Using Self-reports or Claims to Assess Disease Prevalence: It's Complicated.

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Using Self-reports or Claims to Assess Disease Prevalence: It's Complicated.

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2017 nî lūn-bûn

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2017年の論文

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2017年論文

@yue

2017年論文

@zh-hant

2017年論文

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2017年論文

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2017年論文

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2017年论文

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2017年论文

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2017年论文

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Using Self-reports or Claims to Assess Disease Prevalence: It's Complicated.

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Using Self-reports or Claims to Assess Disease Prevalence: It's Complicated.

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Using Self-reports or Claims to Assess Disease Prevalence: It's Complicated.

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P1476

Using Self-reports or Claims to Assess Disease Prevalence: It's Complicated

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P2093

Dana P Goldman

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Henu Zhao

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Patricia St Clair

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Roxanna Seyedin

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Étienne Gaudette

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P2860

Identifying diabetics in Medicare claims and survey data: implications for health services research.

Data sources for measuring comorbidity: a comparison of hospital records and medicare claims for cancer patients.

Validity of gout diagnoses in administrative data.

Identification of dementia: agreement among national survey data, medicare claims, and death certificates.

The accuracy of medicare claims data in identifying Alzheimer's disease.

Agreement between self-reported information and medical claims data on diagnosed diabetes in Oregon's Medicaid population.

Identifying chronic conditions in Medicare claims data: evaluating the Chronic Condition Data Warehouse algorithm.

Specificity and sensitivity of claims-based algorithms for identifying members of Medicare+Choice health plans that have chronic medical conditions.

Failure of ICD-9-CM codes to identify patients with comorbid chronic kidney disease in diabetes

Hospital episodes and physician visits: the concordance between self-reports and medicare claims

P304

782-788

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scholarly article

P356

10.1097/MLR.0000000000000753

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P433

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P478

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P50

Bryan Tysinger

P577

2017-08-01T00:00:00Z

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P698

28617703

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5507726

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