Development and Validation of an Algorithm to Identify Endometrial Adenocarcinoma in US Administrative Claims Data
| Autor: | G. Banerjee, S. Goldstein, Stephan Lanes, B. Patsner, Daina B. Esposito, Ruihua Yin, Leo Russo |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2019 |
| Předmět: |
0301 basic medicine
Endometrial stromal sarcoma Uterine sarcoma Article Subject Epidemiology business.industry Endometrial cancer lcsh:R Public Health Environmental and Occupational Health lcsh:Medicine medicine.disease Endometrial hyperplasia 03 medical and health sciences 030104 developmental biology 0302 clinical medicine Uterine cancer 030220 oncology & carcinogenesis Fallopian tube cancer Genetics medicine Diagnosis code business Ovarian cancer Algorithm Research Article |
| Zdroj: | Journal of Cancer Epidemiology Journal of Cancer Epidemiology, Vol 2019 (2019) |
| ISSN: | 1687-8558 |
| DOI: | 10.1155/2019/1938952 |
| Popis: | Background. Endometrial adenocarcinoma is the most prevalent type of endometrial cancer. Diagnostic codes to identify endometrial adenocarcinoma in administrative databases, however, have not been validated. Objective. To develop and validate an algorithm for identifying the occurrence of endometrial adenocarcinoma in a health insurance claims database. Methods. To identify potential cases among women in the HealthCore Integrated Research Database (HIRD), published literature and medical consultation were used to develop an algorithm. The algorithm criteria were at least one inpatient diagnosis or at least two outpatient diagnoses of uterine cancer (International Classification of Diseases, Ninth Revision, Clinical Modification (ICD-9-CM) 182.xx) between 1 January 2010 and 31 August 2014. Among women fulfilling these criteria, we obtained medical records and two clinical experts reviewed and adjudicated case status to determine a diagnosis. We then estimated the positive predictive value (PPV) of the algorithm. Results. The PPV estimate was 90.8% (95% CI 86.9–93.6), based on 330 potential cases of endometrial adenocarcinoma. Women who fulfilled the algorithm but who, after review of medical records, were found not to have endometrial adenocarcinoma, had diagnoses such as uterine sarcoma, rhabdomyosarcoma of the uterus, endometrial stromal sarcoma, ovarian cancer, fallopian tube cancer, endometrial hyperplasia, leiomyosarcoma, or colon cancer. Conclusions. An algorithm comprising one inpatient or two outpatient ICD-9-CM diagnosis codes for endometrial adenocarcinoma had a high PPV. The results indicate that claims databases can be used to reliably identify cases of endometrial adenocarcinoma in studies seeking a high PPV. |
| Databáze: | OpenAIRE |
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