title: Organizational determinants of efficiency and effectiveness in mental health partial care programs.
abstract: The use of partial care as a treatment modality for mentally ill patients, particularly the chronically mentally ill, has greatly increased. However, research into what constitutes a "good" program has been scant. This article reports on an evaluation study of staff productivity, cost efficiency, and service effectiveness of adult partial care programs carried out in New Jersey in fiscal year 1984/1985. Five program performance indexes are developed based on comparisons of multiple measures of resources, service activities, and client outcomes. These are used to test various hypotheses regarding the effect of organizational and fiscal variables on partial care program efficiency and effectiveness. The four issues explored are: auspices, organizational complexity, service mix, and fiscal control by the state. These were found to explain about half of the variance in program performance. In addition, partial care programs demonstrating midlevel performance with regard to productivity and efficiency were observed to be the most effective, implying a possible optimal level of efficiency at which effectiveness is maximized.
authors.affiliation: Wharton School, University of Pennsylvania, Philadelphia 19104-6197.
authors.forename: A P
authors.initials: AP
authors.lastname: Schinnar
authors.forename: E
authors.initials: E
authors.lastname: Kamis-Gould
authors.forename: N
authors.initials: N
authors.lastname: Delucia
authors.forename: A B
authors.initials: AB
authors.lastname: Rothbard
mesh_terms: D000293:Adolescent; D000328:Adult; D003156:Community Mental Health Services / Q000458:organization & administration* / Q000706:statistics & numerical data; D003362:Cost-Benefit Analysis; D003631:Day Care, Medical / Q000458:organization & administration* / Q000706:statistics & numerical data; D004526:Efficiency; D005376:Financial Management / Q000592:standards; D006801:Humans; D008875:Middle Aged; D009515:New Jersey; D015397:Program Evaluation; D012044:Regression Analysis