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Record W2145465950 · doi:10.1093/fampra/cmp049

Patient satisfaction with access in two interprofessional academic family medicine clinics

2009· article· en· W2145465950 on OpenAlexafffundabout
Michelle Howard, Gina Agarwal, Linda Hilts

Bibliographic record

VenueFamily Practice · 2009
Typearticle
Languageen
FieldHealth Professions
TopicPrimary Care and Health Outcomes
Canadian institutionsMcMaster University
FundersMcMaster UniversityHamilton Health Sciences
KeywordsMedicineQuarter (Canadian coin)Family medicineLogistic regressionPatient satisfactionMedical prescriptionEthnic groupScale (ratio)Nursing

Abstract

fetched live from OpenAlex

BACKGROUND: Satisfaction with access to primary care is one component of overall patient satisfaction. The objectives of this paper were to describe patient satisfaction with access in interprofessional family practices and to examine predictors of being less than satisfied with access. METHODS: A survey was mailed to 770 randomly selected patients in two academic interprofessional family practices in Hamilton, Canada. Most items were positively worded statements on a five-point scale from strongly agree to strongly disagree. Outcomes were the proportion of respondents agreeing with statements regarding access. For items where > or =25% of respondents did not agree, we examined socio-demographic predictors of disagreement using multiple variable logistic regression. RESULTS: The response rate was 49.9% (384/770). One-quarter or more of respondents did not agree that they received an explanation if the appointment was delayed at the office, obtain urgent appointments, obtain prescription refills without a visit or that wait times at the office were reasonable. Predictors of not agreeing included younger age, being married or single, more educated, employed and of non-white ethnicity. Less than 10 minutes was the most satisfactory wait time for the appointment to begin; however, the most common wait time reported was 11-20 minutes. One-quarter of respondents had visited the weekend/holiday clinic in the past 12 months; however, use was not associated with perceived ability to obtain an appointment in 1-2 days. CONCLUSIONS: While satisfaction was generally high, some aspects of access could be improved by changes in practice organization or patient education regarding expectations.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesResearch integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.209
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.002
Open science0.0000.000
Research integrity0.0000.004
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 head0.124
GPT teacher head0.549
Teacher spread0.425 · 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 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

Citations30
Published2009
Admission routes3
Has abstractyes

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