Evidence map›Paper›PMID 32940612›Full record

ArticleJournal of medical Internet research2020

Operability, Usefulness, and Task-Technology Fit of an mHealth App for Delivering Primary Health Care Services by Community Health Workers in Underserved Areas of Pakistan and Afghanistan: Qualitative Study.

Shehla Zaidi, Abdul Momin Kazi, Atif Riaz, Ammarah Ali, Rabia Najmi, Rawshan Jabeen, Umerdad Khudadad, Saleem Sayani

Open access · goldAbstract read
In one paragraph

Article in Journal of medical Internet research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed, 2 pooled it
8.6field-weighted citation impact, top 2% 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

28 citing papers in PubMed, 2 syntheses or guidelines pooled it, 58 citations in OpenAlex.

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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

8 authors at 2 institutions in 1 country.

Shehla ZaidiDepartment of Community Health Sciences, Aga Khan University, Karachi, Pakistan.ORCID 0000-0001-7620-9247
Abdul Momin KaziDepartment of Paediatrics and Child Health, Aga Khan University, Karachi, Pakistan.ORCID 0000-0001-8253-1777
Atif RiazDepartment of Paediatrics and Child Health, Aga Khan University, Karachi, Pakistan.ORCID 0000-0002-0494-5656
Ammarah AliDepartment of Community Health Sciences, Aga Khan University, Karachi, Pakistan.ORCID 0000-0002-8633-3943
Rabia NajmiDepartment of Community Health Sciences, Aga Khan University, Karachi, Pakistan.ORCID 0000-0002-9281-5076
Rawshan JabeenDepartment of Community Health Sciences, Aga Khan University, Karachi, Pakistan.ORCID 0000-0003-1543-8657
Umerdad KhudadadDepartment of Community Health Sciences, Aga Khan University, Karachi, Pakistan.ORCID 0000-0002-3364-4844
Saleem SayaniDigital Health Resource Centre, Aga Khan Development Network, Karachi, Pakistan.ORCID 0000-0003-3470-9475
Aga Khan University · PKAga Khan Development Network · PK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe recent proliferation of digital health technology in low- and middle-income countries has made it possible for community health workers (CHWs) to use mobile health (mHealth) to perform tasks such as data collection and training. Although most studies focus on the prospect of digital apps to motivate and connect CHW, only a few have captured end-user experiences with mobile-based apps. We examined the experience of frontline health workers with a move towards digitalized real-time data to record maternal and childcare services in remote areas of Afghanistan and Pakistan.

objectiveOur study aimed to explore CHW perceptions on the operability of the mHealth app in a community setting, usefulness of the app in the delivery of assigned maternal and childcare functions, and the task-technology fit with monitoring information systems.

methodsThe Hayat app, designed to digitalize and facilitate electronic record keeping, was evaluated to be embedded into mainstream health systems. The app had 2 components: smartphone app for data entry and web dashboard for visualization of the maternal, newborn, and child health reports. Using a qualitative exploratory study design, we conducted a total of 8 focus group discussions with purposively selected lady health workers (LHWs) and CHWs in 3 districts of Pakistan and 3 hamlets of Afghanistan, respectively. Focus group discussions were conducted in the local language, audio recorded, and converted into expanded notes for thematic analysis.

resultsAlthough a majority of LHWs used the app with ease, some initially faced difficulties in operating it and requested a longer duration of training. Contrary to LHWs, the CHWs were able to use the app without difficulty, as they were using it only to register clients. Overall, use of the mHealth app in both countries resulted in a positive impact on health education sessions, easier communication with parents or clients, tracking of routine immunization defaulters and follow-ups, improved data validity, easily accessible vaccination schedules, and faster registration. In addition to building up their image in the community and personal development, the improved reporting and monitoring mechanisms also set the stage for the LHWs to get recognized for their hard work. CHWs in Afghanistan also reported the app provided immediate access to information when requested by their supervisor. Although the Hayat app eliminates the need to carry multiple registers and helps in recalling client information at the touch of a button, technical issues around connectivity and data inputting tabs were highlighted by the participants.

conclusionsThe digitization of records not only provided CHWs support in their daily routine but also strengthened monitoring mechanisms and improved motivation. We recommend conducting end user experience studies before embedding apps into mainstream health systems as high acceptability does not always result in high uptake of digital technology.

Indexed as

AdultAfghanistanCommunity Health WorkersFemaleHumansMaleMedically Underserved AreaMobile ApplicationsPakistanPrimary Health CareQualitative ResearchTelemedicinecommunity health workersmHealthtask-technology fitusabilityusefulness

Identifiers

PMID32940612
PMCPMC7530697
OpenAlexW3035274901

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.