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Record W4389989156 · doi:10.3138/ptc-2023-0021

“I Had to Know About It, I Had to Find It, I Had to Know How to Access it”: Experiences of Access to Rehabilitation Services Among People Living with Long COVID

2023· article· en· W4389989156 on OpenAlexafffundvenueabout
Pam Hung, Katelyn Brehon, Maxi Miciak, Darren A. Brown, Geoffrey Bostick, Cary A. Brown, Katie Churchill, Mark Hall, Lance Hoddinott, Anne Hudon, Simone Hunter, Kadija Perreault, Marguerite Wieler, Kate Skolnik, Grace Y. Lam, Jason Weatherald, Douglas P. Gross

Bibliographic record

VenuePhysiotherapy Canada · 2023
Typearticle
Languageen
FieldMedicine
TopicLong-Term Effects of COVID-19
Canadian institutionsUniversity of CalgaryAlberta Health ServicesUniversity Health NetworkCentre Intégré Universitaire de Santé et de Services Sociaux du Centre-Sud-de-l'Île-de-MontréalCentre for Interdisciplinary Research in RehabilitationUniversité LavalUniversité de MontréalUniversity of Alberta
FundersCanadian Institutes of Health ResearchAlberta InnovatesWorkSafeBCPhysiotherapy Foundation of CanadaHeart and Stroke Foundation of Canada
KeywordsRehabilitationThematic analysisPsychological interventionQualitative researchMedicineTelerehabilitationNursingPsychologyMedical educationTelemedicineHealth carePhysical therapySociologyPolitical science

Abstract

fetched live from OpenAlex

Purpose: The aim of this qualitative study is to understand the need for, access to, and quality of rehabilitation services for people living with Long COVID. Little is known about the experiences of people living with Long COVID accessing rehabilitation services. Therefore, we explored health concerns leading people living with Long COVID to seek help to address functional concerns and their experiences with accessing and participating in rehabilitation. Method: Interpretive description guided exploration of participants' experiences with Long COVID rehabilitation in Alberta, Canada. Semi-structured interviews were completed with 56 participants recruited from: three publicly funded Long COVID clinics, a specialized private physiotherapy clinic, a telephone-based rehabilitation advice line, and a Workers' Compensation Board-funded Long COVID rehabilitation program. Recruitment through mass media coverage allowed us to include people who did not access rehabilitation services. Data analysis was informed by Braun and Clarke's reflexive thematic analysis. Results: Four themes were identified: (1) the burden of searching for guidance to address challenges with functioning and disability; (2) supportive relationships promote engagement in rehabilitation; (3) conditions for participation in safe rehabilitation; and (4) looking forward - provision of appropriate interventions at the right time. Conclusions: Our findings highlight the experiences of accessing rehabilitation services for people living with Long COVID. Results suggest approaches to Long COVID rehabilitation should be accessible, multi-disciplinary, flexible, and person-centred.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.537
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.004
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0020.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.010
GPT teacher head0.326
Teacher spread0.316 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations14
Published2023
Admission routes4
Has abstractyes

Explore more

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