Evidence map›Paper›PMID 36210070›Full record

ReviewBMJ global health2022

The need for standardised methods of data collection, sharing of data and agency coordination in humanitarian settings.

Aisha Shalash, Niveen M E Abu-Rmeileh, Dervla Kelly, Khalifa Elmusharaf

Abstract readReview
In one paragraph

Review in BMJ global health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Article
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  7. Review
  8. The Feasibility and Relevance of Collecting Adolescent Health Indicators in Humanitarian Settings: Results From the West Bank.Health expectations : an international journal of public participation in health care and health policy · 2025
    Article
  9. Article
  10. 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

4 authors.

Aisha ShalashInstitute of Community and Public Health, Birzeit University, Ramallah, Palestine, State of aashalash@birzeit.edu.
Niveen M E Abu-RmeilehInstitute of Community and Public Health, Birzeit University, Ramallah, Palestine, State of.
Dervla KellySchool of Medicine, University of Limerick, Limerick, Ireland.
Khalifa ElmusharafSchool of Medicine, University of Limerick, Limerick, Ireland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Humanitarian crises and emergencies are prevalent all over the world. With a surge in crises in the last decade, humanitarian agencies have increased their presence in these areas. Initiatives such as the Sphere Project and the Minimum Initial Service Package known as MISP were formed to set standards and priorities for humanitarian assistance agencies. MISP was initiated to coordinate and standardise data and collection methods and involve locals for programme sustainability. Developing policies and programmes based on available data in humanitarian crises is necessary to make evidence-based decisions. Data sharing between humanitarian agencies increases the effectiveness of rapid responses and limits duplication of services and research. In addition, standardising data collection methods helps alleviate the risk of inaccurate information and allows for comparison and estimates among different settings. Big data is a new collection method that can help assemble timely data if resources are available and turn the data into information. Further research on setting priority indicators for humanitarian situations can help guide agencies to collect quality data.

Indexed as

Relief WorkData CollectionDelivery of Health CareHumansInformation DisseminationPolicyhealth services researchhealth systemshealth systems evaluation

Identifiers

PMID36210070
PMCPMC9540843

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.