Literature DB >> 9794327

The diffusion of an evidence-based disease guidance system for managing stroke.

F Lau1, A Penn, D Wilson, T Noseworthy, D Vincent, S Doze.   

Abstract

This paper describes the diffusion of an evidence-based stroke guidance system (SGS) in a field setting through participatory research. SGS enables physicians to review relevant evidence-based literature, from which patient orders are generated for managing cerebrovascular accident. The paper focuses on the question 'what are the barriers and enablers to adopting SOS?' The research site consisted of eight hospitals within two health regions in Alberta, with 47 physicians as the intended users. The data sources consisted of surveys, education sessions, design feedback, field observations, and usage logs. Preliminary results revealed an initial slow rate of adoption that gradually improved with the influence of clinical champions, more effective communication, sustained education, round-the-clock support and continued system refinement. These initial findings suggest that models of technological diffusion can help us better understand the complexities of changing physician practice behaviors.

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Year:  1998        PMID: 9794327     DOI: 10.1016/s1386-5056(98)00108-7

Source DB:  PubMed          Journal:  Int J Med Inform        ISSN: 1386-5056            Impact factor:   4.046


  3 in total

Review 1.  The impact of electronic health records on time efficiency of physicians and nurses: a systematic review.

Authors:  Lise Poissant; Jennifer Pereira; Robyn Tamblyn; Yuko Kawasumi
Journal:  J Am Med Inform Assoc       Date:  2005-05-19       Impact factor: 4.497

2.  Making sense of health information technology implementation: A qualitative study protocol.

Authors:  Rebecca R Kitzmiller; Ruth A Anderson; Reuben R McDaniel
Journal:  Implement Sci       Date:  2010-11-29       Impact factor: 7.327

3.  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

  3 in total

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