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Pandemic Transition of an Established Hospital-Based Pulmonary Rehabilitation Program

2021· article· en· W3158384189 on OpenAlexaffabout
Jan M. Nicholson, K. Unsworth, Laurie Loveland, P. Wilton, C. Geurtjens, M. Krulicki, L. Ratsep, A. Tilgner, M. Callihoo, Lauren C. Smith, Susan Hocking, Donald Farquhar

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldMedicine
TopicChronic Obstructive Pulmonary Disease (COPD) Research
Canadian institutionsSt Joseph's Health CareWestern University
Fundersnot available
KeywordsMedicineTelehealthRehabilitationVideoconferencingQuality of life (healthcare)Pulmonary rehabilitationTelemedicinePhysical therapyMedical emergencyHealth careNursingMultimedia

Abstract

fetched live from OpenAlex

Background: Pulmonary rehabilitation (PR) has demonstrated significant improvements in patients' exercise tolerance, quality of life, and mental health scores. These achievements have been obtained in traditional PR (t-PR) hospital-based, out-patient, in-person training programs. Recent evidence supports utilizing telehealth options to deliver standardized, rehabilitation programs to rural and remote communities without other access to PR. In March of 2020, an international pandemic was declared with regards to COVID-19. This forced t-PR programs to pause in-person patient contact, and consider dramatic changes to program delivery. Approach: We transformed our t-PR program into a completely full-fledged virtual PR (v-PR) programme that offered, via telephone and videoconferencing, education and exercise sessions. When it was deemed safe to resume inperson patient contact, specifically for PR exercise prescription determination, patients were brought in for exercise assessment only. This represented a complete transformation of our programme, and to our knowledge, was the first such offering in Ontario. Twice weekly regular video-based group exercise sessions, with a third being performed independently, was established while providing remote patients vital sign monitoring equipment throughout their enrollment to ensure safety. Education sessions were at first delivered by telephone, with the transitioning to video-lecturing by the end of 2020 occurring. Results: Enrollment data reveals the mean age for t-PR was 69.3 ± 9.2 years (n=164) compared to 69.9 ± 9.7 years for our v-PR (n=34). To date, completion data for six-minute walk distance (6MWD) improved in the t-PR (n=128) by 55.3 m (p < 0.001) and in the v-PR (n=8) 72.1 m (p < 0.001). General Anxiety Disorder-7 (GAD-7) questionnaire improved by 2 points in t-PR (n=129, p < 0.001) and by 3 points in the v-PR (n=8, p = 0.013). There was no change in the Patient Health Questionnaire (PHQ-9) score for the v-PR, whereas the t-PR had an improvement of 2 points (n=129, p < 0.001). COPD Assessment Test (CAT) scores in t-PR (n=130) improved by 4 points (p<0.001) and by 3 points (n=8, p= 0.013) in v-PR group. Discussion: Our current PR programme has demonstrated an important pivot during the current pandemic to provide a virtual curriculum. Preliminary data show that participants in v-PR improved significantly in their 6MWD, quality of life, and anxiety scores. This shift to the virtual option has allowed for continued care, despite the pandemic restrictions;and can be provided to other patients who otherwise would be unable to participate due to geographical restrictions.

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)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.039
Threshold uncertainty score0.077

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0010.002
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0080.001

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 head0.012
GPT teacher head0.304
Teacher spread0.292 · 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 designQualitative
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".

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Citations0
Published2021
Admission routes2
Has abstractyes

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