Performance of patient acuity rating by rapid response team nurses for predicting short-term prognosis.
BACKGROUND:Although scoring and machine learning methods have been developed to predict patient deterioration, bedside assessment by nurses should not be overlooked. This study aimed to evaluate the performance of subjective bedside assessment of the patient by the rapid response team (RRT) nurses i...
| Main Authors: | , , , , , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
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Public Library of Science (PLoS)
2019-01-01
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| Series: | PLoS ONE |
| Online Access: | https://doi.org/10.1371/journal.pone.0225229 |
| _version_ | 1819123715285188608 |
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| author | Hyung-Jun Kim Hyun-Ju Min Dong-Seon Lee Yun-Young Choi Miae Yoon Da-Yun Lee In-Ae Song Jun Yeun Cho Jong Sun Park Young-Jae Cho You-Hwan Jo Ho Il Yoon Jae Ho Lee Choon-Taek Lee Yeon Joo Lee |
| author_facet | Hyung-Jun Kim Hyun-Ju Min Dong-Seon Lee Yun-Young Choi Miae Yoon Da-Yun Lee In-Ae Song Jun Yeun Cho Jong Sun Park Young-Jae Cho You-Hwan Jo Ho Il Yoon Jae Ho Lee Choon-Taek Lee Yeon Joo Lee |
| author_sort | Hyung-Jun Kim |
| collection | DOAJ |
| description | BACKGROUND:Although scoring and machine learning methods have been developed to predict patient deterioration, bedside assessment by nurses should not be overlooked. This study aimed to evaluate the performance of subjective bedside assessment of the patient by the rapid response team (RRT) nurses in predicting short-term patient deterioration. METHODS:Patients noticed by RRT nurses based on the vital sign instability, abnormal laboratory results, and direct contact via phone between November 1, 2016, and December 12, 2017, were included. Five RRT nurses visited the patients according to their shifts and assessed the possibility of patient deterioration. Patient acuity rating (PAR), a scale of 1-7, was used as the tool of bedside assessment. Other scores, including the modified early warning score, VitalPAC early warning score, standardised early warning score, and cardiac arrest risk triage, were calculated afterwards. The performance of these scores in predicting mortality and/or intensive care unit admission within 1 day was compared by calculating the area under the receiver operating curve. RESULTS:A total of 1,426 patients were included in the study, of which 258 (18.1%) died or were admitted to the intensive care unit within 1 day. The area under the receiver operating curve of PAR was 0.87 (95% confidence interval [CI] 0.84-0.89), which was higher than those of modified early warning score (0.66, 95% CI 0.62-0.70), VitalPAC early warning score (0.69, 95% CI 0.66-0.73), standardised early warning score (0.67, 95% CI 0.63-0.70) and cardiac arrest risk triage (0.63, 95% CI 0.59-0.66) (P<0.001). CONCLUSIONS:PAR assessed by RRT nurses can be a useful tool for assessing short-term patient prognosis in the RRT setting. |
| first_indexed | 2024-12-22T07:12:45Z |
| format | Article |
| id | doaj.art-4ff301ee740b4425bde625d0217858f1 |
| institution | Directory Open Access Journal |
| issn | 1932-6203 |
| language | English |
| last_indexed | 2024-12-22T07:12:45Z |
| publishDate | 2019-01-01 |
| publisher | Public Library of Science (PLoS) |
| record_format | Article |
| series | PLoS ONE |
| spelling | doaj.art-4ff301ee740b4425bde625d0217858f12022-12-21T18:34:27ZengPublic Library of Science (PLoS)PLoS ONE1932-62032019-01-011411e022522910.1371/journal.pone.0225229Performance of patient acuity rating by rapid response team nurses for predicting short-term prognosis.Hyung-Jun KimHyun-Ju MinDong-Seon LeeYun-Young ChoiMiae YoonDa-Yun LeeIn-Ae SongJun Yeun ChoJong Sun ParkYoung-Jae ChoYou-Hwan JoHo Il YoonJae Ho LeeChoon-Taek LeeYeon Joo LeeBACKGROUND:Although scoring and machine learning methods have been developed to predict patient deterioration, bedside assessment by nurses should not be overlooked. This study aimed to evaluate the performance of subjective bedside assessment of the patient by the rapid response team (RRT) nurses in predicting short-term patient deterioration. METHODS:Patients noticed by RRT nurses based on the vital sign instability, abnormal laboratory results, and direct contact via phone between November 1, 2016, and December 12, 2017, were included. Five RRT nurses visited the patients according to their shifts and assessed the possibility of patient deterioration. Patient acuity rating (PAR), a scale of 1-7, was used as the tool of bedside assessment. Other scores, including the modified early warning score, VitalPAC early warning score, standardised early warning score, and cardiac arrest risk triage, were calculated afterwards. The performance of these scores in predicting mortality and/or intensive care unit admission within 1 day was compared by calculating the area under the receiver operating curve. RESULTS:A total of 1,426 patients were included in the study, of which 258 (18.1%) died or were admitted to the intensive care unit within 1 day. The area under the receiver operating curve of PAR was 0.87 (95% confidence interval [CI] 0.84-0.89), which was higher than those of modified early warning score (0.66, 95% CI 0.62-0.70), VitalPAC early warning score (0.69, 95% CI 0.66-0.73), standardised early warning score (0.67, 95% CI 0.63-0.70) and cardiac arrest risk triage (0.63, 95% CI 0.59-0.66) (P<0.001). CONCLUSIONS:PAR assessed by RRT nurses can be a useful tool for assessing short-term patient prognosis in the RRT setting.https://doi.org/10.1371/journal.pone.0225229 |
| spellingShingle | Hyung-Jun Kim Hyun-Ju Min Dong-Seon Lee Yun-Young Choi Miae Yoon Da-Yun Lee In-Ae Song Jun Yeun Cho Jong Sun Park Young-Jae Cho You-Hwan Jo Ho Il Yoon Jae Ho Lee Choon-Taek Lee Yeon Joo Lee Performance of patient acuity rating by rapid response team nurses for predicting short-term prognosis. PLoS ONE |
| title | Performance of patient acuity rating by rapid response team nurses for predicting short-term prognosis. |
| title_full | Performance of patient acuity rating by rapid response team nurses for predicting short-term prognosis. |
| title_fullStr | Performance of patient acuity rating by rapid response team nurses for predicting short-term prognosis. |
| title_full_unstemmed | Performance of patient acuity rating by rapid response team nurses for predicting short-term prognosis. |
| title_short | Performance of patient acuity rating by rapid response team nurses for predicting short-term prognosis. |
| title_sort | performance of patient acuity rating by rapid response team nurses for predicting short term prognosis |
| url | https://doi.org/10.1371/journal.pone.0225229 |
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