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Record W2167500796 · doi:10.1177/1062860609353201

Why do Patients Seek Care at Retail Clinics, and What Alternatives Did They Consider?

2010· article· en· W2167500796 on OpenAlexaboutno aff
Margaret C. Wang, Gery Ryan, Elizabeth A. McGlynn, Ateev Mehrotra

Bibliographic record

VenueAmerican Journal of Medical Quality · 2010
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicHealthcare Policy and Management
Canadian institutionsnot available
FundersNational Center for Advancing Translational SciencesNational Center for Research Resources
KeywordsMedicineQuarter (Canadian coin)Emergency departmentPrimary careEmergency roomsAmbulatory careFamily medicineAmbulatoryMedical emergencyNursingHealth care

Abstract

fetched live from OpenAlex

Retail clinics are an increasingly popular new model of ambulatory care. To understand why patients seek care at these clinics and what their experiences were like, the authors interviewed 61 patients at 6 retail clinics. Patients were satisfied with the overall experience and were attracted to retail clinics because of their convenient locations and fixed, transparent pricing. Patients who had a primary care physician (PCP) sought care at these clinics primarily because their PCPs were not available in a timely manner. If retail clinics had not been available, a quarter of patients report they would have gone to the emergency department. Retail clinics appear to be responding to the need for convenient, affordable, and consumer-centered care.

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)0.003
metaresearch head score (Gemma)0.031
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 score0.009
Threshold uncertainty score0.018

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.031
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.002
Scholarly communication0.0040.004
Open science0.0010.001
Research integrity0.0030.002
Insufficient payload (model declined to judge)0.0040.001

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 head0.063
GPT teacher head0.365
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 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

Citations40
Published2010
Admission routes1
Has abstractyes

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