ArticleJournal of medical systems2012
Determining patient preferences for remote monitoring.
Article in Journal of medical systems, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
14 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Applying the Analytic Hierarchy Process in healthcare research: A systematic literature review and evaluation of reporting.BMC medical informatics and decision making · 2015Pooled it
- The patient perspective of diabetes care: a systematic review of stated preference research.The patient · 2014Pooled it
- A 3-Month Randomized Controlled Pilot Trial of a Patient-Centered, Computer-Based Self-Monitoring System for the Care of Type 2 Diabetes Mellitus and Hypertension.Journal of medical systems · 2016Trial
- Women's Preferences in Early Pregnancy Loss Management: A Focus on Psychological Considerations Using the Analytic Hierarchy Process.The patient · 2026Article
- How do patients with primary hypertension assess different endpoints of their treatment? a survey using analytic hierarchy process.Journal of human hypertension · 2026Article
- Factors Affecting Telehealth Consultation in Diabetic Patients: A Systematic Scoping Review.International journal of telemedicine and applications · 2026Review
- Antecedents of Intention to Adopt Mobile Health (mHealth) Application and Its Impact on Intention to Recommend: An Evidence from Indonesian Customers.International journal of telemedicine and applications · 2021Article
- Factors Influencing the Acceptance of Pediatric Telemedicine Services in China: A Cross-Sectional Study.Frontiers in pediatrics · 2021Article
- User-Centered Adaptation of an Existing Heart Failure Telemonitoring Program to Ensure Sustainability and Scalability: Qualitative Study.JMIR cardio · 2018Article
- Electronic Assessment of Physical Decline in Geriatric Cancer Patients.Current oncology reports · 2018Review
- Cardiac patients show high interest in technology enabled cardiovascular rehabilitation.BMC medical informatics and decision making · 2016Article
- Study protocol: mobile improvement of self-management ability through rural technology (mI SMART).SpringerPlus · 2015Article
- Perception of Influencing Factors on Acceptance of Mobile Health Monitoring Service: A Comparison between Users and Non-users.Healthcare informatics research · 2013Article
- Using mHealth Tools to Improve Rural Diabetes Care Guided by the Chronic Care Model.Online journal of rural nursing and health care : the official journal of the Rural Nurse OrganizationArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
This paper presents the patient preferences for an application in remote health monitoring. The data was collected through a mobile service prototype. Analytical Hierarchy Process and Conjoint Analysis were used to extract the patient preferences. The study was limited to diabetes and obesity patients in Istanbul, Turkey. Results indicated that sending users' data automatically, availability of technical support, and price are key factors impacting patient's decisions. This implies that e-health service providers and designers should focus on the services that enable users to send measurement results automatically instead of manually.
Indexed as
Identifiers
20941639What 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.