Evidence map›Paper›PMID 36350739›Full record

ArticleJMIR human factors2022

International Collaboration to Develop a Remote Monitoring Web App for COVID-19 Patients in Armenia: Design and Development With Agile Methodology.

Abu Sikder, James Dickhoner, Lynn Kysh, Lusine Musheghyan, Shant Shekherdimian, Barry Levine, Juan Espinoza

Abstract read
In one paragraph

Article in JMIR human factors, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Article
  3. 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

7 authors.

Abu Sikder *Innovation Studio, Children's Hospital Los Angeles, Los Angeles, CA, United States.ORCID https://orcid.org/0000-0002-8300-479X
James Dickhoner *Innovation Studio, Children's Hospital Los Angeles, Los Angeles, CA, United States.ORCID https://orcid.org/0000-0002-5727-9300
Lynn Kysh *Innovation Studio, Children's Hospital Los Angeles, Los Angeles, CA, United States.ORCID https://orcid.org/0000-0003-1886-0546
Lusine Musheghyan *Turpanjian College of Health Sciences, American University of Armenia, Yerevan, Armenia.ORCID https://orcid.org/0000-0002-9127-2700
Shant Shekherdimian *Division of Pediatric Surgery, University of California, Los Angeles, Los Angeles, CA, United States.ORCID https://orcid.org/0000-0002-8534-0121
Barry Levine *Department of Computer Science, San Francisco State University, San Francisco, CA, United States.ORCID https://orcid.org/0000-0003-3018-7040
Juan Espinoza *Innovation Studio, Children's Hospital Los Angeles, Los Angeles, CA, United States.ORCID https://orcid.org/0000-0003-0513-588X

Funding

Southern California Clinical and Translational Science InstituteUL1TR001855 · NCATS · UNIVERSITY OF SOUTHERN CALIFORNIA · PI Thomas A Buchanan, Michele D. Kipke · 2016 to 2026
$81.3M
Southern California Clinical and Translational Science InstituteUL1TR000130 · NCATS · UNIVERSITY OF SOUTHERN CALIFORNIA · PI BUCHANAN, THOMAS A · 2012 to 2015
$36.0M
NCATS NIH HHS UL1 TR000130NCATS NIH HHS UL1 TR001855
6 · The paper itself

Abstract

backgroundCOVID-19 has led to over 500 million cases and 6.2 million deaths around the world. Low- and middle-income countries (LMICs) like Armenia face unique infrastructure, financial, and capacity challenges that in many cases result in worse outcomes. Health care facilities across Armenia experienced a shortage of resources, including hospital beds and oxygen, which was further exacerbated by the war with neighboring Azerbaijan. Without a framework for home-based care, health care facilities were severely strained by COVID-19 patients who had prolonged oxygen requirements but were otherwise clinically stable.

objectiveThis paper describes our approach to establishing an international collaboration to develop a web app to support home monitoring of patients with COVID-19 with persistent oxygen requirements.

methodsThe app was developed using a rapid, coordinated, and collaborative approach involving an international group of clinicians, developers, and collaborators. Health screening, monitoring, and discharge forms were developed into a lightweight OpenMRS web app and customized for the local Armenian context.

resultsThe software was designed and developed over 2 months using human-centered design and agile sprints. Once live, 5087 patient records were created for 439 unique patients.

conclusionsThis project suggests a promising framework for designing and implementing remote monitoring programs in LMICs, despite pandemic and geopolitical challenges.

Indexed as

ArmeniaCOVID-19global healthhome monitoringhuman-centered designmHealthpatient careremote monitoringsoftwaresoftware developmentweb app

Identifiers

PMID36350739
PMCPMC9707617

What OpenQuestion holds

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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.