scholarly journals Patients Prefer Boarding in Inpatient Hallways: Correlation with the National Emergency Department Overcrowding Score

2011 ◽  
Vol 2011 ◽  
pp. 1-4 ◽  
Author(s):  
John R. Richards ◽  
Gal Ozery ◽  
Mark Notash ◽  
Peter E. Sokolove ◽  
Robert W. Derlet ◽  
...  

Objective. The boarding of patients in Emergency Department (ED) hallways when no inpatient beds are available is a major cause of ED crowding. One solution is to board admitted patients in an inpatient rather than ED hallway. We surveyed patients to determine their preference and correlated their responses to real-time National Emergency Department Overcrowding Score (NEDOCS).Methods. This was a survey of admitted patients in the ED of an urban university level I trauma center serving a community of 5 million about their personal preferences regarding boarding. Real-time NEDOCS was calculated at the time each survey was conducted.Results. 99 total surveys were completed during October 2010, 42 (42%) patients preferred to be boarded in an inpatient hallway, 33 (33%) preferred the ED hallway, and 24 (24%) had no preference. Mean (±SD) NEDOCS (range 0–200) was for patients preferring inpatient boarding, for ED boarding, and without preference. Male patients preferred inpatient hallway boarding significantly more than females. Preference for inpatient boarding was associated with a significantly higher NEDOCS.Conclusions. In this survey study, patients prefer inpatient hallway boarding when the hospital is at or above capacity. Males prefer inpatient hallway boarding more than females. The preference for inpatient hallway boarding increases as the ED becomes more crowded.

2021 ◽  
Vol 7 (1) ◽  
pp. 41-50
Author(s):  
Rosmini Rasimin ◽  
Yuliana Syam ◽  
Rosyidah Arafat ◽  
Sintawati Majid

Latar Belakang: Unit gawat darurat (ED) sebagai pintu gerbang penanganan awal pasien dengan kegawatdarutatan berisiko mengalami Kepadatan. Tujuan  literature review ini adalah untuk mencari strategi yang tepat untuk mengatasi kepadatan di ED. Metode yang digunakan  yaitu pencarian pada electronic database seperti Pubmed, DOAJ, dan google scholar, menggunakan kata kunci Crowding AND Emergency Department, awal ditemukan 1160 artikel,15 artikel dimasukkan setelah melalui proses screening. Hasil review menyajikan penyebab kepadatan di ED, alat ukur, efek yang ditimbulkan, dan srategi penaganan kepadatan di ED. Kesimpulan, lama tinggal dan keterlambatan pemeriksaan penunjang mempengaruhi kepadatan, system informasi serta pengelompokan pasien dapat menurunkan kepadatan, National Emergency Department Overcrowding Scale (NEDOCS) direkomendasikan untuk mengukur skala kepadatan di ED.


2020 ◽  
pp. emermed-2019-208836
Author(s):  
Duncan Hargreaves ◽  
Sophie Snel ◽  
Colin Dewar ◽  
Khushal Arjan ◽  
Piervirgilio Parrella ◽  
...  

IntroductionEmergency department (ED) crowding has significant adverse consequences, however, there is no widely accepted tool to measure it. This study validated the National Emergency Department Overcrowding score (NEDOCS) (range 0–200 points), which uses routinely collected ED data.MethodsThis prospective single-centre study sampled data during four periods of 2018. The outcome against which NEDOCS performance was assessed was a composite of clinician opinion of crowding (physician and nurse in charge). Area under thereceiver operating characteristic curves (AUROCs) and calibration plots were produced. Six-hour stratified sampling was added to adjust for temporal correlation of clinician opinion. Staff inter-rater agreement and NEDOCS association with opinion of risk, safety and staffing levels were collected.ResultsFrom 905 sampled hours, 448 paired observations were obtained, with the ED deemed crowded 18.5% of the time. Inter-rater agreement between staff was moderate (weighted kappa 0.57 (95% CI 0.56 to 0.60)). AUROC for NEDOCS was 0.81 (95% CI 0.77 to 0.86). Adjusted for temporal correlation, AUROC was 0.80 (95% CI 0.73 to 0.88). At a cut-off of 100 points sensitivity was 75.9% (95% CI 65.3% to 84.6%), specificity 72.1% (95% CI 67.1% to 76.6%), positive predictive value 38.2% (95% CI 30.7% to 46.1%) and negative predictive value 92.9% (95% CI 89.3% to 95.6%). NEDOCS underpredicted clinical opinion on Calibration assessment, only partially correcting with intercept updating. For perceived risk of harm, safety and insufficient staffing, NEDOCS AUROCs were 0.71 (95% CI 0.61 to 0.82), 0.71 (95% CI 0.63 to 0.80) and 0.70 (95% CI 0.64 to 0.76), respectively.ConclusionsNEDOCS demonstrated good discriminatory power for clinical perception of crowding. Prior to implementation, determining individual unit ED cut-off point(s) would be important as published thresholds may not be generalisable. Future studies could explore refinement of existing variables or addition of new variables, including acute physiological data, which may improve performance.


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