Evidence map›Paper›PMID 26767182›Full record

ArticlePublic health action2015

Research output after participants complete a Structured Operational Research and Training (SORT IT) course.

N Guillerm, K Tayler-Smith, S Dar Berger, K Bissell, A M V Kumar, A Ramsay, A J Reid, R Zachariah, A D Harries

Abstract read
In one paragraph

Article in Public health action, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 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

9 authors.

N GuillermInternational Union Against Tuberculosis and Lung Disease (The Union), Paris, France.
K Tayler-SmithMedical Department, Médecins Sans Frontières, Operational Centre Brussels, MSF-Luxembourg, Luxembourg.
S Dar BergerInternational Union Against Tuberculosis and Lung Disease (The Union), Paris, France.
K BissellInternational Union Against Tuberculosis and Lung Disease (The Union), Paris, France.
A M V KumarThe Union South-East Asia Regional Office, New Delhi, India.
A RamsaySpecial Programme for Research and Training in Tropical Diseases, World Health Organization, Geneva, Switzerland ; Bute Medical School, University of St Andrews, Fife, Scotland, UK.
A J ReidMedical Department, Médecins Sans Frontières, Operational Centre Brussels, MSF-Luxembourg, Luxembourg.
R ZachariahMedical Department, Médecins Sans Frontières, Operational Centre Brussels, MSF-Luxembourg, Luxembourg.
A D HarriesInternational Union Against Tuberculosis and Lung Disease (The Union), Paris, France ; London School of Hygiene & Tropical Medicine, London, UK.

Funding

World Health Organization 001
6 · The paper itself

Abstract

Eighteen months after successfully completing one of six Structured Operational Research and Training Initiative (SORT IT) courses, e-mail questionnaires assessing post-course research output were returned by 63 participants (100% response rate). Thirty-two (51%) participants had completed new research projects, 24 (38%) had published papers, 28 (44%) had presented abstracts at conferences, 15 (24%) had facilitated at further OR courses, and 21 (33%) had reviewed scientific papers. Seven (11%) had secured further research funding and 22 (35%) stated that their institutions were involved in implementation or capacity building in operational research. Significant research output continues beyond course completion, further endorsing the value of the SORT IT model.

Indexed as

Médecins Sans Frontièresoperational research capacity buildingpost-course research outputSORT ITThe Union

Identifiers

PMID26767182
PMCPMC4682620

What OpenQuestion holds

Textmetadata
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.