Evidence map›Paper›PMID 37851669›Full record

ArticlePloS one2023

"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.

Rasheeta Chandler, Dominique Guillaume, Sherilyn Francis, Eric Xue, Kewal Shah, Andrea Parker, Natalie Hernandez

Abstract read
In one paragraph

Article in PloS one, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. User Input in the Development of Digital Sexual Health Tools: A Scoping Review and Guidance for Tool Developers.Health expectations : an international journal of public participation in health care and health policy · 2025
    Article
  6. Article
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

7 authors.

Rasheeta ChandlerNell Hodgson Woodruff School of Nursing, Emory University, Atlanta, GA, United States of America.ORCID 0000-0003-2021-6346
Dominique GuillaumeNell Hodgson Woodruff School of Nursing, Emory University, Atlanta, GA, United States of America.ORCID 0000-0003-3963-4986
Sherilyn FrancisSchool of Interactive Computing, College of Computing, Georgia Institute of Technology, Atlanta, Georgia, United States of America.ORCID 0000-0002-3072-5139
Eric XueSchool of Interactive Computing, College of Computing, Georgia Institute of Technology, Atlanta, Georgia, United States of America.
Kewal ShahSchool of Interactive Computing, College of Computing, Georgia Institute of Technology, Atlanta, Georgia, United States of America.
Andrea ParkerSchool of Interactive Computing, College of Computing, Georgia Institute of Technology, Atlanta, Georgia, United States of America.
Natalie HernandezCenter for Maternal Health Equity, Community Health and Preventive Medicine, Morehouse School of Medicine, Atlanta, Georgia, United States of America.

Funding

Training Program for Scientists Conducting Research to Reduce HIV Health DisparitR25MH067127 · NIMH · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Emily A Arnold, Torsten Brian Neilands · 2003 to 2026
$5.4M
In-the-kNOW (Novel approaches to Optimizing Women’s Health): A mobile application to optimize HIV prevention and sexual/reproductive health communication among Black women in the Southern U.S.R34MH128048 · NIMH · EMORY UNIVERSITY · PI CHANDLER, RASHEETA · 2021 to 2023
$709k
NIMH NIH HHS R25 MH067127NIMH NIH HHS R34 MH128048
6 · The paper itself

Abstract

backgroundBlack 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.

methodsAn 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.

resultsParticipants 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.

conclusionFurther 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.

Indexed as

Black or African AmericanHealthHIV InfectionsMobile ApplicationsBlack PeopleCross-Sectional StudiesExerciseFemaleGeorgiaHealth InequitiesHumansMental HealthQualitative ResearchReproductive HealthSexual HealthTelemedicine

Identifiers

PMID37851669
PMCPMC10584133

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

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 Socratic graph.