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Accepted for/Published in: Journal of Medical Internet Research

Date Submitted: Mar 2, 2020
Date Accepted: Jun 3, 2020

The final, peer-reviewed published version of this preprint can be found here:

A Conceptual Framework to Study the Implementation of Clinical Decision Support Systems (BEAR): Literature Review and Concept Mapping

Camacho J, Zanoletti-Mannello M, Landis-Lewis Z, Kane-Gill SL, Boyce RD

A Conceptual Framework to Study the Implementation of Clinical Decision Support Systems (BEAR): Literature Review and Concept Mapping

J Med Internet Res 2020;22(8):e18388

DOI: 10.2196/18388

PMID: 32759098

PMCID: 7441385

Warning: This is an author submission that is not peer-reviewed or edited. Preprints - unless they show as "accepted" - should not be relied on to guide clinical practice or health-related behavior and should not be reported in news media as established information.

BEAR, a conceptual framework to study the implementation of clinical decision support systems

  • Jhon Camacho; 
  • Manuela Zanoletti-Mannello; 
  • Zach Landis-Lewis; 
  • Sandra L. Kane-Gill; 
  • Richard D. Boyce

ABSTRACT

Background:

The implementation of clinical decision support systems (CDSS) as an intervention to foster clinical practice change is affected by many factors. Key factors include those associated with behavioral change and also factors associated with the technology acceptance. However, the literature about these subjects is fragmented and originating from two traditionally separated disciplines: Implementation Science and Technology Acceptance.

Objective:

In this article, we propose an integrated framework (BEAR – BEhavior and Acceptance fRamework) that bridges the gap between behavioral change and technology acceptance aspects of the implementation of CDSS.

Methods:

We employed an iterative process to map constructs from four contributing frameworks (TDF - Theoretical Domains Framework, CFIR - Consolidated Framework For Implementation Research, HOT-fit - Human, Organization and Technology-fit, and UTAUT - Unified Theory of Acceptance and Use of Technology) and the findings of six literature reviews, identified through a systematic review of reviews approach.

Results:

The resulting framework comprises 22 domains: Agreement with the decision algorithm; Attitudes; Behavioral Regulation; Beliefs about capabilities; Beliefs about consequences; Contingencies; Demographic characteristics; Effort expectancy; Emotions; Environmental Context and Resources; Goals; Intentions; Intervention characteristics; Knowledge; Memory, Attention and Decision Processes; Patient-health professional relationship; Patient’s preferences; Performance expectancy; Role and Identity; Skills, Ability, Competence; Social influences; and System quality. We demonstrate the use of the framework providing examples from two research projects.

Conclusions:

We propose an integrated framework that bridges the gap between behavioral change and technology acceptance widening the view established by current models.


 Citation

Please cite as:

Camacho J, Zanoletti-Mannello M, Landis-Lewis Z, Kane-Gill SL, Boyce RD

A Conceptual Framework to Study the Implementation of Clinical Decision Support Systems (BEAR): Literature Review and Concept Mapping

J Med Internet Res 2020;22(8):e18388

DOI: 10.2196/18388

PMID: 32759098

PMCID: 7441385

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