ArticleBMJ open2022
Development, deployment and evaluation of digitally enabled, remote, supported rehabilitation for people with long COVID-19 (Living With COVID-19 Recovery): protocol for a mixed-methods study.
Article in BMJ open, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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
16 citing papers in PubMed, 28 citations in OpenAlex.
- Integrated care pathway in individuals with Long COVID: STIMULATE-ICP, a cluster-randomized, phase 3 trial.Nature medicine · 2026Trial
- Digital Interventions Addressing Cognitive and Psychological Symptoms in Long COVID: Scoping Review of Multicomponent Approaches.Interactive journal of medical research · 2026Review
- App-based self-management program for people dealing with fatigue and trouble concentrating (DiEgO): protocol for participatory development, pilot testing, and qualitative process evaluation.Pilot and feasibility studies · 2026Article
- Considerations of race and ethnicity within rehabilitation studies for post COVID-19 condition: A scoping review.PM & R : the journal of injury, function, and rehabilitation · 2026Article
- Article
- Article
- Long COVID symptoms and demographic associations: A retrospective case series study using healthcare application data.JRSM open · 2024Article
- Observational
- A Multiaxial Rehabilitation Programme for Workers with COVID-19 Sequelae Using a Conventional and Technological-Robotic Approach: The Proposal of INAIL and Fondazione Don Carlo Gnocchi.Healthcare (Basel, Switzerland) · 2023Article
- Multi-organ impairment and long COVID: a 1-year prospective, longitudinal cohort study.Journal of the Royal Society of Medicine · 2023Article
- Review
- Article
- Exosomal miR-145 and miR-885 Regulate Thrombosis in COVID-19.The Journal of pharmacology and experimental therapeutics · 2023Article
- Development and Validation of a Mobile Application as an Adjuvant Treatment for People Diagnosed with Long COVID-19: Protocol for a Co-Creation Study of a Health Asset and an Analysis of Its Effectiveness and Cost-Effectiveness.International journal of environmental research and public health · 2022Article
- Prevalence of depression and its associated factors among patients with confirmed COVID-19 in Makkah, Saudi Arabia.Frontiers in psychiatry · 2022Article
- Digital exclusion faced by people living with chronic respiratory disease: Challenges, implications and solutions.Chronic respiratory diseaseReview
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
21 authors at 8 institutions in 1 country.
Funding
Abstract
introductionLong COVID-19 is a distressing, disabling and heterogeneous syndrome often causing severe functional impairment. Predominant symptoms include fatigue, cognitive impairment ('brain fog'), breathlessness and anxiety or depression. These symptoms are amenable to rehabilitation delivered by skilled healthcare professionals, but COVID-19 has put severe strain on healthcare systems. This study aims to explore whether digitally enabled, remotely supported rehabilitation for people with long COVID-19 can enable healthcare systems to provide high quality care to large numbers of patients within the available resources. Specific objectives are to (1) develop and refine a digital health intervention (DHI) that supports patient assessment, monitoring and remote rehabilitation; (2) develop implementation models that support sustainable deployment at scale; (3) evaluate the impact of the DHI on recovery trajectories and (4) identify and mitigate health inequalities due to the digital divide. METHODS AND ANALYSIS: Mixed-methods, theoretically informed, single-arm prospective study, combining methods drawn from engineering/computer science with those from biomedicine. There are four work packages (WP), one for each objective. WP1 focuses on identifying user requirements and iteratively developing the intervention to meet them; WP2 combines qualitative data from users with learning from implementation science and normalisation process theory, to promote adoption, scale-up, spread and sustainability of the intervention; WP3 uses quantitative demographic, clinical and resource use data collected by the DHI to determine illness trajectories and how these are affected by use of the DHI; while WP4 focuses on identifying and mitigating health inequalities and overarches the other three WPs. ETHICS AND DISSEMINATION: Ethical approval obtained from East Midlands - Derby Research Ethics Committee (reference 288199). Our dissemination strategy targets three audiences: (1) Policy makers, Health service managers and clinicians responsible for delivering long COVID-19 services; (2) patients and the public; (3) academics. TRIAL REGISTRATION NUMBER: Research Registry number: researchregistry6173.
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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.