Evidence map›Paper›PMID 35360368›Full record

ArticleFrontiers in digital health2022

Development of an Offline, Open-Source, Electronic Health Record System for Refugee Care.

Tobias Brotherton, Samuel Brotherton, Henry Ashworth, Adesh Kadambi, Hassaan Ebrahim, Senan Ebrahim

Abstract read
In one paragraph

Article in Frontiers in digital health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 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

6 citing papers in PubMed, 1 synthesis or guideline 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
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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

6 authors.

Tobias BrothertonHikma Health, San Jose, CA, United States.
Samuel BrothertonHikma Health, San Jose, CA, United States.
Henry AshworthHikma Health, San Jose, CA, United States.
Adesh KadambiHikma Health, San Jose, CA, United States.
Hassaan EbrahimHikma Health, San Jose, CA, United States.
Senan EbrahimHikma Health, San Jose, CA, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

While electronic health records (EHRs) have been shown to be effective in improving patient care in low-resource settings, there are still barriers to implementing them, including adaptability, usability, and sustainability. Taking a user-centered design process we developed the Hikma Health EHR for low resourced clinics caring for displaced populations. This EHR was built using React Native and Typescript that sync to a Python backend repository which is deployed on Google Cloud SQL. To date the Hikma Health EHR has been deployed for 26,000 patients. The positive impacts of the system reported by clinician users are 3-fold: (1) improved continuity of care; (2) improved visualization of clinical data; and (3) improved efficiency, resulting in a higher volume of patients being treated. While further development is needed, our open-source model will allow any organization to modify this system to meet their clinical and administrative needs.

Indexed as

displaced populationelectronic health recordlow resourcemHealthrefugee

Identifiers

PMID35360368
PMCPMC8963945

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.