Oncology clinical trials and insurance coverage: An update in a tenuous insurance landscape

Peer Reviewedhttps://deepblue.lib.umich.edu/bitstream/2027.42/151873/1/cncr32360_am.pdfhttps://deepblue.lib.umich.edu/bitstream/2027.42/151873/2/cncr32360.pd

Establishing survivorship care planning in a comprehensive cancer center to meet clinic needs and accreditation standards

59 Background: Standard 3.3 of the American College of Surgeons Commission on Cancer (CoC) patient-centered care guidelines requires that accredited institutions deliver SCPs to all patients completing cancer treatment with curative intent (10% of eligible patients in 2015 and increasing incrementally to 100% in 2019). Implementation of SCP delivery has been challenging and limited to date. We describe our implementation process at the Robert H. Lurie Comprehensive Cancer Center. Methods: We established a multidisciplinary working group that developed and administered a survey of providers’ attitudes towards SCPs and preferences for delivery, assessed clinical workflows, then developed and vetted customized SCP templates within the electronic health record (EHR) and two complimentary SCP delivery models. Results: Twelve providers completed the survey (6 physicians, 5 advanced practice providers [APPs], 1 nurse). 67% viewed SCPs as feasible within workflows, 75% felt designated survivorship clinicians were best equipped to deliver SCPs; All reported SCPs were beneficial to patients; and 92% felt SCPs were beneficial to inter-provider communication. Cited barriers were: time and staff required and non-optimal billing. To harmonize with existing workflows, we established two delivery models: (1) clinical groups with a low volume of survivors relative to available nursing staff complete and deliver SCPs themselves; (2) clinical groups with high volumes of survivors relative to available nursing staff refer patients to a centralized survivorship clinic where SCPs are delivered by designated survivorship APPs. All elements of the ASCO templates were incorporated into our EHR templates. We reduced free-text data entry by designing templates where 20% of the fields are auto-populated from existing EHR data and another 65% use drop-down menus. Mean completion time is 12 minutes (range 10-30 minutes; n= 30). Conclusions: CoC-accredited institutions across the nation are working to meet Standard 3.3. We present our experiences developing and implementing SCP delivery models, including lessons learned to inform models of survivorship care under development at other institutions

Adverse COVID-19 experiences and health-related quality of life in cancer survivors: indirect effects of COVID-19-related depression and financial burden

We conducted an online survey of cancer survivors receiving treatment at Northwestern Medicine in Chicago, Illinois. Participants responded to a list of 21 adverse experiences related to the pandemic, such as COVID-19 hospitalization, death of family/friends, loss of income, and medical delays. They also responded to questionnaires measuring their degree of anxiety, depression, daily disruptions, health disruptions, financial disruptions, social support, perceived benefits, and ability to manage stress during the pandemic. Lastly, they responded to a questionnaire on health-related quality of life, capturing their physical symptoms, emotional symptoms, and satisfaction with life. Our survey found that people who had a greater number of adverse COVID-19 experiences had higher levels of depression and financial burden, which in turn was associated with worse health-related quality of life

Survivorship care planning in a comprehensive cancer center using an implementation framework

Cancer survivorship care plans (SCPs) have been recommended to improve clinical care and patient outcomes. Research is needed to establish their efficacy and identify best practices. Starting in 2015, centers accredited by the American College of Surgeons Commission on Cancer must deliver SCPs to patients completing primary cancer treatment with curative intent. We describe how we established routine SCP delivery at the Robert H Lurie Comprehensive Cancer Center in Chicago, Illinois, using the Quality Implementation Framework. We evaluated local practices, gathered clinician and patient stakeholder input, developed customized SCP templates within the electronic health record (EHR), and implemented 2 complementary delivery models. Clinician interviews (n = 41) and survey responses (n = 12), along with input from patients (n = 68) and a patient advisory board (n = 15), indicated support for SCPs and survivorship services. To promote feasible implementation and leverage existing workflows, we harmonized 2 SCP delivery models: integrated care within clinics where patients received treatment, and referral to a centralized survivorship clinic. We are implementing SCP delivery with prominent disease sites and will extend services to survivors of other cancers in the future. We developed four electronic disease-specific SCP templates for breast, colorectal, lung, and prostate cancers and a fifth, generic template that can be used for other malignancies. The templates reduced free-text clinician entry by auto-populating 20% of the fields from existing EHR data, and using drop-down menus for another 65%. Mean SCP completion time is 12 minutes (range, 10-15; n = 64). We designed our framework to facilitate ongoing evaluation of implementation and quality improvement. Funding/sponsorship Robert H Lurie Comprehensive Cancer Center, the Coleman Foundation, and the Lynn Sage Cancer Research Foundation

An effectiveness-implementation hybrid trial for informatics-based cancer symptom management

236 Background: Oncology outpatients can facesignificant cancer- and treatment-related symptoms that compromise health related quality of life and quality health care. Although the burden of symptoms on patients’ lives are well-known, most health care systems are not ideally set up to relieve them. Patients are not typically drawn into meaningful engagement with the health care team in ways that enable symptom self-management. As a result, opportunities for early identification and treatment are lost, causing avoidable human suffering and cost. The Northwestern University IMPACT (NU IMPACT) project aims to evaluate the effectiveness and implementation of an informatics-driven symptom monitoring and web-based self-management intervention. The project uses PROMIS measures, integrated into the EHR, to trigger response and intervention. This presentation describes the effectiveness-implementation hybrid trial design and measurement of implementation. Methods: NU IMPACT will test the effectiveness and implementation of a system-wide symptom management intervention, across six adult hematology/oncology and gynecologic oncology outpatient clinics at Northwestern Memorial HealthCare, using a cluster randomized pragmatic roll-out implementation trial with an embedded individual-level randomized clinical trial. This unique design allows for a fully-powered randomized trial to establish the efficacy of the intervention, as well as a randomized test of implementation. We are enrolling approximately 6,000 patients in pre-implementation and 6,000 in post-implementation, with half of the latter group randomly assigned to enhanced symptom management, and the other half to usual care. Results: Implementation process is guided by the Exploration, Preparation, Implementation, and Sustainment (EPIS) model with evaluation following the RE-AIM framework. Particular focus is paid to adoption at the clinic and provider levels, the extent to which the intervention achieves meaningful reach to cancer patients, and the potential for sustainment. Additionally, we are testing and validating a newly developed method for tracking and reporting dynamic changes to implementation strategies. Conclusions: Achieving the aims of the NU IMPACT project is a critical step in the advancement of informatics-driven symptom management interventions for cancer patients. The innovative implementation trial design and measurement approach will aid in the rapid translation of findings to other healthcare systems. Clinical trial information: NCT03988543