ArticleJournal of health disparities research and practice
Can mHealth Improve Risk Assessment in Underserved Populations? Acceptability of a Breast Health Questionnaire App in Ethnically Diverse, Older, Low-Income Women.
Article in Journal of health disparities research and practice. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 4 of them syntheses that pooled 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.
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.
Who cites it
18 citing papers in PubMed, 4 syntheses or guidelines pooled it, 30 citations in OpenAlex.
- Effect of electronic health (eHealth) on quality of life in women with breast cancer: A systematic review and meta-analysis of randomized controlled trials.Cancer medicine · 2023Pooled it
- A Systematic Review of Electronic Health (eHealth) interventions to improve physical activity in patients with breast cancer.Breast cancer (Tokyo, Japan) · 2020Pooled it
- The Use of Cancer-Specific Patient-Centered Technologies Among Underserved Populations in the United States: Systematic Review.Journal of medical Internet research · 2019Pooled it
- Mobilizing Breast Cancer Prevention Research Through Smartphone Apps: A Systematic Review of the Literature.Frontiers in public health · 2019Pooled it
- Patient Satisfaction with Mobile Health (mHealth) Application for Exercise Intervention in Breast Cancer Survivors.Journal of medical systems · 2018Trial
- Centering Equity During Health Technology Innovation: Scoping Review of Methods and Research Adjustments to Promote Inclusive Coproduction.Journal of medical Internet research · 2026Article
- Barriers and benefits of mHealth for community health workers in integrated community case management of childhood diseases in Banda Parish, Kampala, Uganda: a cross-sectional study.BMC primary care · 2024Article
- User Friendliness and Perioperative Guidance Benefits of a Cataract Surgery Education App: Randomized Controlled Trial.JMIR formative research · 2024Article
- A Call to Action on Assessing and Mitigating Bias in Artificial Intelligence Applications for Mental Health.Perspectives on psychological science : a journal of the Association for Psychological Science · 2023Review
- Identification of the Needs and Preferences of Patients With Cancer for the Development of a Clinic App: Qualitative Study.JMIR cancer · 2023Article
- Acceptability of digital health interventions: embracing the complexity.Translational behavioral medicine · 2021Review
- Article
- Development of the InCharge Health Mobile App to Improve Adherence to Hydroxyurea in Patients With Sickle Cell Disease: User-Centered Design Approach.JMIR mHealth and uHealth · 2020Article
- Patient characteristics associated with objective measures of digital health tool use in the United States: A literature review.Journal of the American Medical Informatics Association : JAMIA · 2020Article
- 3MD for Chronic Conditions, a Model for Motivational mHealth Design: Embedded Case Study.JMIR serious games · 2018Article
- Usability of a Novel Mobile Health iPad App by Vulnerable Populations.JMIR mHealth and uHealth · 2017Article
- Evaluating Patient Usability of an Image-Based Mobile Health Platform for Postoperative Wound Monitoring.JMIR mHealth and uHealth · 2016Article
- Patient-generated health data: a pathway to enhanced long-term cancer survivorship.Journal of the American Medical Informatics Association : JAMIA · 2016Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 1 institution in 1 country.
Funding
Abstract
backgroundUse of mobile health (mHealth) tools has expanded rapidly but little research has been done on its acceptability by low-income, diverse, older patient populations.
objectiveTo assess the attitudes of a diverse group of underserved women on the acceptability and usability of mHealth tools in a clinical setting using a breast health questionnaire application (app) at a public hospital mammography clinic.
methodsSemi-structured interviews were conducted in a breast-imaging center of an urban safety net institution from July-August 2012. Interviews included pre- and post-questions. Women completed the Athena breast health questionnaire app on an iPad and were asked about their experience and ways to improve the tool.
resultsFifteen women age 45-79 years from diverse ethnic and educational backgrounds were interviewed. The majority of women, 11 of 15, preferred the Athena app over a paper version and all the women thought the app was easy to use. Two Spanish-speaking Latinas preferred paper; and two women, with limited mobile phone use, did not have a preference. Many women indicated that it would be necessary to have staff available for instruction and assistance if the app were to be implemented.
conclusionsmHealth tools are an acceptable, if not preferred, method of collecting health information for diverse, older, low-income women. Further studies are required to evaluate the reliability and accuracy of data collection using mHealth tools in underserved populations. mHealth tools should be explored as a novel way to engage diverse populations to improve clinical care and bridge gaps in health disparities.
Indexed as
Identifiers
25705576PMC4335717W149224029What OpenQuestion holds
Registered trials
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.