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. Author manuscript; available in PMC: 2025 Jul 1.
Published in final edited form as: J Asthma. 2024 Jan 19;61(7):717–724. doi: 10.1080/02770903.2024.2303753

Factors associated with emergency department visits for asthma resulting in hospital admission— United States, 2020

Xiaoting Qin 1, Cynthia A Pate 1,*, Hatice S Zahran 1
PMCID: PMC11166518  NIHMSID: NIHMS1957588  PMID: 38193801

Abstract

Objective

To identify risk factors associated with hospital admission following an ED visit for asthma at the time of discharge among U.S. children and adults.

Methods

Asthma emergency department visits resulting in hospital admissions using discharge data among children (aged 0–17 years) and adults (aged 18 years or older) from the 2020 Nationwide Emergency Department Sample (NEDS), Healthcare Cost and Utilization Project (HCUP), Agency for Healthcare Research and Quality were examined. Risk factors associated with hospital admission following ED visits were identified using univariable and multi-variable logistic regression models.

Results

Among children, hospital admission after asthma-related ED visits was higher for females, ages less than 12 years, and discharged in January–March or in October–December and lower for Black children, Hispanic children, Medicaid or Medicare beneficiaries, other/no charge/self-pay, and in metropolitan non-teaching or non-metropolitan hospitals. Among adults, asthma ED visits resulting in hospital admissions were higher for females, ages 35 years or older, discharged in January–March, and for Medicare beneficiaries and lower for Black adults, Hispanic adults, adults of other races, other/no charge/self-pay, in metropolitan non-teaching or non-metropolitan hospitals, and median household income quartiles for patient’s ZIP Code of less than $59,000 were lower.

Conclusions

Sociodemographic factors, healthcare use, and household income were significantly associated with hospital admissions at the time of discharge from the ED. Examining hospital admission after an ED visit for asthma is important in identifying these groups and better addressing their healthcare needs.

Keywords: Healthcare use, respiratory diseases, disparities, children, adults

Introduction

Persons with asthma who might be unaware of asthma triggers, and do not recognize worsening asthma symptoms for early interventions, may experience acute asthma exacerbations requiring the patient to seek immediate care at the emergency department.1 Also, uninsured and underinsured patients are less likely to have a primary care physician or primary care home.2 Among these patients, the ED may be the only source for their asthma care.3 In 2022, about 4.0% of U.S. children (including children with asthma) under age 18 years and 12.0% of U.S. adults aged 18–64 years were uninsured at the time of interview.4

The disposition of patients who are discharged from the ED, depends on the patients’ specific medical condition(s) and needs. In 2020, the majority of ED visits (78%) were treated and released (i.e., routine discharge), but others had different dispositions. Specifically, some ED visits resulted in hospital admission (16%), and some patients were transferred to another short-term hospital or to other facilities (e.g., skilled nursing facility, intermediate care, court/law enforcement, or other types of facilities), or died in the ED.5,6

Existing literature is limited on contributing factors to hospital admission following ED visits. The objective of this study is to assess characteristics of asthma-related ED visits to identify factors contributing to hospital admission after an ED visit among U.S. children and adults. In this study emergency department visits for asthma that resulted in hospital admissions (i.e., patient being admitted to the same hospital or transferred to another short-term hospital) using discharge data elements from the 2020 Nationwide Emergency Department Sample (NEDS), Healthcare Cost and Utilization Project (HCUP), Agency for Healthcare Research and Quality were examined. Assessing the risk factors associated with hospital admission after an ED visit for asthma is important in identifying affected subpopulations to better serve their healthcare needs.

Methods

Data and variable description

The study examined dispositions of patients with asthma diagnosis from the ED and ED visits for asthma that resulted in a hospital admission using discharge data elements from the 2020 Nationwide Emergency Department Sample (NEDS), Healthcare Cost and Utilization Project (HCUP), Agency for Healthcare Research and Quality.7 NEDS is one of the Healthcare Cost and Utilization Project (HCUP)’s healthcare databases. HCUP was developed through a federal, state, and industry partnership and sponsored by the Agency for Healthcare Research and Quality (AHRQ). The Nationwide Emergency Department Sample (NEDS) is a large all-payer emergency department database in the United States, yielding national estimates of hospital-owned ED visits. The NEDS contains unweighted data from over 28 million ED visits each year and weighted estimates of approximately 123 million ED visits. The database tracks information about ED visits across the country, which includes geographic areas, hospital and patient characteristics, and nature of visits (e.g., common reasons for ED visits including acute conditions, chronic conditions, and injuries).6 The NEDS is sampled from the U.S. hospital-owned emergency departments with data in the HCUP State Emergency Department Databases (SEDD) and the State Inpatient Databases (SID). The NEDS is a stratified probability sample of a set of hospital owned EDs. Sampling probabilities were calculated to a select 20 percent of the universe contained in each stratum, which was defined by region, trauma designation, urban-rural location, teaching status, and hospital ownership or control. For additional information regarding NEDS, see https://www.hcup-us.ahrq.gov/db/nation/neds/nedsdbdocumentation.jsp.

We analyzed ED visits for asthma that resulted in hospital admissions either to the same hospital where the ED is located or transferred to another short-term hospital. We also analyzed other dispositions of patients with asthma at discharge from the ED, and by race and ethnicity for routine discharge versus admitted to a hospital. An asthma ED visit was defined as an ED visit with asthma as the primary diagnosis (ICD-10-CM diagnosis code of J45). Select characteristics of ED visits among U.S. children (under age 18 years) and adults (aged 18 years or older) were examined. Those characteristics included sex (male, female), children (ages 0–17 years) vs. adults (ages ≥18 years), age group (0–2, 3–5, 6–11, 12–17, 18–34, 35–54, 55–64, and ≥65 years), and race and ethnicity (White, Black, Other race, and Hispanic or Latino persons). The “Other race” group includes Asian or Pacific Islander, Native American, and persons of other races.6 We also considered the primary expected source of payment (private insurance including HMO, Medicare, Medicaid, or other/no charge/self-pay), teaching status of hospital (metropolitan, non-teaching; metropolitan, teaching; non-metropolitan), discharge timing (January–March, April–June, July–September, October–December), and median household income quartiles for patient’s ZIP Code ($1–$45,999, $46,000–$58,999, $59,000–$78,999, $79,000 or more).

Statistical methods

All statistical procedures were conducted using SAS software (version 9.4; SAS institute) and SAS-Callable SUDAAN (version 11.0.1; Research Triangle Institute) to account for complex sampling design. Discharge-level weights were provided in the database to produce nationwide visit-level statistics for analyses, using the ED visit as the unit of analysis. Discharge-level weights were used to produce unbiased national annual estimates from sample data.8 Cell sizes less than or equal to 10 were suppressed.9 We used Wald chi-square tests to determine statistically significant associations between two categorical variables (using a significance level of 0.05). First, we examined the percentage of disposition of patients with asthma at discharge from the ED and for select categories by race and ethnicity. To identify risk factors associated with hospital admission following an ED visit, we used univariable and multi-variable logistic regression models. The dichotomous outcome variable in the models included ED visits resulting in hospital admission (yes, no), and the independent variables were sex, age, race and ethnicity, the primary expected source of payment, teaching status of hospital, and median household income quartiles for patient’s ZIP Code. Unadjusted (PRs) and adjusted prevalence ratio (aPRs), adjusting for all other independent variables in the model, with 95% confidence intervals, were calculated for children and adults.

Results

Discharging patients from the emergency department depends on the patients’ specific medical conditions and needs. Regardless of age, the majority of discharges from the ED for patients with asthma (all ED visits with asthma as the primary diagnosis [ICD-10-CM diagnosis code of J45]) were treat-and-release (routine: 88.5%) and about 9.8% resulted in hospital admission (8.9% were admitted to the same hospital and 0.9% were transferred to another short-term hospital). Approximately, 0.2% were transferred to other facilities (including skilled nursing facility, intermediate care, and another type of facilities), 0.1% were discharged to home health care, and 1.3% left the ED against medical advice (Table 1).

Table 1.

The disposition of the patient with asthmaa at discharge from the emergency department (ED) — United States, 2020

Disposition of the patient with asthma at discharge from the ED All ages Children with asthma-related emergency department (ED) visitsa Adults with asthma-related emergency department (ED) visitsa
Sample size Weighted number of visits SE of weighted number Percent (95% CI) Sample size Weighted number of visits SE of weighted number Percent (95% CI) Sample size Weighted number of visits SE of weighted number Percent (95% CI)
Total 225 420 986 119 32 575 100.0 (.–.) 61 897 270 286 19 978 100.0 (.–.) 163 522 715 827 22 989 100.0 (.–.)
Routine discharge 199 651 873 007 29 097 88.5 (88.0–89.1) 54 941 240 037 18 080 88.8 (87.7–89.9) 144 709 632 964 20 534 88.4 (87.9–88.9)
Transfer to short-term hospital 2023 8963 537 0.9 (0.8–1.0) 1284 5765 370 2.1 (1.8–2.6) 739 3197 365 0.4 (0.4–0.6)
Admitted as an inpatient to same hospital 19 999 88 034 3897 8.9 (8.4–9.5) 5176 22 289 2385 8.2 (7.2–9.4) 14 823 65 745 2619 9.2 (8.7–9.7)
Other transfers, including skilled nursing facility, intermediate care, and another type of facility 531 2425 246 0.2 (0.2–0.3) 233 1086 191 0.4 (0.3–0.6) 298 1338 129 0.2 (0.2–0.2)
Home health care 258 1168 131 0.1 (0.1–0.1) 26 124 30 0.0 (0.0–0.1) 232 1045 125 0.1 (0.1–0.2)
Against medical advice 2948 12 476 899 1.3 (1.1–1.4) 236 980 99 0.4 (0.3–0.4) 2712 11 496 881 1.6 (1.4–1.8)
Died in ED b b b b b b b b b b b b
Discharged/transferred to court/law enforcement b b b b b b b b b b b b
Discharged alive but destination is unknown b b b b b b b b b b b b

Abbreviations: ED, Emergency department; SE, standard error; CI, confidence interval.

a

Primary diagnosis for ED visit was asthma (ICD-10-CM code of J45).

b

Suppressed because n ≤10 persons.

Data source: 2020 Nationwide Emergency Department Sample (NEDS), Healthcare Cost and Utilization Project (HCUP), Agency for Healthcare Research and Quality.

A higher percentage of ED visits for Black persons (89.5%) and Hispanic persons (88.9%) were treated and released (routine discharge) from the ED and a lower percentage of ED visits for Black persons (7.8%) and Hispanic persons (8.9%) were admitted as an inpatient to the same hospital, compared with White persons (87.4% and 10.7%, respectively) (Table 2).

Table 2.

Select disposition categories at discharge from the ED for the patients with asthmaa by race and ethnicity — United States, 2020

All ages
Routine discharge
All ages
Admitted as an inpatient to same hospital
Sample size Weighted number of visits SE of weighted number Percent (95% CI) Sample size Weighted number of visits SE of weighted number Percent (95% CI)
Race and ethnicity 199 651 873 007 29 097 88.5 (88.0–89.1) 19 999 88 034 3897 8.9 (8.4–9.5)
White 68 298 304 558 8803 87.4 (86.8–87.9) 8031 35 443 1445 10.2 (9.6–10.7)
Black 77 456 332 436 19 810 89.5 (88.7–90.2) 6643 28 788 2044 7.8 (7.1–8.5)
Other raceb 12 892 58 020 4384 87.4 (86.2–88.4) 1518 6799 635 10.2 (9.2–11.4)
Hispanic 36 403 159 573 11 647 88.9 (87.9–89.8) 3580 15 948 1552 8.9 (8.0 –9.9)

Abbreviations: ED, Emergency department; SE, standard error; CI, confidence interval.

a

Primary diagnosis for ED visit was asthma (ICD-10-CM code of J45).

b

Other race includes Asian or Pacific Islander, Native American, and other race categories.

Data source: 2020 Nationwide Emergency Department Sample (NEDS), Healthcare Cost and Utilization Project (HCUP), Agency for Healthcare Research and Quality.

Note: numbers within selected characteristics may not sum to total due to rounding. Not all discharge categories were analyzed by race and ethnicity because of small sample sizes.

Emergency department visits for asthma resulting in hospital admission among U.S. children (aged 0–17 years)

About 10.4% (n=28,055) of ED visits for asthma among children aged 0–17 years resulted in a hospital admission to the same hospital or transfer to another short-term hospital. Results from a chi-square (χ2) test for independence indicate that age group (P < 0.001), race and ethnicity (P = 0.01), primary expected source of payment (P < 0.001), teaching status of hospital (P < 0.001), and discharge timing (P < 0.001) were significantly associated with hospital admission following an ED visit for asthma. Whereas sex and median household income quartiles for patient’s ZIP Code were not associated with hospital admission following the ED visits for asthma (Table 3).

Table 3.

Emergency department (ED) visits for asthmaa among children resulting in hospital admissionb by select characteristics — United States, 2020

Characteristics Hospital admissionb following an ED visit for asthmaa
Percent with hospital admission Chi-square (χ2) Test Prevalence ratios (PR)
Weighted number Weighted number (SE) Percent (95% CI) p-valuec Unadjusted PR (95% CI) Adjusted PR (aPR)d (95% CI)
Total 28 055 2392 10.4 (9.3–11.5)
Sex 0.88
Male 16 987 1442 10.4 (9.3–11.6) Referent Referent
Female 11 067 994 10.3 (9.2–11.6) 1.00 (0.93–1.06) 1.08 (1.01–1.15)
Age group (years) <0.001
0–2 6496 650 13.7 (11.8–15.9) 2.01 (1.77–2.28) 1.85 (1.64–2.09)
3–5 6973 698 14.2 (12.6–15.9) 2.07 (1.83–2.35) 1.95 (1.72–2.22)
6–11 9423 814 9.6 (8.6–10.7) 1.41 (1.29–1.53) 1.37 (1.26–1.49)
12–17 5163 476 6.8 (6.0–7.7) Referent Referent
Race and ethnicity 0.01
White 8682 788 11.4 (10.2–12.6) Referent Referent
Black 9877 1044 9.7 (8.4–11.2) 0.86 (0.75–0.98) 0.84 (0.73–0.97)
Other race 2464 284 12.8 (11.1–14.7) 1.13 (0.99–1.28) 1.04 (0.92–1.18)
Hispanic 6617 984 9.9 (8.4–11.7) 0.87 (0.75–1.01) 0.82 (0.70–0.97)
Payer information <0.001
Medicaid/Medicare 18 420 1654 10.2 (9.1–11.4) 0.86 (0.79–0.93) 0.89 (0.82–0.97)
Private, including HMO 7882 709 11.9 (10.7–13.2) Referent Referent
Other/no charge/self pay 1727 229 7.6 (6.3–9.1) 0.64 (0.54–0.75) 0.69 (0.58–0.81)
Teaching status of hospital where ED located <0.001
Metropolitan, non-teaching 2734 287 7.2 (6.2–8.3) 0.62 (0.51–0.76) 0.65 (0.54–0.78)
Metropolitan, teaching 23 654 2370 11.5 (10.1–13.0) Referent Referent
Non-metropolitan 1667 148 6.4 (5.7–7.2) 0.56 (0.47–0.66) 0.57 (0.47–0.67)
Discharge timing <0.001
January–March 15 147 1399 11.2 (10.0–12.4) 1.58 (1.37–1.83) 1.34 (1.16–1.54)
April–June 1842 198 7.0 (6.0–8.3) Referent Referent
July–September 3019 282 7.5 (6.6–8.6) 1.07 (0.93–1.22) 1.02 (0.89–1.17)
October–December 8032 717 11.9 (10.5–13.5) 1.69 (1.49–1.92) 1.52 (1.33–1.73)
Median household income quartiles for patient’s ZIP Code 0.22
$1–$45,999 10 976 1169 9.8 (8.5–11.2) 0.81 (0.66–1.00) 1.03 (0.88–1.22)
$46,000–$58,999 7354 704 10.5 (9.3–11.7) 0.84 (0.71–1.00) 1.06 (0.92–1.23)
$59,000–$78,999 5538 605 10.8 (9.5–12.3) 0.90 (0.77–1.06) 1.02 (0.89–1.17)
$79,000 or more 4013 420 11.6 (10.1–13.3) Referent Referent

Abbreviations: ED, emergency department; SE, standard error; CI, confidence interval; PR, prevalence ratio.

a

Primary diagnosis for ED visit was asthma (ICD-10-CM code J45).

b

Admitted to the same hospital from the ED or transfer to a short-term hospital.

c

p-value of <0.05 is used to determine statistically significant association between two categorical variables using chi-square (χ2) test for independence.

d

Adjusted for all independent variables in the model.

Note: bold values represent the statistically significant results.

Data source: 2020 Nationwide Emergency Department Sample (NEDS), Healthcare Cost and Utilization Project (HCUP), Agency for Healthcare Research and Quality.

Among children, more ED visits for females (aPR: 1.08, 95% CIs: [1.01, 1,15]), ages 0–2 years (aPR: 1.85 [1.64, 2.09]), ages 3–5 years (aPR: 1.95 [1.72, 2.22]), ages 6–11 years (aPR: 1.37 [1.26, 1.49]), and discharged in January–March (aPR: 1.34 [1.16, 1.54]) or in October–December (aPR: 1.52 [1.33, 1.73]) resulted in hospital admission following an ED visit compared with corresponding reference groups (males, ages 12–17 years, and discharged in April–June, respectively). However, less of the ED visits for Black children (aPR: 0.84 [0.73, 0.97]), Hispanic children (aPR: 0.82 [0.70, 0.97]), payment source of Medicare/Medicaid (aPR: 0.89 [0.82, 0.97]) or other payers/no charge/self-pay (aPR: 0.69 [0.58, 0.81]), for ED visits in metropolitan, non-teaching hospital (aPR: 0.65 [0.54, 0.78]), and non-metropolitan hospital (aPR: 0.57 [0.47, 0.67]) resulted in hospitalization following an ED visit compared with the corresponding reference groups (White children, private insurance including HMOs, and for ED visits in metropolitan, teaching hospital, respectively) (Table 3).

Emergency department visits for asthma resulting in hospital admission among U.S. adults (aged ≥18 years)

About 9.6% (n=68,937) of ED visits for asthma among adults aged ≥18 years resulted in hospital admission to the same hospital or transferred to another short-term hospital. Sex (P < 0.001), age group (P < 0.001), race and ethnicity (P < 0.001), primary expected source of payment (P < 0.001), teaching status of hospital (P < 0.001), discharge timing (P < 0.001), and median household income quartiles for patient’s ZIP Code (P < 0.001), were all highly associated with hospital admissions following an ED visit for asthma (Table 4). Among adults, more ED visits for females (aPR: 1.36 [1.30, 1,43]), ages 35–54 years (aPR: 1.84 [1.75, 1.94]), ages 55–64 years (aPR: 2.54 [2.36, 2.75]), ages 65 years and more (aPR: 3.22 [2.94, 3.52]), Medicare participants (aPR: 1.40 [1.31, 1.49]), and discharged in January–March (aPR: 1.09 [1.03, 1.16]) resulted in hospital admission following an ED visit compared with corresponding reference groups. The reference groups include males, ages 18–34 years, private insurance including HMOs, and discharged in April–June, respectively. However, less of the ED visits for Black adults (aPR: 0.82 [0.76, 0.89]), adults of Other races (aPR: 0.89 [0.80, 0.99]), Hispanic adults (aPR: 0.86 [0.79, 0.93]), other payers/no charge/self-pay (aPR: 0.82 [0.76, 0.88]), for ED visits in metropolitan, non-teaching hospital (aPR: 0.80 [0.72, 0.88]) or non-metropolitan hospital (aPR: 0.57 [0.51, 0.63]), median household income quartiles for patient’s ZIP Code of $1–$45,999 (aPR: 0.90 [0.82, 0.99]), and $46,000–$58,999 (aPR: 0.92 [0.84, 0.99]) resulted in hospital admission following an ED visit compared with corresponding reference groups (White adults, private insurance including HMOs, for ED visits in metropolitan, teaching hospital, discharged in April–June, and median household income quartiles for patient’s ZIP Code of $79,999 or more, respectively) (Table 4).

Table 4.

Emergency department (ED) visits for asthmaa among adults resulting in hospital admissionb by select characteristics — United States, 2020

Characteristics Hospital admissionb following an ED visit for asthmaa
Percent with hospital admission Chi-square (χ2) Test Prevalence ratios (PR)
Weighted number Weighted number (SE) Percent (95% CI) p-valuec Unadjusted (PR) (95% CI) Adjusted PR (aPR)d (95% CI)
Total 68 937 2669 9.6 (9.1–10.2)
Sex <0.001
Male 20 459 873 7.3 (6.8–7.8) Referent Referent
Female 48 478 1900 11.2 (10.6–11.8) 1.54 (1.47–1.61) 1.36 (1.30–1.43)
Age group (years) <0.001
18–34 14 832 635 5.0 (4.7–5.3) Referent Referent
35–54 25 460 1069 9.7 (9.2–10.3) 1.97 (1.87–2.07) 1.84 (1.75–1.94)
55–64 12 712 587 14.5 (13.4–15.8) 2.93 (2.72–3.17) 2.54 (2.36–2.75)
65 and over 15 938 724 23.5 (22.1–25.0) 4.74 (4.44–5.06) 3.22 (2.94–3.52)
Race and ethnicity <0.001
White 30 181 1153 11.1 (10.5–11.7) Referent Referent
Black 22 401 1546 8.3 (7.6–9.1) 0.75 (0.68–0.82) 0.82 (0.76–0.89)
Other race 4865 488 10.3 (9.2–11.5) 0.93 (0.83–1.05) 0.89 (0.80–0.99)
Hispanic 10 563 886 9.4 (8.5–10.3) 0.85 (0.77–0.93) 0.86 (0.79–0.93)
Payer information <0.001
Medicare 21 429 943 19.8 (18.7–21.0) 2.18 (2.08–2.30) 1.40 (1.31–1.49)
Medicaid 19 706 1022 7.9 (7.4–8.6) 0.87 (0.81–0.94) 0.99 (0.93–1.06)
Private, including HMO 18 444 843 9.1 (8.5–9.6) Referent Referent
Other/no charge/self pay 9277 472 6.0 (5.6–6.4) 0.66 (0.61–0.71) 0.82 (0.76–0.88)
Teaching status of hospital where ED located <0.001
Metropolitan, non-teaching 13 237 890 8.6 (7.9–9.3) 0.81 (0.73–0.91) 0.80 (0.72–0.88)
Metropolitan, teaching 49 954 2490 10.6 (9.9–11.4) Referent Referent
Non-metropolitan 5750 355 6.3 (5.8–6.8) 0.60 (0.54–0.66) 0.57 (0.51–0.63)
Discharge timing <0.001
January–March 28 460 1096 10.7 (10.1–11.4) 1.18 (1.12–1.25) 1.09 (1.03–1.16)
April–June 12 331 528 9.1 (8.5–9.7) Referent Referent
July–September 13 190 609 8.9 (8.4–9.6) 0.99 (0.93–1.04) 1.01 (0.95–1.07)
October–December 14 701 653 8.9 (8.3–9.5) 0.98 (0.93–1.03) 1.02 (0.96–1.07)
Median household income quartiles for patient’s ZIP Code <0.001
$1–$45,999 24 186 1489 8.6 (7.9–9.3) 0.70 (0.63–0.77) 0.90 (0.82–0.99)
$46,000–$58,999 17 254 886 9.2 (8.6–9.7) 0.74 (0.69–0.81) 0.92 (0.84–0.99)
$59,000–$78,999 14 094 773 10.6 (9.9–11.4) 0.86 (0.79–0.94) 0.96 (0.89–1.04)
$79,000 or more 12 150 778 12.3 (11.4–13.3) Referent Referent

Abbreviations: ED, emergency department; SE, standard error; CI, confidence interval; PR, prevalence ratio.

a

Primary diagnosis for ED visit was asthma (ICD-10-CM code J45).

b

Admitted to the same hospital from the ED or transfer to a short-term hospital.

c

p-value of <0.05 is used to determine statistically significant association between two categorical variables using chi-square (χ2) test for independence.

d

Adjusted for all independent variables in the model.

Note: bold values represent the statistically significant results.

Data source: 2020 Nationwide Emergency Department Sample (NEDS), Healthcare Cost and Utilization Project (HCUP), Agency for Healthcare Research and Quality.

Discussion

In this study, we identified factors associated with hospital admission following an ED visit for asthma among U.S. children and adults. Approximately 10% of ED visits for asthma among children and adults resulted in hospital admission either to the same hospital or a small percentage was to another short-term hospital. We assessed the risk factors for hospital admissions following an ED visit for asthma using the data on select factors available in the 2020 NEDS database such as sex, age, race and ethnicity, the primary expected source of payment, teaching status of hospital, discharge timing, and median household income quartiles for patient’s ZIP Code.

The study findings indicate that among children more ED visits for females, ages less than 12 years, and discharged time in January–March or October–December resulted in hospital admission following an ED visit for asthma. Among adults more ED visits for females, ages greater than 34 years, Medicare coverage, and discharged in January–March resulted in hospital admission following an ED visit for asthma. Previously, age and previous admission to hospital were described as predictors of asthma-related pediatric ED visits and hospitalizations.10 ED visit and hospitalization rates for asthma for Black and Hispanic children and adults are usually much higher than for White persons (i.e., about 4–6 times for Black persons and 2 times more for Hispanic persons).11 One might expect higher asthma hospital admission following an ED visit in populations with higher ED visits, such as Black and Hispanic persons. However, this study’s results show that hospital admission following an ED visit was lower for Black persons and Hispanic persons compared with that for White persons. This discrepancy can partly be explained by higher percentage of ED visits for Black (89.5%) and Hispanic (88.9%) persons were discharged as routine (treated and released), rather than higher hospital admission compared with White (87.4%) persons (Table 2).

The previous studies2,4,12 indicate that people from Black and Hispanic groups were less likely to have health care coverage and more likely to use ED for routine asthma care, which might explain the higher ED visits and routine discharge, rather than hospital admission following an ED visit among Black and Hispanic persons. However, further investigation may provide additional information on the reasons for lower hospital admission after an ED visit for asthma among non-White persons despite having higher ED visits.

Type of health care coverage and hospital teaching status were also significantly associated with hospital admission following the ED visits. More adults who visited the ED who had Medicare resulted in hospital admission following an ED visit, and less of ED visits with other pay/no pay/self-pay payment type resulted in hospital admission following an ED visit compared with having private insurance. Medicare plays an essential role in providing health coverage and access to care for the persons 65 years or older (86.2%) and people with disabilities (13.7%) or end-stage renal disease (0.1%).13 About 60.7% of Medicare beneficiaries in 2019 had one or more health conditions and almost one third (27.9%) had three or more health conditions.13 Higher hospitalization following the ED visits for asthma among Medicare beneficiaries is not unusual given that older age and having multiple comorbid conditions are highly associated with hospitalization.14,15,16 In addition, this study shows that less of the ED visits for asthma in metropolitan, non-teaching hospitals and non-metropolitan hospitals resulted in hospital admission following an ED visit compared with metropolitan, teaching hospitals. This difference might be because major teaching hospitals are significantly more likely to provide care for people from racial and ethnic minority groups and to accept complex and seriously ill patients requiring transfer from other institutions for advanced care.17

This study comes with some limitations. Factors studied were limited to those available in the HCUP NEDS database. Therefore, this study did not assess all possible factors that may be important in making admission decisions, such as, patients’ specific medical conditions (e.g., asthma severity, comorbid conditions), distance from home, unmeasured socio-economic issues, and health system capacity due to data availability.1,5,14 Consequently, we were unable to ascertain the underlying contributors for these observed differences in hospital admissions following an ED visit for asthma. Another limitation was that the unit of analysis for this study is ED visit, and not individual patients, because the HCUP NEDS database contains encounter-level records, not patient-level records. As a result, the database may contain multiple visits for the same patient if individual patients visit the ED multiple times in a year.6 This might introduce measurement bias depending on how often this may occur, which we will not know given the lack of uniform patient identifier available that would allow a patient-level analysis to identify individuals with more than one ED visit.6

In conclusion, this study’s findings indicate that more ED visits for asthma for select characteristics (i.e., for both children and adults, females, White persons, discharged in January–March, and for ED visits in teaching hospitals in metropolitan areas; children ages younger than 12 years; children with private insurance including HMO; adults ages 35 years or older; adults with Medicare coverage; and adults with median household income quartiles for patient’s ZIP Code of $79,000 or more) resulted in hospital admissions following an ED visit for asthma. Examining the risk factors associated with hospital admission after an ED visit for asthma is important for identifying these groups and better addressing their needs.

Funding

The author(s) received no financial support for the research, authorship, and/or publication of this article.

Footnotes

Disclaimer

The findings and conclusions in this report are those of the authors and do not necessarily represent the official position of the Centers for Disease Control and Prevention.

Declaration of interest

The authors report no conflicts of interest. The authors alone are responsible for the content and writing of this article.

References

  • 1.Johnson LH, Chambers P, Dexheimer JW. Asthma-related emergency department use: current perspectives. Open Access Emerg Med. 2016. Jul 13;8:47–55. doi: 10.2147/OAEM.S69973. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 2.Centers for Disease Control and Prevention. AsthmaStats. Usual place for medical care among U.S. children by asthma status, 2019–2020. U.S. Department of Health and Human Services; 2023. Available from: https://www.cdc.gov/asthma/asthma_stats/usual-place-asthma-children.htm. [Google Scholar]
  • 3.Arrotta N, Hill J, Villa-Roel C, Dennett E, Harries M, Rowe BH. Factors associated with hospital admission in adult patients with asthma exacerbations: a systematic review. J Asthma. 2019. Jan;56(1):34–41. doi: 10.1080/02770903.2018.1424189. Epub 2018 Mar 9. [DOI] [PubMed] [Google Scholar]
  • 4.Centers for Disease Control and Prevention. National Center for Health Statistics. FastStats. Health Insurance Coverage. U.S. Department of Health and Human Services; 2023. Available from: https://www.cdc.gov/nchs/fastats/health-insurance.htm. [Google Scholar]
  • 5.NEDS summary statistics. Healthcare Cost and Utilization Project (HCUP). October 2022. Agency for Healthcare Research and Quality, Rockville, MD. Available from: https://hcup-us.ahrq.gov/db/nation/neds/nedssummstats.jsp. [PubMed] [Google Scholar]
  • 6.NEDS Description of Data Elements. Healthcare Cost and Utilization Project (HCUP). October 2022. Agency for Healthcare Research and Quality, Rockville, MD. Available from: www.hcup-us.ahrq.gov/db/vars/nedsnote_multi.jsp. [Google Scholar]
  • 7.NEDS Overview. Healthcare Cost and Utilization Project (HCUP). October 2022. Agency for Healthcare Research and Quality, Rockville, MD. Available from: www.hcup-us.ahrq.gov/nedsoverview.jsp. [PubMed] [Google Scholar]
  • 8.Introduction to the HCUP nationwide emergency department sample (NEDS), 2020. Healthcare Cost and Utilization Project (HCUP). October 2022. Agency for Healthcare Research and Quality, Rockville, MD. Available from: www.hcup-us.ahrq.gov/db/nation/neds/NEDS_Introduction_2020.jsp. [Google Scholar]
  • 9.Requirements for publishing with HCUP data. Healthcare Cost and Utilization Project (HCUP). January 2023. Agency for Healthcare Research and Quality, Rockville, MD. Available from: https://hcup-us.ahrq.gov/db/publishing.jsp. [Google Scholar]
  • 10.Tolomeo C, Savrin C, Heinzer M, Bazzy-Asaad A. Predictors of asthma-related pediatric emergency department visits and hospitalizations. J Asthma. 2009. Oct;46(8):829–834. [PubMed] [Google Scholar]
  • 11.Centers for Disease Control and Prevention. 2020 healthcare use data. Table A and B. U.S. Department of Health and Human Services; 2023. Available from: https://www.cdc.gov/asthma/healthcare-use/2020/data.htm. Accessed on July 19, 2023. [Google Scholar]
  • 12.Fitzpatrick AM, Gillespie SE, Mauger DT, Phillips BR, Bleecker ER, Israel E, et al. Racial disparities in asthma-related health care use in the National Heart, Lung, and Blood Institute’s Severe Asthma Research Program. J Allergy Clin Immunol. 2019. Jun;143(6):2052–2061. doi: 10.1016/j.jaci.2018.11.022. Epub 2019 Jan 8. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13.Tarazi W, Welch WP, Nguyen N, Bosworth A, Sheingold S, De Lew N. Medicare beneficiary enrollment trends and demographic characteristics. (Issue Brief No. HP2022–08). Office of the Assistant Secretary for Planning and Evaluation, U.S. Department of Health and Human Services. March 2022. [Google Scholar]
  • 14.Salanitro AH, Hovater M, Hearld KR, Roth DL, Sawyer P, Locher JL et al. Symptom burden predicts hospitalization independent of comorbidity in community-dwelling older adults. J Am Geriatr Soc. 2012. Sep;60(9):1632–1637. doi: 10.1111/j.1532-5415.2012.04121.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15.Arrotta N, Hill J, Villa-Roel C, Dennett E, Harries M, Rowe BH. Factors associated with hospital admission in adult patients with asthma exacerbations: a systematic review. J Asthma. 2019;56(1):34–41. doi: 10.1080/02770903.2018.1424189. [DOI] [PubMed] [Google Scholar]
  • 16.Fergeson JE, Patel SS, Lockey RF. Acute asthma, prognosis, and treatment. J Allergy Clin Immunol. 2017;139(2):438–447. [DOI] [PubMed] [Google Scholar]
  • 17.Shahian DM, Liu X, Meyer GS, Normand S-LT. Comparing teaching versus nonteaching hospitals: the association of patient characteristics with teaching intensity for three common medical conditions. Acad Med. 2014. Jan;89(1):94–106. doi: 10.1097/ACM.0000000000000050. [DOI] [PubMed] [Google Scholar]

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