Browsing by Subject "Knowledge translation"

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    Open Access
    Evidence map of knowledge translation strategies, outcomes, facilitators and barriers in African health systems
    (BioMed Central, 2019-02-07) Edwards, Amanda; Zweigenthal, Virginia; Olivier, Jill
    Abstract Background The need for research-based knowledge to inform health policy formulation and implementation is a chronic global concern impacting health systems functioning and impeding the provision of quality healthcare for all. This paper provides a systematic overview of the literature on knowledge translation (KT) strategies employed by health system researchers and policy-makers in African countries. Methods Evidence mapping methodology was adapted from the social and health sciences literature and used to generate a schema of KT strategies, outcomes, facilitators and barriers. Four reference databases were searched using defined criteria. Studies were screened and a searchable database containing 62 eligible studies was compiled using Microsoft Access. Frequency and thematic analysis were used to report study characteristics and to establish the final evidence map. Focus was placed on KT in policy formulation processes in order to better manage the diversity of available literature. Results The KT literature in African countries is widely distributed, problematically diverse and growing. Significant disparities exist between reports on KT in different countries, and there are many settings without published evidence of local KT characteristics. Commonly reported KT strategies include policy briefs, capacity-building workshops and policy dialogues. Barriers affecting researchers and policy-makers include insufficient skills and capacity to conduct KT activities, time constraints and a lack of resources. Availability of quality locally relevant research was the most reported facilitator. Limited KT outcomes reflect persisting difficulties in outcome identification and reporting. Conclusion This study has identified substantial geographical gaps in knowledge and evidenced the need to boost local research capacities on KT practices in low- and middle-income countries. Evidence mapping is also shown to be a useful approach that can assist local decision-making to enhance KT in policy and practice.
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    Open Access
    Stakeholder analysis of the Programme for Improving Mental health carE (PRIME): baseline findings
    (BioMed Central Ltd, 2015) Makan, Amit; Fekadu, Abebaw; Murhar, Vaibhav; Luitel, Nagendra; Kathree, Tasneem; Ssebunya, Joshua; Lund, Crick
    BACKGROUND: The knowledge generated from evidence-based interventions in mental health systems research is seldom translated into policy and practice in low and middle-income countries (LMIC). Stakeholder analysis is a potentially useful tool in health policy and systems research to improve understanding of policy stakeholders and increase the likelihood of knowledge translation into policy and practice. The aim of this study was to conduct stakeholder analyses in the five countries participating in the Programme for Improving Mental health carE (PRIME); evaluate a template used for cross-country comparison of stakeholder analyses; and assess the utility of stakeholder analysis for future use in mental health policy and systems research in LMIC. METHODS: Using an adapted stakeholder analysis instrument, PRIME country teams in Ethiopia, India, Nepal, South Africa and Uganda identified and characterised stakeholders in relation to the proposed action: scaling-up mental health services. Qualitative content analysis was conducted for stakeholder groups across countries, and a force field analysis was applied to the data. RESULTS: Stakeholder analysis of PRIME has identified policy makers (WHO, Ministries of Health, non-health sector Ministries and Parliament), donors (DFID UK, DFID country offices and other donor agencies), mental health specialists, the media (national and district) and universities as the most powerful, and most supportive actors for scaling up mental health care in the respective PRIME countries. Force field analysis provided a means of evaluating cross-country stakeholder power and positions, particularly for prioritising potential stakeholder engagement in the programme. CONCLUSION: Stakeholder analysis has been helpful as a research uptake management tool to identify targeted and acceptable strategies for stimulating the demand for research amongst knowledge users, including policymakers and practitioners. Implementing these strategies amongst stakeholders at a country level will hopefully reduce the knowledge gap between research and policy, and improve health system outcomes for the programme.