Using health production functions to evaluate treatment effectiveness: an application to a community mental health service
Andrew Healey,
Massimo Mirandola,
Francesco Amaddeo,
Paola Bonizzato and
Michele Tansella
Health Economics, 2000, vol. 9, issue 5, 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. The impact of service consultations and their interaction with different types of 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 © 2000 John Wiley & Sons, Ltd.
Date: 2000
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (7)
Downloads: (external link)
https://doi.org/10.1002/1099-1050(200007)9:53.0.CO;2-6
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:wly:hlthec:v:9:y:2000:i:5:p:373-383
Access Statistics for this article
Health Economics is currently edited by Alan Maynard, John Hutton and Andrew Jones
More articles in Health Economics from John Wiley & Sons, Ltd.
Bibliographic data for series maintained by Wiley Content Delivery ().