Development of the Oncology Opportunity Cost Assessment Tool: Item Generation and Content Validity Testing.

PURPOSE: The purpose of this study was to develop the Oncology Opportunity Cost Assessment Tool (OOCAT), a survey instrument to evaluate the opportunity costs patients experience when seeking medical oncology care. METHODS: Development of the OOCAT involved extensive patient engagement through both focus groups and interviews. First, the study team developed a list of opportunity cost concepts, which included patients' logistical and financial considerations related to seeking care. We conducted focus groups with patients to expand upon this list of concepts, and then developed a set of questions that incorporated all the concepts generated during the focus groups. To refine these questions, we next performed cognitive interviews with another set of patients to ensure content validity and clarity of instrument items, refining the OOCAT iteratively on the basis of feedback. RESULTS: We engaged 23 participants (17 patients and six caregivers) across four focus groups and 17 participants in cognitive interviews. Focus group participants generated 112 concepts, which resulted in an initial OOCAT with 16 questions. Cognitive interviews resulted in modification of 12 questions and addition of two questions (related to coordination of transportation and impact on home responsibilities). The final OOCAT consisted of 18 items examining time requirements for appointments, financial implications of traveling to appointments for the patient and the caregiver, and logistical and quality-of-life challenges associated with traveling for appointments. CONCLUSION: We developed the OOCAT, an instrument designed to evaluate patient-level opportunity costs of seeking medical oncology care. Further studies to validate the OOCAT are underway.

COVID-19 Pandemic Influence on Medical Oncology Provider Perceptions of Telehealth Video Visits.

PURPOSE: The COVID-19 pandemic necessitated a rapid expansion of telehealth use in oncology, a specialty in which prior utilization was low in part because of barriers perceived by providers. Understanding the changing perceptions of medical oncology providers during the pandemic is critical for continued expansion and improvement of telehealth in cancer care. This study was designed to identify medical oncology providers' perceptions of telehealth video visits as influenced by the COVID-19 pandemic. METHODS: We conducted semi-structured interviews with medical oncology providers from November 20, 2020, to January 27, 2021, at the Sidney Kimmel Cancer Center at Thomas Jefferson University, a National Cancer Institute-designated cancer center in an urban, academic health system in Philadelphia, PA. We assessed provider perceptions of the impact of the COVID-19 pandemic on (1) provider-level comfort and willingness for telehealth, (2) provider-perceived patient comfort and willingness to engage in telehealth, and (3) continued barriers to successful telehealth use. RESULTS: Volunteer and convenience sampling resulted in the participation of 25 medical oncology providers, including 18 physicians and seven advanced practice providers, in semi-structured interviews. Of the 25 participants, 13 (52%) were female and 19 (76%) were White, with an average age of 48.5 years (standard deviation = 12.6). Respondents largely stated an increased comfort level and willingness for use of video visits. In addition, respondents perceived a positive change in patient comfort and willingness, mostly driven by convenience, accessibility, and reduced risk of COVID-19 exposure. However, several reported technologic issues and limited physical examination capability as remaining barriers to telehealth adoption. CONCLUSION: The rapid adoption of telehealth necessitated by the COVID-19 pandemic has increased provider-level and provider-perceived patient comfort and willingness to engage in video visits for cancer care. As both providers and patients increasingly accept telehealth across many use cases, future work should focus on further addressing technology and physical examination barriers and ensuring continued reimbursement for telehealth as a routine part of covered care.

Patient Markers of Successful Diabetes Management.

PURPOSE: For individuals with diabetes, diabetes health status may not align with A1C targets. Patients may use nonclinical targets when assessing their diabetes management success. Identifying these targets is important in developing patient-centered management plans. The purpose of this study was to identify patient markers of successful diabetes management among patients in an urban academic health system. METHODS: A secondary analysis of semistructured interviews was completed with 89 adults with type 1 or type 2 diabetes. Participants had a recent diabetes-related emergency department (ED) visits or hospitalization or were primary care patients with an A1C >7.5%. Interviews were conducted to saturation. Demographic data were collected via self-report and electronic medical records. Interviews were analyzed using conventional content analysis. This analysis focused on patient perceptions of successful management coded to "measuring management success." RESULTS: Although most participants cited A1C or blood glucose as a marker of successful diabetes management, they had varied understanding of these metrics. Most used a combination of targets from the following categories: 1) A1C, blood glucose, and numbers; 2) engagement in medical care; 3) taking medication and medication types; 4) symptoms; 5) diet, exercise, and weight; and 6) stress management and social support. CONCLUSION: Individuals not meeting glycemic goals and/or with recent diabetes-related ED visits or hospitalizations had varied understanding of A1C and blood glucose targets. They use multiple additional markers of successful management and had a desire for management discussions that incorporate these markers. These measures should be incorporated into their care plans along with clinical targets.

Medical Oncology Patient Perceptions of Telehealth Video Visits.

PURPOSE: Telehealth in medical oncology has expanded secondary to the COVID-19 pandemic. However, quantitative research on medical oncology telehealth use shows conflicting results on patient satisfaction, whereas qualitative data are sparse. Our qualitative study aimed to identify the factors influencing patient acceptability of video visits for medical oncology care before and at the onset of the expansion of telehealth because of the COVID-19 pandemic. METHODS: Semi-structured interviews were conducted between November 2019 and April 2020 with 20 patients who participated in a telehealth visit with a medical oncology provider at Thomas Jefferson University. RESULTS: Of the 20 participants, 13 (65%) were female and 15 (75%) were White, with a mean (standard deviation) age of 60.5 years (11.8). Patients identified convenience, anxiety, COVID-19, and provider preference as positively influencing the acceptability of video visits; however, some patients noted limitations in provider connection, physical examinations, and visit length as disadvantages. Regarding receipt of serious or bad news, some preferred video visits for privacy, immediacy of results, news processing, and family comfort. Others preferred in-person encounters for provider support and the ability to receive written information and in-person referrals. CONCLUSION: Patient-perceived factors influencing general acceptability, appropriateness of serious and bad news delivery, and future uses of telehealth were unique to each individual, but shared common themes. Understanding each patient's perspective of telehealth acceptability and tailoring use to their preferences is critical for continued utilization. Further research is needed to understand and address reasons for lack of telehealth uptake among certain patients.

Patient Uncertainty as a Predictor of 30-day Return Emergency Department Visits: An Observational Study.

OBJECTIVE: The objective was to examine the relationship between patient uncertainty at the time of emergency department (ED) discharge as measured by the "Uncertainty Scale" (U-Scale) and 30-day return ED visits. We hypothesized that a higher score on the U-Scale predicts a higher likelihood of a 30-day return ED visit. METHODS: This was a cross-sectional single-site pilot study performed with adult patients discharged from an urban academic ED to assess the relationship of U-Scale total and subscale scores with 30-day return ED visits. We collected demographic and U-Scale scores at the time of ED discharge and subsequent 30-day ED utilization data by follow-up telephone call. RESULTS: No association was found between the total U-Scale score and subsequent ED utilization. Patients with higher uncertainty on the Treatment Quality subscale of the U-Scale had higher odds of a 30-day return ED visit (adjusted odds ratio [AOR] = 1.16), while patients with lower uncertainty on the Decision to Seek Care subscale had higher odds of a 30-day return ED visit (AOR = 0.68). CONCLUSION: Patient uncertainty as measured by the U-Scale total score was not predictive of subsequent ED utilization. However, uncertainty related to treatment quality and the decision to seek care as measured by the U-Scale subscales may be important in predicting repeat ED utilization. Unlike individual patient factors such as age and race that have been associated with frequent ED visits in prior studies, these domains of uncertainty are potentially modifiable. Providers and health systems may successfully prevent recurrent acute care encounters through implementation of interventions designed to address patient uncertainty. Further work is needed to refine the U-Scale and test its predictive utility among a larger patient cohort.