Two randomized controlled trials of nudges to encourage referrals to centralized pharmacy services for evidence-based statin initiation in high-risk patients: Rationale and design of the SUPER LIPID program.

BACKGROUND: In patients with or at risk for atherosclerotic vascular disease, statins reduce the incidence of major adverse cardiovascular events, but the majority of US adults with an indication for statin therapy are not prescribed statins at guideline-recommended intensity. Clinicians' limited time to address preventative care issues is cited as one factor contributing to gaps in statin prescribing. Centralized pharmacy services can fulfill a strategic role for population health management through outreach, education, and statin prescribing for patients at elevated ASCVD risk, but best practices for optimizing referrals of appropriate patients are unknown. STUDY DESIGN AND OBJECTIVES: SUPER LIPID (NCT05537064) is a program consisting of two pragmatic clinical trials testing the effect of nudges in increasing referrals of appropriate patients to a centralized pharmacy service for lipid management, conducted within 11 primary care practices in a large community health system. In both trials, patients were eligible for inclusion if they had an assigned primary care provider (PCP) in a participating practice and were not prescribed a high- or moderate-intensity statin despite an indication, identified via an electronic health record (EHR) algorithm. Trial #1 was a stepped wedge trial, conducted at a single practice with randomization at the PCP level, of an interruptive EHR message that appeared during eligible patients' visits and facilitated referral to the pharmacy service. For the first 3 months, no PCPs received the message; for the second 3 months, half were randomly selected to receive the message; and for the last 3 months, all PCPs received the message. Trial #2 was a cluster-randomized trial conducted at 10 practices, with randomization at the practice level. Practices were randomized to usual care or to have eligible patients automatically referred to centralized pharmacy services via a referral order placed in PCPs EHR inboxes for co-signature. In both trials, when a patient was referred to centralized pharmacy services, a pharmacist reviewed the patient's chart, contacted the patient, and initiated statin therapy if the patient agreed. The primary endpoint of both trials was the proportion of patients prescribed a statin; secondary endpoints include the proportion of patients prescribed a statin at guideline-recommended intensity, the proportion of patients filling a statin prescription, and serum low-density lipoprotein level. CONCLUSIONS: SUPER LIPID is a pair of pragmatic clinical trials assessing the effectiveness of two strategies to encourage referral of appropriate patients to a centralized pharmacy service for lipid management. The trial results will develop the evidence base for simple, scalable, EHR-based strategies to integrate clinical pharmacists into population health management and increase appropriate statin prescribing. CLINICAL TRIAL REGISTRATION: clinicaltrials.gov; NCT05537064.

Assessing Heuristic Bias During Care for Patients Hospitalized for Heart Failure: Get With The Guidelines-Heart Failure.

BACKGROUND: Heuristic biases are increasingly recognized, and potentially modifiable, contributors to patient care and outcomes. Left digit bias is a cognitive bias where continuous variables are categorized by their left-most digit. The impact of this heuristic bias applied to patient age on quality of care in heart failure has not been explored. METHODS: We examined participants admitted from 2005 to 2021 in the Get With The Guidelines-Heart Failure registry. To create 2 naturally randomized groups, isolating the effect of left digit bias, we dichotomized patients into those discharged within 60 days prior to their 80th birthday (N=4238) and those discharged within 60 days after their 80th birthday (N=4329). We performed multivariable logistic regression to assess the association between discharge date relative to 80th birthday and several in-hospital quality metrics and in-hospital outcomes. Among Medicare participants (N=2759), we performed adjusted Cox regression to analyze the relationship between discharge date and risk of 1-year mortality or readmission. RESULTS: Among 8567 patients, 50.4% were female, 73% were non-Hispanic White, and 42.9% had an ejection fraction ≤40%. Discharge date relative to 80th birthday was not associated with numerous in-hospital quality metrics or in-hospital outcomes on unadjusted or adjusted logistic regression. Among Medicare beneficiaries, there was no association between discharge date and risk of mortality or readmission at 1-year postdischarge (hazard ratio, 1.03 [95% CI, 0.95-1.12]; P=0.52). CONCLUSIONS: In a large registry of patients hospitalized for heart failure, we did not detect a left digit bias' with respect to age at discharge, which resulted in differential quality of care or outcomes.

Implementing a Women's Cardiovascular Health Training Program in a Cardiovascular Disease Fellowship: The MUCHACHA Curriculum.

Sex- and gender-specific training for cardiovascular clinicians is essential to enhance knowledge and quality of women's cardiovascular health care. In 2016, the University of Pennsylvania cardiovascular fellowship program established a dedicated women's cardiovascular health curriculum, motivated by the fellow-in-training desire to gain formal and focused training in this emerging field.

Patient Characteristics Associated With Telemedicine Access for Primary and Specialty Ambulatory Care During the COVID-19 Pandemic.

Importance: The coronavirus disease 2019 (COVID-19) pandemic has required a shift in health care delivery platforms, necessitating a new reliance on telemedicine. Objective: To evaluate whether inequities are present in telemedicine use and video visit use for telemedicine visits during the COVID-19 pandemic. Design, Setting, and Participants: In this cohort study, a retrospective medical record review was conducted from March 16 to May 11, 2020, of all patients scheduled for telemedicine visits in primary care and specialty ambulatory clinics at a large academic health system. Age, race/ethnicity, sex, language, median household income, and insurance type were all identified from the electronic medical record. Main Outcomes and Measures: A successfully completed telemedicine visit and video (vs telephone) visit for a telemedicine encounter. Multivariable models were used to assess the association between sociodemographic factors, including sex, race/ethnicity, socioeconomic status, and language, and the use of telemedicine visits, as well as video use specifically. Results: A total of 148 402 unique patients (86 055 women [58.0%]; mean [SD] age, 56.5 [17.7] years) had scheduled telemedicine visits during the study period; 80 780 patients (54.4%) completed visits. Of 78 539 patients with completed visits in which visit modality was specified, 35 824 (45.6%) were conducted via video, whereas 24 025 (56.9%) had a telephone visit. In multivariable models, older age (adjusted odds ratio [aOR], 0.85 [95% CI, 0.83-0.88] for those aged 55-64 years; aOR, 0.75 [95% CI, 0.72-0.78] for those aged 65-74 years; aOR, 0.67 [95% CI, 0.64-0.70] for those aged ≥75 years), Asian race (aOR, 0.69 [95% CI, 0.66-0.73]), non-English language as the patient's preferred language (aOR, 0.84 [95% CI, 0.78-0.90]), and Medicaid insurance (aOR, 0.93 [95% CI, 0.89-0.97]) were independently associated with fewer completed telemedicine visits. Older age (aOR, 0.79 [95% CI, 0.76-0.82] for those aged 55-64 years; aOR, 0.78 [95% CI, 0.74-0.83] for those aged 65-74 years; aOR, 0.49 [95% CI, 0.46-0.53] for those aged ≥75 years), female sex (aOR, 0.92 [95% CI, 0.90-0.95]), Black race (aOR, 0.65 [95% CI, 0.62-0.68]), Latinx ethnicity (aOR, 0.90 [95% CI, 0.83-0.97]), and lower household income (aOR, 0.57 [95% CI, 0.54-0.60] for income <$50 000; aOR, 0.89 [95% CI, 0.85-0.92], for $50 000-$100 000) were associated with less video use for telemedicine visits. These results were similar across medical specialties. Conclusions and Relevance: In this cohort study of patients scheduled for primary care and medical specialty ambulatory telemedicine visits at a large academic health system during the early phase of the COVID-19 pandemic, older patients, Asian patients, and non-English-speaking patients had lower rates of telemedicine use, while older patients, female patients, Black, Latinx, and poorer patients had less video use. Inequities in accessing telemedicine care are present, which warrant further attention.