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Record W3182042426 · doi:10.1136/bmjqs-2021-013110

Effect of a health system payment and quality improvement programme for tonsillectomy in Ontario, Canada: an interrupted time series analysis

2021· article· en· W3182042426 on OpenAlexaffabout
Sanjay Mahant, Jun Guan, Jessie Zhang, Sima Gandhi, Evan J. Propst, Astrid Guttmann

Bibliographic record

VenueBMJ Quality & Safety · 2021
Typearticle
Languageen
FieldMedicine
TopicObstructive Sleep Apnea Research
Canadian institutionsInstitute for Clinical Evaluative SciencesSickKids FoundationHospital for Sick ChildrenPublic Health OntarioUniversity of Toronto
Fundersnot available
KeywordsTonsillectomyMedicineMedical prescriptionInterrupted time seriesPsychological interventionInterrupted Time Series AnalysisPediatricsQuality managementPerioperativeEmergency medicineSurgeryNursingOperations management

Abstract

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BACKGROUND: Tonsillectomy is among the most common and cumulatively expensive surgical procedures in children, with known variations in quality of care. However, evidence on health system interventions to improve quality of care is limited. The Quality-Based Procedures (QBP) programme in Ontario, Canada, introduced fixed episode hospital payment per tonsillectomy and disseminated a perioperative care pathway. We determined the association of this payment and quality improvement programme with tonsillectomy quality of care. METHODS: Interrupted time series analysis of children undergoing elective tonsillectomy at community and children's hospitals in Ontario in the QBP period (1 April 2014 to 31 December 2018) and the pre-QBP period (1 January 2009 to 31 January 2014) using health administrative data. We compared the age-standardised and sex-standardised rates for all-cause tonsillectomy-related revisits within 30 days, opioid prescription fills within 30 days and index tonsillectomy inpatient admission. RESULTS: 111 411 children underwent tonsillectomy: 51 967 in the QBP period and 59 444 in the pre-QBP period (annual median number of hospitals, 86 (range 77-93)). Following QBP programme implementation, revisit rates decreased for all-cause tonsillectomy-related revisits (0.48 to -0.18 revisits per 1000 tonsillectomies per month; difference -0.66 revisits per 1000 tonsillectomies per month (95% CI -0.97 to -0.34); p<0.0001). Codeine prescription fill rate continued to decrease but at a slower rate (-4.81 to -0.11 prescriptions per 1000 tonsillectomies per month; difference 4.69 (95% CI 3.60 to 5.79) prescriptions per 1000 tonsillectomies per month; p<0.0001). The index tonsillectomy inpatient admission rate decreased (1.12 to 0.23 admissions per 1000 tonsillectomies per month; difference -0.89 (95% CI -1.33 to -0.44) admissions per 1000 tonsillectomies per month; p<0.0001). CONCLUSIONS: The payment and quality improvement programme was associated with several improvements in quality of care. These findings may inform jurisdictions planning health system interventions to improve quality of care for tonsillectomy and other paediatric procedures.

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)0.009
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation 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 score0.158
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0090.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.043
GPT teacher head0.386
Teacher spread0.343 · 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.

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

Citations4
Published2021
Admission routes2
Has abstractyes

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