Next Article in Journal
Sero-Prevalence of SARS-CoV-2 Antibodies in High-Risk Populations in Vietnam
Next Article in Special Issue
Modeling Provincial Covid-19 Epidemic Data Using an Adjusted Time-Dependent SIRD Model
Previous Article in Journal
Unravelling the Role of Socioeconomic Forces in the Early Stage of COVID-19 Pandemic: A Global Analysis
Previous Article in Special Issue
Pregnancy and COVID-19 Pandemic Perception in Malaysia: A Cross-Sectional Study
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Impact of the COVID-19 Pandemic on Healthcare-Seeking Behaviors among Frequent Emergency Department Users: A Cohort Study

1
Department of Education and Research, Taipei City Hospital, Taipei 106, Taiwan
2
Institute of Public Health, National Yang Ming Chiao Tung University, Taipei 112, Taiwan
3
Section of Infectious Diseases, Taipei City Hospital, Yangming Branch, Taipei 111, Taiwan
4
Department of Health Care Management, National Taipei University of Nursing and Health Sciences, Taipei 112, Taiwan
5
Department of Psychology and Counseling, University of Taipei, Taipei 100, Taiwan
6
Department of Health and Welfare, University of Taipei, Taipei 100, Taiwan
7
Institute of Hospital and Health Care Administration, National Yang Ming Chiao Tung University, Taipei 112, Taiwan
8
Department of Neurosurgery, Taipei City Hospital, Taipei 103, Taiwan
*
Author to whom correspondence should be addressed.
Contributed equally to this work.
Int. J. Environ. Res. Public Health 2021, 18(12), 6351; https://0-doi-org.brum.beds.ac.uk/10.3390/ijerph18126351
Submission received: 4 May 2021 / Revised: 4 June 2021 / Accepted: 8 June 2021 / Published: 11 June 2021
(This article belongs to the Collection COVID-19 Research)

Abstract

:
In 2020, Taiwan’s healthcare system faced a notable burden imposed by the coronavirus disease (COVID-19) pandemic. Emergency department (ED) is a high-risk area for severe acute respiratory syndrome coronavirus 2 transmission. The effect of COVID-19 on the utilization of ED services among frequent ED users remains unknown. This cohort study determined the impact of the COVID-19 pandemic on healthcare-seeking behaviors among frequent ED users at Taipei City Hospital, Taiwan. We included ED users aged ≥ 18 years admitted to Taipei City Hospital during February 2019–January 2020 (before the pandemic) and February 2020–January 2021 (during the pandemic). Frequent ED users were patients with four or more ED visits per year. Stepwise logistic regression was performed to identify predictors of frequent ED use during the COVID-19 pandemic. Frequent ED users had shorter hospital stays in the ED during the pandemic. After adjusting for sociodemographic factors and other covariates, patients with a triage status of level 4–5, pneumonia diagnosis, giddiness, or dyspnea were more likely frequent ED visitors during the COVID-19 pandemic. To reduce the risk of acquiring COVID-19, it is important to utilize territorial healthcare or telehealth to avoid inappropriate ED visits for patients with a low level of risk or chronic disease.

1. Introduction

Emergency department (ED) crowding is a burden on public health [1,2], so understanding the characteristics of frequent ED users is a key concern of healthcare systems and policy makers [3,4]. Taiwan’s implementation of National Health Insurance in 1994 enhanced public access to healthcare. From 2000 to 2015, the number of ED visits in Taiwan increased by about 20.7%, leading to ED crowding and a larger number of frequent ED users [5,6].
As compared to occasional ED users, frequent ED users are older [7], have more chronic diseases [8], complex mental health problems [9,10], or drug addiction [11,12,13]. It has been shown that it is possible to reduce the number of visits by frequent ED users through certain intervention measures, such as case management, personal nursing care planning, strategies for pre-hospital transfer to non-emergency care, and enhanced primary care [14,15]. Therefore, identifying the features of frequent ED users and designing appropriate intervention measures are crucial tasks for reducing the frequency of ED visits and improving the relevant healthcare outcomes.
In 2020, Taiwan’s healthcare system faced the significant challenge posed by the coronavirus disease (COVID-19) pandemic, and emergency care became the front-line tactic in the battle against this disease. To reduce disease transmission, the US Centers for Disease Control and Prevention (CDC) issued stay-at-home recommendations and encouraged local governments or healthcare systems to adopt corresponding policies or healthcare regulations.
The infectious nature of COVID-19 can influence patients to avoid visiting the hospital due to fears surrounding the rapid transmissibility of the disease. This restriction subsequently prevents patients from seeking medical care, which may decrease the utilization of ED services. A recent study conducted in the US showed that there was a 49.3% decline in ED visits after the declaration of the COVID-19 pandemic [16]. Another study conducted in Germany demonstrated a drop of 63.8% in pediatric emergency healthcare utilization during the COVID-19 pandemic [17]. Although recent studies have indicated a negative impact of the COVID-19 pandemic on the utilization of ED services, there has been scarce evidence for the impact of the COVID-19 pandemic on the utilization of ED services among frequent ED users.
The present study aimed to determine the impact of the COVID-19 pandemic on healthcare-seeking behaviors among frequent ED users at Taipei City Hospital (TCH), Taiwan. In addition, this study identified predictors associated with frequent ED use before and during the COVID-19 pandemic.

2. Materials and Methods

2.1. Study Design and Setting

TCH, a 4700-bed hospital, is the largest healthcare organization in northern Taiwan. This cohort study examined patients who visited TCH Renai, Heping, and Zhongxiao branches in February 2019–January 2021. All information that could identify a specific individual patient was encrypted. After data encryption, emergency department data, medical utilization, discharge data, and demographic information was collected. The data used in the study were de-identified before the analysis took place. The study protocol was approved by the institutional review board (TCHIRB-10904009-E).

2.2. Selection of Participants

This cohort study compared the utilization of emergency medical services before (February 2019–January 2020) and during (February 2020–January 2021) the COVID-19 pandemic. Individuals aged ≥ 18 years who visited the TCH ED during these two periods were included as participants. As this study intended to determine the impact of the COVID-19 pandemic on healthcare-seeking behaviors among adult frequent ED users, this study excluded the following types of patients from the analysis: pediatric ED users (n = 20,354), pregnant individuals (n = 809), and patients with out-of-hospital cardiac arrest deaths or death after an ED visit (n = 525) (Figure 1).

2.3. Measurements

Covariates identified as predictors [18] of frequent visit to the ED in previous studies were assessed in our analyses; these included the individuals’ sociodemographic characteristics (sex, age, and copayment exemptions), triage status, mode of patient arrival, and most frequent primary diagnoses during ED visits. All medical records in the periods before and during the COVID-19 pandemic were collected. Subjects were classified into age groups of 18–34 years, 35–49 years, 50–64 years, 65–79 years, and ≥80 years. Most patients with copayment exemptions had catastrophic illnesses and were exempt from paying approximately US $10 in medical expenses [19]. The characteristics of ED visit included the time of ED visit (8 a.m.–4 p.m., 4 p.m.–0 a.m., 0 a.m.–8 a.m.), disposition of ED visit (discharge, hospitalization), triage status of patient severity (levels 1–5) [20], mode of patient arrival (walk-in, referral from other institutions, ambulance), average length of stay (LOS) in the ED, average medical expenses, cancer, chest radiography, and chest computed tomography (CT) examination. Data of the ten most frequent primary diagnoses in ED visits were also collected for the periods before and during the COVID-19 pandemic.

2.4. Outcomes

The outcome variable was the frequency of ED user visits before and during the COVID-19 pandemic. Frequent ED users were defined as those with four or more ED visits in a year, and occasional ED users were defined as those with one to three ED visits [2,10,21].

2.5. Data Analysis

Analyses were performed on the personal characteristics, healthcare utilization characteristics, and the top ten primary diagnoses before and during the COVID-19 pandemic for frequent and occasional ED users. The data were presented as percentages, and a chi-squared test or Student’s t-test was performed to compare the differences between the periods before and during the pandemic. The predictors for frequent ED use were analyzed using multivariate logistic regression, and the forward stepwise regression model was adopted, adjusting for age, sex, triage status, mode of patient arrival, copayment exemption status, and top ten primary diagnoses of the given year. Statistical significance was set at 5%, and all analyses were conducted using SAS (version 9.4; SAS Institute, Inc., Cary, NC, USA).

3. Results

3.1. Characteristics of Study Subjects

In total, 132,434 patients who visited the TCH ED before and during the pandemic were included in this study. The number of ED users significantly decreased from 72,412 before the COVID-19 pandemic to 60,022 during the COVID-19 pandemic (p = 0.032). The overall mean (standard deviation) age was 49.6 (21.0) years, and 49.2% of the participants were male. Of the 132,434 patients, 12,423 (9.4%) had medical records for both periods. Frequent ED users accounted for 3.3% (2386 cases) and 3.1% (1853 cases) of ED patients before and during the COVID-19 pandemic, respectively (Table 1).

3.2. Trend of Monthly Emergency Department Visits before and during COVID-19 Pandemic

Figure 2 shows the trend of monthly ED visits before and during the COVID-19 pandemic. After the start of the COVID-19 outbreak in January 2020, the number of ED visits during the COVID-19 pandemic significantly decreased by 10.1–26.8% compared to that before the COVID-19 pandemic (p < 0.0001). During the COVID-19 pandemic, the number of laboratory-confirmed COVID-19 cases in Taiwan significantly decreased from 283 cases in March to 20 cases in July. The number of monthly ED visits during the COVID-19 pandemic slightly increased from 6202 ED visits in March to 7196 ED visits in July (p = 0.004), which, however, was lower than before the COVID-19 pandemic.

3.3. Characteristics of ED Visits before and during COVID-19 Pandemic

A total of 180,310 ED visits were recorded during the study period, including 99,256 (55.1%) and 81,054 (44.9%) before and during the COVID-19 pandemic, respectively. In terms of frequent ED users, that is those visiting the ED four times or more, these patients had a shorter length of stay in the ED compared to before the COVID-19 pandemic (212.5 vs. 233.9 min; p < 0.0001) (Table 2).

3.4. Primary Diagnoses in ED Users before and during COVID-19 Pandemic

The top ten most frequent primary diagnoses in ED users were analyzed before and during the COVID-19 pandemic (Appendix A, Table A1). Among frequent ED users, the most frequent primary diagnoses during the COVID-19 pandemic were dizziness and giddiness (5.71%), followed by abdominal and pelvic pain (5.68%), and fever of unknown origin (3.55%). Moreover, the top three primary diagnoses among frequent ED users before the COVID-19 pandemic were abdominal and pelvic pain (5.75%), dizziness and giddiness (5.04%), and fever of unknown origin (4.10%).

3.5. Factors Associated with Frequent ED Users before and during COVID-19 Pandemic

Table 3 shows the multivariate analyses for factors associated with frequent ED users before and during the COVID-19 pandemic. After adjusting for sociodemographic factors and other covariates, patients with a triage status of level 4–5 (AOR = 1.63, 95% CI: 1.15–2.31), a diagnosis of pneumonia (AOR = 1.88, 95% CI: 1.09–3.24), dizziness and giddiness (AOR = 2.88, 95% CI: 1.84–4.52), dyspnea (AOR = 1.83, 95% CI: 0.99–3.37), or chronic kidney disease (AOR = 5.07, 95% CI: 2.66–9.69) were more likely to visit the ED four or more times during the COVID-19 pandemic. Moreover, patients aged ≥ 65 years, those with copayment exemptions, and those with cancer were more likely to visit the ED four or more times before and during the COVID-19 pandemic.

4. Discussion

This study found that the utilization of emergency medical services during the COVID-19 pandemic significantly decreased by 10.1–26.8% compared to before the COVID-19 pandemic. The LOS in frequent ED users during the COVID-19 pandemic was significantly shorter than that before the COVID-19 pandemic. Furthermore, patients with a triage status of level 4–5, or a diagnosis of pneumonia, giddiness, or dyspnea were more likely to frequently utilize the emergency medical services during the COVID-19 pandemic.
This cohort study showed that the overall ED service volume during the COVID-19 pandemic in Taiwan decreased significantly by 26.8%, which was lower than the reductions of 39.6% seen in EDs in the US [22] and 63.8% in the pediatric ED in Germany [17]. The relatively lower impact of the COVID-19 pandemic on the utilization of ED services in Taiwan may be due to the successful control of the COVID-19 pandemic in 2020. As the COVID-19 outbreak emerged, the Taiwanese government implemented several strategies to prevent the nationwide spread of COVID-19, including border controls, proactive screening measures, and quarantine procedures [23,24]. By 31 January 2021, 911 laboratory-confirmed COVID-19 cases were reported to the Taiwan Centers for Disease Control and Prevention (CDC), including 797 (87.5%) imported cases [25]. Although Taiwan successfully controlled the spread of the COVID-19 pandemic in the country in 2020, there was still a significant overall reduction in ED utilization. As ED services provide treatments for patients with acute illnesses, it is important to raise patient awareness regarding acute health conditions that are deadlier than COVID-19 and that require immediate medical intervention to ensure health and recovery.
With regards to the utilization of ED services, the average LOS of frequent ED users showed a significant decrease of 21.4 min (p < 0.0001). This could be attributed to the COVID-19 pandemic, with physicians reducing observation times in order to avoid the risk of nosocomial infections. A previous study in Canada showed that the length of stay in ED users was significantly decreased in a pediatric emergency department during the SARS pandemic of 2003 [26]. Patients staying in the ED for longer periods of time during the COVID-19 pandemic increases the risk of a SARS-CoV-2 outbreak in crowded ED departments. The findings of our study suggest that it is important to reduce the LOS of ED users to prevent the occurrence of SARS-CoV-2 infection in these patients.
This study found that patients with a diagnosis of pneumonia were more likely to utilize emergency medical services frequently during the COVID-19 pandemic. The implementation of enhanced traffic control bundling (eTCB) to prevent COVID-19 outbreaks in Taiwan may explain the high frequency of emergency medical service use in patients with a diagnosis of pneumonia. In the beginning of the COVID-19 epidemic in 2020, Taiwan CDC implemented eTCB in nationwide hospitals to secure the healthcare system [27]. At the hospital entrance, all patients were required to undergo body temperature and TOCC (i.e., travel history, occupation, contact history, and clusters) checks before entering. If patients at the hospital entrance presented with fever, symptoms of pneumonia, or a history of visiting regions with a declared COVID-19 outbreak during the last 14 days, they were referred to the ED for a COVID-19 examination. Since healthcare workers are vulnerable to SARS-CoV-2 infection, the urgent adoption of strict COVID-19 prevention strategies was essential to prevent COVID-19 outbreaks in healthcare settings.
This study showed that patients with triage status of level 4–5 or the symptoms of dizziness or giddiness were more likely to frequently utilize ED medical services during the COVID-19 pandemic. The increasing burden of COVID-19-related psychological disorders may explain the high frequency of the utilization of emergency medical services in patients with a triage status of level 4–5 or the symptoms of dizziness or giddiness. Recent reports have shown that the COVID-19 pandemic has increased the burden of mental and psychological problems in the general public [28,29,30], which could increase the utilization of emergency medical services. Since SARS-CoV-2 is highly contagious, it is imperative to educate non-emergency patients to utilize outpatient medical services rather than emergency medical services to reduce the risk of COVID-19 infection and outbreaks at ED.
There were two limitations to this study. First, the data for ED visits originated from a single hospital, which did not include all ED visits in the entire region. However, due to the COVID-19 pandemic, people have reduced their use of public transport and opted for hospitals closer to their homes, in order to avoid the risk of infection, while also cutting down on unnecessary visits. Therefore, cases where patients visit different hospitals for the same disease were expected to have decreased. Second, although TCH is the largest healthcare organization in northern Taiwan, our subjects were selected only from a single hospital. Therefore, the external validity of our findings may be of concern, and the generalizability of our results to hospital settings other than non-Asian ethnic groups requires further verification.

5. Conclusions

This cohort study demonstrated that the utilization of emergency medical services was significantly decreased during the COVID-19 pandemic. Patients with a triage status of level 4–5, a pneumonia diagnosis, giddiness, or dyspnea were more likely to frequently utilize the emergency medical services during the COVID-19 pandemic. To reduce the risk of SARS-CoV-2 infection transmission, it is important to utilize territorial healthcare or telehealth to avoid inappropriate ED visits for patients with a low level of risk or with chronic disease.

Author Contributions

Conceptualization, Y.-C.C., Y.-F.Y. and H.-Y.H.; methodology, Y.-C.C., Y.-F.Y., D.C. and H.-Y.H.; formal analysis, Y.-C.C. and H.-Y.H.; writing—original draft preparation, Y.-C.C. and Y.-F.Y.; writing—review and editing, Y.-C.C., Y.-F.Y., D.C. and H.-Y.H.; funding acquisition, H.-Y.H. All authors have read and agreed to the published version of the manuscript.

Funding

Funded by the Ministry of Science and Technology, Taiwan (MOST108-2635-B-532-001).

Institutional Review Board Statement

The study was conducted according to the Declaration of Helsinki guidelines and approved by the Institutional Review Board of Taipei City Hospital (TCHIRB-10904009-E).

Informed Consent Statement

This study was conducted by analyzing datasets, and the raw data were de-identified. Therefore, the Research Ethics Committee agreed to waive the informed consent due to minimal risk within the study.

Data Availability Statement

The datasets produced and analyzed during the present study are available from the corresponding author upon reasonable request.

Acknowledgments

We thank all the study participants and staff for their assistance.

Conflicts of Interest

The authors declare no conflict of interest.

Appendix A

Table A1. The ten most frequent primary diagnoses among frequent and occasional ED users before (February 2019–January 2020) and during the COVID-19 pandemic (February 2020–January 2021) (n = 180,310).
Table A1. The ten most frequent primary diagnoses among frequent and occasional ED users before (February 2019–January 2020) and during the COVID-19 pandemic (February 2020–January 2021) (n = 180,310).
Frequent ED Users (n = 26,404)
Before the COVID-19 Pandemic (n = 14,854)N (%)During the COVID-19 Pandemic (n = 11,550)N (%)
Abdominal and pelvic pain855 (5.75)Dizziness and giddiness660 (5.71)
Dizziness and giddiness749 (5.04)Abdominal and pelvic pain657 (5.68)
Fever of other and unknown origin610 (4.10)Fever of other and unknown origin411 (3.55)
Other anemias461 (3.10)Other anemias400 (3.46)
Pneumonia, unspecified organism437 (2.94)Pain in throat and chest391 (3.38)
Retention of urine379 (2.55)Dsypnea330 (2.85)
Pain in throat and chest377 (2.53)Other disorders of urinary system312 (2.70)
Other disorders of urinary system354 (2.38)Retention of urine293 (2.53)
Dsypnea343 (2.30)Pneumonia, unspecified organism244 (2.11)
Other chronic obstructive pulmonary disease337 (2.26)Chronic kidney disease (CKD)227 (1.96)
Occasional ED Users (n = 153,906)
Before the COVID-19 Pandemic (n = 84,402)N (%)During the COVID-19 Pandemic (n = 69,504)N (%)
Abdominal and pelvic pain5306 (6.28)Abdominal and pelvic pain4176 (6.00)
Fever of other and unknown origin4389 (5.20)Fever of other and unknown origin3054 (4.39)
Dizziness and giddiness3052 (3.61)Dizziness and giddiness2740 (3.94)
Open wound of wrist, hand, and fingers2655 (3.14)Open wound of wrist, hand, and fingers2402 (3.45)
Superficial injury of head2339 (2.77)Pain in throat and chest1911 (2.74)
Other and unspecified noninfective gastroenteritis and colitis2269 (2.68)Superficial injury of head1719 (2.47)
Other disorders of urinary system1906 (2.25)Other and unspecified noninfective gastroenteritis and colitis1631 (2.34)
Pain in throat and chest1798 (2.13)Other disorders of urinary system1573 (2.26)
Pneumonia, unspecified organism1746 (2.06)Superficial injury of knee and lower leg1542 (2.21)
Injury of unspecified body region1651 (1.95)Intracranial injury1395 (2.00)

References

  1. Pines, J.M.; Hilton, J.A.; Weber, E.J.; Alkemade, A.J.; Al Shabanah, H.; Anderson, P.D.; Bernhard, M.; Bertini, A.; Gries, A.; Ferrandiz, S.; et al. International perspectives on emergency department crowding. Acad. Emerg. Med. 2011, 18, 1358–1370. [Google Scholar] [CrossRef]
  2. Lee, J.H.; Park, G.J.; Kim, S.C.; Kim, H.; Lee, S.W. Characteristics of frequent adult emergency department users: A Korean tertiary hospital observational study. Medicine 2020, 99, e20123. [Google Scholar] [CrossRef] [PubMed]
  3. Shapiro, J.S.; Johnson, S.A.; Angiollilo, J.; Fleischman, W.; Onyile, A.; Kuperman, G. Health information exchange improves identification of frequent emergency department users. Health Aff. 2013, 32, 2193–2198. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  4. Fuda, K.K.; Immekus, R. Frequent users of Massachusetts emergency departments: A statewide analysis. Ann. Emerg. Med. 2006, 48, 9–16. [Google Scholar] [CrossRef]
  5. Chang, Y.H.; Shih, H.M.; Chen, C.Y.; Chen, W.K.; Huang, F.W.; Muo, C.H. Association of sudden in-hospital cardiac arrest with emergency department crowding. Resuscitation 2019, 138, 106–109. [Google Scholar] [CrossRef]
  6. Chen, C.H.; Hsieh, J.G.; Cheng, S.L.; Lin, Y.L.; Lin, P.H.; Jeng, J.H. Early short-term prediction of emergency department length of stay using natural language processing for low-acuity outpatients. Am. J. Emerg. Med. 2020, 38, 2368–2373. [Google Scholar] [CrossRef]
  7. Afonso, S.; Lopes, S. Differences in Clinical Characteristics and Utilization of Emergency Department by High-Frequency Users. J. Emerg. Med. 2020, 59, 153–160. [Google Scholar] [CrossRef]
  8. Moe, J.; Kirkland, S.; Ospina, M.B.; Campbell, S.; Long, R.; Davidson, A.; Duke, P.; Tamura, T.; Trahan, L.; Rowe, B.H. Mortality, admission rates and outpatient use among frequent users of emergency departments: A systematic review. Emerg. Med. J. 2016, 33, 230–236. [Google Scholar] [CrossRef]
  9. Chan, B.T.; Ovens, H.J. Frequent users of emergency departments. Do they also use family physicians′ services? Can. Fam Physician 2002, 48, 1654–1660. [Google Scholar]
  10. Bieler, G.; Paroz, S.; Faouzi, M.; Trueb, L.; Vaucher, P.; Althaus, F.; Daeppen, J.B.; Bodenmann, P. Social and medical vulnerability factors of emergency department frequent users in a universal health insurance system. Acad. Emerg. Med. 2012, 19, 63–68. [Google Scholar] [CrossRef] [Green Version]
  11. Mandelberg, J.H.; Kuhn, R.E.; Kohn, M.A. Epidemiologic analysis of an urban, public emergency department’s frequent users. Acad. Emerg. Med. 2000, 7, 637–646. [Google Scholar] [CrossRef] [PubMed]
  12. Huang, J.A.; Tsai, W.C.; Chen, Y.C.; Hu, W.H.; Yang, D.Y. Factors associated with frequent use of emergency services in a medical center. J. Med. Assoc. 2003, 102, 222–228. [Google Scholar]
  13. Cherpitel, C.J.; Ye, Y. Drug use and problem drinking associated with primary care and emergency room utilization in the US general population: Data from the 2005 national alcohol survey. Drug Alcohol Depend. 2008, 97, 226–230. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  14. Van den Heede, K.; Van de Voorde, C. Interventions to reduce emergency department utilisation: A review of reviews. Health Policy 2016, 120, 1337–1349. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  15. Moe, J.; Kirkland, S.W.; Rawe, E.; Ospina, M.B.; Vandermeer, B.; Campbell, S.; Rowe, B.H. Effectiveness of interventions to decrease emergency department visits by adult frequent users: A systematic review. Acad. Emerg. Med. 2017, 24, 40–52. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  16. Westgard, B.C.; Morgan, M.W.; Vazquez-Benitez, G.; Erickson, L.O.; Zwank, M.D. An analysis of changes in emergency department visits after a state declaration during the time of COVID-19. Ann. Emerg. Med. 2020, 76, 595–601. [Google Scholar] [CrossRef] [PubMed]
  17. Dopfer, C.; Wetzke, M.; Scharff, A.Z.; Mueller, F.; Dressler, F.; Baumann, U.; Sasse, M.; Hansen, G.; Jablonka, A.; Happle, C. COVID-19 related reduction in pediatric emergency healthcare utilization–a concerning trend. BMC Pediatrics 2020, 20, 1–10. [Google Scholar] [CrossRef]
  18. Pines, J.M.; Asplin, B.R.; Kaji, A.H.; Lowe, R.A.; Magid, D.J.; Raven, M.; Weber, E.J.; Yealy, D.M. Frequent users of emergency department services: Gaps in knowledge and a proposed research agenda. Acad. Emerg. Med. 2011, 18, e64–e69. [Google Scholar] [CrossRef]
  19. Copayments. Available online: https://www.nhi.gov.tw/English/Content_List.aspx?n=E5509C8FE29950EA&topn=1D1ECC54F86E9050 (accessed on 16 March 2021).
  20. Ng, C.J.; Yen, Z.S.; Tsai, J.C.; Chen, L.C.; Lin, S.J.; Sang, Y.Y.; Chen, J.C.; TTAS National Working Group. Validation of the Taiwan triage and acuity scale: A new computerised five-level triage system. Emerg. Med. J. 2011, 28, 1026–1031. [Google Scholar] [CrossRef]
  21. Hunt, K.A.; Weber, E.J.; Showstack, J.A.; Colby, D.C.; Callaham, M.L. Characteristics of frequent users of emergency departments. Ann. Emerg. Med. 2006, 48, 1–8. [Google Scholar] [CrossRef]
  22. Lucero, A.D.; Lee, A.; Hyun, J.; Lee, C.; Kahwaji, C.; Miller, G.; Neeki, M.; Tamayo-Sarver, J.; Pan, L. Underutilization of the Emergency Department During the COVID-19 Pandemic. West. J. Emerg. Med. 2020, 21, 15. [Google Scholar] [CrossRef] [PubMed]
  23. Wang, C.J.; Ng, C.Y.; Brook, R.H. Response to COVID-19 in Taiwan: Big data analytics, new technology, and proactive testing. JAMA 2020, 323, 1341–1342. [Google Scholar] [CrossRef] [PubMed]
  24. Cheng, H.Y.; Li, S.Y.; Yang, C.H. Initial rapid and proactive response for the COVID-19 outbreak—Taiwan′s experience. J. Formos. Med. Assoc. 2020, 119, 771. [Google Scholar] [CrossRef] [PubMed]
  25. Prevention and Control of COVID-19 in Taiwan. Available online: https://www.cdc.gov.tw/En/Bulletin/Detail/UTn3UpemfvRtr3r991m-Hw?typeid=158 (accessed on 30 May 2021).
  26. Boutis, K.; Stephens, D.; Lam, K.; Ungar, W.J.; Schuh, S. The impact of SARS on a tertiary care pediatric emergency department. CMAJ 2004, 171, 1353–1358. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  27. Yen, M.Y.; Schwartz, J.; Chen, S.Y.; King, C.C.; Yang, G.Y.; Hsueh, P.R. Interrupting COVID-19 transmission by implementing enhanced traffic control bundling: Implications for global prevention and control efforts. J. Microbiol. Immunol. Infect. 2020, 53, 377–380. [Google Scholar] [CrossRef] [PubMed]
  28. Dubey, S.; Biswas, P.; Ghosh, R.; Chatterjee, S.; Dubey, M.J.; Chatterjee, S.; Lahiri, D.; Lavie, C.J. Psychosocial impact of COVID-19. Diabetes Metab. Syndr. 2020, 14, 779–788. [Google Scholar] [CrossRef] [PubMed]
  29. Pfefferbaum, B.; North, C.S. Mental health and the Covid-19 pandemic. N. Engl. J. Med. 2020, 383, 510–512. [Google Scholar] [CrossRef] [PubMed]
  30. Qiu, J.; Shen, B.; Zhao, M.; Wang, Z.; Xie, B.; Xu, Y. A nationwide survey of psychological distress among Chinese people in the COVID-19 epidemic: Implications and policy recommendations. Gen. Psychiatry 2020, 33, e100213. [Google Scholar] [CrossRef] [PubMed] [Green Version]
Figure 1. Flow chart of the patient selection process.
Figure 1. Flow chart of the patient selection process.
Ijerph 18 06351 g001
Figure 2. Trend of monthly emergency department visits before and during the COVID-19 pandemic.
Figure 2. Trend of monthly emergency department visits before and during the COVID-19 pandemic.
Ijerph 18 06351 g002
Table 1. Characteristics of ED patients before (February 2019–January 2020) and during COVID-19 pandemic (February 2020–January 2021) (n = 132,434).
Table 1. Characteristics of ED patients before (February 2019–January 2020) and during COVID-19 pandemic (February 2020–January 2021) (n = 132,434).
Frequent ED Users p-ValueOccasional ED Usersp-Value
n (%)BeforeDuring BeforeDuring
Total2386 (3.3)1853 (3.1) 70,026 (96.7)58,169 (96.9)0.032
Sex
Male1276 (53.5)1016 (54.8)0.38133,932 (48.5)28,938 (49.8)<0.0001
Female1110 (46.5)837 (45.2) 36,094 (51.5)29,231 (50.2)
Age, y (Mean ± SD)65.3 ± 20.765.0 ± 20.70.60550.0 ± 21.049.9 ± 21.30.347
18–34249 (10.4)199 (10.7)0.24720,979 (30.0)18,233 (31.3)<0.0001
35–49325 (13.6)252 (13.6) 14,836 (21.2)11,877 (20.4)
50–64487 (20.4)365 (19.7) 14,818 (21.2)11,631 (20.0)
65–79556 (23.3)483 (26.1) 11,906 (17.0)9788 (16.8)
>80769 (32.2)554 (29.9) 7487 (10.7)6640 (11.4)
Copayment exemptions
Yes852 (35.7)696 (37.6)0.2147977 (11.4)7000 (12.0)<0.0001
No1534 (64.3)1157 (62.4) 62,049 (88.6)51,169 (88.0)
ED, Emergency Department.
Table 2. Characteristics of ED visits before (February 2019–January 2020) and during the COVID-19 pandemic (February 2020–January 2021) (n = 180,310).
Table 2. Characteristics of ED visits before (February 2019–January 2020) and during the COVID-19 pandemic (February 2020–January 2021) (n = 180,310).
Frequent ED Users p-ValueOccasional ED Users p-Value
N(%)BeforeDuring BeforeDuring
Total14,854 (15.0)11,550 (14.2) 84,402 (85.0)69,504 (85.8)
Time of visits
Daytime (8 a.m.–4 p.m.)6534 (44.0)5129 (44.4)0.73734,611 (41.0)28,858 (41.5)0.010
Evening (4 p.m.–0 a.m.)5674 (38.2)4398 (38.1) 35,868 (42.5)29,366 (42.3)
Early morning (0 a.m.–8 a.m.)2646 (17.8)2023 (17.5) 13,923 (16.5)11,280 (16.2)
Disposition
Discharged11,983 (80.7)9246 (80.1)0.20872,265 (85.6)58,763 (84.5)<0.0001
Hospitalization2871 (19.3)2304 (19.9) 12,137 (14.4)10,741 (15.5)
Triage status
1 (high)379 (2.5)309 (2.7)0.0061516 (1.8)1472 (2.1)<0.0001
21590 (10.7)1247 (10.8) 6760 (8.0)5401 (7.8)
38034 (54.1)6468 (56.0) 53,529 (63.4)44,505 (64.0)
43945 (26.6)2882 (24.9) 20,551 (24.4)15,559 (22.4)
5 (low)906 (6.1)644 (5.6) 2046 (2.4)2567 (3.7)
Mode of arrival
Ambulatory10,734 (72.3)8712 (75.5)<0.000161,118 (72.4)51,932 (74.8)<0.0001
EMS2560 (17.2)2268 (19.7) 15,397 (18.2)14,127 (20.3)
Referral1560 (10.5)552 (4.8) 7887 (9.3)3381 (4.9)
Cancer 0.150 0.300
No2232 (93.6)1753 (94.6) 69,412 (99.1)57,627 (99.1)
Yes154 (6.4)100 (5.4) 614 (0.9)542 (0.9)
Over 24-h LOS 2259 (15.2)1831 (15.9)0.15112,908 (15.3)11,156 (16.1)<0.0001
Length of stay (minutes) (Mean ± SD)233.9 ± 366.1212.5 ± 320.5<0.0001156.7 ± 268.3154.4 ± 239.70.068
Medical expenses* (USD) (Mean ± SD)108.4 ± 109.7117.6 ± 111.0<0.0001102.1 ± 115.9113.8 ± 110.0<0.0001
Chest X-ray5768 (38.8)4628 (40.1)0.04128,332 (33.6)26,670 (38.4)<0.0001
Chest CT examination72 (0.5)120 (1.0)<0.0001513 (0.6)806 (1.2)<0.0001
ED, emergency department; EMS, emergency medical services; LOS, length of stay. * Medical expenses are presented in US dollars. (US dollars: NT dollars = 1:28.14). 12 March 2021.
Table 3. Factors associated with frequent ED users before (February 2019–January 2020) and during the COVID-19 pandemic (February 2020–January 2021).
Table 3. Factors associated with frequent ED users before (February 2019–January 2020) and during the COVID-19 pandemic (February 2020–January 2021).
Before the COVID-19 PandemicDuring the COVID-19 Pandemic
Independent VariablesAdjusted OR (95% CI)p-ValueIndependent VariablesAdjusted OR (95% CI)p-Value
Age ≥ 652.94 (2.48–3.48)<0.0001Age ≥ 652.89 (2.38–3.50)<0.0001
Time of visits, evening (1600–2400)0.80 (0.68–0.95)0.009Time of visits, early morning (0000–0800)1.38 (1.08–1.77)0.011
Mode of arrival, EMS0.56 (0.43–0.72)<0.0001Mode of arrival, EMS0.73 (0.56–0.95)0.019
Copayment exemptions3.94 (3.31–4.68)<0.0001Copayment exemptions3.76 (3.10–4.56)<0.0001
Primary diagnosis in the ED Triage status, 4–51.63 (1.15–2.31)0.006
Other anemias4.55 (2.54–8.16)<0.0001Primary diagnosis in the ED
Retention of urine3.26 (1.69–6.28)<0.0001Dizziness and giddiness2.88 (1.84–4.52)<0.0001
Pain in throat and chest1.88 (1.13-3.12)0.015Other anemias5.14 (3.16–8.37)<0.0001
Dizziness and giddiness1.67 (1.01–2.77)0.047Dyspnea1.83 (0.99–3.37)0.053
Comorbidity of cancer5.69 (3.81–8.50)<0.0001Retention of urine5.56 (3.05–10.1)<0.0001
Pneumonia, unspecified organism1.88 (1.09–3.24)0.023
Chronic kidney disease5.07 (2.66–9.69)<0.0001
Comorbidity of cancer3.41 (2.05–5.58)<0.0001
ED, emergency department; CI, confidence interval; OR, odds ratio. Adjusted for age, sex, time of visits, triage status, mode of arrival, copayment exemptions, and the most frequent primary diagnoses among ED users before and during the COVID-19 pandemic.
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Share and Cite

MDPI and ACS Style

Chou, Y.-C.; Yen, Y.-F.; Chu, D.; Hu, H.-Y. Impact of the COVID-19 Pandemic on Healthcare-Seeking Behaviors among Frequent Emergency Department Users: A Cohort Study. Int. J. Environ. Res. Public Health 2021, 18, 6351. https://0-doi-org.brum.beds.ac.uk/10.3390/ijerph18126351

AMA Style

Chou Y-C, Yen Y-F, Chu D, Hu H-Y. Impact of the COVID-19 Pandemic on Healthcare-Seeking Behaviors among Frequent Emergency Department Users: A Cohort Study. International Journal of Environmental Research and Public Health. 2021; 18(12):6351. https://0-doi-org.brum.beds.ac.uk/10.3390/ijerph18126351

Chicago/Turabian Style

Chou, Yi-Chang, Yung-Feng Yen, Dachen Chu, and Hsiao-Yun Hu. 2021. "Impact of the COVID-19 Pandemic on Healthcare-Seeking Behaviors among Frequent Emergency Department Users: A Cohort Study" International Journal of Environmental Research and Public Health 18, no. 12: 6351. https://0-doi-org.brum.beds.ac.uk/10.3390/ijerph18126351

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop