The Association of Frailty and Neighborhood Disadvantage with Emergency Department Visits and Hospitalizations in Older Adults.

BACKGROUND: Risk stratification and population management strategies are critical for providing effective and equitable care for the growing population of older adults in the USA. Both frailty and neighborhood disadvantage are constructs that independently identify populations with higher healthcare utilization and risk of adverse outcomes. OBJECTIVE: To examine the joint association of these factors on acute healthcare utilization using two pragmatic measures based on structured data available in the electronic health record (EHR). DESIGN: In this retrospective observational study, we used EHR data to identify patients aged ≥ 65 years at Atrium Health Wake Forest Baptist on January 1, 2019, who were attributed to affiliated Accountable Care Organizations. Frailty was categorized through an EHR-derived electronic Frailty Index (eFI), while neighborhood disadvantage was quantified through linkage to the area deprivation index (ADI). We used a recurrent time-to-event model within a Cox proportional hazards framework to examine the joint association of eFI and ADI categories with healthcare utilization comprising emergency visits, observation stays, and inpatient hospitalizations over one year of follow-up. KEY RESULTS: We identified a cohort of 47,566 older adults (median age = 73, 60% female, 12% Black). There was an interaction between frailty and area disadvantage (P = 0.023). Each factor was associated with utilization across categories of the other. The magnitude of frailty's association was larger than living in a disadvantaged area. The highest-risk group comprised frail adults living in areas of high disadvantage (HR 3.23, 95% CI 2.99-3.49; P < 0.001). We observed additive effects between frailty and living in areas of mid- (RERI 0.29; 95% CI 0.13-0.45; P < 0.001) and high (RERI 0.62, 95% CI 0.41-0.83; P < 0.001) neighborhood disadvantage. CONCLUSIONS: Considering both frailty and neighborhood disadvantage may assist healthcare organizations in effectively risk-stratifying vulnerable older adults and informing population management strategies. These constructs can be readily assessed at-scale using routinely collected structured EHR data.

Patient Characteristics Associated with Telemedicine Use for Diabetes Mellitus Care: Experience of a University Health System.

OBJECTIVES: The objective was to understand the characteristics of patients who used telemedicine for diabetes management to inform future implementation of telemedicine. METHODS: We examined patient characteristics associated with telemedicine use for diabetes mellitus (DM) care between March 1, 2020 and April 1, 2021 (the coronavirus disease 2019 pandemic period) in a large university health system when telemedicine visits increased rapidly. Logistic regression models assessed patient characteristics associated with telemedicine visits and delays in DM process measures (hemoglobin A1c checks, nephropathy, and retinopathy evaluations) during the pandemic period after adjusting for potential confounders and corresponding values before the pandemic period (March 1, 2019-February 29, 2020). RESULTS: A total of 45,159 patients were seen from 987,791 visits during the pandemic period. The number of visits averaged one visit less during the pandemic period than before the pandemic period. Approximately 5.4% of patients used telemedicine during the pandemic period from 42,750 visits. The mean (standard deviation) telemedicine visit was 1.28 (0.91). Men, Asian, Black, and other race (vs White), having Medicare or uninsured (vs private insurance), were less likely to use telemedicine. Patients with more visits before the pandemic period were more likely to use telemedicine and less likely to experience a delay in DM process measures during the pandemic period. Telemedicine users were 18% less likely to experience a delay in nephropathy visits than nonusers, but without difference for other process measures. CONCLUSIONS: Race, sex, insurance, and prepandemic in-person visits were associated with telemedicine use for DM management in a large health system. Telemedicine use was not associated with delays in hemoglobin A1c testing, nephropathy, and retinopathy assessments. Understanding reasons for not using telemedicine is important to be able to deliver equitable DM care.

Affordable Care Act Medicaid Expansion was Associated With Reductions in the Proportion of Hospitalizations That are Potentially Preventable Among Hispanic and White Adults.

OBJECTIVE: Using data on 5 years of postexpansion experience, we examined whether the coverage gains from Affordable Care Act Medicaid expansion among Black, Hispanic, and White individuals led to improvements in objective indicators of outpatient care adequacy and quality. RESEARCH DESIGN: For the population of adults aged 45-64 with no insurance or Medicaid coverage, we obtained data on census population and hospitalizations for ambulatory care sensitive conditions (ACSCs) during 2010-2018 in 14 expansion and 7 nonexpansion states. Our primary outcome was the percentage share of hospitalizations due to ACSC out of all hospitalizations ("ACSC share") among uninsured and Medicaid-covered patients. Secondary outcomes were the population rate of ACSC and all hospitalizations. We used multivariate regression models with an event-study difference-in-differences specification to estimate the change in the outcome measures associated with expansion in each of the 5 postexpansion years among Hispanic, Black, and White adults. PRINCIPAL FINDINGS: At baseline, ACSC share in the expansion states was 19.0%, 14.5%, and 14.3% among Black, Hispanic, and White adults. Over the 5 years after expansion, Medicaid expansion was associated with an annual reduction in ACSC share of 5.3% (95% CI, -7.4% to -3.1%) among Hispanic and 8.0% (95% CI, -11.3% to -4.5%) among White adults. Among Black adults, estimates were mixed and indicated either no change or a reduction in ACSC share. CONCLUSIONS: After Medicaid expansion, low-income Hispanic and White adults experienced a decrease in the proportion of potentially preventable hospitalizations out of all hospitalizations.

North Carolina's Medicaid Transformation: the Early Enrollee Experience.

INTRODUCTION: On July 1, 2021, North Carolina's Medicaid Transformation mandatorily switched 1.6 million Medicaid beneficiaries from fee-for-service to managed care plans. We examined the early enrollee experience in terms of engagement in plan selection, provider continuity, use of primary care visits, and assistance with social needs. METHODS: Using electronic health records (EHR) covering pre- and post-transition periods (1/1/2019-5/31/2022) from the largest provider network in western North Carolina, we identified all children and adults under age 65 with continuous Medicaid or private coverage. We conducted primary surveys of a random sample of Medicaid-covered enrollees and obtained self-reported rates of engagement in plan selection, continuity of provider access, and receipt of social need assistance. We used comparative interrupted time series models to estimate the relative change in primary care visits associated with the transition. RESULTS: Our EHR-based study cohorts included 4859 Medicaid and 5137 privately insured enrollees, with 398 Medicaid enrollees in the primary surveys. We found that 77.3% of survey participants reported that the managed care plan they were on was not chosen but automatically assigned to them, 13.1% reported insufficient information about the transition, and 19.2% reported lacking assistance with plan choice. We found that 5.9% were assigned to a different primary care provider. Over 29% reported not receiving any additional social need assistance. The transition was associated with a 7.1% reduction (95% CI, -11.5 to -2.7%) in the volume of primary care visits among Medicaid enrollees relative to privately insured enrollees. CONCLUSIONS: Medicaid enrollees in North Carolina may have had limited awareness and engagement in the transition process and experienced a reduction in primary care visits. As the state's transition process gains a foothold, future policy needs to improve enrollee engagement and develop evidence on healthcare utilization and patient outcomes.

Geographic Variation in Operative Management of Adhesive Small Bowel Obstruction.

INTRODUCTION: Variation in surgical management exists nationally. We hypothesize that geographic variation exists in adhesive small bowel obstruction (aSBO) management. MATERIALS AND METHODS: A retrospective analysis of a national commercial insurance claims database (MarketScan) sample (2017-2019) was performed in adults with hospital admission due to aSBO. Geographic variation in rates of surgical intervention for aSBO was evaluated by state and compared to a risk-adjusted national baseline using a Bayesian spatial rates Poisson regression model. For individual-level analysis, patients were identified in 2018, with 365-d look back and follow-up periods. Logistic regression was performed for individual-level predictors of operative intervention for aSBO. RESULTS: Two thousand one hundred forty-five patients were included. State-level analysis revealed rates of operative intervention for aSBO were significantly higher in Missouri and lower in Florida. On individual-level analysis, age (P < 0.01) and male sex (P < 0.03) but not comorbidity profile or prior aSBO, were negatively associated with undergoing operative management for aSBO. Patients presenting in 2018 with a history of admission for aSBO the year prior experienced a five-fold increase in odds of representation (odds ratio: 5.4, 95% confidence interval: 3.1-9.6) in 2019. Patients who received an operation for aSBO in 2018 reduced the odds of readmission in the next year by 77% (odds ratio: 0.23, 95% confidence interval: 0.1-0.5). The volume of operations performed within a state did not influence readmission. CONCLUSIONS: Surgical management of aSBO varies across the continental USA. Operative intervention is associated with decreased rates of representation in the following year. These data highlight a critical need for standardized guidelines for emergency general surgery patients.

Perceptions of North Carolina's Medicaid Transformation: A Qualitative Study.

BACKGROUND: In 2021, North Carolina switched 1.6 million beneficiaries from a fee-for-service Medicaid model to a managed care system. The state prepared beneficiaries with logistical planning and a communications plan. However, the rollout occurred during the COVID-19 pandemic, creating significant challenges. Little is known about how Medicaid Transformation impacted the experience of Medicaid enrollees. METHODS: We conducted four focus groups (N = 22) with Medicaid beneficiaries from January to March 2022 to gain insight into their experience with Medicaid Transformation. A convenience sample was recruited. Focus groups were recorded, transcribed verbatim, and verified. A codebook was developed using inductive and deductive codes. Two study team members independently coded the transcripts; discrepancies were resolved among the research team. Themes were derived by their prevalence and salience within the data. RESULTS: We identified four major themes: 1) Participants expressed confusion about the signup process; 2) Participants had a limited understanding of their new plans; 3) Participants expressed difficulty accessing services through their plans; and 4) Participants primarily noted negative changes to their care. These findings suggest that Medicaid enrollees felt unsupported during the enrollment process and had difficulty accessing assistance to gain a better understanding of their plans and new services. LIMITATIONS: Participants were recruited from a single institution in the Southeastern United States; results may not be transferable to other institutions. Participants were likely not representative of all Medicaid Transformation beneficiaries; only English-speaking participants were included. CONCLUSION: As the transition process continues, the North Carolina Medicaid program can benefit from integrating recommendations identified by member input to guide strategies for addressing whole-person care.

Ambulance diversion and ED destination by race/ethnicity: evaluation of Massachusetts' ambulance diversion ban.

BACKGROUND: The impact of ambulance diversion on potentially diverted patients, particularly racial/ethnic minority patients, is largely unknown. Treating Massachusetts' 2009 ambulance diversion ban as a natural experiment, we examined if the ban was associated with increased concordance in Emergency Medical Services (EMS) patients of different race/ethnicity being transported to the same emergency department (ED). METHODS: We obtained Medicare Fee for Service claims records (2007-2012) for enrollees aged 66 and older. We stratified the country into patient zip codes and identified zip codes with sizable (non-Hispanic) White, (non-Hispanic) Black and Hispanic enrollees. For a stratified random sample of enrollees from all diverse zip codes in Massachusetts and 18 selected comparison states, we identified EMS transports to an ED. In each zip code, we identified the most frequent ED destination of White EMS-transported patients ("reference ED"). Our main outcome was a dichotomous indicator of patient EMS transport to the reference ED, and secondary outcome was transport to an ED serving lower-income patients ("safety-net ED"). Using a difference-in-differences regression specification, we contrasted the pre- to post-ban changes in each outcome in Massachusetts with the corresponding change in the comparison states. RESULTS: Our study cohort of 744,791 enrollees from 3331 zip codes experienced 361,006 EMS transports. At baseline, the proportion transported to the reference ED was higher among White patients in Massachusetts and comparison states (67.2 and 60.9%) than among Black (43.6 and 46.2%) and Hispanic (62.5 and 52.7%) patients. Massachusetts ambulance diversion ban was associated with a decreased proportion transported to the reference ED among White (- 2.7 percentage point; 95% CI, - 4.5 to - 1.0) and Black (- 4.1 percentage point; 95% CI, - 6.2 to - 1.9) patients and no change among Hispanic patients. The ban was associated with an increase in likelihood of transport to a safety-net ED among Hispanic patients (3.0 percentage points, 95% CI, 0.3 to 5.7) and a decreased likelihood among White patients (1.2 percentage points, 95% CI, - 2.3 to - 0.2). CONCLUSION: Massachusetts ambulance diversion ban was associated with a reduction in the proportion of White and Black EMS patients being transported to the most frequent ED destination for White patients, highlighting the role of non-proximity factors in EMS transport destination.

Readmissions performance and penalty experience of safety-net hospitals under Medicare's Hospital Readmissions Reduction Program.

BACKGROUND: The Hospital Readmissions Reduction Program (HRRP), established by the Centers for Medicare and Medicaid Services (CMS) in March 2010, introduced payment-reduction penalties on acute care hospitals with higher-than-expected readmission rates for acute myocardial infarction (AMI), heart failure, and pneumonia. There is concern that hospitals serving large numbers of low-income and uninsured patients (safety-net hospitals) are at greater risk of higher readmissions and penalties, often due to factors that are likely outside the hospital's control. Using publicly reported data, we compared the readmissions performance and penalty experience among safety-net and non-safety-net hospitals. METHODS: We used nationwide hospital level data for 2009-2016 from the Centers for Medicare and Medicaid Services (CMS) Hospital Compare program, CMS Final Impact Rule, and the American Hospital Association Annual Survey. We identified as safety-net hospitals the top quartile of hospitals in terms of the proportion of patients receiving income-based public benefits. Using a quasi-experimental difference-in-differences approach based on the comparison of pre- vs. post-HRRP changes in (risk-adjusted) 30-day readmission rate in safety-net and non-safety-net hospitals, we estimated the change in readmissions rate associated with HRRP. We also compared the penalty frequency among safety-net and non-safety-net hospitals. RESULTS: Our study cohort included 1915 hospitals, of which 479 were safety-net hospitals. At baseline (2009), safety-net hospitals had a slightly higher readmission rate compared to non-safety net hospitals for all three conditions: AMI, 20.3% vs. 19.8% (p value< 0.001); heart failure, 25.2% vs. 24.2% (p-value< 0.001); pneumonia, 18.7% vs. 18.1% (p-value< 0.001). Beginning in 2012, readmission rates declined similarly in both hospital groups for all three cohorts. Based on difference-in-differences analysis, HRRP was associated with similar change in the readmissions rate in safety-net and non-safety-net hospitals for AMI and heart failure. For the pneumonia cohort, we found a larger reduction (0.23%; p < 0.001) in safety-net hospitals. The frequency of readmissions penalty was higher among safety-net hospitals. The proportion of hospitals penalized during all four post-HRRP years was 72% among safety-net and 59% among non-safety-net hospitals. CONCLUSIONS: Our results lend support to the concerns of disproportionately higher risk of performance-based penalty on safety-net hospitals.

Impact of the COVID-19 Pandemic on Diabetes Care Among a North Carolina Patient Population.

In this study, researchers reviewed electronic health record data to assess whether the coronavirus disease 2019 pandemic was associated with disruptions in diabetes care processes of A1C testing, retinal screening, and nephropathy evaluation among patients receiving care with Wake Forest Baptist Health in North Carolina. Compared with the pre-pandemic period, they found an increase of 13-21 percentage points in the proportion of patients delaying diabetes care for each measure during the pandemic. Alarmingly, delays in A1C testing were greatest for individuals with the most severe disease and may portend an increase in diabetes complications.

Limited English Proficient Patient Visits and Emergency Department Admission Rates for Ambulatory Care Sensitive Conditions in California: a Retrospective Cohort Study.

BACKGROUND: Little is known about the risk of admission for emergency department (ED) visits for ambulatory care sensitive conditions (ACSCs) by limited English proficient (LEP) patients. OBJECTIVE: Estimate admission rates from ED for ACSCs comparing LEP and English proficient (EP) patients and examine how these rates vary at hospitals with a high versus low proportion of LEP patients. DESIGN: Retrospective cohort study of California's 2017 inpatient and ED administrative data PARTICIPANTS: Community-dwelling individuals ≥ 18 years without a primary diagnosis of pregnancy or childbirth. LEP patients had a principal language other than English. MAIN MEASURES: We used a series of linear probability models with incremental sets of covariates, including patient demographics, primary diagnosis, and Elixhauser comorbidities, to examine admission rate for visits of LEP versus EP patients. We then added an interaction covariate for high versus low LEP-serving hospital. We estimated models with and without hospital-level random effects. KEY RESULTS: These analyses included 9,641,689 ED visits; 14.7% were for LEP patients. . Observed rate of admission for all ACSC ED visits was higher for LEP than for EP patients (26.2% vs. 25.2; p value < .001). Adjusted rate of admission was not statistically significant (27.3% [95% CI 25.4-29.3%] vs. 26.2% [95% CI 24.3-28.1%]). For COPD, the difference was significant (36.8% [95% CI 35.0-38.6%] vs. 33.3% [95% CI 31.7-34.9%]). Difference in adjusted admission rate for LEP versus EP visits did not differ in high versus low LEP-serving hospitals. CONCLUSIONS: In adjusted analyses, LEP was not a risk factor for admission for most ACSCs. This finding was observed in both high and low LEP-serving hospitals.

Racial and ethnic differences in uptake of cell-free fetal DNA aneuploidy screening in an urban safety net hospital.

OBJECTIVE: To identify racial disparities in cell-free fetal DNA (cffDNA) first-line aneuploidy screening use among advanced maternal age women at a safety net hospital. STUDY DESIGN: This retrospective cohort study of women 35 and older who delivered at Boston Medical Center from 2012 to 2015 compared to women who used cffDNA for first-line aneuploidy screening to those who did not. Maternal conventional demographics and social determinants of health were collected. We investigated the relationship between race and odds of cffDNA use, adjusting for covariates by stepwise logistic regression. RESULTS: We identified 1223 women. Seventy-two percent were publicly insured. Upon adjusting for parity, prenatal care site, year of delivery, and insurance status, odds of cffNDA use remained lower for Black and Hispanic women (adjusted odds ratio [aOR] 0.47, 95% confidence interval [CI] 0.30, 0.71 and aOR 0.34 [0.21, 0.55]) compared to White women. Language proved to be an effect modifier among Hispanic women that attenuated but did not resolve the disparity in use among Hispanic compared to White women. Racial differences in cffDNA use persisted across the study period. CONCLUSION: Disparity in cffDNA screening uptake exists by race in this diverse urban population. The gap in utilization between Hispanic and White women may be related to primary preferred language.

Racial/ethnic disparities in emergency department wait times in the United States, 2013-2017.

BACKGROUND: Previous research shows that Black and Hispanic patients have longer ED wait times than White patients, but these data do not reflect recent changes such as the Affordable Care Act. In addition, previous research does not account for the non-normal distribution of wait times, wherein a sizable subgroup of patients seen promptly and those not seen promptly experience long wait times. METHODS: We utilized National Hospital Ambulatory Medical Care Survey (NHAMCS) datasets (2013-2017) to examine mean ED wait time comparing visits by Black, Hispanic, and Asian patients to White patients. Using a two-part regression model, we adjusted for patient, hospital, and health system factors, and estimated differences, for each of five triage levels, in (a) likelihood of waiting at least 5 min and (b) difference in wait time among those not seen promptly. RESULTS: Our cohort included 38,800 White, 14,838 Black, 10,619 Hispanic, and 1257 Asian patient visits. Black (triage level 3) and Hispanic (triage levels 3 and 4) patients had longer mean wait times than White patients. Adjusted likelihood of not being seen promptly was lower among Blacks (triage levels 3, 4 and 5), Hispanics (triage level 5) and Asians (triage level 5) compared to Whites. Among those waiting at least 5 min, adjusted wait time was longer among Blacks in triage level 3 (5.2 min, 95% CI, 1.3 to 9.0) and level 4 (2.5 min, 95% CI, 0.2 to 4.9), Hispanics in triage level 4 (4.7 min, 95% CI, 1.7 to 7.7) and Asians in triage level 5 (16.3 min, 95% CI, 0.6 to 31.9) compared to Whites. CONCLUSIONS: Minority patients were less likely to wait to be seen, but waited longer if not seen promptly. These data exhibit that ED wait time disparities persist for African American and Hispanic patients and extend this observation to Asian patients.

Association between Medicare's Hospital Readmission Reduction Program and readmission rates across hospitals by medicare bed share.

BACKGROUND: Medicare's Hospital Readmissions Reduction Program (HRRP), implemented beginning in 2013, seeks to incentivize Inpatient Prospective Payment System (IPPS) hospitals to reduce 30-day readmissions for selected inpatient cohorts including acute myocardial infarction, heart failure, and pneumonia. Performance-based penalties, which take the form of a percentage reduction in Medicare reimbursement for all inpatient care services, have a risk of unintended financial burden on hospitals that care for a larger proportion of Medicare patients. To examine the role of this unintended risk on 30-day readmissions, we estimated the association between the extent of their Medicare share of total hospital bed days and changes in 30-day readmissions. METHODS: We used publicly available nationwide hospital level data for 2009-2016 from the Centers for Medicare and Medicaid Services (CMS) Hospital Compare program, CMS Final Impact Rule, and the American Hospital Association Annual Survey. Using a quasi-experimental difference-in-differences approach, we compared pre- vs. post-HRRP changes in 30-day readmission rate in hospitals with high and moderate Medicare share of total hospital bed days ("Medicare bed share") vs. low Medicare bed share hospitals. RESULTS: We grouped the 1904 study hospitals into tertiles (low, moderate and high) by Medicare bed share; the average bed share in the three tertile groups was 31.2, 47.8 and 59.9%, respectively. Compared to low Medicare bed share hospitals, high bed share hospitals were more likely to be non-profit, have smaller bed size and less likely to be a teaching hospital. High bed share hospitals were more likely to be in rural and non-large-urban areas, have fewer lower income patients and have a less complex patient case-mix profile. At baseline, the average readmissions rate in the low Medicare bed share (control) hospitals was 20.0% (AMI), 24.7% (HF) and 18.4% (pneumonia). The observed pre- to post-program change in the control hospitals was - 1.35% (AMI), - 1.02% (HF) and - 0.35% (pneumonia). Difference in differences model estimates indicated no differential change in readmissions among moderate and high Medicare bed share hospitals. CONCLUSIONS: HRRP penalties were not associated with any change in readmissions rate. The CMS should consider alternative options - including working collaboratively with hospitals - to reduce readmissions.

Temporal trends in pharmacologic prophylaxis for venous thromboembolism after hip and knee replacement in older adults.

Trends in prescription for venous thromboembolism (VTE) prophylaxis following total hip (THR) and knee replacement (TKR) since the approval of direct oral anticoagulants (DOACs) and the 2012 guideline endorsement of aspirin are unknown, as are the risks of adverse events. We examined practice patterns in the prescription of prophylaxis agents and the risk of adverse events during the in-hospital period (the 'in-hospital sample') and 90 days following discharge (the 'discharge sample') among adults aged ⩾ 65 undergoing THR and TKR in community hospitals in the Institute for Health Metrics database over a 30-month period during 2011 to 2013. Eligible medications included fondaparinux, DOACs, low molecular weight heparin (LMWH), other heparin products, warfarin, and aspirin. Outcomes were validated by physician review of source documents: VTE, major hemorrhage, cardiovascular events, and death. The in-hospital and the discharge samples included 10,503 and 5722 adults from 65 hospitals nationwide, respectively (mean age 73, 74 years; 61%, 63% women). Pharmacologic prophylaxis was near universal during the in-hospital period (93%) and at discharge (99%). DOAC use increased substantially and was the prophylaxis of choice for nearly a quarter (in-hospital) and a third (discharge) of the patients. Aspirin was the sole discharge prophylactic agent for 17% and 19% of patients undergoing THR and TKR, respectively. Warfarin remained the prophylaxis agent of choice for patients aged 80 years and older. The overall risk of adverse events was low, at less than 1% for both the in-hospital and discharge outcomes. The low number of adverse events precluded statistical comparison of prophylaxis regimens.

Disparities in complementary alternative medicine use and asthma exacerbation in the United States.

Background: Complementary and alternative medicines (CAM) are associated with poor asthma medication adherence, a major risk factor for asthma exacerbation. However, previous studies showed inconsistent relationships between CAM use and asthma control due to small sample sizes, demographic differences across populations studied, and poor differentiation of CAM types.Methods: We examined associations between CAM use and asthma exacerbation using a cross-sectional analysis of the 2012 National Health Interview Survey. We included adults ≥18 years with current asthma (n = 2,736) to analyze racial/ethnic differences in CAM use as well as the association between CAM use and both asthma exacerbation and emergency department (ED) visit for asthma exacerbation across racial/ethnic groups. We ran descriptive statistics and multivariable logistic regressions.Result: Blacks (OR = 0.63 [0.49-0.81]) and Hispanics (OR = 0.66 [0.48-0.92]) had decreased odds of using CAM compared to Whites. Overall, there was no association between CAM use and asthma exacerbation (OR = 0.99 [0.79-1.25]) but the subgroup of 'other complementary approaches' was associated with increased odds of asthma exacerbation among all survey respondents (1.90 [1.21-2.97]), Whites (OR = 1.90 [1.21-2.97]), and Hispanics (OR = 1.43 [0.98-2.09). CAM use was associated with decreased odds of an ED visit for asthma exacerbation (OR = 0.65 [0.45-0.93]). These associations were different among racial/ethnic groups with decreased odds of ED visit among Whites (OR = 0.50 [0.32-0.78]) but no association among Blacks and Hispanics.Conclusion: We found that both CAM use and the association between CAM use and asthma exacerbation varied by racial/ethnic group. The different relationship may arise from how CAM is used to complement or to substitute for conventional asthma management.

Changes to dietary and health outcomes following implementation of the 2012 updated US Department of Agriculture school nutrition standards: analysis using National Health and Nutrition Examination Survey, 2005-2016.

OBJECTIVE: In 2012, the US government overhauled school nutrition standards, but few studies have evaluated the effects of these standards at the national level. The current study examines the impact of the updated school nutrition standards on dietary and health outcomes of schoolchildren in a nationally representative data set. DESIGN: Difference-in-differences. We compared weekday fruit and vegetable intake between students with daily school lunch participation and students without school lunch participation before and after implementation of updated school nutrition standards using a multivariable linear regression model. Secondary outcomes included weekday solid fat and added sugar (SoFAS) intake and overweight and obesity prevalence. We adjusted analyses for demographic and family socio-economic factors. SETTING: USA. PARTICIPANTS: K-12 students, aged 6-20 years (n 9172), from the National Health and Nutrition Examination Survey, 2005-2016. RESULTS: Implementation of updated school nutrition standards was not associated with a change in weekday fruit and vegetable intake (ß = 0·02 cups, 95 % CI -0·23, 0·26) for students with daily school lunch participation. However, implementation of the policy was associated with a 1·5 percentage point (95 % CI -3·0, -0·1) decline in weekday SoFAS intake and a 6·1 percentage point (95 % CI -12·1, -0·1) decline in overweight and obesity prevalence. CONCLUSIONS: Changes to US school nutrition standards were associated with reductions in the consumption of SoFAS as well as a decrease in overweight and obesity in children who eat school lunch. However, we did not detect a change in weekday intake of fruits and vegetables associated with the policy change.

Is insurance instability associated with hypertension outcomes and does this vary by race/ethnicity?

BACKGROUND: Stable health insurance is often associated with better chronic disease care and outcomes. Racial/ethnic health disparities in outcomes are prevalent and may be associated with insurance instability, particularly in the context of health insurance reform. METHODS: We examined whether insurance instability was associated with uncontrolled blood pressure (UBP) and whether this association varied by race/ethnicity. We used a retrospective longitudinal observational cohort study of patients diagnosed with hypertension who obtained care within two health systems in Massachusetts. We measured the UBP, insurance instability, and race of 43,785 adult primary care patients, age 21-64 with visits from 1/2005-12/2013. RESULTS: We found higher rates of UBP for blacks and Hispanics at each time point over the entire 9 years. Insurance instability was associated with greater rates of UBP. Always uninsured black patients fared worst, while white and Hispanic patients with consistent public insurance fared best. CONCLUSIONS: Stable insurance of any type was associated with better hypertension control than no or unstable insurance.

Racial Differences in Insurance Stability After Health Insurance Reform.

BACKGROUND: One of the potential benefits of insurance reform is greater stability of insurance and reduced coverage disparities by race and ethnicity. OBJECTIVES: We examined the temporal trends in insurance coverage by racial/ethnic group before and after Massachusetts Insurance Reform by abstracting records across 2 urban safety net hospital systems. RESEARCH DESIGN: We examined adjusted odds of being uninsured and incident rate ratios of gaining and losing insurance over time by race and ethnicity. We used billing records to capture the payer for each episode of care. SUBJECTS: We included data from January 2005 through December 2013 on patients with hypertension between the ages of 21 and 64 years. We compared 4 racial and ethnic groups: non-Hispanic white, non-Hispanic Black, non-Hispanic Asian, and Hispanic. MEASURES: We examined individual patients' insurance coverage status in 6-month intervals. We compared odds of being uninsured in the transition and postinsurance reform period to the prereform period, adjusting for age, sex, comorbidities practice location and education, and income by Census tract. RESULTS: Among 48,291 patients with hypertension, reduction in rates of uninsurance with insurance reform was greater for Hispanic (29.7%), non-Hispanic Black (24.8%), and non-Hispanic Asian (26.8%) than non-Hispanic white (14.9%) patients. The odds of becoming uninsured were reduced in all racial and ethnic groups (odds ratio, 0.27-0.41). CONCLUSIONS: Massachusetts Insurance Reform resulted in stable insurance coverage and a reduction in disparities in insurance instability by race and ethnicity.

Disparities in Emergency Department Visits Among Collocated Racial/Ethnic Medicare Enrollees.

STUDY OBJECTIVE: We estimate emergency department (ED) use differences across Medicare enrollees of different race/ethnicity who are residing in the same zip codes. METHODS: In this retrospective cohort study, we stratified all Medicare fee-for-service beneficiaries aged 66 years and older (2006 to 2012) by residence zip code and identified zip codes with racial/ethnic diversity, defined as containing at least 1 enrollee from each of 3 racial/ethnic groups: Hispanics, (non-Hispanic) blacks, and (non-Hispanic) whites. Our primary study population consisted of a stratified random sample of approximately equal number of each racial/ethnic group from each zip code with racial/ethnic diversity (N=1,563,631). We identified ED visits, comorbidities, primary-care-treatable status, and patient disposition. We characterized socioeconomic status by zip code poverty rate. The main outcome measure was the ratio of ED visit rate (number of visits/100 person-years) between each minority group and whites. RESULTS: Of 38,423 zip codes nationally, 41% met the racial/ethnic diversity criterion; these zip codes contained 85% of the Medicare fee-for-service beneficiaries. Among enrollees from zip codes with racial/ethnic diversity, the ED visit rate among whites was 45.4 (95% confidence interval 45.1 to 45.6), and the ED visit rate ratio was 1.34 (95% confidence interval 1.33 to 1.36) among blacks and 1.23 (95% confidence interval 1.22 to 1.24) among Hispanics. ED visit rate ratios for both minority groups were greater than 1.00 among all subgroups by age, comorbidity, zip code poverty rate, urban/rural area, and primary-care-treatable and disposition status. CONCLUSION: Among Medicare enrollees, blacks and Hispanics had higher ED use rates than whites overall and among subgroups by demographics and socioeconomic status.

One-year costs of medical admissions with and without a 30-day readmission and enhanced risk adjustment.

BACKGROUND: To overcome the limitations of administrative data in adequately adjusting for differences in patients' risk of readmissions, recent studies have added supplemental data from patient surveys and other sources (e.g., electronic health records). However, judging the adequacy of enhanced risk adjustment for use in assessment of 30-day readmission as a hospital quality indicator is not straightforward. In this paper, we evaluate the adequacy of risk adjustment by comparing the one-year costs of those readmitted within 30 days to those not after excluding the costs of the readmission. METHODS: In this two-step study, we first used comprehensive administrative and survey data on a nationally representative Medicare cohort of hospitalized patients to compare patients with a medical admission who experienced a 30-day readmission to patients without a readmission in terms of their overall Medicare payments during 12 months following the index discharge. We then examined the extent to which a series of enhanced risk adjustment models incorporating code-based comorbidities, self-reported health status and prior healthcare utilization, reduced the payment differences between the admitted and not readmitted groups. RESULTS: Our analytic cohort consisted 4684 index medical hospitalization of which 842 met the 30-day readmission criteria. Those readmitted were more likely to be older, White, sicker and with higher healthcare utilization in the previous year. The unadjusted subsequent one-year Medicare spending among those readmitted ($56,856) was 60% higher than that among the non-readmitted ($35,465). Even with enhanced risk adjustment, and across a variety of sensitivity analyses, one-year Medicare spending remained substantially higher (46.6%, p < 0.01) among readmitted patients. CONCLUSIONS: Enhanced risk adjustment models combining health status indicators from administrative and survey data with previous healthcare utilization are unable to substantially reduce the cost differences between those medical admission patients readmitted within 30 days and those not. The unmeasured patient severity that these cost differences most likely reflect raises the question of the fairness of programs that place large penalties on hospitals with higher than expected readmission rates.