Treatment trends for stage III non-small cell lung cancer for noninsured patients compared with other types of insurances: A National Cancer Database analysis.

2012 ◽  
Vol 30 (34_suppl) ◽  
pp. 262-262
Author(s):  
Khaled Abou El Ezz ◽  
David Charles Olson ◽  
Peter T. Silberstein

262 Background: This study investigated trends in management of stage III NSCLC in patients with no insurance versus other insurance types using the National Cancer Database (NCDB). Methods: 281,277 patients with Stage III NSCLC were identified from 2000 to 2009 using the NCDB. Reported use of surgery, radiation, chemotherapy, or no treatment were analyzed by insurance status. Results: Radiation/chemotherapy was most often used to treat stage III NSCLC among non-insured (41.7%), Medicare (31.3%), Medicaid (42.3%), and private insured patients (43.9%). Non-insured were just as likely to receive radiation/chemotherapy as Medicaid (41.7% vs. 42.3%, p=0.36) but less likely than privately insured (41.7% vs. 43.9%, p<0.001). Non-insured were more likely to receive no treatment than privately insured (20.8% vs. 11.7%, p<0.001) and Medicaid (20.8% vs. 16.8%, p <0.001) but less likely than Medicare (20. 8% vs. 24.6%, p<0.001). Tri-modality treatment was given less often to non-insured patients than privately insured (4.6% vs. 10.2%, p<0.001) and Medicaid (4.6% vs. 6.2%, p<0.001) but more often than Medicare patients (4.6% vs. 3.7%, p<0.001). Conclusions: Stage III NSCLC was most often given chemotherapy/radiation regardless of insurance status. Non-insured patients received this treatment as often as Medicaid but less often than privately insured. Non-insured patients also received no treatment more often than Medicaid and privately insured and less often than Medicare. Future studies could examine if average age among the populations impacted these findings. [Table: see text]

2013 ◽  
Vol 31 (15_suppl) ◽  
pp. e14642-e14642
Author(s):  
David C. Olson ◽  
Khaled Mohamed Abou El-Ezz ◽  
Peter T. Silberstein

e14642 Background: Insurance status has been shown to affect adherence to guidelines in the treatment of colon cancer1. This study aims to investigate trends in management of colon cancer and time to first treatment in patients with various insurance types using the National Cancer Database (NCDB). Methods: Treatment data for 845,121 patients and time to first treatment data for 497,993 patients diagnosed with colon cancer between 2000 and 2010 were identified using the NCDB. Reported utilization of treatment and time to first treatment were analyzed by insurance status. Results: Among all stages of colon cancer, no treatment was received more often by Veteran Affairs (10.5%) and Medicare (10.9%) patients than uninsured (8.8%), managed care (4.5%), private insurance (4.7%), Medicaid (8.4%) or Medicare with supplement (7.7%). Among stage I colon cancer, surgery was received less often by uninsured (90.9%) than other insurance types. Stage III colon cancer patients enrolled in Medicare with/without supplement received chemotherapy less often than other insurance types (49.9% and 46%). Stage IV Medicare patients with/without supplement also received chemotherapy less than other insurance types (59.5% and 52.9%). Surgery as monotherapy was the most common treatment received among all insurance types and stages. More uninsured patients received treatment within 3 days than any other insurance types (61%). A delay of at least 17days occurred more in Veteran Affairs patients than other insurance types (40.6%). Conclusions: This is the largest study to date to have examined treatment trends and time to first treatment. Among all insurance types, Medicare without supplement and Veteran Affairs patients were most likely to receive no treatment. Uninsured were less likely to receive the standard of care treatment with stage I cancers. Medicare patients were less likely to receive the standard of care for stage III and stage IV cancers than other insurance types. Veteran Affairs patients had treatment delayed significantly more than other insurance types. Future studies are needed to assess factors leading to receipt of substandard care.


2021 ◽  
pp. 019459982110298
Author(s):  
Andy M. Habib ◽  
Ryan M. Carey ◽  
Aman Prasad ◽  
Leila J. Mady ◽  
Justin R. Shinn ◽  
...  

Objective To assess the impact of sociodemographic factors on primary treatment choice (surgery vs radiotherapy) in patients with human papillomavirus–associated (HPV+) oropharyngeal squamous cell carcinoma (OPSCC). Study Design Retrospective analysis of the National Cancer Database. Setting Data from >1500 Commission on Cancer institutions (academic and community) via the National Cancer Database. Methods Our sample consists of patients diagnosed with HPV+ OPSCC from 2010 to 2015. The primary outcome of interest was initial treatment modality: surgery vs radiation. We performed multivariable logistic models to assess the relationship between treatment choice and sociodemographic factors, including sex, race, treatment facility, and insurance status. Results Of the 16,043 patients identified, 5894 (36.7%) underwent primary surgery while 10,149 (63.3%) received primary radiotherapy. Black patients were less likely than White patients to receive primary surgery (odds ratio [OR], 0.80; 95% CI, 0.66-0.96). When compared with privately insured patients, those who were uninsured or on Medicaid or Medicare were also less likely to receive primary surgery (OR, 0.70 [95% CI, 0.56-0.86]; OR, 0.77 [95% CI, 0.65-0.91]; OR, 0.85 [95% CI, 0.75-0.96], respectively). Patients receiving treatment at an academic/research cancer program were more likely to undergo primary surgery than those treated at comprehensive community cancer programs (OR, 1.33; 95% CI, 1.14-1.56). Conclusion In this large sample of patients with HPV+ OPSCC, race and insurance status affect primary treatment choice. Specifically, Black and nonprivately insured patients are less likely to receive primary surgery as compared with White or privately insured patients. Our findings illuminate potential disparities in HPV+ OPSCC treatment.


2020 ◽  
Vol 7 (5) ◽  
pp. 531-540
Author(s):  
Igor Fischer ◽  
Hendrik-Jan Mijderwijk ◽  
Ulf D Kahlert ◽  
Marion Rapp ◽  
Michael Sabel ◽  
...  

Abstract Background Prior studies have suggested an association between patient socioeconomic status and brain tumors. In the present study we attempt to indirectly validate the findings, using health insurance status as a proxy for socioeconomic status. Methods There are 2 types of health insurance in Germany: statutory and private. Owing to regulations, low- and middle-income residents are typically statutory insured, whereas high-income residents have the option of choosing a private insurance. We compared the frequencies of privately insured patients suffering from malignant neoplasms of the brain with the corresponding frequencies among other neurosurgical patients at our hospital and among the German population. To correct for age, sex, and distance from the hospital, we included these variables as predictors in logistic and binomial regression. Results A significant association (odds ratio [OR] = 1.59, CI = 1.45-1.74, P &lt; .001) between health insurance status and brain tumors was found. The association is independent of patients’ sex or age. Whereas privately insured patients generally tend to come from farther away, such a relationship was not observed for patients suffering from brain tumors. Comparing the out of house and in-house brain tumor patients showed no selection bias on our side. Conclusion Previous studies have found that people with a higher income, level of education, or socioeconomic status are more likely to suffer from malignant brain tumors. Our findings are in line with these studies. Although the reason behind the association remains unclear, the probability that our results are due to some random effect in the data is extremely low.


2007 ◽  
Vol 25 (18_suppl) ◽  
pp. 6568-6568
Author(s):  
B. N. Polite ◽  
B. Huskey ◽  
M. McKee ◽  
J. J. Dignam

6568 Background: Even when stage is controlled for, AA are more likely to die from colon cancer than are W. Previous research suggests that AA are less likely to receive adjuvant chemotherapy for Stage III colon cancer than W. This study examines the differences in the receipt of chemotherapy for stage III colon cancer and the reasons behind those differences. Methods: The records of patients diagnosed with and/or receiving their first-course of treatment for Stage III colon cancer at the University of Chicago between 1995–2004 were examined. Specifically, patient charts were audited to determine whether the patients had received chemotherapy, and if not, the documented reasons for the non-receipt of therapy. In the case of incomplete records, the patients’ outside physicians were contacted to ascertain the chemotherapy history. Chemotherapy information was unavailable for only 13 patients (5 AA and 8 W). Results: A total of 186 patients (110 AA and 76 W) were diagnosed with stage III colon cancer at the University of Chicago between 1995–2004. No significant differences were seen with respect to age, sex or tumor location between AA and W. In total, 65% of AA versus 82% of W received chemotherapy (OR 0.43; 95% CI: 0.20–0.86). AA were more likely to not undergo chemotherapy because of comorbidities (OR 3.80; 95%CI 1.35–10.50). Those pts not receiving therapy because of comorbidities had a poorer overall survival than those who received therapy (HR 5.9; 95%CI 3.4–10.3). This effect held for both AA and W pts (p=0.65 for race and comorbidity interaction). Among the 146 pts (86AA, 63W) for whom it is known that chemotherapy was recommended, AA were over 9 times as likely to have a documented refusal (OR 9.5; 95% CI 1.19–75.4). These findings were robust to adjustments for age, sex, insurance status and marital status. Conclusions: AA were significantly less likely than W to receive chemotherapy for stage III colon cancer. The reasons for the difference include both refusal of therapy and the presence of comorbidities that the treating physicians felt were a contraindication to therapy. Future research should be directed at better understanding the reasons behind the higher refusal rates for AA patients. No significant financial relationships to disclose.


2015 ◽  
Vol 33 (3_suppl) ◽  
pp. 769-769
Author(s):  
Yingjia Chen ◽  
Thomas John Semrad ◽  
Rosemary Donaldson Cress ◽  
Laurel A. Beckett

769 Background: Colon cancer and dementia have a high risk of co-occurrence. Prior studies found that patients with dementia have higher mortality than non-demented counterparts, mostly from non-cancer causes. We hypothesized that a dementia diagnosis using an improved algorithm would be associated with reduced use of postoperative therapy. Methods: In addition to the claims-based algorithm for dementia published by Centers for Medicare and Medicaid Services that uses SEER-Medicare Medicare Provider Analysis and Review, Carrier Claims, Home Health Agencies, and Outpatient files, we developed a medication-based algorithm using the part D file based on prescription for any of the five FDA-approved dementia drugs (donepezil, galantamine, memantine, rivastigmine, tacrine). We measured agreement between the two diagnostic algorithms with k-statistics. Using each algorithm and a final combined algorithm, we used multivariable logistic regression adjusting for demographics and disease characteristics to examine the effect of dementia on the use of post-operative colon cancer chemotherapy. Parallel analyses restricted the population to later-stage cancer patients (stage III/IV). Results: 46,126 patients diagnosed between 2007 and 2009 were identified. 20% had dementia by either of the algorithms. 9% of the dementia cases were identified through Part D data. The two algorithms showed moderate agreement (k>0.49, p=0.007). After surgery, those patients with dementia by the combined algorithm were less likely to receive chemotherapy (OR = 0.641, 95% CI: 0.597-0.688). Those with dementia identified by part D data were even less likely to receive chemotherapy than those identified by the claims algorithm (OR=0.617, 95% CI: 0.466-0.816 for medication; OR=0.767, 95% CI: 0.684-0.860 for claims). A similar pattern was detected when restricting to stage III/IV patients (OR=0.667, 95% CI: 0.457-0.973). Conclusions: Part D data increases the sensitivity for identifying dementia cases in SEER-Medicare. Patients with dementia are significantly less likely to receive post-operative chemotherapy. Thus, reduced postoperative colon cancer therapy among patients with dementia may contribute to higher cancer-related mortality.


2019 ◽  
Vol 37 (15_suppl) ◽  
pp. TPS8573-TPS8573 ◽  
Author(s):  
Jeffrey D. Bradley ◽  
Makoto Nishio ◽  
Isamu Okamoto ◽  
Michael David Newton ◽  
Leonardo Trani ◽  
...  

TPS8573 Background: Durvalumab, a selective, high-affinity, engineered human IgG1 mAb that blocks PD-L1 binding to PD-1 and CD80, is approved in the US, Japan and several other countries, for the treatment of patients (pts) with unresectable, stage III non-small cell lung cancer (NSCLC) whose disease has not progressed following concurrent chemoradiotherapy (cCRT). These approvals were based on results from the phase 3 PACIFIC study, in which durvalumab was given 1–42 days after completion of definitive cCRT and significantly improved progression-free survival (PFS) vs placebo (median 16.8 vs 5.6 months; HR 0.52, 95% CI 0.42– 0.65; p<0.001) and overall survival (OS) vs placebo (stratified HR 0.68; 99.73% CI 0.47–0.997; p=0.0025). Increasing evidence suggests additional benefit when anti-PD-1/PD-L1 therapies are administered alongside cCRT. The PACIFIC 2 study therefore aims to assess whether durvalumab plus cCRT provides additional benefit, in terms of PFS and objective response rate (ORR), compared with cCRT alone. Methods: PACIFIC 2 is a phase 3, randomized, double-blind, placebo-controlled, multicenter, international study. Approximately 300 pts with unresectable stage III NSCLC will be randomized (2:1) to receive either durvalumab (intravenous 1500 mg) every 4 weeks (q4w) + cCRT, or placebo q4w + cCRT. Eligible pts must have histologically or cytologically confirmed stage III disease; ECOG performance status 0 or 1; and life expectancy >12 weeks at randomization. Pts who discontinue treatment will be followed for safety and OS. Primary endpoints are PFS and ORR (RECIST v1.1) assessed via blinded independent central review. Secondary endpoints include OS; OS at month 24; complete response (CR) rate; duration of response; disease control rate; time to death/distant metastases; time from randomization to second progression; safety; and symptoms, functioning and global health status. Pts with a CR, partial response or stable disease will continue to receive durvalumab or placebo until clinical or RECIST v1.1-defined disease progression, or until another discontinuation criterion is met. Study enrollment began in March 2018 and recruitment is ongoing. Clinical trial information: NCT03519971.


2021 ◽  
Vol 9 (1) ◽  
pp. 232596712097998
Author(s):  
Mara Olson ◽  
Nirav Pandya

Background: Non- and underinsured individuals experience poor access to care and treatment delays. Meniscal injury is a common reason for surgical intervention in the pediatric population, and delays in care can lead to progression of the tear and other associated problems. Purpose: To investigate the impact of insurance status on access to care and severity of meniscal injury in the pediatric population. Study Design: Cohort study; Level of evidence, 3. Methods: Enrolled in this study were 49 patients receiving care for a meniscal injury between 2016 and 2018 from a safety-net medical system that does not prioritize patients based on insurance status. The patients were stratified into those publicly insured and those privately insured. Access to care was measured as wait time to various points of care: initial injury to clinic, injury to magnetic resonance imaging (MRI), injury to surgery, clinic to MRI, clinic to surgery, and MRI to surgery. The severity of the meniscal tear was measured by findings at the time of arthroscopy, including the type of tear identified, surgery performed, and cartilage injury. Results: Publicly insured patients waited a mean 230 days longer (347 vs 117 days; P < .01) to undergo surgery after injury compared with privately insured patients. The mean wait times in all categories except time from MRI to surgery were significantly longer for publicly insured patients, including injury to clinic (212 vs 73 days; P < .01), injury to MRI (260 vs 28 days; P < .001), injury to surgery (347 vs 117 days; P < .01), clinic to MRI (36 vs 3.9 days; P < .001), and clinic to surgery (136 vs 44 days; P < .01). Neither increased wait times nor insurance status were associated with greater surgical repair rate, severe tear type, or cartilage injury. Conclusion: Publicly insured pediatric patients waited significantly longer for a diagnosis of meniscal tear compared with privately insured patients, even in a safety-net setting. These delays were not associated with greater tear severity or cartilage changes. Providers in all models of care should recognize that insurance status and the socioeconomic factors it represents prevent publicly insured patients from timely diagnostic points of care and strive to minimize the resulting delayed return to normal activity as well as the potential long-term clinical effects thereof.


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