Population-Wide Screening for Chronic Kidney Disease : A Cost-Effectiveness Analysis.

BACKGROUND: Sodium-glucose cotransporter-2 (SGLT2) inhibitors have the potential to alter the natural history of chronic kidney disease (CKD), and they should be included in cost-effectiveness analyses of screening for CKD. OBJECTIVE: To determine the cost-effectiveness of adding population-wide screening for CKD. DESIGN: Markov cohort model. DATA SOURCES: NHANES (National Health and Nutrition Examination Survey), U.S. Centers for Medicare & Medicaid Services data, cohort studies, and randomized clinical trials, including the DAPA-CKD (Dapagliflozin and Prevention of Adverse Outcomes in Chronic Kidney Disease) trial. TARGET POPULATION: Adults. TIME HORIZON: Lifetime. PERSPECTIVE: Health care sector. INTERVENTION: Screening for albuminuria with and without adding SGLT2 inhibitors to the current standard of care for CKD. OUTCOME MEASURES: Costs, quality-adjusted life-years (QALYs), and incremental cost-effectiveness ratios (ICERs), all discounted at 3% annually. RESULTS OF BASE-CASE ANALYSIS: One-time CKD screening at age 55 years had an ICER of $86 300 per QALY gained by increasing costs from $249 800 to $259 000 and increasing QALYs from 12.61 to 12.72; this was accompanied by a decrease in the incidence of kidney failure requiring dialysis or kidney transplant of 0.29 percentage points and an increase in life expectancy from 17.29 to 17.45 years. Other options were also cost-effective. During ages 35 to 75 years, screening once prevented dialysis or transplant in 398 000 people and screening every 10 years until age 75 years cost less than $100 000 per QALY gained. RESULTS OF SENSITIVITY ANALYSIS: When SGLT2 inhibitors were 30% less effective, screening every 10 years during ages 35 to 75 years cost between $145 400 and $182 600 per QALY gained, and price reductions would be required for screening to be cost-effective. LIMITATION: The efficacy of SGLT2 inhibitors was derived from a single randomized controlled trial. CONCLUSION: Screening adults for albuminuria to identify CKD could be cost-effective in the United States. PRIMARY FUNDING SOURCE: Agency for Healthcare Research and Quality, Veterans Affairs Office of Academic Affiliations, and National Institute of Diabetes and Digestive and Kidney Diseases.

Opportunities to Enhance the Implementation of Veterans Affairs Video-Based Care: Qualitative Perspectives of Providers from Diverse Specialties.

BACKGROUND: Increasing the adoption of digital care tools, including video visits, is a long-term goal for the US Department of Veterans Affairs (VA). While previous work has highlighted patient-specific barriers to the use of video visits, few have examined how clinicians view such barriers and how they have overcome them during the rapid uptake of web-based care. OBJECTIVE: This study sought input from providers, given their role as critical participants in video visit implementation, to qualitatively describe successful strategies providers used to adapt their practices to a web-based care setting. METHODS: We conducted interviews with 28 VA providers (physicians and nurse practitioners) from 4 specialties that represent diverse clinical services: primary care (n=11), cardiology (n=7), palliative care (n=5), and spinal cord injury (n=5). All interviews were audio recorded and transcribed, and transcripts were reviewed and coded according to an iteratively created codebook. To identify themes, codes were grouped together into categories, and participant comments were reviewed for repetition and emphasis on specific points. Finally, themes were mapped to Expert Recommendations for Implementing Change (ERIC) strategies to identify evidence-based opportunities to support video visit uptake in the VA. RESULTS: Interviewees were mostly female (57%, 16/28), with an average age of 49 years and with 2-20 years of experience working in the VA across 16 unique VA facilities. Most providers (82%, 23/28) worked in urban facilities. Many interviewees (78%, 22/28) had some experience with video visits prior to the COVID-19 pandemic, though a majority (61%, 17/28) had conducted fewer than 50 video visits in the quarter prior to recruitment. We identified four primary themes related to how providers adapt their practices to a web-based care setting: (1) peer-based learning and support improved providers' perceived value of and confidence in video visits, (2) providers developed new and refined existing communication and clinical skills to optimize video visits, (3) providers saw opportunities to revisit and refine team roles to optimize the value of video visits for their care teams, and (4) implementing and sustaining web-based care requires institutional and organizational support. We identified several ERIC implementation strategies to support the use of video visits across the individual-, clinic-, and system-levels that correspond to these themes: (1) individual-level strategies include the development of educational materials and conducting education meetings, (2) clinic-level strategies include identifying champions and revising workflows and professional roles, and (3) system-level strategies include altering incentive structures, preparing implementation blueprints, developing and implementing tools for quality monitoring, and involving executive leadership to encourage adoption. CONCLUSIONS: This work highlights strategies to support video visits that align with established ERIC implementation constructs, which can be used by health care systems to improve video visit implementation.

Cost-Effectiveness of Dapagliflozin for Non-diabetic Chronic Kidney Disease.

BACKGROUND: In the USA, chronic kidney disease (CKD) affects 1 in 7 adults and costs $100 billion annually. The DAPA-CKD trial found dapagliflozin, a sodium glucose co-transporter 2 (SGLT2) inhibitor, to be effective in reducing CKD progression and mortality in patients with diabetic and non-diabetic CKD. Currently, SGLT2 inhibitors are not considered standard of care for patients with non-diabetic CKD. OBJECTIVE: Determine the cost-effectiveness of adding dapagliflozin to standard management of patients with non-diabetic CKD. DESIGN: Markov model with lifetime time horizon and US healthcare sector perspective. PATIENTS: Patients with non-diabetic CKD INTERVENTION: Dapagliflozin plus standard care versus standard care only. MAIN MEASURES: Quality-adjusted life years (QALYs), costs, and incremental cost-effectiveness ratios (ICERs), all discounted at 3% annually; total incidence of kidney failure on kidney replacement therapy; average years on kidney replacement therapy. KEY RESULTS: Adding dapagliflozin to standard care improved life expectancy by 2 years, increased discounted QALYS (from 6.75 to 8.06), and reduced the total incidence of kidney failure on kidney replacement therapy (KRT) (from 17.4 to 11.0%) and average years on KRT (from 0.77 to 0.43) over the lifetime of the cohort. Dapagliflozin plus standard care was more effective than standard care alone while increasing lifetime costs (from $245,900 to $324,8900, or $60,000 per QALY gained). Results were robust to variations in assumptions about dapagliflozin's efficacy over time and by CKD stage, added costs of kidney replacement therapy, and expected population annual CKD progression rates and sensitive to the cost of dapagliflozin. The net 1-year budgetary implication of treating all US patients with non-diabetic CKD could be up to $21 billion. CONCLUSIONS: Dapagliflozin improved life expectancy and reduced progression of CKD, the proportion of patients requiring kidney replacement therapy, and time on kidney replacement therapy in patients with non-diabetic CKD. Use of dapagliflozin meets conventional criteria for cost-effectiveness.

A Retrospective Analysis of Medical Student Performance Evaluations, 2014-2020: Recommend with Reservations.

BACKGROUND: The Medical Student Performance Evaluations (MSPE) is a cornerstone of residency applications. Little is known regarding adherence to Association of American Medical Colleges (AAMC) MSPE recommendations and longitudinal changes in MSPE content. OBJECTIVES: Evaluate current MSPE quality and longitudinal changes in MSPE and grading practices. DESIGN: Retrospective analysis. PARTICIPANTS: Students from all Liaison Committee on Medical Education (LCME)-accredited medical schools from which the Stanford University Internal Medicine residency program received applications between 2014-2015 and 2019-2020. MAIN MEASURES: Inclusion of key words to describe applicant performance and metrics thereof, including distribution among students and key word assignment explanation; inclusion of clerkship grades, grade distributions, and grade composition; and evidence of grade inflation over time. KEY RESULTS: MSPE comprehensiveness varied substantially among the 149 schools analyzed. In total, 25% of schools provided complete information consistent with AAMC recommendations regarding key word/categorization of medical students and clerkship grades in 2019-2020. Seventy-seven distinct key word terms appeared across the 139 schools examined in 2019-2020. Grading practices markedly varied, with 2-83% of students receiving the top internal medicine clerkship grade depending on the year and school. Individual schools frequently changed key word and grading practices, with 33% and 18% of schools starting and/or stopping use of key words and grades, respectively. Significant grade inflation occurred over the 6-year study period, with an average 14% relative increase in the proportion of students receiving top clerkship grades. CONCLUSIONS: A minority of schools complies with AAMC MSPE guidelines, and MSPEs are inconsistent across time and schools. These practices may impair evaluation of students within and between schools.

Equity in the Setting of Heart Failure Diagnosis: An Analysis of Differences Between and Within Clinician Practices.

BACKGROUND: Timely heart failure (HF) diagnosis can lead to earlier intervention and reduced morbidity. Among historically marginalized patients, new-onset HF diagnosis is more likely to occur in acute care settings (emergency department or inpatient hospitalization) than outpatient settings. Whether inequity within outpatient clinician practices affects diagnosis settings is unknown. METHODS: We determined the setting of incident HF diagnosis among Medicare fee-for-service beneficiaries between 2013 and 2017. We identified sociodemographic and medical characteristics associated with HF diagnosis in the acute care setting. Within each outpatient clinician practice, we compared acute care diagnosis rates across sociodemographic characteristics: female versus male sex, non-Hispanic White versus other racial and ethnic groups, and dual Medicare-Medicaid eligible (a surrogate for low income) versus nondual-eligible patients. Based on within-practice differences in acute diagnosis rates, we stratified clinician practices by equity (high, intermediate, and low) and compared clinician practice characteristics. RESULTS: Among 315 439 Medicare patients with incident HF, 173 121 (54.9%) were first diagnosed in acute care settings. Higher adjusted acute care diagnosis rates were associated with female sex (6.4% [95% CI, 6.1%-6.8%]), American Indian (3.6% [95% CI, 1.1%-6.1%]) race, and dual eligibility (4.1% [95% CI, 3.7%-4.5%]). These differences persisted within clinician practices. With clinician practice adjustment, dual-eligible patients had a 4.9% (95% CI, 4.5%-5.4%) greater acute care diagnosis rate than nondual-eligible patients. Clinician practices with greater equity across dual eligibility also had greater equity across sex and race and ethnicity and were more likely to be composed of predominantly primary care clinicians. CONCLUSIONS: Differences in HF diagnosis rates in the acute care setting between and within clinician practices highlight an opportunity to improve equity in diagnosing historically marginalized patients.

Equity in Heart Failure Care: A Get With the Guidelines Analysis of Between- and Within-Hospital Differences in Care by Sex, Race, Ethnicity, and Insurance.

BACKGROUND: Disparities in guideline-based quality measures likely contribute to differences in heart failure (HF) outcomes. We evaluated between- and within-hospital differences in the quality of care across sex, race, ethnicity, and insurance for patients hospitalized for HF. METHODS: This retrospective analysis included patients hospitalized for HF across 596 hospitals in the Get With the Guidelines-HF registry between 2016 and 2021. We evaluated performance across 7 measures stratified by patient sex, race, ethnicity, and insurance. We evaluated differences in performance with and without adjustment for the treating hospital. We also measured variation in hospital-specific disparities. RESULTS: Among 685 227 patients, the median patient age was 72 (interquartile range, 61-82) and 47.2% were women. Measure performance was significantly lower (worse) for women compared with men for all 7 measures before adjustment. For 4 of 7 measures, there were no significant sex-related differences after patient-level adjustment. For 20 of 25 other comparisons, racial and ethnic minorities and Medicaid/uninsured patients had similar or higher (better) adjusted measure performance compared with White and Medicare/privately insured patients, respectively. Angiotensin receptor neprilysin inhibitor measure performance was significantly lower for Asian, Hispanic, and Medicaid/uninsured patients, and cardiac resynchronization therapy implant/prescription was lower among women and Black patients after hospital adjustment, indicating within-hospital differences. There was hospital-level variation in these differences. For cardiac resynchronization therapy implantation/prescription, 278 hospitals (46.6%) had ≥2% lower implant/prescription for Black versus White patients compared with 109 hospitals (18.3%) with the same or higher cardiac resynchronization therapy implantation/prescription for Black patients. CONCLUSIONS: HF quality measure performance was equitable for most measures. There were within-hospital differences in angiotensin receptor neprilysin inhibitor and cardiac resynchronization therapy implant/prescription for historically marginalized groups. The magnitude of hospital-specific disparities varied across hospitals.

The prevalence of cardiovascular disease risk factors among adults living in extreme poverty.

Evidence on cardiovascular disease (CVD) risk factor prevalence among adults living below the World Bank's international line for extreme poverty (those with income <$1.90 per day) globally is sparse. Here we pooled individual-level data from 105 nationally representative household surveys across 78 countries, representing 85% of people living in extreme poverty globally, and sorted individuals by country-specific measures of household income or wealth to identify those in extreme poverty. CVD risk factors (hypertension, diabetes, smoking, obesity and dyslipidaemia) were present among 17.5% (95% confidence interval (CI) 16.7-18.3%), 4.0% (95% CI 3.6-4.5%), 10.6% (95% CI 9.0-12.3%), 3.1% (95% CI 2.8-3.3%) and 1.4% (95% CI 0.9-1.9%) of adults in extreme poverty, respectively. Most were not treated for CVD-related conditions (for example, among those with hypertension earning <$1.90 per day, 15.2% (95% CI 13.3-17.1%) reported taking blood pressure-lowering medication). The main limitation of the study is likely measurement error of poverty level and CVD risk factors that could have led to an overestimation of CVD risk factor prevalence among adults in extreme poverty. Nonetheless, our results could inform equity discussions for resource allocation and design of effective interventions.

Treatment Differences in Medical Therapy for Heart Failure With Reduced Ejection Fraction Between Sociodemographic Groups.

BACKGROUND: There are sociodemographic disparities in outcomes of heart failure with reduced ejection fraction (HFrEF), but disparities in guideline-directed medical therapy (GDMT) remain poorly characterized. OBJECTIVES: This study aimed to analyze GDMT treatment rates in eligible patients with recently diagnosed HFrEF, and to determine how rates vary by sociodemographic characteristics. METHODS: This retrospective cohort study included patients diagnosed with HFrEF at Veterans Affairs (VA) hospitals from 2013 to 2019. The authors analyzed GDMT treatment rates and doses, excluding patients with contraindications. Therapies of interest were evidence-based beta-blockers (BBs), renin-angiotensin system inhibitors (RASIs), angiotensin receptor-neprilysin inhibitors (ARNIs), and mineralocorticoid antagonists (MRAs). The authors compared adjusted treatment rates by race and ethnicity, neighborhood social vulnerability, rurality, distance to medical care, and sex. RESULTS: The cohort comprised 126,670 VA patients with recently diagnosed HFrEF. The study found that racial and ethnic minorities had similar or higher treatment rates than White patients. Patients residing in socially vulnerable neighborhoods had 3.4% lower ARNI (95% CI: 1.9%-5.0%) treatment rates. Patients residing farther from specialty care had similar rates of GDMT therapy overall, but were less likely to be taking at least 50% of the target doses of either BBs (4.0% less likely; 95% CI: 3.1%-5.0%) or RASIs (5.0% less likely; 95% CI: 4.1%-6.0%) compared with those closer to care. CONCLUSIONS: Among VA patients with recently diagnosed HFrEF, the authors did not find that racial and ethnic minority patients were less likely to receive GDMT. However, appropriate dose up-titration may occur less frequently in more remote patients.

Predictors of Incident Heart Failure Diagnosis Setting: Insights From the Veterans Affairs Healthcare System.

BACKGROUND: Early recognition of heart failure (HF) can reduce morbidity, yet HF is often diagnosed only after symptoms require urgent treatment. OBJECTIVES: The authors sought to describe predictors of HF diagnosis in the acute care vs outpatient setting within the Veterans Health Administration (VHA). METHODS: The authors estimated whether incident HF diagnoses occurred in acute care (inpatient hospital or emergency department) vs outpatient settings within the VHA between 2014 and 2019. After excluding new-onset HF potentially caused by acute concurrent conditions, they identified sociodemographic and clinical variables associated with diagnosis setting and assessed variation across 130 VHA facilities using multivariable regression analysis. RESULTS: The authors identified 303,632 patients with new HF, with 160,454 (52.8%) diagnosed in acute care settings. In the prior year, 44% had HF symptoms and 11% had a natriuretic peptide tested, 88% of which were elevated. Patients with housing insecurity and high neighborhood social vulnerability had higher odds of acute care diagnosis (adjusted odds ratio: 1.22 [95% CI: 1.17-1.27] and 1.17 [95% CI: 1.14-1.21], respectively) adjusting for medical comorbidities. Better outpatient quality of care (blood pressure control and cholesterol and diabetes monitoring within the prior 2 years) predicted a lower odds of acute care diagnosis. Likelihood of acute care HF diagnosis varied from 41% to 68% across facilities after adjusting for patient-level risk factors. CONCLUSIONS: Many first HF diagnoses occur in the acute care setting, especially among socioeconomically vulnerable populations. Better outpatient care was associated with lower rates of an acute care diagnosis. These findings highlight opportunities for timelier HF diagnosis that may improve patient outcomes.

Disparities in Hospital Length of Stay Across Race and Ethnicity Among Patients With Heart Failure.

BACKGROUND: Reducing hospital length of stay (LOS) has been identified as an important lever for minimizing the burden of heart failure hospitalization, yet the impact of social and structural determinants of health on LOS has received little attention. We investigated disparities in LOS across race/ethnicity and their possible drivers. METHODS: We analyzed patients hospitalized for heart failure from 2017 to 2020 using the Get With The Guidelines-Heart Failure registry. We characterized LOS differences across race/ethnicity by insurance and disposition, adjusting for demographics, comorbidities, and clinical severity. Effects of hospital-level clustering on LOS across race/ethnicity were assessed using hierarchical mixed-effects models. We evaluated the association between LOS and discharge rates of guideline-directed medical therapy. RESULTS: Three thousand three seven hundred thirty patients hospitalized for heart failure were identified. After excluding inpatient deaths, the adjusted LOS for Black (5.72 days [95% CI, 5.62-5.82]), Hispanic (5.94 days [95% CI, 5.79-6.08]), and Indigenous American/Pacific Islander (6.06 days [95% CI, 5.85-6.27]) patients remained significantly longer compared with non-Hispanic White patients (5.32 days [95% CI, 5.25-5.39]). This pattern was driven by LOS differences among patients discharged to hospice or nursing facilities. After accounting for variability between hospitals, associations of race/ethnicity with LOS either were attenuated or reversed in direction. Guideline-directed medical therapy rates on discharge did not differ significantly across race/ethnicity despite longer LOS for Black, Hispanic, and Indigenous American/Pacific Islander patients. CONCLUSIONS: Differences between hospitals drive LOS disparities across race/ethnicity. Longer LOS among Black, Hispanic, and Indigenous American/Pacific Islander patients was not associated with improved quality of care.

Medical therapy for patients with recent-onset heart failure with reduced ejection fraction during the COVID-19 pandemic: Insights from the Veteran's affairs healthcare system.

This study aims to evaluate trends in guideline-directed medical therapy (GDMT) for patients with recent-onset heart failure with reduced ejection fraction (HFrEF) following the onset of the COVID-19 pandemic using an interrupted time series analysis in the Veteran's Affairs Healthcare System. Among 71,428 patients with recent-onset HFrEF between 1/1/2018 and 2/28/2021, we found the pandemic was not associated with differences in treatment rates for beta-blockers, renin-angiotensin-aldosterone system inhibitors, or mineralocorticoid receptor antagonists; there was a 2.6 % absolute decrease (95 % CI: 0.5 %-4.7 %) in ARNI rates in April 2020; which decreased over the pandemic. Despite the changes to healthcare delivery, the COVID-19 pandemic was associated with minimal changes in GDMT rates among patients with recent-onset HFrEF.

Disparities in virtual cardiology visits among Veterans Health Administration patients during the COVID-19 pandemic.

Objective: In response to the coronavirus disease 2019 (COVID-19) pandemic, the Veterans Health Administration (VA) rapidly expanded virtual care (defined as care delivered by video and phone), raising concerns about technology access disparities (ie, the digital divide). Virtual care was somewhat established in primary care and mental health care prepandemic, but video telehealth implementation was new for most subspecialties, including cardiology. We sought to identify patient characteristics of virtual and video-based care users in VA cardiology clinics nationally during the first year of the COVID-19 pandemic. Materials and Methods: Cohort study of Veteran patients across all VA facilities with a cardiology visit January 1, 2019-March 10, 2020, with follow-up January 1, 2019-March 10, 2021. Main measures included cardiology visits by visit type and likelihood of receiving cardiology-related virtual care, calculated with a repeated event survival model. Results: 416 587 Veterans with 1 689 595 total cardiology visits were analyzed; average patient age was 69.6 years and 4.3% were female. Virtual cardiology care expanded dramatically early in the COVID-19 pandemic from 5% to 70% of encounters. Older, lower-income, and rural-dwelling Veterans and those experiencing homelessness were less likely to use video care (adjusted hazard ratio for ages 75 and older 0.80, 95% confidence interval (CI) 0.75-0.86; for highly rural residents 0.77, 95% CI 0.68-0.87; for low-income status 0.94, 95% CI 0.89-0.98; for homeless Veterans 0.85, 95% CI 0.80-0.92). Conclusion: The pandemic worsened the digital divide for cardiology care for many vulnerable patients to the extent that video visits represent added value over phone visits. Targeted interventions may be necessary for equity in COVID-19-era access to virtual cardiology care.

Utilization of Generic Cardiovascular Drugs in Medicare's Part D Program.

BACKGROUND: Generic medications cost less than brand-name medications and are similarly effective, but brand-name medications are still prescribed. We evaluated patterns in generic cardiovascular medication fills and estimated the potential cost savings with increased substitution of generic for brand-name medications. METHODS: This was a cross-sectional study of cardiovascular therapies using the Medicare Part D database of prescription medications in 2017. We evaluated drug fill patterns for therapies with available brand-name and generic options. We determined the generic substitution ratio and estimated the potential savings with increased generic substitution at the national, state, and clinician level. We compared states with laws related to mandatory pharmacist generic substitution and patient consent for substitution. RESULTS: Of ≈$22.9 billion spent on cardiovascular drugs in Medicare Part D prescription programs in 2017, ≈$11.0 billion was spent on medications with both brand-name and generic options. Although only 2.4% of medication fills were for the brand-name choice, they made up 21.2% of total spending. Accounting for estimated brand-name rebates, generic substitution for these medications would save $641 million, including $135 million in costs shouldered by patients. Furthermore, the minority of clinicians with the lowest generic utilization was responsible for a large proportion of the potential cost savings. CONCLUSIONS: There are substantial potential cost savings from substituting brand-name medications with generic medications. These savings would be primarily driven by lower use of brand-name therapies by the minority of clinicians who prescribe them at increased rates.

Patient-Centered, Sustainable Hypertension Care: The Case for Adopting a Differentiated Service Delivery Model for Hypertension Services in Low- and Middle-Income Countries.

Expanding hypertension services in low- and middle-income countries requires efficient and effective service delivery approaches that meet the needs and expectations of people living with hypertension within the resource constraints of existing national health systems. Ideally, a hypertension program will extend treatment coverage while maintaining service quality, maximizing efficient resource utilization and improving clinical outcomes. In this article, we discuss lessons learned from HIV differentiated service delivery initiatives, and make the case that the same approach should be adopted for hypertension programs.

Availability of Cost-effectiveness Studies for Drugs With High Medicare Part D Expenditures.

Importance: Prescription drug spending in the US requires policy intervention to control costs and improve the value obtained from pharmaceutical spending. One such intervention is to apply cost-effectiveness evidence to decisions regarding drug coverage and pricing, but this intervention depends on the existence of such evidence to guide decisions. Objective: To characterize the availability and quality of cost-effectiveness studies for prescription drugs with the greatest Medicare Part D spending. Design, Setting, and Participants: In this national cross-sectional analysis, publicly available 2016 Medicare drug spending records were merged with 2016 US Food & Drug Administration Orange Book data and the Tufts Medical Center Cost-Effectiveness Analysis (CEA) Registry. All studies published through 2015 that evaluated the cost-effectiveness of the 250 drugs for which Medicare Part D spending was the greatest in US-based adult patient populations were included. Data were analyzed from September 2018 to June 2020. Main Outcomes and Measures: The presence and quality of published cost-effectiveness analyses for the 250 drugs for which Medicare Part D spending was greatest in 2016 were assessed based on the inclusion of key cost-effectiveness analysis elements and global ratings by independent reviewers for the Tufts CEA Registry. Results: Medicare Part D spending on the 250 drugs in the sample totaled $122.8 billion in 2016 (84.1% of total spending). Of these 250 drugs, 91 (36.4%) had a generic equivalent and 159 (63.6%) retained some patent exclusivity. There were 280 unique cost-effectiveness analyses for these drugs, representing data on 135 (54.0%) of the 250 drugs included and 67.0% of Part D spending on the top 250 drugs. The 115 drugs (46.0%) without cost-effectiveness studies accounted for 33.0% of Part D spending on the top 250 drugs. Of the 280 available studies, 128 (45.7%) were industry sponsored. A large proportion of the studies (250 [89.3%]) did not meet the minimum quality requirements. Conclusions and Relevance: In this cross-sectional study, a substantial proportion of 2016 Medicare Part D spending was for drugs with absent or low-quality cost-effectiveness analyses. The lack of quality analyses may present a challenge in efforts to develop policies addressing drug spending in terms of value.

Disparity in the Setting of Incident Heart Failure Diagnosis.

BACKGROUND: Early heart failure (HF) recognition can reduce morbidity, yet HF is often initially diagnosed only after a patient clinically worsens. We sought to identify characteristics that predict diagnosis in the acute care setting versus the outpatient setting. METHODS: We estimated the proportion of incident HF diagnosed in the acute care setting (inpatient hospital or emergency department) versus outpatient setting based on diagnostic codes from a claims database covering commercial insurance and Medicare Advantage between 2003 and 2019. After excluding new-onset HF potentially caused by a concurrent acute cause (eg, acute myocardial infarction), we identified demographic, clinical, and socioeconomic predictors of diagnosis setting. Patients were linked to their primary care clinicians to evaluate diagnosis setting variation across clinicians. RESULTS: Of 959 438 patients with new HF, 38% were diagnosed in acute care. Of these, 46% had potential HF symptoms in the prior 6 months. Over time, the relative odds of acute care diagnosis increased by 3.2% annually after adjustment for patient characteristics (95% CI, 3.1%-3.3%). Acute care diagnosis setting was more likely for women compared with men (adjusted odds ratio, 1.11 [95% CI, 1.10-1.12]) and for Black patients compared with White patients (adjusted odds ratio, 1.18 [95% CI, 1.16-1.19]). The proportion of acute care diagnosis varied substantially (interquartile range: 24%-39%) among clinicians after adjusting for patient-level risk factors. CONCLUSIONS: A large proportion of first HF diagnoses occur in the acute care setting, particularly among women and Black patients, yet many had potential HF symptoms in the months before acute care visits. These results raise concerns that many HF diagnoses are missed in the outpatient setting. Earlier diagnosis could allow for timelier high-value interventions, addressing disparities and reducing the progression of HF.

Trends in Left Ventricular Ejection Fraction for Patients With a New Diagnosis of Heart Failure.

BACKGROUND: The left ventricular ejection fraction (LVEF) guides treatment of heart failure, yet this data has not been systematically collected in large data sets. We sought to characterize the epidemiology of incident heart failure using the initial LVEF. METHODS: We identified 219 537 patients in the Veterans Affairs system between 2011 and 2017 who had an LVEF documented within 365 days before and 30 days after the heart failure diagnosis date. LVEF was obtained from natural language processing from imaging and provider notes. In multivariate analysis, we assessed characteristics associated with having an initial LVEF <40%. RESULTS: Most patients were male and White; a plurality were within the 60 to 69 year age decile. A majority of patients had ischemic heart disease and a high burden of co-morbidities. Over time, presentation with an LVEF <40% became slightly less common, with a nadir in 2015. Presentation with an initial LVEF <40% was more common in younger patients, men, Black and Hispanic patients, an inpatient presentation, lower systolic blood pressure, lower pulse pressure, and higher heart rate. Ischemic heart disease, alcohol use disorder, peripheral arterial disease, and ventricular arrhythmias were associated with an initial LVEF <40%, while most other comorbid conditions (eg, atrial fibrillation, chronic obstructive pulmonary disease, malignancy) were more strongly associated with an initial LVEF >50%. CONCLUSIONS: For patients with heart failure, particularly at the extremes of age, an initial preserved LVEF is common. In addition to clinical characteristics, certain races (Black and Hispanic) were more likely to present with a reduced LVEF. Further studies are needed to determine if racial differences are due to patient or health systems issues such as access to care.

How Much Time are Physicians and Nurses Spending Together at the Patient Bedside?

BACKGROUND: Bedside rounding involving both nurses and physicians has numerous benefits for patients and staff. However, precise quantitative data on the current extent of physician-nurse (MD-RN) overlap at the patient bedside are lacking. OBJECTIVE: This study aimed to examine the frequency of nurse and physician overlap at the patient beside and what factors affect this frequency. DESIGN: This is a prospective, observational study of time-motion data generated from wearable radio frequency identification (RFID)-based locator technology. SETTING: Single-institution academic hospital. MEASUREMENTS: The length of physician rounds, frequency of rounds that include nurses simultaneously at the bedside, and length of MD-RN overlap were measured and analyzed by ward, day of week, and distance between patient room and nursing station. RESULTS: A total of 739 MD rounding events were captured over 90 consecutive days. Of these events, 267 took place in single-bed patient rooms. The frequency of MD-RN overlap was 30.0%, and there was no statistical difference between the three wards studied. Overall, the average length of all MD rounds was 7.31 ± 0.58 minutes, but rounding involving a bedside nurse lasted longer than rounds with MDs alone (9.56 vs 5.68 minutes, P < .05). There was no difference in either the length of rounds or the frequency of MD-RN overlap between weekdays and weekends. Finally, patient rooms located farther away from the nursing station had a lower likelihood of MD-RN overlap (Pearson's r = -0.67, P < .05). CONCLUSION: RFID-based technology provides precise, automated, and high-throughput time-motion data to capture nurse and physician activity. At our institution, 30.0% of rounds involve a bedside nurse, highlighting a potential barrier to bedside interdisciplinary rounding.

EMR-based handoff tool improves completeness of internal medicine residents' handoffs.

BACKGROUND: The majority of adverse events in healthcare involve communication breakdown. Physician-to-physician handoffs are particularly prone to communication errors, yet have been shown to be more complete when systematised according to a standardised bundle. Interventions that improve thoroughness of handoffs have not been widely studied. AIM: To measure the effect of an electronic medical record (EMR)-based handoff tool on handoff completeness. INTERVENTION: This EMR-based handoff tool included a radio button prompting users to classify patients as stable, a 'watcher' or unstable. It automatically pulled in EMR data on the patient's 24-hour vitals, common lab tests and code status. Finally, it provided text boxes labelled 'Active Issues', 'Action List (To-Dos)' and 'If/Then' to fill in. IMPLEMENTATION AND EVALUATION: Written handoffs from general and specialty (haematology, oncology, cardiology) Internal Medicine resident-run inpatient wards were evaluated on a randomly chosen representative sample of days in April and May 2015 at Stanford University Medical Center, focusing on a predefined set of content elements. The intervention was then implemented in June 2015 with postintervention data collected in an identical fashion in August to September 2016. RESULTS: Handoff completeness improved significantly (p<0.0001). Improvement in inclusion of illness severity was notable for its magnitude and its importance in establishing a consistent mental model of a patient. Elements that automatically pulled in data and those prompting users to actively fill in data both improved. CONCLUSION: A simple EMR-based handoff tool providing a mix of frameworks for completion and automatic pull-in of objective data improved handoff completeness. This suggests that EMR-based interventions may be effective at improving handoffs, possibly leading to fewer medical errors and better patient care.