Indicators of patient deterioration in poorly resourced private hospitals : Which vital sign to watch? A retrospective case-control study
Copyright © 2023 Australian College of Critical Care Nurses Ltd. Published by Elsevier Ltd. All rights reserved..
BACKGROUND: Patient vital signs are a measure of wellness if monitored regularly and accurately. Staff shortages in poorly resourced regional hospitals often result in inadequate patient monitoring, putting patients at risk of undetected deterioration.
OBJECTIVE: This study aims to explore the pattern and completeness of vital sign monitoring and the contribution of each vital sign in predicting clinical deterioration events in resource-poor regional/rural hospitals.
METHOD: Using a retrospective case-control study design, we compared 24 h of vital sign data from deteriorating and nondeteriorating patients from two poorly-resourced regional hospitals. Descriptive statistics, t-tests, and analysis of variance are used to compare patient-monitoring frequency and completeness. The contribution of each vital sign in predicting patient deterioration was determined using the Area Under the Receiver Operator Characteristic curve and binary logistical regression analysis.
RESULTS: Deteriorating patients were monitored more frequently (9.58 [7.02] times) in the 24-h period than nondeteriorating patients (4.93 [2.66] times). However, the completeness of vital sign documentation was higher in nondeteriorating (85.2%) than in deteriorating patients (57.7%). Body temperature was the most frequently omitted vital sign. Patient deterioration was positively linked to the frequency of abnormal vital signs and the number of abnormal vital signs per set (Area Under the Receiver Operator Characteristic curve: 0.872 and 0.867, respectively). No single vital sign strongly predicts patient outcomes. However, a supplementary oxygen value of >3 L/min and a heart rate of >139 beats/min were the best predictors of patient deterioration.
CONCLUSION: Given the poor resourcing and often geographical remoteness of small regional hospitals, it is prudent that the nursing staff are made aware of the vital signs that best indicate deterioration for the cohort of patients in their care. Tachycardic patients on supplementary oxygen are at high risk of deterioration.
| Medienart: |
E-Artikel |
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| Erscheinungsjahr: |
2024 |
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| Erschienen: |
2024 |
| Enthalten in: |
Zur Gesamtaufnahme - volume:37 |
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| Enthalten in: |
Australian critical care : official journal of the Confederation of Australian Critical Care Nurses - 37(2024), 3 vom: 27. Apr., Seite 461-467 |
| Sprache: |
Englisch |
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| Beteiligte Personen: |
Le Lagadec, Marie Danielle [VerfasserIn] |
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| Links: |
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| Themen: |
Journal Article |
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| Anmerkungen: |
Date Completed 19.04.2024 Date Revised 19.04.2024 published: Print-Electronic Citation Status MEDLINE |
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| doi: |
10.1016/j.aucc.2023.05.006 |
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| funding: |
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| Förderinstitution / Projekttitel: |
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| 100 | 1 | |a Le Lagadec, Marie Danielle |e verfasserin |4 aut | |
| 245 | 1 | 0 | |a Indicators of patient deterioration in poorly resourced private hospitals |b Which vital sign to watch? A retrospective case-control study |
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| 500 | |a Date Revised 19.04.2024 | ||
| 500 | |a published: Print-Electronic | ||
| 500 | |a Citation Status MEDLINE | ||
| 520 | |a Copyright © 2023 Australian College of Critical Care Nurses Ltd. Published by Elsevier Ltd. All rights reserved. | ||
| 520 | |a BACKGROUND: Patient vital signs are a measure of wellness if monitored regularly and accurately. Staff shortages in poorly resourced regional hospitals often result in inadequate patient monitoring, putting patients at risk of undetected deterioration | ||
| 520 | |a OBJECTIVE: This study aims to explore the pattern and completeness of vital sign monitoring and the contribution of each vital sign in predicting clinical deterioration events in resource-poor regional/rural hospitals | ||
| 520 | |a METHOD: Using a retrospective case-control study design, we compared 24 h of vital sign data from deteriorating and nondeteriorating patients from two poorly-resourced regional hospitals. Descriptive statistics, t-tests, and analysis of variance are used to compare patient-monitoring frequency and completeness. The contribution of each vital sign in predicting patient deterioration was determined using the Area Under the Receiver Operator Characteristic curve and binary logistical regression analysis | ||
| 520 | |a RESULTS: Deteriorating patients were monitored more frequently (9.58 [7.02] times) in the 24-h period than nondeteriorating patients (4.93 [2.66] times). However, the completeness of vital sign documentation was higher in nondeteriorating (85.2%) than in deteriorating patients (57.7%). Body temperature was the most frequently omitted vital sign. Patient deterioration was positively linked to the frequency of abnormal vital signs and the number of abnormal vital signs per set (Area Under the Receiver Operator Characteristic curve: 0.872 and 0.867, respectively). No single vital sign strongly predicts patient outcomes. However, a supplementary oxygen value of >3 L/min and a heart rate of >139 beats/min were the best predictors of patient deterioration | ||
| 520 | |a CONCLUSION: Given the poor resourcing and often geographical remoteness of small regional hospitals, it is prudent that the nursing staff are made aware of the vital signs that best indicate deterioration for the cohort of patients in their care. Tachycardic patients on supplementary oxygen are at high risk of deterioration | ||
| 650 | 4 | |a Journal Article | |
| 650 | 4 | |a Patient deterioration | |
| 650 | 4 | |a Poorly resourced hospitals | |
| 650 | 4 | |a Retrospective case-control study | |
| 650 | 4 | |a Vital sign monitoring | |
| 650 | 4 | |a Vital sign omissions | |
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| 700 | 1 | |a Dwyer, Trudy |e verfasserin |4 aut | |
| 700 | 1 | |a Browne, Matthew |e verfasserin |4 aut | |
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