Massimiliano Orso1, Chiara de Waure2, Iosief Abraha3, Carlo Nicastro4, Francesco Cozzolino3, Paolo Eusebi3, Alessandro Montedori3. 1. Health Planning Service,Regional Health Authority of Umbria,Department of Epidemiologymassi.orso@hotmail.it. 2. Catholic University of the Sacred Heart,Institute of Public Health. 3. Health Planning Service,Regional Health Authority of Umbria,Department of Epidemiology. 4. Perugia Hospital Trust,Directorate Purchasing and Procurement.
Abstract
OBJECTIVES: In the past decade, there has been a growing interest in health technology disinvestment. A disinvestment process should involve all relevant stakeholders to identify and deliver the most effective, safe, and cost-effective healthcare interventions. The aim of the present study was to describe the state of the art of health technology disinvestment around the world and to identify parameters that could be associated with the implementation of disinvestment programs. METHODS: A systematic review of the literature was performed from database inception to November 2014, together with the collection of original data on socio-economic indicators from forty countries. RESULTS: Overall, 1,456 records (1,199 from electronic databases and 257 from other sources) were initially retrieved. After analyzing 172 full text articles, 38 papers describing fifteen disinvestment programs/experiences in eight countries were included. The majority (12/15) of disinvestment programs began after 2006. As expected, these programs were more common in developed countries, 63 percent of which had a Beveridge model healthcare system. The univariate analysis showed that countries with disinvestment programs had a significantly higher level of Human Development Index, Gross Domestic Product per capita, public expenditure on health and social services, life expectancy at birth and a lower level of infant mortality rate, and of perceived corruption. The existence of HTA agencies in the country was a strong predictor (p = .034) for the development of disinvestment programs. CONCLUSIONS: The most significant variables in the univariate analysis were connected by a common factor, potentially related to the overall development stage of the country.
OBJECTIVES: In the past decade, there has been a growing interest in health technology disinvestment. A disinvestment process should involve all relevant stakeholders to identify and deliver the most effective, safe, and cost-effective healthcare interventions. The aim of the present study was to describe the state of the art of health technology disinvestment around the world and to identify parameters that could be associated with the implementation of disinvestment programs. METHODS: A systematic review of the literature was performed from database inception to November 2014, together with the collection of original data on socio-economic indicators from forty countries. RESULTS: Overall, 1,456 records (1,199 from electronic databases and 257 from other sources) were initially retrieved. After analyzing 172 full text articles, 38 papers describing fifteen disinvestment programs/experiences in eight countries were included. The majority (12/15) of disinvestment programs began after 2006. As expected, these programs were more common in developed countries, 63 percent of which had a Beveridge model healthcare system. The univariate analysis showed that countries with disinvestment programs had a significantly higher level of Human Development Index, Gross Domestic Product per capita, public expenditure on health and social services, life expectancy at birth and a lower level of infant mortality rate, and of perceived corruption. The existence of HTA agencies in the country was a strong predictor (p = .034) for the development of disinvestment programs. CONCLUSIONS: The most significant variables in the univariate analysis were connected by a common factor, potentially related to the overall development stage of the country.
Authors: Livia Lovato Pires de Lemos; Augusto Afonso Guerra Júnior; Marisa Santos; Carlos Magliano; Isabela Diniz; Kathiaja Souza; Ramon Gonçalves Pereira; Juliana Alvares; Brian Godman; Marion Bennie; Ivan Ricardo Zimmermann; Vânia Crisitna Canuto Dos Santos; Clarice Alegre Pretramale; Francisco de Assis Acurcio Journal: Pharmacoeconomics Date: 2018-02 Impact factor: 4.981