MétaCan
Menu
Back to cohort
Record W2067035121 · doi:10.1186/1472-6920-7-13

Peer assessment of outpatient consultation letters – feasibility and satisfaction

2007· article· en· W2067035121 on OpenAlexafffund
Kathryn Myers, Suzan Dojeiji, Craig Campbell

Bibliographic record

VenueBMC Medical Education · 2007
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicHealthcare Systems and Technology
Canadian institutionsQueen's UniversityUniversity of Ottawa
FundersRoyal College of Physicians and Surgeons of Canada
KeywordsLikert scaleCronbach's alphaFamily medicineCollationScale (ratio)Medical educationMedicinePatient satisfactionRating scalePsychologyNursingClinical psychologyPsychometrics

Abstract

fetched live from OpenAlex

BACKGROUND: Written correspondence is one of the most important forms of communication between health care providers, yet there is little feedback provided to specialists. The objective of this study was to determine the feasibility and satisfaction of a peer assessment program on consultation letters and to determine inter-rater reliability between family physicians and specialists. METHODS: A rating scale of nine 5-point Likert scale items including specific content, style items, education value of the letter and an overall rating was developed from a previous validated tool. Nine Internal Medicine specialists/subspecialists from two tertiary care centres submitted 10 letters with patient and physician identifiers removed. Two Internal Medicine specialists, and 2 family physicians from the other centre rated each letter (to protect writer anonymity). A satisfaction survey was sent to each writer and rater after collation of the results. A follow-up survey was sent 6-8 months later. RESULTS: There was a high degree of satisfaction with the process and feedback. The rating scale information was felt to be useful and appropriate for evaluating the quality of consultation letters by 6/7 writers. 5/7 seven writers felt that the feedback they received resulted in immediate changes to their letters. Six months later, 6/9 writers indicated they had maintained changes in their letters. Raters rank ordered letters similarly (Cronbach's alpha 0.57-0.84) but mean scores were highly variant. At site 1 there were significant differences in scoring brevity (p < 0.01) between family physician and specialist raters; whereas, at site 2 there were differences in scoring of history (p < 0.01), physical examination (p < 0.01) and educational value (p < 0.01) of the letter. CONCLUSION: Most participants found peer assessment of letters feasible and beneficial and longstanding changes occurred in some individuals. Family physicians and specialists appear to have different expectations on some items. Further studies on reliability and validity, with a larger sample, are required before high stakes professional assessments include consultation letters.

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)0.018
metaresearch head score (Gemma)0.081
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: Evaluation · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.982
Threshold uncertainty score0.095

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0180.081
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.001

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 head0.034
GPT teacher head0.354
Teacher spread0.320 · 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.

Study designObservational
DomainEvaluation
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

Citations35
Published2007
Admission routes2
Has abstractyes

Explore more

Same venueBMC Medical EducationSame topicHealthcare Systems and TechnologyFrench-language works237,207