Using administrative data for epidemiological research: case study to identify persons with periodontitis
Identifieur interne : 003592 ( Main/Exploration ); précédent : 003591; suivant : 003593Using 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. ReidSource :
- Periodontology 2000 [ 0906-6713 ] ; 2012-02.
Descripteurs français
- Wicri :
- topic : étude de cas, Base de données, Santé publique.
English descriptors
- KwdEn :
- Administrative data, Administrative databases, Aguila, American academy, Assoc, Attachment loss, Case study, Claims data, Database, Dent, Dent assoc, Dent educ, Dental, Dental care, Dental care demand, Dental claims, Dental practitioners, Dental procedures, Dental sealants, Dental services, Diagnosis codes, Enrollee, General dentists, Grembowski, Health serv, Milgrom, More teeth, Osseous surgery, Other studies, Periodontal, Periodontal care, Periodontal chart, Periodontal charts, Periodontal code, Periodontal codes, Periodontal disease, Periodontal maintenance, Periodontal specialists, Periodontitis, Periodontol, Pocket depths, Procedure codes, Public health, Public health dent, Root planing, Service enrollees, Severe periodontitis, Study population, Tissue regeneration, Washington state.
- Teeft :
- Administrative data, Administrative databases, Aguila, American academy, Assoc, Attachment loss, Case study, Claims data, Database, Dent, Dent assoc, Dent educ, Dental, Dental care, Dental care demand, Dental claims, Dental practitioners, Dental procedures, Dental sealants, Dental services, Diagnosis codes, Enrollee, General dentists, Grembowski, Health serv, Milgrom, More teeth, Osseous surgery, Other studies, Periodontal, Periodontal care, Periodontal chart, Periodontal charts, Periodontal code, Periodontal codes, Periodontal disease, Periodontal maintenance, Periodontal specialists, Periodontitis, Periodontol, Pocket depths, Procedure codes, Public health, Public health dent, Root planing, Service enrollees, Severe periodontitis, Study population, Tissue regeneration, Washington state.
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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<term>Administrative databases</term>
<term>Aguila</term>
<term>American academy</term>
<term>Assoc</term>
<term>Attachment loss</term>
<term>Case study</term>
<term>Claims data</term>
<term>Database</term>
<term>Dent</term>
<term>Dent assoc</term>
<term>Dent educ</term>
<term>Dental</term>
<term>Dental care</term>
<term>Dental care demand</term>
<term>Dental claims</term>
<term>Dental practitioners</term>
<term>Dental procedures</term>
<term>Dental sealants</term>
<term>Dental services</term>
<term>Diagnosis codes</term>
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<term>General dentists</term>
<term>Grembowski</term>
<term>Health serv</term>
<term>Milgrom</term>
<term>More teeth</term>
<term>Osseous surgery</term>
<term>Other studies</term>
<term>Periodontal</term>
<term>Periodontal care</term>
<term>Periodontal chart</term>
<term>Periodontal charts</term>
<term>Periodontal code</term>
<term>Periodontal codes</term>
<term>Periodontal disease</term>
<term>Periodontal maintenance</term>
<term>Periodontal specialists</term>
<term>Periodontitis</term>
<term>Periodontol</term>
<term>Pocket depths</term>
<term>Procedure codes</term>
<term>Public health</term>
<term>Public health dent</term>
<term>Root planing</term>
<term>Service enrollees</term>
<term>Severe periodontitis</term>
<term>Study population</term>
<term>Tissue regeneration</term>
<term>Washington state</term>
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<term>Dent</term>
<term>Dent assoc</term>
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<term>Dental</term>
<term>Dental care</term>
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<term>Dental claims</term>
<term>Dental practitioners</term>
<term>Dental procedures</term>
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<term>Dental services</term>
<term>Diagnosis codes</term>
<term>Enrollee</term>
<term>General dentists</term>
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<term>Milgrom</term>
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<term>Periodontal disease</term>
<term>Periodontal maintenance</term>
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<term>Pocket depths</term>
<term>Procedure codes</term>
<term>Public health</term>
<term>Public health dent</term>
<term>Root planing</term>
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<front><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>
</front>
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<tree><noCountry><name sortKey="Barlow, William E" sort="Barlow, William E" uniqKey="Barlow W" first="William E." last="Barlow">William E. Barlow</name>
<name sortKey="Chaudhari, Monica" sort="Chaudhari, Monica" uniqKey="Chaudhari M" first="Monica" last="Chaudhari">Monica Chaudhari</name>
<name sortKey="Genco, Robert J" sort="Genco, Robert J" uniqKey="Genco R" first="Robert J." last="Genco">Robert J. Genco</name>
<name sortKey="Hujoel, Philippe" sort="Hujoel, Philippe" uniqKey="Hujoel P" first="Philippe" last="Hujoel">Philippe Hujoel</name>
<name sortKey="Inge, Ronald" sort="Inge, Ronald" uniqKey="Inge R" first="Ronald" last="Inge">Ronald Inge</name>
<name sortKey="Newton, Katherine M" sort="Newton, Katherine M" uniqKey="Newton K" first="Katherine M." last="Newton">Katherine M. Newton</name>
<name sortKey="Reid, Robert J" sort="Reid, Robert J" uniqKey="Reid R" first="Robert J." last="Reid">Robert J. Reid</name>
<name sortKey="Spangler, Leslie" sort="Spangler, Leslie" uniqKey="Spangler L" first="Leslie" last="Spangler">Leslie Spangler</name>
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