Evidence map›Paper›PMID 35147509›Full record

ArticleJMIR medical informatics2022

A Free, Open-Source, Offline Digital Health System for Refugee Care.

Henry Ashworth, Senan Ebrahim, Hassaan Ebrahim, Zahra Bhaiwala, Michael Chilazi

Abstract read
In one paragraph

Article in JMIR medical informatics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 2 pooled it
–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

11 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Electronic Personal Health Records for Mobile Populations: A Rapid Systematic Literature Review.International journal of environmental research and public health · 2025
    Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. 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

5 authors.

Henry AshworthDepartment of Medicine, Harvard Medical School, Boston, MA, United States.ORCID https://orcid.org/0000-0002-8989-8560
Senan EbrahimHikma Health, San Jose, CA, United States.ORCID https://orcid.org/0000-0003-3901-7160
Hassaan EbrahimHikma Health, San Jose, CA, United States.ORCID https://orcid.org/0000-0001-7147-966X
Zahra BhaiwalaHikma Health, San Jose, CA, United States.ORCID https://orcid.org/0000-0002-2630-6951
Michael ChilaziHikma Health, San Jose, CA, United States.ORCID https://orcid.org/0000-0002-8942-2407

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundRise of conflict, extreme weather events, and pandemics have led to larger displaced populations worldwide. Displaced populations have unique acute and chronic health needs that must be met by low-resource health systems. Electronic health records (EHRs) have been shown to improve health outcomes in displaced populations, but need to be adapted to meet the constraints of these health systems.

objectiveThe aim of this viewpoint is to describe the development and deployment of an EHR designed to care for displaced populations in low-resource settings.

methodsUsing a human-centered design approach, we conducted in-depth interviews and focus groups with patients, health care providers, and administrators in Lebanon and Jordan to identify the essential EHR features. These features, including modular workflows, multilingual interfaces, and offline-first capabilities, led to the development of the Hikma Health EHR, which has been deployed in Lebanon and Nicaragua.

resultsWe report the successes and challenges from 12 months of Hikma Health EHR deployment in a mobile clinic providing care to Syrian refugees in Bekaa Valley, Lebanon. Successes include the EHR's ability to (1) increase clinical efficacy by providing detailed patient records, (2) be adaptable to the threats of COVID-19, and (3) improve organizational planning. Lessons learned include technical fixes to methods of identifying patients through name or their medical record ID.

conclusionsAs the number of displaced people continues to rise globally, it is imperative that solutions are created to help maximize the health care they receive. Free, open-sourced, and adaptable EHRs can enable organizations to better provide for displaced populations.

Indexed as

COVID-19digital healthdisplaced populationelectronic health recordhealth caremHealthrefugee

Identifiers

PMID35147509
PMCPMC8881778

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.