"I care about sex, I care about my health": A mixed-methods pre-test of a HIV prevention mobile health app for Black women in the southern United States.


Journal

PloS one
ISSN: 1932-6203
Titre abrégé: PLoS One
Pays: United States
ID NLM: 101285081

Informations de publication

Date de publication:
2023
Historique:
received: 05 01 2023
accepted: 27 07 2023
medline: 23 10 2023
pubmed: 18 10 2023
entrez: 18 10 2023
Statut: epublish

Résumé

Black women experience higher rates of adverse sexual and reproductive health and HIV outcomes, however the use of mHealth to address these health disparities in this population has been inadequate. This study involved a one-month pre-test with Black women living in metro-Atlanta to evaluate the usability, acceptability, and engagement of an HIV prevention app SavvyHER. An explanatory mixed-methods design was employed in which quantitative data was collected through weekly cross-sectional surveys, and qualitative data was collected through semi-structured in-depth interviews. Descriptive and ANOVA analysis was conducted for the quantitative data using STATA software. Qualitative data was analyzed through qualitative descriptive methods on Atlas.ti. Participants had high levels of acceptability towards the app and used SavvyHER moderately. The most frequently used features were live groups (2.96 ±0.22, 95% CI 2.51,3.41), viewing resources and educational information (2.77 ± 0.21, 95% CI 2.33,3.20), and mental health monitoring (2.73 ±0.21, 95% CI 2.29,3.12). The least used features were pregnancy symptom monitoring (1.92 ±0.27, 95% CI 1.38,2.47) and STI symptom monitoring (2.0 ±0.25, 95% CI 1.48,2.52). In qualitative interviews, several women discussed how the ability to engage in active discussions and join live sessions with other end-users was a favorable aspect of SavvyHER. Although the app's primary focus was on sexual and reproductive health and HIV prevention, women were more likely to access mental health monitoring and physical activity monitoring features. Women expressed their fondness of the app design and interface as it was reflective of the diversity of Black women. Further research is needed to explore the efficacy in using SavvyHER and additional mHealth interventions to enhance Black women's sexual and reproductive health and overall wellness.

Sections du résumé

BACKGROUND
Black women experience higher rates of adverse sexual and reproductive health and HIV outcomes, however the use of mHealth to address these health disparities in this population has been inadequate. This study involved a one-month pre-test with Black women living in metro-Atlanta to evaluate the usability, acceptability, and engagement of an HIV prevention app SavvyHER.
METHODS
An explanatory mixed-methods design was employed in which quantitative data was collected through weekly cross-sectional surveys, and qualitative data was collected through semi-structured in-depth interviews. Descriptive and ANOVA analysis was conducted for the quantitative data using STATA software. Qualitative data was analyzed through qualitative descriptive methods on Atlas.ti.
RESULTS
Participants had high levels of acceptability towards the app and used SavvyHER moderately. The most frequently used features were live groups (2.96 ±0.22, 95% CI 2.51,3.41), viewing resources and educational information (2.77 ± 0.21, 95% CI 2.33,3.20), and mental health monitoring (2.73 ±0.21, 95% CI 2.29,3.12). The least used features were pregnancy symptom monitoring (1.92 ±0.27, 95% CI 1.38,2.47) and STI symptom monitoring (2.0 ±0.25, 95% CI 1.48,2.52). In qualitative interviews, several women discussed how the ability to engage in active discussions and join live sessions with other end-users was a favorable aspect of SavvyHER. Although the app's primary focus was on sexual and reproductive health and HIV prevention, women were more likely to access mental health monitoring and physical activity monitoring features. Women expressed their fondness of the app design and interface as it was reflective of the diversity of Black women.
CONCLUSION
Further research is needed to explore the efficacy in using SavvyHER and additional mHealth interventions to enhance Black women's sexual and reproductive health and overall wellness.

Identifiants

pubmed: 37851669
doi: 10.1371/journal.pone.0289884
pii: PONE-D-23-00433
pmc: PMC10584133
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

e0289884

Subventions

Organisme : NIMH NIH HHS
ID : R34 MH128048
Pays : United States

Informations de copyright

Copyright: © 2023 Chandler et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Déclaration de conflit d'intérêts

The authors have declared that no competing interests exist.

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Auteurs

Rasheeta Chandler (R)

Nell Hodgson Woodruff School of Nursing, Emory University, Atlanta, GA, United States of America.

Dominique Guillaume (D)

Nell Hodgson Woodruff School of Nursing, Emory University, Atlanta, GA, United States of America.
Center for Infectious Disease and Nursing Innovation, School of Nursing, Johns Hopkins University, Baltimore, MD, United States of America.

Sherilyn Francis (S)

School of Interactive Computing, College of Computing, Georgia Institute of Technology, Atlanta, Georgia, United States of America.

Eric Xue (E)

School of Interactive Computing, College of Computing, Georgia Institute of Technology, Atlanta, Georgia, United States of America.

Kewal Shah (K)

School of Interactive Computing, College of Computing, Georgia Institute of Technology, Atlanta, Georgia, United States of America.

Andrea Parker (A)

School of Interactive Computing, College of Computing, Georgia Institute of Technology, Atlanta, Georgia, United States of America.

Natalie Hernandez (N)

Center for Maternal Health Equity, Community Health and Preventive Medicine, Morehouse School of Medicine, Atlanta, Georgia, United States of America.

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Classifications MeSH