ReviewYearbook of medical informatics2015
Mobile Applications for Patient-centered Care Coordination: A Review of Human Factors Methods Applied to their Design, Development, and Evaluation.
Review in Yearbook of medical informatics, 2015. 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.
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
21 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Are We There Yet? Human Factors Knowledge and Health Information Technology - the Challenges of Implementation and Impact.Yearbook of medical informatics · 2017Pooled it
- Clinical Decision Support for Digital Dietary Counseling Under GLP-1 Receptor Agonist Therapy: Convergent Mixed Methods Usability and Treatment Satisfaction Pilot Study of the Personalized Nutrition Advisor.JMIR formative research · 2026Article
- An umbrella review on how digital health intervention co-design is conducted and described.NPJ digital medicine · 2024Article
- Patient Engagement and Medication Consistency with Adolescent Heart Transplant Recipients.Proceedings. IEEE International Conference on Healthcare Informatics · 2024Article
- Extracting Medical Information From Free-Text and Unstructured Patient-Generated Health Data Using Natural Language Processing Methods: Feasibility Study With Real-world Data.JMIR formative research · 2023Article
- A GDPR-Compliant Dynamic Consent Mobile Application for the Australasian Type-1 Diabetes Data Network.Healthcare (Basel, Switzerland) · 2023Article
- Health Information Technologies in a Resource-Limited Setting: Knowledge, Attitude, and Practice of Health Professionals.BioMed research international · 2023Article
- A knowledge-based self-pre-diagnosis system to predict Covid-19 in smartphone users using personal data and observed symptoms.Expert systems · 2022Article
- "Hey Siri, Help Me Take Care of My Child": A Feasibility Study With Caregivers of Children With Special Healthcare Needs Using Voice Interaction and Automatic Speech Recognition in Remote Care Management.Frontiers in public health · 2022Article
- Article
- Patterns of digital information and communication technology use among patients at primary health care centres in Colombia: Phase I of the DIADA project.Revista Colombiana de psiquiatria · 2021Article
- Feasibility of a Voice-Enabled Medical Diary App (SpeakHealth) for Caregivers of Children With Special Health Care Needs and Health Care Providers: Mixed Methods Study.JMIR formative research · 2021Article
- Artificial Intelligence-Powered Smartphone App to Facilitate Medication Adherence: Protocol for a Human Factors Design Study.JMIR research protocols · 2020Article
- Codesign and Usability Testing of a Mobile Application to Support Family-Delivered Enteral Tube Care.Hospital pediatrics · 2020Article
- Capturing At-Home Health and Care Information for Children With Medical Complexity Using Voice Interactive Technologies: Multi-Stakeholder Viewpoint.Journal of medical Internet research · 2020Article
- A Technology-Assisted, Brief Mind-Body Intervention to Improve the Waiting Room Experience for Chemotherapy Patients: Randomized Quality Improvement Study.JMIR cancer · 2019Article
- Methods for Evaluating the Content, Usability, and Efficacy of Commercial Mobile Health Apps.JMIR mHealth and uHealth · 2017Article
- Posttraumatic Stress Disorder and Mobile Health: App Investigation and Scoping Literature Review.JMIR mHealth and uHealth · 2017Article
- Systematic Review of Data Mining Applications in Patient-Centered Mobile-Based Information Systems.Healthcare informatics research · 2017Article
- Impact of Patient-centered eHealth Applications on Patient Outcomes: A Review on the Mediating Influence of Human Factor Issues.Yearbook of medical informatics · 2016Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectivesTo examine if human factors methods were applied in the design, development, and evaluation of mobile applications developed to facilitate aspects of patient-centered care coordination.
methodsWe searched MEDLINE and EMBASE (2013-2014) for studies describing the design or the evaluation of a mobile health application that aimed to support patients' active involvement in the coordination of their care.
results34 papers met the inclusion criteria. Applications ranged from tools that supported self-management of specific conditions (e.g. asthma) to tools that provided coaching or education. Twelve of the 15 papers describing the design or development of an app reported the use of a human factors approach. The most frequently used methods were interviews and surveys, which often included an exploration of participants' current use of information technology. Sixteen papers described the evaluation of a patient application in practice. All of them adopted a human factors approach, typically an examination of the use of app features and/or surveys or interviews which enquired about patients' views of the effects of using the app on their behaviors (e.g. medication adherence), knowledge, and relationships with healthcare providers. No study in our review assessed the impact of mobile applications on health outcomes.
conclusionThe potential of mobile health applications to assist patients to more actively engage in the management of their care has resulted in a large number of applications being developed. Our review showed that human factors approaches are nearly always adopted to some extent in the design, development, and evaluation of mobile applications.
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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.