Journal of hypertension · 2022
Disparity in hospital admissions and length of stay based on income status for emergency department hypertensive crisis visits.
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Srivastava Shreya, Vemulapalli Bhargav, Okoh Alexis K, Kassotis John
Аннотация
OBJECTIVE: Racial, gender, and socioeconomic status have been shown to impact the delivery of care. How this impacts the management of hypertensive crisis remains unclear. We aim to identify disparities on admission frequency and length of stay (LOS) among those presenting with hypertensive crisis, as a function of household income.
METHODS: This is a cross-sectional analysis of 2016 emergency department visits and supplemental inpatient data from the Nationwide Emergency Department Sample. Median household income quartiles were established. A multivariable logistic regression model was used to estimate odds of admission in each income quartile. A multivariable linear regression model was used to predict LOS.
RESULTS: After applying sample weighting, the total number of emergency department visits was 33 727 with 6906, 25 443, and 1378 visits for hypertensive emergency, hypertensive urgency, and unspecified crisis, respectively. There were 13 191, 8889, 6400, 5247 visits in the (first) lowest, second, third , and fourth (highest) income quartiles, respectively. The median age for the study population was 60. The most common comorbidity was chronic kidney disease. Individuals with the highest income, had a lower likelihood of admission, compared with the lowest quartile (adjusted odds ratio: 0.41, 95% CI 0.22-0.74). There was a significant association between income quartile and LOS among hypertensive emergency patients (beta coefficient: 0.407, P value = 0.019).
CONCLUSION: In this study, patients with lower income were more likely to be admitted, whereas those with higher income exhibited a longer LOS. Clinicians must be made aware these disparities to ensure equitable delivery of care.
METHODS: This is a cross-sectional analysis of 2016 emergency department visits and supplemental inpatient data from the Nationwide Emergency Department Sample. Median household income quartiles were established. A multivariable logistic regression model was used to estimate odds of admission in each income quartile. A multivariable linear regression model was used to predict LOS.
RESULTS: After applying sample weighting, the total number of emergency department visits was 33 727 with 6906, 25 443, and 1378 visits for hypertensive emergency, hypertensive urgency, and unspecified crisis, respectively. There were 13 191, 8889, 6400, 5247 visits in the (first) lowest, second, third , and fourth (highest) income quartiles, respectively. The median age for the study population was 60. The most common comorbidity was chronic kidney disease. Individuals with the highest income, had a lower likelihood of admission, compared with the lowest quartile (adjusted odds ratio: 0.41, 95% CI 0.22-0.74). There was a significant association between income quartile and LOS among hypertensive emergency patients (beta coefficient: 0.407, P value = 0.019).
CONCLUSION: In this study, patients with lower income were more likely to be admitted, whereas those with higher income exhibited a longer LOS. Clinicians must be made aware these disparities to ensure equitable delivery of care.