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Bennett, Antonia V

0000-0002-8968-4511

A5045265283 | I114027177

Mayo Clinic

University of North Carolina at Chapel Hill

Citations 24

Assessing financial difficulty in patients with multiple myeloma: Preliminary results of ALLIANCE A231602CD.

Journal of Clinical Oncology | June 2, 2021 | Volume: 39 | Issue: 15_suppl | Pages: 8031-8031

10.1200/jco.2021.39.15_suppl.8031

8031 Background: New orally administered anticancer treatments have launched in recent years, promising gains in survival and quality of life, but with high prices.Financial difficulties encountered over the course of cancer diagnosis and treatment is a growing concern. These difficulties include inability to pay for basic necessities, presence of medical debt, and high out of pocket burdens relative to income. The primary objective of this study was to estimate the proportion of patients with multiple myeloma (MM) who experience financial difficulties in the past 12 months.Methods: Data collection entailed a comprehensive, theoretically grounded telephone survey and companion medical chart abstraction. Subjects included individuals with a current diagnosis of MM whose current or recent treatment included pharmaceutical-based care and who were not enrolled in a treatment-based trial. Practices eligible to recruit respondents included 44 NCORP affiliates of the Alliance. 14 geographically diverse NCORP affiliates participated between 11/2019 and 6/2020. The primary endpoint of the study was the proportion of subjects who reported financial difficulty in the past 12 months, as measured by the EORTC QLQ-C30 item #28. This proportion and 95% Wilson score confidence interval were estimated for all MM patients who responded to the financial difficulty question ((# reported financial difficulty)/(total # in that category who answered the question)). NCI Central IRB approved this study. Results: 393 subjects were recruited. 304 subjects completed the survey (77.4% response rate). Mean age was 67.5 years (SD 9.8), 143 (46.4%) were female, 24 (7.8%) self-reported race as ‘Black or African American’, 82 (26.6%) reported insured by government insurance Medicare only, 116 (38.2%) reported highest education as high school or below, and 94 (30.5%) reported high income. Mean time from diagnosis to survey enrollment was 3.6 years (SD 4.5). 292 (95.1%) were currently receiving treatment and 192 (62.5%) reported currently receiving a pre-defined ‘expensive’ oral pharmaceutical-based cancer treatment. 20.2% (95% CI:16.1%, 25.0%) reported financial difficulties. Conclusions: This is the first national study to systematically assess the prevalence of financial difficulties and its correlates among MM patients. Approximately 1 in 5 surveyed patients reported financial difficulties. Results of this study aim to inform efforts to improve financial navigation and resources for cancer patients.
Composite grading algorithm for the National Cancer Institute’s Patient-Reported Outcomes version of the Common Terminology Criteria for Adverse Events (PRO-CTCAE)

Clinical Trials | December 1, 2020 | Volume: 18 | Issue: 1 | Pages: 104-114

10.1177/1740774520975120 | PMID 33258687

Background: The Patient-Reported Outcomes version of the Common Terminology Criteria for Adverse Events is an item library designed for eliciting patient-reported adverse events in oncology. For each adverse event, up to three individual items are scored for frequency, severity, and interference with daily activities. To align the Patient-Reported Outcomes version of the Common Terminology Criteria for Adverse Events with other standardized tools for adverse event assessment including the Common Terminology Criteria for Adverse Events, an algorithm for mapping individual items for any given adverse event to a single composite numerical grade was developed and tested. Methods: A five-step process was used: (1) All 179 possible Patient-Reported Outcomes version of the Common Terminology Criteria for Adverse Events score combinations were presented to 20 clinical investigators to subjectively map combinations to single numerical grades ranging from 0 to 3. (2) Combinations with <75% agreement were presented to investigator committees at a National Clinical Trials Network cooperative group meeting to gain majority consensus via anonymous voting. (3) The resulting algorithm was refined via graphical and tabular approaches to assure directional consistency. (4) Validity, reliability, and sensitivity were assessed in a national study dataset. (5) Accuracy for delineating adverse events between study arms was measured in two Phase III clinical trials (NCT02066181 and NCT01522443). Results: In Step 1, 12/179 score combinations had <75% initial agreement. In Step 2, majority consensus was reached for all combinations. In Step 3, five grades were adjusted to assure directional consistency. In Steps 4 and 5, composite grades performed well and comparably to individual item scores on validity, reliability, sensitivity, and between-arm delineation. Conclusion: A composite grading algorithm has been developed and yields single numerical grades for adverse events assessed via the Patient-Reported Outcomes version of the Common Terminology Criteria for Adverse Events, and can be useful in analyses and reporting.
Clinical Utility and User Perceptions of a Digital System for Electronic Patient-Reported Symptom Monitoring During Routine Cancer Care: Findings From the PRO-TECT Trial

JCO Clinical Cancer Informatics | October 28, 2020 | Volume: No volume available | Issue: 4 | Pages: 947-957

10.1200/cci.20.00081 | PMID 33112661

PURPOSE There is increasing interest in implementing digital systems for remote monitoring of patients’ symptoms during routine oncology practice. Information is limited about the clinical utility and user perceptions of these systems. METHODS PRO-TECT is a multicenter trial evaluating implementation of electronic patient-reported outcomes (ePROs) among adults with advanced and metastatic cancers receiving treatment at US community oncology practices (ClinicalTrials.gov identifier: NCT03249090 ). Questions derived from the Patient-Reported Outcomes version of the Common Terminology Criteria for Adverse Events (PRO-CTCAE) are administered weekly by web or automated telephone system, with alerts to nurses for severe or worsening symptoms. To elicit user feedback, surveys were administered to participating patients and clinicians. RESULTS Among 496 patients across 26 practices, the majority found the system and questions easy to understand (95%), easy to use (93%), and relevant to their care (91%). Most patients reported that PRO information was used by their clinicians for care (70%), improved discussions with clinicians (73%), made them feel more in control of their own care (77%), and would recommend the system to other patients (89%). Scores for most patient feedback questions were significantly positively correlated with weekly PRO completion rates in both univariate and multivariable analyses. Among 57 nurses, most reported that PRO information was helpful for clinical documentation (79%), increased efficiency of patient discussions (84%), and was useful for patient care (75%). Among 39 oncologists, most found PRO information useful (91%), with 65% using PROs to guide patient discussions sometimes or often and 65% using PROs to make treatment decisions sometimes or often. CONCLUSION These findings support the clinical utility and value of implementing digital systems for monitoring PROs, including the PRO-CTCAE, in routine cancer care.
Nurse, oncologist, and patient impressions of electronic symptom monitoring via patient-reported outcomes in community oncology practices: Qualitative results from the U.S. national PRO-TECT trial (AFT-39, NCT03249090).

Journal of Clinical Oncology | May 25, 2020 | Volume: 38 | Issue: 15_suppl | Pages: 7044-7044

10.1200/jco.2020.38.15_suppl.7044

7044 Background: There is growing interest to implement electronic patient-reported outcomes in oncology practices for symptom monitoring. It is not well known what nurse, physician, and patient impressions of benefits, acceptability, and challenges are in routine care use. Methods: PRO-TECT is an ongoing U.S. national trial including 26 community oncology practices across 15 states that implemented PRO symptom monitoring [NCT03249090]. Patients complete weekly PROs between visits, nurses receive alerts for severe/worsening symptoms, and oncologists review PROs at office visits. Interviews were conducted with 147 stakeholders including nurses (N = 46), oncologists (N = 27), data managers (N = 15), and patients (N = 59). Each stakeholder group had different interview guides with overlapping topics to explore experiences with the PRO system. Interviews lasted 15-60 minutes, were digitally recorded, transcribed, and entered into a qualitative analysis software program. A codebook was developed from the research questions, interview guides, and discussions with the project team. Standardized coding methods were applied, with transcripts double coded for thematic analysis. Feedback surveys were also completed by nurses (N = 57), oncologists (N = 38), and patients (N = 435). Results: Key benefits perceived across stakeholder groups included increased patient self-awareness of symptoms; improved direct communication of patients with care teams; more open and honest conveying of symptom experiences; ability to track symptoms over time; and increased involvement of patients in their own care. Most stakeholders felt PRO symptom monitoring had a positive impact on quality of care delivery, and believed benefits of PROs outweighed necessary staff efforts. Challenges included additional work by nurses to review and respond to alerts, staff turnover requiring retraining, and limited time of oncologists. In the survey, 39/56 (70%) nurses felt the PRO system improved quality of care; 27/33 (82%) oncologists noted PROs were useful for team discussions and care delivery; and 320/434 (74%) patients agreed that weekly PRO reporting improved discussions with their care team. Conclusions: Clinicians and patients perceived weekly PRO symptom monitoring between visits to be valuable despite added staff effort. Results of additional analyses are forthcoming. Clinical trial information: NCT03249090 .
Composite grading algorithm for National Cancer Institute’s PRO-CTCAE.

Journal of Clinical Oncology | May 25, 2020 | Volume: 38 | Issue: 15_suppl | Pages: 7018-7018

10.1200/jco.2020.38.15_suppl.7018

7018 Background: Standard reporting of symptomatic adverse events (AEs) in oncology relies on clinicians to rate patient (pt) experience using CTCAE; each symptom is represented by a single graded item. To capture direct pt experience, NCI developed PRO-CTCAE to supplement CTCAE. In PRO-CTCAE, the pt answers up to 3 questions per AE about a symptom’s frequency, severity and interference with daily activities. To align PRO-CTCAE with CTCAE, we developed an algorithm for mapping sets of questions for an AE to a single composite numerical grade. Methods: We used a 5-step process. (1) All 187 possible PRO-CTCAE score permutations were presented to clinical investigators to subjectively map permutations to single numerical grades (range 0-3). (2) Permutations with < 75% agreement were presented to investigator committees at a National Clinical Trials Network meeting to gain majority consensus via anonymous voting. (3) The resulting algorithm was refined via graphical and tabular approaches to assure directional consistency. (4) Validity, reliability and sensitivity were assessed in a national study dataset. (5) Accuracy for delineating AEs between study arms was measured in 2 phase III clinical trials (Alliance for Clinical Trials in Oncology A091105 and Exelixis COMET-2). Results: (1) 12/187 score permutations had < 75% initial agreement. (2) Majority consensus was reached for all permutations. (3) 5 mappings were adjusted to assure directional consistency. (4) Composite grades for 46/59 (78%) AEs were higher in pts with ECOG performance status 2-4 vs 0-1 (median effect size 0.23 [range -0.49-0.73]; 32/59 effect size ≥0.2; 25/59 p< 0.05), similar to when conducting analysis on individual unmapped items. The test-retest reliability for 24 selected composite grades ranged from 0.57-0.96 (median intraclass correlation coefficient [ICC] 0.77) with 18/24 (75%) grades having ICC ≥0.7. Median (range) standardized response means in pts reporting worsening, no change, and improvement were 0.20 (0.03-0.34), -0.06 (-0.20-0.03) and -0.12 (-0.32-0.06). (5) Pattern, directionality and statistical significance of between-arm differences in both trials were preserved with composite grades as compared to individual unmapped items. Conclusions: A composite grading algorithm for PRO-CTCAE was rigorously developed and validated. PRO-CTCAE composite grades may be useful in analyses to provide a single metric for each pt-reported AE for trial and real-world reporting. Support: UG1CA189823; U01CA233046; HHSN261200800043C; Bayer (A091105); https://acknowledgments.alliancefound.org .
Assessment of Adverse Events From the Patient Perspective in a Phase 3 Metastatic Castration-Resistant Prostate Cancer Clinical Trial

JAMA Oncology | September 26, 2019 | Volume: 6 | Issue: 2 | Pages: e193332

10.1001/jamaoncol.2019.3332 | PMID 31556911

Methods for alerting clinicians to concerning symptom questionnaire responses during cancer care: Approaches from two randomized trials (STAR, AFT-39 PRO-TECT).

Journal of Clinical Oncology | September 25, 2018 | Volume: 36 | Issue: 30_suppl | Pages: 158-158

10.1200/jco.2018.36.30_suppl.158

158 Background: There is limited research on methods for alerting clinicians to concerning patient-reported outcome (PRO) responses and how often PROs trigger alerts to nurses during cancer care. Methods: In two randomized trials, adults with advanced cancer receiving chemotherapy were enrolled. Participants were randomized to usual care vs. weekly PROs completed between visits (with automated feedback to nurses). PRO responses in the intervention arm triggered automated email alerts to nurses for frequent, severe, or worsening symptoms in the last 7 days. Alert thresholds for PROs were chosen a priori but were unique to each study. The “Symptom Tracking and Reporting” (STAR) trial was conducted at one academic medical center. The “PROs to Enhance Cancer Treatment” (PRO-TECT [AFT-39]) cluster-randomized trial is being conducted in > 30 community practices. Results: In STAR, 766 patients participated (58% female, 38% ages ≥65, 17% minority, 28% ≤high school). 441 participants were randomized to the intervention arm, where 1,431/84,212 items (2%) triggered a concerning symptom alert, during 1,070/8,498 weeks (13%). Frequent alerts were for fatigue (62%), pain (32%), and appetite (16%). In PRO-TECT (AFT-39), 300 patients have been enrolled (58% female, 49% ages ≥65, 8% minority, 47% ≤high school) out of 1,000. 146 participants have been randomized to the intervention arm, where 1,422/24,739 items (6%) triggered an alert, during 824/2249 weeks (37%). Common alerts were for pain (48%), physical function (35%), and diarrhea (15%). PRO-TECT provided clinical decision support with alerts. Conclusions: In two randomized trials in advanced cancer, PROs collected during care delivery enabled tailored treatment based on issues identified on PROs. Pain, physical function, appetite, and diarrhea commonly triggered alerts for concerning symptoms. Early PRO-TECT results are showing a trend for higher weekly alert rates for concerning symptoms (37% vs. 13% in STAR), which may indicate that the PRO intervention will be even more effective in community practices. Results assist in addressing logistical considerations for implementing PROs into routine care. Clinical trial information: NCT03249090.
Patient preference for receiving information about long-term symptoms.

Journal of Clinical Oncology | September 6, 2018 | Volume: 35 | Issue: 15_suppl | Pages: e21681-e21681

10.1200/jco.2017.35.15_suppl.e21681

e21681 Background: Maintaining quality of life with minimal symptoms is an important goal of cancer treatment. We surveyed patients undergoing cancer treatment about their preferences for information about the long-term symptom burden associated with their current treatment. Methods: Patients undergoing active cancer treatment were enrolled at two large cancer centers from 1/2014 to 7/2015. At the time of enrollment patients reported their household income, employment, performance status and their agreement with the statement, “It would be useful to know the percentage of patients having persistent symptoms more than a year after getting the same treatment I am getting.” Treatment intention (curative vs. palliative) was reported by the treating oncologist. Results: 196 patients completed the survey. The mean age was 55.7 (range 20-80); 54% were female, 69% were white, and 60% were receiving palliative treatment. The majority (83%) of patients either strongly agreed or somewhat agreed that it would be helpful to have information about future symptoms. In univariable analyses, this preference did not significantly differ based on patient-reported performance status, sex, age, treatment intent, race, or household income. Using a more stringent criterion to dichotomize the outcome, 59% of participants strongly agreed that it would be helpful to have information about future symptoms. Patients undergoing treatment with curative intent were significantly more likely to strongly agree (72% vs. 51%, p = 0.0035). In a multivariable analysis adjusting for age, sex, income level, employment status, and patient-reported performance status, participants undergoing curative versus palliative treatment had 3.1 times the odds (95% CI 1.47-6.65) of strongly agreeing. Conclusions: The majority of patients undergoing cancer treatment wanted to know what symptoms to expect in the future, and this was independent of patient demographics. Patients undergoing treatment with curative intent are significantly more likely to want this information than patients undergoing palliative treatment. Symptom data collected through research studies and registries should be summarized by treatment and other key predictors and made available to patients.
A multicenter analysis of patient reported risk factors for not working during cancer therapy.

Journal of Clinical Oncology | September 6, 2018 | Volume: 35 | Issue: 15_suppl | Pages: 6523-6523

10.1200/jco.2017.35.15_suppl.6523

6523 Background: Treatment for most types of cancer results in work disruptions. The aim of this study is to identify risk factors for not working during cancer therapy using a patient-reported outcome tool. Methods: Patients of all cancer types, who were undergoing treatment with curative or palliative intent, were enrolled in a survey-based study at Memorial Sloan Kettering Cancer Center and the North Carolina Cancer Hospital from 1/2014 to 7/2015. All patients working full- or part- time at the time of cancer diagnosis were included in this analysis. Patient reported outcomes were collected using a survey tool at any time during active cancer treatment. The primary outcome of this analysis was self-reported work status at the time of survey completion. Results: Of 119 patients who were working before their cancer diagnosis, 68% were working at the time of survey completion. The mean age was 52.9 (range 20-80). Younger age was associated with working: 82% of patients age < 40 were working during treatment vs. 31% of patients age > 65 (p=0.01). The number of days patients reported being completely unable to work in the past month was significantly associated with work status; only 26% of patients who missed > 10 days continued to work compared to 69% who missed ≤ 10 days (p<0.01). Patients who report having a flexible work schedule were 23% more likely to continue to work during treatment (69% vs. 46%, p=0.01). In a multivariable model controlling for having an employer contingent health plan, and household income > 200% of the federal poverty level (fpl), only age, having a flexible work schedule, and inability to work > 10 days were independently associated with work status during treatment (Table). Conclusions: Having a flexible work schedule allowed for more work interruptions without job loss. Patients who are likely to miss more than 10 days of work and who have inflexible work schedules are at high risk of unemployment and should be targeted for employment retention initiatives. [Table: see text]
Overall survival results of a randomized trial assessing patient-reported outcomes for symptom monitoring during routine cancer treatment.

Journal of Clinical Oncology | September 6, 2018 | Volume: 35 | Issue: 15_suppl | Pages: LBA2-LBA2

10.1200/jco.2017.35.15_suppl.lba2

LBA2 The full, final text of this abstract will be available at abstracts.asco.org at 7:30 AM (EDT) on Sunday, June 4, 2017, and in the Annual Meeting Proceedings online supplement to the June 20, 2017, issue of the Journal of Clinical Oncology. Onsite at the Meeting, this abstract will be printed in the Sunday edition of ASCO Daily News.