Insurance status and the treatment of myocardial infarction at academic centers

Effect of Race and Insurance Status on Treatment and Outcomes in Diabetic Retinopathy: Analysis of 43 274 Eyes Using the IRIS Registry

Purpose: To examine disparities in visual acuity (VA) outcomes 1 year and 2 years after initiation of diabetic retinopathy (DR) or diabetic macular edema (DME) treatment in patients based on race/ethnicity and insurance status, accounting for disease severity. Methods: This retrospective analysis used the IRIS Registry and included DR patients older than 18 years with documented antivascular endothelial growth factor (anti-VEGF) treatment and VA data for at least 2 years. International Classification of Diseases, Tenth Revision, Clinical Modification codes were used to determine the severity of DR and DME presence. VA outcomes were assessed using multivariable linear regressions and anti-VEGF drug use by multivariable logistic regressions, with race and insurance status as independent variables. Main outcome measures comprised the mean VA change at 1 year and 2 years and percentage of patients treated with bevacizumab. Results: The study included 43 274 eyes. White patients presented with a higher mean VA and lower mean DR severity than Black patients and Hispanic patients. Multivariable logistic regression showed Hispanic patients were significantly more likely to be treated with bevacizumab than White patients across all insurance types, controlling for disease severity and VA. After 1 year, the letter improvement was 1.73, 1.33, and 1.13 in White patients, Black patients, and Hispanic patients, respectively. Multivariable linear regression suggested that across races, Medicaid-insured patients had significantly smaller gains in VA than privately insured patients. Conclusions: Race-based and insurance-based differences in 1-year and 2-year outcomes after anti-VEGF treatment for DR and anti-VEGF treatment patterns suggest a need to ensure earlier and more effective treatment of minority and underserved patients in the United States.

Evaluating the Efficiency and Equity of Autism Diagnoses via Telehealth During COVID-19

Given existing barriers to a timely autism diagnosis, this study compares the efficiency and equity of diagnoses conducted in-person vs. telehealth in a developmental behavioral pediatrics setting. The transition to telehealth was prompted by the COVID-19 pandemic. Eleven months of clinic data in electronic medical records were retrospectively analyzed for children diagnosed with autism in-person (N = 71) vs. telehealth (N = 45). Time to autism diagnosis, patient demographics, and deferred diagnoses did not significantly differ across visit types. However, privately insured patients and families living farther from the clinic had a longer time to diagnosis via telehealth vs. in-person. Results of this exploratory study highlight the feasibility of telehealth evaluations for autism and which families may benefit from additional support to ensure a timely diagnosis.

Racial and Socioeconomic Disparities in Out-Of-Hospital Cardiac Arrest Outcomes: Artificial Intelligence-Augmented Propensity Score and Geospatial Cohort Analysis of 3,952 Patients

Introduction

Social disparities in out-of-hospital cardiac arrest (OHCA) outcomes are preventable, costly, and unjust. We sought to perform the first large artificial intelligence- (AI-) guided statistical and geographic information system (GIS) analysis of a multiyear and multisite cohort for OHCA outcomes (incidence and poor neurological disposition).

Method

We conducted a retrospective cohort analysis of a prospectively collected multicenter dataset of adult patients who sequentially presented to Houston metro area hospitals from 01/01/07-01/01/16. Then AI-based machine learning (backward propagation neural network) augmented multivariable regression and GIS heat mapping were performed.

Results

Of 3,952 OHCA patients across 38 hospitals, African Americans were the most likely to suffer OHCA despite representing a significantly lower percentage of the population (42.6 versus 22.8%; p < 0.001). Compared to Caucasians, they were significantly more likely to have poor neurological disposition (OR 2.21, 95%CI 1.25–3.92; p=0.006) and be discharged to a facility instead of home (OR 1.39, 95%CI 1.05–1.85; p=0.023). Compared to the safety net hospital system primarily serving poorer African Americans, the university hospital serving primarily higher income commercially and Medicare insured patients had the lowest odds of death (OR 0.45, p < 0.001). Each additional $10,000 above median household income was associated with a decrease in the total number of cardiac arrests per zip code by 2.86 (95%CI -4.26- -1.46; p < 0.001); zip codes with a median income above $54,600 versus the federal poverty level had 14.62 fewer arrests (p < 0.001). GIS maps showed convergence of the greater density of poor neurologic outcome cases and greater density of poorer African American residences.

Conclusion

This large, longitudinal AI-guided analysis statistically and geographically identifies racial and socioeconomic disparities in OHCA outcomes in a way that may allow targeted medical and public health coordinated efforts to improve clinical, cost, and social equity outcomes.

Not All Insurance Is Equal: Differential Treatment and Health Outcomes by Insurance Coverage Among Nonelderly Adult Patients With Heart Attack

Background

The Affordable Care Act has provided health insurance to a large portion of the uninsured in the United States. However, different types of health insurance provide varying amounts of reimbursements to providers, which may lead to different types of treatment, potentially worsening health outcomes in patients covered by low‐reimbursement insurance plans, such as Medicaid. The objective was to determine differences in access, treatment, and health outcomes by insurance type, using hospital fixed effects.

Methods and Results

We conducted a multivariate regression analysis using patient‐level data for nonelderly adult patients with acute myocardial infarction in California from January 1, 2001, to December 31, 2014, as well as hospital‐level information to control for differences between hospitals. The probability of Medicaid‐insured and uninsured patients having access to catheterization laboratory was higher by 4.50 and 3.75 percentage points, respectively, relative to privately insured patients. When controlling for access to percutaneous coronary intervention facilities, however, Medicaid‐insured and uninsured patients had a 4.24– and 0.85–percentage point lower probability, respectively, in receiving percutaneous coronary intervention treatment compared with privately insured patients. They also had higher mortality and readmission rates relative to privately insured patients.

Conclusions

Although Medicaid‐insured and uninsured patients with acute myocardial infarction had better access to catheterization laboratories, they had significantly lower probabilities of receiving percutaneous coronary intervention treatment and a higher likelihood of death and readmission compared with privately insured patients. This provides empirical evidence that treatment received and health outcomes strongly vary between Medicaid‐insured, uninsured, and privately insured patients, with Medicaid‐insured patients most disproportionately affected, despite having better access to cardiac technology.

Sex, race, and insurance status differences in hospital treatment and outcomes following out-of-hospital cardiac arrest

BACKGROUND

Sex, race, and insurance status are associated with treatment and outcomes in several cardiovascular diseases. These disparities, however, have not been well-studied in out-of-hospital cardiac arrest (OHCA).

OBJECTIVE

Our objective was to evaluate the association of patient sex, race, and insurance status with hospital treatments and outcomes following OHCA.

METHODS

We studied adult patients in the 2011-2015 California Office of Statewide Health Planning and Development (OSHPD) Patient Discharge Database with a "present on admission" diagnosis of cardiac arrest (ICD-9-CM 427.5). Insurance status was classified as private, Medicare, and Medi-Cal/government/self-pay. Our primary outcome was good neurologic recovery at hospital discharge, which was determined by discharge disposition. Secondary outcomes were survival to hospital discharge, treatment at a 24/7 percutaneous coronary intervention (PCI) center, "do not resuscitate" orders within 24 h of admission, and cardiac catheterization during hospitalization. Data were analyzed with hierarchical multiple logistic regression models.

RESULTS

We studied 38,163 patients in the OSHPD database. Female sex, non-white race, and Medicare insurance status were independently associated with worse neurologic recovery [OR 0.94 (0.89-0.98), 0.93 (0.88-0.98), and 0.85 (0.79-0.91), respectively], lower rates of treatment at a 24/7 PCI center [OR 0.89 (0.85-0.93), 0.88 (0.85-0.93), and 0.87 (0.82-0.94), respectively], and lower rates of cardiac catheterization [OR 0.61 (0.57-0.65), 0.90 (0.84-0.97), and 0.44 (0.40-0.48), respectively]. Female sex, white race, and Medicare insurance were associated with DNR orders within 24 h of admission [OR 1.16 (1.10-1.23), 1.14 (1.07-1.21), and 1.25 (1.15-1.36), respectively].

CONCLUSIONS

Sex, race, and insurance status were independently associated with post-arrest care interventions, patient outcomes and treatment at a 24/7 PCI center. More studies are needed to fully understand the causes and implications of these disparities.

Depressive symptoms effect on self care behavior during the first month after myocardial infarction

Aim:

To determine the effect of severity of depression symptoms on self care behavior in 15th and 30th day after myocardial infarction (MI).

Materials and Methods:

Gathering data for this cross sectional study was done by Beck depression and self care behavior questionnaires in a heart especial hospital in Rasht in north of Iran. Sample size was 132 after MI patients and data collected from June 2011 to January 2012.

Results:

Scores of depression symptoms in 15th and 30th day after MI and score of self care behavior in these days had significant difference (P<0.0001). Spearman test showed self care behavior had significant relationship with depression symptoms (P<0.0001). GEE model also showed with control of socio demographic and illness related factors, depression symptoms can decrease self care behavior scores (P<0.001).

Conclusion:

Severity of depression symptoms increase in 15th to 30th day after MI. This issue can affect on self care behavior. This issue is emphasized on nurses’ notice to plan suitable self care program for these patients.

Centers for cardiovascular outcomes research: defining a collaborative vision

BACKGROUND

Recognizing the value of outcomes research to understand and bridge translational gaps, to establish evidence in clinical practice and delivery of medicine, and to generate new hypotheses on ongoing questions of treatment and care, the National Heart, Lung, and Blood Institute of the National Institutes of Health established the Centers for Cardiovascular Outcomes Research program in 2010.

METHODS AND RESULTS

The National Heart, Lung, and Blood Institute funded 3 centers and a research coordinating unit. Each center has an independent project focus, including (1) characterizing care transition and predicting clinical events and quality of life for patients discharged after an acute coronary syndrome; (2) identifying center and regional factors associated with better patient outcomes across several cardiovascular conditions and procedures; and (3) examining the impact of healthcare reform in Massachusetts on overall and disparate care and outcomes for several cardiovascular conditions and venous thromboembolism. Cross-program collaborations seek to advance the field methodologically and to develop early-stage investigators committed to careers in outcomes research.

CONCLUSIONS

The Centers for Cardiovascular Outcomes Research program represents a significant investment in cardiovascular outcomes research by the National Heart, Lung, and Blood Institute. The vision of this program is to leverage scientific rigor and cross-program collaboration to advance the science of healthcare delivery and outcomes beyond what any individual unit could achieve alone.

Electronic health records vs Medicaid claims: completeness of diabetes preventive care data in community health centers

PURPOSE

Electronic Health Record (EHR) databases in community health centers (CHCs) present new opportunities for quality improvement, comparative effectiveness, and health policy research. We aimed (1) to create individual-level linkages between EHR data from a network of CHCs and Medicaid claims from 2005 through 2007; (2) to examine congruence between these data sources; and (3) to identify sociodemographic characteristics associated with documentation of services in one data set vs the other.

METHODS

We studied receipt of preventive services among established diabetic patients in 50 Oregon CHCs who had ever been enrolled in Medicaid (N = 2,103). We determined which services were documented in EHR data vs in Medicaid claims data, and we described the sociodemographic characteristics associated with these documentation patterns.

RESULTS

In 2007, the following services were documented in Medicaid claims but not the EHR: 11.6% of total cholesterol screenings received, 7.0% of total influenza vaccinations, 10.5% of nephropathy screenings, and 8.8% of tests for glycated hemoglobin (HbA(1c)). In contrast, the following services were documented in the EHR but not in Medicaid claims: 49.3% of cholesterol screenings, 50.4% of influenza vaccinations, 50.1% of nephropathy screenings, and 48.4% of HbA(1c) tests. Patients who were older, male, Spanish-speaking, above the federal poverty level, or who had discontinuous insurance were more likely to have services documented in the EHR but not in the Medicaid claims data.

CONCLUSIONS

Networked EHRs provide new opportunities for obtaining more comprehensive data regarding health services received, especially among populations who are discontinuously insured. Relying solely on Medicaid claims data is likely to substantially underestimate the quality of care.

Inequalities in socio-economic status and invasive procedures for coronary heart disease: a comparison between the USA and the UK

BACKGROUND

Coronary heart disease (CHD) is a serious health problem in the USA and UK. Low socio-economic status (SES) has been associated with an increased prevalence of CHD and also with inequalities in related health outcomes. Rates of utilisation of invasive coronary procedures (ICPs), which improve CHD outcomes and quality of life, can be employed as indicators of quality of medical care.

OBJECTIVES

To investigate and compare inequalities in care experienced by low SES CHD patients in the US Medicaid programme and the UK National Health Service (NHS) in relation to waiting times for, and access to, ICPs. Possible ways of addressing SES inequalities are proposed. SETTING/SUBJECT: Coronary heart disease patients eligible for ICPs in the US Medicaid programme and the UK NHS.

METHODS

A systematic literature search was performed for relevant SES inequalities. Data from 43 sources were analysed.

RESULTS

Both countries exhibited differences in waiting times for coronary angiography (CA) and percutaneous transluminal coronary angioplasty/coronary artery bypass graft (PTCA)/(CABG). Low SES patients waited longer than high SES patients within each country. The disparity in CHD care between low and high SES patients within each country appeared to be similar. Low SES patients in both countries experienced reduced rates of CA and CABG/PTCA. IMPLICATIONS/CONCLUSION: Despite differences between the US third-party payer system and the UK socialised, primary care-oriented system, each country faces the same SES inequalities regarding waiting time for and access to the ICPs. Understanding the reasons behind these inequalities is vital to address them.

The Internet Tracking Registry of Acute Coronary Syndromes (i*trACS): A Multicenter Registry of Patients With Suspicion of Acute Coronary Syndromes Reported Using the Standardized Reporting Guidelines for Emergency Department Chest Pain Studies

STUDY OBJECTIVE

Observational studies of well-described patient populations presenting to emergency departments (EDs) with suspicion of acute coronary syndrome are necessary to understand the relationships between patients' signs and symptoms, cardiac risk profile, test results, practice patterns, and outcomes. We describe the methods for data collection and the ED population enrolled in a multicenter registry of patients with chest pain.

METHODS

Patients older than 18 years, presenting to one of 8 EDs in the United States or 1 ED in Singapore, and with possible acute coronary syndrome were enrolled in the Internet Tracking Registry of Acute Coronary Syndromes between June 1999 and August 2001. Prospective data, including presenting signs and symptoms, ECG findings, and the ED physician's initial impression of risk, were systematically collected. Medical record review or daily follow-up was used to obtain cardiac biomarker results, invasive and noninvasive testing, treatments, procedures, and inhospital outcomes. Thirty-day outcomes were determined by telephone follow-up and medical record review.

RESULTS

The registry includes 15,608 patients, with 17,713 visits. Chest pain was the chief complaint in 71% of visits. The ECG was diagnostic of ischemia or infarction in 10.1% and positive cardiac biomarkers were observed in 10% of visits. Forty-three percent of patients were sent home directly from the ED. Of admitted patients, 5% died by 30 days, and 3% had documented coronary artery disease or had undergone percutaneous coronary intervention or coronary artery bypass grafting within 30 days. For patients discharged directly from the ED, 0.4% died or had a documented myocardial infarction within 30 days. Coronary artery bypass graft surgery, percutaneous coronary intervention, or a diagnosis of coronary artery disease was found in 0.5% of discharged patients.

CONCLUSION

A unique description of undifferentiated ED chest pain patients with suspected acute coronary syndrome is provided. The data set can be used to generate and explore hypotheses to improve understanding of the complex relationships between presentation, treatment, testing, intervention and outcomes.

Inadequate medical treatment of patients with coronary artery disease by primary care physicians in Germany

AIMS

The DETECT study was performed to obtain representative data about the frequency, distribution, and treatment of patients with coronary artery disease (CAD) in the primary care setting in Germany.

METHODS AND RESULTS

The DETECT study was a cross-sectional clinical- epidemiological survey of a nationally representative sample of 3795 primary care offices and 55,518 patients. Overall, 12.4% of patients were diagnosed with CAD. Stable angina pectoris and myocardial infarction were the most frequent (4.2%) subgroups, followed by status post (s/p) percutaneous coronary interventions (PCI, 3.0%) and s/p coronary bypass surgery (2.2%). Patients with CAD were prescribed AT1 receptor antagonists (in 19.4% of cases), beta blockers (57.2%), ACE inhibitors (49.9%), antiplatelet agents (52.7%), statins (43.0%), and long-term nitrates (24.5%). When comparing all CAD patients with social health care insurance to those who had private insurance, private patients had significantly higher rates of revascularisation procedures and use of preventive medications.

CONCLUSION

Great potential remains for improving secondary prevention in primary care in Germany to reduce the risk of further coronary or vascular events, especially in patients with social health care insurance.