Accuracy of medicare claims data in identifying Parkinsonism cases: Comparison with the medicare current beneficiary survey
Identifieur interne : 003036 ( Main/Exploration ); précédent : 003035; suivant : 003037Accuracy of medicare claims data in identifying Parkinsonism cases: Comparison with the medicare current beneficiary survey
Auteurs : Katia Noyes [États-Unis] ; Hangsheng Liu [États-Unis] ; Robert Holloway [États-Unis] ; Andrew W. Dick [États-Unis]Source :
- Movement Disorders [ 0885-3185 ] ; 2007-03-15.
Descripteurs français
- Pascal (Inist)
- Wicri :
- geographic : États-Unis.
English descriptors
- KwdEn :
- Accuracy, Aged, Aged, 80 and over, Comparative study, Disability Evaluation, Female, Health Care Surveys, Humans, Insurance Claim Reporting (standards), International Classification of Diseases, Male, Medicare (utilization), Nervous system diseases, Parkinson disease, Parkinson's disease, Parkinsonian Disorders (diagnosis), Parkinsonian Disorders (epidemiology), Parkinsonism, Predictive Value of Tests, Predictive value, Prevalence, Questionnaires, Reproducibility of Results, Self Disclosure, Sensitivity, Sensitivity and Specificity, Specificity, Survey, United States, administrative data, medicare, positive predictive value, sensitivity, specificity.
- MESH :
- geographic : United States.
- diagnosis : Parkinsonian Disorders.
- epidemiology : Parkinsonian Disorders.
- standards : Insurance Claim Reporting.
- utilization : Medicare.
- Aged, Aged, 80 and over, Disability Evaluation, Female, Health Care Surveys, Humans, International Classification of Diseases, Male, Predictive Value of Tests, Prevalence, Questionnaires, Reproducibility of Results, Self Disclosure, Sensitivity and Specificity.
Abstract
Study Purpose: Administrative databases are commonly used to examine use of healthcare service, with researchers relying on diagnostic codes to identify medical conditions. This study evaluates the accuracy of administrative claims in identifying Parkinsonism cases compared to the self‐reported Parkinson's disease (PD). Methods: The reference cases were identified based on the self‐reported PD status and the use of PD drugs collected by the 1992–2000 Medicare Current Beneficiary Survey that contained 72,922 observations from 30,469 individuals. Using ICD‐9 CM, cases with PD were extracted from the corresponding Medicare claims. We compared prevalence of PD obtained using different types of claims. Results: The sensitivities were the highest when all claims were used (66%). All the specificities were greater than 99%. When drug use information was included in the gold standard, the sensitivities became lower, while the specificities and positive predictive values (PPVs) increased. Using more diagnostic codes improved the sensitivity of the identification process but reduced PPVs. Conclusions: Administrative claims can provide fairly accurate and practical approach to “rule in” patients with PD. Depending on the purpose of evaluation, researchers may consider using more categories of claims to improve the sensitivity of the identification algorithm or use fewer diagnoses to minimize number of false positive cases. © 2006 Movement Disorder Society
Url:
DOI: 10.1002/mds.21299
Affiliations:
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Le document en format XML
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Disord.</title><idno type="ISSN">0885-3185</idno><idno type="eISSN">1531-8257</idno><imprint><publisher>Wiley Subscription Services, Inc., A Wiley Company</publisher><pubPlace>Hoboken</pubPlace><date type="published" when="2007-03-15">2007-03-15</date><biblScope unit="vol">22</biblScope><biblScope unit="issue">4</biblScope><biblScope unit="page" from="509">509</biblScope><biblScope unit="page" to="514">514</biblScope></imprint><idno type="ISSN">0885-3185</idno></series><idno type="istex">0D53869239B6D09F0BBAB8B19373C4798831B2EB</idno><idno type="DOI">10.1002/mds.21299</idno><idno type="ArticleID">MDS21299</idno></biblStruct></sourceDesc><seriesStmt><idno type="ISSN">0885-3185</idno></seriesStmt></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Accuracy</term><term>Aged</term><term>Aged, 80 and over</term><term>Comparative study</term><term>Disability Evaluation</term><term>Female</term><term>Health Care Surveys</term><term>Humans</term><term>Insurance Claim Reporting (standards)</term><term>International Classification of Diseases</term><term>Male</term><term>Medicare (utilization)</term><term>Nervous system diseases</term><term>Parkinson disease</term><term>Parkinson's disease</term><term>Parkinsonian Disorders (diagnosis)</term><term>Parkinsonian Disorders (epidemiology)</term><term>Parkinsonism</term><term>Predictive Value of Tests</term><term>Predictive value</term><term>Prevalence</term><term>Questionnaires</term><term>Reproducibility of Results</term><term>Self Disclosure</term><term>Sensitivity</term><term>Sensitivity and Specificity</term><term>Specificity</term><term>Survey</term><term>United States</term><term>administrative data</term><term>medicare</term><term>positive predictive value</term><term>sensitivity</term><term>specificity</term></keywords><keywords scheme="MESH" type="geographic" xml:lang="en"><term>United States</term></keywords><keywords scheme="MESH" qualifier="diagnosis" xml:lang="en"><term>Parkinsonian Disorders</term></keywords><keywords scheme="MESH" qualifier="epidemiology" xml:lang="en"><term>Parkinsonian Disorders</term></keywords><keywords scheme="MESH" qualifier="standards" xml:lang="en"><term>Insurance Claim Reporting</term></keywords><keywords scheme="MESH" qualifier="utilization" xml:lang="en"><term>Medicare</term></keywords><keywords scheme="MESH" xml:lang="en"><term>Aged</term><term>Aged, 80 and over</term><term>Disability Evaluation</term><term>Female</term><term>Health Care Surveys</term><term>Humans</term><term>International Classification of Diseases</term><term>Male</term><term>Predictive Value of Tests</term><term>Prevalence</term><term>Questionnaires</term><term>Reproducibility of Results</term><term>Self Disclosure</term><term>Sensitivity and Specificity</term></keywords><keywords scheme="Pascal" xml:lang="fr"><term>Enquête</term><term>Etude comparative</term><term>Parkinson maladie</term><term>Parkinsonisme</term><term>Précision</term><term>Sensibilité</term><term>Spécificité</term><term>Système nerveux pathologie</term><term>Valeur prédictive</term></keywords><keywords scheme="Wicri" type="geographic" xml:lang="fr"><term>États-Unis</term></keywords></textClass><langUsage><language ident="en">en</language></langUsage></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">Study Purpose: Administrative databases are commonly used to examine use of healthcare service, with researchers relying on diagnostic codes to identify medical conditions. This study evaluates the accuracy of administrative claims in identifying Parkinsonism cases compared to the self‐reported Parkinson's disease (PD). Methods: The reference cases were identified based on the self‐reported PD status and the use of PD drugs collected by the 1992–2000 Medicare Current Beneficiary Survey that contained 72,922 observations from 30,469 individuals. Using ICD‐9 CM, cases with PD were extracted from the corresponding Medicare claims. We compared prevalence of PD obtained using different types of claims. Results: The sensitivities were the highest when all claims were used (66%). All the specificities were greater than 99%. When drug use information was included in the gold standard, the sensitivities became lower, while the specificities and positive predictive values (PPVs) increased. Using more diagnostic codes improved the sensitivity of the identification process but reduced PPVs. Conclusions: Administrative claims can provide fairly accurate and practical approach to “rule in” patients with PD. Depending on the purpose of evaluation, researchers may consider using more categories of claims to improve the sensitivity of the identification algorithm or use fewer diagnoses to minimize number of false positive cases. © 2006 Movement Disorder Society</div></front></TEI><affiliations><list><country><li>États-Unis</li></country><region><li>Pennsylvanie</li><li>État de New York</li></region></list><tree><country name="États-Unis"><region name="État de New York"><name sortKey="Noyes, Katia" sort="Noyes, Katia" uniqKey="Noyes K" first="Katia" last="Noyes">Katia Noyes</name></region><name sortKey="Dick, Andrew W" sort="Dick, Andrew W" uniqKey="Dick A" first="Andrew W." last="Dick">Andrew W. Dick</name><name sortKey="Dick, Andrew W" sort="Dick, Andrew W" uniqKey="Dick A" first="Andrew W." last="Dick">Andrew W. Dick</name><name sortKey="Holloway, Robert" sort="Holloway, Robert" uniqKey="Holloway R" first="Robert" last="Holloway">Robert Holloway</name><name sortKey="Holloway, Robert" sort="Holloway, Robert" uniqKey="Holloway R" first="Robert" last="Holloway">Robert Holloway</name><name sortKey="Liu, Hangsheng" sort="Liu, Hangsheng" uniqKey="Liu H" first="Hangsheng" last="Liu">Hangsheng Liu</name></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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