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Background Menopause-related symptoms are common but undertreated. Digital tools that support symptom assessment and patient education may improve engagement. Objective To assess whether a previsit digital menopause symptom assessment and education tool increased treatment initiation and patient engagement compared to an educational pamphlet. Design Women aged 45–55 years with upcoming primary care appointments were invited to participate. Those with a total Menopause Rating Scale (MRS) score ≥5 indicating bothersome menopause symptoms were included. Participants were randomized to a digital menopause symptom assessment tool or a digital educational pamphlet and completed a post-visit survey (NCT06919887). Participants Of the 14,726 women invited to participate between May 12, 2025, and December 5, 2025, there were 653 (4.4%) enrolled that met eligibility criteria. Interventions Randomized to an mHealth app called emmii or a standard digital menopause educational pamphlet. Main measures Menopause treatment initiation within 30 days of the clinical visit was assessed by electronic health data. Baseline and post-visit surveys were collected assessing patient experience, engagement, and perceived usefulness. Rates of menopause hormone therapy (HT) prescribing were compared with a reference population of nonparticipants aged 45–55 who had a primary care appointment at Mayo Clinic during the same period and received no study education materials. Key results Of 653 participants enrolled and randomized, 383 completed both the baseline and post-surveys (171 intervention and 212 control). HT initiation among study participants was significantly higher than in the reference population of women (9.3% vs. 4.4%, p < 0.001). There was no difference in HT initiation between the intervention (9.1%) and control groups (9.6%) ( p = 0.83). Initiation rates were 3.8% and 4.5%, respectively ( p = 0.64) for nonhormone therapies. Conclusions Among women with bothersome menopause symptoms, those who underwent previsit symptom screening and received educational materials had higher rates of HT initiation than women who did not participate in the study. These findings suggest that structured menopause education may improve recognition and management of menopause symptoms in routine clinical practice.

ABSTRACT Purpose To explore the opioid decision‐making process of prescribers in primary care, surgery, and subspecialty pain management. Methods This was a multistage qualitative‐qualitative study with clinicians involved in opioid prescribing and management from a single healthcare organization with locations in Minnesota, Florida, Arizona, and Wisconsin. Clinicians in this study included physicians, nurse practitioners (NPs), and physician assistants (PAs) practicing in primary care, surgery, or pain medicine. The interview guide was organized in three domains of a conceptual model for opioid use: (1) prescriber characteristics, (2) patient characteristics, and (3) practice environment characteristics. Individual interviews ( N = 20) were performed first, and data were summarized using a rapid template‐based approach. Subsequently, focus groups (FGs) ( N = 4) were conducted with an additional 21 clinicians to confirm and explore interview results. Data from interviews and FGs were analyzed using a common codebook. Results Findings were organized as decision factors into the three domains. Factors in the prescriber domain included characteristics such as formal pain management training, as well as factors that influenced knowledge and beliefs (e.g., advice from or observation of supervising clinicians and expert colleagues). Decision factors in the patient domain included patient pain etiology, comorbid medical or mental health conditions, and demographic characteristics. Clinicians' perceptions of these factors, such as viewing older age as having lesser risk for opioid misuse, influenced prescribing decisions. Clinicians also described challenges associated with “legacy patients” whose therapy was previously managed by a different clinician. Primary care clinicians, in particular, expressed difficulties managing post‐surgical or trauma‐related pain after care transition. Relevant decision factors reported by prescribers in the practice environment domain included guidelines and practice oversight. Most participants reported practicing in an environment that promoted conservative opioid use and having access to standardized institutional guidelines that reduced perceived decision‐making burden. Clinicians described how they used prescribing guidelines to help them communicate with patients about opioid use and prescribing decisions. Conclusions Intersecting prescriber, patient, and practice environment factors shape opioid analgesic prescribing decisions. Available resources in the practice environment, including peer input and institutional guidelines, may support clinician decision‐making and conversations with patients at the point of care, including in cases where patients have complex histories or personal characteristics that influence decision making.

Substance use disorders (SUD) remain a significant source of morbidity and mortality in the United States, and access to treatment continues to be inadequate. Primary Care Clinicians (PCCs) are well-positioned to provide long-term SUD care for patients. However, multiple provider-level barriers exist. Collaborative Care Management (CoCM) has proven successful in supporting PCCs in treating psychiatric conditions, such as depression. Our group proposes an addiction-focused modified CoCM that leverages telemedicine and an electronic platform (Senyo) into primary care. This study assesses PCCs’ attitudes toward this proposed model and their likelihood (with support) of prescribing medications for alcohol and opioid use disorder. To achieve this, an anonymized and confidential electronic survey was deployed to all 489 of our institutions’ PCCs. Eighty-five completed the survey (17.4% response); the majority (94%) agreed that digital CoCM for SUD will be helpful for their practice, and 85% expressed agreement that such a model will increase their confidence and likelihood to prescribe anti-craving medications. Additionally, we found that PCCs’ comfort level in addressing SUD with patients is not associated with years in practice, clinician type (attending physicians, resident/fellow physicians, nurse practitioner or physician assistant), or their perception of currently available SUD treatment resources. Future work to evaluate practice changes, including rates of anti-craving medication prescribing and SUD-treatment outcomes after implementation of our digital CoCM will prove useful in determining the effectiveness of this model.

Background Heart failure self‐care can contribute to a high daily workload and treatment burden. The goal of this cohort study was to assess the characteristics and outcomes associated with burden of treatment (BoT). Methods Surveys comprising validated instruments to measure BoT and other constructs were mailed to patients with heart failure in Southeastern Minnesota. Participants were divided into tertiles by BoT scores. Associations of clinical variables with BoT were examined using multinomial logistic regression. Associations of BoT with mortality and hospitalizations were examined using Cox proportional hazard regression and Andersen–Gill models, respectively. Results A total of 609 participants (mean age 76.3 years, 60.3% men, 55.2% urban, 64.3% preserved ejection fraction) completed surveys. Higher BoT was associated with worse health status, more depressive symptoms, lower resilience, less social support, lower medication adherence, and worse health literacy. Mean±SD follow‐up was 14.4 (4.1) months. Estimated 1‐year mortality (8.3% [95% CI, 4.3%–12.1%], 11.0% [95% CI, 6.5%–15.2%], 16.0% [95% CI, 10.8%–21.0%]) and 1‐year mean cumulative hospitalizations (0.57 [95% CI, 0.45–0.72], 0.83 [95% CI, 0.66–1.05], 1.15 [95% CI, 0.93–1.42]) increased across patients reporting low, medium, and high BoT, respectively. Adjustment for health status eliminated any significant association of BoT with risks of death and hospitalization (adjusted hazard ratio [HR], 1.10 [95% CI, 0.58–2.07] and 1.09 [95% CI, 0.74–1.61], respectively, highest versus lowest BoT tertile). Conclusions BoT in heart failure varies by clinical and psychosocial factors. Higher BoT identifies patients at increased risk of adverse health outcomes due to their worse health status. These findings can serve as a foundation for interventions to minimize workload and improve quality of life.

Abstract Rationale: Ongoing healthcare staffing shortages have prompted new care paradigms that incorporate remote care delivery to support timely detection of patient physiological deterioration through mechanisms other than clinician bedside evaluations. In partnership with institutional Information Technology, our team has developed a unique clinical informatics environment, known as the Advanced Medical Practice (AMP) platform, that incorporates data from multiple sources and platforms and supports remote observation of patients from the electronic intensive care unit(eICU). AMP takes advantage of technologies outside of vendor-supported EHRs, and its advanced user-interface design reduces information overload while incorporating real-time data from novel devices and sensors. We partnered with the hospital practice to co-develop a score within the AMP platform(Clinical Events Detection and Response[CEDAR]) that incorporates heart rate, blood pressure, respiratory rate, and SpO2 to stratify patient risk and generate deterioration alerts for the electronic ICU(eICU) team. This formative evaluation employed an implementation science approach to refine CEDAR and ensure it is acceptable to users and can be feasibly implemented in practice. Methods: The study team conducted this pilot work in the eICU at Mayo Clinic (Rochester, MN). We observed the eICU workflow and documented feedback from eICU staff in fieldnotes. eICU staff were asked to log issues in a tracking file during shifts. Issues were reviewed daily and discussed at multidisciplinary team meetings weekly. Observation and tracking data were coded to constructs in the Consolidated Framework for Implementation Research(CFIR 2.0) framework and mapped to Expert Recommendations for Implementation Change(ERIC) strategies that targeted key determinants. Results: Between 9/23/24 and 10/25/24 we completed 25 days of observations. Most identified issues related to technical/design issues like unclear vital trigger alerts (CFIR: Innovation trialability and design); staff knowledge of CEDAR functionality and attitudes about functionality, complexity, or relative advantage compared to current systems (CFIR: Inner setting access to knowledge and information and relative advantage); and difficulties incorporating CEDAR into workflow(CFIR: Inner setting/compatibility). Implementation strategies mapped to CFIR determinants included promoting adaptability of customized interface features; staging implementation scale-up with iterative improvements; providing local technical assistance; assessing for readiness and identifying facilitators and barriers; and conducting educational outreach visits. Conclusions: Formative evaluation during pilot studies are a critical step in the process of intervention development and testing. User engagement and frameworks from implementation science can identify issues of feasibility and inform strategies to ensure acceptability prior to intervention scale-up in clinical practice and readiness for conducting larger implementation studies.

Chronic pain is common with aging. Yet, little is known about the attitudes, beliefs, and experiences of older adults with chronic pain regarding opioids, particularly in regard to effects on daily functioning and cognition. This qualitative analysis employed semi-structured interviews in 25 community-dwelling older adults with chronic pain and current or recent prescription opioid use. Interviews focused on perceptions, beliefs, and experiences of living with chronic pain, use of prescription opioids, and the impact of opioids on pain control, cognition, and daily function. Older adults display adaptability and acceptance in living with chronic pain, desire person-centered pain care, approach the risks-benefits of opioids with regards to cognition differently, and perceive stigma as a barrier to effective partnership with clinicians.

BACKGROUND: Validly measuring disease-specific health status is critical in patients with severe tricuspid regurgitation (TR) to quantify the benefit of different interventions. The Kansas City Cardiomyopathy Questionnaire (KCCQ) has been used to assess health status in patients with severe TR, but its content validity in this patient population is unknown, including whether additional questions are needed to supplement the KCCQ. METHODS: Twenty participants with symptomatic severe TR from 2 midwestern clinical sites were interviewed in 2023 using a semistructured guide. The interview guide addressed symptoms, physical and social functioning, and quality of life concepts of the KCCQ, as well as other potential TR symptoms not represented in the KCCQ. Interview transcripts were analyzed using inductive and deductive coding and content analysis, with additional participants recruited until thematic saturation occurred. RESULTS: Mean age of the participants was 80 (41–89), and 75% were female. Shortness of breath and fatigue were reported by virtually all participants (n=20 and n=19, respectively) and had a marked negative impact on their physical and social functioning and quality of life. Lower limb edema was also reported by 10 participants. Although these concepts are captured by the KCCQ, other symptoms were also reported, including appetite loss (n=8) and upper body edema (n=4), but did not seem to markedly affect participants’ function or quality of life. In addition, all participants who experienced these other symptoms reported symptoms that were already captured by the KCCQ. CONCLUSIONS: All participants experienced symptoms captured by the KCCQ, and these symptoms had a substantial impact on their physical and social functioning and quality of life. Although some participants reported additional symptoms not assessed by the KCCQ, their incorporation would only marginally improve content validity. Thus, the current KCCQ appears to be appropriate for capturing the disease-specific health status of patients with severe TR.

Objective Patients with heart failure (HF) perform a variety of self-care activities to control symptoms and minimise the risk of HF decompensations. The objective of this study was to understand how patients build capacity and manage the work of living with HF. Design A qualitative study using semi-structured telephone interviews. The interview guide was informed by the Cumulative Complexity Model, a conceptual framework that focuses on a patient’s workload and their capacity to manage that work. Interview transcripts were analysed using a mixed inductive and deductive coding approach with organisation into larger thematic categories. Setting Southeastern Minnesota USA (11 counties) with capture of data from local community healthcare providers under the auspices of the Rochester Epidemiology Project. Participants Intentional sampling of local patients with HF (n=24, median age 69.5 years, 54% women, 63% rural, 54% preserved ejection fraction) who reported high treatment burden and/ or poor health status on a questionnaire. Results Three major themes emerged: using capacity to manage workload, disruptions resulting in workload exceeding capacity and regaining workload-capacity balance. Participants described routinising the daily tasks associated with living with HF to minimise the associated burden and identified disruptions to their routines, including hospitalisations, emergency room visits, worsening health status and changes in healthcare access. To accommodate disruptions and regain workload-capacity balance, participants decreased workload and/or transferred tasks to others to maximise capacity. Conclusions Participants with HF described managing patient workload in times of stable health, but they sometimes struggled to accommodate disruptions and worsening health status. These findings can inform the design of interventions to minimise workload, maximise capacity and improve quality of life for patients with HF.

Introduction: Psychological resilience is the ability to adapt to significant adversity. Higher resilience has been associated with better quality of life in HF, but its association with outcomes is not known. Herein, we characterize resilience and its association with outcomes in HF. Research Questions/Hypothesis: Greater resilience is associated with better health status and outcomes in high-risk HF. Methods: In a prospective study, adult residents of 11 counties in Southeastern Minnesota with HF who had been hospitalized with decompensated HF or ventricular arrhythmia (“high-risk HF”) in the preceding 1 year were mailed a survey that included questionnaires to assess resilience (Connor Davidson resilience scale, CD-RISC2), health status (KCCQ-12), and other psychosocial constructs in March 2022. Patients were divided into tertiles by resilience scores, and association with outcomes (survival and hospitalization) were examined using Cox proportional hazard regression and Andersen-Gill models, respectively. Results: Among 649 respondents (mean age 76 ± 11.5 years, 40% women, 64.3% HFpEF), patients with greater resilience were older ( p=0.015 ), had lower BMI ( p=0.003 ) and were more often retired or employed (vs disabled or unemployed, p<0.001 ). Greater resilience was moderately correlated with better health status (r=0.33), social support (r=0.27), and health literacy (r=-0.30); and lower treatment burden (r=-0.42), symptom burden (r=-0.41), and fewer depressive symptoms (r=-0.41) ( p<0.001 for all ). At 1-year follow up, patients with the lowest resilience (lowest tertile) were at a significantly increased risk for HF hospitalizations (adjusted HR 2.09, 95% CI 1.06-4.11) and CV mortality (adjusted HR 1.90, 95% CI 1.01-2.57) compared to those with highest resilience. There was no statistically significant association of resilience with risks of all-cause mortality or all-cause hospitalizations after adjustment ( Figures 1A-D ). Conclusion: Higher resilience is associated with better health status and psychosocial profile. Patients with low resilience are at increased risk for HF hospitalizations and CV mortality. Impact of resilience on long term outcomes and response to interventions must be tested in future studies.