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. 2018 Jan;34(2):205-211.
doi: 10.1017/S0266462318000119. Epub 2018 Apr 16.

TOWARD A CONTINGENCY MODEL FOR HOSPITAL-BASED HEALTH TECHNOLOGY ASSESSMENT: EVIDENCE FROM ADHOPHTA PROJECT

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TOWARD A CONTINGENCY MODEL FOR HOSPITAL-BASED HEALTH TECHNOLOGY ASSESSMENT: EVIDENCE FROM ADHOPHTA PROJECT

Americo Cicchetti et al. Int J Technol Assess Health Care. 2018 Jan.

Abstract

Objectives: Hospital-based health technology assessment (HB-HTA) is becoming increasingly relevant because of its role in managing the introduction and withdrawal of health technologies. The organizational arrangement in which HB-HTA activities are conducted depends on several contextual factors, although the dominant models have several similarities. The aims of this study were to explore, describe, interpret, and explain seven cases of the application of HB-HTA logic and to propose a classification for HB-HTA organizational models which may be beneficial for policy makers and HTA professionals.

Methods: The study was part of the AdHopHTA Project, granted under the European 7th Framework Research Programme. A case study methodology was applied to analyze seven HB-HTA initiatives in seven countries, with collection of qualitative and quantitative data. Cross-case analysis was performed within the framework of contingent organizational theory.

Results: Evidence showed that some organizational or "structural" variables, namely the level of procedure formalization/structuration and the level of integration with other HTA bodies at the national, regional, and provincial levels, predominantly shape the HB-HTA approach, determining a contingency model of HB-HTA. Crossing the two variables, four options have emerged: integrated specialized HTA unit, stand-alone HTA unit, integrated-essential HTA, independent group unit.

Conclusions: No one-best-way approach can be used for HTA at the hospital level. Rather, the characteristics of HTA models depend on many contextual factors. Such conceptualization may aid the diffusion of HB-HTA to inform managerial decision making and clinical practice.

Keywords: Biomedical [N03.880]; Hospitals [N02.278.421]; Organizational case studies [N03.349.380.710]; Organizations [N03.540]; Technology assessment.

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