ArticleJournal of medical Internet research2017
Telemedicine in Primary Care for Patients With Chronic Conditions: The ValCrònic Quasi-Experimental Study.
Article in Journal of medical Internet research, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05893199 (Telemedicine in Atrial Fibrillation), which is not on this map. Cited by 38 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.
Telemedicine in Atrial Fibrillation: Randomized Clinical Trial in Primary Care
Who cites it
38 citing papers in PubMed, 3 syntheses or guidelines pooled it, 77 citations in OpenAlex.
- Interactive Remote Patient Monitoring Devices for Managing Chronic Health Conditions: Systematic Review and Meta-analysis.Journal of medical Internet research · 2022Pooled it
- Factors influencing the effectiveness of remote patient monitoring interventions: a realist review.BMJ open · 2021Pooled it
- [Effectiveness of interventions based on telemedicine on health outcomes in patients with multimorbidity in Primary Care: A systematic review].Atencion primaria · 2020Pooled it
- Patient Engagement Using Telemedicine in Primary Care during COVID-19 Pandemic: A Trial Study.International journal of environmental research and public health · 2022Trial
- Challenges of Telemonitoring Programs for Complex Chronic Conditions: Randomized Controlled Trial With an Embedded Qualitative Study.Journal of medical Internet research · 2022Trial
- The organization of virtual care centers: A qualitative study in Dutch hospitals.PLOS digital health · 2026Article
- EPOCA Tele-Monitoring System for Older Adults at High Risk of Hospitalization: Budget Impact and Cost-Effectiveness Analysis.Journal of medical Internet research · 2026Article
- Association Between Telemedicine Adoption and Physician Job Satisfaction: Cross-Sectional Study.Journal of medical Internet research · 2026Article
- Remote monitoring system for older adults at risk for complications: a scoping review.BMC geriatrics · 2025Article
- Remote Patient Monitoring System for Polypathological Older Adults at High Risk for Hospitalization: Retrospective Cohort Study.Journal of medical Internet research · 2025Article
- Trends and Shifts in Swedish Telemedicine Consultations During the Pre-COVID-19, COVID-19, and Post-COVID-19 Periods: Retrospective Observational Study.JMIR formative research · 2025Observational
- Hypermobile type Ehlers-Danlos syndrome and generalized hypermobile spectrum disorder treatment preferences - a cross-sectional survey of patients.Rheumatology international · 2025Article
- Observational
- Digital Transformation Led by Nurses and Nursing Managers' Priorities: A Qualitative Study.Journal of nursing management · 2024Article
- Clinical characteristics of patients with hypermobile type Ehlers-Danlos syndrome (hEDS) and generalized hypermobility spectrum disorders (G-HSD): an online survey.Rheumatology international · 2023Article
- Review
- What do patients on methotrexate need and expect at the clinic? An online patient survey.Rheumatology international · 2023Article
- Telemedicine and health disparities: Association between the area deprivation index and primary care telemedicine utilization during the COVID-19 pandemic.Journal of clinical and translational science · 2023Article
- Effects of a Digital Patient Empowerment and Communication Tool on Metabolic Control in People With Type 2 Diabetes: The DeMpower Multicenter Ambispective Study.JMIR diabetes · 2022Article
- Advancing multimorbidity management in primary care: a narrative review.Primary health care research & development · 2022Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe increase of chronic diseases prevalence has created the need to adapt care models and to provide greater home supervision.
objectiveThe objective of our study was to evaluate the impact of telemonitoring on patients with long-term conditions at high risk for rehospitalization or an emergency department visit, in terms of target disease control (diabetes, hypertension, heart failure, and chronic obstructive pulmonary disease).
methodsWe conducted a quasi-experimental study with a before-and-after analysis to assess the effectiveness of the ValCrònic program after 1 year of primary care monitoring. The study included high-risk patients with 1 or more of the following conditions: diabetes, high blood pressure, heart failure, and chronic obstructive pulmonary disease. We assessed risk according to the Community Assessment Risk Screen. Participants used an electronic device (tablet) to self-report relevant health information, which was then automatically entered into their eHealth record for consultation.
resultsThe total sample size was 521 patients. Compared with the preintervention year, there were significant reductions in weight (82.3 kg before vs 80.1 kg after; P=.001) and in the proportion of people with high systolic (≥140 mmHg; 190, 36.5% vs 170, 32.6%; P=.001) and diastolic (≥90 mmHg; 72, 13.8% vs 40, 7.7%; P=.01) blood pressures, and hemoglobin A
conclusionsThe ValCrònic telemonitoring program in patients at high risk for rehospitalization or an emergency department visit appears to be useful to improve target disease control and to reduce the use of resources.
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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.