MétaCan
Menu
Back to cohort
Record W2788332499 · doi:10.1186/s40560-018-0273-0

Barriers and facilitators to early rehabilitation in mechanically ventilated patients—a theory-driven interview study

2018· article· en· W2788332499 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueJournal of Intensive Care · 2018
Typearticle
Languageen
FieldMedicine
TopicIntensive Care Unit Cognitive Disorders
Canadian institutionsToronto East General HospitalHealth Sciences CentreMcMaster UniversityUniversity of TorontoSunnybrook Health Science Centre
FundersCanadian Institutes of Health Research
KeywordsRehabilitationPsychological interventionContext (archaeology)PsychologyOptimismKnowledge translationQualitative researchFocus groupMedicineApplied psychologyNursingMedical educationClinical psychologySocial psychologyPhysical therapyKnowledge management

Abstract

fetched live from OpenAlex

BACKGROUND: Despite a supportive evidence base and a push to implement, the uptake of early rehabilitation in critical care has been inconsistent. The objective of this study was to explore barriers and facilitators to early rehabilitation for critically ill patients receiving invasive mechanical ventilation. METHODS: Using the Theoretical Domains Framework (TDF) of behavior change, we conducted semi-structured interviews exploring barriers and facilitators to early rehabilitation among four purposively sampled ICU clinician groups (nurses, rehabilitation professionals, respiratory therapists, and physicians). The TDF is a comprehensive framework of 14 "construct domains," synthesized from 33 theories of behavior that was developed to study determinants of behavior and to design interventions to improve evidence-based healthcare practice. A topic guide was developed and piloted based on the TDF and expert knowledge. Interviews were audio-recorded and transcribed verbatim. Transcripts were content analyzed by coding items into domains and then synthesized into more specific, over-arching themes or "beliefs." An expert consensus group used structured decision rules to classify beliefs as high, moderate, or low in importance. RESULTS: We interviewed 40 stakeholders from the four clinician groups and identified 135 separate beliefs. Of these, 19 were classified as high, 40 as moderate, and 76 of low importance as barriers or facilitators. All beliefs classified as highly important fell within one of seven TDF domains: skills, social/professional role and identity, beliefs about capabilities, beliefs about consequences, environmental context/resources, social influences, and behavioral regulation. Beliefs of lower importance fell under the following seven domains: knowledge; optimism; reinforcement; intention; goals; memory, attention, and decision processes; and emotion. Quantitative differences in stated beliefs about early rehabilitation between professional groups were not common. CONCLUSIONS: This study identified important barriers and facilitators to early rehabilitation in critical care patients. Domains identified as important should be considered when designing interventions to increase uptake of early rehabilitation.

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.

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)0.084
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.438
Threshold uncertainty score0.924

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.084
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.288
Teacher spread0.278 · 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