ArticleHealth research policy and systems2017
Assessing the capacity of ministries of health to use research in decision-making: conceptual framework and tool.
Article in Health research policy and systems, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.
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Who cites it
15 citing papers in PubMed, 1 synthesis or guideline pooled it.
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- Barriers and facilitators to the institutionalization and sustainability of knowledge translation platforms in the eastern Mediterranean: a scoping review.Health research policy and systems · 2025Article
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- Visualizing the drivers of an effective health workforce: a detailed, interactive logic model.Human resources for health · 2021Article
- Challenges and facilitators to evidence-based decision-making for maternal and child health in Mozambique: district, municipal and national case studies.BMC health services research · 2020Article
- What do we need to know? Data sources to support evidence-based decisions using health technology assessment in Ghana.Health research policy and systems · 2020Article
- Leveraging data visualization to improve the use of data for global health decision-making.Journal of global health · 2019Review
- A conceptual framework for capacity strengthening of health research in conflict: the case of the Middle East and North Africa region.Globalization and health · 2019Article
- Exploring the system capacity to meet occupational health and safety needs: the case of the ready-made garment industry in Bangladesh.BMC health services research · 2019Article
- Integrating noncommunicable disease services into primary health care, Botswana.Bulletin of the World Health Organization · 2019Article
- Data-informed decision-making for life-saving commodities investments in Malawi: A qualitative case study.Malawi medical journal : the journal of Medical Association of Malawi · 2018Article
Corrections and comments
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Authors and funding
12 authors.
Funding
Abstract
backgroundThe capacity to demand and use research is critical for governments if they are to develop policies that are informed by evidence. Existing tools designed to assess how government officials use evidence in decision-making have significant limitations for low- and middle-income countries (LMICs); they are rarely tested in LMICs and focus only on individual capacity. This paper introduces an instrument that was developed to assess Ministry of Health (MoH) capacity to demand and use research evidence for decision-making, which was tested for reliability and validity in eight LMICs (Bangladesh, Fiji, India, Lebanon, Moldova, Pakistan, South Africa, Zambia).
methodsInstrument development was based on a new conceptual framework that addresses individual, organisational and systems capacities, and items were drawn from existing instruments and a literature review. After initial item development and pre-testing to address face validity and item phrasing, the instrument was reduced to 54 items for further validation and item reduction. In-country study teams interviewed a systematic sample of 203 MoH officials. Exploratory factor analysis was used in addition to standard reliability and validity measures to further assess the items.
resultsThirty items divided between two factors representing organisational and individual capacity constructs were identified. South Africa and Zambia demonstrated the highest level of organisational capacity to use research, whereas Pakistan and Bangladesh were the lowest two. In contrast, individual capacity was highest in Pakistan, followed by South Africa, whereas Bangladesh and Lebanon were the lowest.
conclusionThe framework and related instrument represent a new opportunity for MoHs to identify ways to understand and improve capacities to incorporate research evidence in decision-making, as well as to provide a basis for tracking change.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.