Dataset Information

Neighborhood Socioeconomic Status Predicts Health After Hospitalization for Acute Coronary Syndromes: Findings From TRACE-CORE (Transitions, Risks, and Actions in Coronary Events-Center for Outcomes Research and Education).

ABSTRACT: OBJECTIVE:To explore the influence of contextual factors on health-related quality of life (HRQoL), which is sometimes used as an indicator of quality of care, we examined the association of neighborhood socioeconomic status (NSES) and trajectories of HRQoL after hospitalization for acute coronary syndromes (ACS). METHODS:We studied 1481 patients hospitalized with acute coronary syndromes in Massachusetts and Georgia querying HRQoL via the mental and physical components of the 36-item short-form health survey (SF-36) (MCS and PCS) and the physical limitations and angina-related HRQoL subscales of the Seattle Angina Questionnaire (SAQ) during hospitalization and at 1-, 3-, and 6-month postdischarge. We categorized participants by tertiles of the neighborhood deprivation index (a residence-census tract-based measure) to examine the association of NSES with trajectories of HRQoL after adjusting for individual socioeconomic status (SES) and clinical characteristics. RESULTS:Participants had mean age 61.3 (SD, 11.4) years; 33% were female; 76%, non-Hispanic white; 11.2% had household income below the federal poverty level. During 6 months postdischarge, living in lower NSES neighborhoods was associated with lower mean PCS scores (1.5 points for intermediate NSES; 1.8 for low) and SAQ scores (2.4 and 4.2 points) versus living in high NSES neighborhoods. NSES was more consequential for patients with lower individual SES. Individuals living below the federal poverty level had lower average MCS and SAQ physical scores (3.7 and 7.7 points, respectively) than those above. CONCLUSIONS:Neighborhood deprivation was associated with worse health status. Using HRQoL to assess quality of care without accounting for individual SES and NSES may unfairly penalize safety-net hospitals.

SUBMITTER: Nobel L

PROVIDER: S-EPMC5687991 | biostudies-literature | 2017 Dec

REPOSITORIES: biostudies-literature

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Neighborhood Socioeconomic Status Predicts Health After Hospitalization for Acute Coronary Syndromes: Findings From TRACE-CORE (Transitions, Risks, and Actions in Coronary Events-Center for Outcomes Research and Education).

Nobel Lisa L Jesdale William M WM Tjia Jennifer J Waring Molly E ME Parish David C DC Ash Arlene S AS Kiefe Catarina I CI Allison Jeroan J JJ

Medical care 20171201 12

<h4>Objective</h4>To explore the influence of contextual factors on health-related quality of life (HRQoL), which is sometimes used as an indicator of quality of care, we examined the association of neighborhood socioeconomic status (NSES) and trajectories of HRQoL after hospitalization for acute coronary syndromes (ACS).<h4>Methods</h4>We studied 1481 patients hospitalized with acute coronary syndromes in Massachusetts and Georgia querying HRQoL via the mental and physical components of the 36- ...[more]

PMID: 29016395

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Project description:BackgroundAcute hospitalization is a frequent reason for live discharge from hospice. Although risk factors for live discharge among hospice patients have been well documented, prior research has not examined the role of neighborhood socioeconomic characteristics, or how these characteristics relate to racial/ethnic disparities in hospice outcomes.ObjectiveTo examine associations between neighborhood socioeconomic characteristics and risk for live discharge from hospice because of acute hospitalization. The authors also explore the moderating role of race/ethnicity in any observed relationship.Research designRetrospective cohort study using electronic medical records of hospice patients (N=17,290) linked with neighborhood-level socioeconomic data (N=55 neighborhoods). Multilevel models were used to identify the independent significance of patient and neighborhood-level characteristics for risk of live discharge because of acute hospitalization.ResultsCompared with the patients in the most well-educated and affluent sections of New York City [quartile (Q)4], the odds of live discharge from hospice because of acute hospitalization were greater among patients who resided in neighborhoods where lower proportions of residents held college degrees [Q1 adjusted odds ratio (AOR), 1.36; 95% confidence interval (CI), 1.06-1.75; Q2 AOR, 1.41; 95% CI, 1.07-1.84] and median household incomes were lower (Q1 AOR, 1.42; 95% CI, 1.10-1.85; Q2 AOR, 1.43; 95% CI, 1.10-1.85; Q3 AOR, 1.39; 95% CI, 1.07-1.80). However, these observed relationships were not equally distributed by patient race/ethnicity; the association of neighborhood socioeconomic disadvantage and risk for live discharge was significantly lower among Hispanic compared with white patients.ConclusionsFindings demonstrate neighborhood socioeconomic disadvantage poses a significant risk for live discharge from hospice. Additional research is needed to clarify the social mechanisms underlying this association, including greater attention to the experiences of hospice patients from under-represented racial/ethnic groups.

Project description:BackgroundUnderstanding the relative risk of cardiovascular versus noncardiovascular death is important for designing clinical trials. These risks may differ depending on patient age, sex, and type of acute coronary syndrome (ACS).Methods and resultsIMPROVE-IT (Improved Reduction of Outcomes: Vytorin Efficacy International Trial) was a randomized controlled trial of simvastatin plus either ezetimibe or placebo following stabilized ACS. Cause of death was adjudicated by an independent committee. We compared the cumulative incidence of cardiovascular and noncardiovascular death for patients with unstable angina/non-ST-segment elevation myocardial infarction (UA/NSTEMI) and ST-segment elevation myocardial infarction (STEMI), in those <65 and ?65 years old, and males and females, over 7 years of follow-up. Of 18 131 patients, the presenting event was STEMI for 5190 (29%) and UA/NSTEMI for 12 941 (71%); 10 173 (56%) patients were <65 years old and 7971 (44%) were ?65 years old at presentation. UA/NSTEMI patients were older than STEMI patients, with more cardiovascular and noncardiovascular risk factors. In STEMI patients, the cumulative incidence of cardiovascular death was higher for ?4 years following the index event, after which noncardiovascular death predominated. In UA/NSTEMI patients, the cumulative incidence of cardiovascular death remained higher than noncardiovascular death over the full follow-up period. Patients ?65 years old and <65 years old had a higher incidence of cardiovascular death than noncardiovascular death over the entirety of follow-up. Female patients had a higher incidence of cardiovascular death than noncardiovascular death for ?6 years following the index event; male patients had a higher incidence of cardiovascular death than noncardiovascular death over the entirety of follow-up.ConclusionsAmong post-ACS patients enrolled in a long-term clinical trial, the relative incidence of cardiovascular and noncardiovascular death differed based on type of ACS presentation and sex, but not age. These findings further delineate long-term prognosis after ACS and should inform the design of future cardiovascular outcomes trials.

Project description:BackgroundPatients with acute coronary syndromes often experience non-specific (generic) pain after hospital discharge. However, evidence about the association between post-discharge non-specific pain and rehospitalization remains limited.MethodsWe analyzed data from the Transitions, Risks, and Actions in Coronary Events Center for Outcomes Research and Education (TRACE-CORE) prospective cohort. TRACE-CORE followed patients with acute coronary syndromes for 24 months post-discharge from the index hospitalization, collected patient-reported generic pain (using SF-36) and chest pain (using the Seattle Angina Questionnaire) and rehospitalization events. We assessed the association between generic pain and 30-day rehospitalization using multivariable logistic regression (N = 787). We also examined the associations among patient-reported pain, pain documentation identified by natural language processing (NLP) from electronic health record (EHR) notes, and the outcome.ResultsPatients were 62 years old (SD = 11.4), with 5.1% Black or Hispanic individuals and 29.9% women. Within 30 days post-discharge, 87 (11.1%) patients were re-hospitalized. Patient-reported mild-to-moderate pain, without EHR documentation, was associated with 30-day rehospitalization (odds ratio [OR]: 2.03, 95% confidence interval [CI]: 1.14-3.62, reference: no pain) after adjusting for baseline characteristics; while patient-reported mild-to-moderate pain with EHR documentation (presumably addressed) was not (OR: 1.23, 95% CI: 0.52-2.90). Severe pain was also associated with 30-day rehospitalization (OR: 3.16, 95% CI: 1.32-7.54), even after further adjusting for chest pain (OR: 2.59, 95% CI: 1.06-6.35).ConclusionsPatient-reported post-discharge generic pain was positively associated with 30-day rehospitalization. Future studies should further disentangle the impact of cardiac and non-cardiac pain on rehospitalization and develop strategies to support the timely management of post-discharge pain by healthcare providers.

Project description:ImportanceDespite complexities of racial and ethnic residential segregation (hereinafter referred to as segregation) and neighborhood socioeconomic deprivation, public health studies, including those on COVID-19 racial and ethnic disparities, often rely on composite neighborhood indices that do not account for residential segregation.ObjectiveTo examine the associations by race and ethnicity among California's Healthy Places Index (HPI), Black and Hispanic segregation, Social Vulnerability Index (SVI), and COVID-19-related hospitalization.Design, setting, and participantsThis cohort study included veterans with positive test results for COVID-19 living in California who used Veterans Health Administration services between March 1, 2020, and October 31, 2021.Main outcomes and measuresRates of COVID-19-related hospitalization among veterans with COVID-19.ResultsThe sample available for analysis included 19 495 veterans with COVID-19 (mean [SD] age, 57.21 [17.68] years), of whom 91.0% were men, 27.7% were Hispanic, 16.1% were non-Hispanic Black, and 45.0% were non-Hispanic White. For Black veterans, living in lower-HPI (ie, less healthy) neighborhoods was associated with higher rates of hospitalization (odds ratio [OR], 1.07 [95% CI, 1.03-1.12]), even after accounting for Black segregation (OR, 1.06 [95% CI, 1.02-1.11]). Among Hispanic veterans, living in lower-HPI neighborhoods was not associated with hospitalization with (OR, 1.04 [95% CI, 0.99-1.09]) and without (OR, 1.03 [95% CI, 1.00-1.08]) Hispanic segregation adjustment. For non-Hispanic White veterans, lower HPI was associated with more frequent hospitalization (OR, 1.03 [95% CI, 1.00-1.06]). The HPI was no longer associated with hospitalization after accounting for Black (OR, 1.02 [95% CI, 0.99-1.05]) or Hispanic (OR, 0.98 [95% CI, 0.95-1.02]) segregation. Hospitalization was higher for White (OR, 4.42 [95% CI, 1.62-12.08]) and Hispanic (OR, 2.90 [95% CI, 1.02-8.23]) veterans living in neighborhoods with greater Black segregation and for White veterans in more Hispanic-segregated neighborhoods (OR, 2.81 [95% CI, 1.96-4.03]), adjusting for HPI. Living in higher SVI (ie, more vulnerable) neighborhoods was associated with greater hospitalization for Black (OR, 1.06 [95% CI, 1.02-1.10]) and non-Hispanic White (OR, 1.04 [95% CI, 1.01-1.06]) veterans.Conclusions and relevanceIn this cohort study of US veterans with COVID-19, HPI captured neighborhood-level risk for COVID-19-related hospitalization for Black, Hispanic, and White veterans comparably with SVI. These findings have implications for the use of HPI and other composite neighborhood deprivation indices that do not explicitly account for segregation. Understanding associations between place and health requires ensuring composite measures accurately account for multiple aspects of neighborhood deprivation and, importantly, variation by race and ethnicity.

Dataset Information

Neighborhood Socioeconomic Status Predicts Health After Hospitalization for Acute Coronary Syndromes: Findings From TRACE-CORE (Transitions, Risks, and Actions in Coronary Events-Center for Outcomes Research and Education).

Publications

Neighborhood Socioeconomic Status Predicts Health After Hospitalization for Acute Coronary Syndromes: Findings From TRACE-CORE (Transitions, Risks, and Actions in Coronary Events-Center for Outcomes Research and Education).

Similar Datasets

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