Paul, Margaret M.

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.

Introduction/Objectives The rise in screening for social drivers of health (SDoH) in primary care settings has led to questions about effective intervention design. A large primary care practice at Mayo Clinic developed a model centered on a full-time Health Equity Coordinator (HEC) to facilitate clinic-community partnerships in 2022. The goal of this analysis was to assess the model on process outcomes, resolution of SDoH needs, and changes in healthcare utilization. Methods Using a cohort study design, we identified primary care patients with unmet SDoH needs at the intervention clinic and two comparator clinics from March 2022 to December 2023. We assessed process outcomes descriptively and resolution of SDoH needs and healthcare utilization using multivariable regression. Results The HEC contacted 348 patients and conducted 748 meetings with community-based organization staff. While there were decreases for SDoH needs and missed or late cancelled appointments in intervention group, there were no significant difference in resolution of SDoH and healthcare utilization relative to comparator groups. Conclusions The HEC model for multi-stakeholder coordination showed promise in referring patients to services and engaging key stakeholders in a primary care setting. Longer term follow up may be needed to identify changes in SDoH needs and healthcare utilization.

ABSTRACT Introduction Community health workers (CHWs) help patients navigate community resources. CHW programs can improve health outcomes and reduce healthcare utilization, but identifying eligible patients is challenging. We developed an electronic health record (EHR)‐based algorithm trained to predict referrals to a CHW program. Our objective was to evaluate whether an algorithm trained on historical referrals identifies a subgroup of patients that differs from the subgroup identified through questionnaire‐based health‐related social needs (HRSN) screening alone. Methods This analysis used data from Mayo Clinic primary care patients in Southeast Minnesota. We developed a gradient boosted time‐to‐event model that incorporated demographics, diagnoses, HRSN questionnaire responses, and HRSNs derived from clinical notes using natural language processing. We compared the characteristics of algorithm‐identified patients with those identified through questionnaires and assessed the variable importance of model features. Results The algorithm had AUC: 0.87 in the training and 0.92 in the hold out set. Patients flagged by the algorithm tended to use interpreter services more commonly (12.6% vs. 1.3%), have a non‐English preferred language (14.1% vs. 2.3%), and have more instances of health literacy documented (5.36 vs. 1.29) compared to patients identified by the HRSN questionnaire. Only 47.0% of patients flagged by the algorithm had responded to the HRSN questionnaire within 2 years. Variable importance was highest for health literacy and financial strain from unstructured notes. Conclusions The algorithm is a chart‐review prioritization tool for referral to the CHW program for patients that may overcome challenges to identifying patients with HRSNs, especially when questionnaire data is incomplete.

Introduction Video visits in primary care have decreased significantly since their surge early in the COVID-19 pandemic. Methods Clinicians including physicians, nurse practitioners, and physician assistants in the Mayo Clinic Department of Family Medicine were invited to dedicate one to two half-days per month exclusively to video visits. Schedules for these half-day sessions remained restricted to video appointments until the day prior. If at least 80% of slots were not filled by then, remaining openings were converted to in-person visits. If the half-day sessions were at least 80% full with video visits, clinicians had the option of performing these sessions remotely. Results Of 155 eligible clinicians, 34 (22%) participated voluntarily in this scheduling intervention. For the participating clinicians, the average video visit rate increased from 6.3% per month preintervention to 11.5% postintervention ( p < 0.001). On a departmental level, the trend line for the percent of outpatient visits via video visit was decreasing by −0.1% per month preintervention. The postintervention slope of the trend line was 0.3% per month ( p < 0.001). The majority (65%) of the time the half-day video visit schedules filled at least 80% and did not require conversion to allow in-person visits allowing clinicians to work remotely if they chose. Conclusion Allowing family medicine clinicians to perform 1–2 half-day schedules dedicated to only video visits increases the percentage of video visit performed per month both for individual clinicians and on a departmental level.

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.

INTRODUCTION: Ongoing surveillance after successful endoscopic eradication therapy for Barrett's esophagus (BE)-related neoplasia is essential to detect and manage recurrence. Despite established surveillance interval recommendations after complete eradication of intestinal metaplasia (CE-IM), patient compliance with repeat endoscopy is frequently suboptimal. Understanding patient drivers to adherence is essential to inform interventions that address the high rates of overdue surveillance and loss to follow-up. METHODS: Patients with BE-related neoplasia who achieved CE-IM were eligible for inclusion and classified as delayed or on-time for endoscopic surveillance. Patients were prospectively enrolled and participated in structured virtual interviews designed to explore barriers and facilitators to on-time care. A rapid qualitative analysis approach was applied, continuing until thematic saturation was reached. RESULTS: Thirty-nine patients were interviewed: 22 (56.4%) were delayed, and 17 (43.6%) were on-time for surveillance. Patients in the delayed group had longer mean BE segment lengths and a higher prevalence of tobacco use. Geographic distance from the treatment center was the most frequently cited barrier to follow-up (n = 17; 43.5%). Other common barriers were access limitations, financial concerns, misunderstanding of disease course, and test-related anxiety. DISCUSSION: Patient-related drivers of delay in postendoscopic eradication therapy surveillance are largely logistical, socioeconomical, and psychological in nature. Solutions to reduce the significant burden on the patient and achieve timely surveillance may include transitioning patients back to their local endoscopists after CE-IM or incorporating nonendoscopic surveillance methods through patient centered approaches.

Qualitative interviews and focus groups are commonly used methods to elicit participants’ voices in program evaluations. However, the use of these data-gathering methods can fall short of the goal; even with open-ended questions, the protocols guiding and shaping interviews and focus groups heavily reflect the evaluators’ understanding and experience of the program or intervention under consideration and its target population(s). In this paper, we describe three cases that employed a method of inquiry that is underutilized in evaluation but one that we believe holds great potential as a method to enhance interpersonal reflexivity, namely participant-generated photo-elicitation interviewing (PEI). Across three diverse settings and interventions, we readily added participant-generated PEI to our mixed methods evaluations. We found participant-generated PEI to add great value to the evaluations by complementing our other data collection methods, allowing for greater participant voice, challenging evaluators’ assumptions, enhancing dissemination efforts, and fostering our reflexivity.

Abstract On June 1, 2020, NYC Health + Hospitals, in partnership with the NYC Department of Health and Mental Hygiene, other city agencies, and a large network of community partners, launched the New York City Test & Trace (T2) COVID-19 response program to identify and isolate cases, reduce transmission through contact tracing, and provide support to residents during isolation or quarantine periods. In this paper, we describe lessons learned with respect to planning and implemention of case notification and contact tracing. Our findings are based on extensive document review and analysis of 74 key informant interviews with T2 leadership and frontline staff, cases, and contacts conducted between January and September 2022. Interviews elicited respondent background, history of program development, program leadership and structure, goals of the program, program evolution, staffing, data systems, elements of community engagement, trust with community, program reach, timeliness, equity, general barriers and challenges, general facilitators and best practices, and recommendations/improvement for the program. Facilitators and barriers revealed in the interviews primarily revolved around hiring and managing staff, data and technology, and quality of interactions with the public. Based on these facilitators and barriers, we identify suggestions to support effective planning and response for future case notification and contact tracing programs, including recommendations for planning during latent periods, case management and data systems, and processes for outreach to cases and contacts.

Abstract Background Endocrine ECHO (Extension for Community Healthcare Outcomes) is a scalable model of healthcare education that extends enhanced training through ongoing telementoring of community primary care providers (PCPs) by a team of specialists. The purpose of this study was to assess whether patients of providers engaged in the Endocrine ECHO program (Endo ECHO) exhibited improvements in lifestyle, and self-management behaviors. Methods A sample of 533 adult Endo ECHO patients diagnosed with type 1 or complex type 2 diabetes (insulin dependent and/or with an HbA1c of 9% or higher) took a comprehensive survey during Endo ECHO study enrollment (pre-test) and again after at least one year past their first exposure to the intervention (post-test). We assessed pre/post changes in patient-reported outcomes on well-being, lifestyle, and self-management behaviors using McNemar’s tests for paired data. Results A broad array of patients’ self-reported well-being, lifestyle, and self-management behaviors improved over the course of their engagement in the Endo ECHO program. Despite relatively low average health literacy and numeracy, patients’ confidence and self-efficacy to manage their disease also improved significantly from pre-test to post-test. Discussion Endo ECHO may be an effective means of enhancing primary care for individuals with type 1 and complex type 2 diabetes and improving patient capacity to perform the extensive array of lifestyle and self-care behaviors necessary to effectively manage their diabetes outside of the clinical setting. Conclusions The ECHO model of care has been shown to improve provider and satisfaction, quality of care, and in some cases clinical outcomes across various program areas. This study indicates that endocrinology-focused ECHO programs may also lead to behavior changes among patients in between visits to their provider. Further research should examine the impact of the ECHO model on patient behavior.