Trial reportScientific reports2023
Effectiveness of a telerehabilitation intervention using ReCOVery APP of long COVID patients: a randomized, 3-month follow-up clinical trial.
Trial report in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers, 9 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
34 citing papers in PubMed, 9 syntheses or guidelines pooled it.
- Effectiveness of telerehabilitation in patients with post-COVID-19: an updated systematic review and meta-analysis of randomized controlled trials.BMC pulmonary medicine · 2026Pooled it
- Interventions for the management of long covid (post-covid condition): living systematic review.BMJ (Clinical research ed.) · 2024Pooled it
- Systematic review of interventions for mental health, cognition and psychological well-being in long COVID.BMJ mental health · 2024Pooled it
- Effectiveness of telerehabilitation versus face-to-face pulmonary rehabilitation on physical function and quality of life in people with post COVID-19 condition: a systematic review and network meta-analysis.European journal of physical and rehabilitation medicine · 2024Pooled it
- Research evidence on the management of the cognitive impairment component of the post-COVID condition: a qualitative systematic review.European psychiatry : the journal of the Association of European Psychiatrists · 2024Pooled it
- Pooled it
- Intervention modalities for brain fog caused by long-COVID: systematic review of the literature.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2024Pooled it
- The use of acupuncture for addressing neurological and neuropsychiatric symptoms in patients with long COVID: a systematic review and meta-analysis.Frontiers in neurology · 2024Pooled it
- Effect of pulmonary rehabilitation for patients with long COVID-19: a systematic review and meta-analysis of randomized controlled trials.Therapeutic advances in respiratory diseasePooled it
- Cognitive behavioral therapy, exercise training, and cognitive remediation for patients with post-COVID-19 condition: protocol of an open-label randomized controlled trial.BMC psychology · 2025Trial
- Trial
- Corrigendum to 'Effects of therapeutic interventions on long COVID: a meta-analysis of randomized controlled trials'.EClinicalMedicine · 2026Article
- Post-COVID-19 Muscle Weakness and Recovery Patterns After Mild-to-Moderate Infection: A Retrospective Analysis of a Structured Rehabilitation Program Using the MRC Scale.Healthcare (Basel, Switzerland) · 2026Article
- Characterizing Neuro-PASC outcome with the mobile Neuro-COVID recovery care companion application.BMC neurology · 2026Article
- Tailored Individual Follow-Ups Versus a One-Day Group Course in Patients With Long COVID (Post- COVID-19 Condition): Protocol for a Randomized Controlled Trial.JMIR research protocols · 2026Article
- Candidate treatments for long COVID: a narrative review of expert and patient-driven priorities.Frontiers in medicine · 2026Review
- Article
- Effectiveness of tailored individual follow-up vs. standard one-day group course on health-related quality of life in patients with post COVID-19 condition: a randomized controlled trial.Frontiers in rehabilitation sciences · 2026Article
- Effects of therapeutic interventions on long COVID: a meta-analysis of randomized controlled trials.EClinicalMedicine · 2025Article
- Interventions for Long COVID: A Narrative Review.Journal of general internal medicine · 2025Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The main objective of this study is to analyze the clinical efficacy of telerehabilitation in the recovery of Long COVID patients through ReCOVery APP for 3 months, administered in the Primary Health Care context. The second objective is to identify significant models associated with an improvement in the study variables. An open-label randomized clinical trial was conducted using two parallel groups of a total of 100 Long COVID patients. The first group follows the treatment as usual methods established by their general practitioner (control group) and the second follows the same methods and also uses ReCOVery APP (intervention group). After the intervention, no significant differences were found in favour of the group intervention. Regarding adherence, 25% of the participants made significant use of the APP. Linear regression model establishes that the time of use of ReCOVery APP predicts an improvement in physical function (b = 0.001; p = 0.005) and community social support (b = 0.004; p = 0.021). In addition, an increase in self-efficacy and health literacy also contribute to improving cognitive function (b = 0.346; p = 0.001) and reducing the number of symptoms (b = 0.226; p = 0.002), respectively. In conclusion, the significant use of ReCOVery APP can contribute to the recovery of Long COVID patients. Trial Registration No.: ISRCTN91104012.
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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.