Effect of physician specialist alternative payment plans on administrative health data in Calgary: a validation study
Bibliographic record
Abstract
BACKGROUND: There are concerns that alternate payment plans for physicians may be associated with erosion of data quality, given that physicians are paid regardless of whether claims are submitted. Our objective was to determine the proportion of claims submitted by physician specialists using fee-for-service and alternative payment plans, and to identify and compare the validity of information coded in physician billing claims submitted by these specialists in Calgary. METHODS: We conducted a survey of physician specialists to determine their plan status and obtained consent to use physicians' claims data from 4 acute care hospitals in Calgary. Inpatient and emergency department services were identified from the Discharge Abstract Database for Alberta (Canadian Institute for Health Information) and the Alberta Ambulatory Care Classification System database. We linked services to claims by Alberta physicians from 2002 to 2009 by using unique patient and physician identifiers. After identifying the proportion of claims submitted, we reviewed inpatient charts to determine the completeness of submissions as defined by positive predictive value. RESULTS: Of 182 physicians who responded to the survey, 94 (51.6%) used fee-for-service plans exclusively and 51 (28.0%) used alternative payment plans exclusively. Overall completeness of physician submissions for claims was 91.8% for physicians using fee-for-service plans and 90.0% for physicians using alternative payment plans. Submission rate varied by medical specialty (surgery: 92.4% for fee for service v. 88.6% for alternative payment; internal medicine: 94.1% v. 91.3%; neurology: 95.1% v. 91.0%; and pediatrics: 95.1% v. 89.3%). Among claims submitted, the physician accuracies for billing of medical conditions were 87.8% for fee-for-service and 85.0% for alternative payment. INTERPRETATION: Overall submission rates and accuracy in recording diagnoses by physicians who used both plans were high. These findings show that the implementation of alternative payment plan programs in Alberta may not have an impact on the quality of physician claims data.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".