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.

Treatment Decision Making in Patients with Bladder Cancer.

Background: Each stage of bladder cancer involves varying treatment issues and concerns that are discussed between patients and providers during the pre-treatment consultation. There is no documentation of how patients engage in decision making. Objective: To describe aspects of treatment decision making perceived by patients with bladder cancer using qualitative analysis of data from individual interviews. Methods: Patients with any stage bladder cancer were recruited from urology and medical oncology services at a comprehensive cancer center. A qualitative approach to data collection and analysis was applied. Individual, semi-structured interviews were conducted, recorded and transcribed. Coding of the transcripts was conducted by research team members, discussed for consensus and major themes derived. Results: 45 men and 15 women, the majority college educated, were recruited. Where to receive care, including from whom, was the initial and major decision. Challenges of decisions regarding urinary reconstruction were dominant. Personal characteristics, including age and being active, were considered. Participants with early stage tumors (n = 28) typically perceived only one treatment option and followed the physician's recommendation. The 18 participants with stage II-III were aware of multiple options. In 14 stage IV participants, balancing quality of life and outcomes between treatments was common to the decision process. Conclusions: For this educated sample with bladder cancer, recruited at a comprehensive cancer center, the major decision was to seek treatment at a location with the highest level of physician expertise. Personal preferences informed decisions surrounding bladder reconstruction. Further research will be conducted in a diverse sample of patients making decisions in a non-urban, community setting.

Enhancing patient-provider communication with the electronic self-report assessment for cancer: a randomized trial.

PURPOSE: Although patient-reported cancer symptoms and quality-of-life issues (SQLIs) have been promoted as essential to a comprehensive assessment, efficient and efficacious methods have not been widely tested in clinical settings. The purpose of this trial was to determine the effect of the Electronic Self-Report Assessment-Cancer (ESRA-C) on the likelihood of SQLIs discussed between clinicians and patients with cancer in ambulatory clinic visits. Secondary objectives included comparison of visit duration between groups and usefulness of the ESRA-C as reported by clinicians. PATIENTS AND METHODS: This randomized controlled trial was conducted in 660 patients with various cancer diagnoses and stages at two institutions of a comprehensive cancer center. Patient-reported SQLIs were automatically displayed on a graphical summary and provided to the clinical team before an on-treatment visit (n = 327); in the control group, no summary was provided (n = 333). SQLIs were scored for level of severity or distress. One on-treatment clinic visit was audio recorded for each participant and then scored for discussion of each SQLI. We hypothesized that problematic SQLIs would be discussed more often when the intervention was delivered to the clinicians. RESULTS: The likelihood of SQLIs being discussed differed by randomized group and depended on whether an SQLI was first reported as problematic (P = .032). Clinic visits were similar with regard to duration between groups, and clinicians reported the summary as useful. CONCLUSION: The ESRA-C is the first electronic self-report application to increase discussion of SQLIs in a US randomized clinical trial.