Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2019 Aug 28;2(4):465-470.
doi: 10.1093/jamiaopen/ooz033. eCollection 2019 Dec.

The fifth vital sign? Nurse worry predicts inpatient deterioration within 24 hours

Affiliations

The fifth vital sign? Nurse worry predicts inpatient deterioration within 24 hours

Santiago Romero-Brufau et al. JAMIA Open. .

Abstract

Introduction: Identification of hospitalized patients with suddenly unfavorable clinical course remains challenging. Models using objective data elements from the electronic health record may miss important sources of information available to nurses.

Methods: We recorded nurses' perception of patient potential for deterioration in 2 medical and 2 surgical adult hospital units using a 5-point score at the start of the shift (the Worry Factor [WF]), and any time a change or an increase was noted by the nurse. Cases were evaluated by three reviewers. Intensive care unit (ICU) transfers were also tracked.

Results: 31 159 patient-shifts were recorded for 3185 unique patients during 3551 hospitalizations, with 169 total outcome events. Out of 492 potential deterioration events identified, 380 (77%) were confirmed by reviewers as true deterioration events. Likelihood ratios for ICU transfer were 17.8 (15.2-20.9) in the 24 hours following a WF > 2, and 40.4 (27.1-60.1) following a WF > 3. Accuracy rates were significantly higher in nurses with over a year of experience (68% vs 79%, P = 0.04). The area under the receiver operator characteristic curve (AUROC) was 0.92 for the prediction of ICU transfer within 24 hours.

Discussion: This is a higher accuracy than most published early warning scores.

Conclusion: Nurses' pattern recognition and sense of worry can provide important information for the detection of acute physiological deterioration and should be included in the electronic medical record.

Keywords: clinical deterioration; informatics; inpatient; nursing; physiological pattern recognition.

PubMed Disclaimer

Figures

Figure 1.
Figure 1.
Worry Factor Score criteria. The Worry Factor Score is a very simple, 5-level scale. Scores 0 or 1 (above the dotted line) indicate the scoring nurse does not believe the patient is actively deteriorating. Scores of 2–4 (below the dotted line) indicate increasing level of worry or certainty that a patient is deteriorating.
Figure 2.
Figure 2.
Worry Factor (WF) accuracy by nurse experience. Percentage of potential deteriorations confirmed by reviewers. The graph shows the total percentage of instances that were considered real deterioration by the reviewers, by years of experience of the nurse filling out the worry factor. The difference is statistically significant between less than 1 year of experience, and 1 or more.
Figure 3.
Figure 3.
Provider and nurse actions by worry factor (WF) score and number of instances the WF increased during a shift. Number of potential deteriorations and nursing and provider response to increasing worry factor. The graph shows the total number of instances of increased WF by the WF score reached. The line indicates the total number of potential deterioration events (instances of increased worry factor by the nurse). The number of potential deterioration events is smaller for the higher WF scores (more severe deterioration events are rarer). The bars illustrate the proportion of actions taken by the nurse: “no action” means the nurses did not call the provider, “Provider was called” means the provider was notified by the nurse but did not evaluate the patient at the bedside, “Provider was called and came to bedside” means that the provider was notified and performed a bedside evaluation.

Comment in

References

    1. Liu V, Escobar GJ, Greene JD, et al. Hospital deaths in patients with sepsis from 2 independent cohorts. JAMA 2014; 312 (1): 90–2. - PubMed
    1. Kumar A, Roberts D, Wood KE, et al. Duration of hypotension before initiation of effective antimicrobial therapy is the critical determinant of survival in human septic shock. Crit Care Med 2006; 34 (6): 1589–96. - PubMed
    1. Young MP, Gooder VJ, McBride K, et al. Inpatient transfers to the intensive care unit: delays are associated with increased mortality and morbidity. J Gen Intern Med 2003; 18 (2): 77–83. - PMC - PubMed
    1. Chalfin DB, Trzeciak S, Likourezos A, et al. Impact of delayed transfer of critically ill patients from the emergency department to the intensive care unit. Crit Care Med 2007; 35 (6): 1477–83. - PubMed
    1. Romero-Brufau S, Huddleston JM, Naessens JM, et al. Widely used track and trigger scores: are they ready for automation in practice? Resuscitation 2014; 85 (4): 549–52. - PubMed

LinkOut - more resources