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Forecast modeling to identify changes in pediatric emergency department utilization during the COVID-19 pandemic
To identify trends in pediatric emergency department (ED) utilization following the COVID-19 pandemic. We performed a cross-sectional study from 37 geographically diverse US children's hospitals. We included ED encounters between January 1, 2010 and December 31, 2020, transformed into time-seri...
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Published in: | The American journal of emergency medicine 2021-11, Vol.49, p.142-147 |
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description | To identify trends in pediatric emergency department (ED) utilization following the COVID-19 pandemic.
We performed a cross-sectional study from 37 geographically diverse US children's hospitals. We included ED encounters between January 1, 2010 and December 31, 2020, transformed into time-series data. We constructed ensemble forecasting models of the most common presenting diagnoses and the most common diagnoses leading to admission, using data from 2010 through 2019. We then compared the most common presenting diagnoses and the most common diagnoses leading to admission in 2020 to the forecasts.
29,787,815 encounters were included, of which 1,913,085 (6.4%) occurred during 2020. ED encounters during 2020 were lower compared to prior years, with a 65.1% decrease in April relative to 2010–2019. In forecasting models, encounters for depression and diabetic ketoacidosis remained within the 95% confidence interval [CI]; fever, bronchiolitis, hyperbilirubinemia, skin/subcutaneous infections and seizures occurred within the 80–95% CI during the portions of 2020, and all other diagnoses (abdominal pain, otitis media, asthma, pneumonia, trauma, upper respiratory tract infections, and urinary tract infections) occurred below the predicted 95% CI.
Pediatric ED utilization has remained low following the COVID-19 pandemic, and below forecasted utilization for most diagnoses. Nearly all conditions demonstrated substantial declines below forecasted rates from the prior decade and which persisted through the end of the year. Some declines in non-communicable diseases may represent unmet healthcare needs among children. Further study is warranted to understand the impact of policies aimed at curbing pandemic disease on children. |
doi_str_mv | 10.1016/j.ajem.2021.05.047 |
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We performed a cross-sectional study from 37 geographically diverse US children's hospitals. We included ED encounters between January 1, 2010 and December 31, 2020, transformed into time-series data. We constructed ensemble forecasting models of the most common presenting diagnoses and the most common diagnoses leading to admission, using data from 2010 through 2019. We then compared the most common presenting diagnoses and the most common diagnoses leading to admission in 2020 to the forecasts.
29,787,815 encounters were included, of which 1,913,085 (6.4%) occurred during 2020. ED encounters during 2020 were lower compared to prior years, with a 65.1% decrease in April relative to 2010–2019. In forecasting models, encounters for depression and diabetic ketoacidosis remained within the 95% confidence interval [CI]; fever, bronchiolitis, hyperbilirubinemia, skin/subcutaneous infections and seizures occurred within the 80–95% CI during the portions of 2020, and all other diagnoses (abdominal pain, otitis media, asthma, pneumonia, trauma, upper respiratory tract infections, and urinary tract infections) occurred below the predicted 95% CI.
Pediatric ED utilization has remained low following the COVID-19 pandemic, and below forecasted utilization for most diagnoses. Nearly all conditions demonstrated substantial declines below forecasted rates from the prior decade and which persisted through the end of the year. Some declines in non-communicable diseases may represent unmet healthcare needs among children. Further study is warranted to understand the impact of policies aimed at curbing pandemic disease on children.</description><identifier>ISSN: 0735-6757</identifier><identifier>EISSN: 1532-8171</identifier><identifier>DOI: 10.1016/j.ajem.2021.05.047</identifier><identifier>PMID: 34111834</identifier><language>eng</language><publisher>United States: Elsevier Inc</publisher><subject>Abdomen ; Asthma ; Bronchopneumonia ; Child ; Child, Preschool ; Children ; Children & youth ; Coronaviruses ; COVID-19 ; Cross-Sectional Studies ; Delivery of health care ; Delivery of Health Care - organization & administration ; Diabetes mellitus ; Diabetic ketoacidosis ; Ear diseases ; Emergency medical care ; Emergency service ; Emergency Service, Hospital - statistics & numerical data ; Facilities and Services Utilization - statistics & numerical data ; Female ; Fever ; Forecasting ; Health services utilization ; Hospital ; Hospitalization - statistics & numerical data ; Hospitals ; Humans ; Hyperbilirubinemia ; Infant ; Investigations ; Ketoacidosis ; Male ; Models, Organizational ; Mortality ; Otitis media ; Pain ; Pandemics ; Patient admissions ; Pediatric ; Pediatrics ; Pneumonia ; Public health ; Respiratory tract ; Respiratory tract diseases ; Seasonal variations ; Seizures ; Severe acute respiratory syndrome coronavirus 2 ; Time series ; Trauma ; Trends ; United States ; Urinary tract ; Urinary tract infections ; Urogenital system</subject><ispartof>The American journal of emergency medicine, 2021-11, Vol.49, p.142-147</ispartof><rights>2021 Elsevier Inc.</rights><rights>Copyright © 2021 Elsevier Inc. All rights reserved.</rights><rights>2021. Elsevier Inc.</rights><rights>2021 Elsevier Inc. All rights reserved. 2021 Elsevier Inc.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c483t-3805c95e25549352bb0aabe4fca20b6ddbb19d9eb669bfea31dfca863fbae4563</citedby><cites>FETCH-LOGICAL-c483t-3805c95e25549352bb0aabe4fca20b6ddbb19d9eb669bfea31dfca863fbae4563</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>230,314,780,784,885,27924,27925</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/34111834$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Ramgopal, Sriram</creatorcontrib><creatorcontrib>Pelletier, Jonathan H.</creatorcontrib><creatorcontrib>Rakkar, Jaskaran</creatorcontrib><creatorcontrib>Horvat, Christopher M.</creatorcontrib><title>Forecast modeling to identify changes in pediatric emergency department utilization during the COVID-19 pandemic</title><title>The American journal of emergency medicine</title><addtitle>Am J Emerg Med</addtitle><description>To identify trends in pediatric emergency department (ED) utilization following the COVID-19 pandemic.
We performed a cross-sectional study from 37 geographically diverse US children's hospitals. We included ED encounters between January 1, 2010 and December 31, 2020, transformed into time-series data. We constructed ensemble forecasting models of the most common presenting diagnoses and the most common diagnoses leading to admission, using data from 2010 through 2019. We then compared the most common presenting diagnoses and the most common diagnoses leading to admission in 2020 to the forecasts.
29,787,815 encounters were included, of which 1,913,085 (6.4%) occurred during 2020. ED encounters during 2020 were lower compared to prior years, with a 65.1% decrease in April relative to 2010–2019. In forecasting models, encounters for depression and diabetic ketoacidosis remained within the 95% confidence interval [CI]; fever, bronchiolitis, hyperbilirubinemia, skin/subcutaneous infections and seizures occurred within the 80–95% CI during the portions of 2020, and all other diagnoses (abdominal pain, otitis media, asthma, pneumonia, trauma, upper respiratory tract infections, and urinary tract infections) occurred below the predicted 95% CI.
Pediatric ED utilization has remained low following the COVID-19 pandemic, and below forecasted utilization for most diagnoses. Nearly all conditions demonstrated substantial declines below forecasted rates from the prior decade and which persisted through the end of the year. Some declines in non-communicable diseases may represent unmet healthcare needs among children. Further study is warranted to understand the impact of policies aimed at curbing pandemic disease on children.</description><subject>Abdomen</subject><subject>Asthma</subject><subject>Bronchopneumonia</subject><subject>Child</subject><subject>Child, Preschool</subject><subject>Children</subject><subject>Children & youth</subject><subject>Coronaviruses</subject><subject>COVID-19</subject><subject>Cross-Sectional Studies</subject><subject>Delivery of health care</subject><subject>Delivery of Health Care - organization & administration</subject><subject>Diabetes mellitus</subject><subject>Diabetic ketoacidosis</subject><subject>Ear diseases</subject><subject>Emergency medical care</subject><subject>Emergency service</subject><subject>Emergency Service, Hospital - statistics & numerical data</subject><subject>Facilities and Services Utilization - statistics & numerical data</subject><subject>Female</subject><subject>Fever</subject><subject>Forecasting</subject><subject>Health services utilization</subject><subject>Hospital</subject><subject>Hospitalization - statistics & numerical data</subject><subject>Hospitals</subject><subject>Humans</subject><subject>Hyperbilirubinemia</subject><subject>Infant</subject><subject>Investigations</subject><subject>Ketoacidosis</subject><subject>Male</subject><subject>Models, Organizational</subject><subject>Mortality</subject><subject>Otitis media</subject><subject>Pain</subject><subject>Pandemics</subject><subject>Patient admissions</subject><subject>Pediatric</subject><subject>Pediatrics</subject><subject>Pneumonia</subject><subject>Public health</subject><subject>Respiratory tract</subject><subject>Respiratory tract diseases</subject><subject>Seasonal variations</subject><subject>Seizures</subject><subject>Severe acute respiratory syndrome coronavirus 2</subject><subject>Time series</subject><subject>Trauma</subject><subject>Trends</subject><subject>United States</subject><subject>Urinary tract</subject><subject>Urinary tract infections</subject><subject>Urogenital system</subject><issn>0735-6757</issn><issn>1532-8171</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><recordid>eNp9kU1v1DAQhi0EotvCH-CALHHhkmDHdj4khFQtLVSq1Atwtfwx2XWU2MFOKi2_Hi9bKuDAaQ7zzKuZeRB6RUlJCa3fDaUaYCorUtGSiJLw5gnaUMGqoqUNfYo2pGGiqBvRnKHzlAZCKOWCP0dnjFNKW8Y3aL4OEYxKC56ChdH5HV4Cdhb84voDNnvld5Cw83gG69QSncEwQdyBNwdsYVZxmTKM18WN7odaXPDYrvFX0B7w9u7bzceCdnhW3sLkzAv0rFdjgpcP9QJ9vb76sv1c3N59utle3haGt2wpWEuE6QRUQvCOiUpropQG3htVEV1bqzXtbAe6rjvdg2LU5lZbs14r4KJmF-jDKXde9QTW5B2jGuUc3aTiQQbl5N8d7_ZyF-5lK4ToGpoD3j4ExPB9hbTIySUD46g8hDXJSnAiaE1JldE3_6BDWKPP52WqbRnteMMyVZ0oE0NKEfrHZSiRR6FykEeh8ihUEiGz0Dz0-s8zHkd-G8zA-xMA-Zn3DqJMxmU52VYWu0gb3P_yfwJyh7R7</recordid><startdate>20211101</startdate><enddate>20211101</enddate><creator>Ramgopal, Sriram</creator><creator>Pelletier, Jonathan H.</creator><creator>Rakkar, Jaskaran</creator><creator>Horvat, Christopher M.</creator><general>Elsevier Inc</general><general>Elsevier Limited</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7RV</scope><scope>7T5</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>8G5</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>GUQSH</scope><scope>H94</scope><scope>K9.</scope><scope>KB0</scope><scope>M0S</scope><scope>M1P</scope><scope>M2O</scope><scope>MBDVC</scope><scope>NAPCQ</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>Q9U</scope><scope>7X8</scope><scope>5PM</scope></search><sort><creationdate>20211101</creationdate><title>Forecast modeling to identify changes in pediatric emergency department utilization during the COVID-19 pandemic</title><author>Ramgopal, Sriram ; Pelletier, Jonathan H. ; Rakkar, Jaskaran ; Horvat, Christopher M.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c483t-3805c95e25549352bb0aabe4fca20b6ddbb19d9eb669bfea31dfca863fbae4563</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Abdomen</topic><topic>Asthma</topic><topic>Bronchopneumonia</topic><topic>Child</topic><topic>Child, Preschool</topic><topic>Children</topic><topic>Children & youth</topic><topic>Coronaviruses</topic><topic>COVID-19</topic><topic>Cross-Sectional Studies</topic><topic>Delivery of health care</topic><topic>Delivery of Health Care - organization & administration</topic><topic>Diabetes mellitus</topic><topic>Diabetic ketoacidosis</topic><topic>Ear diseases</topic><topic>Emergency medical care</topic><topic>Emergency service</topic><topic>Emergency Service, Hospital - statistics & numerical data</topic><topic>Facilities and Services Utilization - statistics & numerical data</topic><topic>Female</topic><topic>Fever</topic><topic>Forecasting</topic><topic>Health services utilization</topic><topic>Hospital</topic><topic>Hospitalization - statistics & numerical data</topic><topic>Hospitals</topic><topic>Humans</topic><topic>Hyperbilirubinemia</topic><topic>Infant</topic><topic>Investigations</topic><topic>Ketoacidosis</topic><topic>Male</topic><topic>Models, Organizational</topic><topic>Mortality</topic><topic>Otitis media</topic><topic>Pain</topic><topic>Pandemics</topic><topic>Patient admissions</topic><topic>Pediatric</topic><topic>Pediatrics</topic><topic>Pneumonia</topic><topic>Public health</topic><topic>Respiratory tract</topic><topic>Respiratory tract diseases</topic><topic>Seasonal variations</topic><topic>Seizures</topic><topic>Severe acute respiratory syndrome coronavirus 2</topic><topic>Time series</topic><topic>Trauma</topic><topic>Trends</topic><topic>United States</topic><topic>Urinary tract</topic><topic>Urinary tract infections</topic><topic>Urogenital system</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Ramgopal, Sriram</creatorcontrib><creatorcontrib>Pelletier, Jonathan H.</creatorcontrib><creatorcontrib>Rakkar, Jaskaran</creatorcontrib><creatorcontrib>Horvat, Christopher M.</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Nursing & Allied Health Database</collection><collection>Immunology Abstracts</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Research Library (Alumni Edition)</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest Central</collection><collection>ProQuest Central Essentials</collection><collection>AUTh Library subscriptions: ProQuest Central</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>Research Library Prep</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Nursing & Allied Health Database (Alumni Edition)</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>PML(ProQuest Medical Library)</collection><collection>Research Library</collection><collection>Research Library (Corporate)</collection><collection>Nursing & Allied Health Premium</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central Basic</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>The American journal of emergency medicine</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Ramgopal, Sriram</au><au>Pelletier, Jonathan H.</au><au>Rakkar, Jaskaran</au><au>Horvat, Christopher M.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Forecast modeling to identify changes in pediatric emergency department utilization during the COVID-19 pandemic</atitle><jtitle>The American journal of emergency medicine</jtitle><addtitle>Am J Emerg Med</addtitle><date>2021-11-01</date><risdate>2021</risdate><volume>49</volume><spage>142</spage><epage>147</epage><pages>142-147</pages><issn>0735-6757</issn><eissn>1532-8171</eissn><abstract>To identify trends in pediatric emergency department (ED) utilization following the COVID-19 pandemic.
We performed a cross-sectional study from 37 geographically diverse US children's hospitals. We included ED encounters between January 1, 2010 and December 31, 2020, transformed into time-series data. We constructed ensemble forecasting models of the most common presenting diagnoses and the most common diagnoses leading to admission, using data from 2010 through 2019. We then compared the most common presenting diagnoses and the most common diagnoses leading to admission in 2020 to the forecasts.
29,787,815 encounters were included, of which 1,913,085 (6.4%) occurred during 2020. ED encounters during 2020 were lower compared to prior years, with a 65.1% decrease in April relative to 2010–2019. In forecasting models, encounters for depression and diabetic ketoacidosis remained within the 95% confidence interval [CI]; fever, bronchiolitis, hyperbilirubinemia, skin/subcutaneous infections and seizures occurred within the 80–95% CI during the portions of 2020, and all other diagnoses (abdominal pain, otitis media, asthma, pneumonia, trauma, upper respiratory tract infections, and urinary tract infections) occurred below the predicted 95% CI.
Pediatric ED utilization has remained low following the COVID-19 pandemic, and below forecasted utilization for most diagnoses. Nearly all conditions demonstrated substantial declines below forecasted rates from the prior decade and which persisted through the end of the year. Some declines in non-communicable diseases may represent unmet healthcare needs among children. Further study is warranted to understand the impact of policies aimed at curbing pandemic disease on children.</abstract><cop>United States</cop><pub>Elsevier Inc</pub><pmid>34111834</pmid><doi>10.1016/j.ajem.2021.05.047</doi><tpages>6</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Abdomen Asthma Bronchopneumonia Child Child, Preschool Children Children & youth Coronaviruses COVID-19 Cross-Sectional Studies Delivery of health care Delivery of Health Care - organization & administration Diabetes mellitus Diabetic ketoacidosis Ear diseases Emergency medical care Emergency service Emergency Service, Hospital - statistics & numerical data Facilities and Services Utilization - statistics & numerical data Female Fever Forecasting Health services utilization Hospital Hospitalization - statistics & numerical data Hospitals Humans Hyperbilirubinemia Infant Investigations Ketoacidosis Male Models, Organizational Mortality Otitis media Pain Pandemics Patient admissions Pediatric Pediatrics Pneumonia Public health Respiratory tract Respiratory tract diseases Seasonal variations Seizures Severe acute respiratory syndrome coronavirus 2 Time series Trauma Trends United States Urinary tract Urinary tract infections Urogenital system |
title | Forecast modeling to identify changes in pediatric emergency department utilization during the COVID-19 pandemic |
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