Evidence map›Paper›PMID 36943909›Full record

ArticleJournal of medical Internet research2023

Digital Interventions for Treating Post-COVID or Long-COVID Symptoms: Scoping Review.

Robin Rinn, Lingling Gao, Sarah Schoeneich, Alina Dahmen, Vinayak Anand Kumar, Petra Becker, Sonia Lippke

Open access · goldAbstract readScoping Review
In one paragraph

Article in Journal of medical Internet research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
9.7field-weighted citation impact, top 1% of its field
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

24 citing papers in PubMed, 47 citations in OpenAlex.

  1. A digital intervention for cognitive deficits following COVID-19: a randomized clinical trial.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2024
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  19. Health care for patients with long COVID: a scoping review.Revista da Escola de Enfermagem da U S P · 2024
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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

7 authors at 2 institutions in 1 country.

Robin RinnConstructor University, Bremen, Germany.ORCID 0000-0002-2640-8325
Lingling GaoConstructor University, Bremen, Germany.ORCID 0000-0002-5760-1662
Sarah SchoeneichConstructor University, Bremen, Germany.ORCID 0009-0001-0413-8440
Alina DahmenConstructor University, Bremen, Germany.ORCID 0000-0001-8591-874X
Vinayak Anand KumarConstructor University, Bremen, Germany.ORCID 0000-0002-2972-5887
Petra BeckerDr Becker Klinikgruppe, Cologne, Germany.ORCID 0000-0002-9964-3465
Sonia LippkeConstructor University, Bremen, Germany.ORCID 0000-0002-8272-0399
Constructor University · DEBecker Technologies (Germany) · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPatients with post-COVID/long-COVID symptoms need support, and health care professionals need to be able to provide evidence-based patient care. Digital interventions can meet these requirements, especially if personal contact is limited.

objectiveWe reviewed evidence-based digital interventions that are currently available to help manage physical and mental health in patients with post-COVID/long-COVID symptoms.

methodsA scoping review was carried out summarizing novel digital health interventions for treating post-COVID/long-COVID patients. Using the PICO (population, intervention, comparison, outcome) scheme, original studies were summarized, in which patients with post-COVID/long-COVID symptoms used digital interventions to help aid recovery.

resultsFrom all scanned articles, 8 original studies matched the inclusion criteria. Of the 8 studies, 3 were "pretest" studies, 3 described the implementation of a telerehabilitation program, 1 was a post-COVID/long-COVID program, and 1 described the results of qualitative interviews with patients who used an online peer-support group. Following the PICO scheme, we summarized previous studies. Studies varied in terms of participants (P), ranging from adults in different countries, such as former hospitalized patients with COVID-19, to individuals in disadvantaged communities in the United Kingdom, as well as health care workers. In addition, the studies included patients who had previously been infected with COVID-19 and who had ongoing symptoms. Some studies focused on individuals with specific symptoms, including those with either post-COVID-19 or long-term symptoms, while other studies included patients based on participation in online peer-support groups. The interventions (I) also varied. Most interventions used a combination of psychological and physical exercises, but they varied in duration, frequency, and social dimensions. The reviewed studies investigated the physical and mental health conditions of patients with post-COVID/long-COVID symptoms. Most studies had no control (C) group, and most studies reported outcomes (O) or improvements in physiological health perception, some physical conditions, fatigue, and some psychological aspects such as depression. However, some studies found no improvements in bowel or bladder problems, concentration, short-term memory, unpleasant dreams, physical ailments, perceived bodily pain, emotional ailments, and perceived mental health.

conclusionsMore systematic research with larger sample sizes is required to overcome sampling bias and include health care professionals' perspectives, as well as help patients mobilize support from health care professionals and social network partners. The evidence so far suggests that patients should be provided with digital interventions to manage symptoms and reintegrate into everyday life, including work.

Indexed as

COVID-19Post-Acute COVID-19 SyndromeTelerehabilitationAdultHealth PersonnelHumansMental HealthCOVID-19mHealthmobile healthpostacute COVID-19 symptomspost-COVID/long-COVID symptom recoveryrehabilitationtherapytreatment

Identifiers

PMID36943909
PMCPMC10131666
OpenAlexW4323900682

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.