AIM: The prevention of mental disorders is a growing field and there are interventions that have been demonstrated to prevent some disorders, particularly depression, from developing. The aim of the current study is to update two existing reviews of the cost-effectiveness studies of preventive interventions for mental disorders in order to determine whether such interventions are good value-for-money. METHODS: A search was undertaken in Medline, PsycInfo and Econlit. The search was limited to articles published in English covering the period from 2010 to September 2013. Inclusion criteria for the review comprised comparative economic evaluations of interventions designed to prevent mental disorders. RESULTS: Ten new economic evaluations have been published since 2010, more than doubling the numbers of economic evaluations of preventive interventions for mental disorders published prior to 2010. Using the Consolidated Health Economic Evaluation Reporting Standards (CHEERS) checklist, the majority of studies were of a good standard and used cost-utility frameworks. CONCLUSIONS: Indicated types of interventions for the prevention of depression and anxiety appeared to be particularly good value-for-money and most of these studies were modelled evaluations. Unfortunately, many such interventions are still not routinely provided. Future trials of preventive interventions for mental disorders need to include robust economic evaluations so that the economic impact of such interventions from the individual study participant perspective can be determined.
AIM: The prevention of mental disorders is a growing field and there are interventions that have been demonstrated to prevent some disorders, particularly depression, from developing. The aim of the current study is to update two existing reviews of the cost-effectiveness studies of preventive interventions for mental disorders in order to determine whether such interventions are good value-for-money. METHODS: A search was undertaken in Medline, PsycInfo and Econlit. The search was limited to articles published in English covering the period from 2010 to September 2013. Inclusion criteria for the review comprised comparative economic evaluations of interventions designed to prevent mental disorders. RESULTS: Ten new economic evaluations have been published since 2010, more than doubling the numbers of economic evaluations of preventive interventions for mental disorders published prior to 2010. Using the Consolidated Health Economic Evaluation Reporting Standards (CHEERS) checklist, the majority of studies were of a good standard and used cost-utility frameworks. CONCLUSIONS: Indicated types of interventions for the prevention of depression and anxiety appeared to be particularly good value-for-money and most of these studies were modelled evaluations. Unfortunately, many such interventions are still not routinely provided. Future trials of preventive interventions for mental disorders need to include robust economic evaluations so that the economic impact of such interventions from the individual study participant perspective can be determined.
Authors: Y Y Lee; J J Barendregt; E A Stockings; A J Ferrari; H A Whiteford; G A Patton; C Mihalopoulos Journal: Epidemiol Psychiatr Sci Date: 2016-08-11 Impact factor: 6.892
Authors: Anna Fernández; Juan M Mendive; Sonia Conejo-Cerón; Patricia Moreno-Peral; Michael King; Irwin Nazareth; Carlos Martín-Pérez; Carmen Fernández-Alonso; Antonina Rodríguez-Bayón; Jose Maria Aiarzaguena; Carmen Montón-Franco; Antoni Serrano-Blanco; Inmaculada Ibañez-Casas; Emiliano Rodríguez-Sánchez; Luis Salvador-Carulla; Paola Bully Garay; María Isabel Ballesta-Rodríguez; Pilar LaFuente; María Del Mar Muñoz-García; Pilar Mínguez-Gonzalo; Luz Araujo; Diego Palao; María Cruz Gómez; Fernando Zubiaga; Desirée Navas-Campaña; Jose Manuel Aranda-Regules; Alberto Rodriguez-Morejón; Juan de Dios Luna; Juan Ángel Bellón Journal: BMC Med Date: 2018-02-23 Impact factor: 8.775
Authors: Gerhard Müller; Manuela Pfinder; Christian Schmahl; Martin Bohus; Lisa Lyssenko Journal: BMC Public Health Date: 2019-10-17 Impact factor: 3.295