- Title
- Effectiveness of technology-enabled knowledge translation strategies in improving the use of research in public health: systematic review
- Creator
- Brown, Alison; Barnes, Courtney; Byaruhanga, Judith; McLaughlin, Matthew; Hodder, Rebecca K.; Booth, Debbie; Nathan, Nicole; Sutherland, Rachel; Wolfenden, Luke
- Relation
- NHMRC
- Relation
- Journal of Medical Internet Research Vol. 22, Issue 7, no. e17274
- Publisher Link
- http://dx.doi.org/10.2196/17274
- Publisher
- Journal of Medical Internet Resesarch
- Resource Type
- journal article
- Date
- 2020
- Description
- Background: Knowledge translation (KT) aims to facilitate the use of research evidence in decision making. Changes in technology have provided considerable opportunities for KT strategies to improve access and use of evidence in decision making by public health policy makers and practitioners. Despite this opportunity, there have been no reviews that have assessed the effects of digital technology-enabled KT (TEKT) in the field of public health. Objective: This study aims to examine the effectiveness of digital TEKT strategies in (1) improving the capacity for evidence-based decision making by public health policy makers and practitioners, (2) changing public health policy or practice, and (3) changes in individual or population health outcomes. Methods: A search strategy was developed to identify randomized trials assessing the effectiveness of digital TEKT strategies in public health. Any primary research study with a randomized trial design was eligible. Searches for eligible studies were undertaken in multiple electronic bibliographic databases (Medical Literature Analysis and Retrieval System Online [MEDLINE], Excerpta Medica dataBASE [EMBASE], PsycINFO, Cumulative Index to Nursing and Allied Health Literature [CINAHL], and Scopus) and the reference lists of included studies. A hand search of 2 journals (Implementation Science and Journal of Medical Internet Research) and a gray literature search were also conducted. Pairs of independent review authors screened studies, assessed the risk of bias, and extracted data from relevant studies. Results: Of the 6819 citations screened, 8 eligible randomized trials were included in the review. The studies examined the impact of digital TEKT strategies on health professionals, including nurses, child care health consultants, physiotherapists, primary health care workers, and public health practitioners. Overall, 5 of the interventions were web-training programs. The remaining 3 interventions included simulation games, access to digital resource materials and the use of tailored messaging, and a web-based registry. The findings suggest that digital TEKT interventions may be effective in improving the knowledge of public health professionals, relative to control, and may be as effective as a face-to-face KT approach. The effectiveness of digital TEKT strategies relative to a control or other digital KT interventions on measures of health professional self-efficacy to use evidence to enhance practice behavior or behavioral intention outcomes was mixed. The evidence regarding the effects on changes to health policy or practice following exposure to digital TEKT was mixed. No trials assessed the effects on individual or population-level health outcomes. Conclusions: This review is the first to synthesize the effectiveness of digital TEKT interventions in a public health setting. Despite its potential, relatively few trials have been undertaken to investigate the impacts of digital TEKT interventions. The findings suggest that although a digital TEKT intervention may improve knowledge, the effects of such interventions on other outcomes are equivocal.
- Subject
- knowledge translation; public health; SDG 3; Sustainable Development Goals
- Identifier
- http://hdl.handle.net/1959.13/1455221
- Identifier
- uon:45060
- Identifier
- ISSN:1438-8871
- Rights
- ©Alison Brown, Courtney Barnes, Judith Byaruhanga, Matthew McLaughlin, Rebecca K Hodder, Debbie Booth, Nicole Nathan, Rachel Sutherland, Luke Wolfenden. Originally published in the Journal of Medical Internet Research (http://www.jmir.org), 31.07.2020. This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in the Journal of Medical Internet Research, is properly cited. The complete bibliographic information, a link to the original publication on http://www.jmir.org/, as well as this copyright and license information must be included.
- Language
- eng
- Full Text
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Goal 3: Good Health and Well-Being
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