
Max Weiss
VerifiedPrinceton University · History
Active 1956–2024
Research topics
- Computer Science
- Medicine
- Environmental health
- Internal medicine
- Family medicine
Selected publications
Stanford University Press eBooks · 2023
- Computer Science
- Computer Science
discussed the place of Burma in South Asian history over the course of a semesterlong works-in-progress group
Identifying Medicare beneficiaries with dementia
Journal of the American Geriatrics Society · 2021 · 91 citations
- Medicine
- Family medicine
- Environmental health
BACKGROUND/OBJECTIVES: No data exist regarding the validity of International Classification of Disease (ICD)-10 dementia diagnoses against a clinician-adjudicated reference standard within Medicare claims data. We examined the accuracy of claims-based diagnoses with respect to expert clinician adjudication using a novel database with individual-level linkages between electronic health record (EHR) and claims. DESIGN: In this retrospective observational study, two neurologists and two psychiatrists performed a standardized review of patients' medical records from January 2016 to December 2018 and adjudicated dementia status. We measured the accuracy of three claims-based definitions of dementia against the reference standard. SETTING: Mass-General-Brigham Healthcare (MGB), Massachusetts, USA. PARTICIPANTS: From an eligible population of 40,690 fee-for-service (FFS) Medicare beneficiaries, aged 65 years and older, within the MGB Accountable Care Organization (ACO), we generated a random sample of 1002 patients, stratified by the pretest likelihood of dementia using administrative surrogates. INTERVENTION: None. MEASUREMENTS: We evaluated the accuracy (area under receiver operating curve [AUROC]) and calibration (calibration-in-the-large [CITL] and calibration slope) of three ICD-10 claims-based definitions of dementia against clinician-adjudicated standards. We applied inverse probability weighting to reconstruct the eligible population and reported the mean and 95% confidence interval (95% CI) for all performance characteristics, using 10-fold cross-validation (CV). RESULTS: Beneficiaries had an average age of 75.3 years and were predominately female (59%) and non-Hispanic whites (93%). The adjudicated prevalence of dementia in the eligible population was 7%. The best-performing definition demonstrated excellent accuracy (CV-AUC 0.94; 95% CI 0.92-0.96) and was well-calibrated to the reference standard of clinician-adjudicated dementia (CV-CITL <0.001, CV-slope 0.97). CONCLUSION: This study is the first to validate ICD-10 diagnostic codes against a robust and replicable approach to dementia ascertainment, using a real-world clinical reference standard. The best performing definition includes diagnostic codes with strong face validity and outperforms an updated version of a previously validated ICD-9 definition of dementia.
Frequent coauthors
- 27 shared
John Hsu
Massachusetts General Hospital
- 21 shared
Nicole M. Benson
McLean Hospital
- 14 shared
Joseph P. Newhouse
Harvard University
- 10 shared
Deborah Blacker
Massachusetts General Hospital
- 10 shared
Natalia Festa
Yale University
- 9 shared
Zhiyou Yang
Massachusetts General Hospital
- 9 shared
Mary Price
Massachusetts General Hospital
- 9 shared
Vicki Fung
Harvard University
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