scholarly journals Correction to: Preventive service utilization among low‑income cancer survivors

Author(s):  
Brenna E. Blackburn ◽  
Miguel Marino ◽  
Teresa Schmidt ◽  
John Heintzman ◽  
Brigit Hatch ◽  
...  
Author(s):  
Brenna E. Blackburn ◽  
Miguel Marino ◽  
Teresa Schmidt ◽  
John Heintzman ◽  
Brigit Hatch ◽  
...  

Author(s):  
Devon K Check ◽  
Christopher D Bagett ◽  
KyungSu Kim ◽  
Andrew W Roberts ◽  
Megan C Roberts ◽  
...  

Abstract Background No population-based studies have examined chronic opioid use among cancer survivors who are diverse with respect to diagnosis, age group, and insurance status. Methods We conducted a retrospective cohort study using North Carolina (NC) cancer registry data linked with claims from public and private insurance (2006–2016). We included adults with non-metastatic cancer who had no prior chronic opioid use (N = 38,366). We used modified Poisson regression to assess the adjusted relative risk of chronic opioid use in survivorship (>90-day continuous supply of opioids in the 13–24 months following diagnosis) associated with patient characteristics. Results Only 3.0% of cancer survivors in our cohort used opioids chronically in survivorship. Predictors included younger age (adjusted risk ratio [aRR], 50–59 vs 60–69 = 1.23, 95% confidence interval [CI] = 1.05–1.43), baseline depression (aRR = 1.22, 95% CI = 1.06–1.41) or substance use (aRR = 1.43, 95% CI = 1.15–1.78) and Medicaid (aRR vs Private = 1.93, 95% CI = 1.56–2.40). Survivors who used opioids intermittently (vs not at all) before diagnosis were twice as likely to use opioids chronically in early survivorship (aRR = 2.62, 95% CI = 2.28–3.02). Those who used opioids chronically (vs intermittently or not at all) during active treatment had a nearly 17-fold increased likelihood of chronic use in survivorship (aRR = 16.65, 95 CI = 14.30–19.40). Conclusions Younger and low-income survivors, those with baseline depression or substance use, and those who require chronic opioid therapy during treatment are at increased risk for chronic opioid use in survivorship. Our findings point to opportunities improve assessment of psychosocial histories and to engage patients in shared decision-making around long-term pain management, when chronic opioid therapy is required during treatment.


2019 ◽  
Vol 30 (6) ◽  
pp. 587-596
Author(s):  
Miyeong Kim ◽  
Seongkum Heo ◽  
Jung-Yi Hur ◽  
JaeLan Shim ◽  
JinShil Kim

Introduction: Data-based research has rarely addressed advance directives (ADs) in community-dwelling Korean cancer survivors. The purpose of this study was to examine the relationship between AD treatment choices and decisional conflicts among low-income, home-based cancer management recipients. Method: This study uses a cross-sectional, correlational design. The cancer survivors completed the questionnaires (Korean-Advance Directive model and Decisional Conflict Scale). Results: Among the 103 participants (average age 67.92 years), 56.3% had solid cancer. Hospice care was the most desired (68.9%), followed by hemodialysis (18.4%), cardiopulmonary resuscitation/ventilation support (15.5% for each), and chemotherapy (12.6%). Patients who were older, unmarried, unemployed, or underweight/obese; lived alone; or had lower education experienced greater decisional conflicts. In the multivariate analyses, no hospice preference was associated with greater decisional conflicts ( t = −2.63, p = .01). Discussion: Early integration of AD discussion with the nurse-led, home-based service for this vulnerable population could serve as a liaison for quality and continuity of cancer survivorship care.


2011 ◽  
Vol 26 (4) ◽  
pp. 717-723 ◽  
Author(s):  
Maghboeba Mosavel ◽  
Kimberley Sanders

2007 ◽  
Vol 25 (18_suppl) ◽  
pp. 9084-9084
Author(s):  
K. Lee ◽  
M. Lee ◽  
J. Bae ◽  
S. Kim ◽  
Y. Kim ◽  
...  

9084 Background: We aimed to investigate the work situation and work-related difficulties among stomach cancer survivors compared with the general population. Methods: We enrolled 426 stomach cancer survivors diagnosed 2001 to 2003 from two hospitals and 994 members without a history of cancer selected randomly from a representative sample of Korea adults. We identified work situation and work-related difficulties in two groups using multivariate logistic regression. Results: An employment rate of stomach cancer survivors decreased from 66.2% to 53.1% at average 28 months after their diagnosis and it was lower than that of general population (63.5%). The primary reason for not-working in survivors were that they were easily fatigued (31.2%) and had limitations in physical functioning (13.0%). Examining work-related difficulties, 50.6% of survivors who were working at the time of survey reported that they were easily fatigued and 37.5% of survivors reported that their capacity of work decreased whereas only 22.4%, 10.6% of general population reported. Survivors had housework- related difficulties because they were easily fatigued (74.4%) and emotionally distressful (12.2%) whereas 58.0% and 4.0% of general population reported. Older age (adjusted odds ratio [aOR]=18.12; 95% confidence interval [CI]=6.59 to 49.81), female (aOR=5.30; 95% CI=7.37 to 31.31), low income (aOR=1.87; 95% CI=1.04 to 3.33), poor physical functioning (aOR=0.97; 95% CI=0.95 to 0.98) and total gastrectomy (aOR=2.40; 95% CI=1.26 to 4.60) were more likely to increase the likelihood of not working in stomach cancer survivors. Conclusions: Stomach cancer and its treatment had a negative impact on employment rate as previous studies with other type of cancer. Our study found that stomach cancer survivors had an experience not only work-related but also housework-related difficulties. This information on stomach survivors’ might be help to make a better plan for the intervention of stomach cancer survivors’ return to work. No significant financial relationships to disclose.


2018 ◽  
Vol 36 (4_suppl) ◽  
pp. 577-577
Author(s):  
Sally C Lau ◽  
Richard M. Lee-Ying ◽  
Davis Sam ◽  
Winson Y. Cheung

577 Background: With advances in diagnosis and treatment, many cancer patients survive more than 5 years. The care of these cancer survivors (CS) represent an area of unmet need. We aim to characterize the patterns of preventive care in colon CS compared to non-cancer controls (NCC) and identify areas of deficiencies within the context of a universal health care system. Methods: Adult patients with non-metastatic colon cancer treated at the BC Cancer Agency between 2000-2012 were included. An age and gender matched cohort constructed from the provincial database served as NCC. Areas of preventive care examined include vaccinations, cancer, osteoporosis and cardiovascular diseases (CVD) screening. Multivariate regressions were done to test for associations between CS and preventive care. Results: In total, 9381 colon CS and 47187 NCC, matched at a ratio of 1:5, were analyzed. Among CS, median age of diagnosis was 68, 58% were male and 47% had stage 3 disease. The median overall survivals were 12/10/8 years for stages 1/2/3 disease respectively. 61% of these survivors died from colon cancer, 12% from other cancers and 25% from non-cancer causes. Deaths from colon cancer are more common within 5 years of diagnosis, particularly stage 3 disease. CS were more likely to receive any preventive care. In CS compared to NCC, 90% vs 85%, 47% vs 39% and 53% vs 46% of eligible patients had CVD screening, cancer screening and other preventive care respectively. This remained significant in multivariate analyses (Table). Patients who were female, had higher income and resided in urban areas were more likely to receive screening. Among CS, patients > 65 years (OR1.2, p = 0.04 95%CI 1.0-1.4), females (OR 1.5, p < 0.01 95%CI 1.3-1.8) and stages 1 or 2 disease (OR 1.3, p < 0.01 95%CI 1.1-1.5) had higher uptake of screening. Conclusions: Many colon cancer patients are long term survivors. CS are more likely to receive screening than NCC but uptake is suboptimal in certain areas. Targeted education towards certain sub-groups such as males, ≤65 years, low income and rural area patients may improve long term health outcomes. [Table: see text]


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