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Record W4387643380 · doi:10.1016/j.physio.2023.10.002

Video analysis of communication by physiotherapists and patients in video consultations: a qualitative study using conversation analysis

2023· article· en· W4387643380 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.

Bibliographic record

VenuePhysiotherapy · 2023
Typearticle
Languageen
FieldHealth Professions
TopicPatient-Provider Communication in Healthcare
Canadian institutionsTrillium Health Centre
FundersNational Institute for Health and Care Research
KeywordsConversationConversation analysisQualitative analysisQualitative researchMultimediaComputer scienceMedicinePsychologyCommunicationSociology

Abstract

fetched live from OpenAlex

OBJECTIVES: To investigate the challenges of doing physical examinations and exercises by video, and the communication strategies used by physiotherapists and patients to overcome them. DESIGN: A qualitative study of talk and social actions, examining the verbal and non-verbal communication practices used by patients and physiotherapists. Video consultations between physiotherapists and patients were video recorded using MS Teams, transcribed and analysed in detail using Conversation Analysis. SETTING: Video consultations were recorded in three specialist settings (long-term pain, orthopaedics, and neuromuscular rehabilitation) across two NHS hospitals. PARTICIPANTS: 15 adult patients (10 female, 5 male; aged 20-77) with a scheduled video consultation. RESULTS: Examinations and exercises retain-->were successfully accomplished in all 15 consultations. Two key challenges were identified for physiotherapists and patients when doing video assessments: (1) managing safety and clinical risk, and (2) making exercises and movements visible. Challenges were addressed by through communication practices that were patient-centred and tailored to the video context (e.g., explaining how to frame the body to the camera or adjust the camera to make the body visible). CONCLUSIONS: Video is being used by physiotherapists to consult with their patients. This can work well, but tailored communication strategies are critical to help participants overcome the challenges of remote physical examinations and exercises. CONTRIBUTION OF THE PAPER: This paper is a first to use video-based analysis to determine the challenges of video consulting for doing remote assessments and exercises in physiotherapy settings. It demonstrates how patients and physiotherapists use communication strategies to raise concerns around safety and visibility and how they overcome these concerns.

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)0.000
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 score0.201
Threshold uncertainty score0.986

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.009
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 head0.146
GPT teacher head0.509
Teacher spread0.363 · 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