ArticleBMC family practice2017
Self-monitoring of health data by patients with a chronic disease: does disease controllability matter?
Article in BMC family practice, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers, 3 of them syntheses that pooled it.
What it found
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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
30 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- Patient participation in self-monitoring regarding healthcare of heart failure: an integrated systematic review.BMC primary care · 2025Pooled it
- Factors influencing the effectiveness of remote patient monitoring interventions: a realist review.BMJ open · 2021Pooled it
- The General Self-Efficacy of Older Adults Receiving Care: A Systematic Review and Meta-Analysis.The Gerontologist · 2021Pooled it
- Self-Monitoring and Self-Efficacy in Patients with Chronic Kidney Disease During Low-Sodium Diet Self-Management Interventions: Secondary Analysis of the ESMO and SUBLIME Trials.International journal of behavioral medicine · 2025Trial
- Effects of Activity Tracker Use With Health Professional Support or Telephone Counseling on Maintenance of Physical Activity and Health Outcomes in Older Adults: Randomized Controlled Trial.JMIR mHealth and uHealth · 2021Trial
- Patients' and Health Care Professionals' Experiences of a Digital Self-Management System for Asthma: Qualitative Study.JMIR human factors · 2026Article
- Unlocking the Value of Patient Self-Monitoring Technologies: A Multi-Country Framework to Calibrate Payer and HTA Coverage and Reimbursement Considerations with Innovation.Journal of health economics and outcomes research · 2026Article
- Design, Implementation, and Evaluation of a Community-Based Phygital Telemonitoring Program for Older Adults: Multisite Retrospective Pilot Study in Singapore.JMIR formative research · 2025Article
- Facilitating and Hindering Factors of Health Help-Seeking Behavior in Patients with Chronic Diseases: A Qualitative Study.Healthcare (Basel, Switzerland) · 2025Article
- Vital Sign and Biochemical Data Collection Using Non-contact Photoplethysmography and the Comestai Mobile Health App: Protocol for an Observational Study.JMIR research protocols · 2025Article
- Article
- Evaluating the Clinical Use and Utility of a Digital Support App for Employees With Chronic Pain Returning to Work (SWEPPE): Observational Study.JMIR human factors · 2023Observational
- Self-care nursing assessment: cross-cultural adaptation and validation of the Spanish version of the Self-care of chronic illness inventory.BMC nursing · 2023Article
- Self-Monitoring Diabetes-Related Foot Ulcers with the MyFootCare App: A Mixed Methods Study.Sensors (Basel, Switzerland) · 2023Article
- A web-based survey on self-management for patients with inflammatory bowel disease in Japan.PloS one · 2023Article
- Development and psychometric evaluation of the CanSmart questionnaire to measure chronic disease self-management tasks.BMC psychology · 2022Article
- The Effectiveness of Assistive Technologies for Older Adults and the Influence of Frailty: Systematic Literature Review of Randomized Controlled Trials.JMIR aging · 2022Review
- Blood Pressure Monitoring as a Digital Health Tool for Improving Diabetes Clinical Outcomes: Retrospective Real-world Study.Journal of medical Internet research · 2022Article
- Toward the Value Sensitive Design of eHealth Technologies to Support Self-management of Cardiovascular Diseases: Content Analysis.JMIR cardio · 2021Article
- E-diary use in clinical headache practice: A prospective observational study.Cephalalgia : an international journal of headache · 2021Observational
Corrections and comments
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThere is a growing emphasis on self-monitoring applications that allow patients to measure their own physical health parameters. A prerequisite for achieving positive effects is patients' willingness to self-monitor. The controllability of disease types, patients' perceived self-efficacy and health problems could play an essential role in this. The purpose of this study is to investigate the relationship between patients' willingness to self-monitor and a range of disease and patient specific variables including controllability of disease type, patients' perceived self-efficacy and health problems.
methodsData regarding 627 participants with 17 chronic somatic disease types from a Dutch panel of people with chronic diseases have been used for this cross-sectional study. Perceived self-efficacy was assessed using the general self-efficacy scale, perceived health problems using the Physical Health Composite Score (PCS). Participants indicated their willingness to self-monitor. An expert panel assessed for 17 chronic disease types the extent to which patients can independently keep their disease in control. Logistic regression analyses were conducted.
resultsPatients' willingness to self-monitor differs greatly among disease types: patients with diabetes (71.0%), asthma (59.6%) and hypertension (59.1%) were most willing to self-monitor. In contrast, patients with rheumatism (40.0%), migraine (41.2%) and other neurological disorders (42.9%) were less willing to self-monitor. It seems that there might be a relationship between disease controllability scores and patients' willingness to self-monitor. No evidence is found of a relationship between general self-efficacy and PCS scores, and patients' willingness to self-monitor.
conclusionsThis study provides the first evidence that patients' willingness to self-monitor might be associated with disease controllability. Further research should investigate this association more deeply and should focus on how disease controllability influences willingness to self-monitor. In addition, since willingness to self-monitor differed greatly among patient groups, it should be taken into account that not all patient groups are willing to self-monitor.
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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.