Evidence map›Paper›PMID 27505253›Full record

ArticlePloS one2016

Building Global Capacity for Conducting Operational Research Using the SORT IT Model: Where and Who?

Rony Zachariah, Stefanie Rust, Selma Dar Berger, Nathalie Guillerm, Karen Bissell, Paul Delaunois, Anthony J Reid, Ajay M V Kumar, Piero L Olliaro, John C Reeder and 2 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed, 2 pooled it
3.6field-weighted citation impact, top 7% of its field
1 · What the graph read from 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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

31 citing papers in PubMed, 2 syntheses or guidelines pooled it, 40 citations in OpenAlex.

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  6. 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 · 2023
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  7. Revista panamericana de salud publica = Pan American journal of public health · 2023
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors at 6 institutions in 6 countries.

Rony ZachariahMédecins Sans Frontières, Medical Department, Brussels Operational Centre, MSF-Luxembourg, Luxembourg.
Stefanie RustKNCV, Tuberculosis Foundation, The Hague, Netherlands.
Selma Dar BergerInternational Union Against Tuberculosis and Lung Disease, Paris, France.
Nathalie GuillermInternational Union Against Tuberculosis and Lung Disease, Paris, France.
Karen BissellInternational Union Against Tuberculosis and Lung Disease, Paris, France.
Paul DelaunoisMédecins Sans Frontières, Medical Department, Brussels Operational Centre, MSF-Luxembourg, Luxembourg.
Anthony J ReidMédecins Sans Frontières, Medical Department, Brussels Operational Centre, MSF-Luxembourg, Luxembourg.
Ajay M V KumarInternational Union Against Tuberculosis and Lung Disease, Paris, France.
Piero L OlliaroSpecial Programme for Research and Training in Tropical Diseases (TDR), World Health Organization, Geneva, Switzerland.
John C ReederSpecial Programme for Research and Training in Tropical Diseases (TDR), World Health Organization, Geneva, Switzerland.
Anthony D HarriesInternational Union Against Tuberculosis and Lung Disease, Paris, France.
Andrew RamsaySpecial Programme for Research and Training in Tropical Diseases (TDR), World Health Organization, Geneva, Switzerland.
International Union Against Tuberculosis and Lung Disease · FRMédecins Sans Frontières · LUWorld Health Organization · CHLondon School of Hygiene & Tropical Medicine · GBTuBerculosis Vaccine Initiative · NLUniversity of St Andrews · GB

Funding

World Health Organization 001
6 · The paper itself

Abstract

settingResearch capacity is weakest in low and middle-income countries (LMICs) where operational research is highly relevant and needed. Structured Operational Research and Training Initiative (SORT IT) courses have been developed to train participants to conduct and publish operational research and influence policy and practice. Twenty courses were completed in Asia, Africa, Europe and the South Pacific between 2009 and 2014.

objectivesIn the 20 completed SORT IT courses, to assess where the research was conducted, who was trained, who became facilitators in subsequent courses and course outcomes.

designA cohort study of completed SORT IT courses.

resultsThere were 236 participants (41% female) including 64 nationalities who conducted research in 59 countries, mostly from Asia and Africa (mean course duration = 9.7 months). Most participants (68%) were from government health programs and non-governmental agencies. A total of 213(90%) participants completed all milestones successfully with 41(19%) becoming subsequent course facilitators, 88% of whom were from LMICs. Of 228 manuscripts submitted to scientific journals, 197(86%) were either published or in press; in 86%, the principal investigator (first author) was a LMIC national. Papers were published in 23 scientific journals (impact factor 0.5-4.4) and covered 21 disease categories (median publication time = 5.7 months). Published papers (186) had 94,794 cumulative article views/downloads. Article views/downloads for immediate open access articles were double those from closed access journals.

conclusionThe SORT IT model has been effective in training personnel to produce relevant operational research in LMICs. It merits continued commitment and support for further scale-up and development.

Indexed as

InternationalityModels, StatisticalAdultAgedCapacity BuildingDemographyFemaleHumansInternetMaleMiddle AgedPublicationsResearch

Identifiers

PMID27505253
PMCPMC4978462
OpenAlexW2476147630

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.