Antibiotics on Demand: Advances in Asynchronous Telemedicine Call for Increased Antibiotic Surveillance.

The rapid growth of telehealth services has brought about direct-to-consumer telemedicine platforms, enabling patients to request antibiotics online without a virtual or face-to-face consultation. While telemedicine aims to enhance accessibility, this trend raises significant concerns regarding appropriate antimicrobial use and patient safety. In this viewpoint, we share our first-hand experience with 2 direct-to-consumer platforms, where we intentionally sought inappropriate antibiotic prescriptions for nonspecific symptoms strongly indicative of a viral upper respiratory infection. Despite the lack of clear necessity, requested antibiotic prescriptions were readily transmitted to our local pharmacy following a simple monetary transaction. The effortless acquisition of patient-selected antibiotics online, devoid of personal interactions or consultations, underscores the urgent imperative for intensified antimicrobial stewardship initiatives led by state and national public health organizations in telehealth settings. By augmenting oversight and regulation, we can ensure the responsible and judicious use of antibiotics, safeguard patient well-being, and preserve the efficacy of these vital medications.

Renoprotective Effects of Metabolic Surgery Versus GLP1 Receptor Agonists on Progression of Kidney Impairment in Patients with Established Kidney Disease.

OBJECTIVE: To examine the renoprotective effects of metabolic surgery in patients with established chronic kidney disease (CKD). BACKGROUND: The impact of metabolic surgery compared with glucagon-like peptide-1 receptor agonists (GLP-1RA) in patients with established CKD has not been fully characterized. METHODS: Patients with obesity (BMI ≥30 kg/m2), type 2 diabetes (T2DM), and baseline estimated glomerular filtration rate (eGFR) 20-60 mL/min/1.73 m² who underwent metabolic bariatric surgery at a large U.S. health system (2010-2017) were compared with nonsurgical patients who continuously received GLP-1RA. The primary end point was CKD progression, defined as decline of eGFR by ≥50% or to <15 mL/min/1.73 m2, initiation of dialysis, or kidney transplant. The secondary end point was the incident kidney failure (eGFR <15 mL/min/1.73 m2, dialysis, or kidney transplant) or all-cause mortality. RESULTS: 425 patients, including 183 patients in the metabolic surgery group and 242 patients in the GLP-1RA group, with a median follow-up of 5.8 years (IQR, 4.4-7.6) were analyzed. The cumulative incidence of the primary end point at 8-years was 21.7% (95% CI, 12.2-30.6) in the surgical group and 45.1% (95% CI, 27.7-58.4) in the nonsurgical group, with an adjusted hazard ratio of 0.40 (95% CI, 0.21-0.76), P=0.006. The cumulative incidence of the secondary composite end point at 8-years was 24.0% (95% CI, 14.1-33.2) in the surgical group and 43.8% (95% CI, 28.1-56.1) in the nonsurgical group, with an adjusted HR of 0.56 (95% CI, 0.31-0.99), P=0.048. CONCLUSIONS: Among patients with T2DM, obesity, and established CKD, metabolic surgery, compared with GLP-1RA, was significantly associated with a 60% lower risk of progression of kidney impairment and a 44% lower risk of kidney failure or death. Metabolic surgery should be considered as a therapeutic option for patients with CKD and obesity.

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.

Clinician use of the Statin Choice Shared Decision-making Encounter Tool in a Major Health System.

BACKGROUND: Effective shared decision-making (SDM) tools for use during clinical encounters are available, but, outside of study settings, little is known about clinician use of these tools in practice. OBJECTIVE: To describe real-world use of an SDM encounter tool for statin prescribing, Statin Choice, embedded into the workflow of an electronic health record. DESIGN: Cross-sectional study. PARTICIPANTS: Clinicians and their statin-eligible patients who had outpatient encounters between January 2020 and June 2021 in Cleveland Clinic Health System. MAIN MEASURES: Clinician use of Statin Choice was recorded within the Epic record system. We categorized each patient's 10-year atherosclerotic cardiovascular disease risk into low (< 5%), borderline (5-7.5%), intermediate (7.5-20%), and high (≥ 20%). Other patient factors included age, sex, insurance, and race. We used mixed effects logistic regression to assess the odds of using Statin Choice for statin-eligible patients, accounting for clustering by clinician and site. We generated a residual intraclass correlation coefficient (ICC) to characterize the impact of the clinician on Statin Choice use. KEY RESULTS: Statin Choice was used in 7% of 68,505 eligible patients. Of 1047 clinicians, 48% used Statin Choice with ≥ 1 patient, and these clinicians used it with a median 9% of their patients (interquartile range: 3-22%). In the mixed effects logistic regression model, patient age (adjusted OR per year: 1.04; 95%CI 1.03-1.04) and 10-year ASVCD risk (aOR for 5-7.5% versus < 5% risk: 1.28; 95%CI: 1.14-1.44) were associated with use of Statin Choice. Black versus White race was associated with a lower odds of Statin Choice use (aOR: 0.83; 95%CI: 0.73-0.95), as was female versus male sex (aOR: 0.83; 95%CI: 0.76-0.90). The model ICC demonstrated that 53% of the variation in use of Statin Choice was clinician-driven. CONCLUSIONS: Patient factors, including race and sex, were associated with clinician use of Statin Choice; half the variation in use was attributable to individual clinicians.

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.

Associations between Present-on-Admission Do-Not-Resuscitate Orders and Short-Term Outcomes in Patients with Pneumonia.

OBJECTIVES: Do-not-resuscitate (DNR) orders are used to express patient preferences for cardiopulmonary resuscitation. This study examined whether early DNR orders are associated with differences in treatments and outcomes among patients hospitalized with pneumonia. METHODS: This is a retrospective cohort study of 768,015 adult patients hospitalized with pneumonia from 2010 to 2015 in 646 US hospitals. The exposure was DNR orders present on admission. Secondary analyses stratified patients by predicted in-hospital mortality. Main outcomes included in-hospital mortality, length of stay, cost, intensive care admission, invasive mechanical ventilation, noninvasive ventilation, vasopressors, and dialysis initiation. RESULTS: Of 768,015 patients, 94,155 (12.3%) had an early DNR order. Compared with those without, patients with DNR orders were older (mean age 80.1 ± 10.6 years vs 67.8 ± 16.4 years), with higher comorbidity burden, intensive care use (31.6% vs 30.6%), and in-hospital mortality (28.2% vs 8.5%). After adjustment via propensity score weighting, these patients had higher mortality (odds ratio [OR] 2.39, 95% confidence interval [CI] 2.33-2.45) and lower use of intensive therapies such as vasopressors (OR 0.83, 95% CI 0.81-0.85) and invasive mechanical ventilation (OR 0.68, 95% CI 0.66-0.70). Although there was little relationship between predicted mortality and DNR orders, among those with highest predicted mortality, DNR orders were associated with lower intensive care use compared with those without (66.7% vs 80.8%). CONCLUSIONS: Patients with early DNR orders have higher in-hospital mortality rates than those without, but often receive intensive care. These orders have the most impact on the care of patients with the highest mortality risk.

Protection Conferred by Delta and BA.1/BA.2 Infection Against BA.4/BA.5 Infection and Hospitalization: A Retrospective Cohort Study.

BACKGROUND: Severe acute respiratory syndrome coronavirus 2 immunity has declined with subsequent waves and accrual of viral mutations. In vitro studies raise concern for immune escape by BA.4/BA.5, and a study in Qatar showed moderate protection, but these findings have yet to be reproduced. METHODS: This retrospective cohort study included individuals tested for coronavirus disease 2019 by polymerase chain reaction during Delta or BA.1/BA.2 and retested during BA.4/BA.5. The preventable fraction (PF) was calculated as ratio of the infection to the hospitalization rate for initially positive patients divided by the ratio for initially negative patients, stratified by age and adjusted for age, sex, comorbid conditions, and vaccination using logistic regression. RESULTS: A total of 20 987 patients met inclusion criteria. Prior Delta infection provided no protection against BA.4/BA.5 infection (adjusted PF, 11.9% [95% confidence interval, .8%-21.8%]); P = .04) and minimal protection against hospitalization (10.7% [4.9%-21.7%]; P = .003). In adjusted models, prior BA.1/BA.2 infection provided 45.9% (95% confidence interval, 36.2%-54.1%; P < .001) protection against BA.4/BA.5 reinfection and 18.8% (10.3%-28.3%; (P < .001) protection against hospitalization. Up-to-date vaccination provided modest protection against reinfection with BA.4/BA.5 and hospitalization. CONCLUSIONS: Prior infection with BA.1/BA.2 and up-to-date vaccination provided modest protection against infection with BA.4/BA.5 and hospitalization, while prior Delta infection provided minimal protection against hospitalization and none against infection.

Protection Against the Omicron Variant Offered by Previous Severe Acute Respiratory Syndrome Coronavirus 2 Infection: A Retrospective Cohort Study.

BACKGROUND: Previous infection with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) provides strong protection against future infection. There is limited evidence on whether such protection extends to the Omicron variant. METHODS: This retrospective cohort study included 635 341 patients tested for SARS-CoV-2 via polymerase chain reaction from 9 March 2020 to 1 March 2022. Patients were analyzed according to the wave in which they were initially infected. The primary outcome was reinfection during the Omicron period (20 December 2021-1 March 2022). We used a multivariable model to assess the effects of prior infection and vaccination on hospitalization. RESULTS: Among the patients tested during the Omicron wave, 30.6% tested positive. Protection of prior infection against reinfection with Omicron ranged from 18.0% (95% confidence interval [CI], 13.0-22.7) for patients infected in wave 1 to 69.2% (95% CI, 63.4-74.1) for those infected in the Delta wave. In adjusted models, previous infection reduced hospitalization by 28.5% (95% CI, 19.1-36.7), whereas full vaccination plus a booster reduced it by 59.2% (95% CI, 54.8-63.1). CONCLUSIONS: Previous infection offered less protection against Omicron than was observed in past waves. Immunity against future waves will likely depend on the degree of similarity between variants.

Intravenous to Oral Antibiotic Switch Therapy Among Patients Hospitalized With Community-Acquired Pneumonia.

BACKGROUND: Community-acquired pneumonia (CAP) is a leading cause of hospital admissions and antimicrobial use. Clinical practice guidelines recommend switching from intravenous (IV) to oral antibiotics once patients are clinically stable. METHODS: We conducted a retrospective cohort study of adults admitted with CAP and initially treated with IV antibiotics at 642 US hospitals from 2010 through 2015. Switching was defined as discontinuation of IV and initiation of oral antibiotics without interrupting therapy. Patients switched by hospital day 3 were considered early switchers. We compared length of stay (LOS), in-hospital 14-day mortality, late deterioration (intensive care unit [ICU] transfer), and hospital costs between early switchers and others, controlling for hospital characteristics, patient demographics, comorbidities, initial treatments, and predicted mortality. RESULTS: Of 378 041 CAP patients, 21 784 (6%) were switched early, most frequently to fluoroquinolones. Patients switched early had fewer days on IV antibiotics, shorter duration of inpatient antibiotic treatment, shorter LOS, and lower hospitalization costs, but no significant excesses in 14-day in-hospital mortality or late ICU admission. Patients at a higher mortality risk were less likely to be switched. However, even in hospitals with relatively high switch rates, <15% of very low-risk patients were switched early. CONCLUSIONS: Although early switching was not associated with worse outcomes and was associated with shorter LOS and fewer days on antibiotics, it occurred infrequently. Even in hospitals with high switch rates, <15% of very low-risk patients were switched early. Our findings suggest that many more patients could be switched early without compromising outcomes.

Disease State Transition Probabilities Across the Spectrum of NAFLD: A Systematic Review and Meta-Analysis of Paired Biopsy or Imaging Studies.

BACKGROUND & AIMS: We conducted a meta-analysis to summarize the rates of progression to and regression of nonalcoholic fatty liver (NAFL), nonalcoholic steatohepatitis (NASH), and fibrosis in adults with nonalcoholic fatty liver disease (NAFLD). METHODS: We searched PubMed/Medline and 4 other databases from 1985 through 2020. We included observational studies and randomized controlled trials in any language that used liver biopsy or imaging to diagnose NAFLD in adults with a follow-up period ≥48 weeks. Rates were calculated as incident cases per 100 person-years and pooled using the random-effects Poisson distribution model. Heterogeneity was assessed using the I2 statistic. RESULTS: We screened 9744 articles and included 54 studies involving 26,738 patients. Among observational studies, 20% of healthy adults developed NAFL (incidence rate, 4.8/100 person-years) while 21% of people with fatty liver had resolution of NAFL (incidence rate, 2.4/100 person-years) after a median of approximately 4.5 years. In addition, 31% of patients developed NASH after 4.7 years (incidence rate, 7.4/100 person-years), whereas in 29% of those with NASH, resolution occurred after a median of 3.5 years (incidence rate, 5.1/100 person-years). Time to progress by 1 fibrosis stage was 9.9, 10.3, 13.3, and 22.2 years for F0, F1, F2, and F3, respectively. Time to regress by 1 stage was 21.3, 12.5, 20.4, and 40.0 years for F4, F3, F2, and F1, respectively. Rates estimated from randomized controlled trials were higher than those from observational studies. CONCLUSIONS: In our meta-analysis, progression to NASH was more common than regression from NASH. Rates of fibrosis progression were similar across baseline stage, but patients with advanced fibrosis were more likely to regress than those with mild fibrosis.

The Natural History of Asymptomatic Gallstones: A Longitudinal Study and Prediction Model.

BACKGROUND & AIMS: Despite the high prevalence of asymptomatic gallstones (AGs), there are limited data on their natural history. We aimed to determine the rate of symptom development in a contemporary population, determine factors associated with progression to symptomatic gallstones (SGs), and develop a clinical prediction model. METHODS: We used a retrospective cohort design. The time to first SG was shown using Kaplan-Meier curves. Multivariable competing risk (death) regression analysis was used to identify variables associated with SGs. A prediction model for the development of SGs after 10 years was generated and calibration curves were plotted. Participants were patients with AGs based on ultrasound or computed tomography from the general medical population. RESULTS: From 1996 to 2016, 22,257 patients (51% female) with AGs were identified; 14.5% developed SG with a median follow-up period of 4.6 years. The cumulative incidence was 10.1% (±0.22%) at 5 years, 21.5% (±0.39%) at 10 years, and 32.6% (±0.83%) at 15 years. In a multivariable model, the strongest predictors of developing SGs were female gender (hazard ratio [HR], 1.50; 95% CI, 1.39-1.61), younger age (HR per 5 years, 1.15; 95% CI, 1.14-1.16), multiple stones (HR, 2.42; 95% CI, 2.25-2.61), gallbladder polyps (HR, 2.55; 95% CI, 2.14-3.05), large stones (HR, 2.03; 95% CI, 1.80-2.29), and chronic hemolytic anemia (HR, 1.90; 95% CI, 1.33-2.72). The model showed good discrimination (C-statistic, 0.70) and calibration. CONCLUSIONS: In general medical patients with AGs, symptoms developed at approximately 2% per year. A predictive model with good calibration could be used to inform patients of their risk of SGs.

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.

Trends in Use of High-Cost Antihyperglycemic Drugs Among US Adults with Type 2 Diabetes.

BACKGROUND: Some antihyperglycemic drugs can reduce cardiovascular events, slow the progression of kidney disease, and prevent death, but they are more expensive than older drugs. OBJECTIVES: (1) To estimate trends in use of antihyperglycemic drugs by cost; (2) to examine use of high-cost drugs by race/ethnicity, income, and insurance status DESIGN: Cross-sectional analysis of the 2003-2018 National Health and Nutrition Examination Survey PARTICIPANTS: US adults ≥18 years with type 2 diabetes EXPOSURES: Race/ethnicity, income, and insurance status MAIN MEASURES: Low-cost noninsulin medications included any drugs that had at least one generic version approved by the Food and Drug Administration. Human regular, NPH, and premixed NPH/regular 70/30 insulins were classified as low-cost. All other noninsulin medications and insulins were considered high-cost KEY RESULTS: The sample included 7,394 patients. Prevalence of use of low-cost noninsulin drugs increased from 37% in 2003-2004 to 52% in 2017-2018. Use of high-cost noninsulin drugs decreased from 2003-2004 to 2013-2014 and then slowly increased. Use of low-cost insulin decreased from 7 to 2% while high-cost insulin rose from 4 to 16%. In multivariable analysis, non-White patients had 25-35% lower odds of receiving high-cost drugs than non-Hispanic Whites. Health insurance was associated with more than twice the odds of having high-cost drugs compared to no insurance. Patients with higher HbA1c or moderate obesity were also more likely to use high-cost drugs. Sex, income, and insurance type were not associated with receipt of high-cost drugs. CONCLUSIONS: There was a shift in utilization from high- to low-cost noninsulin drugs, but since 2013-2014 the trend has slowly reversed with increased use of newer, more expensive drug classes. High-cost insulin analogs have almost completely replaced lower cost human insulins. Disparities in receipt of diabetes drugs by race/ethnicity and insurance must be addressed to ensure that cost is not a barrier for disadvantaged populations.

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.

Community-Acquired Pneumonia.

Community-acquired pneumonia is an important cause of morbidity and mortality. It can be caused by bacteria, viruses, or fungi and can be prevented through vaccination with pneumococcal, influenza, and COVID-19 vaccines. Diagnosis requires suggestive history and physical findings in conjunction with radiographic evidence of infiltrates. Laboratory testing can help guide therapy. Important issues in treatment include choosing the proper venue, timely initiation of the appropriate antibiotic or antiviral, appropriate respiratory support, deescalation after negative culture results, switching to oral therapy, and short treatment duration.

Duration of Severe Acute Respiratory Syndrome Coronavirus 2 Natural Immunity and Protection Against the Delta Variant: A Retrospective Cohort Study.

BACKGROUND: Infection with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has been shown to be highly protective against reinfection and symptomatic disease. However, effectiveness against the Delta variant and duration of natural immunity remain unknown. METHODS: This retrospective cohort study included 325 157 patients tested for SARS-CoV-2 via polymerase chain reaction (PCR) from 9 March 2020 to 31 December 2020 (Delta variant analysis) and 152 656 patients tested from 9 March 2020 to 30 August 2020 (long-term effectiveness analysis) with subsequent testing through 9 September 2021. The primary outcome was reinfection, defined as a positive PCR test >90 days after the initial positive test. RESULTS: Among 325 157 patients tested before 31 December 2020, 50 327 (15.5%) tested positive. After 1 July 2021 (Delta dominant period), 40 (0.08%) initially positive and 1494 (0.5%) initially negative patients tested positive. Protection of prior infection against reinfection with Delta was 85.4% (95% confidence interval [CI], 80.0-89.3). For the long-term effectiveness analysis, among 152 656 patients tested before 30 August 2020, 11 186 (7.3%) tested positive. After at least 90 days, 81 (0.7%) initially positive and 7167 (5.1%) initially negative patients tested positive. Overall protection of previous infection was 85.7% (95% CI, 82.2-88.5) and lasted up to 13 months. Patients aged >65 years had slightly lower protection. CONCLUSIONS: SARS-CoV-2 infection is highly protective against reinfection with Delta. Immunity from prior infection lasts at least 13 months. Countries facing vaccine shortages should consider delaying vaccinations for previously infected patients to increase access.

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.

Etiology, Treatments, and Outcomes of Patients With Severe Community-Acquired Pneumonia in a Large U.S. Sample.

OBJECTIVES: Compare the clinical practice and outcomes in severe community-acquired pneumonia (sCAP) patients to those in non-sCAP patients using guideline-defined criteria for sCAP. DESIGN: Retrospective observational cohort study. SETTING: One hundred seventy-seven U.S. hospitals within the Premier Healthcare Database. PATIENTS: Hospitalized adult (≥ 18 yr old) patients with pneumonia. MEASUREMENTS AND MAIN RESULTS: Adult patients (≥ 18 yr old) with a principal diagnosis of pneumonia or a secondary diagnosis of pneumonia paired with a principal diagnosis of sepsis or respiratory failure were included. Patients with at least one guideline-defined major criterion for severe pneumonia were compared with patients with nonsevere disease. Among 154,799 patients with pneumonia, 21,805 (14.1%) met criteria for sCAP. They had higher organ failure scores (1.9 vs 0.63; p < 0.001) and inpatient mortality (22.0 vs 5.0%; p < 0.001), longer lengths of stay (8 vs 5 d; p < 0.001), and higher costs ($20,046 vs $7,543; p < 0.001) than those with nonsevere disease. Patients with sCAP had twice the rate of positive blood cultures (10.0% vs 4.5%; p < 0.001) and respiratory cultures (34.2 vs 21.1%; p < 0.001) and more often had isolates resistant to first-line community-acquired pneumonia antibiotics (10% of severe vs 3.1% of nonsevere; p < 0.001). Regardless of disease severity, Streptococcus pneumoniae was the most common pathogen recovered from blood cultures and Staphylococcus aureus and Pseudomonas species were the most common pathogens recovered from the respiratory tract. Although few patients with sCAP had cultures positive for a resistant organism, 65% received vancomycin and 42.8% received piperacillin-tazobactam. CONCLUSIONS: sCAP patients had worse outcomes and twice the rate of culture positivity. S. aureus and S. pneumoniae were the most common organisms in respiratory and blood specimens, respectively. Although only recommended for sCAP patients, nearly all pneumonia patients received blood cultures, a quarter of nonsevere patients received sputum cultures, and treatment with broad-spectrum agents was widespread, indicating fertile ground for antimicrobial and diagnostic stewardship programs.

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.