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Evaluation of Program Adherence and Health Outcomes When Patients Self-Select to Either In-Person or Virtual Pulmonary Rehabilitation

2025· article· en· W4410268231 on OpenAlexaff
Desi P. Fuhr, James R. Vallerand, Virginia Huynh, E. Bok, Chik Loon Foo, Michael K. Stickland

Bibliographic record

VenueAmerican Journal of Respiratory and Critical Care Medicine · 2025
Typearticle
Languageen
FieldMedicine
TopicTelemedicine and Telehealth Implementation
Canadian institutionsUniversity of CalgaryUniversity of Alberta
Fundersnot available
KeywordsMedicinePulmonary rehabilitationRehabilitationPhysical therapyMedication adherenceIntensive care medicinePhysical medicine and rehabilitationInternal medicine

Abstract

fetched live from OpenAlex

Abstract Rationale: In-person pulmonary rehabilitation (PR) has long been the gold standard, fostering direct clinician-patient interactions and facilitating a supportive group environment. However, geographical limitations, mobility issues, and scheduling conflicts can hinder accessibility for some patients. Virtual PR delivered within patient's homes has emerged as a promising alternative, offering flexibility and convenience. Randomized-controlled trials as well as cohort studies conducted during the pandemic demonstrate similar outcomes derived from in-person vs. Virtual PR. A real-world limitation of this previous work is that patients were not given the choice of what type of program to attend. The purpose of this study was to compare adherence and health outcomes from virtual PR versus in-person PR when patients were able to self-select their preferred delivery modality of PR. Methods: Patients enrolled in the Breathe Easy PR Program (n=572) self-selected in-person (n=374) or virtual (n=198) PR. Both groups attended a standardized curriculum of 16 PR sessions consisting of group education and supervised exercise. Program adherence was determined via program completion and participant attendance. Health outcomes were assessed before and after PR and consisted of 6-minute walk distance (6MWD), 30-second sit-to-stand (30-sec STS), grip strength, COPD assessment test (CAT), and EQ5D health score. Results: More females self-selected virtual PR versus in-person PR (61% vs. 41%; p<0.001). At baseline, 6MWD (305±122m vs. 363±110m; p<0.001) and 30-sec STS (9.7±3.2 vs. 10.5±3.7; p=0.024) were significantly lower in virtual PR. Program completion rates were similar between virtual PR and in-person PR (79% vs. 72%; p=0.07). The primary reason for non-completion (health reasons, time or logistical constraints, or lack of interest), did not differ between groups (p=0.748). The virtual PR group attended more sessions compared to the in-person PR group (12/16 vs. 11/16; p=0.04). Both groups demonstrated similar statistically significant within-group improvements in 6MWD, 30-sec STS, CAT and EQ5D with PR, however, there were no time-by-program interactions. Conversely, a time-by-program interaction was observed for grip strength showing that in-person PR led to greater improvements in grip strength compared to virtual PR. Conclusions: More women self-select virtual PR vs. in-patient PR. Virtual PR facilitated greater program attendance, but completion rates were similar between the two programs. Self-selected virtual PR is an effective alternative to in-person PR, resulting in similar improvements in health outcomes and program adherence. Greater improvements in grip strength were observed during the in-person program, suggesting that in-person participation may facilitate greater strength benefits compared to virtual PR.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.012

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.059
GPT teacher head0.450
Teacher spread0.390 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations0
Published2025
Admission routes1
Has abstractyes

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