Evidence map›Paper›PMID 31417856›Full record

ArticlePublic health action2019

Adapting the Structured Operational Research Training Initiative (SORT IT) for high-income countries.

S Ghebrehewet, A D Harries, M Kliner, K Smith, P Cleary, E Wilkinson, A Stewart

Abstract read
In one paragraph

Article in Public health action, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
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

7 authors.

S GhebrehewetCheshire & Merseyside Health Protection Team, Public Health England, North West Centre, Liverpool, UK.
A D HarriesInternational Union Against Tuberculosis and Lung Disease, Paris, France.
M KlinerGreater Manchester Health Protection Team, Public Health England, North West Centre, Manchester, UK.
K SmithCheshire & Merseyside Health Protection Team, Public Health England, North West Centre, Liverpool, UK.
P ClearyField Service, Public Health England, Liverpool, UK.
E WilkinsonInstitute of Medicine, University of Chester, Chester, UK.
A StewartCollege of Life and Environmental Science, University of Exeter, Exeter, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

SORT IT (Structured Operational Research Training InitiaTive) is a successful capacity building programme started 10 years ago to develop operational research skills in low- and middle-income countries. Public Health England (PHE) aims to embed a culture of research in front-line staff, and SORT IT has been adapted to train frontline health protection professionals at PHE North West (PHE NW) to collate, analyse and interpret routinely collected data for evidence-informed decision-making. Six participants from the PHE NW Health Protection team were selected to attend a two-module course in Liverpool, UK, in May and in November 2018. Five participants finished the course with completed papers on characteristics and burden of influenza-like illness in elderly care homes (two papers), use of dried blood spots for blood-borne virus screening in prisons, uptake of meningococcal ACWY (groups A, C, W-135 and Y) vaccine in schoolchildren and fires in waste management sites. The SORT IT course led to 1) new evidence being produced to inform health protection practice, and 2) agreement within PHE NW to continue SORT IT with two courses per year, and 3) showed how a research capacity building initiative for low- and middle-income countries that combines 'learning with doing' can be adapted and used in a high-income country.

Indexed as

health protectionPublic Health Englandresearch capacity building

Identifiers

PMID31417856
PMCPMC6645446

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.