Citations

AbstractTo address the current and long‐term unmet health needs of the growing population of non‐Hodgkin lymphoma (NHL) patients, we established the Lymphoma Epidemiology of Outcomes (LEO) cohort study (NCT02736357; https://leocohort.org/). A total of 7735 newly diagnosed patients aged 18 years and older with NHL were prospectively enrolled from 7/1/2015 to 5/31/2020 at 8 academic centers in the United States. The median age at diagnosis was 62 years (range, 18–99). Participants came from 49 US states and included 538 Black/African‐Americans (AA), 822 Hispanics (regardless of race), 3386 women, 716 age <40 years, and 1513 rural residents. At study baseline, we abstracted clinical, pathology, and treatment data; banked serum/plasma (N = 5883, 76.0%) and germline DNA (N = 5465, 70.7%); constructed tissue microarrays for four major NHL subtypes (N = 1189); and collected quality of life (N = 5281, 68.3%) and epidemiologic risk factor (N = 4489, 58.0%) data. Through August 2022, there were 1492 deaths. Compared to population‐based SEER data (2015–2019), LEO participants had a similar distribution of gender, AA race, Hispanic ethnicity, and NHL subtype, while LEO was underrepresented for patients who were Asian and aged 80 years and above. Observed overall survival rates for LEO at 1 and 2 years were similar to population‐based SEER rates for indolent B‐cell (follicular and marginal zone) and T‐cell lymphomas, but were 10%–15% higher than SEER rates for aggressive B‐cell subtypes (diffuse large B‐cell and mantle cell). The LEO cohort is a robust and comprehensive national resource to address the role of clinical, tumor, host genetic, epidemiologic, and other biologic factors in NHL prognosis and survivorship.

Abstract Background Financial management is one of the most cited sources of stress among caregivers. Legal planning presents additional challenges. Only a small percentage of dementia caregivers report successfully completing necessary planning. Further, persons with dementia are vulnerable to fraud, scam, and inappropriate financial transactions. With stakeholder participation, we explored a novel solution using state‐of‐the‐art technology aimed to overcome impediments that have plagued prior legal and financial planning resources. Method 18 stakeholders from 10 organizations across the U.S. serving persons with dementia and caregivers participated in two 60 to 90‐minute semi‐structured interviews that were recorded and transcribed. Qualitative stakeholder input was collected through an iterative process. During initial interviews, a mockup was shared to elicit feedback. There was a 3‐month wait after the first interviews to incorporate recommendations into the evolving prototype. During the second round of interviews, stakeholders evaluated the prototype progress based on feedback they previously provided. Stakeholders then completed an electronic survey to assess their overall confidence in the value of the future tool. A phase 1 prototype was designed using Adobe XD. Stakeholders influenced the content, layout, colors, and images with goals of clarity, usability, legibility, and simplicity. Included are a ‘how the tool works’ section; a wizard that guides users through a topic by asking questions, responding appropriately, a prioritized to‐do list; a chatbot; and a dashboard for viewing progress and sharing with selected care partners. Responses to questions were generated by legal and financial experts. Result All 18 stakeholders confirmed that financial management and legal planning are highly stressful for persons with dementia and their families and that there is a need for a tool of this type. 85% of the stakeholders indicated that were extremely satisfied, or very satisfied that the tool would be a beneficial product. Conclusion Results confirmed the need for and utility of an easy‐to‐use tool assisting in legal and financial planning. Phase 2 will incorporate additional content and features along with further review from legal and financial experts. Persons living with dementia and care partners will be included in the testing, evaluation, and further refinement of the technology tool.

Introduction While chimeric antigen receptor (CAR)-T cell therapy has transformed the management of hematologic malignancies, it requires frequent monitoring for acute toxicities, almost universally achieved through mandatory hospitalizations, therefore utilizing a significant amount of healthcare resources. At Mayo Clinic in Rochester, MN, our standard practice is administering CAR-T cell therapy in the outpatient setting through a multi-disciplinary hospital-based outpatient (HBO) unit and remote patient monitoring (RPM) program. Our CAR-T RPM program consists of in-home, electronic health record-integrated technology to monitor vital signs and neurologic symptoms for 30 days post CAR-T infusion. Here we report the healthcare utilization outcomes of CAR-T patients managed in the outpatient setting enrolled in the RPM program. Methods Patients undergoing FDA-approved CAR-T cell treatment in the outpatient setting and participating in the CAR-T RPM program at Mayo Clinic Rochester were included in this IRB-approved study. Patient characteristics, healthcare utilization metrics, inpatient interventions, and patient satisfaction data regarding the RPM program were reviewed. Length of stay (LOS) includes any hospitalizations for which the admission date falls within the RPM monitoring period (CAR-T cell infusion to day +30), even if the hospitalization continued past day +30. Results A total of 123 patients participated in the CAR-T RPM program and underwent treatment in the outpatient setting. Median age at CAR-T infusion was 63 years (range 22 - 83), and most patients were male (n=78, 63%). Non-Hodgkin lymphoma was the most common diagnosis (n=74, 60%), followed by multiple myeloma (n=47, 38%), ALL (n=1, 1%) and other (n=1, 1%). During the PRM monitoring period, 19 (16%) patients were managed entirely in the outpatient setting. The remaining 104 (84%) patients required at least one hospitalization, with most patients (n=70, 57%) hospitalized only once [26 (21%) patients were hospitalized twice, and 7 (6%) patients were hospitalized 3 times, and 1 (1%) patient hospitalized 4 times during the monitoring period]. When considering the first hospitalization post CAR-T infusion, the median LOS was 6 days (range 2 - 47). When considering all hospitalizations post CAR-T, the median LOS was 8 days (range 2 - 47). Only 7 (6%) patients required an ICU stay, with a mean ICU stay of 0.2 days (standard deviation 0.9). Cytokine release syndrome (CRS) was noted in 92 (75%) of patients at a median of 3 days (range 0 - 18) post CAR-T infusion. All patients with CRS received tocilizumab, at a median of 4 days post CAR-T infusion. Steroids for CRS were administered in 63 (68%) of these patients. Neurotoxicity was reported in 45 (37%) patients at a median of 7 days (range 1 - 19) post CAR-T infusion. During the RPM monitoring period, patients were seen in our HBO unit with a median of 18 outpatient visits (range 4 - 30). Patient survey data, obtained at the end of the RPM monitoring period, were available from 37 patients. The majority of patients felt that the RPM program helped them feel comfortable managing their health at home, were able to reach a team member, and receive an appropriate response promptly. The majority of patients felt comfortable using the RPM equipment and interacting with providers virtually. Overall, 83% of patients were satisfied with the RPM program and 6% were neither satisfied nor dissatisfied. When asked about the reason for disappointment, technical difficulties/issues with the devices were the themes mentioned by the few patients (11%) who were unsatisfied with the RPM program. Conclusion: Despite the complexities and frequent monitoring associated with CAR-T cell therapy, outpatient CAR-T cell treatment is a feasible model of care. As the standard practice at our institution, the CAR-T RPM program was part of the management of nearly all patients undergoing an FDA-approved CAR-T product in the outpatient setting. RPM in the acute setting post CAR-T infusion is a well-received practice initiative by the majority of patients, including a high level of comfort utilizing the RPM equipment and virtual interaction with the RPM providers.

Electronic health record (EHR) systems collate patient data, and the integration and standardization of documents through Health Information Exchange (HIE) play a pivotal role in refining patient management. Although the clinical implications of AI in EHR systems have been extensively analyzed, its application in HIE as a crucial source of patient data is less explored. Addressing this gap, our systematic review delves into utilizing AI models in HIE, gauging their predictive prowess and potential limitations. Employing databases such as Scopus, CINAHL, Google Scholar, PubMed/Medline, and Web of Science and adhering to the PRISMA guidelines, we unearthed 1021 publications. Of these, 11 were shortlisted for the final analysis. A noticeable preference for machine learning models in prognosticating clinical results, notably in oncology and cardiac failures, was evident. The metrics displayed AUC values ranging between 61% and 99.91%. Sensitivity metrics spanned from 12% to 96.50%, specificity from 76.30% to 98.80%, positive predictive values varied from 83.70% to 94.10%, and negative predictive values between 94.10% and 99.10%. Despite variations in specific metrics, AI models drawing on HIE data unfailingly showcased commendable predictive proficiency in clinical verdicts, emphasizing the transformative potential of melding AI with HIE. However, variations in sensitivity highlight underlying challenges. As healthcare’s path becomes more enmeshed with AI, a well-rounded, enlightened approach is pivotal to guarantee the delivery of trustworthy and effective AI-augmented healthcare solutions.

AbstractBackgroundTo gather user input iteratively to develop a matching algorithm for peer‐to‐peer support and to assess the feasibility and usability of a web‐based program to conduct matching.Method32 caregivers of persons with dementia (PwD) participated in semi‐structured focus groups and completed surveys to provide input regarding characteristics deemed valuable in someone they would choose to be connected with for emotional support. Through an iterative process as new information emerged, a web‐based prototype and matching algorithm were developed. Caregivers interacted with the prototype and provided feedback indicating ease of accessibility and use, initial impression, and comfort/satisfaction with profile content.ResultAll 32 caregivers (age 40‐90, education 12/GED‐20, sex 88% female, 31% Black/African‐American) completed online profiles. Of those who interacted with the prototype, 23 completed the feedback survey, on which 87% had no or only mild difficulty accessing the site, 91% had no difficulty with technology once there, 86% had a very or quite positive initial impression, 91% found it very or quite easy to navigate, 87% rated a very or quite high level of comfort with completing the personal profile questions, and 82% felt very or quite confident the questions asked would lead to a good match.ConclusionA large majority of caregivers of PwD demonstrated the web‐based platform was easy to access and navigate, provided a positive experience, and gathered information that would lead to a good supportive relationship with another caregiver. Phase II will optimize the design and algorithm and evaluate the matching process in 350 caregivers.

Abstract Background Minimizing blood specimen recollection due to specimen integrity issues is a continuous quality improvement goal in the neonatal intensive care unit (NICU). Specimen integrity issues, such as clotting or hemolysis, are often the result of improper specimen collection processes and lead to blood loss requiring transfusion, additional painful procedures, and delays in patient care. Data collected from Mayo Clinic Hospital - Methodist Campus NICU at Mayo Clinic in Rochester, MN between January – July 2019 showed that clotted complete blood count (CBC) specimens accounted for one-third of rejected neonatal specimens followed by hemolyzed specimens for direct bilirubin (DBIL) testing. The aim of this project was to reduce the percent of CBC and DBIL tests canceled/specimens rejected due to specimen integrity issues in the NICU from 17% to 10% using the Plan-Do-Study-Act methodology. Methods A multidisciplinary quality improvement (QI) team was formed, inclusive of both NICU and laboratory representatives. Bedside direct observations (n=28) were performed by NICU nurses to help identify inconsistencies in the blood collection processes. A total of three Plan-Do-Study-Act (PDSA) cycles were conducted during the 2020-2021 time period. An assessment card was created and revised with each PDSA cycle. The card was completed by the nurse(s) present during the blood collection and initially identified the lab tests ordered, collection tubes, collection type (venipuncture, venous, capillary), number of tube inversions required, staff present during collection, any delays during collection, and whether the draw was deemed successful. Additionally, staff education videos for nursing and laboratory phlebotomy staff were created to demonstrate correct collection tube inversion technique. Results Direct observation identified inconsistent practices in tube inversion during specimen collection. The first PDSA cycle (n=207 collections, April 1 – July 13, 2021) introduced a verbal inversion count and utilization of the assessment card. The following cycle (n=336 collections, July 14 – October 10, 2021) implemented an educational video and modified the assessment card to include start and end time of the draw. The third cycle (n=243 collections, October 11 – November 30, 2021) used a simplified assessment card including patient label, tests ordered, tube type and inversions. The combined rejection rates for CBC and DBIL tests were 4.3%, 3.8% and 2.8% for the 1st, 2nd and 3rd PDSA cycles, respectively. Conclusions Our QI initiative reduced the specimen rejection rate for clotted CBC and hemolyzed DBIL specimens from 17% to 2.8% in the NICU. Interventions focused on improving tube inversion techniques and promoting collaborative relationships between phlebotomists and nursing staff. The use of educational videos and completion of assessment cards during collections were effective at reducing specimen rejection rates.

AbstractBackgroundCaregiving for persons with dementia negatively impacts physical and mental health, including increased risk for chronic loneliness and isolation. This Phase I study aimed to recruit former and current dementia caregivers as engaged partners in the design of a unique, technology‐assisted pairing platform to match caregivers to one another for meaningful connection and support based on characteristics chosen by the caregivers themselves.MethodWe recruited thirty‐two caregivers to participate in two semi‐structured focus groups (audio recorded for qualitative analyses) and complete a survey to understand the characteristics desired in another caregiver for the purpose of emotional support. Participants interacted with a website prototype on their personal device and completed a user experience feedback form. An iterative process was used to design the website and matching questionnaire allowing participants to validate preferences and concerns. Website analytics were captured (e.g. time to answer each question, total time spent on the website).ResultThe efforts culminated in a website ‘look and feel’ that addressed the preferences and criticisms of study participants. Figure 1 shows the home page slider inviting caregivers to join (images 1‐3) and describes the matching process (4); the caregiver answers up to 34 questions to create a profile (5‐7) and the website provides a list of caregivers that best match criteria (8). Overall, 87% of study participants rated a high level of comfort with completing the personal profile questions; 82% felt confident the questions asked would lead to a good match. An algorithm to match caregivers was created using the profile questions which asked participants to self‐select and then rank the characteristics of highest importance. Good and poor matches are scored by the algorithm, with 1 being a “perfect” match (Figure 2). In the current cohort, each participant had at least one match that scored 0.708 or higher.ConclusionOur study established interest in a technology assisted peer‐to‐peer caregiver matching program that is a potential low‐cost, high‐impact resource. The study resulted in a set of matching characteristics and an algorithm prototype within a user influenced website and will be further tested in Phase 2. Research supported from NIA of the NIH.

AbstractBackgroundBlack/African Americans (B/AA) are nearly twice as likely as White/European Americans (W/EA) to have Alzheimer’s or other dementias and are more likely to provide care for persons with dementia (PwD). Evidence indicates that B/AA desire having someone to talk with who understands their caregiving challenges, yet are less likely than W/EA to ask for support. Further, community resources supporting caregivers’ ability to maintain health and well‐being developed with input from B/AA are lacking. We aimed to determine how a technology‐assisted caregiver matching service designed with user input could address diverse caregiver needs.MethodsFor this Phase I project, 32 caregivers of PwD (31% B/AA) participated in semi‐structured focus groups and completed surveys to provide input regarding characteristics deemed valuable in someone they would choose to be connected with for emotional support. Through an iterative process as new information emerged, a web‐based prototype and matching algorithm were developed.ResultsAge and sex distribution were similar between B/AA and W/EA (71 and 68 yrs; 90% and 86%, respectively). W/EA were most likely caring for a spouse/significant other (73%) whereas B/AA were caring for spouse/significant other (30%), a parent (30%;18% W/EA), a sibling (10%; 0% W/EA), or other (30%; 9%W/EA). Level of emotional support was rated “poor” (50% B/AA, 18% W/EA); “average” (0% B/AA, 14% W/EA); “good” (40% B/AA, 41% W/EA); and “excellent” (10%, 27% W/EA). Characteristics B/AA deemed “very important” or “absolutely essential” for a supportive match included living in close proximity, same ethnicity, similar lifestyle, and common values. Alternatively, W/EA selected similar age, living in close proximity, same sex, similar lifestyle, common values and interests, having the same caregiving relationship, and having the same diagnosis in their PwD (see chart).ConclusionIn this cohort, B/AA reported poorer levels of emotional support than W/EA. B/AA were equally likely to be supporting a spouse/significant other as a parent or other acquaintance, whereas W/EA provided support primarily for a spouse/significant other. Characteristics B/AA and W/EA consider important in a supportive caregiver match show important differences that should be considered when optimizing caregiving resources. Phase II will explore further in a much larger sample.

Individuals with dementia with Lewy bodies (DLB) commonly die from dementia-related causes, but little is known regarding caregiver experiences during the end-of-life period in DLB. This reflects a critical knowledge gap given the high frequency of informal caregiving for individuals with dementia, high caregiver burden in DLB, and the fact that most individuals with DLB die from this disease. Investigators conducted telephone interviews with family members of individuals who died with DLB in the last 5 years. Investigators used a qualitative descriptive approach to analyze interview transcripts. Participants included 15 children, 13 spouses, and 2 other family members. Interviews averaged 31 min. Major themes included caregivers as the main drivers of care for individuals with DLB throughout the disease course and at the end of life, the impact of DLB features (e.g., fluctuations, hallucinations, and delusions) on end-of-life experiences, experiences relating to the caregiving role, death and post-death experiences, and supports employed by caregivers in the end-of-life period. End-of-life experiences for caregivers of individuals with DLB built on the accumulated burden of the disease course, where caregivers were often responsible for driving DLB care—from making the diagnosis to educating healthcare professionals and double-checking medical decisions. While some end-of-life experiences were consistent with those described in dementia palliative care more generally (e.g., financial stresses, poor sleep, being overwhelmed, and needing increased education and support), many DLB features specifically affected end-of-life caregiver experiences, such as the presence of delusions. Improving caregiver experiences at the end of life in DLB will require improved diagnosis and care for individuals with DLB throughout the disease course and also better strategies for treating behavioral symptoms. More research is needed regarding drivers of quality end-of-life experiences for individuals with DLB and their families and how drivers and strategies may differ between dementias.