Evidence map›Paper›PMID 39093104›Full record

ArticleWork (Reading, Mass.)2024

Leveraging and learning from the long COVID experience: Translating telerehabilitation into practice.

Allison M Gustavson, Michelle R Rauzi, Alana Rasmussen, Bhavana Raja, June Kim, Todd E Davenport

Abstract read
In one paragraph

Article in Work (Reading, Mass.), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

6 authors.

Allison M GustavsonVeterans Affairs Health Services Research and Development Center for Care Delivery and Outcomes Research (CCDOR), Minneapolis Veterans Affairs Healthcare System, Minneapolis, MN, USA.
Michelle R RauziDepartment of Physical Medicine and Rehabilitation, Physical Therapy Program, University of Colorado Anschutz Medical Campus, Aurora, CO, USA.
Alana RasmussenRehabilitation and Extended Care, Physical Medicine and Rehabilitation, Minneapolis Veterans Affairs Healthcare System, Minneapolis, MN, USA.
Bhavana RajaDepartment of Physical Therapy, School of Health Sciences, University of the Pacific, Stockton, CA, USA.
June KimKaiser Permanente Medical Center, Stockton, CA, USA.
Todd E DavenportDepartment of Physical Therapy, School of Health Sciences, University of the Pacific, Stockton, CA, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTelerehabilitation, or the delivery of rehabilitation services through telehealth platforms, has existed since the late 1990 s. Telerehabilitation was characterized by unprecedented, exponential growth at the beginning of the novel coronavirus-2019 (COVID-19) pandemic. Medical systems sought to reduce the likelihood of disease transmission by using telerehabilitation to limit physical proximity during routine care. This dramatic change in how medical care was delivered forced many professions to adapt processes and practices. Following the change, debates sparked regarding the best path to move forward for the betterment of patients, clinicians, systems, and society. Long COVID has emerged as a complex chronic health condition arising from COVID-19. The unique needs and dynamic disease process of Long COVID has incentivized medical systems to create equitable ways for patients to safely access interdisciplinary care.

objectivesThe purpose of this commentary is to describe what medical systems must consider when deploying high-quality telerehabilitation to deliver rehabilitation through asynchronous (e.g., text, portal) and synchronous modalities (e.g., phone or video). We highlight lessons learned to help guide decision-makers on key actions to support their patients and clinicians.

methodsNot applicable.

resultsNot applicable.

conclusionsKey action steps from our lessons learned may be used to address complex chronic health conditions such as Long COVID and prepare for future challenges that may disrupt medical systems.

Indexed as

COVID-19TelerehabilitationHumansPandemicsSARS-CoV-2Telemedicinecare deliverychronic diseasepost-COVID conditionsrehabilitationTelehealthvirtual care

Identifiers

PMID39093104
PMCPMC11613110

What OpenQuestion holds

Textmetadata
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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.