ArticlePublic health action2018
Building the capacity of public health programmes to become data rich, information rich and action rich.
Article in Public health action, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
12 citing papers in PubMed.
- Strengthening operational research to complement Global Fund grants for HIV, TB and malaria in Sierra Leone.Public health action · 2026Article
- A 'training of trainers' programme for operational research: increasing capacity remotely.Global health action · 2024Article
- Strengthening the Operational Research Capacity of National Tuberculosis Control Programs: Necessity or Luxury?Tropical medicine and infectious disease · 2023Article
- The Structured Operational Research and Training Initiative for Strengthening Health Systems to Tackle Antimicrobial Resistance and Improve Public Health in Low-and-Middle Income Countries.International journal of environmental research and public health · 2022Article
- Real-Time Operational Research: Case Studies from the Field of Tuberculosis and Lessons Learnt.Tropical medicine and infectious disease · 2021Article
- Health research capacity building of health workers in fragile and conflict-affected settings: a scoping review of challenges, strengths, and recommendations.Health research policy and systems · 2021Article
- Quality, Equity and Utility of Observational Studies during 10 Years of Implementing the Structured Operational Research and Training Initiative in 72 Countries.Tropical medicine and infectious disease · 2020Article
- Nationalizing Operational Research Capacity Building: Necessity or Luxury?Annals of global health · 2020Article
- Investing in Operational Research Capacity Building for Front-Line Health Workers Strengthens Countries' Resilience to Tackling the COVID-19 Pandemic.Tropical medicine and infectious disease · 2020Article
- 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
- Adapting the Structured Operational Research Training Initiative (SORT IT) for high-income countries.Public health action · 2019Article
- Implementation research for strengthening health systems in India.The Indian journal of medical researchArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
Abstract
Good quality, timely data are the cornerstone of health systems, but in many countries these data are not used for evidence-informed decision making and/or for improving public health. The SORT IT (Structured Operational Research and Training Initiative) model has, over 8 years, trained health workers in low- and middle-income countries to use data to answer important public health questions by taking research projects through to completion and publication in national or international journals. The D2P (data to policy) training initiative is relatively new, and it teaches health workers how to apply 'decision analysis' and develop policy briefs for policy makers: this includes description of a problem and the available evidence, quantitative comparisons of policy options that take into account predicted health and economic impacts, and political and feasibility assessments. Policies adopted from evidence-based information generated through the SORT IT and D2P approaches can be evaluated to assess their impact, and the cycle repeated to identify and resolve new public health problems. Ministries of Health could benefit from this twin-training approach to make themselves 'data rich, information rich and action rich', and thereby use routinely collected data in a synergistic manner to improve public health policy making and health care delivery.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.