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Record W2170912065 · doi:10.3138/physio.61.4.252

“I Think It, but Don't Often Write It”: The Barriers to Charting in Private Practice

2009· article· en· W2170912065 on OpenAlexaffvenue
Katherine Harman, Raewyn Bassett, Anne Fenety, Alison M. Hoens

Bibliographic record

VenuePhysiotherapy Canada · 2009
Typearticle
Languageen
FieldHealth Professions
TopicBalance, Gait, and Falls Prevention
Canadian institutionsUniversity of British ColumbiaProvidence Health CareDalhousie University
Fundersnot available
KeywordsThematic analysisDocumentationAuditFocus groupChartQuality (philosophy)Process (computing)PsychologyMedical educationQualitative researchTask (project management)Applied psychologyMedicineComputer scienceSociologyManagement

Abstract

fetched live from OpenAlex

PURPOSE: To describe barriers to charting identified by physiotherapists working in private practice in New Brunswick. METHOD: Physiotherapists were invited to focus-group interviews to discuss the results of a comprehensive chart audit. Sixty-nine physiotherapists who responded were assigned to nine focus groups. Seven of nine audiotaped interviews (49 participants) were of sufficient quality to be transcribed and imported into qualitative data analysis software for thematic analysis. RESULTS: Participants described the challenges of including charting in their routine client care. Barriers included the disjuncture between charting and thinking, the translation of impairment goals to functional goals, the time it takes to chart, fear of failure, and the difficulty of predicting length of treatment. Strategies to facilitate charting were suggested by participants. CONCLUSION: Understanding barriers to charting in private practice is necessary to improve the quality of documentation. Barriers described are related to the fast-moving nonverbal, kinaesthetic, and cognitive process that is clinical reasoning in physiotherapy. This tacit, implicit process is mismatched with the charting task, which requires that the implicit become explicit in written form. Strategies to facilitate charting noted by participants address some of these issues; however, a broader, profession-wide discussion is necessary.

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)0.001
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: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.204
Threshold uncertainty score0.703

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
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 head0.015
GPT teacher head0.359
Teacher spread0.344 · 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 designNot applicable
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

Citations19
Published2009
Admission routes2
Has abstractyes

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