Garrison, Gregory M

Introduction/Objectives: Little is known about the prevalence of patient-reported social risk factors and the use of the HOUSES Index, a simple, reliable method of assessing socioeconomic status (SES) based on publicly available housing data, in a predominantly rural, primary care population. Methods: We conducted a cross-sectional analysis of adult patients paneled to family medicine clinicians in a US Midwest health system as of December 31, 2022. Patients’ listed address determined HOUSES Index as quartile rank (Q1 lowest SES) and rural/urban status. Social risk data including housing, food, transportation, finances, and violence were collected from health record questionnaires. A mixed effect model was used to assess associations between social risk, HOUSES Index, and rurality. Results: Of the 352 355 patients included, rural patients were more likely than urban patients to report all social risk factors and had lower SES as measured by HOUSES quartiles. In the mixed effects analysis, HOUSES quartile was independently predictive of reporting an at-risk social risk factor (Q1 vs Q4 OR = 2.27, 95% CI = 2.19-2.37), but rurality was not (OR = 1.02, 95% CI = 0.97-1.07) after adjusting for HOUSES. Conclusions: The increased prevalence of social risk factors among rural residents is largely explained by individual SES measured by HOUSES Index.

Low back pain is the most common musculoskeletal complaint accounting for over 30 million visits to primary care physicians annually. Serious pathology is found in less than 1% of these visits. Therefore it is often a challenge to distinguish worrisome findings requiring further workup and treatment from common complaints of pain. Gout is an inflammatory arthritis that most commonly affects the appendicular skeleton. It is characterized by the saturation of uric acid and deposition of monosodium urate crystals in joints and tissues. Spinal involvement is rare and is not typically considered on the differential diagnosis for a patient presenting with acute low back pain. We present such a case of a 35-year-old male who presented with intractable back pain, highlighting the need to recognize signs and symptoms that raise suspicion for spinal gout.

Background Self-scheduling of medical visits is becoming more common but the complexity of applying multiple requirements for self-scheduling has hampered implementation. Mayo Clinic implemented self-scheduling in 2019 and has been increasing its portfolio of self-schedulable visits since then. Our aim was to show measures quantifying the complexity associated with medical visit scheduling and to describe how opportunities and challenges of scheduling complexity apply in self-scheduling. Methods We examined scheduled visits from January 1, 2022, through August 24, 2023. For seven visit categories, we counted all unique visit types that were scheduled, for both staff-scheduled and self-scheduled. We examined counts of self-scheduled visit types to identify those with highest uptake during the study period. Results There were 9555 unique visit types associated with 20.8 M (million) completed visits. Self-scheduled visit types accounted for 4.0% (838,592/20,769,699) of the completed total visits. Of seven visit categories, self-scheduled established patient visits, testing visits, and procedure visits accounted for 93.5% (784,375/838,592) of all self-scheduled visits. Established patient visits in primary care (10 visit types) accounted for 273,007 (32.6%) of all self-scheduled visits. Testing visits (blood and urine testing, 2 visit types) accounted for 183,870 (21.9%) of all self-scheduled visits. Procedure visits for screening mammograms, bone mineral density, and immunizations (8 visit types) accounted for 147,358 (17.6%) of all self-scheduled visits. Conclusion Large numbers of unique visit types comprise a major challenge for self-scheduling. Some visit types are more suitable for self-scheduling. Guideline-based procedure visits such as screening mammograms, bone mineral density exams, and immunizations are examples of visits that have high volumes and can be standardized for self-scheduling. Established patient visits and laboratory testing visits also can be standardized for self-scheduling. Despite the successes, there remain thousands of specific visit types that may need some staff-scheduler intervention to properly schedule.

Background Self-scheduling of medical visits is becoming available at many medical institutions. We aimed to examine the self-scheduled visit counts and rate of growth of self-scheduled visits in a multispecialty practice. Methods For 85 weeks extending from January 1, 2022 through August 24, 2023, we examined self-scheduled visit counts for over 1500 self-scheduled visit types. We compared completed self-scheduled visit counts to all scheduled completed visit counts for the same visit types. We collected counts of the most frequently self-scheduled visit types for each week and examined the change over time. We also determined the proportion that each visit type was self-scheduled. Results There were 20,769 699 completed visits during the course of the study that met the criteria for inclusion. Self-scheduled visits accounted for 4.0% of all completed visits (838 592/20,769 699). Over the 85-week span, self-scheduled visits rose from 3.0% to 5.3% of the total. There were 1887 unique visit types that were associated with completed visits. There were just 6 appointment visit types of the total 1887 self-scheduled visit types that accounted for 50.7% of the total 838 592 self-scheduled visits. Those 6 visit types were a lab blood test visit (19.5%, 163 K visits), two Family Medicine office visit types (13.0%, 109 K visits), a screening mammogram visit type (6.6%, 55 K visits), a scheduled express care visit type (6%, 50 K visits) and a COVID immunization visit type (5.7%, 48 K visits). Twenty-one visit types that were self-scheduled accounted for 75% of the total self-scheduled visits. Four seasonal visits, accounting for 10.6% of the total self-scheduled visits, were responsible for almost all the non-linear change in self-scheduling. Conclusion Self-scheduling accounted for a small but growing percent of all outpatient scheduled visits in a multispecialty, multisite practice. A wide range of visit types can be successfully self-scheduled.

Anticoagulant-related nephropathy (ARN) is a rare, newly recognized cause of acute kidney injury and significant but underdiagnosed complication of anticoagulation therapy. ARN occurs in patients taking oral anticoagulant therapy most often warfarin or a novel oral anticoagulant (NOAC). It is a potentially devastating disorder with serious renal consequences and increased all-cause mortality. Anticoagulant-related nephropathy presents as an acute kidney injury (AKI) in the setting of a supratherapeutic INR with profuse glomerular hemorrhage seen as renal tubules filled with red cells and red cell casts on renal biopsy. Being that millions of Americans are on warfarin, a thorough understanding and awareness of the clinical presentation, diagnosis, and therapeutic interventions are crucial to protecting the renal function, lowering all-cause mortality and optimizing treatment. Our goal is to provide education on a newly recognized form of AKI and significant but underdiagnosed complication of anticoagulation therapy.

To examine whether high school student-athletes who experienced more COVID-19 disruptions had increased anxiety, increased dejection, increased anger, decreased excitement, and decreased happiness as measured by the validated Sports Emotion Questionnaire (SEQ). During the COVID-19 pandemic high school student-athletes faced disruptions which resulted in cancelation of competitions, reduced in-person training sessions, and quarantine of athletes. The impact of these disruptions on the mental health and well-being of student-athletes is unknown. An anonymous cross-sectional online survey was electronically distributed to high school student-athletes in one school district during the spring of the 2020 to 21 academic year. Basic demographic questions, sport information, and personal and team disruptions were collected. Multivariate linear regression was used to assess correlation between each emotional domain on the SEQ with independent variables such as personal or teammate quarantines, cancelations, season, sport gender, indoor or outdoor location, and level of competition. 125 surveys were returned representing 28 different sports. Student-athletes who were personally quarantined (22.4%) during their athletic season experienced greater dejection (β = 0.78, P = .003) and greater anger (β = 0.78, P = .005). Those with teammates quarantined (61.6%) experienced more anxiety (β = 0.30, P = .048). Spring sports, which faced fewer restrictions, were associated with less anger (β = −0.48, P = .048). Student-athletes who were directly affected by COVID-19 disruptions experienced increased anxiety, more dejection, and more anger. Public health authorities and school districts should minimize disruptions to athletic participation using established COVID-19 safety protocols to avoid causing harm to athletes’ social-emotional well-being. If athletics must be disrupted, student-athletes should receive wellness support and virtual or remote training options.

This case involves a patient with severe COVID-19 pneumonia and massive pulmonary embolism requiring mechanical ventilation. His clinical course was complicated by delirium likely triggered by his critical illness and failed initial extubation, isolation from family, and escalating fear and desperation. In hopeful preparation for subsequent successful extubation, a unique approach was taken to decrease the risk of panic, delirium, and decompensation leading to reintubation. As a means of orienting him to his treatment pathway and to provide encouragement for continued recovery, an impromptu patient-directed checklist was constructed. The recovery checklist, written in simplified language, outlined the stages of severe illness that the patient had overcome after his emergent intubation. The list also outlined the tasks he needed to complete prior to hospital discharge. Unexpectedly, the checklist received a great deal of engagement from both the patient and medical team and played an important role in this patient’s successful recovery and rehabilitation.

Background: Depression is common in the primary care setting and tobacco use is more prevalent among individuals with depression. Recent research has linked smoking to poorer outcomes of depression treatment. We hypothesized that in adult primary care patients with the diagnosis of depression, current smoking would have a negative impact on clinical outcomes, regardless of treatment type (usual primary care [UC] vs collaborative care management [CCM]). Methods: A retrospective chart review study of 5155 adult primary care patients with depression in a primary care practice in southeast Minnesota was completed. Variables obtained included age, gender, marital status, race, smoking status, initial Patient Health Questionnaire–9 (PHQ-9), and 6-month PHQ-9. Clinical remission (CR) was defined as 6-month PHQ-9 <5. Persistent depressive symptoms (PDS) were defined as PHQ-9 ≥10 at 6 months. Treatment in both CCM and UC were compared. Results: Using intention to treat analysis, depressed smokers treated with CCM were 4.60 times as likely (95% CI 3.24-6.52, P < .001) to reach CR and were significantly less likely to have PDS at 6 months (adjusted odds ratio [AOR] 0.19, 95% CI 0.14-0.25, P < .001) compared with smokers in UC. After a 6-month follow-up, depressed smokers treated with CCM were 1.75 times as likely (95% CI 1.18-2.59, P = .006) to reach CR and were significantly less likely to have PDS (AOR 0.45, 95% CI 0.31-0.64, P < .001) compared with smokers in UC. Conclusions: CCM significantly improved depression outcomes for smokers at 6 months compared with UC. However, in the UC group, smoking outcomes were not statistically different at 6 months for either remission or PDS. Also, nonsmokers in CCM had the best clinical outcomes at 6 months in both achieving clinical remission and reduction of PDS when compared with smokers in UC as the reference group.