ArticleJMIR mHealth and uHealth2017
Usability of a Novel Mobile Health iPad App by Vulnerable Populations.
Article in JMIR mHealth and uHealth, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 3 registered trials, which are not on this map. Cited by 31 papers, 2 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.
Effectiveness and Implementation of mPATH-CRC: a Mobile Health System for Colorectal Cancer Screening
Addressing Social Determinants of Health to Reduce Physician Burnout
A Pragmatic Randomized-Controlled Trial of a Digital Outreach Intervention for Lung Cancer Screening: mPATH-Lung (Mobile Patient Technology for Health-Lung)
Who cites it
31 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Understanding Inequalities in Mobile Health Utilization Across Phases: Systematic Review and Meta-Analysis.Journal of medical Internet research · 2025Pooled it
- Comprehensively addressing postpartum maternal health: a content and image review of commercially available mobile health apps.BMC pregnancy and childbirth · 2021Pooled it
- Trial
- Health Within Reach-a Patient-Centered Intervention to Increase Hepatitis B Screening Among Asian Americans: a Randomized Clinical Trial.Journal of general internal medicine · 2022Trial
- Supervised Exercise Therapy Using Mobile Health Technology in Patients With Peripheral Arterial Disease: Pilot Randomized Controlled Trial.JMIR mHealth and uHealth · 2021Trial
- Effect of a Digital Health Intervention on Receipt of Colorectal Cancer Screening in Vulnerable Patients: A Randomized Controlled Trial.Annals of internal medicine · 2018Trial
- Review
- Identification of the Needs and Preferences of Patients With Cancer for the Development of a Clinic App: Qualitative Study.JMIR cancer · 2023Article
- The Effect of Periodic Email Prompts on Participant Engagement With a Behavior Change mHealth App: Longitudinal Study.JMIR mHealth and uHealth · 2023Article
- Effectiveness and implementation of mPATH™-CRC: a mobile health system for colorectal cancer screening.Trials · 2023Article
- Adaptation of a Personalized Electronic Care Planning Tool for Cancer Follow-up Care: Formative Study.JMIR formative research · 2023Article
- Usability evaluation of mHealth apps for elderly individuals: a scoping review.BMC medical informatics and decision making · 2022Article
- Online self-exclusion from multiple gambling venues: Stakeholder co-design of a usable and acceptable self-directed website.Internet interventions · 2022Article
- Evaluation of mHealth Apps for Diverse, Low-Income Patient Populations: Framework Development and Application Study.JMIR formative research · 2022Article
- Adoption of the Website and Mobile App of a Preventive Health Program Across Neighborhoods With Different Socioeconomic Conditions in the Netherlands: Longitudinal Study.JMIR human factors · 2022Article
- Facilitators and Barriers to Implementing a Digital Informed Decision Making Tool in Primary Care: A Qualitative Study.Applied clinical informatics · 2022Article
- Telehealth Literacy as a Social Determinant of Health: A Novel Screening Tool to Support Vulnerable Patient Equity.Journal of Alzheimer's disease reports · 2022Article
- Article
- Designing User-Centered Mobile Health Initiatives to Promote Healthy Behaviors for Children With Disabilities: Development and Usability Study.JMIR formative research · 2021Article
- Feasibility of Mobile Technology to Identify and Address Patients' Unmet Social Needs in a Primary Care Clinic.Population health management · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
Abstract
backgroundRecent advances in mobile technologies have created new opportunities to reach broadly into populations that are vulnerable to health disparities. However, mobile health (mHealth) strategies could paradoxically increase health disparities, if low socioeconomic status individuals lack the technical or literacy skills needed to navigate mHealth programs.
objectiveThe aim of this study was to determine whether patients from vulnerable populations could successfully navigate and complete an mHealth patient decision aid.
methodsWe analyzed usability data from a randomized controlled trial of an iPad program designed to promote colorectal cancer (CRC) screening. The trial was conducted in six primary care practices and enrolled 450 patients, aged 50-74 years, who were due for CRC screening. The iPad program included a self-survey and randomly displayed either a screening decision aid or a video about diet and exercise. We measured participant ability to complete the program without assistance and participant-rated program usability.
resultsTwo-thirds of the participants (305/450) were members of a vulnerable population (limited health literacy, annual income < US $20,000, or black race). Over 92% (417/450) of the participants rated the program highly on all three usability items (90.8% for vulnerable participants vs 96.6% for nonvulnerable participants, P=.006). Only 6.9% (31/450) of the participants needed some assistance to complete the program. In multivariable logistic regression, being a member of a vulnerable population was not associated with needing assistance. Only older age, less use of text messaging (short message service, SMS), and lack of Internet use predicted needing assistance.
conclusionsIndividuals who are vulnerable to health disparities can successfully use well-designed mHealth programs. Future research should investigate whether mHealth interventions can reduce health disparities.
Indexed as
Identifiers
What 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.