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Biomedical subjects

J A Chilingerian

Publications and source records attributed to J A Chilingerian.

8 recordsLinked to original sources

Estimating hospital inefficiency: does case mix matter?

A two-stage approach is used in a stochastic frontier analysis of the factors affecting hospital efficiency. In the first stage, a translog cost-function is used to estimate inefficiency scores. In the second stage, inefficiency scores are regressed against independent variables to test hypotheses that come from X-inefficiency Theory. The study was based on 1989 data for 195 Pennsylvania acute care hospitals. This data base was chosen because of the availability of patient-level severity of illness data, a measure of output that is not available from most data sources. The stochastic frontier analysis models estimated mean inefficiency scores that ranged from 0.075 to 0.180. The addition of the DRG case mix index (CMI) reduced estimated inefficiency by more than 50%. The incremental effect of a severity of illness variable to an equation with CMI was very small. The second-stage results suggest inefficiency and are inversely associated with regulatory pressures and industry concentration.

Cross-Sectional Studies↗

Physician profiling in group practices.

Profiling is a technique that large, multispecialty group practices, like many insurers, can use to monitor and improve quality and efficiency. Groups can examine physician performance by calculating ratios of medical inputs to patient or population outputs. Physician control can help to achieve balance between clinical benefits and economic considerations. Profiles need to reflect a group's multiple missions, such as clinical care, research, and education; philosophy of care; and organizational ethos regarding physician compensation systems. Groups may need to customize standard approaches because of their emphasis on early utilization of specialists and the atypical case mixes often found in referral practices.

Group Practice↗

Bringing managed care incentives to Medicare's fee-for-service sector.

The Health Care Financing Administration (HCFA) could work with eligible physician organizations to generate savings in total reimbursements for their Medicare patients. Medicare would continue to reimburse all providers according to standard payment policies and mechanisms, and beneficiaries would retain the freedom to choose providers. However, implementation of new financial incentives, based on meeting targets called Group-Specific Volume Performance Standards (GVPS), would encourage cost-effective service delivery patterns. HCFA could use new and existing data systems to monitor access, utilization patterns, cost outcomes and quality of care. In short, HCFA could manage providers, who, in turn, would manage their patients' care.

Capitation Fee↗

The effects of ownership, operating environment, and strategic choices on nursing home efficiency.

This article reports on a study of the labor efficiency of 461 nursing homes located in Pennsylvania. Data envelopment analysis was used to estimate efficiency scores. Tobit equations were estimated for the entire sample and for subsamples consisting of for-profit (FP) and not-for-profit (NFP) nursing homes. The authors found that the major factors explaining efficiency were managerial and environmental characteristics such as ownership, occupancy rate, size, payment source, wage rate, and per capita income, rather than quality characteristics of nursing homes. Analysis of the FP and NFP subsamples suggests that many NFP homes may respond to environmental pressures by increasing their efficiency, whereas FP homes tend to operate at a high level of efficiency irrespective of environmental and regulatory pressures.

Bed Occupancy↗

The effect of physician practice organization on efficient utilization of hospital resources.

OBJECTIVE: This study examines variations in the efficient use of hospital resources across individual physicians. DATA SOURCES AND SETTING: The study is conducted over a two-year period (1989-1990) in all short-term general hospitals with 50 or more beds in Arizona. We examine hospital discharge data for 43,625 women undergoing cesarean sections and vaginal deliveries without complications. These data include physician identifiers that permit us to link patient information with information on physicians provided by the state medical association. STUDY DESIGN: The study first measures the contribution of physician characteristics to the explanatory power of regression models that predict resource use. It then tests hypothesized effects on resource utilization exerted by two sets of physician level factors: physician background and physician practice organization. The latter includes effects of hospital practice volume, concentration of hospital practice, percent managed care patients in one's hospital practice, and diversity of patients treated. Efficiency (inefficiency) is measured as the degree of variation in patient charges and length of stay below (above) the average of treating all patients with the same condition in the same hospital in the same year with the same severity of illness, controlling for discharge status and the presence of complications. PRINCIPAL FINDINGS: After controlling for patient factors, physician characteristics explain a significant amount of the variability in hospital charges and length of stay in the two maternity conditions. Results also support hypotheses that efficiency is influenced by practice organization factors such as patient volume and managed care load. Physicians with larger practices and a higher share of managed care patients appear to be more efficient. CONCLUSIONS: The results suggest that health care reform efforts to develop physician-hospital networks and managed competition may promote greater parsimony in physicians' practice behavior.

Arizona↗

New directions for hospital strategic management: the market for efficient care.

An analysis of current trends in the health care industry points to buyers seeking high quality, yet efficient, care as an emerging market segment. To target this market segment, hospitals must be prepared to market the efficient physicians. In the coming years, hospitals that can identify and market their best practicing providers will achieve a competitive advantage.

Efficiency↗

Managing physician efficiency and effectiveness in providing hospital services.

Physicians control more than 80 percent of the decisions affecting health costs. Consequently, managing physician practice patterns is an important avenue to reducing health care costs. One approach to identifying inefficient practice patterns is demonstrated in this pilot study of physicians treating heart shock patients. Physicians are evaluated using data envelopment analysis (DEA), a relatively new linear-program-based efficiency evaluation tool. This approach (1) locates physicians using excess resources in treating patients, (2) estimates the amount of excess resources used, and (3) explicitly considers the quality of patient care in the overall assessment of the physician's practice patterns. Findings of physician inefficiency that are stable over time could be used to alter practice patterns and subsequently to assist in cost containment.

Data Collection↗