Evidence map›Paper›PMID 38811981›Full record

ArticleImplementation science : IS2024

Implementation science in humanitarian assistance: applying a novel approach for humanitarian care optimization.

Christopher W Reynolds, Phillip J Hsu, Dana Telem

Abstract read
In one paragraph

Article in Implementation science : IS, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
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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

3 authors.

Christopher W ReynoldsUniversity of Michigan Medical School, 1301 Catherine St. Ann Arbor, Ann Arbor, MI, 48109, USA. chwre@med.umich.edu.ORCID 0000-0001-6634-391X
Phillip J HsuDepartment of Surgery, University of Michigan, 1500 E Medical Center Dr. Ann Arbor, Ann Arbor, MI, 48109, USA.
Dana TelemDepartment of Surgery, University of Michigan, 1500 E Medical Center Dr. Ann Arbor, Ann Arbor, MI, 48109, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Humanitarian assistance is hindered by a lack of strategies to optimize care delivery through research and organized networks. Distinct from global health, humanitarian assistance struggles to address its multifaceted challenges, including duplicative resources, uncoordinated communication, unregulated staff expertise and safety, financial waste, and poor-quality metrics and care delivery. Implementation science provides an exciting and underutilized approach that can be applied to address these challenges, by studying how to effectively design, implement, optimize, and scale evidence-based interventions. Though successful in well-resourced and global health systems, implementation science approaches are rare in humanitarian assistance. Adopting implementation science approaches including identifying determinants, creating accessible evidence-based intervention bundles, adapting study methodologies for the humanitarian context, and partnering with implementation experts could make these promising approaches more accessible for thousands of humanitarian actors delivering healthcare for millions of vulnerable patients worldwide.

Indexed as

AltruismDelivery of Health CareImplementation ScienceGlobal HealthHumansRelief WorkGlobal healthHumanitarian assistanceImplementation scienceQuality improvement

Identifiers

PMID38811981
PMCPMC11138019

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.