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Using administrative data for epidemiological research: case study to identify persons with periodontitis

Identifieur interne : 003592 ( Main/Exploration ); précédent : 003591; suivant : 003593

Using administrative data for epidemiological research: case study to identify persons with periodontitis

Auteurs : Leslie Spangler ; Monica Chaudhari ; William E. Barlow ; Katherine M. Newton ; Ronald Inge ; Philippe Hujoel ; Robert J. Genco ; Robert J. Reid

Source :

RBID : ISTEX:C73B297ED50AE398F65AAD55B7022349ADCD0750

Descripteurs français

English descriptors

Abstract

The availability of automated administrative databases in medical and dental healthcare, combined with modern computing power, allows sophisticated multi‐layered analyses of the causes and consequences of care delivered to large populations. These automated databases are now also commonly linked to data extracted from electronic medical records, and are used to measure health system performance, adjust payments, assess providers for quality improvement purposes, and inform policy decisions. Use of health insurance databases can be particularly powerful when linked through common unique identifiers to allow examination of the influences of dental care on medical outcomes and costs, and vice versa. This review describes the growing use of these databases for epidemiological and health services research, their advantages and limitations, and presents a case study in which dental claims data are used to identify persons with periodontitis in order to enable critical assessment of the relationship between periodontal interventions and systemic health outcomes/medical costs.

Url:
DOI: 10.1111/j.1600-0757.2011.00422.x


Affiliations:


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Le document en format XML

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<div type="abstract" xml:lang="en">The availability of automated administrative databases in medical and dental healthcare, combined with modern computing power, allows sophisticated multi‐layered analyses of the causes and consequences of care delivered to large populations. These automated databases are now also commonly linked to data extracted from electronic medical records, and are used to measure health system performance, adjust payments, assess providers for quality improvement purposes, and inform policy decisions. Use of health insurance databases can be particularly powerful when linked through common unique identifiers to allow examination of the influences of dental care on medical outcomes and costs, and vice versa. This review describes the growing use of these databases for epidemiological and health services research, their advantages and limitations, and presents a case study in which dental claims data are used to identify persons with periodontitis in order to enable critical assessment of the relationship between periodontal interventions and systemic health outcomes/medical costs.</div>
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