Integrated Knowledge Translation with Public Health Policy Makers: A Scoping Review

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.

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Effectiveness of Technology-Enabled Knowledge Translation Strategies in Improving the Use of Research in Public Health: Systematic Review

Journal of Medical Internet Research ◽

10.2196/17274 ◽

2020 ◽

Vol 22 (7) ◽

pp. e17274

Author(s):

Alison Brown ◽

Courtney Barnes ◽

Judith Byaruhanga ◽

Matthew McLaughlin ◽

Rebecca K Hodder ◽

...

Keyword(s):

Public Health ◽

Decision Making ◽

Health Policy ◽

Knowledge Translation ◽

Health Outcomes ◽

Health Professionals ◽

Public Health Policy ◽

Randomized Trials ◽

Policy Makers ◽

Or Practice

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.

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Breaking the back of love: attachment goes neuro-molecular

Reassessing Attachment Theory in Child Welfare ◽

10.1332/policypress/9781447336914.003.0006 ◽

2019 ◽

pp. 107-122

Author(s):

Sue White ◽

Matthew Gibson ◽

David Wastell ◽

Patricia Walsh

Keyword(s):

Public Health ◽

Health Policy ◽

Attachment Theory ◽

Public Health Policy ◽

Evolutionary Biology ◽

Childhood Experiences ◽

Policy Makers ◽

Developmental Neuroscience ◽

Adverse Childhood ◽

New Generation

This chapter explores how attachment theory is increasingly going ‘under the skin’, looking for fundamental biological mechanisms to explain behaviours and consequences. Attachment scholars and researchers have sought new alignments with developments in evolutionary biology and developmental neuroscience. All these domains — despite inconsistent findings, thorny issues relating to extrapolations from animal work, and problems with replication — are purported to provide further support for attachment theory's veracity. In addition, they dangle the tantalising prospects of better targeting of interventions and more efficacious clinical approaches to fixing the effects of disrupted attachments, including some normative and sensitive matters such as the onset of puberty, and what are somewhat euphemistically called ‘reproductive strategies’, often meaning girls having babies too early. This ‘new generation’ of biological reasoning looks to the molecular level to explain health inequalities, with the prevention of adverse childhood experiences on the ‘to do’ list for public health policy makers. This has profound potential implications for child welfare practices.

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