Kee Liem Terence Chong, Jia Min Laura Tan, Hui Cheng Tan, Kuhan Venugopal, Jen Heng Pek, Yee Lyn Corinne Lau
{"title":"Impact of boarders in the emergency department.","authors":"Kee Liem Terence Chong, Jia Min Laura Tan, Hui Cheng Tan, Kuhan Venugopal, Jen Heng Pek, Yee Lyn Corinne Lau","doi":"10.4103/singaporemedj.SMJ-2024-184","DOIUrl":null,"url":null,"abstract":"<p><strong>Introduction: </strong>Boarders refer to patients who have been admitted to the hospital but remain in the emergency department (ED) while waiting for an available inpatient bed. We aimed to examine the correlations between the number of boarders and outcome measures, including effectiveness of patient care, patient safety, efficiency of patient care, patient experience and staff well-being in the ED.</p><p><strong>Methods: </strong>A retrospective study was carried out. Correlations between the number of boarders and outcome measures were assessed using Pearson's correlation (r) or Spearman's rho (ρ).</p><p><strong>Results: </strong>The average number of boarders correlated strongly with these outcomes: wait times for triage (r = 0.883, P < 0.001); consult among P2 (urgent) (r = 0.829, P < 0.001) and P3 (ambulatory) patients (r = 0.825, P < 0.001); urinary test (r = 0.562, P < 0.001) and computed tomography (r = 0.733, P < 0.001); time taken for administration of analgesia (r = 0.960, P < 0.001), antibiotics (r = 0.828, P < 0.001) and intravenous fluids (r = 0.872, P < 0.001); and the length of stay for admitted patients (r = 0.995, P < 0.001) and discharged patients (r = 0.797, P < 0.001). Additionally, medical errors (ρ = 0.646, P < 0.001), compliments (ρ = 0.520, P = 0.006), patients who were triaged but did not go through consult (ρ = 0.848, P < 0.001), as well as medical leave taken by doctors (r = 0.626, P = 0.001) and nurses (r = 0.815, P < 0.001) strongly correlated with the average number of boarders in the ED.</p><p><strong>Conclusion: </strong>Boarders lead to insufficient space and inefficient work processes, which compromise the delivery of emergency care in a timely and safe manner for patients in EDs.</p>","PeriodicalId":94289,"journal":{"name":"Singapore medical journal","volume":" ","pages":""},"PeriodicalIF":1.9000,"publicationDate":"2025-10-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Singapore medical journal","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.4103/singaporemedj.SMJ-2024-184","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Introduction: Boarders refer to patients who have been admitted to the hospital but remain in the emergency department (ED) while waiting for an available inpatient bed. We aimed to examine the correlations between the number of boarders and outcome measures, including effectiveness of patient care, patient safety, efficiency of patient care, patient experience and staff well-being in the ED.
Methods: A retrospective study was carried out. Correlations between the number of boarders and outcome measures were assessed using Pearson's correlation (r) or Spearman's rho (ρ).
Results: The average number of boarders correlated strongly with these outcomes: wait times for triage (r = 0.883, P < 0.001); consult among P2 (urgent) (r = 0.829, P < 0.001) and P3 (ambulatory) patients (r = 0.825, P < 0.001); urinary test (r = 0.562, P < 0.001) and computed tomography (r = 0.733, P < 0.001); time taken for administration of analgesia (r = 0.960, P < 0.001), antibiotics (r = 0.828, P < 0.001) and intravenous fluids (r = 0.872, P < 0.001); and the length of stay for admitted patients (r = 0.995, P < 0.001) and discharged patients (r = 0.797, P < 0.001). Additionally, medical errors (ρ = 0.646, P < 0.001), compliments (ρ = 0.520, P = 0.006), patients who were triaged but did not go through consult (ρ = 0.848, P < 0.001), as well as medical leave taken by doctors (r = 0.626, P = 0.001) and nurses (r = 0.815, P < 0.001) strongly correlated with the average number of boarders in the ED.
Conclusion: Boarders lead to insufficient space and inefficient work processes, which compromise the delivery of emergency care in a timely and safe manner for patients in EDs.