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1.
J Am Med Inform Assoc ; 29(7): 1217-1224, 2022 06 14.
Article En | MEDLINE | ID: mdl-35348718

OBJECTIVE: Tumor registries in integrated healthcare systems (IHCS) have high precision for identifying incident cancer but often miss recently diagnosed cancers or those diagnosed outside of the IHCS. We developed an algorithm using the electronic medical record (EMR) to identify people with a history of cancer not captured in the tumor registry to identify adults, aged 40-65 years, with no history of cancer. MATERIALS AND METHODS: The algorithm was developed at Kaiser Permanente Colorado, and then applied to 7 other IHCS. We included tumor registry data, diagnosis and procedure codes, chemotherapy files, oncology encounters, and revenue data to develop the algorithm. Each IHCS adapted the algorithm to their EMR data and calculated sensitivity and specificity to evaluate the algorithm's performance after iterative chart review. RESULTS: We included data from over 1.26 million eligible people across 8 IHCS; 55 601 (4.4%) were in a tumor registry, and 44848 (3.5%) had a reported cancer not captured in a registry. The common attributes of the final algorithm at each site were diagnosis and procedure codes. The sensitivity of the algorithm at each IHCS was 90.65%-100%, and the specificity was 87.91%-100%. DISCUSSION: Relying only on tumor registry data would miss nearly half of the identified cancers. Our algorithm was robust and required only minor modifications to adapt to other EMR systems. CONCLUSION: This algorithm can identify cancer cases regardless of when the diagnosis occurred and may be useful for a variety of research applications or quality improvement projects around cancer care.


Delivery of Health Care, Integrated , Neoplasms , Adult , Algorithms , Data Collection , Electronic Health Records , Humans , Neoplasms/diagnosis
2.
Pediatrics ; 117(5): e821-6, 2006 May.
Article En | MEDLINE | ID: mdl-16651286

OBJECTIVE: The objective of this study was to assess the safety of routine trivalent influenza vaccine (TIV) administration among healthy children 6 through 23 months of age, after the Advisory Committee on Immunization Practices recommendation. METHODS: The study was a retrospective case-control study of children receiving TIV in the first 2 seasons after the Advisory Committee on Immunization Practices recommendation. We assessed outcomes in the 42 days after vaccination in a population of 13,383 children. Each case subject was matched, according to age and gender, with 3 control subjects. Hazard ratios were calculated with conditional logistic regression analysis. RESULTS: We found no statistically significantly elevated hazard ratios for the first TIV dose. An elevated risk of pharyngitis was found for children receiving a second TIV dose. No elevated risk of seizure was found. CONCLUSION: These results, for a population of healthy children, showed no medically significant adverse events related to TIV among children 6 to 23 months of age.


Influenza Vaccines/adverse effects , Case-Control Studies , Female , Humans , Immunization Schedule , Infant , Influenza, Human/prevention & control , Male
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