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Record W1972934069 · doi:10.3138/ptc.2012-19

Hip-Fracture Care in Rural Southwestern Ontario: An Ethnographic Study of Patient Transitions and Physiotherapy Handoffs

2013· article· en· W1972934069 on OpenAlexafffundvenueabout
Helen Johnson, Dorothy Forbes, Mary Egan, Jacobi Elliott, Paul Stolee, Bert M. Chesworth

Bibliographic record

VenuePhysiotherapy Canada · 2013
Typearticle
Languageen
FieldMedicine
TopicHospital Admissions and Outcomes
Canadian institutionsWestern UniversityUniversity of WaterlooUniversity of OttawaUniversity of Alberta
FundersCanadian Institutes of Health ResearchMcGill University
KeywordsMedicineRehabilitationHip fractureHealth careNursingAcute careInformation exchangeQualitative researchAccountabilityPhysical therapyMedical emergency

Abstract

fetched live from OpenAlex

PURPOSE: To examine information exchange by physiotherapists during care handoffs of patients with hip fracture in a rural health care setting. METHODS: This qualitative ethnographic study used observation and interviews of 11 networks of patients with hip fracture (n=11), family caregivers (n=8), and health care providers (n=24). Patients were followed from acute care through each subsequent care setting. Data were supplemented by health care records and policy documents. RESULTS: Findings revealed that handoffs were less successful when information transfer was untimely or incomplete. Family caregivers experienced challenges in obtaining information required to facilitate the handoff, especially when direct contact with physiotherapists was not possible as a result of distance or other factors. Physiotherapists had to navigate multiple data sources to retrieve important information, and managed information gaps in various ways. Information flow was often unidirectional and suggested no further clinical accountability for the discharging physiotherapist. CONCLUSIONS: Providing information in a structured and timely fashion facilitated physiotherapy handoffs. Inadequate handoffs compromised continuity of care, delayed progress in rehabilitation, and resulted in families' missing information of vital importance to their caregiving role. A multi-directional exchange of information is needed between patients, families, and health care providers across care settings.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.163
Threshold uncertainty score0.646

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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)0.0000.000

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 head0.005
GPT teacher head0.255
Teacher spread0.250 · 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.

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

Citations12
Published2013
Admission routes4
Has abstractyes

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