Assessing the Response Results of an mHealth-Based Patient Experience Survey Among People Receiving HIV Care in Lusaka, Zambia: Cohort Study.

HIV HIV care USSD Zambia airtime incentives longitudinal mHealth mobile mobile health mobile phone patient feedback pilot study public health service regression model rural survey unstructured supplementary service data urban

Journal

Journal of medical Internet research
ISSN: 1438-8871
Titre abrégé: J Med Internet Res
Pays: Canada
ID NLM: 100959882

Informations de publication

Date de publication:
30 Sep 2024
Historique:
received: 26 11 2023
accepted: 12 06 2024
revised: 02 04 2024
medline: 30 9 2024
pubmed: 30 9 2024
entrez: 30 9 2024
Statut: epublish

Résumé

This pilot study evaluates the effectiveness of mobile talk-time incentives in maintaining participation in a longitudinal mobile health (mHealth) data collection program among people living with HIV in Lusaka, Zambia. While mHealth tools, such as mobile phone surveys, provide vital health feedback, optimal incentive strategies to ensure long-term engagement remain limited. This study explores how different incentive levels affect response rates in multiple survey rounds, providing insights into effective methods for encouraging ongoing participation, especially in the context of Zambia's prepaid mobile system and multi-SIM usage, a common practice in sub-Saharan Africa. This study aimed to assess the response rate success across multiple invitations to participate in a care experience survey using a mobile phone short codes and unstructured supplementary service data (USSD) model among individuals in an HIV care setting in the Lusaka, Zambia. Participants were recruited from 2 study clinics-1 in a periurban setting and 1 in an urban setting. A total of 2 rounds of survey invitations were sent to study participants on a 3-month interval between November 1, 2018, and September 23, 2019. Overall, 3 incentive levels were randomly assigned by participant and survey round: (1) no incentive, (2) 2 Zambian Kwacha (ZMW; US $0.16), and (3) 5 ZMW (US $0.42). Survey response rates were analyzed using mixed-effects Poisson regression, adjusting for individual- and facility-level factors. Probability plots for survey completion were generated based on language, incentive level, and survey round. We projected the cost per additional response for different incentive levels. A total of 1006 participants were enrolled, with 72.3% (727/1006) from the urban HIV care facility and 62.4% (628/1006) requesting the survey in English. We sent a total of 1992 survey invitations for both rounds. Overall, survey completion across both surveys was 32.1% (637/1992), with significantly different survey completion between the first (40.5%, 95% CI 37.4-43.6%) and second (23.7%, 95% CI 21.1-26.4) invitations. Implementing a 5 ZMW (US $0.42) incentive significantly increased the adjusted prevalence ratio (aPR) for survey completion compared with those that received no incentive (aPR 1.35, 95% CI 1.11-1.63). The cost per additional response was highest at 5 ZMW, equivalent to US $0.42 (72.8 ZMW [US $5.82] per 1% increase in response). We observed a sharp decline of almost 50% in survey completion success from the initial invitation to follow-up survey administered 3 months later. This substantial decrease suggests that longitudinal data collection potential for a care experience survey may be limited without additional sensitization and, potentially, added survey reminders. Implementing a moderate incentive increased response rates to our health care experience survey. Tailoring survey strategies to accommodate language preferences and providing moderate incentives can optimize response rates in Zambia. Pan African Clinical Trial Registry PACTR202101847907585; https://pactr.samrc.ac.za/TrialDisplay.aspx?TrialID=14613.

Sections du résumé

BACKGROUND BACKGROUND
This pilot study evaluates the effectiveness of mobile talk-time incentives in maintaining participation in a longitudinal mobile health (mHealth) data collection program among people living with HIV in Lusaka, Zambia. While mHealth tools, such as mobile phone surveys, provide vital health feedback, optimal incentive strategies to ensure long-term engagement remain limited. This study explores how different incentive levels affect response rates in multiple survey rounds, providing insights into effective methods for encouraging ongoing participation, especially in the context of Zambia's prepaid mobile system and multi-SIM usage, a common practice in sub-Saharan Africa.
OBJECTIVE OBJECTIVE
This study aimed to assess the response rate success across multiple invitations to participate in a care experience survey using a mobile phone short codes and unstructured supplementary service data (USSD) model among individuals in an HIV care setting in the Lusaka, Zambia.
METHODS METHODS
Participants were recruited from 2 study clinics-1 in a periurban setting and 1 in an urban setting. A total of 2 rounds of survey invitations were sent to study participants on a 3-month interval between November 1, 2018, and September 23, 2019. Overall, 3 incentive levels were randomly assigned by participant and survey round: (1) no incentive, (2) 2 Zambian Kwacha (ZMW; US $0.16), and (3) 5 ZMW (US $0.42). Survey response rates were analyzed using mixed-effects Poisson regression, adjusting for individual- and facility-level factors. Probability plots for survey completion were generated based on language, incentive level, and survey round. We projected the cost per additional response for different incentive levels.
RESULTS RESULTS
A total of 1006 participants were enrolled, with 72.3% (727/1006) from the urban HIV care facility and 62.4% (628/1006) requesting the survey in English. We sent a total of 1992 survey invitations for both rounds. Overall, survey completion across both surveys was 32.1% (637/1992), with significantly different survey completion between the first (40.5%, 95% CI 37.4-43.6%) and second (23.7%, 95% CI 21.1-26.4) invitations. Implementing a 5 ZMW (US $0.42) incentive significantly increased the adjusted prevalence ratio (aPR) for survey completion compared with those that received no incentive (aPR 1.35, 95% CI 1.11-1.63). The cost per additional response was highest at 5 ZMW, equivalent to US $0.42 (72.8 ZMW [US $5.82] per 1% increase in response).
CONCLUSIONS CONCLUSIONS
We observed a sharp decline of almost 50% in survey completion success from the initial invitation to follow-up survey administered 3 months later. This substantial decrease suggests that longitudinal data collection potential for a care experience survey may be limited without additional sensitization and, potentially, added survey reminders. Implementing a moderate incentive increased response rates to our health care experience survey. Tailoring survey strategies to accommodate language preferences and providing moderate incentives can optimize response rates in Zambia.
TRIAL REGISTRATION BACKGROUND
Pan African Clinical Trial Registry PACTR202101847907585; https://pactr.samrc.ac.za/TrialDisplay.aspx?TrialID=14613.

Identifiants

pubmed: 39348170
pii: v26i1e54304
doi: 10.2196/54304
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

e54304

Informations de copyright

©Jacob Mutale, Kombatende Sikombe, Boroma Mwale, Mwansa Lumpa, Sandra Simbeza, Chama Bukankala, Njekwa Mukamba, Aaloke Mody, Laura K Beres, Charles B Holmes, Carolyn Bolton Moore, Elvin H Geng, Izukanji Sikazwe, Jake M Pry. Originally published in the Journal of Medical Internet Research (https://www.jmir.org), 30.09.2024.

Auteurs

Jacob Mutale (J)

Data Unit, Centre for Infectious Disease Research, Lusaka, Zambia.

Kombatende Sikombe (K)

Implementation Science Unit, Centre for Infectious Disease Research, Lusaka, Zambia.

Boroma Mwale (B)

Analysis Unit, Centre for Infectious Disease Research, Lusaka, Zambia.

Mwansa Lumpa (M)

Data Unit, Centre for Infectious Disease Research, Lusaka, Zambia.

Sandra Simbeza (S)

Implementation Science Unit, Centre for Infectious Disease Research, Lusaka, Zambia.

Chama Bukankala (C)

Data Unit, Centre for Infectious Disease Research, Lusaka, Zambia.

Njekwa Mukamba (N)

Social Science Research Unit, Centre for Infectious Disease Research, Lusaka, Zambia.

Aaloke Mody (A)

School of Medicine, Washington University, St. Louis, MO, United States.

Laura K Beres (LK)

School of Public Health, Johns Hopkins University, Baltimore, MD, United States.

Charles B Holmes (CB)

School of Medicine, Georgetown University, Washington, DC, DC, United States.

Carolyn Bolton Moore (C)

Implementation Science Unit, Centre for Infectious Disease Research, Lusaka, Zambia.
School of Medicine, University of Alabama, Birmingham, AL, United States.

Elvin H Geng (EH)

School of Medicine, Washington University, St. Louis, MO, United States.

Izukanji Sikazwe (I)

Implementation Science Unit, Centre for Infectious Disease Research, Lusaka, Zambia.

Jake M Pry (JM)

Implementation Science Unit, Centre for Infectious Disease Research, Lusaka, Zambia.
School of Medicine, University of California, Davis, Sacramento, CA, United States.

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