Abstract
Background
Social determinants of health (SDOH) are associated with a variety of health outcomes, yet their relation to emergency department (ED) visits among individuals with coronary heart disease (CHD) or stroke is unclear.
Methods
We performed a cross-sectional analysis of the 2010-2018 National Health Interview Survey, examining ED visits among individuals who self-reported CHD or stroke diagnosis. The outcome was defined as reporting ≥1 ED visit in the previous 12 months vs none. The SDOH examined were race, employment status, poverty, insurance status, marital status, and educational status.
Results
We included N=14,925 participants with a diagnosis of CHD or stroke. The mean (±SD) age was 68 (±.14) years. After adjusting for age and sex, non-Hispanic Blacks were more likely (adjusted odds ratio [AOR]: 1.29; 95%CI: 1.15-1.44) to report having ≥1 ED visits than Whites. Compared with Whites, Asians had lower odds of having ≥1 ED visit in the previous 12 months (AOR: .63, 95%CI: .49-.82). Those who were unmarried (AOR: 1.21, 95%CI: 1.12 – 1.31), unemployed (AOR: 1.53, 95%CI: 1.36- 1.72) and had a poverty income ratio of <1 (AOR: 1.47, 95%CI: 1.31-1.67) had higher odds of having ≥1 ED visits.
Conclusion
Being Black, unmarried, unemployed, and having lower income levels were associated with a higher likelihood of having ≥1 ED visits in the prior 12 months among individuals with a CHD or stroke diagnosis. SDOH should be considered when developing systematic interventions to prevent costly ED visits.
Keywords: Coronary Heart Disease, Stroke, Social Determinants of Health, Emergency Department
Introduction
More than 120 million Americans have been diagnosed with some form of cardiovascular disease, including coronary heart disease (CHD), hypertension, heart failure, and stroke.1 By 2035, more than 130 million adults are projected to have some form of cardiovascular disease, and health care costs are expected to exceed $1 trillion.1,2 CHD and stroke are the first and second leading causes of death attributable to cardiovascular disease in the United States, affecting approximately 18.2 million and 7 million Americans, respectively.1 Stroke is the leading cause of serious long-term disability.1
Persons with CHD or stroke demonstrate a high frequency of emergency departments (ED) visits to manage acute and chronic symptoms. CHD and stroke-related ED visits contribute to an estimated $9.4 billion annual costs in the United States.2 Frequent ED revisits may reflect disease progression and poorly controlled chronic conditions.3,4 Also important, EDs serve as a safety-net for health care access among those who are medically or socially unstable.3,5 Indeed, ED revisits are often attributed to a lack of access to follow-up care, no access to a primary medical home, premature hospital discharge, and lack of social support.4,6-8 Currently, EDs provide one-third of all acute care for more than 139 million Americans annually.9,10
Social determinants of health (SDOH) are defined as the conditions in which people are born live, work, learn, and age that affect their health risks and outcomes.5,11-13 SDOH also encompasses the intersectionality of social, economic, and environmental factors that include race, ethnicity, education, employment, social support, culture, and health care access.12,13 The ED often serves as the first line of care for population health, especially among those with low socioeconomic status and those who are less likely to access primary care.3,5,9
SDOH are associated with a variety of outcomes such as increased health risks, higher disease burden, and shorter life expectancy.12 SDOH influences many health outcomes.12,14 However, chronic conditions such as CHD and stroke require higher demands for self-management.15,16 Effective management of these conditions requires health insurance and sufficient resources to access care, and doctor’s appointments to promote positive health outcomes. SDOH such as poverty and poor health care access often serve as barriers to self-management of these chronic conditions.12 The American Heart Association and American Colleges of Cardiology (AHA/ACC) emphasize the importance of addressing SDOH in the management of cardiovascular conditions.11,12 Death and disability are more prominent among those who have heightened social needs, underscoring the need for understanding the role that social determinants play in health outcomes for individuals with CHD or stroke.12,14
Despite the important role of the ED among those with low socioeconomic status, how SDOH are associated with ED visits in the context of CHD or stroke is unclear. The objective of this study was to examine the SDOH that are associated with ED visits among patients with CHD or stroke.
Methods
Study Design and Data Source
We performed a cross-sectional analysis of the 2010-2018 National Health Interview Survey (NHIS), a principal source of information on the health status of non-institutionalized adults who are aged ≥18years in the United States.17,18 NHIS is one of the major data collection programs for the National Center for Health Statistics (NCHS), and the Centers for Disease Control and Prevention.17,18 Data from the NHIS are reported in the aggregate, providing estimates of health indicators, health care utilization and access and health care behaviors. Data used in this study were publicly available from the NCHS and de-identified and therefore did not require ethical approval from an institutional review board.
Participants
We included 14,925 individuals aged ≥ 18 years who reported a prior history of CHD or stroke. CHD history was defined as a positive response to the question, “Have you ever been told by a doctor or other health professional that you had ... coronary heart disease?” Stroke history was defined as positive response to the question: “Have you ever been told by a doctor or other health professional that you had ...a stroke?” Participants who were aged <18 years and those missing data on ED visits (n=324) were excluded.
Outcomes
The main outcome of this study was at least one ED visit in the previous 12 months and was ascertained with the question: “During the past 12 months, how many times have you gone to a hospital emergency room about your own health? (This includes emergency room visits that resulted in a hospital admission).” Responses were dichotomized as ≥1 or none.
Social Determinants of Health
The SDOH examined were race, employment status, poverty, insurance status, marital status, and educational status.12,13 We examined these variables as dichotomous: marital status (currently married/not married); employment status (employed/not employed); and insurance status (insured/not insured). We examined educational status in the following categories: ≤ high school, some college, and ≥ Bachelor’s degree. We examined poverty income ratio (PIR) as a proxy for income status. The PIR, the ratio of income to poverty, was obtained by dividing the midpoint of an individual’s family income by the poverty threshold for that respective year. The PIR was categorized as follows: <1, 1 to 1.99, and ≥2. A PIR of <1 means that an individual is below the federal poverty level, a person with a PIR between 1 and 1.99 is between 100% and 200% above the poverty level, and PIR ≥2 means that a person is 200% or more above the poverty level. Participant’s perceived heath status was categorized as “excellent,” “very good,” “good,” “fair,” or “poor.” Covariates examined were age (continuous) in years, and sex (male/female).
Statistical Analyses
We pooled nine years of data (2010-2018) to improve the reliability of our estimates. Sampling weights were applied per NCHS guidelines19 to account for the complex sampling strategy. Descriptive statistics were used to examine differences in sociodemographic characteristics between participants who had no visits and those who had ≥1 ED visits. We used survey-weighted t-tests and chi-square tests to examine differences in continuous and categorical variables, respectively.
We used survey-weighted logistic regression to examine the relationship between SDOH characteristics and ED visits for any reason within the previous 12 months among participants with CHD or stroke. Females, non-Hispanic Whites, ≤ high school, PIR<1, unemployed, and not insured were used as a reference for both models. Model 1 included race/ethnicity, education, employment status, income, insurance status, and marital status and was unadjusted. We adjusted for age and sex in Model 2. Statistical significance was determined with a two-sided α<.05. All analyses were performed using the Stata© 16.1 SE statistical software.20
Results
Sociodemographic Characteristics
We included 14,925 participants with CHD or stroke, and 40% (5,968) had ≥1 ED visit in the last 12 months. The mean age for those who had ≥1 ED visit was 67.5 (±.12) years and 47% were female. A higher proportion of participants with CHD or stroke (with ≥1 ED visit) were non-Hispanic White (75%), had ≤ high school education (51%), and unemployed (74%). Details of the sociodemographic characteristics are found in Table 1.
Table 1. Sociodemographic characteristics of participants diagnosed with CHD or stroke by number of ED visitsa.
Characteristics (%) | Total visits | No ED visits | ≥1 ED visits | P |
Weighted, n | 5,433,291 | 3,284,442 | 3,284,442 | |
Unweighted, n | 14,925 | 8,957 | 5,968 | |
Age (±SD) | 67.5 (±0.12) | 67.96 (±0.15) | 66.96 (±0.18) | <.001 |
Sex | <.001 | |||
Female | 46.97 | 43.77 | 51.86 | |
Male | 53.03 | 56.23 | 48.14 | |
Marital status | <.001 | |||
Not married | 58.39 | 54.81 | 63.87 | |
Race/ethnicity | <.001 | |||
Non-Hispanic White | 75.19 | 77.29 | 71.97 | |
Hispanic | 8.32 | 7.95 | 8.89 | |
Non-Hispanic Black | 12.83 | 10.73 | 16.03 | |
Non-Hispanic Asian | 2.59 | 3.01 | 1.93 | |
Other races | 1.08 | 1.02 | 1.18 | |
Education | <.001 | |||
≥ Bachelor’s degree | 21.04 | 23.20 | 17.74 | |
Some college | 28.29 | 27.48 | 29.53 | |
≤ High school | 50.67 | 49.32 | 52.73 | |
Poverty-income ratio (PIR) | <.001 | |||
PIR ≥ 2.00 | 56.03 | 60.59 | 49.06 | |
PIR 1-1.99 | 25.93 | 24.56 | 28.02 | |
PIR <1 | 18.04 | 14.86 | 22.91 | |
Employment status | <.001 | |||
Unemployed | 74.24 | 71.74 | 78.08 | |
Health insurance status | .29 | |||
Not insured | 4.69 | 4.54 | 4.91 | |
Perceived health status | <.001 | |||
Excellent | 5.39 | 6.75 | 3.32 | |
Very Good | 18.06 | 21.68 | 12.54 | |
Good | 33.27 | 36.44 | 28.43 | |
Fair | 29.24 | 26.04 | 34.14 | |
Poor | 14.03 | 9.09 | 21.57 |
SD, standard deviation; ED, emergency department; PIR <1 = below poverty level; PIR 1-1.99=between 100%-200% above poverty level; PIR ≥2= >200% above poverty level.
a. Weighted sample demographic characteristics presented.
Social Determinants Associated with ED Visits Among Those with CHD or Stroke
Unadjusted and adjusted logistic regression models for the associations between SDOH and ≥1 ED visits are presented in Table 2. The unadjusted model showed the likelihood of having ≥1 ED visits was higher among Blacks and those who were unmarried, had a PIR<1, less than high school and some college education, and were unemployed. Similarly, after adjusting for age and sex, those who were Black, female, unmarried, had a PIR <1, and less than high school education, had higher odds of having ≥1 ED visits within the previous 12 months. Additionally, the age and sex-adjusted models showed that Asians had the lowest odds of having ≥1 ED visits among all the racial/ethnic groups. A sensitivity analysis was performed to examine variation across regions; there were no significant differences in CHD or stroke ED visits across the four United States regions (North, Midwest, South and West).
Table 2. Logistic regression analyses of the associations between social determinants of health and having ≥1 ED visit in the prior 12 months among persons with CHD or stroke (N=14,925).
Model 1a | Model 2b | |
OR (95% CI) | OR (95% CI) | |
CHD/Stroke with ≥1 ED visit | .94 (.75 – 1.16) | 1.55 (1.24-2.23)c |
Age | - | .99 (.99- .99)c |
Sex | ||
Female | - | Ref |
Male | - | .82 (.77 – .87)c |
Married | ||
Currently married | Ref | Ref |
Not married | 1.23 (1.14–1.32)c | 1.20 (1.11–1.28)c |
Race/ethnicity | ||
Non-Hispanic White | Ref | Ref |
Hispanic | 1.07 (.95–1.19) | 1.03 (.92–1.16) |
Non-Hispanic Black | 1.38 (1.26–1.51)c | 1.32 (1.20–1.44)c |
Non-Hispanic Asian | .68 (.55–.83)c | .67 (.54–.82)c |
Non-Hispanic Other | 1.13 (0.84–1.51) | 1.08 (.81–1.45) |
Education | ||
≥ Bachelor’s degree | Ref | Ref |
Some college | 1.24 (1.13–1.35)c | 1.19 (1.09–1.31)c |
≤ High school | 1.10 (1.01–1.20)c | 1.09 (1.00–1.18) |
Poverty income ratio | ||
PIR ≥200% | Ref | Ref |
PIR 1-1.99% | 1.23 (1.14–1.34)c | 1.20 (1.11–1.31)c |
PIR <1 | 1.57 (1.44–1.72)c | 1.46 (1.33–1.60)c |
Employment status | ||
Employed | Ref | Ref |
Unemployed | 1.24 (1.14–1.34)c | 1.35 (1.23–1.47)c |
Health insurance status | ||
Insured | Ref | Ref |
Not insured | 1.00 (.86–1.17) | .93 (.79–1.09) |
a. Model 1: Unadjusted
b. Model 2: adjusted for age and sex.
c. Denotes statistical significance (P<.05)
SD, standard deviation; ED, emergency department; PIR <1 = below poverty level; PIR 1-1.99=between 100%-200% above poverty level; PIR ≥2= >200% above poverty level. Results are weighted.
Discussion
In this study, we examined the SDOH that are associated with ED visit frequency among patients with coronary heart disease or stroke. Findings from this study indicate that being Black, having low-income, being unemployed, having a high school diploma or less, and being unmarried were associated with a higher likelihood of ≥1 ED visits for any reason in the prior 12 months among individuals with a CHD or stroke diagnosis. To our knowledge, there are currently no published studies examining the association of SDOH with ED visits among individuals with CHD or stroke. However, there is an abundance of literature examining the influence of SDOH on CVD risk and health outcomes among racial/ethnic groups.
Previous studies reporting trends in ED visits examined associations between race/ethnicity and neighborhood characteristics, socioeconomic status (SES), insured status, and patterns of ED use.4,8,21 A study by Kangovi et al used qualitative analysis to identify patterns of high-frequency ED use among patients with low socioeconomic status with chronic conditions including myocardial, infectious, gastrointestinal, neurological, and pulmonary diseases.4 Themes identified for increased ED visits within the prior six months were food insecurity, lack of insurance, caregiver burden, family dysfunction, and trauma.4 These social conditions were identified in 90% of participants who were African American.4 A previous cross-sectional study using the National Hospital Medical Ambulatory Care Survey examined ED visit rates for patients with diagnoses of pneumonia, congestive heart failure, angina, perforated appendix, and other non-CVD related acute and chronic conditions. Researchers of this study observed a higher ED use among non-Hispanic White persons and those without health insurance.7 Although in our study we observed the highest ED utilization among non-Hispanic Whites, our results showed that ED visits (none vs ≥1) were the same for those who were insured vs uninsured. Consistent with our findings, a previous NHIS (2013-2014) analysis examining non-Hispanic Black persons showed higher odds of ED visits (within the previous 12 months) and those who did not have health insurance, but not significantly different from those who were insured.8 Furthermore, those who had more than one ED visit within the previous 12 months were more likely to be female.7,8
It is well-established in the literature that ethnic minority populations and socially at-risk groups are more likely to use the ED more frequently.4,13,21 Furthermore, previous studies show that persons of racial and ethnic minority backgrounds with low-income are twice as likely to use the ED for non-urgent visits than those who are White with high socioeconomic status.4,21 Ethnic minority populations carry a substantial burden of CHD or stroke and often use the EDs in urban safety-net hospitals more frequently to manage these chronic conditions.21 There are considerable health disparities among non-Hispanic Blacks regarding CHD or stroke.22 Our study adds to the compelling evidence that health disparities among Blacks are associated with SDOH such as low-income, neighborhood characteristics, education levels, and employment status.4,22
Study Limitations and Strengths
There are limitations to this study. First, we employed a cross-sectional design that hampers our ability to make any causal inferences about the association between SDOH and ED visits. Second, CHD and stroke diagnoses were self-reported. Thus, it is possible this study may underestimate the prevalence of CHD or stroke due to recall bias and lower health care access including lack of health insurance coverage and poor health care utilization. Furthermore, there is a chance of information bias related to the number of ED visits reported. A strength of this study includes the use of a relatively large sample from a nationally represented dataset, contributing to the generalizability of results. To our knowledge, this is the first study of this type to make associations between SDOH and ED visits for individuals with CHD or stroke, adding new knowledge about the characteristics of those who are more likely to visit the ED more than once in a 12-month period.
Conclusion
Social determinants of health were associated with at least one ED visit for those with CHD or stroke, specifically among Blacks, and those with low-income, less education, or were unemployed and unmarried. Reduction of cardiovascular health inequities requires social and medical interventions addressing the SDOH that serve as barriers to achieving optimal health access and care among these socially at-risk populations. SDOH should be considered when developing systematic interventions to prevent costly ED visits for those with CHD or stroke. Further investigation is necessary to explore the influence of behavioral and environmental factors such as medication adherence, occupational hazards, access to transportation, and neighborhood characteristics on the number of ED visits among people with CHD or stroke.
Acknowledgments
Dr. Turkson-Ocran is supported by the Strategically Focused Research Network Award from the American Heart Association: 17SFRN33590069. Dr. Himmelfarb is supported by the National Institutes for Health/National Institute for Nursing Research, P30NR018093, Hopkins Center to Promote resilience in persons and families living with multiple chronic conditions Dr. Commodore-Mensah is supported by the Johns Hopkins Institute of Clinical and Translational Research through a grant from the National Center for Advancing Translational Sciences of the National Institutes of Health under award number: 5KL2TR001077-05.
References
- 1.Benjamin EJ, Muntner P, Alonso A, et al. ; American Heart Association Council on Epidemiology and Prevention Statistics Committee and Stroke Statistics Subcommittee . heart disease and stroke statistics-2019 update: a report from the American Heart Association. Circulation. 2019;139(10):e56-e528. 10.1161/CIR.0000000000000659 [DOI] [PubMed] [Google Scholar]
- 2.Virani SS, Alonso A, Benjamin EJ, et al. ; American Heart Association Council on Epidemiology and Prevention Statistics Committee and Stroke Statistics Subcommittee . heart disease and stroke statistics-2020 update: a report from the American Heart Association. Circulation. 2020;141(9):e139-e596. 10.1161/CIR.0000000000000757 [DOI] [PubMed] [Google Scholar]
- 3.Moe J, Kirkland SW, Rawe E, et al. Effectiveness of interventions to decrease emergency department visits by adult frequent users: a systematic review. Acad Emerg Med. 2017;24(1):40-52. 10.1111/acem.13060 10.1111/acem.13060 [DOI] [PubMed] [Google Scholar]
- 4.Kangovi S, Barg FK, Carter T, Long JA, Shannon R, Grande D. Understanding why patients of low socioeconomic status prefer hospitals over ambulatory care. Health Aff (Millwood). 2013;32(7):1196-1203. 10.1377/hlthaff.2012.0825 [DOI] [PubMed] [Google Scholar]
- 5.Anderson ES, Lippert S, Newberry J, Bernstein E, Alter HJ, Wang NE. Addressing social determinants of health from the emergency department through social emergency medicine. West J Emerg Med. 2016;17(4):487-489. 10.5811/westjem.2016.5.30240 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6.Hutchinson CL, McCloughen A, Curtis K. Incidence, characteristics and outcomes of patients that return to emergency departments. An integrative review. Australas Emerg Care. 2019;22(1):47-68. https://doi.org/ 10.1016/j. auec.2018.12.003 PMID:30998872 [DOI] [PubMed]
- 7.Greenwood-Ericksen MB, Kocher K. Trends in emergency department use by rural and urban populations in the United States. JAMA Netw Open. 2019;2(4):e191919. 10.1001/jamanetworkopen.2019.1919 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8.Gindi RM, Black LI, Cohen RA. Reasons for emergency room use among U.S. adults aged 18-64: National Health Interview Survey, 2013 and 2014. Natl Health Stat Report. 2016;(90):1-16. [PubMed] [Google Scholar]
- 9.Griffey RT, Schneider RM, Todorov AA Adverse Events Present on Arrival to the Emergency Department: The ED as a Dual Safety Net. Jt Comm J Qual Patient Saf. 2020;46(4):192-198. https://doi.org/ 10.1016/j. jcjq.2019.12.003 PMID:32007399 [DOI] [PubMed]
- 10.National Center for Health Statistics Heart Disease. Emergency Department Visits. Last accessed November 12, 2020 from https://www.cdc.gov/nchs/fastats/heart-disease.htm.
- 11.Arnett DK, Blumenthal RS, Albert MA, et al. 2019 ACC/AHA Guideline on the Primary Prevention of Cardiovascular Disease: A Report of the American College of Cardiology/American Heart Association Task Force on Clinical Practice Guidelines. Circulation. 2019;140(11):e596-e646. 10.1161/CIR.0000000000000678 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12.Havranek EP, Mujahid MS, Barr DA, et al. ; American Heart Association Council on Quality of Care and Outcomes Research, Council on Epidemiology and Prevention, Council on Cardiovascular and Stroke Nursing, Council on Lifestyle and Cardiometabolic Health, and Stroke Council . Social determinants of risk and outcomes for cardiovascular disease: a scientific statement from the American Heart Association. Circulation. 2015;132(9):873-898. 10.1161/CIR.0000000000000228 10.1161/CIR.0000000000000228 [DOI] [PubMed] [Google Scholar]
- 13.Schultz WM, Kelli HM, Lisko JC, et al. Socioeconomic status and cardiovascular outcomes: challenges and interventions. Circulation. 2018;137(20):2166-2178. 10.1161/CIRCULATIONAHA.117.029652 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14.Kreatsoulas C, Anand SS. The impact of social determinants on cardiovascular disease. The Canadian J Cardiol. 2010;26(Suppl C):8C-13C. https://doi.org/ 10.1016/S0828-282X(10)71075-8 10.1016/S0828-282X(10)71075-8 [DOI] [PMC free article] [PubMed]
- 15.Riegel B, Moser DK, Buck HG, et al. ; American Heart Association Council on Cardiovascular and Stroke Nursing; Council on Peripheral Vascular Disease; and Council on Quality of Care and Outcomes Research . Council on Peripheral Vascular Disease; and Council on Quality of Care and Outcomes Research. Self-care for the prevention and management of cardiovascular disease and stroke: a scientific statement for healthcare professionals from the American Heart Association. J Am Heart Assoc. 2017;6(9):e006997. 10.1161/JAHA.117.006997 10.1161/JAHA.117.006997 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16.Barnason S, White-Williams C, Rossi LP, et al. ; American Heart Association Council on Cardiovascular and Stroke Nursing; Council on Cardiovascular Disease in the Young; Council on Clinical Cardiology; and Stroke Council . Council on Cardiovascular Disease in the Young; Council on Clinical Cardiology; and Stroke Council. Evidence for therapeutic patient education interventions to promote cardiovascular patient self-management: a scientific statement for healthcare professionals from the American Heart Association. Circ Cardiovasc Qual Outcomes. 2017;10(6):e000025. 10.1161/HCQ.0000000000000025 [DOI] [PubMed] [Google Scholar]
- 17.Parsons VL, Moriarity C, Jonas K, Moore TF, Davis KE, Tompkins L. Design and estimation for the national health interview survey, 2006-2015. Vital Health Stat 2. 2014;(165):1-53. [PubMed] [Google Scholar]
- 18.Centers for Disease Control and Prevention, National Center for Health Statistics National Health Interview Survey. 2020. Last accessed November 12, 2020 from https://www.cdc.gov/nchs/nhis/index.htm?CDC_ AA_refVal=https%3A%2F%2Fwww.cdc. gov%2Fnchs%2Fnhis.htm.
- 19.Ingram DD, Malec DJ, Makuc DM, et al. National Center for Health Statistics Guidelines for Analysis of Trends. Vital Health Stat 2. 2018;(179):1-71. [PubMed] [Google Scholar]
- 20.StataCorp Stata Statistical Software. Release 16 ed. College Station, TX: StataCorp LLC.; 2019. [Google Scholar]
- 21.Vest JR, Ben-Assuli O. Prediction of emergency department revisits using area-level social determinants of health measures and health information exchange information. Int J Med Inform. 2019;129:205-210. 10.1016/j.ijmedinf.2019.06.013 [DOI] [PubMed] [Google Scholar]
- 22.Puckrein GA, Egan BM, Howard G. Social and medical determinants of cardiometabolic health: the big picture. Ethn Dis. 2015;25(4):521-524. 10.18865/ed.25.4.521 [DOI] [PMC free article] [PubMed] [Google Scholar]