Comparative Effectiveness of Aspirin Dosing in Cardiovascular Disease.

BACKGROUND: The appropriate dose of aspirin to lower the risk of death, myocardial infarction, and stroke and to minimize major bleeding in patients with established atherosclerotic cardiovascular disease is a subject of controversy. METHODS: Using an open-label, pragmatic design, we randomly assigned patients with established atherosclerotic cardiovascular disease to a strategy of 81 mg or 325 mg of aspirin per day. The primary effectiveness outcome was a composite of death from any cause, hospitalization for myocardial infarction, or hospitalization for stroke, assessed in a time-to-event analysis. The primary safety outcome was hospitalization for major bleeding, also assessed in a time-to-event analysis. RESULTS: A total of 15,076 patients were followed for a median of 26.2 months (interquartile range [IQR], 19.0 to 34.9). Before randomization, 13,537 (96.0% of those with available information on previous aspirin use) were already taking aspirin, and 85.3% of these patients were previously taking 81 mg of daily aspirin. Death, hospitalization for myocardial infarction, or hospitalization for stroke occurred in 590 patients (estimated percentage, 7.28%) in the 81-mg group and 569 patients (estimated percentage, 7.51%) in the 325-mg group (hazard ratio, 1.02; 95% confidence interval [CI], 0.91 to 1.14). Hospitalization for major bleeding occurred in 53 patients (estimated percentage, 0.63%) in the 81-mg group and 44 patients (estimated percentage, 0.60%) in the 325-mg group (hazard ratio, 1.18; 95% CI, 0.79 to 1.77). Patients assigned to 325 mg had a higher incidence of dose switching than those assigned to 81 mg (41.6% vs. 7.1%) and fewer median days of exposure to the assigned dose (434 days [IQR, 139 to 737] vs. 650 days [IQR, 415 to 922]). CONCLUSIONS: In this pragmatic trial involving patients with established cardiovascular disease, there was substantial dose switching to 81 mg of daily aspirin and no significant differences in cardiovascular events or major bleeding between patients assigned to 81 mg and those assigned to 325 mg of aspirin daily. (Funded by the Patient-Centered Outcomes Research Institute; ADAPTABLE ClinicalTrials.gov number, NCT02697916.).

A Multicenter Retrospective Cohort Study to Characterize Patients Hospitalized With Multisystem Inflammatory Syndrome in Adults and Coronavirus Disease 2019 in the United States, 2020-2021.

BACKGROUND: The diagnosis of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)-associated multisystem inflammatory syndrome in adults (MIS-A) requires distinguishing it from acute coronavirus disease 2019 (COVID-19) and may affect clinical management. METHODS: In this retrospective cohort study, we applied the US Centers for Disease Control and Prevention case definition to identify adults hospitalized with MIS-A at 6 academic medical centers from 1 March 2020 to 31 December 2021. Patients MIS-A were matched by age group, sex, site, and admission date at a 1:2 ratio to patients hospitalized with acute symptomatic COVID-19. Conditional logistic regression was used to compare demographic characteristics, presenting symptoms, laboratory and imaging results, treatments administered, and outcomes between cohorts. RESULTS: Through medical record review of 10 223 patients hospitalized with SARS-CoV-2-associated illness, we identified 53 MIS-A cases. Compared with 106 matched patients with COVID-19, those with MIS-A were more likely to be non-Hispanic black and less likely to be non-Hispanic white. They more likely had laboratory-confirmed COVID-19 ≥14 days before hospitalization, more likely had positive in-hospital SARS-CoV-2 serologic testing, and more often presented with gastrointestinal symptoms and chest pain. They were less likely to have underlying medical conditions and to present with cough and dyspnea. On admission, patients with MIS-A had higher neutrophil-to-lymphocyte ratio and higher levels of C-reactive protein, ferritin, procalcitonin, and D-dimer than patients with COVID-19. They also had longer hospitalization and more likely required intensive care admission, invasive mechanical ventilation, and vasopressors. The mortality rate was 6% in both cohorts. CONCLUSIONS: Compared with patients with acute symptomatic COVID-19, adults with MIS-A more often manifest certain symptoms and laboratory findings early during hospitalization. These features may facilitate diagnosis and management.

Reducing Emergency Department Visits Among Patients With Diabetes by Embedding Clinical Pharmacists in the Primary Care Teams.

BACKGROUND: Pharmacists are effective at improving control of cardiovascular risk factors, but it less clear whether these improvements translate into less emergency department (ED) use and fewer hospitalizations. The UCMyRx program embed pharmacists in primary care. OBJECTIVE: The objective of this study was to examine if the integration of pharmacists into primary care was associated with lower ED and hospital use for patients with diabetes. DESIGN: This was a quasi-experimental study with a comparator group. SUBJECTS: The analytic sample included patients with diabetes with uncontrolled cardiovascular risk factors (A1C >9%, blood pressure >140/90 mm Hg, low-density lipoprotein-cholesterol >130 mg/dL) who had 1 or more visits in either a UCMyRx (648 patients, 14 practices) or usual care practice (1944 patients, 14 practices). MEASURES: Our outcomes were ED and hospitalization rates as measured before and after the consultations between UCMyRx and usual care. Our predictor variable was the pharmacist consultation. Poisson generalized estimating equations model was used to estimate the adjusted predicted change in utilization before and after the pharmacist consultation. The Average Treatment Effect on the Treated was estimated. RESULTS: In models adjusted, the adjusted mean predicted number of emergency department visits/month during the year before the consultation was 0.09 among UCMyRx patients. During the year after initiating the care with the pharmacists, this rate decreased to an adjusted mean monthly rate of 0.07, with an Average Treatment Effect on the Treated=0.021 (P=0.035), a predicted reduction of 21% in emergency department visits associated with the clinical pharmacist consults. There was a nonsignificant predicted 3.2% reduction in hospitalizations over time for patients in the UCMyRx program. CONCLUSION: Clinical pharmacists are an important addition to clinical care teams in primary care practices and significantly decreased utilization of the ED among patients with poorly controlled diabetes.

An Effectiveness Evaluation of a Primary Care-Embedded Clinical Pharmacist-Led Intervention Among Blacks with Diabetes.

BACKGROUND: Black individuals with type 2 diabetes suffer disproportionate morbidity and mortality relative to whites with type 2 diabetes, irrespective of health insurance coverage. OBJECTIVE: Examine the impact of a primary care-embedded clinical pharmacist-led intervention (UCMyRx) on cardiovascular risk factor control among blacks with type 2 diabetes in a large healthcare system. DESIGN: We used data extracted from the electronic health records (EHR) system and a difference-in-differences study design with a propensity-matched comparison group to evaluate the impact of UCMyRx on HbA1c and systolic blood pressure (SBP) among black patients with type 2 diabetes, relative to usual care. PARTICIPANTS: Individuals with type 2 diabetes identified as either black or African American in the EHR that were ≥ 18 years of age that had the following observations during the study window (03/02/2013-12/31/18: (1) HbA1C ≥ 8%, at least once, anywhere between 365 days before and 14 days after the UCMyRx visit and a follow-up HbA1c measure within 120 to 365 days after the visit and/or (2) SBP ≥ 140 mmHg at least once between 365 days before and 14 days after the UCMyRx visit that had a follow-up SBP measure within 120 to 450 days after the visit. INTERVENTION: UCMyRx pharmacists review labs and vital signs, perform medication reconciliation, use a standardized survey to assess barriers to medication adherence, and develop tailored interventions to improve medication adherence. MAIN MEASURES: Change in HbA1c and change in SBP from before to after the first UCMyRx visit. KEY RESULTS: Having at least one visit with a UCMyRx clinical pharmacist was associated with a significant reduction in HbA1c (- 0.4%, p value = .01); however, there was no significant impact on SBP (- .051 mmHg, p value = 0.74). CONCLUSIONS: The UCMyRx intervention is a useful strategy for improving HbA1c control among blacks with type 2 diabetes.

Rationale and design of a multicenter Chronic Kidney Disease (CKD) and at-risk for CKD electronic health records-based registry: CURE-CKD.

BACKGROUND: Chronic kidney disease (CKD) is a global public health problem, exhibiting sharp increases in incidence, prevalence, and attributable morbidity and mortality. There is a critical need to better understand the demographics, clinical characteristics, and key risk factors for CKD; and to develop platforms for testing novel interventions to improve modifiable risk factors, particularly for the CKD patients with a rapid decline in kidney function. METHODS: We describe a novel collaboration between two large healthcare systems (Providence St. Joseph Health and University of California, Los Angeles Health) supported by leadership from both institutions, which was created to develop harmonized cohorts of patients with CKD or those at increased risk for CKD (hypertension/HTN, diabetes/DM, pre-diabetes) from electronic health record data. RESULTS: The combined repository of candidate records included more than 3.3 million patients with at least a single qualifying measure for CKD and/or at-risk for CKD. The CURE-CKD registry includes over 2.6 million patients with and/or at-risk for CKD identified by stricter guide-line based criteria using a combination of administrative encounter codes, physical examinations, laboratory values and medication use. Notably, data based on race/ethnicity and geography in part, will enable robust analyses to study traditionally disadvantaged or marginalized patients not typically included in clinical trials. DISCUSSION: CURE-CKD project is a unique multidisciplinary collaboration between nephrologists, endocrinologists, primary care physicians with health services research skills, health economists, and those with expertise in statistics, bio-informatics and machine learning. The CURE-CKD registry uses curated observations from real-world settings across two large healthcare systems and has great potential to provide important contributions for healthcare and for improving clinical outcomes in patients with and at-risk for CKD.

Implementation of informatics for integrating biology and the bedside (i2b2) platform as Docker containers.

BACKGROUND: Informatics for Integrating Biology and the Bedside (i2b2) is an open source clinical data analytics platform used at over 200 healthcare institutions for querying patient data. The i2b2 platform has several components with numerous dependencies and configuration parameters, which renders the task of installing or upgrading i2b2 a challenging one. Even with the availability of extensive documentation and tutorials, new users often require several weeks to correctly install a functional i2b2 platform. The goal of this work is to simplify the installation and upgrade process for i2b2. Specifically, we have containerized the core components of the platform, and evaluated the containers for ease of installation. RESULTS: We developed three Docker container images: WildFly, database, and web, to encapsulate the three major deployment components of i2b2. These containers isolate the core functionalities of the i2b2 platform, and work in unison to provide its functionalities. Our evaluations indicate that i2b2 containers function successfully on the Linux platform. Our results demonstrate that the containerized components work out-of-the-box, with minimal configuration. CONCLUSIONS: Containerization offers the potential to package the i2b2 platform components into standalone executable packages that are agnostic to the underlying host operating system. By releasing i2b2 as a Docker container, we anticipate that users will be able to create a working i2b2 hive installation without the need to download, compile, and configure individual components that constitute the i2b2 cells, thus making this platform accessible to a greater number of institutions.

Physician experiences with clinical pharmacists in primary care teams.

BACKGROUND: Improving medication management is an important component of comprehensive care coordination for health systems. The Managing Your Medication for Education and Daily Support (MyMeds) medication management program at the University of California Los Angeles addresses medication management issues by embedding trained clinical pharmacists in primary care practice teams. OBJECTIVES: The aim of this work was to examine and explore physician opinions about the clinical pharmacist program and identify common themes among physician experiences as well as barriers to integration of clinical pharmacists into primary care practice teams. METHODS: We conducted a mixed quantitative-qualitative methods study consisting of a cross-sectional physician survey (n = 69) as well as semistructured one-on-one physician interviews (n = 13). Descriptive statistics were used to summarize survey responses, and standard qualitative content-analysis methods were used to identify major themes from the interviews. RESULTS: The survey response rate was 61%; 13 interviews were conducted. Ninety percent of survey respondents agreed or strongly agreed that having the pharmacist in the office makes management of the patient's medication more efficient, 93% agreed or strongly agreed that pharmacist recommendations are clinically helpful, 71% agreed or strongly agreed that having access to a pharmacist has increased their knowledge about medications they prescribe, and 75% agreed or strongly agreed that having a pharmacist as part of the primary care team has made their job easier. Qualitative interviews corroborated survey findings, and physicians highlighted the value of the clinical pharmacist's communication, team care and expanded roles, and medication management. CONCLUSION: Primary care physicians valued the integrated pharmacy program highly, particularly its features of strong communication, expanded roles, and medication management. Pharmacists were viewed as integral members of the health care team.

Effectiveness of a smartphone application for weight loss compared with usual care in overweight primary care patients: a randomized, controlled trial.

BACKGROUND: Many smartphone applications (apps) for weight loss are available, but little is known about their effectiveness. OBJECTIVE: To evaluate the effect of introducing primary care patients to a free smartphone app for weight loss. DESIGN: Randomized, controlled trial. (ClinicalTrials.gov: NCT01650337). SETTING: 2 academic primary care clinics. PATIENTS: 212 primary care patients with body mass index of 25 kg/m2 or greater. INTERVENTION: 6 months of usual care without (n = 107) or with (n = 105) assistance in downloading the MyFitnessPal app (MyFitnessPal). MEASUREMENTS: Weight loss at 6 months (primary outcome) and changes in systolic blood pressure and behaviors, frequency of app use, and satisfaction (secondary outcomes). RESULTS: After 6 months, weight change was minimal, with no difference between groups (mean between-group difference, -0.30 kg [95% CI, -1.50 to 0.95 kg]; P = 0.63). Change in systolic blood pressure also did not differ between groups (mean between-group difference, -1.7 mm Hg [CI, -7.1 to 3.8 mm Hg]; P = 0.55). Compared with patients in the control group, those in the intervention group increased use of a personal calorie goal (mean between-group difference, 2.0 d/wk [CI, 1.1 to 2.9 d/wk]; P < 0.001), although other self-reported behaviors did not differ between groups. Most users reported high satisfaction with MyFitnessPal, but logins decreased sharply after the first month. LIMITATIONS: Despite being blinded to the name of the app, 14 control group participants (13%) used MyFitnessPal. In addition, 32% of intervention group participants and 19% of control group participants were lost to follow-up at 6 months. The app was given to patients by research assistants, not by physicians. CONCLUSION: Smartphone apps for weight loss may be useful for persons who are ready to self-monitor calories, but introducing a smartphone app is unlikely to produce substantial weight change for most patients. PRIMARY FUNDING SOURCE: Robert Wood Johnson Foundation Clinical Scholars Program, National Institutes of Health/National Center for Advancing Translational Sciences for the UCLA Clinical and Translational Science Institute, and the Resource Centers for Minority Aging Research Center for Health Improvement of Minority Elderly under the National Institutes of Health/National Institute on Aging.

Local public health department adoption and use of electronic health records.

CONTEXT: Electronic health records (EHRs) may help local health departments (LHDs) to improve services and thereby promote and protect population health. Yet, little is known about nationwide trends and correlates of EHR use by LHDs. OBJECTIVE: We examine relative contributions of LHD finances, leadership, and governance to EHR adoption and use from 2010 to 2013. The impact of LHD service provision and meaningful use factors on EHR use is explored in depth. DESIGN: Combining data from the National Association of County & City Health Officials Profile survey and the Area Health Resource File, logistic regression models were used to examine EHR use in 2013. Multinomial logistic models examined EHR adoption, use, or discontinuation from 2010 to 2013. PARTICIPANTS: EHR usage data were available for 514 and 488 LHDs in 2010 and 2013, respectively. A total of 117 LHDs had data for both 2010 and 2013. MAIN OUTCOME MEASURES: Outcomes included dichotomized measures of LHD self-reported use of EHRs in 2010 and 2013. For LHDs with 2 years of data, a 4-category variable measuring self-reported EHR use, nonuse, adoption, or discontinuation was analyzed. RESULTS: Overall LHD EHR use did not increase significantly between 2010 (19.3%) and 2013 (22.0%). While 15% of LHDs reported adopting EHRs from 2010 to 2013, another 8.5% reported discontinuing use of EHRs during this time. Likelihood of EHR use was strongly associated with LHD clinical service characteristics, per capita expenditures, and state governance structure. CONCLUSIONS: EHRs do not appear to be rapidly diffusing across LHDs, and retention of current systems may be a concern. Given trends away from clinical service provision and other pressing demands for LHD resources, the benefits of EHR adoption are unclear.

Electronic health information exchange in underserved settings: examining initiatives in small physician practices & community health centers.

BACKGROUND: Health information exchange (HIE) is an important tool for improving efficiency and quality and is required for providers to meet Meaningful Use certification from the United States Centers for Medicare and Medicaid Services. However widespread adoption and use of HIE has been difficult to achieve, especially in settings such as smaller-sized physician practices and federally qualified health centers (FQHCs). We assess electronic data exchange activities and identify barriers and benefits to HIE participation in two underserved settings. METHODS: We conducted key-informant interviews with stakeholders at physician practices and health centers. Interviews were recorded, transcribed, and then coded in two waves: first using an open-coding approach and second using selective coding to identify themes that emerged across interviews, including barriers and facilitators to HIE adoption and use. RESULTS: We interviewed 24 providers, administrators and office staff from 16 locations in two states. They identified barriers to HIE use at three levels-regional (e.g., lack of area-level exchanges; partner organizations), inter-organizational (e.g., strong relationships with exchange partners; achieving a critical mass of users), and intra-organizational (e.g., type of electronic medical record used; integration into organization's workflow). A major perceived benefit of HIE use was the improved care-coordination clinicians could provide to patients as a direct result of the HIE information. Utilization and perceived benefit of the exchange systems differed based on several practice- and clinic-level factors. CONCLUSIONS: The adoption and use of HIE in underserved settings appears to be impeded by regional, inter-organizational, and intra-organizational factors and facilitated by perceived benefits largely at the intra-organizational level. Stakeholders should consider factors both internal and external to their organization, focusing efforts in changing modifiable factors and tailoring HIE efforts based on all three categories of factors. Collective action between organizations may be needed to address inter-organizational and regional barriers. In the interest of facilitating HIE adoption and use, the impact of interventions at various levels on improving the use of electronic health data exchange should be tested.

Effect of electronic prescribing with formulary decision support on medication tier, copayments, and adherence.

BACKGROUND: Medication non-adherence is prevalent. We assessed the effect of electronic prescribing (e-prescribing) with formulary decision support on preferred formulary tier usage, copayment, and concomitant adherence. METHODS: We retrospectively analyzed 14,682 initial pharmaceutical claims for angiotensin receptor blocker and inhaled steroid medications among 14,410 patients of 2189 primary care physicians (PCPs) who were offered e-prescribing with formulary decision support, including 297 PCPs who adopted it. Formulary decision support was initially non-interruptive, such that formulary tier symbols were displayed adjacent to medication names. Subsequently, interruptive formulary decision support alerts also interrupted e-prescribing when preferred-tier alternatives were available. A difference in differences design was used to compare the pre-post differences in medication tier for each new prescription attributed to non-adopters, low user (<30% usage rate), and high user PCPs (>30% usage rate). Second, we modeled the effect of formulary tier on prescription copayment. Last, we modeled the effect of copayment on adherence (proportion of days covered) to each new medication. RESULTS: Compared with non-adopters, high users of e-prescribing were more likely to prescribe preferred-tier medications (vs. non-preferred tier) when both non-interruptive and interruptive formulary decision support were in place (OR 1.9 [95% CI 1.0-3.4], p = 0.04), but no more likely to prescribe preferred-tier when only non-interruptive formulary decision support was in place (p = 0.90). Preferred-tier claims had only slightly lower mean monthly copayments than non-preferred tier claims (angiotensin receptor blocker: $10.60 versus $11.81, inhaled steroid: $14.86 versus $16.42, p < 0.0001). Medication possession ratio was 8% lower for each $1.00 increase in monthly copayment to the one quarter power (p < 0.0001). However, we detected no significant direct association between formulary decision support usage and adherence. CONCLUSION: Interruptive formulary decision support shifted prescribing toward preferred tiers, but these medications were only minimally less expensive in the studied patient population. In this context, formulary decision support did not significantly increase adherence. To impact cost-related non-adherence, formulary decision support will likely need to be paired with complementary drug benefit design. Formulary decision support should be studied further, with particular attention to its effect on adherence in the setting of different benefit designs.

Precision Phenotyping for Curating Research Cohorts of Patients with Post-Acute Sequelae of COVID-19 (PASC) as a Diagnosis of Exclusion.

Scalable identification of patients with the post-acute sequelae of COVID-19 (PASC) is challenging due to a lack of reproducible precision phenotyping algorithms and the suboptimal accuracy, demographic biases, and underestimation of the PASC diagnosis code (ICD-10 U09.9). In a retrospective case-control study, we developed a precision phenotyping algorithm for identifying research cohorts of PASC patients, defined as a diagnosis of exclusion. We used longitudinal electronic health records (EHR) data from over 295 thousand patients from 14 hospitals and 20 community health centers in Massachusetts. The algorithm employs an attention mechanism to exclude sequelae that prior conditions can explain. We performed independent chart reviews to tune and validate our precision phenotyping algorithm. Our PASC phenotyping algorithm improves precision and prevalence estimation and reduces bias in identifying Long COVID patients compared to the U09.9 diagnosis code. Our algorithm identified a PASC research cohort of over 24 thousand patients (compared to about 6 thousand when using the U09.9 diagnosis code), with a 79.9 percent precision (compared to 77.8 percent from the U09.9 diagnosis code). Our estimated prevalence of PASC was 22.8 percent, which is close to the national estimates for the region. We also provide an in-depth analysis outlining the clinical attributes, encompassing identified lingering effects by organ, comorbidity profiles, and temporal differences in the risk of PASC. The PASC phenotyping method presented in this study boasts superior precision, accurately gauges the prevalence of PASC without underestimating it, and exhibits less bias in pinpointing Long COVID patients. The PASC cohort derived from our algorithm will serve as a springboard for delving into Long COVID's genetic, metabolomic, and clinical intricacies, surmounting the constraints of recent PASC cohort studies, which were hampered by their limited size and available outcome data.

Structure and Funding of Clinical Informatics Fellowships: A National Survey of Program Directors.

BACKGROUND: In 2011, the American Board of Medical Specialties established clinical informatics (CI) as a subspecialty in medicine, jointly administered by the American Board of Pathology and the American Board of Preventive Medicine. Subsequently, many institutions created CI fellowship training programs to meet the growing need for informaticists. Although many programs share similar features, there is considerable variation in program funding and administrative structures. OBJECTIVES: The aim of our study was to characterize CI fellowship program features, including governance structures, funding sources, and expenses. METHODS: We created a cross-sectional online REDCap survey with 44 items requesting information on program administration, fellows, administrative support, funding sources, and expenses. We surveyed program directors of programs accredited by the Accreditation Council for Graduate Medical Education between 2014 and 2021. RESULTS: We invited 54 program directors, of which 41 (76%) completed the survey. The average administrative support received was $27,732/year. Most programs (85.4%) were accredited to have two or more fellows per year. Programs were administratively housed under six departments: Internal Medicine (17; 41.5%), Pediatrics (7; 17.1%), Pathology (6; 14.6%), Family Medicine (6; 14.6%), Emergency Medicine (4; 9.8%), and Anesthesiology (1; 2.4%). Funding sources for CI fellowship program directors included: hospital or health systems (28.3%), clinical departments (28.3%), graduate medical education office (13.2%), biomedical informatics department (9.4%), hospital information technology (9.4%), research and grants (7.5%), and other sources (3.8%) that included philanthropy and external entities. CONCLUSION: CI fellowships have been established in leading academic and community health care systems across the country. Due to their unique training requirements, these programs require significant resources for education, administration, and recruitment. There continues to be considerable heterogeneity in funding models between programs. Our survey findings reinforce the need for reformed federal funding models for informatics practice and training.

Electronic health record impact on work burden in small, unaffiliated, community-based primary care practices.

BACKGROUND: The use of electronic health records (EHR) is widely recommended as a means to improve the quality, safety and efficiency of US healthcare. Relatively little is known, however, about how implementation and use of this technology affects the work of clinicians and support staff who provide primary health care in small, independent practices. OBJECTIVE: To study the impact of EHR use on clinician and staff work burden in small, community-based primary care practices. DESIGN: We conducted in-depth field research in seven community-based primary care practices. A team of field researchers spent 9-14 days over a 4-8 week period observing work in each practice, following patients through the practices, conducting interviews with key informants, and collecting documents and photographs. Field research data were coded and analyzed by a multidisciplinary research team, using a grounded theory approach. PARTICIPANTS: All practice members and selected patients in seven community-based primary care practices in the Northeastern US. KEY RESULTS: The impact of EHR use on work burden differed for clinicians compared to support staff. EHR use reduced both clerical and clinical staff work burden by improving how they check in and room patients, how they chart their work, and how they communicate with both patients and providers. In contrast, EHR use reduced some clinician work (i.e., prescribing, some lab-related tasks, and communication within the office), while increasing other work (i.e., charting, chronic disease and preventive care tasks, and some lab-related tasks). Thoughtful implementation and strategic workflow redesign can mitigate the disproportionate EHR-related work burden for clinicians, as well as facilitate population-based care. CONCLUSIONS: The complex needs of the primary care clinician should be understood and considered as the next iteration of EHR systems are developed and implemented.

Pairing physician education with patient activation to improve shared decisions in prostate cancer screening: a cluster randomized controlled trial.

BACKGROUND: Most expert groups recommend shared decision making for prostate cancer screening. Most primary care physicians, however, routinely order a prostate-specific antigen (PSA) test with little or no discussion about whether they believe the potential benefits justify the risk of harm. We sought to assess whether educating primary care physicians and activating their patients to ask about prostate cancer screening had a synergistic effect on shared decision making, rates and types of discussions about prostate cancer screening, and the physician's final recommendations. METHODS: Our study was a cluster randomized controlled trial among primary care physicians and their patients, comparing usual education (control), with physician education alone (MD-Ed), and with physician education and patient activation (MD-Ed+A). Participants included 120 physicians in 5 group practices, and 712 male patients aged 50 to 75 years. The interventions comprised a Web-based educational program for all intervention physicians and MD-Ed+A patients compared with usual education (brochures from the Centers for Disease Control and Prevention). The primary outcome measure was patients' reported postvisit shared decision making regarding prostate cancer screening; secondary measures included unannounced standardized patients' reported shared decision making and the physician's recommendation for prostate cancer screening. RESULTS: Patients' ratings of shared decision making were moderate and did not differ between groups. MD-Ed+A patients reported that physicians had higher prostate cancer screening discussion rates (MD-Ed+A = 65%, MD-Ed = 41%, control=38%; P <.01). Standardized patients reported that physicians seeing MD-Ed+A patients were more neutral during prostate cancer screening recommendations (MD-Ed+A=50%, MD-Ed=33%, control=15%; P <.05). Of the male patients, 80% had had previous PSA tests. CONCLUSIONS: Although activating physicians and patients did not lead to significant changes in all aspects of physician attitudes and behaviors that we studied, interventions that involved physicians did have a large effect on their attitudes toward screening and in the discussions they had with patients, including their being more likely than control physicians to engage in prostate cancer screening discussions and more likely to be neutral in their final recommendations.

Stewardship decisions among internal medicine residents: responses to common challenges using vignettes.

BACKGROUND: Stewardship is an important aspect of medical care to which little formal attention is paid during training. PURPOSE: The goal is to evaluate stewardship practices of internal medicine residents and the relationship of resident refusal to provide requested nonindicated care with levels of confidence and bother. METHODS: Cross-sectional survey of residents in one training program, containing four hypothetical clinical scenarios asking residents whether they would provide nonindicated tests and treatments, and to report confidence in the decision and bother. RESULTS: Sixty-seven of 105 residents completed the survey. Most residents prescribed a requested brand-name expensive medication when a generic was available and hospitalized a patient with no expected clinical benefit, but few were willing to repeat imaging for quicker availability or perform an unnecessary diagnostic evaluation. Residents ordering nonindicated tests and treatments reported lower confidence in their decision and more bother. PGY level was not associated with clinical decision or bother. CONCLUSIONS: Internal medicine residents, at least on hypothetical scenarios, demonstrate inconsistent stewardship practices. Findings support room for improvement in confidence when faced with requests for nonindicated care and suggest the need for greater curricular emphasis on stewardship.

Pharmacist-Led Diabetes Control Intervention and Health Outcomes in Hispanic Patients With Diabetes.

Importance: Among patients with type 2 diabetes (T2D), Hispanic individuals are more likely than non-Hispanic White individuals to develop diabetes-related complications. Objective: To examine the association of a pharmacist-led intervention (UCMyRx) with hemoglobin A1c (HbA1c) and systolic blood pressure (SBP) among Hispanic patients with T2D. Design, Setting, and Participants: This quality improvement study used electronic health record data and a difference-in-differences study design to evaluate the association of UCMyRx exposure with changes in HbA1c concentration and SBP among Hispanic patients with T2D, relative to usual care, at University of California, Los Angeles primary care clinics between February and April of 2023. The study population included patients with an International Classification of Diseases, Ninth Revision/International Statistical Classification of Diseases and Related Health Problems, Tenth Revision diagnosis of T2D, self-reporting Hispanic ethnicity, age 18 years or older, with 1 or more visits with a UCMyRx pharmacist (treatment) or 2 or more visits, 2 or more years apart, during the study window (comparison). Additionally, patients had to have the following observations during the study window (March 2, 2013-December 31, 2018): (1) a HbA1c 8% or higher, anywhere between 365 days before and 14 days after the index date (date of the first UCMyRx visit or a randomly generated index date) and a follow-up HbA1c measure within 120 to 365 days after the index date (n = 396) and/or (2) a SBP 140 mm Hg or higher between 365 days before and 14 days after the index date, and a follow-up SBP measure within 120 to 450 days after the index date (n = 795). Exposure: Pharmacists review laboratory results/vital signs, perform medication reconciliation, and develop personally tailored interventions to address adherence barriers and increase guideline-concordant care. Main Outcomes and Measures: Pre- to post-index date changes in HbA1c and SBP. Results: Of the 931 unique patients with T2D analyzed, the mean (SD) age was 64 (14.1) years, and 552 (59.3%) were female. In adjusted analyses, having 1 or more UCMyRx visits was associated with a reduction in HbA1c concentration (ß = -0.46%; 95% CI, -0.84% to -0.07%) but no change in SBP (ß = -1.71 mm Hg; 95% CI, -4.00 to 0.58 mm Hg). Conclusions and Relevance: In this quality improvement study of UCMyRx among Hispanic patients with T2D, a negative association was observed between UCMyRx exposure and HbA1c concentration but not SBP. Pharmacist-led intervention may be a strategy for improving outcomes among Hispanic patients with T2D.

Evaluating the predictive ability of natural language processing in identifying tertiary/quaternary cases in prioritization workflows for interhospital transfer.

Objectives: Tertiary and quaternary (TQ) care refers to complex cases requiring highly specialized health services. Our study aimed to compare the ability of a natural language processing (NLP) model to an existing human workflow in predictively identifying TQ cases for transfer requests to an academic health center. Materials and methods: Data on interhospital transfers were queried from the electronic health record for the 6-month period from July 1, 2020 to December 31, 2020. The NLP model was allowed to generate predictions on the same cases as the human predictive workflow during the study period. These predictions were then retrospectively compared to the true TQ outcomes. Results: There were 1895 transfer cases labeled by both the human predictive workflow and the NLP model, all of which had retrospective confirmation of the true TQ label. The NLP model receiver operating characteristic curve had an area under the curve of 0.91. Using a model probability threshold of ≥0.3 to be considered TQ positive, accuracy was 81.5% for the NLP model versus 80.3% for the human predictions (P = .198) while sensitivity was 83.6% versus 67.7% (P<.001). Discussion: The NLP model was as accurate as the human workflow but significantly more sensitive. This translated to 15.9% more TQ cases identified by the NLP model. Conclusion: Integrating an NLP model into existing workflows as automated decision support could translate to more TQ cases identified at the onset of the transfer process.

Embedding research study recruitment within the patient portal preCheck-in.

OBJECTIVE: Patient portals are increasingly used to recruit patients in research studies, but communication response rates remain low without tactics such as financial incentives or manual outreach. We evaluated a new method of study enrollment by embedding a study information sheet and HIPAA authorization form (HAF) into the patient portal preCheck-in (where patients report basic information like allergies). MATERIALS AND METHODS: Eligible patients who enrolled received an after-visit patient-reported outcomes survey through the patient portal. No additional recruitment/messaging efforts were made. RESULTS: A total of 386 of 843 patients completed preCheck-in, 308 of whom signed the HAF and enrolled in the study (37% enrollment rate). Of 93 patients who were eligible to receive the after-visit survey, 45 completed it (48% completion rate). CONCLUSION: Enrollment and survey completion rates were higher than what is typically seen with recruitment by patient portal messaging, suggesting that preCheck-in recruitment can enhance research study recruitment and warrants further investigation.

Advancing clinical decision support using lessons from outside of healthcare: an interdisciplinary systematic review.

BACKGROUND: Greater use of computerized decision support (DS) systems could address continuing safety and quality problems in healthcare, but the healthcare field has struggled to implement DS technology. This study surveys DS experience across multiple non-healthcare disciplines for new insights that are generalizable to healthcare provider decisions. In particular, it sought design principles and lessons learned from the other disciplines that could inform efforts to accelerate the adoption of clinical decision support (CDS). METHODS: Our systematic review drew broadly from non-healthcare databases in the basic sciences, social sciences, humanities, engineering, business, and defense: PsychINFO, BusinessSource Premier, Social Sciences Abstracts, Web of Science, and Defense Technical Information Center. Because our interest was in DS that could apply to clinical decisions, we selected articles that (1) provided a review, overview, discussion of lessons learned, or an evaluation of design or implementation aspects of DS within a non-healthcare discipline and (2) involved an element of human judgment at the individual level, as opposed to decisions that can be fully automated or that are made at the organizational level. RESULTS: Clinical decisions share some similarities with decisions made by military commanders, business managers, and other leaders: they involve assessing new situations and choosing courses of action with major consequences, under time pressure, and with incomplete information. We identified seven high-level DS system design features from the non-healthcare literature that could be applied to CDS: providing broad, system-level perspectives; customizing interfaces to specific users and roles; making the DS reasoning transparent; presenting data effectively; generating multiple scenarios covering disparate outcomes (e.g., effective; effective with side effects; ineffective); allowing for contingent adaptations; and facilitating collaboration. The article provides examples of each feature. The DS literature also emphasizes the importance of organizational culture and training in implementation success. The literature contrasts "rational-analytic" vs. "naturalistic-intuitive" decision-making styles, but the best approach is often a balanced approach that combines both styles. It is also important for DS systems to enable exploration of multiple assumptions, and incorporation of new information in response to changing circumstances. CONCLUSIONS: Complex, high-level decision-making has common features across disciplines as seemingly disparate as defense, business, and healthcare. National efforts to advance the health information technology agenda through broader CDS adoption could benefit by applying the DS principles identified in this review.