Association measures of claims-based algorithms for common chronic conditions were assessed using regularly collected data in Japan.
J Clin Epidemiol
; 99: 84-95, 2018 07.
Article
en En
| MEDLINE
| ID: mdl-29548842
ABSTRACT
OBJECTIVES:
Although claims data are widely used in medical research, their ability to identify persons' health-related conditions has not been fully justified. We assessed the validity of claims-based algorithms (CBAs) for identifying people with common chronic conditions in a large population using annual health screening results as the gold standard. STUDY DESIGN ANDSETTING:
Using a longitudinal claims database (n = 523,267) combined with annual health screening results, we defined the people with hypertension, diabetes, and/or dyslipidemia by applying health screening results as their gold standard and compared them against various CBAs.RESULTS:
By using diagnostic and medication code-based CBAs, sensitivity and specificity were 74.5% (95% confidence interval [CI], 74.2%-74.8%) and 98.2% (98.2%-98.3%) for hypertension, 78.6% (77.3%-79.8%) and 99.6% (99.5%-99.6%) for diabetes, and 34.5% (34.2%-34.7%) and 97.2% (97.2%-97.3%) for dyslipidemia, respectively. Sensitivity did not decrease substantially for hypertension (65.2% [95% CI, 64.9%-65.5%]) and diabetes (73.0% [71.7%-74.2%]) when we used the same CBAs without limiting to primary care settings.CONCLUSION:
We used regularly collected data to obtain CBA association measures, which are applicable to a wide range of populations. Our framework can be a basis of the validity assessment of CBAs for identifying persons' health-related conditions with regularly collected data.Palabras clave
Texto completo:
1
Banco de datos:
MEDLINE
Asunto principal:
Revisión de Utilización de Seguros
/
Algoritmos
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Recolección de Datos
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Diabetes Mellitus
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Dislipidemias
/
Hipertensión
Tipo de estudio:
Diagnostic_studies
/
Prognostic_studies
/
Risk_factors_studies
Límite:
Female
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Humans
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Male
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Middle aged
País como asunto:
Asia
Idioma:
En
Año:
2018
Tipo del documento:
Article