Gap in Sexual Dysfunction Management Between Male and Female Patients Seen in Primary Care: An Observational Study.

BACKGROUND: Female sexual dysfunction (FSD), defined as clinically distressing problems with desire, arousal, orgasm, or pain, affects 12% of US women. Despite availability of medications for FSD, primary care physicians (PCPs) report feeling underprepared to manage it. In contrast, erectile dysfunction (ED) is frequently treated in primary care. OBJECTIVE: To describe differences in patterns of FSD and ED diagnosis and management in primary care patients. DESIGN: Retrospective observational study. SUBJECTS: Primary care patients with an incident diagnosis of FSD or ED seen at a large, integrated health system between 2016 and 2022. MAIN MEASURES: Sexual dysfunction management (referral or prescription of a guideline-concordant medication within 3 days of diagnosis), patient characteristics (age, race, insurance type, marital status), and specialty of physician who diagnosed sexual dysfunction. We estimated the odds of FSD and ED management using mixed effects logistic regression in separate models. KEY RESULTS: The sample included 6540 female patients newly diagnosed with FSD and 16,591 male patients newly diagnosed with ED. Twenty-two percent of FSD diagnoses were made by PCPs, and 38% by OB/GYNs. Forty percent of ED diagnoses were made by PCPs and 20% by urologists. Patients with FSD were managed less frequently (33%) than ED patients (41%). The majority of FSD and ED patients who were managed received a medication (96% and 97%, respectively). In the multivariable models, compared to diagnosis by a specialist, diagnosis by a PCP was associated with lower odds of management for FSD patients (aOR, 0.59; 95% CI, 0.51-0.69) and higher odds of management (aOR, 1.52; 95% CI, 1.36-1.64) for ED patients. CONCLUSIONS: Primary care patients with FSD are less likely to receive management if they are diagnosed by a PCP than by an OB/GYN. The opposite was true of ED patients, exposing a gap in the quality of care female patients receive.

Patient Portal Message Volume and Time Spent on the EHR: an Observational Study of Primary Care Clinicians.

BACKGROUND: As patient-initiated messaging rises, identifying variation in message volume and its relationship to clinician workload is essential. OBJECTIVE: To describe the association between variation in message volume over time and time spent on the electronic health record (EHR) outside of scheduled hours. DESIGN: Retrospective cohort study. PARTICIPANTS: Primary care clinicians at Cleveland Clinic Health System. MAIN MEASURES: We categorized clinicians according to their number of quarterly incoming medical advice messages (i.e., message volume) between January 2019 and December 2021 using group-based trajectory modeling. We assessed change in quarterly messages and outpatient visits between October-December 2019 (Q4) and October-December 2021 (Q12). The primary outcome was time outside of scheduled hours spent on the EHR. We used mixed effects logistic regression to describe the association between incoming portal messages and time spent on the EHR by clinician messaging group and at the clinician level. KEY RESULTS: Among the 150 clinicians, 31% were in the low-volume group (206 messages per quarter per clinician), 47% were in the moderate-volume group (505 messages), and 22% were in the high-volume group (840 messages). Mean quarterly messages increased from 340 to 695 (p < 0.001) between Q4 and Q12; mean quarterly outpatient visits fell from 711 to 575 (p = 0.005). While time spent on the EHR outside of scheduled hours increased modestly for all clinicians, this did not significantly differ by message group. Across all clinicians, each additional 10 messages was associated with an average of 12 min per quarter of additional time spent on the EHR (p < 0.001). CONCLUSIONS: Message volume increased substantially over the study period and varied by group. While messages were associated with additional time spent on the EHR outside of scheduled hours, there was no significant difference in time spent on the EHR between the high and low message volume groups.

Association of patient characteristics and insurance type with anti-obesity medications prescribing and fills.

AIM: To characterize factors associated with the receipt of anti-obesity medication (AOM) prescription and fill. MATERIALS AND METHODS: This retrospective cohort study used electronic health records from 1 January 2015 to 30 June 2023, in a large health system in Ohio and Florida. Adults with a body mass index ≥30 kg/m2 who attended ≥1 weight-management programme or had an initial AOM prescription between 1 July 2015 and 31 December 2022, were included. The main measures were a prescription for an AOM (naltrexone-bupropion, orlistat, phentermine-topiramate, liraglutide 3.0 mg and semaglutide 2.4 mg) and an AOM fill during the study follow-up. RESULTS: We identified 50 678 adults, with a mean body mass index of 38 ± 8 kg/m2 and follow-up of 4.7 ± 2.4 years. Only 8.0% of the cohort had AOM prescriptions and 4.4% had filled prescriptions. In the multivariable analyses, being a man, Black, Hispanic and other race/ethnicity (vs. White), Medicaid, traditional Medicare, Medicare Advantage, self-pay and other insurance types (vs. private insurance) and fourth quartile of the area deprivation index (vs. first quartile) were associated with lower odds of a new prescription. Hispanic ethnicity, being a man, Medicaid, traditional Medicare and Medicare Advantage insurance types, liraglutide and orlistat (vs. naltrexone-buproprion) were associated with lower odds of AOM fill, while phentermine-topiramate was associated with higher odds. Among privately insured individuals, the insurance carrier was associated with both the odds of AOM prescription and fill. CONCLUSIONS: Significant disparities exist in access to AOM both at the prescribing stage and getting the prescription filled based on patient characteristics and insurance type.

Healthcare and Social Needs Assessment and Response Quality Among Black Men.

To understand Black men's healthcare and social needs and determine if the resources that healthcare systems offer meet expectations. We surveyed men who had previously participated in at least one Minority Men's Health Fair in Cleveland, Ohio. In this descriptive study, we spoke with men up to three times (i.e., phases) between May and October 2020 by email and/or telephone. Phase 1 was a needs assessment survey. Phase 2 involved outreach to those who identified a need to provide a resource. Phase 3 determined whether the resource met individuals' needs. We described the demographic characteristics of the survey respondents, the percentage of men reporting a need and wanting a resource, and whether the resource resolved their need. Of the 768 men contacted, 275 completed the survey (36% response rate). The majority of respondents were 50-69 years old, identified as Black, and had at least a bachelor's degree. Eighty-five percent reported a need, of which wellness, financial, and healthcare access were among the top-reported needs. Among the men identifying a need, 35% were interested in a resource. Resources that were provided for employment, behavioral health, oral health, vision, or wellness needs were deemed insufficient. A few individuals reported that resources for food/personal hygiene, financial support, health care access, annual health screening, and medication met their needs. Among men with healthcare and social needs, only a fraction were interested in a resource, and fewer reported that the resource met their needs. These results warrant a greater understanding of what constitutes a resolution of healthcare and social needs from patients' perspectives.

Long-term Outcomes of a 1-year Hypertension Quality Improvement Initiative in a Large Health System.

BACKGROUND: Understanding whether practices retain outcomes attained during a quality improvement (QI) initiative can inform resource allocation. OBJECTIVE: We report blood pressure (BP) control and medication intensification in the 3 years after a 2016 QI initiative ended. RESEARCH DESIGN: Retrospective cohort. SUBJECTS: Adults with a diagnosis of hypertension who had a primary care visit in a large-integrated health system between 2015 and 2019. MEASURES: We report BP control (<140/90 mm Hg) at the last reading of each year. We used a multilevel regression to identify the adjusted propensity to receive medication intensification among patients with an elevated BP in the first half of the year. To examine variation, we identified the average predicted probability of control for each practice. Finally, we grouped practices by the proportion of their patients whose BP was controlled in 2016: lowest performing (<75%), middle (≥75%-<85%), and highest performing (≥85%). RESULTS: The dataset contained 184,981 patients. From 2015 to 2019, the percentage of patients in control increased from 74% to 82%. In 2015, 38% of patients with elevated BP received medication intensification. This increased to 44% in 2016 and 50% in 2019. Practices varied in average BP control (from 62% to 91% in 2016 and 68% to 90% in 2019). All but one practice had a substantial increase from 2015 to 2016. Most maintained the gains through 2019. Higher-performing practices were more likely to intensify medications than lower-performing practices. CONCLUSIONS: Most practices maintained gains 3 years after the QI program ended. Low-performing practices should be the focus of QI programs.

Health-Related Social Needs: Which Patients Respond to Screening and Who Receives Resources?

BACKGROUND: Health systems are screening patients for health-related social needs (HRSN) but the optimal approach is unknown. OBJECTIVE: To describe the variation in responding to an HRSN questionnaire delivered via patient portal, and whether referral to and resources provided by social workers differed by response status. DESIGN: Retrospective observational study. PARTICIPANTS: Primary care patients with a visit between June 2020 and January 2022. INTERVENTION: HRSN questionnaire MAIN MEASURES: We identified each patient's index visit (e.g., date of their first questionnaire response for responders or their first visit within the study period for non-responders). Through the EHR, we identified patients' demographic characteristics. We linked the area deprivation index (ADI) to each patient and grouped patients into quintiles. We used multilevel logistic regressions to identify characteristics associated with responding to the questionnaire and, for responders, reporting a need. We also determined if responder status was associated with receiving a social worker referral or receiving a resource. We included patient demographics and ADI quintile as fixed variables and practice site as a random variable. KEY RESULTS: Our study included 386,997 patients, of which 51% completed at least one HRSN questionnaire question. Patients with Medicaid insurance (AOR: 0.62, 95%CI: 0.61, 0.64) and those who lived in higher ADI neighborhoods had lower adjusted odds of responding (AOR: 0.76, 95% CI: 0.75, 0.78 comparing quintile 5 to quintile 1). Of responders, having Medicaid insurance (versus private) increased the adjusted odds of reporting each of the HRSN needs by two- to eightfold (p < 0.01). Patients who completed a questionnaire (versus non-responders) had similar adjusted odds of receiving a referral (AOR: 0.91, 95% CI: 0.80, 1.02) and receiving a resource from a SW (AOR: AOR: 1.18, 95%CI: 0.79, 1.77). CONCLUSION: HRSN questionnaire responses may not accurately represent the needs of patients, especially when delivered solely via patient portal.

Relationship Between Oral Temperature and Bacteremia in Hospitalized Patients.

BACKGROUND: Early recognition and treatment of bacteremia can be lifesaving. Fever is a well-known marker of bacteremia, but the predictive value of temperature has not been fully explored. OBJECTIVE: To describe temperature as a predictor of bacteremia and other infections. DESIGN: Retrospective review of electronic health record data. SETTING: A single healthcare system comprising 13 hospitals in the United States. PATIENTS: Adult medical patients admitted in 2017 or 2018 without malignancy or immunosuppression. MAIN MEASURES: Maximum temperature, bacteremia, influenza and skin and soft tissue (SSTI) infections based on blood cultures and ICD-10 coding. KEY RESULTS: Of 97,174 patients, 1,518 (1.6%) had bacteremia, 1,392 (1.4%) had influenza, and 3,280 (3.3%) had an SSTI. There was no identifiable temperature threshold that provided adequate sensitivity and specificity for bacteremia. Only 45% of patients with bacteremia had a maximum temperature ≥ 100.4˚F (38˚C). Temperature showed a U-shaped relationship with bacteremia with highest risk above 103˚F (39.4˚C). Positive likelihood ratios for influenza and SSTI also increased with temperature but showed a threshold effect at ≥ 101.0 ˚F (38.3˚C). The effect of temperature was similar but blunted for patients aged ≥ 65 years, who frequently lacked fever despite bacteremia. CONCLUSIONS: The majority of bacteremic patients had maximum temperatures below 100.4 ˚F (38.0˚C) and positive likelihood ratios for bacteremia increased with high temperatures above the traditional definition of fever. Efforts to predict bacteremia should incorporate temperature as a continuous variable.

Relationship Between Primary Care Providers' Perceptions of Alcohol Use Disorder And Pharmacotherapy Prescribing Rates.

AIMS: Acamprosate, naltrexone and disulfiram are underprescribed for alcohol use disorder (AUD) with marked variability among primary care providers (PCPs). We aimed to identify differences between high and low prescribers of medications for AUD (MAUD) with regard to knowledge, experiences, prioritization and attitudes. METHODS: We surveyed PCPs from a large healthcare system with at least 20 patients with AUD. Prescribing rates were obtained from the electronic health record (EHR). Survey responses were scored from strongly disagree (1) to strongly agree (5). Multiple imputation was used to generate attitude scores for 7 missing subjects. PCPs were divided into groups by the median prescribing rate and attitude. Comparisons were made using Wilcoxon rank-sum and regression. RESULTS: Of the 182 eligible PCPs, 68 (37.4%) completed the survey. Most indicated willingness to attend an educational course (57.4%). Compared with low prescribers, high prescribers viewed the effectiveness of medications more favorably (short term 4.0 vs 3.7, P = 0.02; long term 3.5 vs 3.2, P = 0.04) and were more likely to view prescribing as part of their job (3.9 vs 3.4, P = 0.04). PCPs with positive attitudes (72.4%, CI 60.9-83.8%) had a prescribing rate of 5.0% (CI 3.5-6.5%) compared to 1.9% (CI 0.5-3.4%) among those with negative attitudes (P = 0.028). When stratified by attitude, belief in effectiveness was associated with higher prescribing among PCPs with positive attitudes but not those with negative attitudes. CONCLUSIONS: PCPs indicated an interest in learning to prescribe MAUD. However, education alone may not be effective unless physicians have positive attitudes towards patients with AUD.

Primary care physician referral practices regarding BRCA1/2 genetic counseling in a major health system.

PURPOSE: The United States Preventive Services Task Force recommends primary care physicians refer patients at high risk for BRCA1/2 mutations to genetic testing when appropriate. The objective of our study was to describe referrals for BRCA1/2 testing in a large integrated health system and to assess factors associated with referral. METHODS: This retrospective cohort study includes female patients between 18 and 50 years who had a primary care visit in the Cleveland Clinic Health System between 2010 and 2019. We used multivariable logistic regression to estimate differences in the odds of a woman being referred for BRCA1/2 testing by patient factors and referring physician specialty. We also assessed variation in referrals by physicians. RESULTS: Among 279,568 women, 5% were high risk. Of those, 22% were referred for testing. Black patients were significantly less likely to be referred than white patients (aOR 0.87; 95% CI 0.77, 0.98) and Jewish patients were more likely to be referred than non-Jewish patients (aOR 2.13; 95% CI 1.68, 2.70). Patients primarily managed by OB/GYN were significantly more likely to be referred than those cared for via Internal/Family Medicine (aOR 1.45; 95% CI 1.30, 1.61). Less than a quarter of primary care physicians ever referred a patient for testing. CONCLUSION: The majority of primary care patients at high risk for a BRCA1/2 mutation were not referred for testing, and over a decade, most physicians never referred a single patient. Internal/Family Medicine physicians, in particular, need support in identifying and referring women who could benefit from testing.

Reduced Cognitive Burden and Increased Focus: A Mixed-methods Study Exploring How Implementing Scribes Impacted Physicians.

BACKGROUND: Understanding how medical scribes impact care delivery can inform decision-makers who must balance the cost of hiring scribes with their contribution to alleviating clinician burden. OBJECTIVE: The objective of this study was to understand how scribes impacted provider efficiency and satisfaction. DESIGN: This was mixed-methods study. PARTICIPANTS: Internal and family medicine clinicians were included. MEASURES: We administered structured surveys and conducted unstructured interviews with clinicians who adopted scribes. We collected average days to close charts and quantity of after-hours clinical work in the 6 months before and after implementation using electronic health record data. We conducted a difference in difference (DID) analysis using a multilevel Poisson regression. RESULTS: Three themes emerged from the interviews: (1) charting time is less after training; (2) clinicians wanted to continue working with scribes; and (3) scribes did not reduce the overall inbox burden. In the 6-month survey, 76% of clinicians endorsed that working with a scribe improved work satisfaction versus 50% at 1 month. After implementation, days to chart closure decreased [DID=0.38 fewer days; 95% confidence interval (CI): -0.61, -0.15] the average minutes worked after hours on clinic days decreased (DID=-11.5 min/d; 95% CI: -13.1, -9.9) as did minutes worked on nonclinical days (DID=-24.9 min/d; 95% CI: -28.1, -21.7). CONCLUSIONS: Working with scribes was associated with reduced time to close charts and reduced time using the electronic health record, markers of efficiency. Increased satisfaction accrued once scribes had experience.