Nurses’ ‘worry’ as predictor of deteriorating surgical ward patients: A prospective cohort study of the Dutch-Early-Nurse-Worry-Indicator-Score

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• 作者：Gooske Douw^a ; ^b ; ^{douwg@zgv.nl" class="auth_mail" title="E-mail the corresponding author} ; Getty Huisman-de Waal^b ; ^{Getty.Huisman-deWaal@radboudumc.nl" class="auth_mail" title="E-mail the corresponding author} ; Arthur R.H. van Zanten^c ; ^{ZantenA@zgv.nl" class="auth_mail" title="E-mail the corresponding author} ; Johannes G. van der Hoeven^d ; ^{Hans.vanderHoeven@radboudumc.nl" class="auth_mail" title="E-mail the corresponding author} ; Lisette Schoonhoven^e ; ^b ; ^{L.Schoonhoven@soton.ac.uk" class="auth_mail" title="E-mail the corresponding author}
• 关键词：DENWIS ; Deterioration ; Early recognition ; Hospital Rapid Response Team ; Intensive Care Unit ; Nurses ; Worry
• 刊名：International Journal of Nursing Studies
• 出版年：2016
• 出版时间：July 2016
• 年：2016
• 卷：59
• 期：Complete
• 页码：134-140
• 全文大小：422 K

文摘

Nurses’ ‘worry’ is used as a calling criterion in many Rapid Response Systems, however it is valued inconsistently. Furthermore, barriers to call the Rapid Response Team can cause delay in escalating care. The literature identifies nine indicators which trigger nurses to worry about a patient's condition.

Objectives

The objective of this study is to determine the significance of nurses’ ‘worry’ and/or indicators underlying ‘worry’ to predict unplanned Intensive-Care/High-Dependency-Unit admission or unexpected mortality among surgical ward patients.

Design

A prospective cohort study.

Settings

A 500-bed tertiary University affiliated teaching hospital.

Participants

Adult, native speaking surgical patients, admitted to three surgical wards (traumatology, vascular- and abdominal/oncological surgery). We excluded patients with a non-ICU policy or with no curative treatment. Mentally incapacitated patients were also excluded.

Methods

We developed a new clinical assessment tool, the Dutch-Early-Nurse-Worry-Indicator-Score (DENWIS) based on signs underlying ‘worry’. Nurses systematically scored their ‘worry’ and the DENWIS once per shift or at any moment of ‘worry’. DENWIS measurements were linked to routinely measured vital signs. The composite endpoint was unplanned Intensive-Care/High-Dependency-Unit admission or unexpected mortality. The DENWIS-indicators were included in a univariate and multivariate logistic regression analysis, subsequently inserting ‘worry’ and the Early Warning Score into the model. We calculated the area under the receiver-operating characteristics curve.

Results

In 3522 patients there were 102 (2.9%) patients with unplanned Intensive Care Unit/High Dependency Unit-admissions or unexpected mortality. ‘Worry’ (0.81) and the DENWIS-model (0.85) had a lower area under the receiver-operating characteristics curve than the Early Warning Score (0.86). Adding ‘worry’ and the Early Warning Score to the DENWIS-model resulted in higher areas under the receiver operating characteristics curves (0.87 and 0.91, respectively) compared with the Early Warning Score only based on vital signs.

Conclusions

In this single-center study we showed that adding the Early Warning Score based on vital signs to the DENWIS-indicators improves prediction of unplanned Intensive-Care/High-Dependency-Unit admission or unexpected mortality.