ArticleJMIR mHealth and uHealth2019
Factors Determining Patients' Choice Between Mobile Health and Telemedicine: Predictive Analytics Assessment.
Article in JMIR mHealth and uHealth, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 1 of them a synthesis that pooled it.
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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
21 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Online Medical Consultation Service-Oriented Recommendations: Systematic Review.Journal of medical Internet research · 2024Pooled it
- Assessing Differences in mHealth Usability and App Experiences Among Young African American Women: Secondary Analysis of a Randomized Controlled Trial.JMIR human factors · 2024Trial
- AI-Enhanced Predictive Analytics to Optimize Tele-Oncology Implementation in Rural Settings: Scoping Review.JMIR cancer · 2026Article
- Patient Experiences with Virtual Nursing: A Qualitative Survey.Studies in health technology and informatics · 2025Article
- "A lot of the answers come from within you as well": benefits and limitations to utilizing and adapting a virtual platform to enhance social interaction and group learning.BMC digital health · 2025Article
- A determination of patient preferences for China online outpatient follow-up clinics by using discrete choice experiment: an exploratory study.Frontiers in public health · 2025Article
- Patient Characteristics Associated With Phone and Video Visits at a Tele-Urgent Care Center During the Initial COVID-19 Response: Cross-Sectional Study.Online journal of public health informatics · 2024Article
- Contributions of digital social research to develop Telemedicine in Calabria (Southern Italy): identification of inequalities in post-COVID-19.Frontiers in sociology · 2023Article
- Telemedicine Use in Refugee Primary Care: Implications for Care Beyond the COVID-19 Pandemic.Journal of immigrant and minority health · 2022Article
- The Impact of Telemedicine in the Diagnosis of Erythema Migrans during the COVID Pandemic: A Comparison with In-Person Diagnosis in the Pre-COVID Era.Pathogens (Basel, Switzerland) · 2022Article
- Assessing Elderly User Preference for Telehealth Solutions in China: Exploratory Quantitative Study.JMIR mHealth and uHealth · 2022Article
- Changes in Patient Characteristics and Practice Outcomes of a Tele-Urgent Care Clinic Pre- and Post-COVID-19 Telehealth Policy Expansions.Perspectives in health information managemen · 2022Article
- Real-World Experience of mHealth Implementation in Clinical Practice (the Box): Design and Usability Study.JMIR cardio · 2021Article
- Analysis of Social Determinants and the Utilization of Pediatric Tele-Urgent Care During the COVID-19 Pandemic: Cross-sectional Study.JMIR pediatrics and parenting · 2021Article
- Telemedicine in an Academic Movement Disorders Center during COVID-19.Journal of movement disorders · 2021Article
- Factors Influencing Patients' Initial Decisions Regarding Telepsychiatry Participation During the COVID-19 Pandemic: Telephone-Based Survey.JMIR formative research · 2020Article
- Acceptability of Telemedicine Features to Promote Its Uptake in Practice: A Survey of Community Telemental Health Providers.International journal of environmental research and public health · 2020Article
- SARS-CoV-2-related rapid reorganization of an epilepsy outpatient clinic from personal appointments to telemedicine services: A German single-center experience.Epilepsy & behavior : E&B · 2020Article
- Implementation and Application of Telemedicine in China: Cross-Sectional Study.JMIR mHealth and uHealth · 2020Article
- Evaluating the Telehealth Experience of Patients With COVID-19 Symptoms: Recommendations on Best Practices.Journal of patient experience · 2020Article
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe solution to the growing problem of rural residents lacking health care access may be found in the use of telemedicine and mobile health (mHealth). Using mHealth or telemedicine allows patients from rural or remote areas to have better access to health care.
objectiveThe objective of this study was to understand factors influencing the choice of communication medium for receiving care, through the analysis of mHealth versus telemedicine encounters with a virtual urgent clinic.
methodsWe conducted a postdeployment evaluation of a new virtual health care service, Virtual Urgent Clinic, which uses mHealth and telemedicine modalities to provide patient care. We used a multinomial logistic model to test the significance and predictive power of a set of features in determining patients' preferred method of telecare encounters-a nominal outcome variable of two levels (mHealth and telemedicine).
resultsPostdeployment, 1403 encounters were recorded, of which 1228 (87.53%) were completed with mHealth and 175 (12.47%) were telemedicine encounters. Patients' sex (P=.004) and setting (P<.001) were the most predictive determinants of their preferred method of telecare delivery, with significantly small P values of less than .01. Pearson chi-square test returned a strong indication of dependency between chief concern and encounter mediums, with an extremely small P<.001. Of the 169 mHealth patients who responded to the survey, 154 (91.1%) were satisfied by their encounter, compared with 31 of 35 (89%) telemedicine patients.
conclusionsWe studied factors influencing patients' choice of communication medium, either mHealth or telemedicine, for a virtual care clinic. Sex and geographic location, as well as their chief concern, were strong predictors of patients' choice of communication medium for their urgent care needs. This study suggests providing the option of mHealth or telemedicine to patients, and suggesting which medium would be a better fit for the patient based on their characteristics.
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