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Titolo:
Using health production functions to evaluate treatment effectiveness: An application to a community mental health service
Autore:
Healey, A; Mirandola, M; Amaddeo, F; Bonizzato, P; Tansella, M;
Indirizzi:
Univ Kent, Canterbury, Kent, England Univ Kent Canterbury Kent EnglandUniv Kent, Canterbury, Kent, England Univ London London Sch Econ & Polit Sci, Dept Social Policy, PSSRU, LondonWC2A 2AE, England Univ London London Sch Econ & Polit Sci London England WC2A 2AE England Univ Verona, Dept Med & Publ Hlth, Sect Psychiat, I-37100 Verona, Italy Univ Verona Verona Italy I-37100 h, Sect Psychiat, I-37100 Verona, Italy
Titolo Testata:
HEALTH ECONOMICS
fascicolo: 5, volume: 9, anno: 2000,
pagine: 373 - 383
SICI:
1057-9230(200007)9:5<373:UHPFTE>2.0.ZU;2-7
Fonte:
ISI
Lingua:
ENG
Soggetto:
COST-EFFECTIVENESS; GLOBAL ASSESSMENT; CARE; DEMAND; SCALE;
Keywords:
health production function; patient outcomes; panel data; community mental health services;
Tipo documento:
Article
Natura:
Periodico
Settore Disciplinare:
Social & Behavioral Sciences
Clinical Medicine
Citazioni:
21
Recensione:
Indirizzi per estratti:
Indirizzo: Healey, A Univ London London Sch Econ & Polit Sci, Dept Social Policy, PSSRU, Houghton St, London WC2A 2AE, England Univ London London Sch Econ & Polit Sci Houghton St London England WC2A 2AE
Citazione:
A. Healey et al., "Using health production functions to evaluate treatment effectiveness: An application to a community mental health service", HEALTH ECON, 9(5), 2000, pp. 373-383

Abstract

The randomized controlled trial (RCT) is the recommended means of evaluating health care effectiveness and cost-effectiveness. Whilst representing a 'gold-standard' in health services research, RCT evidence on the clinical and economic desirability of services and treatments is often absent. Where RCT evidence is lacking, or where it is infeasible to implement randomized controlled comparisons, longitudinal observational and naturalistic data sources when analysed appropriately can yield useful insights regarding the clinical effectiveness and economic efficiency of treatments. In this paper we demonstrate the utility of applying panel estimation methods to data from an Italian psychiatric case register as a means of modelling the mental health outcomes of patients referred to a community-based mental health service. Emphasis is placed on quantifying the clinical effectiveness of consultations with different mental health professionals (including in-patient days) and whether service outcomes are affected by psychiatric diagnosis. Theimpact of service consultations and their interaction with different typesof psychiatric diagnosis on a measure of patient mental health are found to be statistically significant, although the size of these effects are not substantial from a clinical perspective. Copyright (C) 2000 John Wiley & Sons, Ltd.

ASDD Area Sistemi Dipartimentali e Documentali, Università di Bologna, Catalogo delle riviste ed altri periodici
Documento generato il 06/04/20 alle ore 21:52:15