| Literature DB >> 32104606 |
Yuri Choi1,2, Jinwoo Jeong1, Byoung-Gwon Kim3.
Abstract
BACKGROUND: Emergency department (ED) overcrowding is a worldwide problem that poses a threat to patient safety by causing treatment delays and increasing mortality. Consultations are common and important in the emergency medicine profession and are associated with longer ED length of stay (LOS). The purpose of this study was to evaluate the impact of admission decisions by emergency physicians without consultations on the ED LOS and other quality indicators.Entities:
Year: 2020 PMID: 32104606 PMCID: PMC7036127 DOI: 10.1155/2020/8392832
Source DB: PubMed Journal: Emerg Med Int ISSN: 2090-2840 Impact factor: 1.112
Characteristics of the patients who visited the emergency department.
| January–June 2016 | January–June 2017 |
| |
|---|---|---|---|
| General demographics | |||
|
| 15,326 | 15,031 | |
|
| 8,325 (54.3) | 8,213 (54.6) | 0.575 |
|
| 53 (28–68) | 55 (32–69) | <0.001 |
| Time to the first CPOE (minutes) | 16.5 (8.8–28.9) | 10.8 (5.3–20.2) | <0.001 |
| Acuity and severity | |||
|
| 3 (3–4) | 4 (3–4) | <0.001 |
|
| 86 (0.6) | 146 (1.0) | |
|
| 1,345 (8.8) | 1,283 (8.5) | |
|
| 6,800 (44.4) | 5,612 (37.3) | |
|
| 6,303 (41.1) | 6,697 (44.6) | |
|
| 649 (4.2) | 1,152 (7.7) | |
|
| 143 (0.9) | 141 (0.9) | |
|
| 5,957 (38.9) | 6,432 (42.8) | <0.001 |
|
| 1,010 (16.9) | 1,229 (19.0) | 0.002 |
|
| 11.0 (7.0–18.0) | 12.0 (7.0–18.0) | 0.095 |
| ED workforce and timeliness | |||
|
| 5 | 6 | |
|
| 7 | 6 | |
|
| 5 | 5 |
ED: emergency department; CPOE: computerized physician order entry; KTAS: Korean Triage and Acuity Scale; APACHE: Acute Physiology and Chronic Health Evaluation Score; ICU: intensive care unit; LOS: length of stay. The data are represented by numbers (percentages) or medians (interquartile ranges), and the chi-squared test and the Wilcoxon's rank sum test were used to obtain the P values for the changes in the numbers and medians, respectively.
Characteristics of the patients admitted to the medical department.
| January–June 2016 | January–June 2017 |
| |
|---|---|---|---|
| General demographics | |||
|
| 2,865 | 3,405 | |
|
| 1,598 (55.8) | 1,883 (55.3) | 0.706 |
|
| 66 (55–76) | 68 (56–77) | <0.001 |
| Acuity and severity | |||
|
| 3 (3–4) | 3 (3–4) | 0.694 |
|
| 8 (0.3) | 26 (0.8) | |
|
| 413 (14.4) | 484 (14.2) | |
|
| 1,670 (58.3) | 1,991 (58.5) | |
|
| 712 (24.9) | 811 (23.8) | |
|
| 62 (2.3) | 91 (2.7) | |
|
| 0 (0.0) | 2 (0.1) | |
|
| 359 (12.5) | 446 (13.1) | 0.503 |
|
| 15.0 (10.5–21.0) | 15.0 (10.8–20.0) | 0.755 |
| Primary outcome | |||
|
| 673 (347–1,369) | 237 (166–364) | <0.001 |
| Treatment quality variables | |||
|
| 8 (5–14) | 8 (5–14) | <0.001 |
|
| 185 (6.5) | 254 (7.5) | 0.121 |
|
| 201 (7.0) | 242 (7.1) | 0.888 |
ED: emergency department; KTAS: Korean Triage and Acuity Scale; APACHE: Acute Physiology and Chronic Health Evaluation Score; ICU: intensive care unit; LOS: length of stay. The data are represented by numbers (percentages) or medians (interquartile ranges), and the chi-squared test and the Wilcoxon's rank sum test were used to obtain the P values for the changes in the numbers and medians, respectively.
Figure 1Emergency department length of stay of the patients admitted to the internal medicine department. The preperiod corresponds to January to June 2016, and the postperiod corresponds to January to June 2017. The central line indicates the median, the box represents the IQR, the whiskers extend to 1.5 times the IQR, and the point characters represent the outliers located beyond the whiskers. ED LOS: emergency department length of stay; IQR: interquartile range.
Figure 2Trend in the emergency department length of stay of the patients admitted to the internal medicine department during the study period. ED LOS: emergency department length of stay.