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OBJECTIVE: To determine the relative hazards of acute and chronic diabetes complications among people with diabetes across the U.S. rural-urban continuum. RESEARCH DESIGN AND METHODS: This retrospective cohort study used the OptumLabs Data Warehouse, a deidentified data set of U.S. commercial and Medicare Advantage beneficiaries, to follow 2,901,563 adults (age ≥18 years) with diabetes between 1 January 2012 and 31 December 2021. We compared adjusted hazard ratios (HRs) of diabetes complications in remote areas (population <2,500), small towns (population 2,500–50,000), and cities (population >50,000). RESULTS: Compared with residents of cities, residents of remote areas had greater hazards of myocardial infarction (HR 1.06 [95% CI 1.02–1.10]) and revascularization (HR 1.04 [1.02–1.06]) but lower hazards of hyperglycemia (HR 0.90 [0.83–0.98]) and stroke (HR 0.91 [0.88–0.95]). Compared with cities, residents of small towns had greater hazards of hyperglycemia (HR 1.06 [1.02–1.10]), hypoglycemia (HR 1.15 [1.12–1.18]), end-stage kidney disease (HR 1.04 [1.03–1.06]), myocardial infarction (HR 1.10 [1.08–1.12]), heart failure (HR 1.05 [1.03–1.06]), amputation (HR 1.05 [1.02–1.09]), other lower-extremity complications (HR 1.02 [1.01–1.03]), and revascularization (HR 1.05 [1.04–1.06]) but a smaller hazard of stroke (HR 0.95 [0.94–0.97]). Compared with small towns, residents of remote areas had lower hazards of hyperglycemia (HR 0.85 [0.78–0.93]), hypoglycemia (HR 0.92 [0.87–0.97]), and heart failure (HR 0.94 [0.91–0.97]). Hazards of retinopathy and atrial fibrillation/flutter did not vary geographically. CONCLUSIONS: Adults in small towns are disproportionately impacted by complications of diabetes. Future studies should probe for the reasons underlying these disparities. [ABSTRACT FROM AUTHOR]

Objective: To propose and evaluate a novel approach for measuring hospital‐level disparities according to the effect of a continuous, polysocial risk factor on those outcomes. Study Setting: Our cohort consisted of Medicare Fee‐for‐Service (FFS) patients 65 years and older admitted to acute care hospitals for one of six common conditions or procedures. Medicare administrative claims data for six hospital readmission measures including hospitalizations from July 2015 to June 2018 were used. Study Design: We adapted existing methodologies that were developed to report hospital‐level disparities using dichotomous social risk factors (SRFs). The existing methods report disparities within and across hospitals; we developed and tested modified approaches for both methods using the Agency for Healthcare Research and Quality Socioeconomic Status Index. We applied the adapted methodologies to six 30‐day hospital readmission measures included in the Centers for Medicare & Medicaid Services Hospital Readmissions Reduction Program measures. We compared the within‐ and across‐hospital results for each to those obtained from using the original methods and dichotomizing the AHRQ SES Index into "low" and "high" scores. Data Collection: We used Medicare FFS administrative claims data linked to U.S. Census data. Principal Findings: For all six readmission measures we find that, when compared with the existing methods, the methods for continuous SRFs provide disparity results for more facilities though across a narrower range of values. Measures of disparity based on this approach are moderately to highly correlated with those based on a dichotomous version of the same risk factor, while reflecting a fuller spectrum of risk. This approach represents an opportunity for detection of provider‐level results that more closely align with underlying social risk. Conclusion: We have demonstrated the feasibility and utility of estimating hospital disparities of care using a continuous, polysocial risk factor. This approach expands the potential for reporting hospital‐level disparities while better accounting for the multifactorial nature of social risk on hospital outcomes. [ABSTRACT FROM AUTHOR]

We previously described the hypotheses, outcomes, design, and analysis for E2C2, a pragmatic stepped-wedge trial to assess an intervention to improve symptom control in patients with cancer. Subsequent consideration of the design and cohort led to the addition of a second primary hypothesis. This article describes and presents the rationale for this second hypothesis. This addendum also details a revised analytic approach, necessitated by inconsistencies in the original analytic plan. The design, outcomes, and other aspects of the protocol remain unchanged. [ABSTRACT FROM AUTHOR]

The article reports that controlling hyperglycemia is foundational to diabetes management and necessary to reduce the risks of long-term diabetes complications and death. Topics include examines people with diabetes also need to consider more immediate harms posed by dysglycemia and considered contemporary data on emergency department visits and hospitalizations for hypoglycemia and hyperglycemia in the general U.S. population of adults with type 1 and type 2 diabetes.

Objectives. To describe national- and county-level trends and variation in a novel measure of hope. Methods. Using data from the Gallup National Health and Well-Being Index (n = 2 766 728), we summarized the difference between anticipated life satisfaction (ALS) and current life satisfaction (CLS), measured by the Cantril Self-Anchoring Scale, for each year from 2008 to 2020 and by county over two 5-year periods in the United States. Results. Across all years, there was a significant positive trend in the difference between ALS and CLS for the nation (P =.024), which remained positive but not significant when we excluded 2020. Maintenance of ALS with a decrease in CLS drove the 2020 increase. From 2008–2012 to 2013–2017, 14.5% of counties with 300 or more responses (n = 599) experienced an increase in the difference of more than 1 SD, whereas 13.9% experienced a more than 1 SD decrease. Fifty-two counties experienced decreases in ALS and CLS. Conclusions. Responding to trends in the gap between ALS and CLS at national and local levels is essential for the collective well-being of our nation, especially as we navigate and emerge from crisis. [ABSTRACT FROM AUTHOR]

Background: The Medicare Hospital Readmissions Reduction Program has led to fewer readmissions following hospitalizations with a principal diagnosis of heart failure (HF). Patients with HF are frequently hospitalized for other causes.Objectives: This study sought to compare trends in Medicare risk-adjusted, 30-day readmissions following principal HF hospitalizations and other hospitalizations with HF.Methods: This was a retrospective study of 12,973,853 Medicare hospitalizations with a principal or secondary diagnosis of HF between January 2008 and June 2015. Hospitalizations were categorized as follows: principal HF hospitalizations; principal acute myocardial infarction or pneumonia hospitalizations with secondary HF; and other hospitalizations with secondary HF. The study examined trends in risk-adjusted, 30-day, all-cause readmission rates for each cohort and trends in differences in readmission rates among cohorts by using linear spline regression models.Results: Before passage of the Affordable Care Act in March 2010, risk-adjusted, 30-day readmission rates were stable for all 3 cohorts, with mean monthly rates of 26.1%, 24.9%, and 24.4%, respectively. Risk-adjusted readmission rates started declining after passage of the Affordable Care Act by 1.09% (95% confidence interval [CI]: 0.51% to 1.68%), 1.24% (95% CI: 0.92% to 1.57%), and 1.05% (95% CI: 0.52% to 1.58%) per year, respectively, until implementation of the Hospital Readmissions Reduction Program in October 2012 and then stabilized for all 3 cohorts.Conclusions: Patients with HF are often hospitalized for other causes, and these hospitalizations have high readmission rates. Policy changes led to decreases in readmission rates for both principal and secondary HF hospitalizations. Readmission rates in both groups remain high, suggesting that initiatives targeting all hospitalized patients with HF continue to be warranted. [ABSTRACT FROM AUTHOR]

Objective: To develop an empiric approach for evaluating the performance of physician peer groups based on patient-sharing in administrative claims data.Data Sources: Surveillance, Epidemiology and End Results-Medicare linked dataset.Study Design: Applying social network theory, we constructed physician peer groups for patients with breast cancer. Under different assumptions of key parameter values-minimum patient volume for physician inclusion and minimum number of patients shared between physicians for a connection-we compared agreement in group membership between split samples during 2004-2006 (T1) (reliability) and agreement in group membership between T1 and 2007-2009 (T2) (stability). We also compared the results with those derived from randomly generated groups and to hospital affiliation-based groups.Principal Findings: The sample included 142 098 patients treated by 43 174 physicians in T1 and 136 680 patients treated by 51 515 physicians in T2. We identified parameter values that resulted in a median peer group reliability of 85.2 percent (Interquartile range (IQR) [0 percent, 96.2 percent]) and median stability of 73.7 percent (IQR [0 percent, 91.0 percent]). In contrast, stability of randomly assigned peer groups was 6.2 percent (IQR [0 percent, 21.0 percent]). Median overlap of empirical groups with hospital groups was 32.2 percent (IQR [12.1 percent, 59.2 percent]).Conclusions: It is feasible to construct physician peer groups that are reliable, stable, and distinct from both randomly generated and hospital-based groups. [ABSTRACT FROM AUTHOR]

Breast cancer survivorship guidelines recommend at least annual follow-up visits, yet the degree to which this occurs in clinical practice is uncertain. Claims data from a US commercial insurance database (OptumLabs) were used to identify women treated with curative intent surgery for newly diagnosed breast cancer between 2006 and 2014. In 25 035 women, median follow-up was 3 years. In the second year after surgery, 9.6% of the patients did not visit a primary care provider, an oncologist, or a surgeon (guideline-nonadherent). The guideline-nonadherent proportion increased from 7.8% in women diagnosed in 2006 to 12.2% in those diagnosed in 2014 (two-sided Wald P < .001). During years 2-6, guideline-nonadherence was also associated with older age, nonwhite race, no radiation, no chemotherapy, no endocrine therapy, and increasing time after surgery. There is a substantial and increasing rate of inadequate follow-up among breast cancer survivors. This has the potential to impair outcomes. [ABSTRACT FROM AUTHOR]

Aims: Examine 30-day readmissions for recurrent hypoglycemia and hyperglycemia in a national cohort of adults with diabetes.Methods: Retrospective analysis of data from OptumLabs Data Warehouse for all adults with diabetes hospitalized January 1, 2009 to December 31, 2014 with a principal diagnosis of hypoglycemia or hyperglycemia. We examined the rates and risk factors of 30-day readmissions for hypoglycemia and hyperglycemia.Results: After 6419 index hypoglycemia hospitalizations, 1.2% were readmitted for recurrent hypoglycemia, 0.2% for hyperglycemia, and 8.6% for other causes. Multimorbidity was the strongest predictor of recurrent hypoglycemia. After 6872 index hyperglycemia hospitalizations, 4.0% were readmitted for recurrent hyperglycemia, 0.4% for hypoglycemia, and 5.4% for other causes. Recurrent hyperglycemia was less likely in older patients (OR 0.6, 95% CI 0.5-0.9 for 45-64 vs. <45 years) and with the addition of a new glucose-lowering medication at index discharge (OR 0.40; 95% CI 0.2-0.7). New hypoglycemia readmissions were most likely among patients ≥75 years (OR 13.3, 95% CI 2.4-73.4, vs. <45 years).Conclusions: Patients hospitalized for hyperglycemia are often readmitted for recurrent hyperglycemia, while patients hospitalized for hypoglycemia are generally readmitted for unrelated causes. Early recognition of high risk patients may identify opportunities to improve post-discharge management and reduce these events. [ABSTRACT FROM AUTHOR]

Population wellbeing, an aggregate measure of positive mental, physical, and emotional health, has previously been used as a marker of community thriving. We examined whether several community measures of wellbeing, and their change since 2012, could be used to understand electoral changes that led to the outcome of the 2016 United States presidential election. We found that areas of the US which had the largest shifts away from the incumbent party had both lower wellbeing and greater drops in wellbeing when compared with areas that did not shift. In comparison, changes in income were not related to voting shifts. Well-being may be more useful in predicting and understanding electoral outcomes than some more conventional voting determinants. [ABSTRACT FROM AUTHOR]

Introduction: Our goal was to describe the pattern and identify risk factors of early-return ED visits or inpatient admissions following an index mental health and substance abuse (MHSA)-related ED visit in the United States. Methods: We performed a retrospective cohort study using Optum Labs Data Warehouse, a nationally representative database containing administrative claims data on privately insured and Medicare Advantage enrollees. Authors identified patients presenting to an ED with a primary diagnosis of MHSA between 2005 and 2013 who were discharged home. Study inclusion required continuous insurance enrollment for the 12 months preceding and the 31 days following the index ED visit. During the study period we included only the first ED visit for each patient. Results: A total of 49,672 (14.2%) had a return visit to the ED or had a hospitalization within 30 days following discharge. Mean time to the next ED visit or inpatient admission was 11.7 days. An increased age (age 65+ vs. age <18 years; OR 1.65, 95% CI [1.57 to 1.74]), chronic medical comorbidities (Hwang comorbidity 5+ vs 0; OR 1.31, 95% CI [1.27 to 1.35]), prior ED and inpatient utilization (4+ visits vs 0 visits; OR 5.59, 95% CI [5.41 to 5.78]) were associated with return visits within 30 days following discharge. Conclusion: In an analysis of nearly 350,000 ED visits for MHSA, 14.2 % of patients returned to the ED or hospital within 30 days. This study identified a number of factors associated with return visits for acute care. [ABSTRACT FROM AUTHOR]

Estimated all-cause mortality within 30-days of hypoglycemic emergencies is 0.8 % in adults with type 1 diabetes and 1.7 % with type 2 diabetes; and within 30-days of hyperglycemic emergencies, it is 1.2 % with type 1 diabetes and 2.8 % with type 2 diabetes. These rates changed little between 2011 and 2020. [ABSTRACT FROM AUTHOR]

An editorial is presented on the impact of financial uncertainty on individuals health. Topics discussed include poverty as the cause of hypertension, diabetes mellitus, obesity, heart attacks, and strokes; income volatility and other financial hardships occur may modify the impact on cardiovascular outcomes; and role of health delivery systems that affects person's health and well-being and the effect on health insurance and access to healthcare services.

Objective: To determine the agreement of measures of care in different settings-hospitals, nursing homes (NHs), and home health agencies (HHAs)-and identify communities with high-quality care in all settings.Data Sources/study Setting: Publicly available quality measures for hospitals, NHs, and HHAs, linked to hospital service areas (HSAs).Study Design: We constructed composite quality measures for hospitals, HHAs, and nursing homes. We used these measures to identify HSAs with exceptionally high- or low-quality of care across all settings, or only high hospital quality, and compared these with respect to sociodemographic and health system factors.Principal Findings: We identified three dimensions of hospital quality, four HHA dimensions, and two NH dimensions; these were poorly correlated across the three care settings. HSAs that ranked high on all dimensions had more general practitioners per capita, and fewer specialists per capita, than HSAs that ranked highly on only the hospital measures.Conclusion: Higher quality hospital, HHA, and NH care are not correlated at the regional level; regions where all dimensions of care are high differ systematically from regions which score well on only hospital measures and from those which score well on none. [ABSTRACT FROM AUTHOR]

Objective: To characterize Medicare expenditures on initial breast cancer care and examine variation in expenditures across hospital referral regions (HRRs).Data Source: We identified 29,110 women with localized breast cancer diagnosed in 2005-2008 and matched controls from the Surveillance, Epidemiology, and End Results-Medicare linked database.Study Design: Using hierarchical generalized linear models, we estimated per patient Medicare expenditure on initial breast cancer care across HRRs and assessed the contribution of patient, cancer, and treatment factors to regional variation via incremental models.Principal Findings: Mean Medicare expenditure for initial breast cancer care was $19,255 per patient. The average expenditures varied from $15,053 in the lowest-spending HRR quintile to $23,480 in the highest-spending HRR quintile. Patient sociodemographic, comorbidity, and tumor characteristics explained only 1.8 percent of the difference in expenditures between the lowest- and highest-spending quintiles, while use of specific treatment modalities explained 14.5 percent of the difference. Medicare spending on radiation therapy differed the most across the quintiles, with the use of intensity modulated radiation therapy increasing from 1.7 percent in the lowest-spending quintile to 11.6 percent in the highest-spending quintile.Conclusions: Medicare expenditures on initial breast cancer care vary substantially across regions. Treatment factors are major contributors to the variation. [ABSTRACT FROM AUTHOR]

Background: Disparities in multimorbidity prevalence indicate health inequalities, as the risk of morbidity does not intrinsically differ by race/ethnicity. This study aimed to determine if multimorbidity differences by race/ethnicity are decreasing over time.Methods: Serial cross-sectional analysis of the National Health Interview Survey, 1999-2018. Included individuals were ≥18 years old and categorized by self-reported race, ethnicity, age, and income. The main outcomes were temporal trends in multimorbidity prevalence based on the self-reported presence of ≥2 of 9 common chronic conditions.Findings: The study sample included 596,355 individuals (4.7% Asian, 11.8% Black, 13.8% Latino/Hispanic, and 69.7% White). In 1999, the estimated prevalence of multimorbidity was 5.9% among Asian, 17.4% among Black, 10.7% among Latino/Hispanic, and 13.5% among White individuals. Prevalence increased for all racial/ethnic groups during the study period (P ≤ .001 for each), with no significant change in the differences between them. In 2018, compared with White individuals, multimorbidity was more prevalent among Black individuals (+2.5 percentage points) and less prevalent among Asian and Latino/Hispanic individuals (-6.6 and -2.1 percentage points, respectively). Among those aged ≥30 years, Black individuals had multimorbidity prevalence equivalent to that of Latino/Hispanic and White individuals aged 5 years older, and Asian individuals aged 10 years older.Conclusions: From 1999 to 2018, a period of increasing multimorbidity prevalence for all the groups studied, there was no significant progress in eliminating disparities between Black individuals and White individuals. Public health interventions that prevent the onset of chronic conditions in early life may be needed to eliminate these disparities. [ABSTRACT FROM AUTHOR]

Objective To examine the relationship between community factors and hospital readmission rates. Data Sources/Study Setting We examined all hospitals with publicly reported 30-day readmission rates for patients discharged during July 1, 2007, to June 30, 2010, with acute myocardial infarction ( AMI), heart failure ( HF), or pneumonia ( PN). We linked these to publicly available county data from the Area Resource File, the Census, Nursing Home Compare, and the Neilsen PopFacts datasets. Study Design We used hierarchical linear models to assess the effect of county demographic, access to care, and nursing home quality characteristics on the pooled 30-day risk-standardized readmission rate. Data Collection/Extraction Methods Not applicable. Principal Findings The study sample included 4,073 hospitals. Fifty-eight percent of national variation in hospital readmission rates was explained by the county in which the hospital was located. In multivariable analysis, a number of county characteristics were found to be independently associated with higher readmission rates, the strongest associations being for measures of access to care. These county characteristics explained almost half of the total variation across counties. Conclusions Community factors, as measured by county characteristics, explain a substantial amount of variation in hospital readmission rates. [ABSTRACT FROM AUTHOR]

Objectives. The Centers for Disease Control and Prevention recommends HIV screening in U.S. health-care settings unless providers document a yield of undiagnosed HIV infections of < 1 per 1,000 population. However, implementation of this guidance has not been widespread and little is known of the characteristics of hospitals with screening practices in place. We assessed how screening practices vary with hospital characteristics. Methods. We used a national hospital survey of HIV testing practices, linked to HIV prevalence for the county, parish, borough, or city where the hospital was located, to assess HIV screening of some or all patients by hospitals. We used multivariate logistic regression analysis to assess the association between screening practices and hospital characteristics that were significantly associated with screening in bivariate analyses. Results. Of 376 hospitals in areas of prevalence ≥ $0.1%, only 25 (6.6%) reported screening all patients for HIV and 131 (34.8%) reported screening some or all patients. Among 638 hospitals included, screening some or all patients was significantly (p<0.05) more common at teaching hospitals, hospitals with higher numbers of annual admissions, and hospitals with a high proportion of Medicaid admissions. In multivariable analysis, screening some or all patients was independently associated with admitting more than 15% of Medicaid patients and receiving resources or reimbursement for screening tests. Conclusion. We found that few hospitals surveyed reported screening some or all patients, and failure to screen is common across all types of hospitals in all regions of the country. Expanded reimbursement for screening may increase compliance with the recommendations. [ABSTRACT FROM AUTHOR]

Objectives. The Centers for Disease Control and Prevention recommends HIV screening in U.S. health-care settings unless providers document a yield of undiagnosed HIV infections of < 1 per 1,000 population. However, implementation of this guidance has not been widespread and little is known of the characteristics of hospitals with screening practices in place. We assessed how screening practices vary with hospital characteristics. Methods. We used a national hospital survey of HIV testing practices, linked to HIV prevalence for the county, parish, borough, or city where the hospital was located, to assess HIV screening of some or all patients by hospitals. We used multivariate logistic regression analysis to assess the association between screening practices and hospital characteristics that were significantly associated with screening in bivariate analyses. Results. Of 376 hospitals in areas of prevalence ≥ $0.1%, only 25 (6.6%) reported screening all patients for HIV and 131 (34.8%) reported screening some or all patients. Among 638 hospitals included, screening some or all patients was significantly (p<0.05) more common at teaching hospitals, hospitals with higher numbers of annual admissions, and hospitals with a high proportion of Medicaid admissions. In multivariable analysis, screening some or all patients was independently associated with admitting more than 15% of Medicaid patients and receiving resources or reimbursement for screening tests. Conclusion. We found that few hospitals surveyed reported screening some or all patients, and failure to screen is common across all types of hospitals in all regions of the country. Expanded reimbursement for screening may increase compliance with the recommendations. [ABSTRACT FROM AUTHOR]

The article discusses a study on the treatment modalities for Non-small Cell Lung Cancer (NSCLC) such as the video-assisted thoracoscopic surgery (VATS), for the treatment of older patients in Medicare population. The study considered old patients diagnosed with NSCLC between 1998-2007, and concluded that there was a decrease in the overall proportion of older patients receiving curative local therapy, despite the availability of less invasive techniques for surgery and radiation.

Objective To assess the impact of electronic health record ( EHR) implementation on primary care diabetes care. Data Sources Charts were abstracted semi-annually for 14,051 diabetes patients seen in 34 primary care practices in a large, fee-for-service network from January 1, 2005 to December 31, 2010. The study sample was limited to patients aged 40 years or older. Study Design A naturalistic experiment in which GE Centricity Physician Office- EMR 2005 was rolled out over a staggered 3-year schedule. Data Collection Chart audits were conducted using the AMA/ Physician Consortium Adult Diabetes Measure set. The primary outcome was the Health Partners' 'optimal care' measure: HbA1c ≤ 8 percent; LDL cholesterol < 100 mg/dl; blood pressure < 130/80 mmHg; not smoking; and documented aspirin use in patients ≥40 years of age. Principal Findings After adjusting for patient age, sex, and insulin use, patients exposed to the EHR were significantly more likely to receive 'optimal care' when compared with unexposed patients ( p < .001), with an estimated difference of 9.20 percent (95% CI: 6.08, 12.33) in the final year between exposed patients and patients never exposed. Components of the optimal care bundle showing positive improvement after adjustment were systolic blood pressure <80 mmHg, diastolic blood pressure <130 mmHg, aspirin prescription, and smoking cessation. Among patients exposed to EHR, all process and outcome measures except HbA1c and lipid control showed significant improvement. Conclusion Implementation of a commercially available EHR in primary care practice may improve diabetes care and clinical outcomes. [ABSTRACT FROM AUTHOR]

The article discusses the results of a study which used a system developed by the U.S. Centers for Medicare & Medicaid Services to examine the national performance in door-in to door-out (DIDO) time. The study examined the association of the national median DIDO time with patient and hospital characteristics. The study concluded that rarely does the DIDO time met the recommended 30 minutes among patients requiring transfer to another facility for percutaneous coronary intervention.

Background-Registry studies have suggested improvements in door-to-balloon times, but a national assessment of the trends in door-to-balloon times is lacking. Moreover, we do not know whether improvements in door-to-balloon times were shared equally among patient and hospital groups. Methods and Results-This analysis includes all patients reported by hospitals to the Centers for Medicare & Medicaid Services for inclusion in the time to percutaneous coronary intervention (acute myocardial infarction-8) inpatient measure from January 1, 2005, through September 30, 2010. For each calendar year, we summarized the characteristics of patients reported for the measure, including the number and percentage in each group, the median time to primary percutaneous coronary intervention, and the percentage with time to primary percutaneous coronary intervention within 75 minutes and within 90 minutes. Door-to-balloon time declined from a median of 96 minutes in the year ending December 31, 2005, to a median of 64 minutes in the 3 quarters ending September 30, 2010. There were corresponding increases in the percentage of patients who had times <90 minutes (44.2% to 91.4%) and <75 minutes (27.3% to 70.4%). The declines in median times were greatest among groups that had the highest median times during the first period: patients >75 years of age (median decline, 38 minutes), women (35 minutes), and blacks (42 minutes). Conclusion-National progress has been achieved in the timeliness of treatment of patients with ST-segment-elevation myocardial infarction who undergo primary percutaneous coronary intervention. [ABSTRACT FROM AUTHOR]

Objective. We determined whether overweight and obese children performed less combined moderate and vigorous physical activity (MVPA), less vigorous physical activity (VPA) alone, and had distinct patterns of sustained MVPA or VPA compared with non-overweight children. Methods. We monitored 106 children (aged 8 to 10 years) for 7 consecutive days using accelerometers. Differences in mean daily MVPA and VPA were assessed by comparing non-overweight (NOW) with overweight and obese (OW/OB) participants using descriptive statistics and regression analysis. We used an algorithm to identify periods of consecutive minutes where MVPA or VPA was continuous, called bouts. We then compared the bouts performed by NOW versus OW and OB participants with respect to the mean of the counts·minute−1 for the minutes included in the bout, their mean length in minutes, and the number of MVPA bouts performed in sequence. Results. The non-overweight group averaged 143 minutes of MVPA per day versus 120 minutes among the OW/OB (p=0.004). The OW/OB group had fewer MVPA bouts per day compared with the NOW (11.6 versus17.6, p=0.012). Fewer VPA bouts were associated with greater body mass index z-score (p<0.001). The NOW children had more intense body motion during MVPA bouts and performed a greater proportion of MVPA bouts in sequences of five or more consecutive bouts, compared with the OW/OB (p=0.05 and p=0.002, respectively). Conclusions. In addition to performing less physical activity, we found that obese and overweight children had distinct patterns of MVPA and VPA bouts compared with non-overweight peers. [ABSTRACT FROM AUTHOR]

Hospitals vary by twofold in their hospital-specific 30-day risk-stratified mortality rates (RSMRs) for Medicare beneficiaries with acute myocardial infarction (AMI). However, we lack a comprehensive investigation of hospital characteristics associated with 30-day RSMRs and the degree to which the variation in 30-day RSMRs is accounted for by these characteristics, including the socioeconomic status (SES) profile of hospital patient populations. We conducted a cross-sectional national study of hospitals with ≥15 AMI discharges from July 1, 2005 to June 20, 2008. We estimated a multivariable weighted regression using Medicare claims data for hospital-specific 30-day RSMRs, American Hospital Association Survey of Hospitals for hospital characteristics, and the United States Census data reported by Neilsen Claritas, Inc., for zip-code level estimates of SES status. Analysis included 2,908 hospitals with 513,202 AMI discharges. Mean hospital 30-day RSMR was 16.5% (SD 1.7 percentage points). Our multivariable model explained 17.1% of the variation in hospital-specific 30-day RSMRs. Teaching status, number of hospital beds, AMI volume, cardiac facilities available, urban/rural location, geographic region, ownership type, and SES profile of patients were significantly (p <0.05) associated with 30-day RSMRs. In conclusion, substantial variation in hospital outcomes for patients with AMI remains unexplained by measurements of hospital characteristics including SES patient profile. [ABSTRACT FROM AUTHOR]

Objective. To characterize the types of hospices with higher rates of patient disenrollment from the Medicare Hospice Benefit and the markets in which these hospices operate. Data Source. Secondary analyses of Surveillance, Epidemiology and End Results-Medicare data. Analyses included patients who died of cancer from 1998 to 2002 and who used hospice ( n=90,826). Study Design. We used generalized estimating equations to estimate the association of patient disenrollment with hospice size, years since Medicare certification, ownership, staff mix, competition, urban/rural status, region, and fiscal intermediary. Other covariates included patient demographic and clinical characteristics. Principal Findings. Patients were more likely to disenroll from hospice if they were served by newer hospices (OR=1.14; 95 percent CI 1.03, 1.26), by smaller hospices (OR=1.11; 95 percent CI 1.02, 1.20), or by hospices in more competitive markets (OR=1.17; 95 percent CI 1.03, 1.35). There was an independent effect of the hospice's fiscal intermediary on disenrollment, particularly disenrollment after 6 months with hospice (Wald χ2=21.2, p=.007). Conclusions. The reasons for higher disenrollment rates for newer hospices, for smaller hospices, and for hospices in highly competitive markets are likely complex; however, results suggest that there are organizational-level barriers to keeping patients with cancer enrolled with hospice. Variation across fiscal intermediaries may indicate that regulatory oversight, particularly of long-stay patients, influences hospice disenrollment. [ABSTRACT FROM AUTHOR]

This cross-sectional study using direct motion monitoring evaluated whether short epochs increased estimates of moderate or vigorous physical activity (MPA or VPA) and enhanced differences in daily VPA comparing overweight (OW) and nonoverweight (NOW) children. Seventy-seven children (ages 8-10 years) wore accelerometers for 7 days. We calculated two estimates (mean minutes per day) of MPA and VPA using motion counts based on a 15-s epoch and a calculated 60-s epoch produced by totaling each consecutive group of four 15-s motion counts. We compared estimates as a function of mean motion count min-1 for sex, age, and status as OW or NOW. The results showed that a 15-s epoch produced higher estimates of VPA (mean difference of 7 min per day, p <.001). The average number of VPA minutes added using the 15-s epoch vs. the 60-s epoch was 8.8 for more active children compared with 5.8 for less active children (p < .001). There was no difference in VPA minutes between OW and NOW children. These findings suggest modestly increased sensitivity to VPA using shorter epochs; this was particularly true for the most active children. Shorter epochs, however, might not be useful in clarifying the relationship between VPA and obesity in children. [ABSTRACT FROM AUTHOR]

Nurse case management has been shown to improve the quality of diabetes care in closed model health maintenance organizations and Veterans Affairs medical clinics. A randomized controlled trial of a similar intervention within HealthTexas Provider Network, a fee-for-service primary care network in North Texas, demonstrated no benefit in processes of care or clinical outcomes for Medicare diabetes patients. To investigate whether the case management model impacted the cost of diabetes care from the Medicare perspective, we compared the average payments and charges incurred between intervention arms: claims-based audit and feedback; claims- and medical-record-based audit and feedback; and claims- and medical-record-based audit and feedback plus a practice-based diabetes resource nurse. Following adjustment for baseline differences between groups, no significant differences were observed. Thus, within this setting, it appears the nurse case management model produced no improvement in either clinical quality or in costs associated with diabetes from a Medicare perspective. [ABSTRACT FROM AUTHOR]

Fibrinolytic therapy is the most common reperfusion strategy for patients with ST-segment elevation myocardial infarction (STEMI), particularly in smaller centers. Previous studies evaluated the relation between time to treatment and outcomes when few patients were treated within 30 minutes of hospital arrival and many did not receive modern adjunctive medications. To quantify the impact of a delay in door-to-needle time on mortality in a recent and representative cohort of patients with STEMI, a cohort of 62,470 patients with STEMI treated using fibrinolytic therapy at 973 hospitals that participated in the National Registry of Myocardial Infarction from 1999 to 2002 was analyzed. Hierarchical models were used to evaluate the independent effect of door-to-needle time on in-hospital mortality. In-hospital mortality was lower with shorter door-to-needle times (2.9% for ≤30 minutes, 4.1% for 31 to 45 minutes, and 6.2% for >45 minutes; p <0.001 for trend). Compared with those experiencing door-to-needle times ≤30 minutes, adjusted odd ratios (ORs) of dying were 1.17 (95% confidence interval [CI] 1.04 to 1.31) and 1.37 (95% CI 1.23 to 1.52; p for trend <0.001) for patients with door-to-needle times of 31 to 45 and >45 minutes, respectively. This relation was particularly pronounced in those presenting within 1 hour of symptom onset to presentation time (OR 1.25, 95% CI 1.01 to 1.54; OR 1.54, 95% CI 1.27 to 1.87, respectively; p for trend <0.001). In conclusion, timely administration of fibrinolytic therapy continues to significantly impact on mortality in the modern era, particularly in patients presenting early after symptom onset. [Copyright &y& Elsevier]

The article presents a study examining quality process measures for acute myocardial infarction and the measures' association with 30-day mortality rates. The study concludes that multiple measures are needed to better evaluate hospital performance. The article discusses variations in risk-standardized short-term mortality rates, the Centers for Medicare & Medicaid Services, the Joint Commission on Accreditation of Healthcare Organizations, the use of β-blocker, aspirin, and angiotensin-converting enzyme inhibitors, reperfusion therapy, and smoking cessation counseling.

Objectives: The purpose of this study was to analyze recent trends in door-to-reperfusion time and to identify hospital characteristics associated with improved performance. Background: Rapid reperfusion improves survival for patients with acute ST-segment elevation myocardial infarction (STEMI). Methods: In this retrospective observational study from the National Registry of Myocardial Infarction (NRMI)-3 and -4, between 1999 and 2002, we analyzed door-to-needle and door-to-balloon times in patients admitted with STEMI and receiving fibrinolytic therapy (n = 68,439 patients in 1,015 hospitals) or percutaneous coronary intervention (n = 33,647 patients in 421 hospitals) within 6 h of hospital arrival. Results: In 1999, only 46% of the patients in the fibrinolytic therapy cohort were treated within the recommended 30-min door-to-needle time; only 35% of the patients in the percutaneous coronary intervention cohort were treated within the recommended 90-min door-to-balloon time. Improvement in these times to reperfusion over the four-year study period was not statistically significant (door-to-needle: −0.01 min/year, 95% confidence interval [CI] −0.24 to +0.23, p > 0.9; door-to-balloon: −0.57 min/year, 95% CI −1.24 to +0.10, p = 0.09). Only 33% (337 of 1,015) of hospitals improved door-to-needle time by more than one min/year, and 26% (110 of 421) improved door-to-balloon time by more than three min/year. No hospital characteristic was significantly associated with improvement in door-to-needle time. Only high annual percutaneous coronary intervention volume and location in New England were significantly associated with greater improvement in door-to-balloon time. Conclusions: Fewer than one-half of patients with STEMI receive reperfusion in the recommended door-to-needle or door-to-balloon time, and mean time to reperfusion has not decreased significantly in recent years. Relatively few hospitals have shown substantial improvement. [Copyright &y& Elsevier]

Context Nonwhite patients experience significantly longer times to fibrinolytic therapy (door-to-drug times) and percutaneous coronary intervention (door-to-balloon times) than white patients, raising concerns of health care disparities, but the reasons for these patterns are poorly understood. Objectives To estimate race/ethnicity differences in door-to-drug and door-to-balloon times for patients receiving primary reperfusion for ST-segment elevation myocardial infarction; to examine how sociodemographic factors, insurance status, clinical characteristics, and hospital features mediate racial/ethnic differences. Design, Setting, and Patients Retrospective, observational study using admission and treatment data from the National Registry of Myocardial Infarction (NRMI) for a US cohort of patients with ST-segment elevation myocardial infarction or left bundle-branch block and receiving reperfusion therapy. Patients (73,032 receiving fibrinolytic therapy; 37,143 receiving primary percutaneous coronary intervention) were admitted from January 1, 1999, through December 31, 2002, to hospitals participating in NRMI 3 and 4. Main Outcome Measure Minutes between hospital arrival and acute reperfusion therapy. Results Door-to-drug times were significantly longer for patients identified as African American/black (41.1 minutes), Hispanic (36.1 minutes), and Asian/Pacific Islander (37.4 minutes), compared with patients identified as white (33.8 minutes) (P<.01 for all). Door-to-balloon times for patients identified as African American/black (122.3 minutes) or Hispanic (114.8 minutes) were significantly longer than for patients identified as white (103.4 minutes) (P<.001 for both). Racial/ethnic differences were still significant but were substantially reduced after accounting for differences in mean times to treatment for the hospitals in which patients were treated; significant racial/ethnic differences persisted after further adjustment for sociodemographic characte... [ABSTRACT FROM AUTHOR]

The Centers for Medicare and Medicaid Services has been reporting hospital star ratings since 2016. Some stakeholders have criticized the star ratings methodology for not adjusting for social risk factors. We examined the relationship between 2021 star rating scores and hospitals' proportion of Medicare patients dually eligible for Medicaid. We found that, on average, hospitals caring for a greater proportion of dually eligible patients had lower star ratings, but there was significant overlap in performance among hospitals when we stratified them by quintile of dually eligible patients. Hospitals in the highest quintile (those with the greatest proportion of dually eligible patients) had the best mean mortality scores (0.28) but the worst readmission (-0.44) and patient experience (-0.78) scores. We assigned star ratings after stratifying the readmission measure group by proportion of dually eligible patients and found that a total of 142 hospitals gained a star and 161 hospitals lost a star, of which 126 (89 percent) and 1 (<1 percent) were in the highest quintile, respectively. Adjusting public reporting tools such as star ratings for social risk factors is ultimately a policy decision, and views on the appropriateness of accounting for factors such as proportion of dually eligible patients are mixed, depending on the organization and stakeholder. [ABSTRACT FROM AUTHOR]

Notice of Retraction and Replacement. Dyrbye et al. Association of clinical specialty with symptoms of burnout and career choice regret among US resident physicians. JAMA. 2018;320(11):1114-1130 [ABSTRACT FROM AUTHOR]

Editorial. Discusses challenges facing those who undertake quality improvement studies in health care. Lack of sufficient statistical power; Vulnerability of studies to contamination; Lack of certainty on the ideal time to assess the effects of an intervention; Scrutiny required of the generalizability of quality improvement studies; Assessing effective aspects of an intervention.

Background: Despite no proven benefit in clinical outcomes, perioperative magnetic resonance imaging (MRI) was rapidly adopted into breast cancer care in the 2000's, offering a prime opportunity for assessing factors influencing overutilization of unproven technology. Objectives: To examine variation among physician patient-sharing networks in their trajectory of adopting perioperative MRI for breast cancer surgery and compare the characteristics of patients, providers, and mastectomy use in physician networks that had different adoption trajectories. Methods and findings: Using the Surveillance, Epidemiology, and End Results-Medicare database in 2004–2009, we identified 147 physician patient-sharing networks (caring for 26,886 patients with stage I-III breast cancer). After adjusting for patient clinical risk factors, we calculated risk-adjusted rate of perioperative MRI use for each physician network in 2004–2005, 2006–2007, and 2008–2009, respectively. Based on the risk-adjusted rate, we identified three distinct trajectories of adopting perioperative MRI among physician networks: 1) low adoption (risk-adjusted rate of perioperative MRI increased from 2.8% in 2004–2005 to 14.8% in 2008–2009), 2) medium adoption (8.8% to 45.1%), and 3) high adoption (33.0% to 71.7%). Physician networks in the higher adoption trajectory tended to have a larger proportion of cancer specialists, more patients with high income, and fewer patients who were Black. After adjusting for patients' clinical risk factors, the proportion of patients undergoing mastectomy decreased from 41.1% in 2004–2005 to 38.5% in 2008–2009 among those in physician networks with low MRI adoption, but increased from 27.0% to 31.4% among those in physician networks with high MRI adoption (p = 0.03 for the interaction term between trajectory group and time). Conclusions: Physician patient-sharing networks varied in their trajectory of adopting perioperative MRI. These distinct trajectories were associated with the composition of patients and providers in the networks, and had important implications for patterns of mastectomy use. [ABSTRACT FROM AUTHOR]

Background: The symptom burden associated with cancer and its treatment can negatively affect patients' quality of life and survival. Symptom-focused collaborative care model (CCM) interventions can improve outcomes, but only if patients engage with them. We assessed the receptivity of severely symptomatic oncology patients to a remote nurse-led CCM intervention.Methods: In a pragmatic, cluster-randomized, stepped-wedge trial conducted as part of the National Cancer Institute IMPACT Consortium (E2C2, NCT03892967), patients receiving cancer care were asked to rate their sleep disturbance, pain, anxiety, emotional distress, fatigue, and limitations in physical function. Patients reporting at least 1 severe symptom (≥7/10) were offered phone consultation with a nurse symptom care manager (RN SCM). Initially, patients had to "opt-in" to receive a call, but the protocol was later modified so they had to "opt-out" if they did not want a call. We assessed the impact of opt-in vs opt-out framing and patient characteristics on receptiveness to RN SCM calls. All statistical tests were 2-sided.Results: Of the 1204 symptom assessments (from 864 patients) on which at least 1 severe symptom was documented, 469 (39.0%) indicated receptivity to an RN SCM phone call. The opt-out period (odds ratio [OR] = 1.61, 95% confidence interval [CI] = 1.12 to 2.32, P = .01), receiving care at a tertiary care center (OR = 3.59, 95% CI = 2.18 to 5.91, P < .001), and having severe pain (OR = 1.80, 95% CI = 1.24 to 2.62, P = .002) were associated with statistically significantly greater willingness to receive a call.Conclusions: Many severely symptomatic patients were not receptive to an RN SCM phone call. Better understanding of reasons for refusal and strategies for improving patient receptivity are needed. [ABSTRACT FROM AUTHOR]

Objective: To examine variation in trajectories of abandoning conventionally fractionated whole‐breast irradiation (CF‐WBI) for adjuvant breast radiotherapy among physician peer groups and the associated cost implications. Data Sources: Medicare claims data were obtained from the Chronic Conditions Data Warehouse for fee‐for‐service beneficiaries with breast cancer in 2011‐2014. Study Design: We used social network methods to identify peer groups of physicians that shared patients. For each physician peer group in each time period (T1 = 2011‐2012 and T2 = 2013‐2014), we calculated a risk‐adjusted rate of CF‐WBI use among eligible women, after adjusting for patient clinical characteristics. We applied a latent class growth analysis to these risk‐adjusted rates to identify distinct trajectories of CF‐WBI use among physician peer groups. We further estimated potential savings to the Medicare program by accelerating abandonment of CF‐WBI in T2 using a simulation model. Data Collection/Extraction Methods: Use of conventionally fractionated whole‐breast irradiation was determined from Medicare claims among women ≥ 66 years of age who underwent adjuvant radiotherapy after breast conserving surgery. Principal Findings: Among 215 physician peer groups caring for 16 988 patients, there were four distinct trajectories of abandoning CF‐WBI: (a) persistent high use (mean risk‐adjusted utilization rate: T1 = 94.3%, T2 = 90.6%); (b) decreased high use (T1 = 81.3%, T2 = 65.3%); (c) decreased medium use (T1 = 60.1%, T2 = 44.0%); and (d) decreased low use (T1 = 31.6%, T2 = 23.6%). Peer groups with a smaller proportion of patients treated at free‐standing radiation facilities and a larger proportion of physicians that were surgeons tended to follow trajectories with lower use of CF‐WBI. If all physician peer groups had practice patterns in T2 similar to those in the "decreased low use" trajectory, the Medicare program could save $83.3 million (95% confidence interval: $58.5 million‐$112.2 million). Conclusions: Physician peer groups had distinct trajectories of abandoning CF‐WBI. Physician composition and setting of radiotherapy were associated with the different trajectories. Distinct practice patterns across the trajectories had important cost implications. [ABSTRACT FROM AUTHOR]

Intravitreal anti-vascular endothelial growth factor (VEGF) pharmacotherapy plays a central role in the management of neovascular age-related macular degeneration (nAMD), diabetic retinal disease (DRD), and retinal venous occlusive disease (RVO). Within clinical trials, rates of systemic serious adverse events (SAEs) after anti-VEGF treatment have been low. However, the comparative systemic safety profile of common anti-VEGF agents remains incompletely understood. The goal of this study was to compare the systemic safety of intravitreal bevacizumab, ranibizumab, and aflibercept in real-world practice. Retrospective cohort study. Using a large U.S. administrative claims database of commercially insured and Medicare Advantage enrollees, we identified adult cohorts receiving initial anti-VEGF injections for nAMD, DRD, and RVO between January 1, 2007, and June 30, 2018. We included patients with 1 year of insurance coverage before initial treatment. We compared predefined systemic outcomes between anti-VEGF agents occurring within 180 days of treatment initiation using propensity score–weighted Cox proportional hazards models. Patients were censored upon treatment with a different anti-VEGF medication or termination of health plan coverage. Primary outcomes were acute myocardial infarction (MI), acute cerebrovascular disease (CVD), major bleeding, and all-cause hospitalization. A total of 87 844 patients received initial anti-VEGF injections for nAMD, DRD, and RVO between January 1, 2007, and June 30, 2018 (69 007 bevacizumab; 10 895 ranibizumab; 7942 aflibercept). Postinjection 180-day event rates per 100 patients for MI, CVD, major bleeding, and all-cause hospitalization were similar for bevacizumab (0.64, 0.59, 0.34, and 10.41, respectively), ranibizumab (0.62, 0.53, 0.40, and 9.44, respectively), and aflibercept (0.63, 0.60, 0.20, and 9.88, respectively). No differences were identified for the risk of MI, CVD, major bleeding, or all-cause hospitalization when comparing the risk-adjusted effect of treatment initiation with bevacizumab versus ranibizumab (hazard ratio [HR], 0.96 [95% confidence interval {CI}, 0.74–1.25]; HR, 1.04 [95% CI, 0.78–1.38]; HR, 0.85 [95% CI, 0.61–1.19]; HR, 1.03 [95% CI, 0.96–1.10], all P > 0.05), bevacizumab versus aflibercept (HR, 0.95 [95% CI, 0.68–1.33], HR, 0.99 [95% CI, 0.71–1.38], HR, 1.02 [95% CI, 0.60–1.74], HR, 1.01 [95% CI, 0.93–1.10], all P > 0.05), or aflibercept versus ranibizumab (HR, 0.91 [95% CI, 0.62–1.35], HR, 1.12 [95% CI, 0.74–1.69], HR, 0.96 [95% CI, 0.53–1.73], HR, 1.02 [95% CI, 0.92–1.13], all P > 0.05). We observed no differences in the risk of acute MI, CVD, major bleeding, or all-cause hospitalization after treatment initiation with intravitreal bevacizumab, ranibizumab, or aflibercept during routine clinical practice. [ABSTRACT FROM AUTHOR]

BACKGROUND/OBJECTIVE: Heart failure (HF) readmission rates have plateaued despite scrutiny of hospital discharge practices. Many HF patients are discharged to skilled nursing facility (SNF) after hospitalization before returning home. Home healthcare (HHC) services received during the additional transition from SNF to home may affect readmission risk. Here, we examined whether receipt of HHC affects readmission risk during the transition from SNF to home following HF hospitalization. DESIGN: Retrospective cohort study. SETTING: Fee‐for‐service Medicare data, 2012 to 2015. PARTICIPANTS: Beneficiaries, aged 65 years and older, hospitalized with HF who were subsequently discharged to SNF and then discharged home. MEASUREMENTS: The primary outcome was unplanned readmission within 30 days of discharge to home from SNF. We compared time to readmission between those with and without HHC services using a Cox model. RESULTS: Of 67 585 HF hospitalizations discharged to SNFs and subsequently discharged home, 13 257 (19.6%) were discharged with HHC, and 54 328 (80.4%) were discharged without HHC. Patients discharged home from SNFs with HHC had lower 30‐day readmission rates than patients discharged without HHC (22.8% vs 24.5%; P <.0001) and a longer time to readmission. In an adjusted model, the hazard for readmission was 0.91 (0.86‐0.95) with receipt of HHC. CONCLUSIONS: Recipients of HHC were less likely to be readmitted within 30 days vs those discharged home without HHC. This is unexpected, as patients discharged with HHC likely have more functional impairments. Since patients requiring a SNF stay after hospital discharge may have additional needs, they may particularly benefit from restorative therapy through HHC; however, only approximately 20% received such services. J Am Geriatr Soc 68:96–102, 2019 [ABSTRACT FROM AUTHOR]

Key Points: Question: Do hospitals achieve equitable readmission rates (ie, fewer readmissions with narrow gaps in readmission rates between populations)? What characterizes hospitals with equitable readmissions? Findings: Of eligible hospitals, 17% had equitable readmissions by insurance, and 30% had equitable readmissions by race. Hospitals with and without equitable readmissions were characteristically different. Achieving equitable readmissions did not consistently correlate with quality, cost, or value. Many hospitals were not eligible for a disparities assessment due to insufficient numbers of dual-eligible and Black patients. Meaning: A minority of hospitals achieve equitable readmissions. Equity-focused outcome measures assess new dimensions of hospital performance distinct from traditional accountability measures. Importance: Equity is an essential domain of health care quality. The Centers for Medicare & Medicaid Services (CMS) developed 2 Disparity Methods that together assess equity in clinical outcomes. Objectives: To define a measure of equitable readmissions; identify hospitals with equitable readmissions by insurance (dual eligible vs non–dual eligible) or patient race (Black vs White); and compare hospitals with and without equitable readmissions by hospital characteristics and performance on accountability measures (quality, cost, and value). Design, Setting, and Participants: Cross-sectional study of US hospitals eligible for the CMS Hospital-Wide Readmission measure using Medicare data from July 2018 through June 2019. Main Outcomes and Measures: We created a definition of equitable readmissions using CMS Disparity Methods, which evaluate hospitals on 2 methods: outcomes for populations at risk for disparities (across-hospital method); and disparities in care within hospitals' patient populations (within-a-single-hospital method). Exposures: Hospital patient demographics; hospital characteristics; and 3 measures of hospital performance—quality, cost, and value (quality relative to cost). Results: Of 4638 hospitals, 74% served a sufficient number of dual-eligible patients, and 42% served a sufficient number of Black patients to apply CMS Disparity Methods by insurance and race. Of eligible hospitals, 17% had equitable readmission rates by insurance and 30% by race. Hospitals with equitable readmissions by insurance or race cared for a lower percentage of Black patients (insurance, 1.9% [IQR, 0.2%-8.8%] vs 3.3% [IQR, 0.7%-10.8%], P <.01; race, 7.6% [IQR, 3.2%-16.6%] vs 9.3% [IQR, 4.0%-19.0%], P =.01), and differed from nonequitable hospitals in multiple domains (teaching status, geography, size; P <.01). In examining equity by insurance, hospitals with low costs were more likely to have equitable readmissions (odds ratio, 1.57 [95% CI, 1.38-1.77), and there was no relationship between quality and value, and equity. In examining equity by race, hospitals with high overall quality were more likely to have equitable readmissions (odds ratio, 1.14 [95% CI, 1.03-1.26]), and there was no relationship between cost and value, and equity. Conclusion and Relevance: A minority of hospitals achieved equitable readmissions. Notably, hospitals with equitable readmissions were characteristically different from those without. For example, hospitals with equitable readmissions served fewer Black patients, reinforcing the role of structural racism in hospital-level inequities. Implementation of an equitable readmission measure must consider unequal distribution of at-risk patients among hospitals. This cross-sectional study of US hospitals compared hospital and patient characteristics to evaluate equitable rates of readmission by insurance (dual eligible [Medicare and Medicaid] vs non–dual eligible) and race (Black vs White). [ABSTRACT FROM AUTHOR]

Intravitreal anti-vascular endothelial growth factor (VEGF) pharmacotherapy has become standard of care for the management of diabetic macular edema (DME). The systemic safety profile of this treatment in routine clinical practice remains incompletely understood. We used a large claims database to investigate the risk of systemic serious adverse events (SAEs) in patients receiving anti-VEGF for DME compared with controls treated with macular laser photocoagulation or intravitreal corticosteroid. Retrospective cohort study. By using a large U.S. insurance database, we identified privately insured and Medicare Advantage patients aged ≥18 years treated with anti-VEGF for DME between January 1, 2006, and December 31, 2015, along with control patients receiving macular laser or corticosteroid. We included patients with 1 year of medical coverage before initial DME treatment. We assessed associations between treatment modalities and predefined systemic outcomes using Cox proportional hazards regression. We performed 2 separate comparisons, one between anti-VEGF and macular laser and one between anti-VEGF and corticosteroid. We used inverse propensity score weighting for the first comparison to account for treatment selection bias. For the second, we used 2:1 propensity score matching on demographics, year, and baseline comorbidities because of the smaller number of corticosteroid-treated patients. Risk of cerebrovascular disease, myocardial infarction, major bleeding, and all-cause hospitalization occurring within 6 months of initial DME treatment as hazard ratios (HRs) with 95% confidence intervals (CIs). A total of 23 348 patients receiving treatment for DME met inclusion criteria; 13 365 received macular laser, 9219 received intravitreal anti-VEGF, and 764 received intravitreal corticosteroid as initial treatment. Anti-VEGF pharmacotherapy was not associated with an increased hazard of cerebrovascular disease (HR, 0.96; 95% CI, 0.65–1.41; P = 0.83), major bleeding (HR, 1.23; 95% CI, 0.76–1.99; P = 0.41), or myocardial infarction (HR, 1.03; 95% CI, 0.73–1.44; P = 0.88) when compared with macular laser for DME; however, there was an increased hazard of post-treatment all-cause hospital admission (HR, 1.17; 95% CI, 1.05–1.30; P = 0.01). The rates of all primary systemic SAE outcomes were similar after treatment with anti-VEGF versus corticosteroid (P > 0.05 for all). We identified no increased risk of cerebrovascular disease, myocardial infarction, or major bleeding within 6 months after intravitreal anti-VEGF pharmacotherapy for the treatment of DME in routine clinical practice. A potential difference in all-cause hospitalization may merit further investigation. [ABSTRACT FROM AUTHOR]

Objective: To propose and evaluate a metric for quantifying hospital-specific disparities in health outcomes that can be used by patients and hospitals.Data Sources/study Setting: Inpatient admissions for Medicare patients with acute myocardial infarction, heart failure, or pneumonia to all non-federal, short-term, acute care hospitals during 2012-2015.Study Design: Building on the current Centers for Medicare and Medicaid Services methodology for calculating risk-standardized readmission rates, we developed models that include a hospital-specific random coefficient for either patient dual eligibility status or African American race. These coefficients quantify the difference in risk-standardized outcomes by dual eligibility and race at a given hospital after accounting for the hospital's patient case mix and proportion of dual eligible or African American patients. We demonstrate this approach and report variation and performance in hospital-specific disparities.Principal Findings: Dual eligibility and African American race were associated with higher readmission rates within hospitals for all three conditions. However, this disparity effect varied substantially across hospitals.Conclusion: Our models isolate a hospital-specific disparity effect and demonstrate variation in quality of care for different groups of patients across conditions and hospitals. Illuminating within-hospital disparities can incentivize hospitals to reduce inequities in health care quality. [ABSTRACT FROM AUTHOR]

Background: Perioperative MRI has disseminated into breast cancer practice despite equivocal evidence. We used a novel social network approach to assess the relationship between the characteristics of surgeons' patient‐sharing networks and subsequent use of MRI. Methods: We identified a cohort of female patients with stage 0‐III breast cancer from the Surveillance, Epidemiology, and End Results (SEER)‐Medicare database. We used claims data from these patients and non‐cancer patients from the 5% Medicare sample to identify peer groups of physicians who shared patients during 2004‐2006 (T1). We used a multivariable hierarchical model to identify peer group characteristics associated with uptake of MRI in T2 (2007‐2009) by surgeons who had not used MRI in T1. Results: Our T1 sample included 15 149 patients with breast cancer, treated by 2439 surgeons in 390 physician groups. During T1, 9.1% of patients received an MRI; the use of MRI varied from 0% to 100% (IQR 0%, 8.5%) across peer groups. After adjusting for clinical characteristics, patients treated by surgeons in groups with a higher proportion of primary care physicians (PCPs) in T1 were less likely to receive MRI in T2 (OR = 0.81 for 10% increase in PCPs, 95% CI = 0.71, 0.93). Surgeon transitivity (ie, clustering of surgeons) was significantly associated with MRI receipt (P = 0.013); patients whose surgeons were in groups with higher transitivity in T1 were more likely to receive MRI in T2 (OR = 1.29 for 10% increase in clustering, 95% CI = 1.06, 1.58). Conclusion: The characteristics of a surgeon's peer network are associated with their patients' subsequent receipt of perioperative MRI. We examined whether the characteristics of surgeons' peer networks were associated with the uptake of a new imaging technique in breast cancer care. We found that two network characteristics, surgeon transitivity, and proportion of PCPs were significantly associated with the adoption of perioperative MRI. [ABSTRACT FROM AUTHOR]

The authors analyze data submitted by hospitals to the Reporting Hospital Quality Data for Annual Payment Update (RHQDAPU) which aims to determine whether racial inequality in door-to-balloon (D2B) times decreased over time. Patients were grouped into 12-month intervals for 4 years and patient-level data were calculated. The analysis suggests that racial disparities have decreased over time and that improvement in heath care quality contributed to it.

Objective We aimed to measure provider perspectives on the acceptability, appropriateness, and feasibility of teleneonatology in neonatal intensive care units (NICUs) and community hospitals. Study Design Providers from five academic tertiary NICUs and 27 community hospitals were surveyed using validated implementation measures to assess the acceptability, appropriateness, and feasibility of teleneonatology. For each of the 12 statements, scale values ranged from 1 to 5 (1 = strongly disagree; 5 = strongly agree), with higher scores indicating greater positive perceptions. Survey results were summarized, and differences across respondents assessed using generalized linear models. Results The survey response rate was 56% (203/365). Respondents found teleneonatology to be acceptable, appropriate, and feasible. The percent of respondents who agreed with each of the twelve statements ranged from 88.6 to 99.0%, with mean scores of 4.4 to 4.7 and median scores of 4.0 to 5.0. There was no difference in the acceptability, appropriateness, and feasibility of teleneonatology when analyzed by professional role, years of experience in neonatal care, or years of teleneonatology experience. Respondents from Level I well newborn nurseries had greater positive perceptions of teleneonatology than those from Level II special care nurseries. Conclusion Providers in tertiary NICUs and community hospitals perceive teleneonatology to be highly acceptable, appropriate, and feasible for their practices. The wide acceptance by providers of all roles and levels of experience likely demonstrates a broad receptiveness to telemedicine as a tool to deliver neonatal care, particularly in rural communities where specialists are unavailable. Key Points Neonatal care providers perceive teleneonatology to be highly acceptable, appropriate, and feasible. Perceptions of teleneonatology do not differ based on professional role or years of experience. Perceptions of teleneonatology are especially high in smaller hospitals with well newborn nurseries. [ABSTRACT FROM AUTHOR]

Background: Well-being is a positively-framed, holistic assessment of health and quality of life that is associated with longevity and better health outcomes. We aimed to identify county attributes that are independently associated with a comprehensive, multi-dimensional assessment of individual well-being. Methods: We performed a cross-sectional study examining associations between 77 pre-specified county attributes and a multi-dimensional assessment of individual US residents’ well-being, captured by the Gallup-Sharecare Well-Being Index. Our cohort included 338,846 survey participants, randomly sampled from 3,118 US counties or county equivalents. Findings: We identified twelve county-level factors that were independently associated with individual well-being scores. Together, these twelve factors explained 91% of the variance in individual well-being scores, and they represent four conceptually distinct categories: demographic (% black); social and economic (child poverty, education level [