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- Title
Predictors of Unplanned Hospitalizations in Patients With Nonmetastatic Lung Cancer During Chemotherapy.
- Authors
Fessele, Kristen L.; Hayat, Matthew J.; Atkins, Robert L.
- Abstract
Purpose/Objectives: To determine predictors of unplanned hospitalizations in patients with lung cancer to receive chemotherapy in the outpatient setting and examine the potential financial burden of these events. Design: Retrospective, longitudinal cohort study. Setting: The National Cancer Institute's Surveillance, Epidemiology, and End Results (SEER)-Medicare linked database. Sample: Of 104,388 incident cases of lung cancer diagnosed from 2005-2009, 2,457 cases of patients with lung cancer who received outpatient chemotherapy were identified. Patients were aged 66 years or older at diagnosis, had uninterrupted Medicare Part A and B coverage with no health maintenance organization enrollment, and received IV chemotherapy at least once. Methods: Generalized estimating equations was used. Main Research Variables: Patient age, sex, race, marital status, degree of residential urbanization, median income, education level, stage, receipt of radiation therapy, and comorbidities. Findings: Younger age, non-White race, lower education, higher income, receipt of radiation therapy, and lack of preexisting comorbidity were significant predictors of the likelihood of an initial unplanned hospitalization for lung cancer. Non-White race, receipt of radiation therapy, and comorbidity were factors associated with an increased number of hospitalizations. Conclusions: Unplanned hospitalizations are frequent, disruptive, and costly. This article defines areas for further exploration to identify patients at high risk for unexpected complications. Implications for Nursing: This article represents a foundation for development of risk models to enable nursing evaluation of patient risk for chemotherapy treatment interruption and unplanned hospitalization.
- Subjects
ANTINEOPLASTIC agents; CANCER patients; CONFIDENCE intervals; DATABASES; GOODNESS-of-fit tests; HOSPITAL care; INCOME; LONGITUDINAL method; LUNG tumors; RESEARCH methodology; MEDICARE; MULTIVARIATE analysis; POPULATION geography; RACE; RADIOTHERAPY; STATISTICAL sampling; STATISTICS; COMORBIDITY; LOGISTIC regression analysis; EDUCATIONAL attainment; RETROSPECTIVE studies; STATISTICAL models; DESCRIPTIVE statistics; ODDS ratio
- Publication
Oncology Nursing Forum, 2017, Vol 44, Issue 5, pE203
- ISSN
0190-535X
- Publication type
Article
- DOI
10.1188/17.ONF.E203-E212