Randomized controlled trial of a text-based smokeless tobacco cessation intervention for rural and medically underserved communities.

INTRODUCTION: Smokeless tobacco use remains prevalent in rural and medically underserved populations, leading to increased rates of tobacco-related cancers and chronic disease. While access to effective cessation programs is limited, text-based interventions may offer a delivery approach with broad reach. This two-armed randomized control trial (RCT) assessed the efficacy of #EnufSnuff.TXT, a text-based smokeless tobacco cessation intervention, in rural and medically underserved communities. METHODS: We conducted a two-arm RCT assessing #EnufSnuff.TXT, a text-based scheduled reduction intervention paired with text-based cessation support messages compared with the modified Enough Snuff intervention comprised of a cessation education booklet and bi-weekly motivational text messages. We recruited participants via social media and surveyed participants at three and six months post-randomization. The primary outcome was self-reported seven-day point prevalence abstinence at six months. RESULTS: We recruited and randomized 532 participants. At three months post randomization, the quit rate was significantly higher in #EnufSnuff.TXT arm compared to the Enough Snuff arm for intent-to-treat (ITT) cases (29.2% vs 19.0%, OR=1.75, p=0.0066). The quit rate at six months post randomization remained higher in #EnufSNuff.TXT compared to Enough Snuff for ITT cases (23.1% vs 20.9%, OR=1.14, p=0.5384), although no longer significantly different. CONCLUSION: This is the first large-scale text-based cessation clinical trial for individuals in underserved areas who use smokeless tobacco. The #EnufSnuff.TXT intervention performed better in the short term, however both interventions yielded similar quit-rates at 6-months post randomization. Future research should focus on improving long-term abstinence in the #EnufSNuff.TXT intervention. IMPLICATIONS: Text-based cessation approaches have the potential to increase access to cessation interventions in rural and medically underserved areas and reduce tobacco-related chronic disease morbidity and mortality. Our study shows short-term efficacy from the first ever randomized controlled trial of a smokeless tobacco cessation intervention, #EnufSnuff.TXT, for rural and medically underserved residents in the United States. Our #EnufSnuff.TXT Intervention offers a scalable solution to reach and provide much needed access to cessation interventions in medically underserved, rural communities in the United States. This work provides the foundation for further inquiry on augmented text-based approaches to increase cessation in this at-risk group.

Lessons Learned Establishing the Palliative Care Research Cooperative's Qualitative Data Repository.

Data sharing is increasingly an expectation in health research as part of a general move toward more open sciences. In the United States, in particular, the implementation of the 2023 National Institutes of Health Data Management and Sharing Policy has made it clear that qualitative studies are not exempt from this data sharing requirement. Recognizing this trend, the Palliative Care Research Cooperative Group (PCRC) realized the value of creating a de-identified qualitative data repository to complement its existing de-identified quantitative data repository. The PCRC Data Informatics and Statistics Core leadership partnered with the Qualitative Data Repository (QDR) to establish the first serious illness and palliative care qualitative data repository in the U.S. We describe the processes used to develop this repository, called the PCRC-QDR, as well as our outreach and education among the palliative care researcher community, which led to the first ten projects to share the data in the new repository. Specifically, we discuss how we co-designed the PCRC-QDR and created tailored guidelines for depositing and sharing qualitative data depending on the original research context, establishing uniform expectations for key components of relevant documentation, and the use of suitable access controls for sensitive data. We also describe how PCRC was able to leverage its existing community to recruit and guide early depositors and outline lessons learned in evaluating the experience. This work advances the establishment of best practices in qualitative data sharing.

Advancing the Science of Palliative Care: Contributions of the Palliative Care Research Cooperative Group.

The Palliative Care Research Cooperative Group (PCRC) formed to lead, catalyze, and empower a community of scientists to build an evidence base to ensure high-quality care and optimal well-being for persons with serious illness and their caregivers. The PCRC grew to 630 members representing 220 distinct sites. The PCRC awarded 44 pilot grant awards (total investment $1.4 million), resulting in $15.8 million in extramural grant funding, supported monthly webinars, an annual mentorship selective, "Clinical Trials Intensives," research consultation, and grant review. Among the 169 Clinical Trials Intensive participants, 74 subsequently achieved extramural grant award funding with direct costs of over $139 million. The PCRC supported the submission of extramural research applications and fostered community through annual meetings, special interest groups, newsletters, and its website. The PCRC filled an important void in serious illness science and set the stage for the next era of advancing serious illness research.

Cancer Treatment Decision-Making for People Living With HIV: Physician-Reported Barriers, Facilitators, and Recommendations.

BACKGROUND: Compared with the general cancer population, people living with HIV (PLWH) and cancer are less likely to receive treatment and have significantly elevated cancer-specific mortality for many common cancer types. Physician recommendations drive the cancer therapy that patients receive, yet there is limited information assessing how cancer treatment decisions are made for people living with HIV and cancer. We sought to understand oncologist decision-making in PLWH and cancer by eliciting barriers, facilitators, and recommendations for enhancing care delivery. SETTING: Participants were recruited between May 2019 and May 2021 from one academic medical center in the western United States (n = 13), another in the southeastern United States (n = 7), and community practices nationwide (n = 5). METHODS: Using an inductive qualitative approach, we conducted in-depth interviews with 25 oncologists from two academic medical centers and community practices. RESULTS: Facilitators of cancer care delivery included readily available information regarding HIV status and stage, interdepartmental communication, and antiviral therapy adherence. Barriers included a lack of formal education on HIV malignancies, perceptions of decreased life expectancy, fear of inadvertent disclosure, and drug-drug interactions. Recommendations included improved provider communication, patient social and mental health resources, and continuing education opportunities. CONCLUSION: The study revealed drivers of cancer treatment decision-making, highlighting physician-reported barriers and facilitators, and recommendations to support treatment decision-making. This is the first known study examining oncologists' perceptions of caring for PLWH. Given that cancer is a leading cause of death among PLWH, there is an urgent need to improve care and outcomes.

Empathic communication between clinicians, patients, and care partners in palliative care encounters.

OBJECTIVE: Palliative care encounters often involve empathic opportunities conveyed by patients and their care partners. In this secondary analysis, we examined empathic opportunities and clinician responses with attention to how presence of multiple care partners and clinicians shapes empathic communication. METHODS: We used the Empathic Communication Coding System (ECCS) to characterize emotion-focused, challenge-focused, and progress-focused empathic opportunities and responses in 71 audio-recorded palliative care encounters in the US. RESULTS: Patients expressed more emotion-focused empathic opportunities than did care partners; care partners expressed more challenge-focused empathic opportunities than did patients. Care partners initiated empathic opportunities more frequently when more care partners were present, though they expressed fewer as the number of clinicians increased. When more care partners and more clinicians were present, clinicians had fewer low-empathy responses. CONCLUSION: The number of care partners and clinicians present affect empathic communication. Clinicians should be prepared for empathic communication focal points to shift depending on the number of care partners and clinicians present. PRACTICE IMPLICATIONS: Findings can guide development of resources to prepare clinicians to meet emotional needs in palliative care discussions. Interventions can coach clinicians to respond empathically and pragmatically to patients and care partners, particularly when multiple care partners are in attendance.

Improving Cancer Care for People Living With HIV: A Qualitative Study of Provider Knowledge, Attitudes, and Practice.

PURPOSE: Cancer is now the leading cause of non-AIDS death in the US population with HIV. People living with HIV (PLWH) are known to have lower cancer treatment rates and worse cancer outcomes. Disparate cancer treatment is driven by health system, patient, and clinician factors. Little attention has been given to the factors oncologists consider when making cancer treatment recommendations to PLWH. This study sought to examine oncologists' knowledge, attitudes, and practices that influence cancer treatment decision-making. METHODS AND MATERIALS: This study used qualitative methods to explore oncologists' treatment decision-making processes for PLWH and cancer. The sample included 25 radiation, medical, and surgical oncologists from 2 academic centers and 5 community practices. The interview domains were developed from the Andersen Healthcare Utilization Model, the Health Belief Model, and the PEN-3 Model, as well as our prior survey research. RESULTS: This study describes elements of cancer treatment decision-making for PLWH. Oncologists highlighted the need for formal HIV education to support cancer treatment. One main concern with patient-provider interactions pertained to maintaining patient confidentiality during clinical encounters. Lastly, the importance of multidisciplinary care among health care providers allowed oncologists to facilitate both cancer care and logistical support. CONCLUSIONS: As cancer becomes an increasingly common cause of death among PLWH, it is critical to understand the drivers of the observed disparities in cancer treatment. To our knowledge, this is the first qualitative study to describe oncologists' knowledge, attitudes, and practices toward patients who have a comorbid diagnosis of HIV and cancer. Several themes for future interventions emerge, including HIV training for cancer care providers, fostering interdisciplinary collaboration, enhancing HIV education for oncology learners and clinicians, and minimizing implicit bias.

Development of a keyword library for capturing PRO-CTCAE-focused "symptom talk" in oncology conversations.

Objectives: As computational methods for detecting symptoms can help us better attend to patient suffering, the objectives of this study were to develop and evaluate the performance of a natural language processing keyword library for detecting symptom talk, and to describe symptom communication within our dataset to generate insights for future model building. Materials and Methods: This was a secondary analysis of 121 transcribed outpatient oncology conversations from the Communication in Oncologist-Patient Encounters trial. Through an iterative process of identifying symptom expressions via inductive and deductive techniques, we generated a library of keywords relevant to the Patient-Reported Outcome version of the Common Terminology Criteria for Adverse Events (PRO-CTCAE) framework from 90 conversations, and tested the library on 31 additional transcripts. To contextualize symptom expressions and the nature of misclassifications, we qualitatively analyzed 450 mislabeled and properly labeled symptom-positive turns. Results: The final library, comprising 1320 terms, identified symptom talk among conversation turns with an F1 of 0.82 against a PRO-CTCAE-focused gold standard, and an F1 of 0.61 against a broad gold standard. Qualitative observations suggest that physical symptoms are more easily detected than psychological symptoms (eg, anxiety), and ambiguity persists throughout symptom communication. Discussion: This rudimentary keyword library captures most PRO-CTCAE-focused symptom talk, but the ambiguity of symptom speech limits the utility of rule-based methods alone, and limits to generalizability must be considered. Conclusion: Our findings highlight opportunities for more advanced computational models to detect symptom expressions from transcribed clinical conversations. Future improvements in speech-to-text could enable real-time detection at scale.

Implementation mapping for tobacco cessation in a federally qualified health center.

Background: Implementation mapping (IM) is a promising five-step method for guiding planning, execution, and maintenance of an innovation. Case examples are valuable for implementation practitioners to understand considerations for applying IM. This pilot study aimed to determine the feasibility of using IM within a federally qualified health center (FQHC) with limited funds and a 1-year timeline. Methods: An urban FQHC partnered with an academic team to employ IM for implementing a computerized strategy of tobacco cessation: the 5A's (Ask, Advise, Assess, Assist, Arrange). Each step of IM was supplemented with theory-driven methods and frameworks. Data collection included surveys and interviews with clinic staff, analyzed via rapid data analysis. Results: Medical assistants and clinicians were identified as primary implementers of the 5A's intervention. Salient determinants of change included the perceived compatibility and relative priority of 5A's. Performance objectives and change objectives were derived to address these determinants, along with a suite of implementation strategies. Despite indicators of adoptability and acceptability of the 5A's, reductions in willingness to adopt the implementation package occurred over time and the intervention was not adopted by the FQHC within the study timeframe. This is likely due to the strain of the COVID-19 pandemic altering health clinic priorities. Conclusions: Administratively, the five IM steps are feasible to conduct with FQHC staff within 1 year. However, this study did not obtain its intended outcomes. Lessons learned include the importance of re-assessing barriers over time and ensuring a longer timeframe to observe implementation outcomes.

Quitting Smoking before and after Pregnancy: Study Methods and Baseline Data from a Prospective Cohort Study.

Smoking during pregnancy and postpartum remains an important public health problem. No known prior study has prospectively examined mutual changes in risk factors and women's smoking trajectory across pregnancy and postpartum. The objective of this study was to report methods used to implement a prospective cohort (Msgs4Moms), present participant baseline characteristics, and compare our sample characteristics to pregnant women from national birth record data. The cohort study was designed to investigate smoking patterns, variables related to tobacco use and abstinence, and tobacco treatment quality across pregnancy through 1-year postpartum. Current smokers or recent quitters were recruited from obstetrics clinics. Analyses included Chi-square and independent sample t-tests using Cohen's d. A total of 62 participants (41 smokers and 21 quitters) were enrolled. Participants were Black (45.2%), White (35.5%), and multiracial (19.3%); 46.8% had post-secondary education; and most were Medicaid-insured (64.5%). Compared with quitters, fewer smokers were employed (65.9 vs 90.5%, Cohen's d = 0.88) and more reported financial strain (61.1% vs 28.6%; Cohen's d = 0.75). Women who continue to smoke during pregnancy cope with multiple social determinants of health. Longitudinal data from this cohort provide intensive data to identify treatment gaps, critical time points, and potential psychosocial variables warranting intervention.

Empathic Communication in Specialty Palliative Care Encounters: An Analysis of Opportunities and Responses.

Background: Although empathic responding is considered a core competency in specialty palliative care (PC), patterns of empathic communication in PC encounters are not well understood. Objectives: In this secondary analysis, we delineate types and frequency of empathic communication and examine relationships between patient empathic opportunities and clinician responses. Design: We used the Empathic Communication Coding System to analyze empathic opportunities across three types: emotion (i.e., negative affective state), progress (i.e., stated recent positive life event or development), and challenge (i.e., stated problem or recent, negative life-changing event) and clinician responses. Setting/Subjects: Transcripts from a pilot randomized trial of communication coaching in specialty PC encounters (N = 71) audio-recorded by 22 PC clinicians at two sites in the United States: an academic health system and a community-based hospice and PC organization. Results: Empathic opportunities were frequent across encounters; clinicians often responded empathically to those opportunities (e.g., confirming or acknowledging patients' emotions or experiences). Even though challenge empathic opportunities occurred most frequently, clinicians responded empathically more often to progress opportunities (i.e., 93% of the time) than challenge opportunities (i.e., 75% of the time). One in 12 opportunities was impeded by the patient or a family member changing the topic before the clinician could respond. Conclusions: PC patients frequently express emotions, share progress, or divulge challenges as empathic opportunities. Clinicians often convey empathy in response and can differentiate their empathic responses based on the type of empathic opportunity. PC communication research and training should explore which empathic responses promote desired patient outcomes.

How can healthcare organizations improve cost-of-care conversations? A qualitative exploration of clinicians' perspectives.

OBJECTIVES: Clinicians increasingly believe they should discuss costs with their patients. We aimed to learn what strategies clinicians, clinic leaders, and health systems can use to facilitate vital cost-of-care conversations. METHODS: We conducted focus groups and semi-structured interviews with outpatient clinicians at two US academic medical centers. Clinicians recalled previous cost conversations and described strategies that they, their clinic, or their health system could use to facilitate cost conversations. Independent coders recorded, transcribed, and coded focus groups and interviews. RESULTS: Twenty-six clinicians participated between December 2019 and July 2020: general internists (23%), neurologists (27%), oncologists (15%), and rheumatologists (35%). Clinicians proposed the following strategies: teach clinicians to initiate cost conversations; systematically collect financial distress information; partner with patients to identify costs; provide accurate insurance coverage and/or out-of-pocket cost information via the electronic health record; develop local lists of lowest-cost pharmacies, laboratories, and subspecialists; hire financial counselors; and reduce indirect costs (e.g., parking). CONCLUSIONS: Despite considerable barriers to discussing, identifying, and reducing patient costs, clinicians described a variety of strategies for improving cost communication in the clinic. PRACTICE IMPLICATIONS: Health systems and clinic leadership can and should implement these strategies to improve the financial health of the patients they serve.

Effects of Smoking Reduction and Cessation on Birth Outcomes in a Scheduled Gradual Reduction Cessation Trial.

INTRODUCTION: Smoking during pregnancy can affect infant birthweight. We tested whether an intervention that promoted scheduled gradual reduction improved birth outcomes among pregnant women who smoked. We also examined race differences in birth outcomes. METHODS: We conducted a 2-arm randomized controlled trial where pregnant women who smoked received either SMS text-delivered scheduled gradual smoking reduction (SGR) program plus support texts or support messages only throughout their pregnancy. The outcomes for this paper were birth outcomes including birth weight and gestational age obtained from chart review. Analyses were conducted using chi-square and t-tests in SAS. RESULTS: We approached 2201 pregnant women with smoking history. Of the 314 women recruited into the study, 290 completed a medical release form (92%). We did not find any significant differences in birth outcomes by arm or race. The majority of participants reduced smoking by the 80%. Women who reduced more than 50% of their baseline cigarettes per day had a birth weight increase of 335 g compared to those that did not (p = 0.05). The presence of alcohol/drug use in prenatal visit notes was associated with low infant birth weight (p = 0.05). DISCUSSION: The scheduled gradual reduction intervention did not improve birth outcomes. Additional research is needed to help improve birth outcomes for pregnant women who engage in tobacco and illicit substance use. CLINICAL TRIAL #: NCT01995097.

A web-based personalized decision support tool for patients diagnosed with ductal carcinoma in situ: development, content evaluation, and usability testing.

PURPOSE: Patients diagnosed with ductal carcinoma in situ (DCIS) face trade-offs when deciding among different treatments, including surgery, radiation, and endocrine therapy. A less chosen option is active monitoring. While evidence from clinical trials is not yet available, observational studies show comparable results for active monitoring and immediate treatment on cancer outcomes in select subgroups of patients. We developed and tested a web-based decision support tool (DST) to help patients explore current knowledge about DCIS and make an informed choice. METHODS: The DST, an interactive web application, was informed by literature reviews and formative work with patients, breast surgeons, and health communication experts. We conducted iterative interviews to evaluate the DST content among women with and without a history of breast cancer, as well as breast cancer experts. For usability testing, we conducted an online survey among women with and without a history of breast cancer. RESULTS: For content evaluation, 5 women with and 10 women without a history of DCIS were interviewed. The sample included 11 White and 4 non-White women, with a mean age of 64 years. The expert sample consisted of 5 attendings and a physician assistant. The feedback was used to add, clarify, or reorganize information in the DST. For usability testing, 22 participants with a mean age of 61 years were recruited including 15 White and 7 Black women and 6 women with a history of DCIS. The mean usability score was 3.7 out of 5. Most participants (86%) found that the DST provided unbiased information about treatments. To improve usability, we reduced the per-page content and added navigation cues. CONCLUSION: Content and usability evaluation showed that the DST helps patients explore trade-offs of active monitoring and immediate treatment. By adopting a personalized approach, the tool will enable informed decisions aligned with patients' values and expectations.

Trajectories of Situational Temptations in Pregnant Smokers participating in a Scheduled Gradual Reduction Cessation Trial.

OBJECTIVE: The purpose of this paper was to examine changes in situational temptations to smoke among women in early to late pregnancy enrolled in a texting trial to help them quit smoking. We compared changes between (1) intervention arms, (2) those who quit, (3) those who reduced by 50% or more, and (4) those who reduced by less than 50%. We also examined cravings overtime in the intervention arm and the relationship between real-time cravings assessed via text message and situational temptations. METHODS: This was a secondary analysis of the Baby Steps trial, a randomized controlled trial testing the efficacy of a text-based scheduled gradual reduction (SGR) intervention on cessation. We used t-tests to examine changes across intervention arms and repeated measured proc mixed to explore changes in situational temptations and cravings. RESULTS: Among all women, situational temptations decreased from early to late pregnancy for the positive, negative, and habitual subscales, (ps < 0.001). We found no difference in situational temptations across arms. We found a positive relationship between negative situational temptation and average craving during the Weeks 2 and Weeks 3 of the intervention. Negative ST increased by 0.11 for each unit increase of craving at Week 2. CONCLUSIONS: As women progress through pregnancy their temptation to smoke reduces. A different relationship might exist, however with negative affect situations in which women reported higher craving but not in response to other temptations. Future work might have a particular focus on the intersection of negative affect with cravings and temptations to promote cessation during pregnancy. CLINICAL TRIAL: NCT01995097.

Systemic Therapy Decision Making in Advanced Cancer: A Qualitative Analysis of Patient-Oncologist Encounters.

PURPOSE: We sought to characterize patient-oncologist communication and decision making about continuing or limiting systemic therapy in encounters after an initial consultation, with a particular focus on whether and how oncologists foster shared decision making (SDM). METHODS: We performed content analysis of outpatient oncology encounters at two US National Cancer Institute-designated cancer centers audio recorded between November 2010 and September 2014. A multidisciplinary team used a hybrid approach of inductive and deductive coding and theme development. We used a combination of random and purposive sampling. We restricted quantitative frequency counts to the coded random sample but included all sampled encounters in qualitative thematic analysis. RESULTS: Among 31 randomly sampled dyads with three encounters each, systemic therapy decision making was discussed in 90% (84 of 93) encounters. Thirty-four (37%) broached limiting therapy, which 27 (79%) framed as temporary, nine (26%) as completion of a standard regimen, and five (15%) as permanent discontinuation. Thematic analysis of these 93 encounters, plus five encounters purposively sampled for permanent discontinuation, found that (1) patients and oncologists framed continuing therapy as the default, (2) deficiencies in the SDM process (facilitating choice awareness, discussing options, and incorporating patient preferences) contributed to this default, and (3) oncologists use persuasion rather than deliberation when broaching discontinuation. CONCLUSION: In this study of outpatient encounters between patients with advanced cancer and their oncologists, when discussing systemic therapy, there exists a default to continue systemic therapy, and deficiencies in SDM contribute to this default.

Triadic agreement about advanced cancer treatment decisions: Perceptions among patients, families, and oncologists.

OBJECTIVES: When patients make cancer treatment decisions, they consider the needs and preferences of family caregivers and clinicians. We examined how much all three triad members agreed about goals of treatment and caregivers' influence on decision-making. METHODS: We surveyed 70 triads of patients, caregivers, and oncologists who had recently made an advanced cancer treatment decision. We assessed each triad member's perception of the goal of treatment and the caregiver's influence on the decision. Participants also completed scales related to decisional conflict, satisfaction, and regret. RESULTS: In only 28/70 triads (40%), all three agreed on the goal of treatment with the most common goal being to live longer (n = 22). Whereas patients and caregivers tended to think the goal was to cure or live longer, oncologists were less optimistic. In only 22 triads (31%), all three agreed on how much influence the caregiver had on decision-making. Oncologists tended to underestimate caregiver influence. Patients and caregivers had low decisional conflict (M=15.40, SD=4.51; M=17.09, SD=6.34, respectively). CONCLUSIONS: Advanced cancer treatment decision-making occurs amid incomplete understanding among patients, caregivers, and oncologists. PRACTICE IMPLICATIONS: Confirming agreement about goals of care and influence on treatment decision-making may increase the likelihood of goal-concordant care throughout the illness trajectory.

Actual and Missed Opportunities for End-of-Life Care Discussions With Oncology Patients: A Qualitative Study.

Importance: Early discussion of end-of-life (EOL) care preferences improves clinical outcomes and goal-concordant care. However, most EOL discussions occur approximately 1 month before death, despite most patients desiring information earlier. Objective: To describe successful navigation and missed opportunities for EOL discussions (eg, advance care planning, palliative care, discontinuation of disease-directed treatment, hospice care, and after-death wishes) between oncologists and outpatients with advanced cancer. Design, Setting, and Participants: This study is a secondary qualitative analysis of outpatient visits audio-recorded between November 2010 and September 2014 for the Studying Communication in Oncologist-Patient Encounters randomized clinical trial. The study was conducted at 2 US academic medical centers. Participants included medical, gynecological, and radiation oncologists and patients with stage IV malignant neoplasm, whom oncologists characterized as being ones whom they "…would not be surprised if they were admitted to an intensive care unit or died within one year." Data were analyzed between January 2018 and August 2020. Exposures: The parent study randomized participants to oncologist- and patient-directed interventions to facilitate discussion of emotions. Encounters were sampled across preintervention and postintervention periods and all 4 treatment conditions. Main Outcomes and Measures: Secondary qualitative analysis was done of patient-oncologist dyads with 3 consecutive visits for EOL discussions, and a random sample of 7 to 8 dyads from 4 trial groups was analyzed for missed opportunities. Results: The full sample included 141 patients (54 women [38.3%]) and 39 oncologists (8 women [19.5%]) (mean [SD] age for both patients and oncologists, 56.3 [10.0] years). Of 423 encounters, only 21 (5%) included EOL discussions. Oncologists reevaluated treatment options in response to patients' concerns, honored patients as experts on their goals, or used anticipatory guidance to frame treatment reevaluation. In the random sample of 31 dyads and 93 encounters, 35 (38%) included at least 1 missed opportunity. Oncologists responded inadequately to patient concerns over disease progression or dying, used optimistic future talk to address patient concerns, or expressed concern over treatment discontinuation. Only 4 of 23 oncologists (17.4%) had both an EOL discussion and a missed opportunity. Conclusions and Relevance: Opportunities for EOL discussions were rarely realized, whereas missed opportunities were more common, a trend that mirrored oncologists' treatment style. There remains a need to address oncologists' sensitivity to EOL discussions, to avoid unnecessary EOL treatment.

Increasing physical activity in Cancer Survivors through a Text-messaging Exercise motivation Program (ICanSTEP).

PURPOSE: Cancer survivors are often sedentary. Self-monitoring may promote physical activity through self-activation. We conducted a pilot trial to evaluate whether wearable activity tracker with personalized text message feedback would increase physical activity. METHODS: We enrolled 30 patients with solid tumor cancers into a non-randomized prospective intervention trial (NCT02627079): 15 had completed treatment in the past year and 15 under active treatment. Each participant received an activity tracker and daily text messages personalized to their activity level. We assessed patient-reported outcomes and 6-min walk (6 MW) at baseline and 3 months. RESULTS: Twenty-six participants completed the study. There was substantial variation in baseline activity. Overall, 39% of participants increased their steps taken by at least 20%, and 23% increased their 6 MW distance by 20% or more. More participants who had completed treatment strongly agreed (73%) that the intervention increased their exercise levels than those receiving active treatment (47%). At 3 months, there was a significant improvement in median Beck Depression Inventory-II and Godin Leisure Index composite scores. At 6 months, 72% still wore their activity tracker at least 4 days per week. CONCLUSION: We found that the intervention was well-accepted with a high completion rate at 3 months and continued self-use at 6 months. In this pilot study of combined activity tracker and motivational messaging, we found a signal for increased physical activity over a 3-month period. Future research is needed to study this technique for its impact on activity and other physical and psychological measures of well-being. IMPLICATION FOR CANCER SURVIVORS: Activity tracker with personalized motivational messaging may be useful in promoting physical activity in cancer survivors.

Mobile Application to Identify Cancer Treatment-Related Financial Assistance: Results of a Randomized Controlled Trial.

PURPOSE: Insured patients with cancer face high treatment-related, out-of-pocket (OOP) costs and often cannot access financial assistance. We conducted a randomized, controlled trial of Bridge, a patient-facing app designed to identify eligible financial resources for patients. We hypothesized that patients using Bridge would experience greater OOP cost reduction than controls. METHODS: We enrolled patients with cancer who had OOP expenses from January 2018 to March 2019. We randomly assigned patients 1:1 to intervention (Bridge) versus control (financial assistance educational websites). Primary and secondary outcomes were self-reported OOP costs and subjective financial distress 3 months postenrollment. In post hoc analyses, we analyzed application for and receipt of financial assistance at 3 months postenrollment. We used chi-square, Mann-Whitney tests, and logistic regression to compare study arms. RESULTS: We enrolled 200 patients. The median age was 57 years (IQR, 47.0-63.0). Most patients had private insurance (71%), and the median household income was $62,000 in US dollars (USD) (IQR, $36,000-$100,000 [USD]). Substantial missing data precluded assessment of primary and secondary outcomes. In post hoc analyses, patients in the Bridge arm were more likely than controls to both apply for and receive financial assistance. CONCLUSION: We were unable to test our primary outcome because of excessive missing follow-up survey data. In exploratory post hoc analyses, patients who received a financial assistance app were more likely to apply for and receive financial assistance. Ultimately, our study highlights challenges faced in identifying measurable outcomes and retaining participants in a randomized, controlled trial of a mobile app to alleviate financial toxicity.

A Yet Unrealized Promise: Structured Advance Care Planning Elements in the Electronic Health Record.

Background: Electronic health records (EHRs) may help enable reliable, rapid data management for many uses, such as facilitating communication of advance care planning (ACP). However, issues with validity and accuracy of EHRs hinder the use of ACP information for practical applications. Design: We present a cross-sectional pilot study of 433 older adults with cancer from three large health care systems, participating in an ongoing multisite pragmatic trial (4UH3AG060626-02). We compared data extracted from dedicated structured EHR fields for ACP to a chart review of corresponding ACP documentation contained in the medical chart. Results: Structured ACP data existed for 43.2% of patients and varied by site (25.7% -48.9%). Of the identified structured ACP data elements, 59.2% of recorded elements were correct, 23.7% were incorrect, and 17.1% were duplicates with heterogeneity across sites. Conclusion: Structured ACP data in EHRs were frequently incorrect. This represents a problem for patients and their families, as well as quality improvement and research efforts. Clinical Trials Registration: NCT03609177.