Digital Health Intervention to Increase Health Knowledge Related to Diseases of High Public Health Concern in Iringa, Tanzania: Protocol for a Mixed Methods Study.

DigI HIV/AIDS Tanzania digital health digital health education digital health messages digital health promotion eHealth mHealth tuberculosis

Journal

JMIR research protocols
ISSN: 1929-0748
Titre abrégé: JMIR Res Protoc
Pays: Canada
ID NLM: 101599504

Informations de publication

Date de publication:
22 Apr 2021
Historique:
received: 19 10 2020
accepted: 17 03 2021
revised: 28 02 2021
entrez: 22 4 2021
pubmed: 23 4 2021
medline: 23 4 2021
Statut: epublish

Résumé

Traditionally, health promotion and health education have been provided to communities in the global south in the form of leaflets or orally by health care workers. Digital health interventions (DHIs) such as digital health messages accessed by smartphones have the potential to reach more people at a lower cost and to contribute to strengthening of health care systems. The DHI in this study focuses on disseminating digital health education regarding 3 disease complexes of high public health concern: HIV/AIDS, tuberculosis, and Taenia solium (neuro)cysticercosis or taeniasis, a parasitic zoonotic disease that requires a One Health approach. The DHI presents the participants with animated health videos (animations) and provides access to information spots (InfoSpots) with a free-of-charge digital health platform containing messages about health to rural Tanzanian communities. The objective of this study is to measure the effect of the DHI on health knowledge uptake and retention over time in the rural communities. This is a mixed methods study including a nonrandomized controlled trial and qualitative interviews conducted in rural Tanzania. A health platform containing digital health messages for the communities was developed prior to the study. The health messages consist of text, pictures, quizzes, and animations of everyday stories, aimed at disease prevention and early treatment. The baseline and immediate postintervention assessments were completed in Iringa, Tanzania in May 2019. The participants were interviewed by enumerators and completed questionnaires regarding health knowledge. Participants in the intervention group were exposed to 3 different health animations once on a tablet device. The participants' health knowledge was assessed again immediately after the exposure. The first follow-up survey was undertaken in August 2019. The InfoSpots with the digital health platform were thereafter launched in the intervention villages in November 2019. Qualitative interviews were undertaken in February 2020. The second follow-up was completed in June 2020. A total of 600 participants have been enrolled in the trial. We will assess (1) the difference in knowledge scores between baseline and the immediate postintervention assessments in the intervention group and (2) the difference in knowledge scores between the intervention and control groups at baseline, 3 and 6 months post-DHI rollout. Since a randomized design did not prove feasible, potential confounders (eg, age, gender, education, and time of exposure) may be introduced, and results will be adjusted. Data analysis for the 35 qualitative interviews is currently ongoing, and perspectives and experiences related to use and nonuse of the InfoSpots are being explored. The data have been collected, and the analysis is ongoing in this digital health study, aimed at evaluating the effects of a DHI based on relevant health messages. The publications of results can be expected this year. ClinicalTrials.gov NCT03808597; https://clinicaltrials.gov/ct2/show/NCT03808597. RR1-10.2196/25128.

Sections du résumé

BACKGROUND BACKGROUND
Traditionally, health promotion and health education have been provided to communities in the global south in the form of leaflets or orally by health care workers. Digital health interventions (DHIs) such as digital health messages accessed by smartphones have the potential to reach more people at a lower cost and to contribute to strengthening of health care systems. The DHI in this study focuses on disseminating digital health education regarding 3 disease complexes of high public health concern: HIV/AIDS, tuberculosis, and Taenia solium (neuro)cysticercosis or taeniasis, a parasitic zoonotic disease that requires a One Health approach. The DHI presents the participants with animated health videos (animations) and provides access to information spots (InfoSpots) with a free-of-charge digital health platform containing messages about health to rural Tanzanian communities.
OBJECTIVE OBJECTIVE
The objective of this study is to measure the effect of the DHI on health knowledge uptake and retention over time in the rural communities.
METHODS METHODS
This is a mixed methods study including a nonrandomized controlled trial and qualitative interviews conducted in rural Tanzania. A health platform containing digital health messages for the communities was developed prior to the study. The health messages consist of text, pictures, quizzes, and animations of everyday stories, aimed at disease prevention and early treatment. The baseline and immediate postintervention assessments were completed in Iringa, Tanzania in May 2019. The participants were interviewed by enumerators and completed questionnaires regarding health knowledge. Participants in the intervention group were exposed to 3 different health animations once on a tablet device. The participants' health knowledge was assessed again immediately after the exposure. The first follow-up survey was undertaken in August 2019. The InfoSpots with the digital health platform were thereafter launched in the intervention villages in November 2019. Qualitative interviews were undertaken in February 2020. The second follow-up was completed in June 2020.
RESULTS RESULTS
A total of 600 participants have been enrolled in the trial. We will assess (1) the difference in knowledge scores between baseline and the immediate postintervention assessments in the intervention group and (2) the difference in knowledge scores between the intervention and control groups at baseline, 3 and 6 months post-DHI rollout. Since a randomized design did not prove feasible, potential confounders (eg, age, gender, education, and time of exposure) may be introduced, and results will be adjusted. Data analysis for the 35 qualitative interviews is currently ongoing, and perspectives and experiences related to use and nonuse of the InfoSpots are being explored.
CONCLUSIONS CONCLUSIONS
The data have been collected, and the analysis is ongoing in this digital health study, aimed at evaluating the effects of a DHI based on relevant health messages. The publications of results can be expected this year.
TRIAL REGISTRATION BACKGROUND
ClinicalTrials.gov NCT03808597; https://clinicaltrials.gov/ct2/show/NCT03808597.
INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID) UNASSIGNED
RR1-10.2196/25128.

Identifiants

pubmed: 33885369
pii: v10i4e25128
doi: 10.2196/25128
pmc: PMC8103301
doi:

Banques de données

ClinicalTrials.gov
['NCT03808597']

Types de publication

Journal Article

Langues

eng

Pagination

e25128

Informations de copyright

©Christine Holst, Felix Sukums, Bernard Ngowi, Lien My Diep, Tewodros Aragie Kebede, Josef Noll, Andrea Sylvia Winkler. Originally published in JMIR Research Protocols (https://www.researchprotocols.org), 22.04.2021.

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Auteurs

Christine Holst (C)

Centre for Global Health, Department of Community Medicine and Global Health, Institute of Health and Society, University of Oslo, Oslo, Norway.

Felix Sukums (F)

Directorate of ICT, Muhimbili University of Health and Allied Sciences, Dar es Salaam, United Republic of Tanzania.

Bernard Ngowi (B)

Muhimbili Medical Research Centre, National Institute for Medical Research, Dar es Salaam, United Republic of Tanzania.
Mbeya College of Health and Allied Sciences, University of Dar es Salaam, Mbeya, United Republic of Tanzania.

Lien My Diep (LM)

Oslo Centre for Biostatistics & Epidemiology, Oslo University Hospital, Oslo, Norway.

Tewodros Aragie Kebede (TA)

Fafo Institute for Labour and Social Research, Oslo, Norway.

Josef Noll (J)

Basic Internet Foundation, Kjeller, Norway.
Department of Technology Systems, University of Oslo, Oslo, Norway.

Andrea Sylvia Winkler (AS)

Centre for Global Health, Institute of Health and Society, University of Oslo, Oslo, Norway.
Center for Global Health, Department of Neurology, Technical University of Munich, Munich, Germany.

Classifications MeSH