Evidence map›Paper›PMID 34154605›Full record

ArticleGlobalization and health2021

Designing the next generation of implementation research training for learners in low- and middle-income countries.

Michael J Penkunas, Shiau Yun Chong, Emma L M Rhule, Evangelia Berdou, Pascale Allotey

Abstract readLetter
In one paragraph

Article in Globalization and health, 2021. 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.

  1. Unlocking the power of implementation research.BMC global and public health · 2025
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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

5 authors.

Michael J PenkunasUnited Nations University International Institute for Global Health (UNU-IIGH), UKM Medical Centre Jalan Yaacob Latif, Bandar Tun Razak, Cheras, 56000, Kuala Lumpur, Malaysia. Mike.Penkunas@unu.edu.ORCID 0000-0001-8822-2166
Shiau Yun ChongUnited Nations University International Institute for Global Health (UNU-IIGH), UKM Medical Centre Jalan Yaacob Latif, Bandar Tun Razak, Cheras, 56000, Kuala Lumpur, Malaysia.
Emma L M RhuleUnited Nations University International Institute for Global Health (UNU-IIGH), UKM Medical Centre Jalan Yaacob Latif, Bandar Tun Razak, Cheras, 56000, Kuala Lumpur, Malaysia.
Evangelia BerdouData Yarns Research, Brighton, England.
Pascale AlloteyUnited Nations University International Institute for Global Health (UNU-IIGH), UKM Medical Centre Jalan Yaacob Latif, Bandar Tun Razak, Cheras, 56000, Kuala Lumpur, Malaysia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Efficacious health interventions tested through controlled trials often fail to show desired impacts when implemented at scale. These challenges can be particularly pervasive in low- and middle-income settings where health systems often lack the capacity and mechanisms required for high-quality research and evidence translation. Implementation research is a powerful tool for identifying and addressing the bottlenecks impeding the success of proven health interventions. Implementation research training initiatives, although growing in number, remain out of reach for many investigators in low- and middle-income settings, who possess the knowledge required to contextualize challenges and potential solutions in light of interacting community- and system-level features. We propose a realigned implementation research training model that centers on team-based learning, tailored didactic opportunities, learning-by-doing, and mentorship.

Indexed as

Developing CountriesIncomeHumansMentorsResearch PersonnelImplementation researchResearch capacity strengtheningTraining

Identifiers

PMID34154605
PMCPMC8218436

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.