Evidence map›Paper›PMID 33635823›Full record

ArticleJMIR research protocols2021

Rapid Design and Delivery of an Experience-Based Co-designed Mobile App to Support the Mental Health Needs of Health Care Workers Affected by the COVID-19 Pandemic: Impact Evaluation Protocol.

Matthew Lewis, Victoria J Palmer, Aneta Kotevski, Konstancja Densley, Meaghan L O'Donnell, Caroline Johnson, Franz Wohlgezogen, Kathleen Gray, Kate Robins-Browne, Luke Burchill

Abstract read
In one paragraph

Article in JMIR research protocols, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

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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

10 authors.

Matthew LewisIntegrated Mental Health Research Program, Department of General Practice, Melbourne Medical School, The University of Melbourne, Melbourne, Australia.ORCID https://orcid.org/0000-0001-7973-0716
Victoria J PalmerIntegrated Mental Health Research Program, Department of General Practice, Melbourne Medical School, The University of Melbourne, Melbourne, Australia.ORCID https://orcid.org/0000-0001-7212-932X
Aneta KotevskiDepartment of Medicine, The University of Melbourne, Melbourne, Australia.ORCID https://orcid.org/0000-0001-7122-4624
Konstancja DensleyIntegrated Mental Health Research Program, Department of General Practice, Melbourne Medical School, The University of Melbourne, Melbourne, Australia.ORCID https://orcid.org/0000-0001-6822-2011
Meaghan L O'DonnellPhoenix Australia, Department of Psychiatry, The University of Melbourne, Melbourne, Australia.ORCID https://orcid.org/0000-0003-4349-0022
Caroline JohnsonIntegrated Mental Health Research Program, Department of General Practice, Melbourne Medical School, The University of Melbourne, Melbourne, Australia.ORCID https://orcid.org/0000-0002-4755-7514
Franz WohlgezogenCentre for Workplace Leadership, Faculty of Business and Economics, The University of Melbourne, Melbourne, Australia.ORCID https://orcid.org/0000-0003-1660-512X
Kathleen GrayCentre for Digital Transformation of Health, The University of Melbourne, Melbourne, Australia.ORCID https://orcid.org/0000-0003-1616-2170
Kate Robins-BrowneIntegrated Mental Health Research Program, Department of General Practice, Melbourne Medical School, The University of Melbourne, Melbourne, Australia.ORCID https://orcid.org/0000-0002-1790-6576
Luke BurchillDepartment of Medicine, The University of Melbourne, Parkville, Australia.ORCID https://orcid.org/0000-0001-9786-1840

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe COVID-19 pandemic has highlighted the importance of health care workers' mental health and well-being for the successful function of the health care system. Few targeted digital tools exist to support the mental health of hospital-based health care workers, and none of them appear to have been led and co-designed by health care workers.

objectiveRMHive is being led and developed by health care workers using experience-based co-design (EBCD) processes as a mobile app to support the mental health challenges posed by the COVID-19 pandemic to health care workers. We present a protocol for the impact evaluation for the rapid design and delivery of the RMHive mobile app.

methodsThe impact evaluation will adopt a mixed methods design. Qualitative data from photo interviews undertaken with up to 30 health care workers and semistructured interviews conducted with up to 30 governance stakeholders will be integrated with qualitative and quantitative user analytics data and user-generated demographic and mental health data entered into the app. Analyses will address three evaluation questions related to engagement with the mobile app, implementation and integration of the app, and the impact of the app on individual mental health outcomes. The design and development will be described using the Mobile Health Evidence Reporting and Assessment guidelines. Implementation of the app will be evaluated using normalization process theory to analyze qualitative data from interviews combined with text and video analysis from the semistructured interviews. Mental health impacts will be assessed using the total score of the 4-item Patient Health Questionnaire (PHQ4) and subscale scores for the 2-item Patient Health Questionnaire for depression and the 2-item Generalized Anxiety Scale for anxiety. The PHQ4 will be completed at baseline and at 14 and 28 days.

resultsThe anticipated average use period of the app is 30 days. The rapid design will occur over four months using EBCD to collect qualitative data and develop app content. The impact evaluation will monitor outcome data for up to 12 weeks following hospital-wide release of the minimal viable product release. The study received funding and ethics approvals in June 2020. Outcome data is expected to be available in March 2021, and the impact evaluation is expected to be published mid-2021.

conclusionsThe impact evaluation will examine the rapid design, development, and implementation of the RMHive app and its impact on mental health outcomes for health care workers. Findings from the impact evaluation will provide guidance for the integration of EBCD in rapid design and implementation processes. The evaluation will also inform future development and rollout of the app to support the mental health needs of hospital-based health care workers more widely. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/26168.

Indexed as

appCOVID-19deliverydesigndigital interventionsevaluationexperience-based co-designhealth care workerhealth personnelimpactinterventionmental healthmobile applicationssupport

Identifiers

PMID33635823
PMCPMC7945974

What OpenQuestion holds

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LicenceCC BY
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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.