Mending Disconnects in Cancer Care: Setting an Agenda for Research, Practice, and Policy

A qualitative analysis of algorithm-based decision support usability testing for symptom management across the trajectory of cancer care: one size does not fit all

BACKGROUND

Adults with cancer experience symptoms that change across the disease trajectory. Due to the distress and cost associated with uncontrolled symptoms, improving symptom management is an important component of quality cancer care. Clinical decision support (CDS) is a promising strategy to integrate clinical practice guideline (CPG)-based symptom management recommendations at the point of care.

METHODS

The objectives of this project were to develop and evaluate the usability of two symptom management algorithms (constipation and fatigue) across the trajectory of cancer care in patients with active disease treated in comprehensive or community cancer care settings to surveillance of cancer survivors in primary care practices. A modified ADAPTE process was used to develop algorithms based on national CPGs. Usability testing involved semi-structured interviews with clinicians from varied care settings, including comprehensive and community cancer centers, and primary care. The transcripts were analyzed with MAXQDA using Braun and Clarke's thematic analysis method. A cross tabs analysis was also performed to assess the prevalence of themes and subthemes by cancer care setting.

RESULTS

A total of 17 clinicians (physicians, nurse practitioners, and physician assistants) were interviewed for usability testing. Three main themes emerged: (1) Algorithms as useful, (2) Symptom management differences, and (3) Different target end-users. The cross-tabs analysis demonstrated differences among care trajectories and settings that originated in the Symptom management differences theme. The sub-themes of "Differences between diseases" and "Differences between care trajectories" originated from participants working in a comprehensive cancer center, which tends to be disease-specific locations for patients on active treatment. Meanwhile, participants from primary care identified the sub-theme of "Differences in settings," indicating that symptom management strategies are care setting specific.

CONCLUSIONS

While CDS can help promote evidence-based symptom management, systems providing care recommendations need to be specifically developed to fit patient characteristics and clinical context. Findings suggest that one set of algorithms will not be applicable throughout the entire cancer trajectory. Unique CDS for symptom management will be needed for patients who are cancer survivors being followed in primary care settings.

A Learning Health System Approach to Cancer Survivorship Care Among LGBTQ+ Communities

PURPOSE

Lesbian, gay, bisexual, transgender, and queer (LGBTQ+) individuals who receive primary care services at community health centers are often referred to external specialty care centers after cancer diagnosis, upon which primary care services are disrupted and may be discontinued because of gaps in communication between primary and oncologic care providers. This qualitative study evaluated barriers and facilitators to effective care coordination for LGBTQ+ patients with cancer and the utility of a novel cancer care coordination tool to mitigate identified barriers.

MATERIALS AND METHODS

Semistructured interviews with LGBTQ+ cancer survivors, caregivers to LGBTQ+ persons, clinical team members who provide care to LGBTQ+ patients, and members of community-based organizations that work with LGBTQ+ patients were conducted. Interview analysis was a multistage process, wherein a constant comparison approach was used. Transcripts were reviewed and coded using Atlas.ti Cloud.

RESULTS

A total of 26 individuals were interviewed: 10 patients, four caregivers, 10 clinical care team members, and two community organization representatives. Interview analysis yielded insight regarding (1) LGBTQ+ patient experiences engaging with primary and oncologic care at the clinic level and (2) perceptions of patient-provider and provider-provider communication and coordination.

CONCLUSION

Interview findings indicate a need for further development of interventions aimed at improving care coordination, patient experience, and outcomes in the cancer care continuum for LGBTQ+ patients. Learning health systems, like the one studied, show great potential for contributing to the development of such interventions.

Designing a Framework for Remote Cancer Care Through Community Co-design: Participatory Development Study

BACKGROUND

Recent shifts to telemedicine and remote patient monitoring demonstrate the potential for new technology to transform health systems; yet, methods to design for inclusion and resilience are lacking.

OBJECTIVE

The aim of this study is to design and implement a participatory framework to produce effective health care solutions through co-design with diverse stakeholders.

METHODS

We developed a design framework to cocreate solutions to locally prioritized health and communication problems focused on cancer care. The framework is premised on the framing and discovery of problems through community engagement and lead-user innovation with the hypothesis that diversity and inclusion in the co-design process generate more innovative and resilient solutions. Discovery, design, and development were implemented through structured phases with design studios at various locations in urban and rural Kentucky, including Appalachia, each building from prior work. In the final design studio, working prototypes were developed and tested. Outputs were assessed using the System Usability Scale as well as semistructured user feedback.

RESULTS

We co-designed, developed, and tested a mobile app (myPath) and service model for distress surveillance and cancer care coordination following the LAUNCH (Linking and Amplifying User-Centered Networks through Connected Health) framework. The problem of awareness, navigation, and communication through cancer care was selected by the community after framing areas for opportunity based on significant geographic disparities in cancer and health burden resource and broadband access. The codeveloped digital myPath app showed the highest perceived combined usability (mean 81.9, SD 15.2) compared with the current gold standard of distress management for patients with cancer, the paper-based National Comprehensive Cancer Network Distress Thermometer (mean 74.2, SD 15.8). Testing of the System Usability Scale subscales showed that the myPath app had significantly better usability than the paper Distress Thermometer (t63=2.611; P=.01), whereas learnability did not differ between the instruments (t63=-0.311; P=.76). Notable differences by patient and provider scoring and feedback were found.

CONCLUSIONS

Participatory problem definition and community-based co-design, design-with methods, may produce more acceptable and effective solutions than traditional design-for approaches.

Opportunities to use electronic health record audit logs to improve cancer care

The rapid adoption of electronic health records (EHRs) has created extensive repositories of digitized data that can be used to inform improvements in care delivery, processes, and patient outcomes. While the clinical data captured in EHRs are widely used for such efforts, EHRs also capture audit log data that reflect how users interact with the EHR to deliver care. Automatically collected audit log data provide a unique opportunity for new insights into EHR user behavior and decision‐making processes. Here, we provide an overview of audit log data and examples that could be used to improve oncology care and outcomes in four domains: diagnostic reasoning and consumption, care team collaboration and communication, patient outcomes and experience, and provider burnout/fatigue. This data source could identify gaps in performance and care, physician uptake of EHR features that enhance decision‐making, and integration of data trends for oncology. Ensuring researchers and oncologists are familiar with the data's potential and developing the data engineering capacity to utilize this rich data source, will expand the breadth of research to improve cancer care.

Emerging digital technologies in cancer treatment, prevention, and control

The very first issue of the journal of Translational Behavioral Medicine (TBM) was dedicated, in part, to the theme of Health Information Technology as a platform for evidence implementation. The topic was timely: legislation in the USA was passed with the intent of stimulating the adoption of electronic health records; mobile smartphones, tablets, and other devices were gaining traction in the consumer market, while members within the Society of Behavioral Medicine were gaining scientific understanding on how to use these tools to effect healthy behavior change. For the anniversary issue of TBM, we evaluated the progress and problems associated with deploying digital health technologies to support cancer treatment, prevention, and control over the last decade. We conducted a narrative review of published literature to identify the role that emerging digital technologies may take in achieving national and international objectives in the decade to come. We tracked our evaluation of the literature across three phases in the cancer control continuum: (a) prevention, (b) early detection/screening, and (c) treatment/survivorship. From our targeted review and analyses, we noted that significant progress had been made in the adoption of digital health technologies in the cancer space over the past decade but that significant work remains to be done to integrate these technologies effectively into the cancer control systems needed to improve outcomes equitably across populations. The challenge for the next 10 years is inherently translational.

Cancer prevention, risk reduction, and control: opportunities for the next decade of health care delivery research

In this commentary, we discuss opportunities to optimize cancer care delivery in the next decade building from evidence and advancements in the conceptualization and implementation of multi-level translational behavioral interventions. We summarize critical issues and discoveries describing new directions for translational behavioral research in the coming decade based on the promise of the accelerated application of this evidence within learning health systems. To illustrate these advances, we discuss cancer prevention, risk reduction (particularly precision prevention and early detection), and cancer treatment and survivorship (particularly risk- and need-stratified comprehensive care) and propose opportunities to equitably improve outcomes while addressing clinician shortages and cross-system coordination. We also discuss the impacts of COVID-19 and potential advances of scientific knowledge in the context of existing evidence, the need for adaptation, and potential areas of innovation to meet the needs of converging crises (e.g., fragmented care, workforce shortages, ongoing pandemic) in cancer health care delivery. Finally, we discuss new areas for exploration by applying key lessons gleaned from implementation efforts guided by advances in behavioral health.

Psychometric Characteristics and Validity of the PROMIS Cancer Function Brief 3D Profile

OBJECTIVE

To develop an item response theory (IRT)-calibrated, patient-reported outcome measure (the PROMIS Cancer Function Brief 3D Profile) of physical function, including associations with fatigue and social participation, in cancer rehabilitation patients.

DESIGN

Large-scale field testing, graded response model IRT analyses, and multivariate regression analysis.

SETTING

Six cancer rehabilitation clinics associated with cancer centers across the United States.

PARTICIPANTS

Adults (N=616) treated in outpatient cancer rehabilitation medicine clinics.

INTERVENTION

Not applicable.

MAIN OUTCOME MEASURES

The PROMIS(r) Cancer Function 3D Profile (including existing items from PROMIS(r) item banks).

RESULTS

A total of 616 patients completed 21 items in the initial item pool. Nine items were removed because of comparatively lower information that they provide according to the IRT item calibrations, low item-total correlations, or bimodal distributions. The remaining items generated a 12-item short form. Regression analyses determined that the items were responsive to and representative of the patient population across trait ranges and multiple domains and subdomains of function.

CONCLUSIONS

This psychometric investigation supports the use of the PROMIS Cancer Function Brief 3D Profile for evaluating function in outpatient cancer rehabilitation patients.

The Cancer Rehabilitation Medicine Metrics Consortium: A Path to Enhanced, Multi-Site Outcome Assessment to Enhance Care and Demonstrate Value

Purpose

A primary objective stated at the Cancer Rehabilitation Symposium at the National Institutes of Health was to improve outcome measurement. The purpose of this project was for the Cancer Rehabilitation Medicine Metrics Consortium (CRMMC) to develop an assessment tool to evaluate function in cancer patients via a data-driven and methodologically sound process. There is no agreed-upon measure of physical and cognitive function for cancer patients, making it difficult to demonstrate the value of rehabilitation interventions. Cancer patients are a particularly challenging population, with many tumor- and treatment-related variables impacting function.

Methods

Investigators from nine different cancer rehabilitation programs participated in a modified-Delphi process to delineate necessary aspects of an ideal patient assessment tool, including instrument type, domains evaluated, applicability across a range of patient traits, clinical feasibility, and item response characteristics. This involved numerous meetings, data review, and analysis of items involved in patient assessment.

Results

The CRMMC developed a 21-item patient-reported outcome measure based on item response theory. The process by which the short form was developed was documented and provides a framework for other clinicians to follow.

Conclusion

This document provides a framework for rehabilitation providers to follow when developing an assessment tool. This process is described in a stepwise fashion for reproducibility even in different, non-cancer populations.

Riding the Wave of Digital Transformation in Behavioral Medicine

BACKGROUND

Digital technologies provide a platform for accelerating science and broadening impact in behavioral medicine.

PURPOSE

The objective of this invited keynote presentation or paper is to offer a blueprint for navigating the rapidly changing waters of digital health.

METHODS

A strategic literature review on digital health technologies in behavioral medicine was combined with a review of relevant policy initiatives to yield insights on: (a) knowledge building, (b) collaboration, and (c) public health stewardship.

RESULTS

Digital platforms offer unprecedented leverage for accelerating science, facilitating collaboration, and advancing public health. Early successes in behavioral medicine demonstrated how digital platforms could extend the reach of theory-based behavioral therapeutics through increases in efficiency and scale. As medical investments in health information technology increased, the field of behavioral informatics emerged as the collaborative glue binding behavioral theory into a new generation of patient-facing applications, clinical decision support tools, evidence-based communication programs, and population health management strategies. As a leader within the interstitial space between medicine, psychology, and engineering, the Society of Behavioral Medicine is in a distinct position to exert influence on the ways in which our science is utilized to eliminate health disparities; improve support for patients, caregivers, and communities; to promote general health and well-being; and to offer relief when confronted with psychological pain or addiction.

CONCLUSION

Riding the wave of digital transformation has less to do with mastering the complexities of the latest technologies and more to do with adhering closely to established principles for navigating a rapidly changing information environment.

Clinical Trial Metrics: The Complexity of Conducting Clinical Trials in North American Cancer Centers

Cancer clinical trials offices (CTOs) support the investigation of cancer prevention, early detection, and treatment at cancer centers across North America. CTOs are a centralized resource for clinical trial conduct and typically use research staff with expertise in four functional areas of clinical research: finance, regulatory, clinical, and data operations. To our knowledge, there are no publicly available benchmark data sets that characterize the size, cost, volume, and efficiency of these offices, nor whether the metrics differ by National Cancer Institute (NCI) designation. The Association of American Cancer Institutes (AACI) Clinical Research Innovation (CRI) steering committee developed a survey to address this knowledge gap.