Literature DB >> 28162813

The determinants of medical technology adoption in different decisional systems: A systematic literature review.

Yauheniya Varabyova1, Carl Rudolf Blankart2, Ann Lennarson Greer3, Jonas Schreyögg4.   

Abstract

Studies of determinants of adoption of new medical technology have failed to coalesce into coherent knowledge. A flaw obscuring strong patterns may be a common habit of treating a wide range of health care innovations as a generic technology. We postulate three decisional systems that apply to different medical technologies with distinctive expertise, interest, and authority: medical-individualistic, fiscal-managerial, and strategic-institutional decisional systems. This review aims to examine the determinants of the adoption of medical technologies based on the corresponding decision-making system. We included quantitative and qualitative studies that analyzed factors facilitating or inhibiting the adoption of medical technologies. In total, 65 studies published between 1974 and 2014 met our inclusion criteria. These studies contained 688 occurrences of variables that were used to examine the adoption decisions, and we subsequently condensed these variables to 62 determinants in four main categories: organizational, individual, environmental, and innovation-related. The determinants and their empirical association with adoption were grouped and analyzed by the three decision-making systems. Although we did not identify substantial differences across the decision-making systems in terms of the direction of the determinants' influence on adoption, a clear pattern emerged in terms of the categories of determinants that were targeted in different decision-making systems.
Copyright © 2017 Elsevier B.V. All rights reserved.

Keywords:  Decision-making systems; Determinants; Innovation; Medical technology; Systematic review

Mesh:

Year:  2017        PMID: 28162813     DOI: 10.1016/j.healthpol.2017.01.005

Source DB:  PubMed          Journal:  Health Policy        ISSN: 0168-8510            Impact factor:   2.980


  4 in total

Review 1.  Personalized Medicine Implementation with Non-traditional Data Sources: A Conceptual Framework and Survey of the Literature.

Authors:  Casey Overby Taylor; Peter Tarczy-Hornoch
Journal:  Yearb Med Inform       Date:  2019-08-16

2.  Facilitating the implementation of clinical technology in healthcare: what role does a national agency play?

Authors:  Gill Harvey; Sue Llewellyn; Greg Maniatopoulos; Alan Boyd; Rob Procter
Journal:  BMC Health Serv Res       Date:  2018-05-10       Impact factor: 2.655

3.  Hospital contextual factors affecting the implementation of health technologies: a systematic review.

Authors:  Adriano Grossi; Ilda Hoxhaj; Irene Gabutti; Maria Lucia Specchia; Americo Cicchetti; Stefania Boccia; Chiara de Waure
Journal:  BMC Health Serv Res       Date:  2021-05-01       Impact factor: 2.655

4.  Impact of Guidelines on the Diffusion of Medical Technology: A Case Study of Cardiac Resynchronization Therapy in the UK.

Authors:  Rucha Vadia; Tom Stargardt
Journal:  Appl Health Econ Health Policy       Date:  2020-09-24       Impact factor: 2.561

  4 in total

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