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Background The objective is to understand why physicians order tests or treatments in older adults contrary to published recommendations. Methods Participants: Physicians above the median for ≥ 1 measures of overuse representing 3 Choosing Wisely topics. Measurements: Participants evaluated decisions in a semi-structured interview regarding: 1) Screening men aged ≥ 76 with prostate specific antigen 2) Ordering urine studies in women ≥ 65 without symptoms 3) Overtreating adults aged ≥ 75 with insulin or oral hypoglycemic medications. Two investigators independently coded transcripts using qualitative analysis. Results Nineteen interviews were conducted across the three topics resulting in four themes. First, physicians were aware and knowledgeable of guidelines. Second, perceived patient preference towards overuse influenced physician action even when physicians felt strongly that testing was not indicated. Third, physicians overestimated benefits of a test and underemphasized potential harms. Fourth, physicians were resistant to change when patients appeared to be doing well. Conclusions Though physicians expressed awareness to avoid overuse, deference to patient preferences and the tendency to distort the chance of benefit over harm influenced decisions to order testing. Approaches for decreasing unnecessary testing must account for perceived patient preferences, make the potential harms of overtesting salient, and address clinical inertia among patients who appear to be doing well.

Background Since the advent of COVID-19, accelerated adoption of systems that reduce face-to-face encounters has outpaced training and best practices. Electronic consultations (eConsults), structured communications between PCPs and specialists regarding a case, have been effective in reducing face-to-face specialist encounters. As the health system rapidly adapts to multiple new practices and communication tools, new mechanisms to measure and improve performance in this context are needed. Objective To test whether feedback comparing physicians to top performing peers using co-specialists’ ratings improves performance. Design Cluster-randomized controlled trial Participants Eighty facility-specialty clusters and 214 clinicians Intervention Providers in the feedback arms were sent messages that announced their membership in an elite group of “Top Performers” or provided actionable recommendations with feedback for providers that were “Not Top Performers.” Main Measures The primary outcomes were changes in peer ratings in the following performance dimensions after feedback was received: (1) elicitation of information from primary care practitioners; (2) adherence to institutional clinical guidelines; (3) agreement with peer’s medical decision-making; (4) educational value; (5) relationship building. Key Results Specialists showed significant improvements on 3 of the 5 consultation performance dimensions: medical decision-making (odds ratio 1.52, 95% confidence interval 1.08–2.14, p

Background The US outbreak of coronavirus disease 2019 (COVID-19) accelerated rapidly over a short time to become a public health crisis. Objective To assess how high-risk adults’ COVID-19 knowledge, beliefs, behaviors, and sense of preparedness changed from the onset of the US outbreak (March 13–20, 2020) to the acceleration phase (March 27–April 7, 2020). Design Longitudinal, two-wave telephone survey. Participants 588 predominately older adults with ≥ 1 chronic condition recruited from 4 active, federally funded studies in Chicago. Main Measures Self-reported knowledge of COVID-19 symptoms and prevention, related beliefs, behaviors, and sense of preparedness. Key Results From the onset to the acceleration phase, participants increasingly perceived COVID-19 to be a serious public health threat, reported more changes to their daily routine and plans, and reported greater preparedness. The proportion of respondents who believed they were “not at all likely” to get the virus decreased slightly (24.9 to 22.4%; p = 0.04), but there was no significant change in the proportion of those who were unable to accurately identify ways to prevent infection (29.2 to 25.7%; p 0.14). In multivariable analyses, black adults and those with lower health literacy were more likely to report less perceived susceptibility to COVID-19 (black adults: relative risk (RR) 1.62, 95% confidence interval (CI) 1.07–2.44, p = 0.02; marginal health literacy: RR 1.96, 95% CI 1.26–3.07, p < 0.01). Individuals with low health literacy remained more likely to feel unprepared for the outbreak (RR 1.80, 95% CI 1.11–2.92, p = 0.02) and to express confidence in the federal government response (RR 2.11, 95% CI 1.49–3.00, p < 0.001) Conclusions Adults at higher risk for COVID-19 continue to lack critical knowledge about prevention. While participants reported greater changes to daily routines and plans, disparities continued to exist in perceived susceptibility to COVID-19 and in preparedness. Public health messaging to date may not be effectively reaching vulnerable communities.

Background Communication in the pediatric intensive care unit (PICU) between families and the health care team affects the family experience, caregiver psychological morbidity, and patient outcomes. Objective To test the feasibility of studying and implementing a PICU communication intervention called PICU Supports, and to assess families’ and health care teams’ perceptions of the intervention. Methods This study involved patients requiring more than 24 hours of PICU care. An interventionist trained in PICU-focused health care navigation, a “navigator,” met with parents and the health care team to discuss communication, decision-making, emotional, informational, and discharge or end-of-life care needs; offered weekly family meetings; and checked in with parents after PICU discharge. The feasibility of implementing the intervention was assessed by tracking navigator activities. Health care team and family perceptions were assessed using surveys, interviews, and focus groups. Results Of 53 families approached about the study, 35 (66%) agreed to participate. The navigator met with parents on 71% and the health care team on 85% of possible weekdays, and completed 86% of the postdischarge check-ins. Family meetings were offered to 95% of eligible patients. The intervention was rated as helpful by 97% of parents, and comments during interviews were positive. Conclusions The PICU Supports intervention is feasible to implement and study and is viewed favorably by parents.

IMPORTANCE: The extent of clinician-level variation in the overuse of testing or treatment in older adults is not well understood. OBJECTIVE: To examine clinician-level variation for three new measures of potentially inappropriate use of medical services in older adults. DESIGN: Retrospective analysis of overall means and clinician-level variation in performance on three new measures. SUBJECTS: Adults aged 65 years and older who had office visits with outpatient primary or immediate care clinicians within a single academic medical center health system between July 1, 2016, and June 30, 2017. MEASURES: Two electronic clinical quality measures representing potentially inappropriate use of medical services in older adults: prostate-specific antigen testing against guidelines (PSA) in men aged 76 and older; urinalysis or urine culture for non-specific reasons in women aged 65 and older; and one intermediate outcome measure: hemoglobin A1c less than 7.0 in adults aged 75 and older with diabetes mellitus treated with insulin or oral hypoglycemic medication. RESULTS: Sixty-nine clinicians and 2009 patients contributed observations to the PSA measure, 144 clinicians and 5933 patients contributed to the urinalysis/urine culture measure, and 42 clinicians and 665 patients contributed to the diabetes measure. Meaningful clinician-level performance variation was greatest for the PSA measure (intraclass correlation coefficient [ICC] = 0.27), followed by the urinalysis/urine culture measure (ICC = 0.18), and the diabetes measure (ICC = 0.024). The range of possible overuse across clinician quartiles was 8–54% for the PSA measure, 3–35% for the urinalysis/urine culture measure, and 13–49% for the diabetes measure. The odds ratios of overuse in the highest quartile compared with the lowest for the PSA, urinalysis/urine culture, and diabetes measures were 99.3 (95% CI 43 to 228), 15.7 (10 to 24), and 6.0 (3.3 to 11), respectively. CONCLUSIONS: Within the same health system, rates of potential overuse in elderly patients varied greatly across clinicians, particularly for the process measures examined. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s11606-020-05748-8) contains supplementary material, which is available to authorized users.

Influenza vaccination is underused. We examined changes in vaccination following decision support and workflow changes in a cross-sectional analysis of three vaccination seasons among adult primary care patients from 21 practices. Interventions included clinical decision support changes to facilitate documentation; changes to rooming workflow for medical assistants and licensed practical nurses to promote vaccination, prepare orders, document care done elsewhere; and record patient refusals. We measured rates for a national vaccination performance measure and receipt of onsite vaccination. Approximately 120,000 patients were eligible each season. Performance on the quality measure increased each year (40.6% to 62.5% to 76.4%). Corresponding rates of onsite vaccination were 27.7%, 28.8%, and 31.5%. The adjusted odds ratio for onsite vaccination in the second season compared with the first was 0.94 (95% confidence interval [CI] 0.92, 0.96). Onsite vaccination was more likely in the third season compared with either previous season-adjusted odds ratio for third versus second 1.14 (95% CI, 1.12, 1.16) or adjusted odds ratio for third versus first 1.07 (95% CI 1.05-1.09). Sequential changes in decision support and patient rooming process workflows were associated with large improvements in measured performance and with a significant increase in clinic-administered influenza vaccination by the third season.

To transform primary care with the goal of achieving health equity, changes in the way the health care workforce is selected, trained, and ultimately delivers care should be expedited. Research has repeatedly shown the immense impact of the social determinants of health and the gaps related to health equity in the United States. Despite this knowledge, health care education and delivery systems have been slow to evolve. The Health Resources and Services Administration established the Academic Units for Primary Care Training and Enhancement to work towards strengthening the primary care workforce. Through their research, the six individual Academic Units (AU) have identified gaps related to health equity in their areas of focus. This article provides recommendations from the AUs on ways primary care health professions education can be transformed to advance health equity and serves as background for the articles to follow in the remainder of the supplement.

Objective Rheumatoid arthritis (RA) confers a 1.5‐ to 2.0‐fold increased risk of cardiovascular disease (CVD). A prior multifaceted quality improvement approach to improving CVD preventive care increased CVD risk factor assessments, but there was no significant effect on the management of risk factors. We tested the impact of adding a proactive outreach strategy promoting primary care treatment of CVD risk factors among patients with RA through their rheumatology practice. Methods Through electronic health record searches, we identified patients with RA who were potential candidates for hypertension treatment initiation or intensification, statin therapy, or a smoking‐cessation intervention. A nonclinician care manager contacted patients by phone and mail on behalf of the rheumatologists, provided information about the identified risk factor(s), recommend follow‐up with primary care physicians (PCPs), sent correspondence to PCPs, and followed up with patients to see what actions had been taken. We measured preventive cardiology quality indicators and compared preintervention and intervention time periods using interrupted time series methods. Results During the 6‐month intervention period, the proportion of patients prescribed at least moderate‐intensity statin treatment for primary prevention rose from 18.4% to 23.8%. The rate of increase was 1.06% greater per month than during the preceding period (P < 0.001). Rates of increase in hypertension diagnosis and control improved more rapidly during this phase (P < 0.001 for each) and reversed preceding negative trends. Conclusion Implementing proactive nonclinician outreach to encourage primary care–based treatment of CVD risk factors was associated with increases in statin prescribing and in hypertension diagnosis and control. Smoking was not affected.

This study surveyed the use of systematic strategies to address social determinants of health in the primary care clinical training environment.We designed a 51-item questionnaire targeting medical educators from internal medicine, pediatrics, and family practice to assess strategies to identify and mitigate social needs, the role of trainees in this process, and barriers/facilitators to systematic approaches.The survey was completed by 104 medical educators from 77 institutions. Of the 104 respondents, 28% were not familiar with any standardized tools used for screening for social needs, 27% use geospatial (GIS) or geographic information system (GIG) data, and 35% reported that trainees were not involved in any part of assisting.Nearly one third of medical educators lack familiarity with standardized screening tools for social needs. More than one third reported that trainees are not involved with mitigating social needs. Geospatial and GIS data are not utilized frequently.

Most residency programs do not provide trainees with health equity data for their clinic patients.Equity report cards were developed for internal and family medicine residents in a large health system. After considering which equity indictors were available, how to attribute patients to residents, and what level of granularity was feasible, equity reports were created for five ambulatory quality measures. Chi-square tests were used to test the significance of differences in quality measure satisfaction between groups.Attributing patients to the physician who had seen them for the greatest proportion of encounters performed best. Creating equity reports for individual resident panels was not possible due to insufficient numbers. Most measures had sufficient patients when combining all residents' patients. Inequities were identified for four of five examined measures.Creating aggregate equity reports for all primary care residents across multiple equity indicators was feasible, documenting disparities in health care quality.

Background Up to 60% of preventable mortality is attributable to social determinants of health (SDOH), yet training on SDOH competencies is not widely implemented in residency. The objective of this study was to assess internal and family medicine residents’ competence at identifying and addressing SDOH. Methods Residents’ perceived competence at identifying, discussing, and addressing SDOH in outpatient settings was assessed using a single questionnaire administered in March 2017. In this cross-sectional analysis, bivariate associations of resident characteristics with the following outcomes were examined: identifying, discussing, and addressing patients’ challenges related to SDOH through referrals. Results The survey was completed by 129 (84%) residents. Twenty residents (16%) reported an annual income of less than $50,000 during childhood. Overall, 108 residents (84%) reported previous SDOH training. Two-thirds had outpatient practices in Veterans Affairs or safety-net clinics. Thirty-nine (30%) intended to pursue a career in primary care. The following numbers of residents reported high levels of competence for performing these outcomes: identifying patients’ challenges related to SDOH: 37 (29%); discussing them with patients: 18 (14%); and addressing these challenges through referrals to internal and external resources: 13 (10%) and 11 (9%), respectively. Factors associated with higher competence included older age, lower childhood household income, prior education about SDOH, primary practice site and intention to practice primary care. Conclusions Most residents had previous SDOH training, yet only a small proportion of residents reported being highly competent at identifying or addressing SDOH. Providing opportunities for practical training may be a key component in preparing medical residents to identify and address SDOH effectively in outpatient practice.

A diverse and well-trained, distributed and resourced primary care workforce is essential for advancing health equity. However, few standardized models exist to guide health care professions education (HCPE) on core competencies regarding understanding and effectively addressing social determinants of health, social injustice, structural barriers, and the high burden of health needs in marginalized populations. We propose a framework with domains of policies and incentives, enabling institutional climate, educational content and integration, and community-orientation and community engagement. The framework encompasses inter-disciplinary team-based care and immersive community experiences to equip learners with cognitive skills and knowledge needed to understand and address unmet needs and ensure equitable access to the entire continuum of care. Research is needed to understand barriers and promoters of a health equity-guided HCPE, and standards for theory-driven curricular contents and metrics to evaluate and track progress. Multisector collaborations and demonstration projects may help guide standardized training on advancing health equity.

Purpose Examine associations between health literacy and several medication self-management constructs among a population of adults with uncontrolled hypertension. Patients and Methods Cross-sectional study of health center patients from the Chicago area with uncontrolled hypertension enrolled between April 2012 and February 2015. Medication self-management constructs-applied to hypertension medications, chronic condition medications and all medications-included: 1) medication reconciliation, 2) knowledge of drug indications, 3) understanding instructions and dosing, and 4) self-reported adherence over 4 days (no missed doses). We determined associations between health literacy and self-management outcomes using multivariable generalized linear regression. Results There were 1460 patients who completed screening interviews; 62.9% enrolled and had complete baseline data collected, and were included in the analysis. Of 919 participants, 47.4% had likely limited (low), 33.2% possibly limited, and 19.4% likely adequate health literacy. Compared to participants with likely adequate health literacy, participants with low health literacy were less likely to have chronic medications reconciled (18.0% versus 29.6%, p=0.007), know indications for chronic medications (64.1% versus 83.1%, p

Background Effective quality improvement (QI) strategies are needed for small practices. Objective The objective of this study was to compare practice facilitation implementing point-of-care (POC) QI strategies alone versus facilitation implementing point-of-care plus population management (POC+PM) strategies on preventive cardiovascular care. Design Two arm, practice-randomized, comparative effectiveness study. Participants Small and mid-sized primary care practices. Interventions Practices worked with facilitators on QI for 12 months to implement POC or POC+PM strategies. Measures Proportion of eligible patients in a practice meeting "ABCS" measures: (Aspirin) Aspirin/antiplatelet therapy for ischemic vascular disease, (Blood pressure) Controlling High Blood Pressure, (Cholesterol) Statin Therapy for the Prevention and Treatment of Cardiovascular Disease, and (Smoking) Tobacco Use: Screening and Cessation Intervention, and the Change Process Capability Questionnaire. Measurements were performed at baseline, 12, and 18 months. Results A total of 226 practices were randomized, 179 contributed follow-up data. The mean proportion of patients meeting each performance measure was greater at 12 months compared with baseline: Aspirin 0.04 (95% confidence interval: 0.02-0.06), Blood pressure 0.04 (0.02-0.06), Cholesterol 0.05 (0.03-0.07), Smoking 0.05 (0.02-0.07); P 0.05 for all. Change Process Capability Questionnaire improved slightly, mean change 0.30 (0.09-0.51) but did not significantly differ across arms. Conclusion Facilitator-led QI promoting population management approaches plus POC improvement strategies was not clearly superior to POC strategies alone.

Childhood obesity has increased significantly in the United States. Racial subgroups are often grouped into categories in research, limiting our understanding of disparities. This study describes the prevalence of obesity among youth of diverse racial and ethnic backgrounds receiving care at community health centers (CHCs). This cross-sectional study describes the prevalence of elevated body mass index (BMI) (≥85th percentile) and obesity (≥95th percentile) in youth aged 9 to 19 years receiving care in CHCs in 2014. Multilevel logistic regression estimated the prevalence of elevated BMI and obesity by age, race/ethnicity, and sex. Among 64 925 youth, 40% had elevated BMI and 22% were obese. By race, obesity was lowest in the combined Asian/Pacific Islander category (13%); however, when subgroups were separated, the highest prevalence was among Native Hawaiians (33%) and Other Pacific Islanders (42%) and the lowest in Asians. By sex, Black females and Hispanic and Asian males were more likely to be obese. By age, the highest prevalence of obesity was among those aged 9 to 10 years (25%). Youth served by CHCs have a high prevalence of obesity, with significant differences observed by race, sex, and age. Combining race categories obscures disparities. The heterogeneity of communities warrants research that describes different populations to address obesity.

Introduction: Multiple randomized clinical trials have shown that sodium-glucose cotransporter 2 (SGLT2) inhibitors and glucagon-like peptide 1 (GLP1) receptor agonists reduce the risk of cardiovascular events and mortality in patients with type 2 diabetes (T2D) and cardiovascular disease (CVD). In order to inform implementation strategies, we sought to describe prescribing trends among patients with T2D in clinical practice. Methods: We developed a clinical T2D cohort using a validated computable phenotype from the electronic data warehouse of a large academic health system among patients receiving care from January 1, 2013 through December 31, 2019. We retrospectively reviewed outpatient prescribing patterns in this cohort, and stratified results by CVD subtype (heart failure [HF] and atherosclerotic CVD [ASCVD]). Results: There were 23,485 patients identified with T2D. Mean (SD) age was 67 years (13), 46% were women, 61% were white, 32% had comorbid CVD (HF or ASCVD), and the mean (SD) hemoglobin A1c was 8.0% (5.7%). The majority of SGLT2 inhibitors and GLP1 receptor agonists were first prescribed by endocrinologists, 52% and 65% respectively. The prescription rate for both medication classes was low, and though SGLT2 inhibitor use increased over time (1% in 2013 to 14% in 2019; p Conclusions: Prescription rates of SGLT2 inhibitors and GLP1 receptor agonists remains low, especially for patients with T2D and CVD, despite a proven reduction in mortality and cardiovascular events. Strategies to increase the use of these proven medical therapies represent a major opportunity to improve outcomes in this high-risk group.

Background: There is a lack of evidence that long-term opioid use offers benefit for noncancer pain and an abundance of evidence of harm. Despite clinical guidelines and education, prescribing continues at a higher rate than before the opioids crisis. The objective of trial 1 of the Application of Economics & Social psychology to improve Opioid Prescribing Safety (AESOPS-1) is to discourage unnecessary opioid prescribing in primary care by applying “behavioral insights”—empirically-tested social and psychological interventions that affect choice. Methods: AESOPS-1 randomizes primary care clinics in Illinois and California to behavioral intervention or control. Both arms receive opioid guideline education. Clinics randomized to the behavioral intervention arm receive nudges within the electronic health record (EHR) including: 1) an “accountable justification” entered in the chart, 2) a precommitment to address high-risk prescriptions, and 3) a “PainTracker” that broadens discussions about pain. The control arm receives no EHR-based intervention. The primary outcome is the change in weekly milligram morphine equivalents (MME) prescribed. The secondary outcome is the change in the proportion of patients prescribed at least 50 daily MME. To evaluate these outcomes, we will use a difference-in-differences mixed-effects regression model on clinician MME weekly or daily dose. The analysis will be “intent-to-treat.” The intervention period is 18-months, with a 6-month follow-up period to measure persistence of effects. Discussion: The AESOPS-1 trial will evaluate the effect of EHR-based interventions in reducing noncancer opioid prescribing in primary care. AESOPS-1 may demonstrate practical and scalable strategies to lower unnecessary population exposure to opioids.

Accurate understanding of COVID-19 safety recommendations early in the outbreak was complicated by inconsistencies in public health and media messages. We sought to characterize high-risk adults' knowledge of COVID-19 symptoms, prevention strategies, and prevention behaviors. We used data from the Chicago COVID-19 Comorbidities (C3) survey collected between March 13 thru March 20, 2020. A total of 673 predominately older adults with ≥ 1 chronic condition completed the telephone interview. Knowledge was assessed by asking participants to name three symptoms of COVID-19 and three actions to prevent infection. Participants were then asked if and how they had changed plans due to coronavirus. Most participants could identify three symptoms (71.0%) and three preventive actions (69.2%). Commonly reported symptoms included: fever (78.5%), cough (70.6%), and shortness of breath (45.2%); preventive actions included: washing hands (86.5%) and social distancing (86.2%). More than a third of participants reported social distancing themselves (38.3%), and 28.8% reported obtaining prescription medication to prepare for the outbreak. In multivariable analyses, no participant characteristics were associated with COVID-19 knowledge. Women were more likely than men, and Black adults were less likely than White adults to report practicing social distancing. Individuals with low health literacy were less likely to report obtaining medication supplies. In conclusion, though most higher-risk individuals were aware of social distancing as a prevention strategy early in the outbreak, less than half reported enacting it, and racial disparities were apparent. Consistent messaging and the provision of tangible resources may improve future adherence to safety recommendations.

IMPORTANCE: Mobile applications (apps) may help improve hypertension self-management. OBJECTIVE: To investigate the effect of an artificial intelligence smartphone coaching app to promote home monitoring and hypertension-related behaviors on systolic blood pressure level compared with a blood pressure tracking app. DESIGN, SETTING, AND PARTICIPANTS: This was a 2-group, open, randomized clinical trial. Participants with uncontrolled hypertension were recruited in 2016 and 2017 and were followed up for 6 months. Data analysis was performed from April 2019 to December 2019. INTERVENTIONS: Intervention group participants received a smartphone coaching app to promote home monitoring and behavioral changes associated with hypertension self-management plus a home blood pressure monitor. Control participants received a blood pressure tracking app plus a home blood pressure monitor. MAIN OUTCOMES AND MEASURES: The primary study outcome was systolic blood pressure at 6 months. Secondary outcomes included self-reported antihypertensive medication adherence, home monitoring and self-management practices, measures of self-efficacy associated with blood pressure, weight, and self-reported health behaviors. RESULTS: There were 333 participants randomized, and 297 completed the follow-up assessment. Among the participants who completed the study, the mean (SD) age was 58.9 (12.8) years, 182 (61.3%) were women, and 103 (34.7%) were black. Baseline mean (SD) systolic blood pressure was 140.6 (12.2) mm Hg among intervention participants and 141.8 (13.4) mm Hg among control participants. After 6 months, the corresponding mean (SD) systolic blood pressures were 132.3 (15.0) mm Hg and 135.0 (13.9) mm Hg, with a between-group adjusted difference of −2.0 mm Hg (95% CI, −4.9 mm Hg to 0.8 mm Hg; P = .16). At 6 months, self-confidence in controlling blood pressure was greater in the intervention group (0.36 point on a 5-point scale; 95% CI, 0.18 point to 0.54 point; P

Rheumatoid arthritis (RA) increases cardiovascular disease (CVD) risk. However, CVD risk factor identification and treatment is often inadequate. The authors implemented a multifaceted rheumatology practice intervention to improve CVD risk factor measurement, assessment, and management. The intervention included clinician education, point-of-care decision support, feedback, and care management. The authors measured quality indicators from electronic health records and assessed impact with interrupted time series. Following the intervention, more RA patients had all major CVD risk factors assessed (53% vs 72.2%), and the rate of increase was greater during the intervention period than baseline (difference of 0.74% per month, P = .0016). Moderate- or high-intensity statin prescribing increased (21.6% to 28.2%), but the rate of change was not different from baseline. Several other quality measures did not increase. Although CVD risk factor assessment improved, the intervention did not affect risk factor management and control. Other strategies are needed to optimize CVD prevention in RA.

OBJECTIVES: To determine the prevalence of cognitive impairment no dementia (CIND) among a diverse, community-based population, and establish associations between CIND and health literacy, chronic disease self-management and functional health status. METHODS: 863 primary care adults without dementia aged 55–74. Adjusted logistic and linear regressions were used to assess associations between CIND (None, Mild, Moderate/Severe) and outcomes. RESULTS: 36% participants exhibited CIND. It was strongly associated with limited health literacy (Newest Vital Signs: Mild [OR 3.25; 95% CI 1.93, 5.49], Moderate/Severe [OR 6.45; 95% CI 3.16, 13.2]; Test of Functional Health Literacy in Adults: Mild [OR 3.46; 95% CI 2.08, 5.75], Moderate/Severe [OR 8.82; 95% CI 4.87, 16.0]; all p’s < 0.001) and poor chronic disease self-management (Mild [B = −11.2; 95% CI −13.5, −8.90], Moderate/Severe CI [B = −21.0; 95% CI −23.6, −18.4]; both p’s < 0.001). Associations between CIND and functional health status were nonsignificant. CONCLUSIONS: CIND was prevalent in this cohort, and strongly associated with requisite skills for managing everyday health needs. PRACTICE IMPLICATIONS: Attention to subtle declines in chronic disease self-care may assist with CIND identification and care management within this population. When CIND is observed, clinicians should also expect and address difficulties with self-management.

BACKGROUND: Federal incentives for electronic health record (EHR) use typically require quality measure reporting over calendar year or 90-day periods. However, required reporting periods may not align with time frames of real-world quality improvement (QI) efforts. This study described primary care practices’ ability to obtain measures with reporting periods aligning with a large QI initiative. METHODS: Researchers conducted a substudy of a randomized trial testing practice facilitation strategies for preventive cardiovascular care. Three quality measures (aspirin for ischemic vascular disease; blood pressure control for hypertension; smoking screening/cessation) were collected quarterly over one year. The primary outcome was a binary indicator of whether a practice facilitator obtained all three measures with “rolling 12-month” reporting periods (that is, the year preceding each study quarter). RESULTS: The study included 107 practices, 63 (58.9%) of which met the primary outcome of obtaining all measures with rolling 12-month reporting periods. Smaller practices were less likely to meet the primary outcome (p < 0.001). Practices used 11 different EHRs, 3 of which were unable to consistently produce rolling 12-month measures; at 33 practices (30.8%) using these 3 EHRs, facilitators met a secondary outcome of obtaining prior calendar year and rolling 3-month measures. Facilitators reported barriers to data collection such as practices lacking optional EHR features, and EHRs’ inability to produce reporting periods across two calendar years. CONCLUSION: EHR vendors’ compliance with federal reporting requirements is not necessarily sufficient to support real-world QI work. Improvements are needed in the flexibility and usability of EHRs’ quality measurement functions, particularly for smaller practices.

Updated cholesterol guidelines emphasize multivariable cardiovascular disease (CVD) risk estimation to guide treatment decision-making in primary prevention. This study tested the preliminary feasibility, acceptability and efficacy of point-of-care testing (POCT) and quantitative CVD risk assessment in high-risk adults to increase guideline-recommended statin use in primary prevention. Participants were aged 40–75 years, without CVD or diabetes mellitus, and potentially-eligible for consideration of statins based on estimated 10-year CVD risk from last-measured risk factor levels in the electronic health record. We performed POCT to facilitate quantitative CVD risk assessment with the Pooled Cohort Equations immediately before a scheduled primary care provider (PCP) visit. Outcomes were: physician documentation of a CVD risk discussion and statin prescription on the study date. We also assessed acceptability of the intervention through structured questionnaire. We recruited 18 participants (8 from an academic practice and 10 from a federally-qualified health clinic). After the intervention, 83% of participants discussed CVD risk with their PCP, 47% received a statin recommendation from their PCP, and 29% received a new statin prescription during the PCP visit. Participants reported high levels of satisfaction with the intervention. This study demonstrates that in initial testing pre-visit POCT and quantitative CVD risk assessment appears to be a feasible and acceptable intervention that may promote guideline-recommended statin initiation in primary prevention. Future research with an adequately powered trial is warranted to determine the effectiveness of this approach in clinical practice.

Objective This study aimed to develop and refine a patient education video about pneumococcal polysaccharide vaccination (PPSV23) and to assess patient perceptions regarding video content and receipt of video during a clinic visit. Methods Focus groups were conducted to obtain patient feedback on a brief video focusing on personal susceptibility to pneumonia and highlighting the importance of both childhood and adult vaccines. Subsequently, interviews were conducted with patients ages 65 and 66 who were shown the revised video at an office visit. We assessed attitudes toward the video and perceptions about its presentation at the point of care. Participants responded to open-ended items as well as Likert-type items with responses from 1 (strongly disagree) to 5 (strongly agree). Results Focus group participants (n = 26) had positive reactions to the video, but suggested reducing the intensity of messages about pneumonia severity. Participants (n = 73) shown the revised video during a clinic visit perceived it to be easy to understand (M = 4.83, SD = 0.58) and informative (M = 4.8, SD = 0.75). Conclusion Target audience feedback helped refine a video promoting PPSV23 vaccination; the video was well received by patients. Practice implications This video may be an effective educational tool to increase rates of PPSV23 vaccination.

We sought community health center (CHC) patients' feedback regarding an outreach intervention promoting primary prevention of cardiovascular disease to patients at increased risk. We performed a telephone survey that assessed whether patients recalled receiving the intervention, what actions occurred in response to the intervention, and patient attitudes regarding receipt of preventive service messages from their CHC. Participants (n = 80) were 89% male, and 59% were black. Among the 88% of respondents who reported a healthcare visit, 84% reported a discussion about cholesterol or heart disease risk with their provider, of these 44% reported a statin was recommended and 89% reported currently taking it. Participants reported high acceptability of receiving preventive service messages, but were less likely to agree that they wanted to receive preventive service messages via text or email compared to other modes of contact. Our results show that outreach programs to promote indicated preventive services were viewed positively by this patient group. We also identified areas where the CVD prevention program may have lost effectiveness., Highlights • Health center patients usually had clinic visits following preventive CVD outreach. • Patient-identified barriers to making a visit or taking medication were infrequent. • Cholesterol-lowering medication was recommended less than half of the time. • Health center outreach promoting preventive care services was viewed favorably. • Text or email messages were less preferred than phone, mail or in-person outreach.

Rationale, aims, and objectives Lipid screening is central to cardiovascular risk assessment. We sought to determine whether a simple mailed outreach message and facilitated test ordering increase cholesterol screening among federally qualified community health center patients with no recent cholesterol screening test performed. Methods Using a patient-randomized controlled trial, we examined the effects of delivering a simple mailed outreach intervention promoting cholesterol testing and facilitated test ordering (without requiring an office visit). Participants were adult patients 50 to 75 years old, with no diagnosed cardiovascular disease or diabetes, and no cholesterol test within 5 years who had received care from community health centers in Illinois and Arizona. The intervention took place in 2014 and was powered to detect a 10% increase in screening due to the intervention. Results Participantsˈ (n = 480) mean age was 57.5 years, 51.0% were male, and 43.8% were smokers. There was no significant difference between groups in the primary study outcome—completion of total cholesterol and high-density lipoprotein cholesterol tests or complete lipid panel within 3 months; 32 participants (13.3%) in intervention group versus 26 (10.8%) in control group met the primary outcome, with absolute difference of 2.5 percentage points (95% confidence interval −6.6 to 11.6). Conclusions This outreach intervention promoting cholesterol screening was ineffective. Interventions that attempt to minimize barriers to cholesterol screening on multiple fronts and that are more compelling to patients are needed.

Stakeholder-developed interventions are needed to support pediatric intensive care unit (PICU) communication and decision-making. Few publications delineate methods and outcomes of stakeholder engagement in research. We describe the process and impact of stakeholder engagement on developing a PICU communication and decision-making support intervention. We also describe the resultant intervention. Stakeholders included parents of PICU patients, healthcare team members (HTMs), and research experts. Through a year-long iterative process, we involved 96 stakeholders in 25 meetings and 26 focus groups or interviews. Stakeholders adapted an adult navigator model by identifying core intervention elements and then determining how to operationalize those core elements in pediatrics. The stakeholder input led to PICU-specific refinements, such as supporting transitions after PICU discharge and including ancillary tools. The resultant intervention includes navigator involvement with parents and HTMs and navigator-guided use of ancillary tools. Subsequent research will test the feasibility and efficacy of our intervention.

Among the most promising quality improvement (QI) interventions for small primary care practices are those led by practice facilitators (PFs), specially trained individuals who help practices develop capacity for continuous QI.1 2 They provide coaching on best practices for QI implementation, including using technology to improve care.3 PF-led QI initiatives are positively associated with guideline adoption,4 5 and may be cost-neutral if they reduce even a small number of high cost events (eg, admissions).6 As part of Healthy Hearts in the Heartland (H3), a programme from the Agency for Healthcare Research and Quality’s EvidenceNow initiative, PFs worked with small and medium-sized primary care practices to implement QI strategies for cardiovascular disease prevention.7 To identify lessons learnt from the programme, we interviewed practice leaders and PFs from practices that experienced the largest and smallest gains in quality scores to understand their experiences. All participating practices were assigned a primary PF for 12 months who met with practices on demand, typically once a month. PFs offered practices QI interventions related to the ABCS of heart health (Aspirin therapy, Blood pressure control, Cholesterol management, and Smoking screening and cessation) with the goal of …

Background Individuals with type 2 diabetes manage complex multi-drug regimens, but nearly half of all patients do not consistently take the dose prescribed for them, and therefore may not receive the full potential therapeutic benefit. Both patient and health system factors contribute to achieving and maintaining medication adherence. To determine if patients with type 2 diabetes who are concurrently managing other chronic conditions could improve their adherence, we devised and are testing a multifaceted, primary care-based strategy to provide health literacy-appropriate and language concordant regimen information, guidance and reminders. Objective We are testing the effectiveness of an electronic health record (EHR) based strategy and short message service (SMS) text reminders to help patients with type 2 diabetes adhere to their medications. Methods We are conducting a 3-arm, multi-site trial to test and compare the effectiveness of the EHR, and EHR + SMS text reminder strategies compared to usual care on medication adherence. Our goal is to enroll a total of 900 English or Spanish-speaking patients with type 2 diabetes and hemoglobin A1C value ≥7.5%. Enrolled participants will complete interviews at baseline and 3 and 6 months following their baseline interview. Conclusions Our trial is evaluating practical, clinic-based, scalable, evidence-based solutions for patients with type 2 diabetes managing complex medication regimens. Our findings will evaluate strategies that can be implemented broadly in primary care practices, and programmed as defaults within EHRs to support appropriate medication adherence to allow the widespread implementation of those strategies.

Care delivery concepts such as healthcare quality, safety, equity, and teamwork are crucial in the care of patients. While the importance of these concepts becomes self-evident to many clerkship students, engaging pre-clerkship students has proven challenging. We created a three-session, case-based learning (CBL) curriculum that deliberately integrated care delivery concepts and basic science content. In this format, students demonstrated increased understanding of concept relevance and faculty assessments showed improved knowledge acquisition. CBL is both feasible and acceptable to pre-clerkship students as a method to teach care delivery topics.

Background Hypertension is a major cause of morbidity and mortality but frequently remains uncontrolled. A smartphone application that provides coaching regarding home blood pressure monitoring and other aspects of hypertension self-care and related behavior change may be a scalable way to help manage hypertension. Methods/design The Smart Hypertension Control Study is a prospective, randomized controlled trial to assess the effects of a hypertension personal control program (HPCP), which consists of an automated artificial intelligence smartphone application that provides individualized support and coaching to promote home monitoring and healthy behavior changes related to hypertension self-management. Enrolled adults with uncontrolled hypertension will be randomized in a 1:1 fashion to the HPCP with home blood pressure monitoring or to home monitoring alone. We plan to enroll 350 participants, with a target of 300 participants with complete six-month follow-up data. The primary study outcome will be systolic blood pressure at six months. Additional outcomes include measures of antihypertensive medication adherence, home blood pressure monitoring practices, self-management practices, weight, and self-reported health behaviors. Conclusion The Smart Hypertension Control Study will evaluate blood pressure and hypertension self-management behavior outcomes in participants with uncontrolled hypertension exposed to a smartphone-based hypertension health coaching application in addition to home blood pressure monitoring compared to those exposed to home blood pressure monitoring alone.

Importance Complex medication regimens pose self-management challenges, particularly among populations with low levels of health literacy. Objective To test medication management tools delivered through a commercial electronic health record (EHR) with and without a nurse-led education intervention. Design, Setting, and Participants This 3-group cluster randomized clinical trial was performed in community health centers in Chicago, Illinois. Participants included 794 patients with hypertension who self-reported using 3 or more medications concurrently (for any purpose). Data were collected from April 30, 2012, through February 29, 2016, and analyzed by intention to treat. Interventions Clinics were randomly assigned to to groups: electronic health record–based medication management tools (medication review sheets at visit check-in, lay medication information sheets printed after visits; EHR-alone group), EHR-based tools plus nurse-led medication management support (EHR plus education group), or usual care. Main Outcomes and Measures Outcomes at 12 months included systolic blood pressure (primary outcome), medication reconciliation, knowledge of drug indications, understanding of medication instructions and dosing, and self-reported medication adherence. Medication outcomes were assessed for all hypertension prescriptions, all prescriptions to treat chronic disease, and all medications. Results Among the 794 participants (68.6% women; mean [SD] age, 52.7 [9.6] years), systolic blood pressure at 12 months was greater in the EHR-alone group compared with the usual care group by 3.6 mm Hg (95% CI, 0.3 to 6.9 mm Hg). Systolic blood pressure in the EHR plus education group was not significantly lower compared with the usual care group (difference, −2.0 mm Hg; 95% CI, −5.2 to 1.3 mm Hg) but was lower compared with the EHR-alone group (−5.6 mm Hg; 95% CI, −8.8 to −2.4 mm Hg). At 12 months, hypertension medication reconciliation was improved in the EHR-alone group (adjusted odds ratio [OR], 1.8; 95% CI, 1.1 to 2.9) and the EHR plus education group (adjusted odds ratio [OR], 2.0; 95% CI, 1.3 to 3.3) compared with usual care. Understanding of medication instructions and dosing was greater in the EHR plus education group than the usual care group for hypertension medications (OR, 2.3; 95% CI, 1.1 to 4.8) and all medications combined (OR, 1.7; 95% CI, 1.0 to 2.8). Compared with usual care, the EHR tools alone and EHR plus education interventions did not improve hypertension medication adherence (OR, 0.9; 95% CI, 0.6-1.4 for both) or knowledge of chronic drug indications (OR for EHR tools alone, 1.0 [95% CI, 0.6 to 1.5] and OR for EHR plus education, 1.1 [95% CI, 0.7-1.7]). Conclusions and Relevance The study found that EHR tools in isolation improved medication reconciliation but worsened blood pressure. Combining these tools with nurse-led support suggested improved understanding of medication instructions and dosing but did not lower blood pressure compared with usual care. Trial Registration ClinicalTrials.gov identifier:NCT01578577

Background The Healthy Hearts in the Heartland (H3) study is part of a nationwide effort, EvidenceNOW, seeking to better understand the ability of small primary care practices to improve “ABCS” clinical quality measures: appropriate Aspirin therapy, Blood pressure control, Cholesterol management, and Smoking cessation. H3 aimed to assess feasibility of implementing Point-of-Care (POC) or POC plus Population Management (POC + PM) quality improvement (QI) strategies to improve ABCS at practices in Illinois, Indiana, and Wisconsin. We describe the design and randomization of the H3 study. Methods We conducted a two-arm (1:1, POC:POC + PM), practice-randomized, comparative effectiveness study in 226 primary care practices across four “waves” of randomization with a 12-month intervention period, followed by a six-month sustainability period. Randomization controlled imbalance in nine baseline variables through a modified constrained algorithm. Among others, we used initial, unverified estimates of baseline ABCS values. Results We randomized 112 and 114 practices to POC and POC + PM arms, respectively. Randomization ensured baseline comparability for all nine key variables, including the ABCS measures indicating proportion of patients at the practice level meeting each quality measure. Median(Inner Quartile Range) values were A: 0.78(0.66–0.86) in POC arm vs. 0.77(0.63–0.86) in POC + PM arm, B: 0.64(0.53–0.73) vs. 0.64(0.53–0.75), C: 0.78(0.63–0.86) vs. 0.75(0.64–0.81), S: 0.80(0.65–0.81) vs. 0.79(0.61–0.91). Discussion Surrogate estimates for the true ABCS at baseline coupled with the unique randomization logic achieved adequate baseline balance on these outcomes. Similar practice- or cluster-randomized trials may consider adaptations of this design. Final analyses on 12- and 18-month ABCS outcomes for the H3 study are forthcoming. Trial registration This trial is registered on ClinicalTrials.gov (Initial post: 11/05/2015; identifier: NCT02598284 ; https://clinicaltrials.gov/ct2/show/NCT02598284?term=NCT02598284&rank=1 ).

Low-Vt ventilation lowers mortality in patients with acute respiratory distress syndrome (ARDS) but is underused. Little is known about clinician attitudes toward and perceived barriers to low-Vt ventilation use and their association with actual low-Vt ventilation use.The objectives of this study were to assess clinicians' attitudes toward and perceived barriers to low-Vt ventilation (Vt6.5 ml/kg predicted body weight) in patients with ARDS, to identify differences in attitudes and perceived barriers among clinician types, and to compare attitudes toward and perceived barriers to actual low-Vt ventilation use in patients with ARDS.We conducted a survey of critical care physicians, nurses, and respiratory therapists at four non-ARDS Network hospitals in the Chicago region. We compared survey responses with performance in a cohort of 362 patients with ARDS.Survey responses included clinician attitudes toward and perceived barriers to low-Vt ventilation use. We also measured low-Vt ventilation initiation by these clinicians in 347 patients with ARDS initiated after ARDS onset as well as correlation with clinician attitudes and perceived barriers. Of 674 clinicians surveyed, 467 (69.3%) responded. Clinicians had positive attitudes toward and perceived few process barriers to ARDS diagnosis or initiation of low-Vt ventilation. Physicians had more positive attitudes and perceived fewer barriers than nurses or respiratory therapists. However, use of low-Vt ventilation by all three clinician groups was low. For example, whereas physicians believed that 92.5% of their patients with ARDS warranted treatment with low-Vt ventilation, they initiated low-Vt ventilation for a median (interquartile range) of 7.4% (0 to 14.3%) of their eligible patients with ARDS. Clinician attitudes and perceived barriers were not correlated with low-Vt ventilation initiation.Clinicians had positive attitudes toward low-Vt ventilation and perceived few barriers to using it, but attitudes and perceived process barriers were not correlated with actual low-Vt ventilation use, which was low. Implementation strategies should be focused on examining other issues, such as ARDS recognition and process solutions, to improve low-Vt ventilation use.

This study examines assesses inappropriate antibiotic prescribing 12 months after stopping a randomized clinical trial of a behavioral intervention intended to reduce the rate of inappropriate antibiotic prescribing for acute respiratory infections.

Preventive services required for performance measurement often are completed in outside health systems and not captured in electronic medical records (EMRs). A before–after study was conducted to examine the ability of clinical decision support (CDS) to improve performance on preventive quality measures, capture clinician-reported services completed elsewhere, and patient/medical exceptions and to describe their impact on quality measurement. CDS improved performance on colorectal cancer screening, osteoporosis screening, and pneumococcal vaccination measures ( P < .05) but not breast or cervical cancer screening. CDS captured clinician-reported services completed elsewhere (2% to 10%) and patient/medical exceptions (

Healthcare professionals are rapidly adopting electronic health records (EHRs). Within EHRs, seemingly innocuous menu design configurations can influence provider decisions for better or worse. The purpose of this study was to examine whether the grouping of menu items systematically affects prescribing practices among primary care providers. We surveyed 166 primary care providers in a research network of practices in the greater Chicago area, of whom 84 responded (51 % response rate). Respondents and non-respondents were similar on all observable dimensions except that respondents were more likely to work in an academic setting. The questionnaire consisted of seven clinical vignettes. Each vignette described typical signs and symptoms for acute respiratory infections, and providers chose treatments from a menu of options. For each vignette, providers were randomly assigned to one of two menu partitions. For antibiotic-inappropriate vignettes, the treatment menu either listed over-the-counter (OTC) medications individually while grouping prescriptions together, or displayed the reverse partition. For antibiotic-appropriate vignettes, the treatment menu either listed narrow-spectrum antibiotics individually while grouping broad-spectrum antibiotics, or displayed the reverse partition. The main outcome was provider treatment choice. For antibiotic-inappropriate vignettes, we categorized responses as prescription drugs or OTC-only options. For antibiotic-appropriate vignettes, we categorized responses as broad- or narrow-spectrum antibiotics. Across vignettes, there was an 11.5 percentage point reduction in choosing aggressive treatment options (e.g., broad-spectrum antibiotics) when aggressive options were grouped compared to when those same options were listed individually (95 % CI: 2.9 to 20.1 %; p = .008). Provider treatment choice appears to be influenced by the grouping of menu options, suggesting that the layout of EHR order sets is not an arbitrary exercise. The careful crafting of EHR order sets can serve as an important opportunity to improve patient care without constraining physicians’ ability to prescribe what they believe is best for their patients.

Background Little is known about statin underutilization among diabetes mellitus patients cared for in community health centers, which tend to serve socioeconomically disadvantaged populations. Implications of the American College of Cardiology/American Heart Association ( ACC / AHA ) guidelines on preexisting gaps in statin treatment in this population are unclear. Methods and Results We included 32 440 adults (45% male, 63% nonwhite, 29% uninsured/Medicaid) aged 40 to 75 years with diabetes mellitus who received care within 16 community health center groups in 11 states in the Community Health Applied Research Network during 2013. Statin prescribing was analyzed as a function of concordance with the National Cholesterol Education Program Adult Treatment Panel 2001 and ACC / AHA 2013 guidelines. More patients’ treatments were concordant with the ACC / AHA (52.8%) versus the National Cholesterol Education Program Adult Treatment Panel (36.2%) guideline. Female sex was associated with lower concordance for both (odds ratio [ OR ] 0.90, CI 0.85‐0.94; and OR 0.84, CI 0.80‐0.88, respectively). Being insured, an Asian/Pacific Islander, or primarily Spanish speaking were associated with greater concordance for both guidelines: 35.5% (11 526/32 440) were concordant with neither guideline, the majority (79.7%) having no statin prescribed; 28.2% (9168/32 440) were concordant with ACC / AHA but not the National Cholesterol Education Program Adult Treatment Panel. 8.7% of these patients had a low‐density lipoprotein cholesterol >160 mg/dL despite having a moderate‐ or high‐intensity statin prescribed. And 11.6% (3772/32 440) were concordant with the National Cholesterol Education Program Adult Treatment Panel but not with ACC / AHA . Most of these patients had a low‐density lipoprotein cholesterol between 70 and 99 mg/dL with no or a low‐intensity statin prescribed. Conclusions Opportunities exist to improve cholesterol management in diabetes mellitus patients in community health centers. Addressing care gaps could improve cardiovascular disease prevention in this high‐risk population.

Background The current paradigm for cardiovascular disease (CVD) emphasises absolute risk assessment to guide treatment decisions in primary prevention. Although the derivation and validation of multivariable risk assessment tools, or CVD risk scores, have attracted considerable attention, their effect on clinical outcomes is uncertain. Objectives To assess the effects of evaluating and providing CVD risk scores in adults without prevalent CVD on cardiovascular outcomes, risk factor levels, preventive medication prescribing, and health behaviours. Search methods We searched the Cochrane Central Register of Controlled Trials (CENTRAL) in the Cochrane Library (2016, Issue 2), MEDLINE Ovid (1946 to March week 1 2016), Embase (embase.com) (1974 to 15 March 2016), and Conference Proceedings Citation Index-Science (CPCI-S) (1990 to 15 March 2016). We imposed no language restrictions. We searched clinical trial registers in March 2016 and handsearched reference lists of primary studies to identify additional reports. Selection criteria We included randomised and quasi-randomised trials comparing the systematic provision of CVD risk scores by a clinician, healthcare professional, or healthcare system compared with usual care (i.e. no systematic provision of CVD risk scores) in adults without CVD. Data collection and analysis Three review authors independently selected studies, extracted data, and evaluated study quality. We used the Cochrane 'Risk of bias' tool to assess study limitations. The primary outcomes were: CVD events, change in CVD risk factor levels (total cholesterol, systolic blood pressure, and multivariable CVD risk), and adverse events. Secondary outcomes included: lipid-lowering and antihypertensive medication prescribing in higher-risk people. We calculated risk ratios (RR) for dichotomous data and mean differences (MD) or standardised mean differences (SMD) for continuous data using 95% confidence intervals. We used a fixed-effects model when heterogeneity (I²) was at least 50% and a random-effects model for substantial heterogeneity (I² > 50%). We evaluated the quality of evidence using the GRADE framework. Main results We identified 41 randomised controlled trials (RCTs) involving 194,035 participants from 6422 reports. We assessed studies as having high or unclear risk of bias across multiple domains. Low-quality evidence evidence suggests that providing CVD risk scores may have little or no effect on CVD events compared with usual care (5.4% versus 5.3%; RR 1.01, 95% confidence interval (CI) 0.95 to 1.08; I² = 25%; 3 trials, N = 99,070). Providing CVD risk scores may reduce CVD risk factor levels by a small amount compared with usual care. Providing CVD risk scores reduced total cholesterol (MD −0.10 mmol/L, 95% CI −0.20 to 0.00; I² = 94%; 12 trials, N = 20,437, low-quality evidence), systolic blood pressure (MD −2.77 mmHg, 95% CI −4.16 to −1.38; I² = 93%; 16 trials, N = 32,954, low-quality evidence), and multivariable CVD risk (SMD −0.21, 95% CI −0.39 to −0.02; I² = 94%; 9 trials, N = 9549, low-quality evidence). Providing CVD risk scores may reduce adverse events compared with usual care, but results were imprecise (1.9% versus 2.7%; RR 0.72, 95% CI 0.49 to 1.04; I² = 0%; 4 trials, N = 4630, low-quality evidence). Compared with usual care, providing CVD risk scores may increase new or intensified lipid-lowering medications (15.7% versus 10.7%; RR 1.47, 95% CI 1.15 to 1.87; I² = 40%; 11 trials, N = 14,175, low-quality evidence) and increase new or increased antihypertensive medications (17.2% versus 11.4%; RR 1.51, 95% CI 1.08 to 2.11; I² = 53%; 8 trials, N = 13,255, low-quality evidence). Authors' conclusions There is uncertainty whether current strategies for providing CVD risk scores affect CVD events. Providing CVD risk scores may slightly reduce CVD risk factor levels and may increase preventive medication prescribing in higher-risk people without evidence of harm. There were multiple study limitations in the identified studies and substantial heterogeneity in the interventions, outcomes, and analyses, so readers should interpret results with caution. New models for implementing and evaluating CVD risk scores in adequately powered studies are needed to define the role of applying CVD risk scores in primary CVD prevention.

After implementing a multifaceted physician-directed quality improvement (QI) initiative, an increased disparity in low-density lipoprotein (LDL) cholesterol control between white and black diabetes patients was observed. To examine possible causes, a retrospective analysis of 962 black and white patients treated continuously between 2008 and 2010 was performed. At baseline, 55.0% of whites and 49.8% of blacks were controlled (5.2% disparity). The disparity increased, with 61.8% of whites and 44.6% of blacks having control in 2010 (17.2% disparity). Among patients uncontrolled at baseline, blacks were less likely to become controlled. Among patients controlled at baseline, blacks were less likely to remain controlled; accounting for patient characteristics and changes in lipid-lowering drug prescription regimens did not attenuate these relationships. Physician-facing, general QI interventions may be insufficient to produce equity in LDL cholesterol control. Helping patients maintain prior success controlling cholesterol appears as important in addressing this disparity as is helping uncontrolled patients achieve control.

Interventions based on behavioral science might reduce inappropriate antibiotic prescribing.To assess effects of behavioral interventions and rates of inappropriate (not guideline-concordant) antibiotic prescribing during ambulatory visits for acute respiratory tract infections.Cluster randomized clinical trial conducted among 47 primary care practices in Boston and Los Angeles. Participants were 248 enrolled clinicians randomized to receive 0, 1, 2, or 3 interventions for 18 months. All clinicians received education on antibiotic prescribing guidelines on enrollment. Interventions began between November 1, 2011, and October 1, 2012. Follow-up for the latest-starting sites ended on April 1, 2014. Adult patients with comorbidities and concomitant infections were excluded.Three behavioral interventions, implemented alone or in combination: suggested alternatives presented electronic order sets suggesting nonantibiotic treatments; accountable justification prompted clinicians to enter free-text justifications for prescribing antibiotics into patients' electronic health records; peer comparison sent emails to clinicians that compared their antibiotic prescribing rates with those of "top performers" (those with the lowest inappropriate prescribing rates).Antibiotic prescribing rates for visits with antibiotic-inappropriate diagnoses (nonspecific upper respiratory tract infections, acute bronchitis, and influenza) from 18 months preintervention to 18 months afterward, adjusting each intervention's effects for co-occurring interventions and preintervention trends, with random effects for practices and clinicians.There were 14,753 visits (mean patient age, 47 years; 69% women) for antibiotic-inappropriate acute respiratory tract infections during the baseline period and 16,959 visits (mean patient age, 48 years; 67% women) during the intervention period. Mean antibiotic prescribing rates decreased from 24.1% at intervention start to 13.1% at intervention month 18 (absolute difference, -11.0%) for control practices; from 22.1% to 6.1% (absolute difference, -16.0%) for suggested alternatives (difference in differences, -5.0% [95% CI, -7.8% to 0.1%]; P = .66 for differences in trajectories); from 23.2% to 5.2% (absolute difference, -18.1%) for accountable justification (difference in differences, -7.0% [95% CI, -9.1% to -2.9%]; P .001); and from 19.9% to 3.7% (absolute difference, -16.3%) for peer comparison (difference in differences, -5.2% [95% CI, -6.9% to -1.6%]; P .001). There were no statistically significant interactions (neither synergy nor interference) between interventions.Among primary care practices, the use of accountable justification and peer comparison as behavioral interventions resulted in lower rates of inappropriate antibiotic prescribing for acute respiratory tract infections.clinicaltrials.gov Identifier: NCT01454947.

Importance Large-scale DNA sequencing identifies incidental rare variants in established Mendelian disease genes, but the frequency of related clinical phenotypes in unselected patient populations is not well established. Phenotype data from electronic medical records (EMRs) may provide a resource to assess the clinical relevance of rare variants. Objective To determine the clinical phenotypes from EMRs for individuals with variants designated as pathogenic by expert review in arrhythmia susceptibility genes. Design, Setting, and Participants This prospective cohort study included 2022 individuals recruited for nonantiarrhythmic drug exposure phenotypes from October 5, 2012, to September 30, 2013, for the Electronic Medical Records and Genomics Network Pharmacogenomics project from 7 US academic medical centers. Variants in SCN5A and KCNH2 , disease genes for long QT and Brugada syndromes, were assessed for potential pathogenicity by 3 laboratories with ion channel expertise and by comparison with the ClinVar database. Relevant phenotypes were determined from EMRs, with data available from 2002 (or earlier for some sites) through September 10, 2014. Exposures One or more variants designated as pathogenic in SCN5A or KCNH2 . Main Outcomes and Measures Arrhythmia or electrocardiographic (ECG) phenotypes defined by International Classification of Diseases, Ninth Revision ( ICD-9 ) codes, ECG data, and manual EMR review. Results Among 2022 study participants (median age, 61 years [interquartile range, 56-65 years]; 1118 [55%] female; 1491 [74%] white), a total of 122 rare (minor allele frequency ICD-9 code for arrhythmia was found in 11 of 63 (17%) variant carriers vs 264 of 1959 (13%) of those without variants (difference, +4%; 95% CI, −5% to +13%; P = .35). In the 1270 (63%) with ECGs, corrected QT intervals were not different in variant carriers vs those without (median, 429 vs 439 milliseconds; difference, −10 milliseconds; 95% CI, −16 to +3 milliseconds; P = .17). After manual review, 22 of 63 participants (35%) with designated variants had any ECG or arrhythmia phenotype, and only 2 had corrected QT interval longer than 500 milliseconds. Conclusions and Relevance Among laboratories experienced in genetic testing for cardiac arrhythmia disorders, there was low concordance in designating SCN5A and KCNH2 variants as pathogenic. In an unselected population, the putatively pathogenic genetic variants were not associated with an abnormal phenotype. These findings raise questions about the implications of notifying patients of incidental genetic findings.

Although cholesterol guidelines emphasize cardiovascular disease (CVD) risk to guide primary prevention, predictors of statin use in practice are unknown. We aimed to identify factors associated with a cholesterol treatment discussion and statin prescribing in a high-risk population.We used data from a trial conducted among participants in community health centers without CVD or diabetes and a 10-year coronary heart disease (CHD) risk≥10%. Cholesterol treatment discussion was assessed at 6months and statin prescription at 1year. We used logistic regressions to identify factors associated with each outcome.We analyzed 646 participants (89% male, mean age 60±9.5years). Cholesterol treatment discussion occurred in 19% and statin prescription in 12% of participants. Ten-year CHD risk was not associated with treatment discussion (OR 1.11 per 1 SD increase, 95% CI 0.91-1.33) but was associated with statin prescription (OR 1.41 per 1 SD increase, 95% CI 1.13-1.75) in unadjusted models. After adjusting for traditional CVD risk factors that contribute to CHD risk, low-density lipoprotein cholesterol (LDL-C) was independently associated with statin prescription (OR 1.82 per 1 SD increase, 95% CI 1.66-1.99). Antihypertensive medication use was independently associated with both cholesterol treatment discussion (OR 3.68, 95% CI 2.35-5.75) and statin prescription (OR 3.98, 95% CI 3.30-4.81). Other drivers of CVD risk (age, smoking, and systolic blood pressure) were not associated with statin use.Single risk factor management strongly influences cholesterol treatment discussions and statin prescribing patterns. Interventions that promote risk-based statin utilization are needed.Clinicaltrials.gov.: NCT01610609.