scholarly journals Consumers’ perspectives on their involvement in recognizing and responding to patient deterioration—Developing a model for consumer reporting

2018 ◽  
Vol 22 (3) ◽  
pp. 385-395 ◽  
Author(s):  
Lindy King ◽  
Guy Peacock ◽  
Mikaila Crotty ◽  
Robyn Clark
Keyword(s):  
Patient Deterioration ◽  
Consumer Reporting

scholarly journals The implementation of an emergency nursing framework (HIRAID) reduces patient deterioration: A multi-centre quasi-experimental study

2021 ◽  
Vol 56 ◽  
pp. 100976
Author(s):  
Kate Curtis ◽  
Belinda Munroe ◽  
Margaret Fry ◽  
Julie Considine ◽  
Erin Tuala ◽  
...  
Keyword(s):  
Experimental Study ◽  
Emergency Nursing ◽  
Patient Deterioration ◽  
Quasi Experimental

scholarly journals Implementation and evaluation of a prototype consumer reporting system for patient safety events

2017 ◽  
Vol 29 (4) ◽  
pp. 521-526 ◽  
Author(s):  
Saul N. Weingart ◽  
Joel S. Weissman ◽  
Karen P. Zimmer ◽  
Robert C. Giannini ◽  
Denise D. Quigley ◽  
...  
Keyword(s):  
Patient Safety ◽  
Reporting System ◽  
Consumer Reporting

scholarly journals Physiological Observations and Nursing Interventions in the Pre-Arrest Patient: A Descriptive Study

2021 ◽  
Author(s):  
◽  
Tara Marie Ryton-Malden
Keyword(s):  
Cardiac Arrest ◽  
Medical Staff ◽  
Early Recognition ◽  
Vital Signs ◽  
Nursing Interventions ◽  
Nursing Documentation ◽  
Patient Deterioration ◽  
Tertiary Teaching ◽  
Improve Compliance ◽  
Tertiary Teaching Hospital

<p>Aim: To identify how nurses respond to abnormal physiological observations in the 12 hours prior to a patient having a cardiac arrest. Methods: A descriptive observational design was used to retrospectively review the observation charts and nursing notes of 28 patients who had an in-hospital cardiac arrest, during a 20 month period. This study was performed in a large, tertiary teaching hospital in New Zealand. Key Findings Only one patient met the hospitals minimum standard of four hourly observations and a full set of vital signs were performed on only three patients. The nursing responses were limited to increasing the frequency of observations or informing the doctor. There were few other interventions to treat the abnormality. Eight (32%) patients who had either no response or a partial response to their abnormal physiology did not survive. The nursing documentation demonstrated that abnormal neurological observations were tolerated for significant periods of time and were not acted upon in 62% of these patients. The nursing documentation revealed that the delivery of oxygen was often insufficient to meet the patient's requirements and the medical staff were aware of less than half the patients with abnormal physiology. Discussion removed statement re pt survival: This research identified major deficiencies with recording patient vital signs. If these are not recorded regularly, patient deterioration will be missed and treatment cannot be initiated. Nurses need to respond to abnormal physiology beyond repeating vital signs and informing the medical staff. They are accountable for initiating interventions to prevent further deterioration. Conclusion: The early recognition of patient deterioration and treatment are essential to prevent cardiac arrest. Education strategies are required to improve compliance with recording patient vital signs, communication between nursing and medical staff and how to respond to patient deterioration. The barriers to these must be addressed and solutions sought if patient mortality is to be improved.</p>

The educational impact of web-based and face-to-face patient deterioration simulation programs: An interventional trial

2018 ◽  
Vol 64 ◽  
pp. 93-98 ◽  
Author(s):  
Catherine Chung ◽  
Simon J. Cooper ◽  
Robyn P. Cant ◽  
Cliff Connell ◽  
Angela McKay ◽  
...  
Keyword(s):  
Educational Impact ◽  
Web Based ◽  
Face To Face ◽  
Interventional Trial ◽  
Patient Deterioration

Review of Tools for the Prediction of Patient Deterioration in the Digital Hospital Setting. (Preprint)

2021 ◽  
Author(s):  
Kay Debby Mann ◽  
Norm Good ◽  
Farhad Fatehi ◽  
Sankalp Khanna ◽  
Victoria Campbell ◽  
...  
Keyword(s):  
Real Time ◽  
Early Warning ◽  
Hospital Setting ◽  
Warning System ◽  
Scoring Systems ◽  
Time Data ◽  
Time Dynamic ◽  
Patient Deterioration ◽  
Dynamic Risk ◽  
Risk Estimates

BACKGROUND Early warning tools identify patients at risk of deterioration in hospitals. Electronic medical records in hospitals offer real-time data, and the opportunity to automate early warning tools and provide real-time, dynamic risk estimates. OBJECTIVE This review describes published studies on the development, validation and implementation of tools for prediction of patient deterioration in hospital general wards. METHODS An electronic database search of peer-reviewed journal papers 2008-2020 identified studies reporting the use of tools and algorithms for predicting patient deterioration - defined by unplanned transfer to intensive care unit (ICU), cardiac arrest, or death. Studies conducted solely in ICUs, emergency departments or on single diagnosis patient groups were excluded. RESULTS Forty-five publications, eligible for inclusion, were heterogeneous in design, setting and outcome measures. Most papers were retrospective studies utilizing cohort data to develop, validate or statistically evaluate prediction tools. Tools consisted of early warning, screening or scoring systems based on physiologic data, as well as more complex algorithms developed to better represent real-time, deal with complexities of longitudinal data and warn of deterioration risk earlier. Only a few studies detailed the results of implementation of the deterioration warning tools. CONCLUSIONS Despite relative progress on the development of algorithms to predict patient deterioration, the literature has not shown that the deployment or implementation of such algorithms is reproducibly associated with improvement of patient outcomes. Further work is needed to realise the potential of automated predictions and updating dynamic risk estimates as part of an operational early warning system for inpatient deterioration.

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