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Issues underlying prevalence of "doctor-shopping" behavior.

Data were collected on all persons within a sample of upper-and lower-income households who had seen physicians for illness episodes within a year prior to the interview. Forty-eight percent of upper-and 37 percent of lower-income families in the sample had changed doctors because of dissatisfaction with some aspect of the care. Factors related to tendency to shop for doctors in both upper-and lower-income groups were a lack of confidence in doctors' competence, unwillingness of doctors to spend time talking with patients, hostile feelings toward doctors, high cost of services, inconvenience of location and hours, and unfavorable attitudes toward doctors' personal qualities. Hypochondriasis was related to doctorshopping in the upper-income group. Results of this investigation suggest that patients may be becoming more discriminating in their choice of physicians.

Attitude↗

Modeling the effect of hospital charges and quality on choice.

The authors apply a conditional choice model to simulate the results of patient and physician choices of hospitals for a specific surgical procedure in response to improvements in quality or changes in charges. The model includes all zip code areas and relevant hospitals in a large metropolitan area and estimates the impact on admissions at each hospital. It can be used to estimate both the impact of decisions by a given hospital and the potential responses of competitors, as well as the effects of selective contracting with hospitals by certain payors.

Choice Behavior↗

Who leaves the service area? Profiling the hospital outshopper.

Rural hospitals are facing a crisis of major proportions. Declining patient loads, revenues, and profits are the norm. The authors find that in rural communities, the likelihood of going to the local hospital increases with age and may decrease with income.

Adolescent↗

The 85/15 formula.

Explore the source record for details and available documents.

Affect↗

Medicare capitation payments to HMOs in light of regression toward the mean in health care costs.

The literature suggests four basic "facts" about biased selection in PGPs: First, the well disproportionally enroll in PGPs. Second, for a group defined according to low expenditure, expenditure regresses toward the mean. Whether this is applicable to PGPs is unclear. Third, the well disproportionally disenroll from PGPs. Finally, although more evidence is needed, there appears to be little or no bias in PGP enrollee populations. This paper presents a framework that unifies these patterns. Based on these findings, this paper draws several conclusions that are relevant to Medicare capitation payments to HMOs; First, attempts to increase the sophistication of the AAPCC to compensate for biased selection should focus on predictors of the permanent component of expenditures instead of using past expenditures as a predictor. One can explain no more than 20 percent of the variance in such equations. Second, because of regression toward the mean, there are several interpretations of biased-enrollment estimates based on preenrollment data. The issue of these interpretations is unlikely to be resolved without a randomized experiment, although research with nonexperimental data could be useful. Third, due to the probable decay in PGPs' preferential selection, for rollovers there may be little biased selection, and for switchers the length of enrollment might be included in the AAPCC. Fourth, the adequacy of an AAPCC depends, in part, on whether biased selection results from consumer behavior or HMO behavior. Each of these conclusions suggests a research topic that should have priority: first, finding predictors of the permanent component of expenditure, thus increasing the percentage of the variance explained; second, testing the socioeconomic characteristics model of biased enrollment; third, measuring the speed at which the preferential selection of PGPs declines; fourth, investigating HMOs' ability to "select" enrollees.

Capitation Fee↗