Achieving optimal technology use: A proposed model for health technology reassessment.
SAGE Open Med
; 5: 2050312117704861, 2017.
Article
em En
| MEDLINE
| ID: mdl-28491310
BACKGROUND: Healthcare providers, managers and policy-makers in many jurisdictions are focused on a common goal: optimizing value and quality of care provided to their citizens within a resource envelope. Health technology reassessment is a structured, evidence-based assessment of the clinical, social, ethical and economic effects of a technology currently used in the healthcare system to inform optimal use of that technology in comparison with its alternatives. There are, however, few practical experiences with health technology reassessment and, as such, a nascent theoretical and methodological base. Health technology reassessment is a key strategy to achieve optimal healthcare resource utilization, and establishing a model for health technology reassessment is a required methodological step. METHODS AND RESULTS: The purpose of this article is to answer three formative questions: (1) What is health technology reassessment? (2) When should a health technology reassessment be implemented? (3) What is the role of health technology reassessment in evidence-informed health policy? Finally, we propose a conceptual framework for health technology reassessment, which others can modify, adapt, or adopt in their own context. The model consists of three broad phases and six iterative stages: (1) identification, (2) prioritization, (3) evidence synthesis, (4) determine policy/practice recommendation, (5) policy/practice implementation and (6) monitoring and evaluation. Two foundational components (meaningful stakeholder engagement and ongoing knowledge exchange and utilization) are represented across all stages. CONCLUSION: This description of health technology reassessment and the proposed model can be used by healthcare policy-makers and researchers to advance the field of technology management, with the goal of achieving optimal use throughout a technology's lifecycle.
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Base de dados:
MEDLINE
Tipo de estudo:
Guideline
/
Health_technology_assessment
Idioma:
En
Ano de publicação:
2017
Tipo de documento:
Article