Developing a cancer‐specific trigger tool to identify treatment‐related adverse events using administrative data
Autor: | Stephan Dunning, Saul N. Weingart, Albert Feldman, Omar Yaghi, Benjamin Koethe, Allison Lipitz-Snyderman, David M. Kent, Jason Nelson |
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Jazyk: | angličtina |
Rok vydání: | 2020 |
Předmět: |
Male
0301 basic medicine Cancer Research medicine.medical_specialty Blood transfusion Drug-Related Side Effects and Adverse Reactions medicine.medical_treatment adverse event trigger tool Antineoplastic Agents Disease Medical Oncology Risk Assessment lcsh:RC254-282 03 medical and health sciences Patient safety Prostate cancer 0302 clinical medicine Risk Factors quality of care Neoplasms Internal medicine Epidemiology medicine patient safety Humans Radiology Nuclear Medicine and imaging Radiation Injuries Adverse effect Original Research Aged Retrospective Studies business.industry Clinical Cancer Research Cancer Middle Aged medicine.disease lcsh:Neoplasms. Tumors. Oncology. Including cancer and carcinogens Radiation therapy 030104 developmental biology 030220 oncology & carcinogenesis oncology Female epidemiology business Administrative Claims Healthcare Follow-Up Studies |
Zdroj: | Cancer Medicine, Vol 9, Iss 4, Pp 1462-1472 (2020) Cancer Medicine |
ISSN: | 2045-7634 |
Popis: | Background As there are few validated tools to identify treatment‐related adverse events across cancer care settings, we sought to develop oncology‐specific “triggers” to flag potential adverse events among cancer patients using claims data. Methods 322 887 adult patients undergoing an initial course of cancer‐directed therapy for breast, colorectal, lung, or prostate cancer from 2008 to 2014 were drawn from a large commercial claims database. We defined 16 oncology‐specific triggers using diagnosis and procedure codes. To distinguish treatment‐related complications from comorbidities, we required a logical and temporal relationship between a treatment and the associated trigger. We tabulated the prevalence of triggers by cancer type and metastatic status during 1‐year of follow‐up, and examined cancer trigger risk factors. Results Cancer‐specific trigger events affected 19% of patients over the initial treatment year. The trigger burden varied by disease and metastatic status, from 6% of patients with nonmetastatic prostate cancer to 41% and 50% of those with metastatic colorectal and lung cancers, respectively. The most prevalent triggers were abnormal serum bicarbonate, blood transfusion, non‐contrast chest CT scan following radiation therapy, and hypoxemia. Among patients with metastatic disease, 10% had one trigger event and 29% had two or more. Triggers were more common among older patients, women, non‐whites, patients with low family incomes, and those without a college education. Conclusions Oncology‐specific triggers offer a promising method for identifying potential patient safety events among patients across cancer care settings. A claims‐based trigger tool was developed to identify potential adverse events and medical errors among 320 000 patients with breast, colorectal, lung, and prostate cancers. During an initial year of therapy, cancer‐specific trigger events affected 19% of patients and varied by disease and metastatic status, from 6% of patients with nonmetastatic prostate cancer to 41% and 50% of those with metastatic colorectal and lung cancers, respectively. |
Databáze: | OpenAIRE |
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