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Record W2061324508 · doi:10.1016/s0840-4704(10)60141-x

Measuring Patient Satisfaction with Radiation Therapy Service Delivery

2009· article· en· W2061324508 on OpenAlexaff
John French, Colleen McGahan

Bibliographic record

VenueHealthcare Management Forum · 2009
Typearticle
Languageen
FieldHealth Professions
TopicPatient Satisfaction in Healthcare
Canadian institutionsBC Cancer Agency
Fundersnot available
KeywordsPatient satisfactionCourtesyMedicineCustomer satisfactionService delivery frameworkService (business)Family medicineNursingBusinessMarketing

Abstract

fetched live from OpenAlex

Patient satisfaction is an important component in the evaluation of health services provided to patients. This study evaluates the results of a patient satisfaction survey collected over five years in a radiation therapy department. The analysis identifies that satisfaction has improved in almost all areas, but there is room for improvement in others. The key findings are the importance of treating patients with courtesy and respect and the relatively lower levels of satisfaction noted for patients treated with palliative intent, an area of concern given these patients' greater needs. We provide aggregate results, identify factors that influence overall satisfaction and demonstrate how the survey results have led to quality improvement initiatives, which in turn have resulted in improved levels of satisfaction for patients.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.508
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0020.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.073
GPT teacher head0.350
Teacher spread0.277 · 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

Citations13
Published2009
Admission routes1
Has abstractyes

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