Literature DB >> 28124969

INFLUENCE OF HEALTH TECHNOLOGY ASSESSMENT AND ITS MEASUREMENT.

David Hailey1, Sophie Werkö2, Måns Rosén2, Karen Macpherson3, Susan Myles3, Verónica Gallegos Rivero4, Cecilia Hipólito-Olivares4, Sinikka Sihvo5, Jasmine Pwu6, Wen-Wen Yang6, Yong-Chen Chen6, Ana Perez Galán7, Alicia Aleman7, Elena Villamil7.   

Abstract

OBJECTIVES: The aim of this study was to obtain information on methods used to measure health technology assessment (HTA) influence, decisions that were influenced, and outcomes linked to HTA.
METHODS: Electronic databases were used to locate studies in which HTA influence had been demonstrated. Inclusion criteria were studies that reliably reported consideration by decision makers of HTA findings; comparative studies of technology use before and after HTA; and details of changes in policy, health outcomes, or research that could be credibly linked to an HTA.
RESULTS: Fifty-one studies were selected for review. Settings were national (24), regional (12), both national and regional (3) hospitals (9), and multinational (3). The most common approach to appraisal of influence was review of policy or administrative decisions following HTA recommendations (51 percent). Eighteen studies (35 percent) reported interview or survey findings, thirteen (26 percent) reviewed administrative data, and six considered the influence of primary studies. Of 142 decisions informed by HTA, the most common types were on routine clinical practice (67 percent of studies), coverage (63 percent), and program operation (37 percent). The most frequent indications of HTA influence were on decisions related to resource allocation (59 percent), change in practice pattern (31 percent), and incorporation of HTA details in reference material (18 percent). Few publications assessed the contribution of HTA to changing patient outcomes.
CONCLUSIONS: The literature on HTA influence remains limited, with little on longer term effects on practice and outcomes. The reviewed publications indicated how HTA is being used in different settings and approaches to measuring its influence that might be more widely applied, such as surveys and monitoring administrative data.

Entities:  

Keywords:  Decision making; Health technology assessment; Impact; Influence

Mesh:

Year:  2016        PMID: 28124969     DOI: 10.1017/S0266462316000611

Source DB:  PubMed          Journal:  Int J Technol Assess Health Care        ISSN: 0266-4623            Impact factor:   2.188


  3 in total

1.  Co-construction of health technology assessment recommendations with patients: An example with cardiac defibrillator replacement.

Authors:  Marie-Pascale Pomey; Philippe Brouillard; Isabelle Ganache; Laurie Lambert; Lucy Boothroyd; Caroline Collette; Sylvain Bédard; Alexandre Grégoire; Sandra Pelaez; Olivier Demers-Payette; Mireille Goetghebeur; Michèle de Guise; Denis Roy
Journal:  Health Expect       Date:  2019-11-05       Impact factor: 3.377

2.  Landscape analysis of health technology assessment (HTA): systems and practices in Asia.

Authors:  Yot Teerawattananon; Waranya Rattanavipapong; Lydia Wenxin Lin; Saudamini Vishwanath Dabak; Brent Gibbons; Wanrudee Isaranuwatchai; Kai Yee Toh; Boon Piang Cher; Fiona Pearce; Diana Beatriz S Bayani; Ryota Nakamura; Raoh-Fang Pwu; Asrul Akmal Shafie; Deepika Adhikari; Shankar Prinja; Wendy Babidge
Journal:  Int J Technol Assess Health Care       Date:  2019-10-09       Impact factor: 2.188

3.  Expectations for the Development of Health Technology Assessment in Brazil.

Authors:  Julia Simões Corrêa Galendi; Carlos Antonio Caramori; Clarissa Lemmen; Dirk Müller; Stephanie Stock
Journal:  Int J Environ Res Public Health       Date:  2021-11-13       Impact factor: 3.390

  3 in total

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