Purpose: Every year a significant population exists of those diagnosed with nonsmall cell lung cancer (NSCLC) who do not receive initial treatment upon diagnosis and then "migrate" to additional hospital before ultimately getting treatment. Migration to different hospitals may play a role in the decision to treat or not-to-treat, and we aimed to evaluate the potential factors that lead to treatment.
Methods: A retrospective review of 6212 patients with NSCLC from 29 Kentucky hospital registries from 2012 to 2014 was performed. Variables collected included hospital accreditation status, age at diagnosis, stage, overall survival (OS), and insurance status. Hospital records were matched to Kentucky Cancer Registry records to determine the number of hospitals visited for treatment.
Results: Most patients were treated at their initial hospital (73%). Of the remaining patients, 36% migrated to a different hospital where most received treatment (93%). Migrating to another hospital was associated with Stage I-III disease, younger age (66.4 vs 72.2 years), and longer OS (561 vs 157 days). Notably, migration was also associated with private insurance status and missing treatment modalities at the initial hospital. Treatment after migrating was associated with Stage I-II disease, younger age (65.8 vs 72.8 years), and longer OS (595 vs 153 days). After adjusting for confounders, treated migrating patients lived longer than initially treated patients (591 vs 505 days), especially among those with stage III (563 vs 495 days) and IV (379 vs 300 days) disease.
Conclusion: This analysis demonstrates a survival benefit for initially untreated patients with advanced disease who migrate to another hospital for treatment. Migration was associated with having private insurance, thus making it noteworthy of the relationship between NSCLC survival benefit and insurance status.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1016/j.currproblcancer.2019.100528 | DOI Listing |
Pharmacoeconomics
January 2025
Belgian Health Care Knowledge Centre, Brussels, Belgium.
Background: Forecasting future public pharmaceutical expenditure is a challenge for healthcare payers, particularly owing to the unpredictability of new market introductions and their economic impact. No best-practice forecasting methods have been established so far. The literature distinguishes between the top-down approach, based on historical trends, and the bottom-up approach, using a combination of historical and horizon scanning data.
View Article and Find Full Text PDFBMJ
December 2024
Department of Preventive Medicine, Hanyang University College of Medicine, Seoul, Republic of Korea.
Objective: To identify clusters of women with similar trajectories of breast density change over four longitudinal assessments and to examine the association between these trajectories and the subsequent risk of breast cancer.
Design: Retrospective cohort study.
Setting: Data from the national breast cancer screening programme, which is embedded in the National Health Insurance Service database in Korea.
JCO Oncol Pract
January 2025
Surveillance and Health Equity Science Department, American Cancer Society, Atlanta, GA.
Purpose: Financial hardship is common among cancer survivors and has been associated with worse physical and mental health in selected subpopulations. We comprehensively examined associations of financial hardship with multiple measures of health status, social functioning, and mental health in a large, nationally representative sample of cancer survivors.
Materials And Methods: We identified adults with a cancer history (18-64 years: n = 3,157 and ≥65 years: n = 5,991) from the 2019 to 2021 National Health Interview Survey.
BMC Geriatr
January 2025
Department of Neurology, The Second Affiliated Hospital of Shandong University of Traditional Chinese Medicine, Jinan, Shandong, 250014, China.
Objective: This study aims to investigate the influence of social determinants of health (SDoH) on cognitive performance.
Methods: This study surveyed a sample of older adults aged 60 years and older from the 2011-2014 cohort of participants in the U.S.
Annu Rev Public Health
January 2025
2Ross School of Business, University of Michigan, Ann Arbor, Michigan, USA.
A 2008 review in the considered the question of whether health insurance improves health. The answer was a cautious yes because few studies provided convincing causal evidence. We revisit this question by focusing on a single outcome: mortality.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!