ArticleGlobal health action2018
Blended SORT-IT for operational research capacity building: the model, its successes and challenges.
Article in Global health action, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.
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
7 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Virtual Health Research Capacity Strengthening in Low- and Middle‑Income Countries: A Systematic Integrative Review.Annals of global health · 2025Pooled it
- Designing an operational research TB training program in Zambia.Public health action · 2024Article
- Capacity building in operational research on obstetric fistula: Experience in the Democratic Republic of Congo, 2017-2021.International journal of gynaecology and obstetrics: the official organ of the International Federation of Gynaecology and Obstetrics · 2023Article
- Strengthening research capacity through an intensive training program for biomedical investigators from low- and middle-income countries: the Vanderbilt Institute for Research Development and Ethics (VIRDE).BMC medical education · 2022Article
- Research capacity training for surveillance and response in the Indo-Pacific: a case study of implementation.Public health action · 2021Article
- A qualitative evaluation of an operational research course for acute care trainees in Kigali, Rwanda.The Pan African medical journal · 2021Article
- Training through malaria research: building capacity in good clinical and laboratory practice in Liberia.Malaria journal · 2019Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
12 authors.
Funding
Abstract
The Structured Operational Research Training Initiative (SORT-IT) has been shown to be very effective in strengthening capacity for conducting operational research, publishing in scientific journals and fostering policy and practice change. The 'classic' model includes three face-to-face modules during which, respectively, a study protocol, a data analysis plan, and a manuscript are elaborated. Meanwhile, the lectures of the SORT-IT are available online as YouTube videos. Given the availability of this online material and the experiences with online mentorship of the faculty, we piloted a first blended distance/residential SORT-IT. To inform future implementers of our experience with blended operational research courses, we summarize the model, successes, and challenges of this approach in this perspective paper. The blended SORT-IT consisted of an online phase, covering modules 1 and 2, followed by a face-to-face writing module 3. Four out of six participants successfully completed the course, and submitted a manuscript to a peer-reviewed journal within four weeks of completing module 3. A blended approach may make the SORT-IT course more accessible to future participants and may favour the adoption of the course by other institutions, such as national Ministries of Health.
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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.