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Record W6958437599 · doi:10.6084/m9.figshare.c.6143100

Implementing a new physiotherapist-led primary care model for low back pain: a qualitative study of patient and primary care team perspectives

2022· other· en· W6958437599 on OpenAlexaffabout

Bibliographic record

VenueFigshare · 2022
Typeother
Languageen
FieldMathematics
TopicAlgebraic and Geometric Analysis
Canadian institutionsQueen's University
Fundersnot available
KeywordsPrimary careThematic analysisFocus groupQualitative researchHealth carePrimary health careLow back painQualitative property

Abstract

fetched live from OpenAlex

Abstract Background Low back pain (LBP) is one of the most common reasons for primary care visits and is the leading contributor to years lived with disability worldwide. The purpose of this study was to understand the perspectives of patients and primary care team members related to their experiences with a new physiotherapist-led primary care model for LBP. Methods We conducted an interpretive description qualitative study. Data were collected using a combination of semi-structured interviews and focus group discussions and analyzed using thematic analysis. Participants included adults (> 18 years of age) with LBP and primary care team members who participated in a physiotherapist-led primary care model for LBP in Kingston, Ontario, Canada. Results We conducted 18 semi-structured interviews with patients with LBP (10 women; median age of 52) as well as three focus group discussions with a total of 20 primary care team members representing three teams. Four themes (each with sub-themes) were constructed: 1) enhanced primary care delivery for LBP (improved access and engagement in physiotherapy care, improved communication and care integration between the physiotherapist and primary care team, less inappropriate use of healthcare resources); 2) positive patient experiences and perceived outcomes with the new model of care (physiotherapist built therapeutic alliance, physiotherapist provided comprehensive care, improved confidence in managing LBP, decreased impact of pain on daily life); 3) positive primary care team experiences with the new model of care (physiotherapist fit well within the primary care team, physiotherapist provided expertise on LBP for the primary care team, satisfaction in being able to offer a needed service for patients); and 4) challenges implementing the new model of care (challenges with prompt access to physiotherapy care, challenges making the physiotherapist the first contact for LBP, and opportunities to optimize communication between the physiotherapist and primary care team). Conclusions A new physiotherapist-led primary care model for LBP was described by patients and primary care team members as contributing to positive experiences and perceived outcomes for patients, primary care team members, and potentially the health system more broadly. Results suggest that this model of care may be a viable approach to support integrated and guideline adherent management of LBP in primary 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 categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Dataset · Consensus signal: Dataset
Teacher disagreement score0.531
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0920.000

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 head0.040
GPT teacher head0.331
Teacher spread0.291 · 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 designQualitative
Domainnot available
GenreDataset

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

Citations0
Published2022
Admission routes2
Has abstractyes

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