ArticleInternational journal of environmental research and public health2013
How technology in care at home affects patient self-care and self-management: a scoping review.
Article in International journal of environmental research and public health, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 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
25 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- Commercial exergames for rehabilitation of physical health and quality of life: a systematic review of randomized controlled trials with adults in unsupervised home environments.Frontiers in psychology · 2023Pooled it
- Pooled it
- Use of Social Robots in Mental Health and Well-Being Research: Systematic Review.Journal of medical Internet research · 2019Pooled it
- A randomized trial of comparing video telecare education vs. in-person education on dietary regimen compliance in patients with type 2 diabetes mellitus: a support for clinical telehealth Providers.BMC endocrine disorders · 2022Trial
- Evaluating the Use of Generative AI Videos for Health Self-Management of Older Adults: Mixed Methods Study.JMIR aging · 2026Article
- Usability and User Experience of a Digital Platform Prototype (Healthy Bone) to Promote Pharmacological and Nonpharmacological Treatment in Patients With Osteoporosis: Mixed Methods Study.JMIR formative research · 2025Article
- Anticipations and Requirements of Individuals with Long-Term Health Conditions Regarding Self-Management and Digital Health Support Tools.Patient preference and adherence · 2025Article
- A Review and Tutorial on Machine Learning-Enabled Radar-Based Biomedical Monitoring.IEEE open journal of engineering in medicine and biology · 2024Article
- Evolution of public health policy on healthcare self-management: the case of Ontario, Canada.BMC health services research · 2023Article
- Stability monitoring of patients with myasthenia gravis using a mobile-based application.Current journal of neurology · 2023Article
- Optimizing Healthcare Through Digital Health and Wellness Solutions to Meet the Needs of Patients With Chronic Disease During the COVID-19 Era.Frontiers in public health · 2021Article
- Attitudes and Expectations of Health Care Professionals Toward App-Based Therapy in Patients with Osteoarthritis of the Hip or Knee: Questionnaire Study.JMIR mHealth and uHealth · 2020Article
- A Scalable System for Passively Monitoring Oral Health Behaviors Using Electronic Toothbrushes in the Home Setting: Development and Feasibility Study.JMIR mHealth and uHealth · 2020Article
- Effect of mobile learning (application) on self-care behaviors and blood glucose of type 2 diabetic patients.Journal of diabetes and metabolic disorders · 2019Article
- Toward Comprehensive Patient-Centric Care by Integrating Digital Health Technology With Direct Clinical Contact in Australia.Journal of medical Internet research · 2019Article
- An Empirical Study of a Pedagogical Agent as an Adjunct to an eHealth Self-Management Intervention: What Modalities Does It Need to Successfully Support and Motivate Users?Frontiers in psychology · 2019Article
- Lessons Learned From a Living Lab on the Broad Adoption of eHealth in Primary Health Care.Journal of medical Internet research · 2018Article
- Development of an mHealth Application for Women Newly Diagnosed with Osteoporosis without Preceding Fractures: A Participatory Design Approach.International journal of environmental research and public health · 2018Article
- Expectations and needs of patients with a chronic disease toward self-management and eHealth for self-management purposes.BMC health services research · 2016Article
- Use and Uptake of eHealth in General Practice: A Cross-Sectional Survey and Focus Group Study Among Health Care Users and General Practitioners.JMIR medical informatics · 2016Article
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
The use of technology in care at home has potential benefits such as improved quality of care. This includes greater focus on the patients' role in managing their health and increased patient involvement in the care process. The objective of this scoping review is to analyse the existing evidence for effects of technology in home-based care on patients' self-care and self-management. Using suitable search terms we searched the databases of Pubmed, Embase, Cochrane Library, Cinahl, Picarta and NIVEL dating from 2002 to 2012. Thirty-three studies (six review studies and twenty-seven individual studies) were selected. Effects were extracted from each study and were classified. In almost all the studies, the concepts self-care and self-management are not clearly defined or operationalized. Therefore, based on a meta-analysis, we made a new classification of outcome measures, with hierarchical levels: (1) competence (2) illness-management (3) independence (social participation, autonomy). In general, patient outcomes appear to be positive or promising, but most studies were pilot studies. We did not find strong evidence that technology in care at home has (a positive) effect on patient self-care and self-management according to the above classification. Future research is needed to clarify how technology can be used to maximize its benefits.
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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.