Evidence map›Paper›PMID 28545500›Full record

ArticleBMC public health2017

Strengthening capacity to research the social determinants of health in low- and middle-income countries: lessons from the INTREC programme.

Nicholas Henschke, Anna Mirny, Joke A Haafkens, Heribert Ramroth, Siwi Padmawati, Martin Bangha, Lisa Berkman, Laksono Trisnantoro, Yulia Blomstedt, Heiko Becher and 3 more

Abstract read
In one paragraph

Article in BMC public health, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
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

6 citing papers in PubMed.

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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

13 authors.

Nicholas HenschkeInstitute of Public Health, University of Heidelberg, Heidelberg, Germany. henschke@uni-heidelberg.de.
Anna MirnyHarvard Center for Population and Development Studies, Harvard University, Harvard, USA.
Joke A HaafkensCentre for Social Science and Global Health, University of Amsterdam, Amsterdam, the Netherlands.
Heribert RamrothInstitute of Public Health, University of Heidelberg, Heidelberg, Germany.
Siwi PadmawatiUniversitas Gadjah Mada, Yogyakarta, Indonesia.
Martin BanghaINDEPTH Network, Accra, Ghana.
Lisa BerkmanHarvard Center for Population and Development Studies, Harvard University, Harvard, USA.
Laksono TrisnantoroUniversitas Gadjah Mada, Yogyakarta, Indonesia.
Yulia BlomstedtDepartment of Public Health and Clinical Medicine, Umeå Centre for Global Health Research, Epidemiology and Global Health, Umeå University, Umeå, Sweden.
Heiko BecherInstitute of Public Health, University of Heidelberg, Heidelberg, Germany.
Osman SankohINDEPTH Network, Accra, Ghana.
Peter ByassDepartment of Public Health and Clinical Medicine, Umeå Centre for Global Health Research, Epidemiology and Global Health, Umeå University, Umeå, Sweden.
John KinsmanDepartment of Public Health and Clinical Medicine, Umeå Centre for Global Health Research, Epidemiology and Global Health, Umeå University, Umeå, Sweden.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe INDEPTH Training & Research Centres of Excellence (INTREC) collaboration developed a training programme to strengthen social determinants of health (SDH) research in low- and middle-income countries (LMICs). It was piloted among health- and demographic researchers from 9 countries in Africa and Asia. The programme followed a blended learning approach and was split into three consecutive teaching blocks over a 12-month period: 1) an online course of 7 video lectures and assignments on the theory of SDH research; 2) a 2-week qualitative and quantitative methods workshop; and 3) a 1-week data analysis workshop. This report aims to summarise the student evaluations of the pilot and to suggest key lessons for future approaches to strengthen SDH research capacity in LMICs.

methodsSemi-structured interviews and questionnaires with 24 students from 9 countries in Africa and Asia were used to evaluate each teaching block. Information was collected about the students' motivation and interest in studying SDH, any challenges they faced during the consecutive teaching blocks, and suggestions they had for future courses on SDH.

resultsOf the 24 students who began the programme, 13 (54%) completed all training activities. The students recognised the need for such a course and its potential to improve their skills as health researchers. The main challenges with the online course were time management, prior knowledge and skills required to participate in the course, and the need to get feedback from teaching staff throughout the learning process. All students found the face-to-face workshops to be of high quality and value for their work, because they offered an opportunity to clarify SDH concepts taught during the online course and to gain practical research skills. After the final teaching block, students felt they had improved their data analysis skills and were better able to develop research proposals, scientific manuscripts, and policy briefs.

conclusionsThe INTREC programme has trained a promising cadre of health researchers who live and work in LMICs, which is an essential component of efforts to identify and reduce national and local level health inequities. Time management and technological issues were the greatest challenges, which can inform future attempts to strengthen research capacity on SDH.

Indexed as

Capacity BuildingDeveloping CountriesSocial Determinants of HealthAfricaAsiaHumansPilot ProjectsProgram EvaluationQualitative ResearchResearchStudentsBlended learningCapacity strengtheningEducationResearch methodologySocial determinants of health

Identifiers

PMID28545500
PMCPMC5445299

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.