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Record W4404704298 · doi:10.1016/j.rmed.2024.107885

Characteristics of rehabilitation programs for chronic respiratory diseases in Asia: A scoping review

2024· review· en· W4404704298 on OpenAlexaff
Navneet Chadha, Felicity Blackstock, Sheree Smith, Pat G. Camp, Clarice Tang

Bibliographic record

VenueRespiratory Medicine · 2024
Typereview
Languageen
FieldMedicine
TopicChronic Obstructive Pulmonary Disease (COPD) Research
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsMedicineRehabilitationRespiratory systemIntensive care medicinePulmonary rehabilitationPhysical therapyPhysical medicine and rehabilitationInternal medicine

Abstract

fetched live from OpenAlex

The rates of chronic respiratory disease (CRD) is rising in Asia. Pulmonary rehabilitation (PR) has been shown to be a highly efficacious intervention for people with CRD. While PR models are well established in Western countries, environmental, cultural and societal factors may influence how rehabilitation programs for people with CRD are conducted in Asia. This review aims to identify the characteristics of rehabilitation programs for people with CRD within Asia and identify differences between these rehabilitation programs to the recently updated American Thoracic Society (ATS) PR guidelines. Utilising the PRISMA scoping review guidelines, five databases- CINAHL, Medline, Embase, Web of Science and Health and Medical Collection were searched from inception until 13th December 2023. A total of 137 studies (n = 19,128) were included in the review. As many as 113 studies (83 %) included aerobic exercises as part of rehabilitation, only 90 studies (66 %) included resistance training. Thirty-nine studies included interventions such as Tai Chi, Qigong and Yoga. Comparing to the 2023 ATS PR guidelines, only 22 % of the included studies evaluated a rehabilitation program that was consistent with the guidelines. Improvement in exercise capacity (76 %) and quality of life (QOL) (73 %) were the most frequent outcomes used to evaluate program efficacy. The results suggest that models of rehabilitation varied greatly within the Asia region, with some more heavily adapted to suit the local context as compared to others. Further consideration on how to balance adaptation of PR with fidelity of the intervention needs to be taken.

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)0.002
metaresearch head score (Gemma)0.005
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.483
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.005
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0060.001
Bibliometrics0.0010.002
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.086
GPT teacher head0.432
Teacher spread0.347 · 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 designSystematic review
Domainnot available
GenreReview

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

Citations4
Published2024
Admission routes1
Has abstractyes

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