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A M Garber

Publications and source records attributed to A M Garber.

60 records · Page 4Linked to original sources

Case mix, costs, and outcomes. Differences between faculty and community services in a university hospital.

To gain insight into the possible consequences of prospective payment for university hospitals, we studied 2025 admissions to the faculty and community services of a university hospital, measuring differences in case mix, costs, and mortality in the hospital. The faculty service had more of the patients with costly diagnoses, but even after adjustment for diagnosis-related groups (DRGs), costs were 11 per cent higher on the faculty service (95 per cent confidence limits, 4 to 18 per cent). The percentage differential was greatest for diagnostic costs. The differential was particularly large--70 per cent (95 per cent confidence limits, 33 to 107 per cent)--for patients with a predicted probability of death of 0.25 or greater. The in-hospital mortality rate was significantly lower on the faculty service after adjustment for case mix and patient characteristics (P less than 0.05); the difference was particularly large for patients in the high-death-risk category. Comparison of a matched sample of 51 pairs of admissions from the high-death-risk category confirmed the above results with respect to costs and in-hospital mortality, but follow-up revealed that the survival rates were equal for the two services at nine months after discharge. The effect of prospective payment on the cost of care will be closely watched; we conclude that is will also be important to monitor the effect on outcomes, including hospital mortality rates.

Aged↗

Developing and testing a multimedia presentation of a health-state description.

Quality-adjustment weights for health states are an essential component of cost-utility analysis (CUA). Quality-adjustment weights are obtained by presenting large numbers of subjects with multiattribute descriptions of health states for rating. Comprehending multiattribute health states is a difficult task for most respondents. The authors hypothesized that multimedia (MM) presentation using computers might facilitate this task better than would a paper-based text (Text). To test this hypothesis, they developed closely matched MM and Text descriptions of health states in the first-person narrative style, and developed a method of testing the presentation of a health state. Subjects were randomized to exposure to either MM or Text and subject recall of the health state and recognition of features of the health state were tested. How well defined the preferences of the subjects were after each presentation method was assessed by having the subjects mark on a double-anchored visual-analog scale the "best" and "worst" they believed the quality of life in the health state might be. MM subjects had better recall (11.85 vs 9.44 of a total of 24 meaning units, p = 0.098) and better recognition (4.71 vs 4.22, p = 0.08). The average interval between the "best" and "worst" ratings was shorter for the MM subjects (2.19 cm vs 3.26 cm, p = 0.12).(ABSTRACT TRUNCATED AT 250 WORDS)

Adult↗

Evidence-based coverage policy.

Many health plans apply evidence-based approaches to coverage decisions. The foundation of such approaches is the systematic review of information about the effectiveness of medical interventions. This paper discusses the principles underlying evidence-based coverage policy and how they are applied by two major programs: the Technology Evaluation Center of the Blue Cross Blue Shield Association and the Medicare Coverage Advisory Committee. Although such policies likely have limited effects on spending, they can help to direct medical resources toward effective care.

Biomedical Technology↗