Rural cardiac arrest care and outcomes in Texas.

INTRODUCTION: Out-of-hospital cardiac arrest (OHCA) victims in rural communities have worse outcomes despite higher rates of bystander cardiopulmonary resuscitation (CPR) than urban communities. In this retrospective cohort study we attempt to evaluate selected aspects of the continuum of care, including post-arrest care, for rural OHCA victims, and we investigated factors that could contribute to rural areas having higher rates of bystander CPR. METHODS: We analyzed 2014-2020 Texas Cardiac Arrest Registry to Enhance Survival (TX-CARES) data for adult OHCAs. We linked TX-CARES data to census tract data and stratified OHCAs into urban and rural events. We created a mixed-model logistic regression to compare cardiac arrest characteristics, pre-hospital care, and post-arrest care between rural and urban settings. We adjusted for confounders and modeled census tract as a random intercept. We then compared different regression models evaluating the association between response time and bystander CPR. RESULTS: We included 1202 rural and 28,288 urban cardiac arrests. Comparing rural to urban OHCAs, rates of bystander CPR were significantly higher in rural communities (49.6% v 40.6%, aOR 1.3 95% CI 1.1-1.5). The median response time for rural (11.5 min) was longer than urban (7.3 min). The occurrence of an ambulance response time of <10 min was notably less common in rural communities when compared to urban areas (aOR 0.2, 95% CI 0.2-0.2). For post-arrest care the rates of percutaneous coronary intervention (PCI) were higher in rural than urban communities (aOR 1.7, 95% CI 1.01-2.8). The rates of AED and TTM were similar between urban and rural communities. Survival to hospital discharge was significantly lower in rural communities than urban communities (aOR 0.6, 95% CI 0.4-0.7). Although not significant, rural communities had lower rate of survival with a cognitive performance score (CPC) of 1 or 2 (aOR 0.7, 05% CI 0.6-1.003). We identified no association between response time and bystander CPR. CONCLUSION: Patients in rural areas of Texas have lower survival after OHCA compared to patients in urban areas, despite having significantly greater rates of bystander CPR and PCI. We did not find a link between response time and bystander CPR rates.

First Responder CPR and Survival Differences in Texas Minority and Lower Socioeconomic Status Neighborhoods.

INTRODUCTION: First responder (FR) cardiopulmonary resuscitation (CPR) is an important component of out-of-hospital cardiac arrest (OHCA) care. However, little is known about FR CPR disparities. METHODS: We linked the 2014-2021 Texas Cardiac Arrest Registry to Enhance Survival (TX-CARES) database to census tract data. We included non-traumatic OHCAs that were not witnessed by 9-1-1 responders and did not receive bystander CPR. We defined census tracts as having >50% of a race/ethnicity: White, Black, or Hispanic/Latino. We also stratified patients into quartiles based on socioeconomic status (SES): household income, high school graduation, and unemployment. We also combined race/ethnicity and income to create a total of five mixed strata, comparing lower income and minority census tracts to high income White census tracts. We created mixed model logistic regression models, adjusting for confounders and modeling census tract as a random intercept. Using the models, we compared FR CPR rates for census race/ethnicity (Black and Hispanic/Latino compared to White), and SES quartiles (2nd, 3rd, and 4th quartiles compared to 1st quartiles). Secondarily, we evaluated the association between FR CPR and survival for all strata. RESULTS: We included 21,966 OHCAs, and 57.4% had FR CPR. Evaluating the association between census tract characteristic and FR CPR, majority Black (aOR 0.30, 95% CI 0.22-0.41) had a lower bystander CPR rate when compared to majority White. The lowest income quartile had a lower rate of bystander CPR (aOR 0.80, 95% CI 0.65-0.98). The worst unemployment quartile was also associated with a lower rate of FR CPR (aOR 0.75, 95% CI 0.61-0.92). Combining race/ethnicity and income, middle income majority Black (30.0%; aOR 0.27, 95% CI 0.17-0.46) and low income >80% Black (31.8%; aOR 0.27, 95% CI 0.10-0.68) had lower rates of FR CPR in comparison to high income majority White. There were no associations between Hispanic or lower high school graduation and lower rates of FR CPR. We found no association between FR CPR and survival for all three strata. CONCLUSION: While we identified disparities in FR CPR in low SES and majority Black census tracts, we identified no association between FR CPR and survival in Texas.

Racial/ethnic and gender disparities of the impact of the COVID-19 pandemic in out-of-hospital cardiac arrest (OHCA) in Texas.

INTRODUCTION: Prior research shows a greater disease burden, lower BCPR rates, and worse outcomes in Black and Hispanic patients after OHCA. Female OHCA patients have lower rates of BCPR compared to men and other survival outcomes vary. The influence of the COVID-19 pandemic on OHCA incidence and outcomes in different health disparity populations is unknown. METHODS: We used data from the Texas Cardiac Arrest Registry to Enhance Survival (CARES). We determined the association of both prehospital characteristics and survival outcomes with the pandemic period in each study group through Pearson's χ2 test or Fisher's exact tests. We created mixed multivariable logistic regression models to compare odds of cardiac arrest care and outcomes between 2019 and 2020 for the study groups. RESULTS: Black OHCA patients (aOR = 0.73; 95% CI: 0.65 - 0.82) had significantly lower odds of BCPR compared to White OHCA patients, were less likely to achieve ROSC (aOR = 0.86; 95% CI: 0.74 - 0.99) or have a good CPC score (aOR = 0.47; 95% CI: 0.29 - 0.75). Compared to White patients with OHCA, Hispanic persons were less likely to have a field TOR (aOR = 0.86; 95% CI: 0.75 - 0.99) or receive BCPR (aOR = 0.78; 95% CI: 0.69 - 0.87). Female OHCA patients had higher odds of surviving to hospital admission compared to males (aOR = 1.29; 95% CI: 1.15 - 1.44). CONCLUSION: Many OHCA outcomes worsened for Black and Hispanic patients. While some aspects of care worsened for women, their odds of survival improved compared to males.

Impact of post-arrest care variation on hospital performance after out-of-hospital cardiac arrest.

Background: Large variation exists for out-of-hospital-cardiac-arrest (OHCA) prehospital care, but less is known about variations in post-arrest care. We sought to evaluate variation in post-arrest care in Texas as well as factors associated with higher performing hospitals. Methods: We analyzed data in Texas Cardiac Arrest Registry to Enhance Survival (TX-CARES), including all adult, non-traumatic OHCAs from 1/1/2014 through 12/31/ 2020 that survived to hospital admission. We first evaluated variability in provisions of post-arrest care and outcomes. We then stratified hospitals into quartiles based on their rate of survival and evaluated the association between improving quartiles and care. Lastly, we evaluated for outliers in post-arrest care and outcomes using a mixed-effect regression model. Results: We analyzed 7,842 OHCAs admitted to 146 hospitals. We identified large variations in post-arrest care, including targeted temperature management (TTM) (IQR 7.0-51.1%), left heart catheterization (LHC) (IQ 0-25%), and percutaneous coronary intervention (PCI) (IQR 0-10.3%). Higher performing hospital quartiles were associated with higher rates of TTM (aOR 1.42, 95% CI 1.36-1.49), LHC (aOR 2.07, 95% CI 1.92-2.23), and PCI (aOR 2.02, 95% CI 1.81-2.25); but lower rates of bystander CPR (aOR 0.90, 95% CI 0.87-0.94). We identified numerous performance outlier hospitals; 39 for TTM, 34 for PCI, 9 for survival to discharge, and 24 for survival with good neurologic function. Conclusions: Post-arrest care varied widely across Texas hospitals. Hospitals with higher rates of survival to discharge had increased rates of TTM, LHC, and PCI but not bystander CPR.

Socioeconomic status and post-arrest care after out-of-hospital cardiac arrest in Texas.

INTRODUCTION: Post-arrest care after out-of-hospital cardiac arrest (OHCA) is critical to optimizing outcomes, but little is known about socioeconomic disparities in post-arrest care. We evaluated the association of socioeconomic status (SES) with post-arrest care and outcomes. METHODS: We included adult OHCAs surviving to hospital admission from the 2014-2020 Texas Cardiac Arrest Registry to Enhance Survival (CARES) and stratified cases into SES quartiles based on census tract data. Outcomes were targeted temperature management (TTM), percutaneous coronary intervention (PCI), survival to discharge, and survival with a Cerebral Performance Category (CPC) 1-2. We applied both a multivariable logistic regression and a mixed effects logistic regression, comparing lower quartiles to top quartile for outcomes. We modeled receiving hospital as a random intercept. RESULTS: We included 9,936 OHCAs. Using multivariable logistic regression and ignoring the receiving hospital, lower income had lower TTM (Q3 aOR 0.6, 95% CI 0.5-0.7; Q4 aOR 0.5, 95% CI 0.5-0.6), lower PCI (Q4 aOR 0.6, 95% CI 0.4-0.8), and lower survival with good CPC. Lower education had lower TTM (Q2 aOR 0.7, 95% CI 0.7-0.8; Q3 aOR, 0.6 95% CI 0.5-0.7; Q4 aOR 0.6, 95% CI 0.5-0.7), lower survival, and lower survival with good CPC. Lower employment had lower TTM (Q3 aOR 0.7, 95% CI 0.6-0.9; Q4 aOR 0.7, 95% CI 0.6-0.9) and survival with good CPC. These relationships for post-arrest care were not significant on mixed model analyses though. CONCLUSION: Lower SES was linked to lower rates of post-arrest care and outcomes, but many of the associations diminished when adjusting for receiving hospital random effect. Further study is needed to evaluate for inter-hospital disparities in care.

Race and ethnicity disparities in post-arrest care in Texas.

INTRODUCTION: Post-arrest care is essential to the chain of survival after out-of-hospital cardiac arrest (OHCA). Sparse literature evaluates disparities in post-arrest care. We sought to measure post-arrest care disparities using a statewide OHCA registry. METHODS: We evaluated 2014-2020 data in the Texas Cardiac Arrest Registry to Enhance Survival (TX-CARES) and included adult OHCAs surviving to hospital admission. We stratified subjects by race/ethnicity. Outcomes were targeted temperature management (TTM), percutaneous intervention (PCI), early withdrawal of life-sustaining therapies (WLST), survival to discharge, and survival with cerebral performance category (CPC) of 1-2 (considered favorable). We used both multivariable and mixed-effects, logistic regression models to evaluate the association between race/ethnicity and outcomes, adjusting for confounders. We modeled receiving hospital as a random intercept for the mixed-models analysis. RESULTS: We included 8,363 OHCAs; 3,916 White, 2,251 Black, 2,196 Hispanic/Latino. On multivariable analysis, Black patients had a lower PCI (aOR 0.4, 95% CI 0.3-0.5) and survival with good CPC (aOR 0.6, 95% CI 0.6-0.7). Hispanic/Latino patients had lower TTM (aOR 0.8, 95% CI 0.7-0.9), PCI (aOR 0.6, 95% CI 0.5-0.8), survival (aOR 0.8, 95% CI 0.7-0.9), and survival with good CPC (aOR 0.7, 95% CI 0.6-0.7). However, after adjusting for clustering by receiving hospital, most of the post-arrest care relationships were negated, and Black patients actually had a higher rate of TTM (aOR 1.2, 95% CI 1.1-1.3). CONCLUSIONS: Minority OHCA victims experienced disparities in post-arrest care and outcomes. However, adjusting for receiving hospital random-effect largely diminished these findings. Inter-hospital, post-arrest care disparities may exist.

Community Variations in Out-of-Hospital Cardiac Arrest Care and Outcomes in Texas.

Background: Large and unacceptable variation exists in cardiac resuscitation care and outcomes across communities. Texas is the second most populous state in the US with wide variation in community and emergency response infrastructure. We utilized the Texas-CARES registry to perform the first Texas state analysis of out-of-hospital cardiac arrest (OHCA) in Texas, evaluating for variations in incidence, care, and outcomes.Methods: We analyzed the Texas-CARES registry, including all adult, non-traumatic OHCAs from 1/1/2014 through 12/31/2018. We analyzed the incidence and characteristics of OHCA care and outcome, overall and stratified by community. Utilizing mixed models accounting for clustering by community, we characterized variations in bystander CPR, bystander AED in public locations, and survival to hospital discharge across communities, adjusting for age, gender, race, location of arrest, and rate of witnessed arrest (bystander and 911 responder witnessed).Results: There were a total of 26,847 (5,369 per year) OHCAs from 13 communities; median 2,762 per community (IQR 444-2,767, min 136, max 9161). Texas care and outcome characteristics were: bystander CPR (43.3%), bystander AED use (9.1%), survival to discharge (9.1%), and survival with good neurological outcomes (4.0%). Bystander CPR rate ranged from 19.2% to 55.0%, and there were five communities above and five below the adjusted 95% confidence interval. Bystander AED use ranged from 0% to 19.5%, and there was one community below the adjusted 95% confidence interval. Survival to hospital discharge ranged from 6.7% to 14.0%, and there were three communities above and two below the adjusted 95% confidence interval.Conclusion: While overall OHCA care and outcomes were similar in Texas compared to national averages, bystander CPR, bystander AED use, and survival varied widely across communities in Texas. These variations signal opportunities to improve OHCA care and outcomes in Texas.

Community disparities in out of hospital cardiac arrest care and outcomes in Texas.

BACKGROUND: Large racial and socioeconomic inequalities exist for out-of-hospital cardiac arrest (OHCA) care and outcomes. We sought to characterize racial, ethnic, and socioeconomic disparities in OHCA care and outcomes in Texas. METHODS: We analyzed 2014-2018 Texas-Cardiac Arrest Registry to Enhance Survival (CARES) data. Using census tracts, we defined race/ethnicity neighborhoods based on majority race/ethnicity composition: non-Hispanic/Latino white, non-Hispanic/Latino black, and Hispanic/Latino. We also stratified neighborhoods into socioeconomic categories: above and below the median for household income, employment rate, and high school graduation. We defined outcomes as bystander CPR rates, public bystander AED use, and survival to hospital discharge. Using mixed models, we analyzed the associations between outcomes and neighborhood (1) racial/ethnic categories and (2) socioeconomic categories. RESULTS: We included data on 18,488 OHCAs. Relative to white neighborhoods, black neighborhoods had lower rates of AED use (OR 0.3, CI 0.2-0.4), and Hispanic/Latino neighborhoods had lower rates of bystander CPR (OR 0.7, CI 0.6-0.8), AED use (OR 0.4, CI 0.3-0.6), and survival (OR 0.8, CI 0.7-0.8). Lower income was associated with a lower rates of bystander CPR (OR 0.8, CI 0.7-0.8), AED use (OR 0.5, CI 0.4-0.8), and survival (OR 0.9, CI 0.9-0.98). Lower high school graduation was associated with a lower rate of bystander CPR (OR 0.8, CI 0.7-0.9) and AED use (OR 0.6, CI 0.4-0.9). Higher unemployment was associated with lower rates of bystander CPR (OR 0.9, CI 0.8-0.94) and AED use (OR 0.7, CI 0.5-0.99). CONCLUSION: Minority and poor neighborhoods in Texas experience large and unacceptable disparities in OHCA bystander response and outcomes.

Transforming the delivery of care in the post-health reform era: what role will community health workers play?

The Patient Protection and Affordable Care Act (PPACA) affords opportunities to sustain the role of community health workers (CHWs). Among myriad strategies encouraged by PPACA are prevention and care coordination, particularly for chronic diseases, chief drivers of increased health care costs. Prevention and care coordination are functions that have been performed by CHWs for decades, particularly among underserved populations. The two key delivery models promoted in the PPACA are accountable care organizations and health homes. Both stress the importance of interdisciplinary, interprofessional health care teams, the ideal context for integrating CHWs. Equally important, the payment structures encouraged by PPACA to support these delivery models offer the vehicles to sustain the role of these valued workers.