Evidence map›Paper›PMID 39874072›Full record

ArticleJMIR formative research2025

A Digital Tool (Technology-Assisted Problem Management Plus) for Lay Health Workers to Address Common Mental Health Disorders: Co-production and Usability Study in Pakistan.

Maham Saleem, Shamsa Zafar, Thomas Klein, Markus Koesters, Adnan Bashir, Daniela C Fuhr, Siham Sikander, Hajo Zeeb

Abstract read
In one paragraph

Article in JMIR formative research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
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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.

Maham SaleemLeibniz Institute for Prevention Research and Epidemiology - BIPS, Bremen, Germany.ORCID 0000-0001-6019-6437
Shamsa ZafarFazaia Medical College, Air University, Islamabad, Pakistan.ORCID 0000-0003-4397-5505
Thomas KleinDepartment of Psychiatry and Psychotherapy II, District Hospital Guenzburg, Ulm University, Ulm, Germany.ORCID 0000-0002-9545-4480
Markus KoestersCenter for Evidence-Based Healthcare, Medical Faculty Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany.ORCID 0000-0001-7018-6021
Adnan BashirHealth Information Systems Program, Islamabad, Pakistan.ORCID 0000-0001-7973-790X
Daniela C FuhrLeibniz Institute for Prevention Research and Epidemiology - BIPS, Bremen, Germany.ORCID 0000-0001-9020-4629
Siham SikanderDepartment of Primary Care and Mental Health, University of Liverpool, Liverpool, United Kingdom.ORCID 0000-0002-0223-7234
Hajo ZeebLeibniz Institute for Prevention Research and Epidemiology - BIPS, Bremen, Germany.ORCID 0000-0001-7509-242X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMental health remains among the top 10 leading causes of disease burden globally, and there is a significant treatment gap due to limited resources, stigma, limited accessibility, and low perceived need for treatment. Problem Management Plus, a World Health Organization-endorsed brief psychological intervention for mental health disorders, has been shown to be effective and cost-effective in various countries globally but faces implementation challenges, such as quality control in training, supervision, and delivery. While digital technologies to foster mental health care have the potential to close treatment gaps and address the issues of quality control, their development requires context-specific, interdisciplinary, and participatory approaches to enhance impact and acceptance.

objectiveWe aimed to co-produce Technology-Assisted Problem Management Plus (TA-PM+) for "lady health workers" (LHWs; this is the terminology used by the Lady Health Worker Programme for lay health workers) to efficiently deliver sessions to women with symptoms of common mental health disorders within the community settings of Pakistan and conducted usability testing in community settings.

methodsA 3-stage framework was used for co-producing and prototyping the intervention. Stage 1 (evidence review and stakeholder consultation) included 3 focus group discussions with 32 LHWs and 7 in-depth interviews with key stakeholders working in the health system or at the health policy level. Thematic analyses using the Capability, Opportunity, and Motivation for Behavioral Change (COM-B) model were conducted. Stage 2 included over eight online workshops, and a multidisciplinary intervention development group co-produced TA-PM+. Stage 3 (prototyping) involved 2 usability testing rounds. In round 1 conducted in laboratory settings, 6 LHWs participated in role plays and completed the 15-item mHealth Usability App Questionnaire (MUAQ) (score range 0-7). In round 2 conducted in community settings, trained LHWs delivered the intervention to 6 participants screened for depression and anxiety. Data were collected using the MUAQ completed by LHWs and the Patient Satisfaction Questionnaire (PSQ) (score range 0-46) completed by participants.

resultsQualitative analysis indicated that a lack of digital skills among LHWs, high workload, resource scarcity for digitization (specifically internet bandwidth in the community), and need for comprehensive training were barriers for TA-PM+ implementation in the community through LHWs. Training, professional support, user guidance, an easy and automated interface, offline functionalities, incentives, and strong credibility among communities were perceived to enhance the capability, opportunity, and motivation of LHWs to implement TA-PM+. TA-PM+ was co-produced with features like an automated interface, a personal dashboard, guidance videos, and a connected supervisory panel. The mean MUAQ score was 5.62 in round 1 of usability testing and improved to 5.96 after incorporating LHW feedback in round 2. The mean PSQ score for TA-PM+ was 40 in round 2.

conclusionsCo-production of TA-PM+ for LHWs balanced context and evidence. The 3-stage iterative development approach resulted in high usability and acceptability of TA-PM+ for LHWs and participants.

Indexed as

Community Health WorkersDigital TechnologyMental DisordersAdultFemaleFocus GroupsHumansMaleMiddle AgedPakistanQualitative ResearchTelemedicinecommon mental health disordersco-productiondigital interventiondigital mental healthdigital technologylay health worker programmelow- and middle-income countriesProblem Management Plus

Identifiers

PMID39874072
PMCPMC11815293

What OpenQuestion holds

Textmetadata
LicenceCC BY
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Registered trials

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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.