Evidence map›Paper›PMID 36324552›Full record

ArticleBulletin of the World Health Organization2022

Scoping review of rehabilitation care models for post COVID-19 condition.

Simon Décary, Wouter De Groote, Chiara Arienti, Carlotte Kiekens, Paolo Boldrini, Stefano Giuseppe Lazzarini, Michèle Dugas, Théo Stefan, Léa Langlois, Frédérique Daigle and 3 more

Abstract readScoping Review
In one paragraph

Article in Bulletin of the World Health Organization, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
39citing papers in PubMed, 3 pooled it
–field-weighted citation impact
1 · What the graph read from 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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

39 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
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  6. Barriers to Long COVID Care in the U.S.: An Application of Levesque et al.'s Access Framework.Health care analysis : HCA : journal of health philosophy and policy · 2026
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

13 authors.

Simon DécaryFaculty of Medicine and Health Sciences, Research Centre of the CHUS, University of Sherbrooke, 3001, 12e Avenue Nord, Sherbrooke, Quebec, J1H 5N4, Canada.
Wouter De GrooteDepartment for Noncommunicable Diseases, World Health Organization, Geneva, Switzerland.
Chiara ArientiIRCCS Fondazione Don Gnocchi, Milan, Italy.
Carlotte KiekensIRCCS MultiMedica, Milan, Italy.
Paolo BoldriniItalian Society of Physical and Rehabilitation Medicine, Roma, Italy.
Stefano Giuseppe LazzariniIRCCS Fondazione Don Gnocchi, Milan, Italy.
Michèle DugasVITAM Research Center on Sustainable Health, Quebec Integrated University Health and Social Services Center, Québec, Canada.
Théo StefanVITAM Research Center on Sustainable Health, Quebec Integrated University Health and Social Services Center, Québec, Canada.
Léa LangloisVITAM Research Center on Sustainable Health, Quebec Integrated University Health and Social Services Center, Québec, Canada.
Frédérique DaigleFaculty of Medicine and Health Sciences, Research Centre of the CHUS, University of Sherbrooke, 3001, 12e Avenue Nord, Sherbrooke, Quebec, J1H 5N4, Canada.
Florian NayeFaculty of Medicine and Health Sciences, Research Centre of the CHUS, University of Sherbrooke, 3001, 12e Avenue Nord, Sherbrooke, Quebec, J1H 5N4, Canada.
Annie LeBlancVITAM Research Center on Sustainable Health, Quebec Integrated University Health and Social Services Center, Québec, Canada.
Stefano NegriniDepartment of Biomedical, Surgical and Dental Sciences, University "La Statale", Milan, Italy.

Funding

World Health Organization 001
6 · The paper itself

Abstract

Objective: To systematically map the current evidence about the characteristics of health systems, providers and patients to design rehabilitation care for post coronavirus disease 2019 (COVID-19) condition. Methods: We conducted a scoping review by searching the databases: MEDLINE®, Embase®, Web of Science, Cochrane COVID-19 Registry and Cochrane Central Register of Controlled Trials, from inception to 22 April 2022. The search strategy included terms related to (i) post COVID-19 condition and other currently known terminologies; (ii) care models and pathways; and (iii) rehabilitation. We applied no language or study design restrictions. Two pairs of researchers independently screened title, abstracts and full-text articles and extracted data. We charted the evidence according to five topics: (i) care model components and functions; (ii) safe delivery of rehabilitation; (iii) referral principles; (iv) service delivery settings; and (v) health-care professionals. Findings: We screened 13 753 titles and abstracts, read 154 full-text articles, and included 37 articles. The current evidence is conceptual and expert based. Care model components included multidisciplinary teams, continuity or coordination of care, people-centred care and shared decision-making between clinicians and patients. Care model functions included standardized symptoms assessment, telehealth and virtual care and follow-up system. Rehabilitation services were integrated at all levels of a health system from primary care to tertiary hospital-based care. Health-care workers delivering services within a multidisciplinary team included mostly physiotherapists, occupational therapists and psychologists. Conclusion: Key policy messages include implementing a multilevel and multiprofessional model; leveraging country health systems' strengths and learning from other conditions; financing rehabilitation research providing standardized outcomes; and guidance to increase patient safety.

Indexed as

COVID-19Delivery of Health CareHealth PersonnelHumansTreatment Outcome

Identifiers

PMID36324552
PMCPMC9589389

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.