Evidence map›Paper›PMID 37948102›Full record

ArticleJMIR formative research2023

A Community-Based, Mobile Electronic Medical Record System App for High-Quality, Integrated Antiretroviral Therapy in Lilongwe, Malawi: Design Process and Pilot Implementation.

Caryl Feldacker, Raymond Mugwanya, Daniel Irongo, Daneck Kathumba, Jane Chiwoko, Emmanuel Kitsao, Kenn Sippell, Beatrice Wasunna, Kingsley Jonas, Bernadette Samala and 4 more

Open access · goldAbstract read
In one paragraph

Article in JMIR formative research, 2023. 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
4.4field-weighted citation impact, top 6% of its field
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, 10 citations in OpenAlex.

  1. 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

14 authors at 6 institutions in 5 countries.

Caryl FeldackerDepartment of Global Health, University of Washington, Seattle, WA, United States.ORCID https://orcid.org/0000-0002-8152-6754
Raymond MugwanyaMedic, Kampala, Uganda.ORCID https://orcid.org/0000-0002-7895-8521
Daniel IrongoLifeNet International, Kampala, Uganda.ORCID https://orcid.org/0009-0007-9850-3376
Daneck KathumbaLighthouse Trust, Lilongwe, Malawi.ORCID https://orcid.org/0009-0002-0727-033X
Jane ChiwokoLighthouse Trust, Lilongwe, Malawi.ORCID https://orcid.org/0009-0005-1674-5167
Emmanuel KitsaoMedic, Nairobi, Kenya.ORCID https://orcid.org/0009-0004-9316-051X
Kenn SippellMedic, San Francisco, CA, United States.ORCID https://orcid.org/0009-0005-5579-8982
Beatrice WasunnaMedic, Nairobi, Kenya.ORCID https://orcid.org/0000-0003-4185-8399
Kingsley JonasLighthouse Trust, Lilongwe, Malawi.ORCID https://orcid.org/0009-0002-3119-7929
Bernadette SamalaLighthouse Trust, Lilongwe, Malawi.ORCID https://orcid.org/0009-0004-8946-0835
Daniel MwakanemaInternational Training and Education Center for Health, Lilongwe, Malawi.ORCID https://orcid.org/0009-0007-9850-3376
Femi OniMedic, Abuja, Nigeria.ORCID https://orcid.org/0009-0007-1045-9092
Krishna JafaMedic, San Francisco, CA, United States.ORCID https://orcid.org/0009-0008-3663-8854
Hannock TweyaDepartment of Global Health, University of Washington, Seattle, WA, United States.ORCID https://orcid.org/0000-0002-8247-1273
Lighthouse Trust · MWMedic Mobile · KEProgram for Appropriate Technology in Health · USUganda Management Institute · UGUniversity of Abuja · NGUniversity of Washington · US

Funding

The Community-based ART REtention and Suppression (CARES) App: an innovation to improve patient monitoring and evaluation data in community-based antiretroviral therapy programs in Lilongwe, MalawiR21MH127992 · NIMH · UNIVERSITY OF WASHINGTON · PI FELDACKER, CARYL, TWEYA, HANNOCK MUKOMA · 2022 to 2023
$382k
NIMH NIH HHS R21 MH127992
6 · The paper itself

Abstract

backgroundDifferentiated service delivery (DSD) increases antiretroviral therapy (ART) access in sub-Saharan Africa by moving clients out of congested ART clinics to communities for care. However, DSD settings challenge provider adherence to complex, chronic care treatment guidelines and have burdensome systems for client monitoring and evaluation (M&E), reducing data for decision-making. Electronic medical record systems (EMRS) improve client outcomes and reduce M&E workload. Traditional EMRS cannot operate in most DSD settings with unreliable power and poor connectivity.

objectiveThis study aims to detail the human-centered design (HCD) process of developing a mobile EMRS for community-based DSD services in Lilongwe, Malawi.

methodsLighthouse Trust (LT) operates 2 Ministry of Health (MoH) clinics in Lilongwe, Malawi, with a combined total of >35,000 ART clients. LT's real-time, point-of-care EMRS collects complex client M&E data and provides decision-making support, ensuring adherence to integrated HIV and tuberculosis guidelines that optimize client and program outcomes. LT's EMRS scaled to all large MoH ART clinics. LT also implements a nurse-led community-based ART program (NCAP), a DSD model to provide ART and rapid assessment for 2400 stable LT clients in the community. LT, alongside collaborators, from the University of Washington's International Training and Education Center for Health and technology partner, Medic, used the open-source Community Health Toolkit (CHT) and HCD to develop an open-source, offline-first, mobile EMRS-like app, "community-based ART retention and suppression" (CARES). CARES aims to bring EMRS-like provider benefits to NCAP's DSD clients.

resultsCARES design took approximately 12 months and used an iterative process of highly participatory feedback sessions with provider, data manager, and M&E team inputs to ensure CARES optimization for the NCAP and LT settings. The CARES mobile EMRS prototype supports NCAP providers with embedded prompts and alerts to ensure adherence to integrated MoH ART guidelines, aiming to improve the quality of client care. CARES facilitates improved data quality and flow for NCAP M&E, aiming to reduce data gaps between community and clinic settings. The CARES pilot demonstrates the potential of a mobile, point-of-care EMRS-like app that could benefit NCAP clients, providers, and program teams with integrated client care and complete M&E data for decision-making. CARES challenges include app speed, search features to align longitudinal records, and CARES to EMRS integration that supports timely care alerts.

conclusionsLeveraging the CHT and HCD processes facilitated the design of a locally specified and optimized mobile app with the promise to bring EMRS-like benefits to DSD settings. Moving from the CARES prototype to routine NCAP implementation should result in improved client care and strengthened M&E while reducing workload. Our transparent and descriptive process shares the progress and pitfalls of the CARES design and development, helping others in this digital innovation area to learn from our experiences at this stage.

Indexed as

antiretroviral therapydifferentiated service deliverydigital innovationsMalawimobile electronic medical record systemsmonitoring and evaluation

Identifiers

PMID37948102
PMCPMC10674144
OpenAlexW4387463761

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.