How Sociodemographics, Presence of Oncology Specialists, and Hospital Cancer Programs Affect Accrual to Cancer Treatment Trials

2002 ◽  
Vol 20 (8) ◽  
pp. 2109-2117 ◽  
Author(s):  
Warren B. Sateren ◽  
Edward L. Trimble ◽  
Jeffrey Abrams ◽  
Otis Brawley ◽  
Nancy Breen ◽  
...  

PURPOSE: We chose to examine the impact of socioeconomic factors on accrual to National Cancer Institute (NCI)–sponsored cancer treatment trials. PATIENTS AND METHODS: We estimated the geographic and demographic cancer burden in the United States and then identified 24,332 patients accrued to NCI-sponsored cancer treatment trials during a 12-month period. Next, we examined accrual by age, sex, geographic residence, health insurance status, health maintenance organization market penetration, several proxy measures of socioeconomic status, the availability of an oncologist, and the presence of a hospital with an approved multidisciplinary cancer program. RESULTS: Pediatric patients were accrued to clinical trials at high levels, whereas after adolescence, only a small percentage of cancer patients were enrolled onto clinical trials. There were few differences by sex. Black males as well as Asian-American and Hispanic adults were accrued to clinical trials at lower rates than white cancer patients of the same age. Overall, the highest observed accrual was in suburban counties. Compared with the United States population, patients enrolled onto clinical trials were significantly less likely to be uninsured and more like to have Medicare health insurance. Geographic areas with higher socioeconomic levels had higher levels of clinical trial accruals. The number of oncologists and the presence of approved cancer programs both were significantly associated with increased accrual to clinical trials. CONCLUSION: We must work to increase the number of adults who enroll onto trials, especially among the elderly. Ongoing partnership with professional societies may be an effective approach to strengthen accrual to clinical trials.

2007 ◽  
Vol 25 (18_suppl) ◽  
pp. 6551-6551 ◽  
Author(s):  
A. Bleyer

6551 Background: During the past decade, a variety of initiatives have been implemented to improve the accrual of cancer patients on clinical trials. In the U.S., these have included comprehensive reviews and recommendations by the two most recent National Cancer Institute (NCI) administrations, reorganization of the clinical trials infrastructure at the NCI, and campaigns by the NCI Cooperative Groups and their Coalition. During the past six years, additional funds were allocated to this effort as part of the doubling of the NCI budget. The impact of these efforts on national cancer treatment clinical trials was evaluated, with emphasis on age groups. Methods: Accrual data from NCI-sponsored treatment trials conducted between 1997 and 2006 were obtained from the NCI Cancer Therapy Evaluation Program. Entries were analyzed by patient age, gender, race, type of cancer treated, and calendar year of trial entry. Results: Overall, national cancer treatment trial entries declined after 9–11–2001 and in 2003 reached the lowest levels since 1997. As of 2005 accrual recovered to pre 9–11 levels only in 15–29 and >60 year-olds, with the former demonstrating the greatest gain ( Table ). Entries among <15 and 30–49 year- olds declined steadily since 1997 with no evidence for recovery as of 2005 ( Table ). Overall, the estimated proportion of the nation's cancer patients entered onto national treatment trials remains below 3%. Conclusions: Despite continued national and local efforts to increase the participation of cancer patients on clinical trials, accompanied by significant increases in the NIH and NCI budgets, there is little evidence of a beneficial impact. The effect of 9–11 has yet to be overcome, except in young and elderly adults, in whom specific, targeted initiatives appear to have been successful. The latter approaches may be useful to apply to other age groups, particularly in view of the recent cuts in the cooperative group budgets and current mandated decreases in study accruals. No significant financial relationships to disclose. [Table: see text]


2020 ◽  
Vol 22 (Supplement_2) ◽  
pp. ii79-ii79
Author(s):  
Kathryn Nevel ◽  
Samuel Capouch ◽  
Lisa Arnold ◽  
Katherine Peters ◽  
Nimish Mohile ◽  
...  

Abstract BACKGROUND Patients in rural communities have less access to optimal cancer care and clinical trials. For GBM, access to experimental therapies, and consideration of a clinical trial is embedded in national guidelines. Still, the availability of clinical trials to rural communities, representing 20% of the US population, has not been described. METHODS We queried ClinicalTrials.gov for glioblastoma interventional treatment trials opened between 1/2010 and 1/2020 in the United States. We created a Structured Query Language database and leveraged Google application programming interfaces (API) Places to find name and street addresses for the sites, and Google’s Geocode API to determine the county location. Counties were classified by US Department of Agriculture Rural-Urban Continuum Codes (RUCC 1–3 = urban and RUCC 4–9 = rural). We used z-ratios for rural-urban statistical comparisons. RESULTS We identified 406 interventional treatment trials for GBM at 1491 unique sites. 8.7% of unique sites were in rural settings. Rural sites opened an average of 1.7 trials/site and urban sites 2.8 trials/site from 1/2010–1/2020. Rural sites offered more phase II trials (63% vs 57%, p= 0.03) and fewer phase I trials (22% vs 28%, p= 0.01) than urban sites. Rural locations were more likely to offer federally-sponsored trials (p&lt; 0.002). There were no investigator-initiated or single-institution trials offered at rural locations, and only 1% of industry trials were offered rurally. DISCUSSION Clinical trials for GBM were rarely open in rural areas, and were more dependent on federal funding. Clinical trials are likely difficult to access for rural patients, and this has important implications for the generalizability of research as well as how we engage the field of neuro-oncology and patient advocacy groups in improving patient access to trials. Increasing the number of clinical trials in rural locations may enable more rural patients to access and enroll in GBM studies.


2001 ◽  
Vol 19 (1) ◽  
pp. 105-110 ◽  
Author(s):  
Dana P. Goldman ◽  
Michael L. Schoenbaum ◽  
Arnold L. Potosky ◽  
Jane C. Weeks ◽  
Sandra H. Berry ◽  
...  

PURPOSE: To summarize evidence on the costs of treating patients in clinical trials and to describe the Cost of Cancer Treatment Study, an ongoing effort to produce generalizable estimates of the incremental costs of government-sponsored cancer trials. METHODS: A retrospective study of costs will be conducted with 1,500 cancer patients recruited from a randomly selected sample of institutions in the United States. Patients accrued to either phase II or phase III National Cancer Institute–sponsored clinical trials during a 15-month period will be asked to participate in a study of their health care utilization (n = 750). Costs will be measured approximately 1 year after their trial enrollment from a combination of billing records, medical records, and an in-person survey questionnaire. Similar data will be collected for a comparable group of cancer patients not in trials (n = 750) to provide an estimate of the incremental cost. RESULTS: Evidence suggests insurers limit access to trials because of cost concerns. Public and private efforts are underway to change these policies, but their permanent status is unclear. Previous studies found that treatment costs in clinical trials are similar to costs of standard therapy. However, it is difficult to generalize from these studies because of the unique practice settings, insufficient sample sizes, and the exclusion of potentially important costs. CONCLUSION: Denials of coverage for treatment in a clinical trial limit patient access to trials and could impede clinical research. Preliminary estimates suggest changes to these policies would not be expensive, but these results are not generalizable. The Cost of Cancer Treatment Study is an ongoing effort to provide generalizable estimates of the incremental treatment cost of phase II and phase III cancer trials. The results should be of great interest to insurers and the research community as they consider permanent ways to finance cancer trials.


2021 ◽  
Vol 39 (15_suppl) ◽  
pp. e13609-e13609
Author(s):  
Sarah Hudson-Disalle ◽  
David L. DeRemer ◽  
Larry W Buie ◽  
Mark Hamm ◽  
Jeffrey Pilz ◽  
...  

e13609 Background: Drug shortages are a clear and growing challenge. Prominent shortages included oncology medications and supportive care products essential for the care of cancer patients. Oncology drug shortages often result in disruptions in the timing of chemotherapy treatments, alterations in the dose or regimen administered, or even missed doses when alternative agents are unavailable. The purpose of this survey was to characterize the impact of oncology drug shortages across the United States, including the experiences of health care organizations, resource implications, and the impact on patient safety, patient care, and clinical trials. Methods: A 34-item online survey was distributed to HOPA membership of the Hematology Oncology Pharmacy Association to gather information on shortages of oncology drugs (i.e., all drugs essential in the care of cancer patients, including supportive care agents. Results: Sixty-eight organizations completed the survey; almost all completed by pharmacists, and analysis completed. Sixty-three percent of institutions reported one or more drugs shortages a month, with a 34.33% increase in 2019 from 2018. Sixty four percent of responded had incurred increased costs from oncology drugs shortages, with 7% noting reimbursement issues when switched to brand name therapies due to shortages. Treatment delays, reduced doses or alternative regimens were reported by 74.63% of respondents. The most common disease states which causes a dose delay of treatment included Acute Lymphocytic Leukemia, Lymphoma and Multiple Myeloma with dose reductions noted in 36.36%, 36.36 and 15.91%. The top five oncology drugs on shortage included epirubicin, flutamide, decitabine, mechlorethamine, dactinomycin with the top 5 supportive care drugs on shortage being noted as hydrocortisone, bivalirudin, promethazine, mycophenolate sodium and scopolamine. Respondents noted medication errors related to oncology drug shortages at 4.48%, with noted errors including incorrect conversion from iv to oral etoposide and incorrect EMR drug builds. Oncology Drug shortages impacted clinical trials in 13.4% of respondents in which 54.55% of respondents noting patients not being enrolled in clinical trials. Conclusions: A survey of US oncology pharmacists and technicians indicated that oncology drug shortages occurred frequently in 2020. Shortages led to delays in chemotherapy and changes in treatment or omission, complicated clinical research and increased the risk of medication errors and adverse outcomes.


2018 ◽  
Vol 4 (Supplement 2) ◽  
pp. 108s-108s
Author(s):  
T. Pham ◽  
S. Jiang ◽  
A. Rositch

Background: As the life expectancy of Americans becomes longer, the number of individuals who are diagnosed with cancer and other comorbidities increases rapidly. Management of these patients can become increasingly complicated as physicians administer multiple combinations of drugs and therapies. However, the complexities of how age and comorbidities affect receipt of cancer treatment are not well understood. Aim: To explore the association between age, comorbidities, and subsequent cancer treatment in the elderly diagnosed with the four most common types of cancer in the United States. Methods: We used SEER-Medicare data, which covers 28% of the U.S. population, to explore the association between age, comorbidities, and receipt of cancer treatment within 6 months of diagnosis in 727,136 individuals over 65 years old and diagnosed with breast, colorectal, lung, and prostate cancer from 1992-2011. Comorbidity burden was measured using the Charlson Comorbidity Index (CCI) and analyzed as four quantities (Q1: lowest CCI score to Q4: highest CCI score). Poisson regression models were used to assess the associations between comorbidities and cancer treatment, and whether age modified this relationship. Results: Cancer treatment proportion declined rapidly with age for all cancers while median CCI scores increased with age among breast, colorectal, prostate cancer patients and appeared stable among lung cancer patients. For example, individuals aged 76-99 had higher CCI scores ( P < 0.001) and were less likely to be treated (69.8% vs. 81.1% of those age 66-75 year; P < 0.001). After adjustment for potential confounders, we found that high CCI scores (Q3-Q4) were associated with substantially lower cancer treatment rates compared to low CCI score (Q1) in all cancer patients aged 76-99. Regarding individuals aged 66-75, high CCI scores (Q3-Q4) were not associated with lower colorectal cancer treatment rates, and only the highest CCI score group (Q4) was associated with a modest reduction in breast and prostate cancer treatment rates compared to low CCI score (Q1) (PR [95% CI]: 0.97 [0.95-0.99] and 0.91 [0.88-0.93], respectively). Additional multivariable analysis showed that older patients (aged 76-99) with low CCI score (Q1-Q2) had equal or lower treatment rates compared to younger patients (aged 66-75) with the highest CCI scores (Q4). Conclusion: Our findings suggested that among those aged 66-75 years, comorbidities are less likely to influence the receipt of treatment when compared to individuals aged 76-99. The potential harms and benefits of treatment given these age by comorbidity interactions are not clear, but using curative interventions that only have a modest benefit in a highly comorbid aging population could potentially decrease patients' quality of life.


2009 ◽  
Vol 27 (18_suppl) ◽  
pp. CRA9508-CRA9508 ◽  
Author(s):  
G. Quinn ◽  
S. T. Vadaparampil ◽  
P. Jacobsen ◽  
J. Lee ◽  
J. Lancaster ◽  
...  

CRA9508 Background: Addressing the impact of cancer treatment on fertility is a high priority in providing quality cancer care to patients of childbearing age. Evidence suggests less than 50% of patients receive adequate fertility information prior to cancer treatment. This study assessed the practice patterns of physicians and identified perceptions of barriers to communication about fertility. Methods: A 37 item survey was developed by a review of the literature and previous qualitative interviews. A random sample of physicians from the American Medical Association Masterfile was stratified by board specialty related to oncology. Three waves of surveys were distributed across the United States. The domains of the survey included demographics, knowledge, attitudes and practice behaviors related to FP with patients of childbearing age. Results: Of 1,979 physicians identified, a total of 613 physicians completed the survey, yielding a 33% response rate among oncologists. Oncologists with favorable attitudes towards FP were 4.9 times more likely to discuss the impact of cancer treatment on future fertility than those who have unfavorable attitudes. GYN or Medical/Hematological oncologists were 2.1 times more likely than other specialists to report feeling comfortable discussing FP with their patients. The majority of oncologists reported discussing FP with patients and indicated the primary barrier to discussion was a patient too ill to delay treatment. However, less than 25% of oncologists report referring patients for FP and only 38% report knowledge of the ASCO guidelines suggesting oncologists should discuss FP and refer all patients of childbearing age. Less than 25% of physicians surveyed reported distributing educational materials regarding FP. Conclusions: The majority of physicians in this survey report discussing FP; however they are not consulting specialists or providing educational materials to their patients. Future research will include the development of physician and nurse training curricula and interventions to facilitate discussion of FP between physicians and cancer patients. No significant financial relationships to disclose.


2012 ◽  
Vol 37 (1) ◽  
pp. 113-116 ◽  
Author(s):  
HB Waldman ◽  
D Cannella ◽  
SP Perlman

The proportion and numbers of children living in low income families and without health insurance continues to increase. The magnitude of these problems is considered at localized levels in terms of the impact on the use of dental services.


2021 ◽  
Vol 9 ◽  
Author(s):  
Kristopher A. Lyons ◽  
Theodore H. Arsenault ◽  
Zi Ouyang

Radiation therapy is an important cancer treatment. At least half of the cancer patients in the United States receive radiation therapy every year. X-rays are often used in radiation therapy. How are X-rays produced? How do we use X-rays to treat cancer? This article answers these questions and explains the physics behind radiation therapy.


2008 ◽  
Vol 8 (1) ◽  
pp. 43-49 ◽  
Author(s):  
Jill S. Halterman ◽  
Guillermo Montes ◽  
Laura P. Shone ◽  
Peter G. Szilagyi

2003 ◽  
Vol 21 (8) ◽  
pp. 1618-1623 ◽  
Author(s):  
Karen W.L. Yee ◽  
Joseph L. Pater ◽  
Lam Pho ◽  
Benny Zee ◽  
Lillian L. Siu

Purpose: To evaluate the enrollment of older patients (≥ 65 years) in Canadian cancer treatment trials and compare accrual of older patients in Canada and the United States. Patients and Methods: A retrospective analysis of the number of older patients enrolled in National Cancer Institute of Canada Clinical Trials Group (NCIC CTG) treatment trials between 1993 and 1996 was performed. These rates were compared with the corresponding rates in the general population of patients who were ≥ 65 years old and had cancer, obtained from Statistics Canada, and those published by the Southwest Oncology Group (SWOG) in the United States. Results: Between 1993 and 1996, 4,174 patients were enrolled onto 69 NCIC CTG trials of 16 tumor types. Older patients accounted for 22% of trial enrollees, compared with 58% of the Canadian population with cancer. This discrepancy existed in all cancer types except for multiple myeloma. The percentages of older patients enrolled were also analyzed by study type: 15% in adjuvant trials, 25% in metastatic trials, 29% in investigational new drug trials, 24% in phase I trials, and 21% in supportive care trials. The overall proportion of older patients enrolled onto Canadian trials (22%) was slightly lower than that in SWOG trials (25%). Conclusion: Age remains a barrier for accrual onto cancer treatment trials, even when reimbursement is not an issue. Strategies to overcome this barrier, including the implementation of trials specifically tailored to patients aged ≥ 65 years, are prudent in light of our aging population.


Sign in / Sign up

Export Citation Format

Share Document