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Record W2097804119 · doi:10.1177/2158244013509252

Patient–Provider Rapport in the Health Care of People Who Inject Drugs

2013· article· en· W2097804119 on OpenAlexaff
Ginetta Salvalaggio, Robert McKim, Marliss Taylor, T. Cameron Wild

Bibliographic record

VenueSAGE Open · 2013
Typearticle
Languageen
FieldHealth Professions
TopicPatient Satisfaction in Healthcare
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsQualitative researchExploratory researchFocus groupHealth careAddictionService providerPsychologyNursingMedicineFamily medicineService (business)PsychiatryBusiness

Abstract

fetched live from OpenAlex

Little research has described determinants and consequences of patient–provider rapport among people who inject drugs (PWIDs). This mixed-method study (a) qualitatively described facilitators, barriers, and consequences to rapport development between PWIDs and their health care providers and (b) quantitatively tested the hypothesis that quality of rapport is associated with positive patterns of service use. Two exploratory focus groups with PWIDs and care providers were conducted. Subsequently, 89 PWIDs completed a survey interview; of those, eight completed a follow-up qualitative interview. Qualitative results indicated that rapport is influenced by drug-related behaviors, addiction severity, provider expertise, patient-centered care, and perceived discrimination and that rapport then influences patient compliance, timing of care, and criminal activity. Quantitative results indicated that rapport predicted PWID satisfaction with care as well as frequency and timing of emergency department presentations. Results suggest that PWID–provider rapport has several unique determinants and is associated with positive health care outcomes.

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)0.008
metaresearch head score (Gemma)0.035
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.008
Threshold uncertainty score0.044

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0080.035
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0020.002
Scholarly communication0.0020.002
Open science0.0000.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.062
GPT teacher head0.419
Teacher spread0.357 · 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 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

Citations26
Published2013
Admission routes1
Has abstractyes

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