ReviewJournal of biomedical physics & engineering2017
Acceptance of Health Information Technologies, Acceptance of Mobile Health: A Review Article.
Review in Journal of biomedical physics & engineering, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.
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
19 citing papers in PubMed, 28 citations in OpenAlex.
- The Longevity of Mobile Apps for Cancer Recovery: Scoping Review.JMIR cancer · 2026Article
- The intention to adopt mental mHealth services in emergencies: pre-engagement social determinants of PTSD-Coach app use.Frontiers in digital health · 2026Article
- IoT-based health monitoring and social welfare access for Thailand's older adults.Frontiers in digital health · 2026Article
- Intention to use mobile phone-based TB screening among HIV patients in Debre Tabor Town public health facilities, Northwest Ethiopia: a cross-sectional study.BMC public health · 2025Article
- Acceptance and adoption determinants of telemedicine in public healthcare institutions.Curationis · 2025Article
- Acceptance and use of mobile health technology in post-abortion care.BMC health services research · 2024Article
- Motivating and inhibiting factors influencing the application of mhealth technology in post-abortion care: a review study.BMC pregnancy and childbirth · 2024Review
- Article
- Using Extended Technology Acceptance Model to Assess the Adopt Intention of a Proposed IoT-Based Health Management Tool.Sensors (Basel, Switzerland) · 2022Article
- The development of an instrument to predict patients' adoption of mHealth in the developing world.Informatics in medicine unlocked · 2022Article
- Mobile Health Technology and Healthcare Providers: Systemic Barriers to Adoption.Healthcare informatics research · 2021Article
- Implantation of an Innovative Intracardiac Microcomputer System for Web-Based Real-Time Monitoring of Heart Failure: Usability and Patients' Attitudes.JMIR cardio · 2021Article
- Complex System for Monitoring the Patient's Condition and Diagnosis of Bronchial Asthma.Journal of biomedical physics & engineering · 2020Article
- Evaluation of effective factors in the acceptance of mobile health technology using the unified theory of acceptance and use of technology (UTAUT), case study: Blood transfusion complications in thalassemia patients.Medical journal of the Islamic Republic of Iran · 2020Article
- The Features of Mobile-Based Software in Self-Management of Patients with Asthma: A Review Article.Tanaffos · 2020Review
- Characterizing Consumer Behavior in Leveraging Social Media for E-Patient and Health-Related Activities.International journal of environmental research and public health · 2019Article
- Creation Process of the Digital Platform to Foster Healthy and Active Aging:Frontiers in public health · 2019Article
- A Mobile App (iBeni) With a Neuropsychological Basis for Cognitive Stimulation for Elderly Adults: Pilot and Validation Study.JMIR research protocols · 2018Article
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundMobile health is one of the new technologies for the utilization of health information. For its successful implementation as well as any other system, we must primarily measure the adoption and use of its factors. The purpose of this study was to systematically investigate published articles about the factors affecting the adoption of mobile health and categorizing the factors affecting the adoption of this system.
methodsThis study is a comprehensive review done by searching major databases such as Google Scholar, Emerald, Science Direct, Iran Medex, SID, Magiran, Pub med, etc. In addition, we use Mobile, mobile Health + adoption, mobile Health + TAM, Health + TAM keywords in the range of 2004 to 2015.
resultsAmong the studies that use information technology theories to survey the factors affecting the adoption of mobile health, TAM model was used more than other models. Factors such as perceived ease of use, perceived usefulness and facilitating condition form TUATU are the most effective in the adoption of mobile health.
conclusionResults showed that by considering factors such as perceived ease of use, perceived usefulness and facilitating condition can increase the adoption of mobile health system. Consequently, these factors are recommended to be considered in planning to run systems.
Indexed as
Identifiers
29445717PMC5809934W2523305069What 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.