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Record W4404807307 · doi:10.1370/afm.22.s1.7095

Portrait of the reasons of consultation at a walk-in clinic in Quebec, from a patient perspective

2024· article· en· W4404807307 on OpenAlexaboutno aff
Jean Stanciu, Alexie Richer, Marie-Ève Lavoie, Marie Therese Lussier, Claude Richard

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldHealth Professions
TopicPatient-Provider Communication in Healthcare
Canadian institutionsnot available
Fundersnot available
KeywordsWalk-inContext (archaeology)Observational studyFamily medicineMedicineComplaintPerspective (graphical)PopulationDescriptive statisticsAlternative medicine

Abstract

fetched live from OpenAlex

Context In walk-in clinics, physicians have limited time with patients. A consultation preparation sheet (CPS) was developed to help patients better characterize their reason for consulting. Objective To paint a portrait of the patient9s perspective when visiting a walk-in clinic, focusing on the reasons for consulting, concerns, expectations and impact on their lives. Study Design and Analysis Prospective exploratory observational study. Reasons for consultation on the CPS were classified according to the International Classification of Primary Care (ICPC-3) codes and chapters. Descriptive analyses were performed. Setting Walk-in clinic of an academic family medicine clinic in Quebec, Canada. Population Studied All patients consulting at one walk-in clinic from January to October 2019 were invited to fill the CPS anonymously before seeing the doctor. On a voluntary basis, they could return their CPS. Instrument: The CPS has 17 short and simple questions on patient experience and biomedical aspects of the complaint. Outcome Measures Frequency and ranking of ICPC-3 codes in the CPS. Levels of concern, proportion of previous consultation for the same issue, and description of expectations and impacts on daily living according to the reason for consultation. Results From the 3,115 CPS distributed, 2,645 (85%) were completed and 78% included a reason for consultation; which was mostly described as symptoms (72%) such as fever (13%) and cough (13%). 81% of patients were worried about their symptoms. Average number of patient expectations for their visit was 1.8, the most frequent being to understand their symptoms (56%) and to be relieved (55%). Higher levels of worry were reported for psychological (94%), hematologic (94%) and circulatory (93%) problems. A high proportion (73%) of patients with psychological complaints had consulted previously for that problem. Patients with respiratory, psychological or endocrine problems reported being more affected with regard to their basic needs (eg. sleeping, eating; 70%-77%) vs other needs (walking, exercise; 26%-28%). Conclusions In addition to biomedical aspects, the novelty of the CPS lies in the fact that it allows patients to describe their personal experience with their health problem (eg. concerns, impacts on daily living). Making physicians aware of these experiences could improve patient trust and create stronger therapeutic alliances in the context of walk-in clinics where time with patients is limit.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.107
Threshold uncertainty score0.215

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0030.001
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0090.000

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 head0.130
GPT teacher head0.432
Teacher spread0.302 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
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".

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Citations0
Published2024
Admission routes1
Has abstractyes

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