organizations (HMOs) are more or less costly than those remaining in fee-for-service (FFS) Medicare. OBJECTIVES: To examine whether relatively high-cost beneficiaries disenroll from Medicare HMOs (disenrollment bias) and whether disenrollment bias varies by Medicare HMO market characteristics. In addition, we compare rates of surgical procedures and hospitalizations for ambulatory care-sensitive conditions for disenrollees and continuing FFS beneficiaries. DESIGN: Cross-sectional analysis of 1994 Medicare data. PARTICIPANTS AND METHODS: Medicare beneficiaries were first sampled from the 124 counties with at least 1000 Medicare HMO enrollees. From this pool, HMO disenrollees and a sample of continuing FFS beneficiaries were drawn. The FFS beneficiaries were assigned dates of "pseudodisenrollment." Expenditures and inpatient service use were compared for 6 months after disenrollment or pseudodisenrollment. RESULTS: The HMO disenrollees were no more likely than the continuing FFS beneficiaries to have positive total expenditures (Part A plus Part B) or Part B expenditures in the first 6 months after disenrollment. However, disenrollees were more likely to have Part A expenditures. Among beneficiaries with spending, disenrollees had higher total and Part B expenditures than continuing FFS beneficiaries. Moreover, the disparity in total and Part B spending between disenrollees and continuing FFS beneficiaries increased with HMO market penetration. Although Part A spending was higher for disenrollees with spending, it was not sensitive to changes in market share. The HMO disenrollees received more surgical procedures and were hospitalized for more of the ambulatory care-sensitive conditions than the FFS beneficiaries. CONCLUSIONS: On several measures, Medicare HMOs experienced favorable disenrollment relative to continuing FFS beneficiaries as recently as 1994, which increased as HMO market share increased.

Blewett, L. A., E. Peterson, M. D. Finch, and S. T. Parente. 2003. “The Role of the Private Sector in Monitoring Health Care Quality and Patient Safety.” Journal on Quality and Safety 29 (8): 425-433.

BACKGROUND: As payers, purchasers, and providers, both the public and private sectors have a stake in developing sound methods of measuring health care quality and patient safety. However, the role of the private sector in a national quality monitoring system remains largely underdeveloped. PRIVATE SECTOR ROLE IN HEALTH CARE QUALITY MONITORING: There have been some attempts to pool private-sector data through health care industry efforts to measure and monitor the quality of health care services. Yet despite a number of public/private partnerships, no standard method exists for measuring and monitoring health care quality and safety across public and private payers. THE AHRQ WORKSHOP ON PRIVATE-SECTOR QUALITY MONITORING: The Agency for Healthcare Research and Quality (AHRQ) sponsored a workshop in fall 2000 to address the private sector's role in monitoring quality in the health care system. National experts developed a conceptual framework and recommendations on the design and scope of a private-sector data monitoring system. Ten key attributes of the monitoring system, such as timeliness of reports, flexibility, efficiency, and linkability, were identified. Barriers and gaps to the development of such a system include the cost of data collection, the diversity of the units of data collection, data privacy, and limitations of administrative data elements. SUMMARY: A comprehensive, public/private data collection system would address the multidimensional nature of quality and use data to effectively represent this complexity to the extent possible.

Blewett, L., K. Johnson, T. McCarthy, T. Lackner, and B. Brandt. 2010. "Improving Geriatric Transitional Care through Interprofessional Care Teams." Journal of Evaluation in Clinical Practice (16)1: 57-63.

Objectives The aim of this study was to examine the impact of the use of an interprofessional care team on patient length of stay and payer charges in a geriatric transitional care unit.
Methods An analysis of de-identified administrative records for transitional care patients for the 12-month period (2003–2004) cared for by the inter-professional team (n = 163) and cared for by traditional single provider care model (n = 176) was carried out.We conducted logistic regression on length of stay and charges controlling for patient demographics and acuity levels.
Results The inter-professional care team patients had significantly shorter lengths of stay, fewer patient days and lower total charges. Patient diagnosis and acuity were similar across groups.
Conclusion This study provides empirical evidence of the impact of an inter-professional care model in providing cost-effective transitional care in a nursing home setting. Evidence of shorter lengths of stay, shorter patient days and lower charges suggests benefit in the development and financing of inter-professional care teams for transitional care services.