scholarly journals Definition and Coordination of Roles and Responsibilities Among Cancer Center Clinic and Research Personnel

2020 ◽  
Vol 16 (1) ◽  
pp. e64-e74
Author(s):  
Simon J. Craddock Lee ◽  
Torsten Reimer ◽  
Sandra Garcia ◽  
Erin L. Williams ◽  
Mary West ◽  
...  

PURPOSE: Effective enrollment and treatment of patients in cancer clinical trials require definition and coordination of roles and responsibilities among clinic and research personnel. MATERIALS AND METHODS: We developed a survey that incorporated modified components of the Survey of Physician Attitudes Regarding the Care of Cancer Survivors. Surveys were administered to clinic nursing staff and research personnel at a National Cancer Institute–designated comprehensive cancer center. Results were analyzed using χ2-tests, t tests, and analyses of variance. RESULTS: Surveys were completed by 105 staff members (n = 50 research staff, n = 55 clinic staff; 61% response rate). Research staff were more likely to feel that they had the skills to answer questions, convey information, and provide education for patients on trials (all P < .05). Both clinic and research staff reported receipt of communication about responsibilities in fewer than 30% of cases, although research staff reported provision of such information in more than 60% of cases. Among 20 tasks related to care of patients in trials, no single preferred model of responsibility assignment was selected by the majority of clinic staff for nine tasks (45%) or by research staff for three tasks (15%). Uncertainty about which team coordinates care was reported by three times as many clinic staff as research staff ( P = .01). There was also substantial variation in the preferred model for delivery of care to patients in trials ( P < .05). CONCLUSION: Knowledge, attitudes, and perception of care and responsibilities for patients on clinical trials differ between and among clinic and research personnel. Additional research about how these findings affect efficiency and quality of care on clinical trials is needed.

2017 ◽  
Vol 35 (15_suppl) ◽  
pp. e18215-e18215
Author(s):  
David E. Gerber ◽  
Torsten Reimer ◽  
Sandra Garcia ◽  
Mary Gill ◽  
Tobi Duncan ◽  
...  

e18215 Background: As evidenced by the NCI-ASCO Teams in Cancer Care Delivery initiative, there is growing interest in applying an emerging science of teams to oncology clinical care. Treatment of patients on cancer clinical trials requires coordination and cooperation among research and clinic teams. However, little empirical research has examined issues of goal alignment, diffusion of responsibility, and perceived rivalries in this setting. Methods: We developed a survey incorporating modified components of the Adapted Team Climate Inventory, the Measure of Team Identification, and the Measure of In-group Bias. Surveys were administered to research staff and clinic staff. Survey responses were analyzed using t tests and ANOVAs. Results: Responses were received from 104 staff (54 clinic, 50 research). Median duration of professional experience was 8.3 years, and median time in current position was 2.0 years. Research staff identified more strongly with their own group ( P< 0.01) but less strongly with the Cancer Center ( P= 0.02) compared to clinic staff. Both clinic and research staff viewed their own group’s goals as clearer than those of the other group ( P< 0.01). Both clinic staff and research staff felt that members of their groups shared information among themselves more than the other group ( P< 0.01). Research staff felt information sharing occurred to a greater extent in both groups than did clinic staff ( P< 0.01). Similar results were noted regarding information sharing with the other group ( Ps< 0.01). Staff indicated that members of their own groups interacted more often with each other than did members of the other group ( P< 0.01), with research staff perceiving higher interaction rates in both teams than clinic staff ( P< 0.01). Research staff perceived daily outcomes to be more important than did clinic staff ( P =0.05), in particular research-related outcomes ( P =0.07). Conclusions: Clinical research staff and clinic staff identify more strongly with their own groups and feel that their own group’s goals are clearer than those of the other group. Further study of interactions, perceptions, and attitudes between research staff and clinic staff is essential to provision of quality care to patients on cancer clinical trials.


2017 ◽  
Vol 13 (12) ◽  
pp. e1021-e1029 ◽  
Author(s):  
Torsten Reimer ◽  
Simon J. Craddock Lee ◽  
Sandra Garcia ◽  
Mary Gill ◽  
Tobi Duncan ◽  
...  

Purpose: Conduct of cancer clinical trials requires coordination and cooperation among research and clinic teams. Diffusion of and confusion about responsibility may occur if team members’ perceptions of roles and objectives do not align. These factors are critical to the success of cancer centers but are poorly studied. Methods: We developed a survey adapting components of the Adapted Team Climate Inventory, Measure of Team Identification, and Measure of In-Group Bias. Surveys were administered to research and clinic staff at a National Cancer Institute–designated comprehensive cancer center. Data were analyzed using descriptive statistics, t tests, and analyses of variance. Results: Responses were received from 105 staff (clinic, n = 55; research, n = 50; 61% response rate). Compared with clinic staff, research staff identified more strongly with their own group ( P < .01) but less strongly with the overall cancer center ( P = .02). Both clinic staff and research staff viewed their own group’s goals as clearer than those of the other group ( P < .01) and felt that members of their groups interacted and shared information within ( P < .01) and across ( P < .01) groups more than the other group did. Research staff perceived daily outcomes as more important than did clinic staff ( P = .05), specifically research-related outcomes ( P = .07). Conclusion: Although there are many similarities between clinic and research teams, we also identified key differences, including perceptions of goal clarity and sharing, understanding and alignment with cancer center goals, and importance of outcomes. Future studies should examine how variation in perceptions and group dynamics between clinic and research teams may impact function and processes of cancer care.


2021 ◽  
Vol 39 (28_suppl) ◽  
pp. 317-317
Author(s):  
Jhalak Dholakia ◽  
Maria Pisu ◽  
Warner King Huh ◽  
Margaret Irene Liang

317 Background: Although approximately half of patients with gynecologic malignancy experience financial hardship (FH) during treatment, best practices to identify and assist patients with FH are lacking. To develop such practices, we assessed oncology provider and staff perspectives about FH screening and provision of assistance. Methods: An anonymous survey was conducted electronically within the Gynecologic Oncology outpatient office at a Comprehensive Cancer Center. Potential barriers to patient FH screening and follow-up were assessed within 2 domains: 1) logistic barriers to incorporating FH screening and follow-up into outpatient workflow and 2) perceived patient barriers to FH screening. Responses were elicited on a 5-point Likert scale from ‘very’ to ‘not at all’ significant and dichotomized into significant and not significant barriers. Results: Of 43 providers approached, 37 responded (86% response rate) of which 14 were physicians (MD)/nurse practitioners (NP) and 23 were other staff members (i.e., clinical and research nurses, social workers, pharmacists, care coordinators, lay navigators, and financial counselors). Altogether, 38% worked in their current position for >5 years (n=14), 11% for 3-5 years (n=4), and 51% for <3 years (n=19). For logistic barriers to implementing FH screening and follow-up, the most frequently reported significant barriers included lack of personnel training (69%) and lack of available staff (62%), training regarding follow-up (72%), and case tracking infrastructure (67%). The most frequent significant perceived patient barriers were lack of knowledge of whom to contact (72%), concerns about impact on treatment if FH needs were identified (72%), and lack of patient readiness to discuss financial needs (62%.) Compared to MD/NP, staff members more often indicated the following as significant barriers: difficulty incorporating FH screening into initial visit workflow (31 % vs. 57%, p=0.03), overstretched personnel (29% vs 73%, p=0.005), and patient concerns about influence on treatment (62% vs 86%, p=0.01). Conclusions: Care team members identified barriers to patient FH screening across logistic and patient-centered domains, although MD/NP less so than other staff possibly reflecting different exposures to patient financial needs during clinical encounters or burden of workflow. Implementation of universal FH screening, dedicated personnel, convenient tracking mechanisms, and multi-disciplinary provider and staff training may improve recognition of patient FH and facilitate its integration into oncology care plans.


2007 ◽  
Vol 25 (18_suppl) ◽  
pp. 4079-4079 ◽  
Author(s):  
C. S. Denlinger ◽  
M. A. Collins ◽  
Y. Wong ◽  
S. Litwin ◽  
N. J. Meropol

4079 Background: New approaches have expanded options for patients (pts) with mCRC. To characterize current practice paradigms that might bear on clinical trial design, we analyzed decision-making and treatment patterns in pts treated at a Comprehensive Cancer Center since the introduction of cetuximab (CET), and bevacizumab (BV). Methods: A retrospective review of all pts diagnosed with mCRC between 3/1/04 and 8/28/06 treated at Fox Chase Cancer Center. Results: 160 pts were treated, with 157 pts receiving at least one therapy regimen by 10 attending oncologists. There were 350 changes in therapy with 246 (70%) including continuation of at least one prior drug (92 BV, 111 fluoropyrimidines, 43 other). The most common reasons for treatment change were toxicity (33%), progressive disease (PD) (29%), treatment breaks (15%), and metastasectomy (11%) ( Table ). PD was a more common cause for treatment discontinuation in later phases of treatment (18% initial regimen vs. 36% subsequent regimens, p=0.0002). 24% of pts treated with oxaliplatin (OX) discontinued due to neuropathy. Hypersensitivity caused discontinuation in 5% of pts with OX and 7% of pts with CET. Resection of metastases was undertaken in 38% of pts. 43% of these pts received neoadjuvant therapy, and 56% received adjuvant therapy. 30% of pts have died, 29% remain on active treatment, 28% are on a treatment break, 3% are on hospice, and 11% are lost to follow-up. Conclusions: PD is no longer the primary reason for change of therapy in pts with mCRC. Metastasectomy is common and OX neuropathy is often treatment-limiting. These findings have important implications for endpoint selection and design of clinical trials in mCRC. Future clinical trials in mCRC must recognize treatment complexities and capture key components of decision-making that may result in prolonged survival. Furthermore, treatment breaks represent a potential window for the evaluation of new drugs. [Table: see text] No significant financial relationships to disclose.


2013 ◽  
Vol 31 (15_suppl) ◽  
pp. e20633-e20633
Author(s):  
Erica Leigh Campagnaro ◽  
Seunghee Margevicius ◽  
Barbara J. Daly ◽  
Jennifer Rachel Eads ◽  
Tyler G. Kinzy ◽  
...  

e20633 Background: Cancer patient (pt) participation in clinical trials (CT) is low. Little is known about the beliefs and attitudes of health care workers (HCW) and how they impact intention to discuss CT with pts. The overall goal of this project was to develop a conceptual model to guide future interventions to enhance communication about CT between HCW and cancer pts. Methods: Two email surveys of non-physician HCW at an NCI-designated comprehensive cancer center were conducted. The first was sent to a random sample of 150 HCW. The second was sent to 80 who completed the first survey. Based on our prior work (Eads et al. ASCO 2011) and Ajzen’s Theory of Planned Behavior, domains of the first included CT knowledge (19 items, agree/disagree) and attitudes (27 items, 5-point Likert); the second included normative beliefs about institutional attitudes toward CT (6 items, 5-point Likert), self-efficacy about engaging in discussion about CT (14 items, 5-point Likert), and intention to discuss CT with pts (4 items, 7-point Likert). Results: 41 HCW completed both anonymous surveys; 27 could be matched by demographics. Median age of matched respondents was 44.3 yrs (range 24-63), 26 female, 22 caucasian, 9 nurses. Overall, CT knowledge was high (median 17/19 items correct). There were strong associations between attitudes and self-efficacy (Spearman r=-0.425, p=0.03), as well as perceived normative beliefs and self-efficacy (r=0.651, p=0.0002). These associations were strong amongst nurses (r=-0.818, p=0.007 and r=0.656, p=0.05, respectively), with a particularly strong correlation between self-efficacy and intention to discuss clinical trials with pts (r=0.891, p=0.001). Conclusions: In spite of a small sample size, these pilot data strongly support a behavioral framework to understand and address the impact of HCW attitudes and beliefs about CT on discussions of CT with pts. Insofar as HCW (especially nurses) have substantial pt contact, and serve as a resource for pts regarding treatment decisions, educational interventions to address HCW barriers to discussing CT with pts (i.e. attitudes, beliefs, and self-efficacy) could positively impact pt attitudes and improve decision making.


2006 ◽  
Vol 24 (28) ◽  
pp. 4545-4552 ◽  
Author(s):  
David M. Dilts ◽  
Alan B. Sandler

Purpose To investigate the administrative barriers that impact the opening of clinical trials at the Vanderbilt-Ingram Cancer Center (VICC) and at VICC Affiliate Network (VICCAN) sites. Methods VICC, a National Cancer Institute–designated comprehensive cancer center, and three VICCAN community practice sites were studied. Methodology used was identification and mapping of existing processes and analysis of historical timing data. Results At course granularity, the process steps required at VICC and VICCAN main office plus local sites are 20 v 17 to 30 steps, respectively; this gap widens with finer granularity, with more than 110 v less than 60 steps, respectively. Approximately 50% of the steps are nonvalue added. For example, in the institutional review board (IRB) process, less than one third of the steps add value to the final protocol. The numbers of groups involved in the approval processes are 27 (VICC) and 6 to 14 (VICCAN home office and local sites). The median times to open a trial are 171 days (95% CI, 158 to 182 days) for VICC and 191 days (95% CI, 119 to 269 days) for the VICCAN sites. Contrary to expectations, the time for IRB review and approval (median, 47 days) is the fastest process compared with the scientific review committee review and approval (median, 70 days) and contracts and grants review (median, 78.5 days). Opening a cooperative group clinical trial is significantly (P = .05) more rapid because they require fewer review steps. Conclusion There are numerous opportunities to remove nonvalue-added steps and save time in opening clinical trials. With increasing numbers of new agents, fewer domestic principal investigators, and more companies off-shoring clinical trials, overcoming such barriers is of critical importance for maintenance of core oncology research capabilities in the United States.


2018 ◽  
Author(s):  
Katja Reuter ◽  
Praveen Angyan ◽  
NamQuyen Le ◽  
Alicia MacLennan ◽  
Sarah Cole ◽  
...  

BACKGROUND Insufficient recruitment of participants remains a critical roadblock to successful clinical research, in particular clinical trials. Social media (SM) provides new ways for connecting potential participants with research opportunities. Researchers suggested that the social network Twitter may serve as a rich avenue for exploring how patients communicate about their health issues and increasing enrollment in cancer clinical trials. However, there is a lack of evidence that Twitter offers practical utility and impact. OBJECTIVE The objective of this pilot study is to examine the feasibility and impact of using Twitter monitoring data (i.e., user activity and their conversations about cancer-related conditions and concerns expressed by Twitter users in LA County) as a tool for enhancing clinical trial recruitment at a comprehensive cancer center. METHODS We will conduct a mixed-methods interrupted time series study design with a before and after SM recruitment intervention. Based on a preliminary analysis of eligible trials, we plan to onboard at least 84 clinical trials across six disease categories: breast cancer, colon cancer, kidney cancer, lymphoma, non-small cell lung cancer, and prostate cancer that are open to accrual at the USC Norris Comprehensive Cancer Center (USC Norris). We will monitor messages about the six cancer conditions posted by Twitter users in LA County. Recruitment for the trials will occur through the Twitter account (@USCTrials). Primary study outcomes include, first, feasibility and acceptance of the social media intervention among targeted Twitter users and the study teams of the onboarded trials, which will be assessed using qualitative interviews and 4-point Likert scale, and calculating the proportion of targeted Twitter users who engaged with outreach messages. Second, impact of the social media intervention will be measured by calculating the proportion of people who enrolled in trials. The enrollment rate will be compared between the active intervention period and the prior 10 months as historical control for each disease trial group. RESULTS This study has been funded by the National Center for Advancing Translational Science (NCATS) through a Clinical and Translational Science Award (CTSA) award. Study approval was obtained from the Clinical Investigations Committee (CIC) at USC Norris and the Institutional Review Board (IRB) at USC. Recruitment on Twitter started in February 2018. Data collection will be completed in November 2018. CONCLUSIONS This pilot project will provide preliminary data and practical insight into the application of publicly available Twitter data to identify and recruit clinical trial participants center across six cancer disease types. We will shed light on the acceptance of the SM intervention among Twitter users and study team members of the onboarded trials. If successful, the findings will inform a multisite, randomized controlled trial to determine the efficacy of the social media intervention across different locations and populations.


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