title: INFLUENCE OF HEALTH TECHNOLOGY ASSESSMENT AND ITS MEASUREMENT.
abstract: OBJECTIVE
  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.
authors.affiliation: University of Wollongong and Australian Safety and Efficacy Register of New Interventional Procedures-Surgicaldhailey@ozemail.com.au.
authors.forename: David
authors.initials: D
authors.lastname: Hailey
authors.affiliation: Swedish Council on Technology Assessment in Health Care.
authors.forename: Sophie
authors.initials: S
authors.lastname: Werkö
authors.affiliation: Swedish Council on Technology Assessment in Health Care.
authors.forename: Måns
authors.initials: M
authors.lastname: Rosén
authors.affiliation: Healthcare Improvement Scotland.
authors.forename: Karen
authors.initials: K
authors.lastname: Macpherson
authors.affiliation: Healthcare Improvement Scotland.
authors.forename: Susan
authors.initials: S
authors.lastname: Myles
authors.affiliation: Centro Nacional de Excelencia Tecnologica en Salud.
authors.forename: Verónica
authors.initials: V
authors.lastname: Gallegos Rivero
authors.affiliation: Centro Nacional de Excelencia Tecnologica en Salud.
authors.forename: Cecilia
authors.initials: C
authors.lastname: Hipólito-Olivares
authors.affiliation: Finnish Office for Health Technology Assessment.
authors.forename: Sinikka
authors.initials: S
authors.lastname: Sihvo
authors.affiliation: Center for Drug Evaluation,Taiwan.
authors.forename: Jasmine
authors.initials: J
authors.lastname: Pwu
authors.affiliation: Center for Drug Evaluation,Taiwan.
authors.forename: Wen-Wen
authors.initials: WW
authors.lastname: Yang
authors.affiliation: Center for Drug Evaluation,Taiwan.
authors.forename: Yong-Chen
authors.initials: YC
authors.lastname: Chen
authors.affiliation: Ministry of Public Health,Uruguay.
authors.forename: Ana
authors.initials: A
authors.lastname: Perez Galán
authors.affiliation: Ministry of Public Health,Uruguay.
authors.forename: Alicia
authors.initials: A
authors.lastname: Aleman
authors.affiliation: Ministry of Public Health,Uruguay.
authors.forename: Elena
authors.initials: E
authors.lastname: Villamil
mesh_terms: D003657:Decision Making; D006801:Humans; D033181:Information Dissemination; D012107:Research Design; D013673:Technology Assessment, Biomedical / Q000379:methods*
keywords: Decision making; Health technology assessment; Impact; Influence