Perceived Barriers to Rapid Response Team Activation Among Nurses

Nurses' experience with patient deterioration and rapid response teams

BACKGROUND

While timely activation and collaborative teamwork of Rapid Response Teams (RRTs) are crucial to promote a culture of safety and reduce preventable adverse events, these do not always occur. Understanding nurses' perceptions of and experiences with RRTs is important to inform education and policy that improve nurse performance, RRT effectiveness, and patient outcomes.

AIM

The aim of this study was to explore nurse perceptions of detecting patient deterioration, deciding to initiate RRTs, and experience during and at conclusion of RRTs.

METHODS

A qualitative descriptive study using semi-structured focus group interviews was conducted with 24 nurses in a Chicago area hospital. Interviews were audio-recorded, transcribed verbatim, and coded independently by investigators. Thematic analysis identified and organized patterns of meaning across participants. Several strategies supported trustworthiness.

RESULTS

Data revealed five main themes: identification of deterioration, deciding to escalate care, responsiveness of peers/team, communication during rapid responses, and perception of effectiveness.

CONCLUSIONS

Findings provide insight into developing a work environment supportive of nurse performance and interprofessional collaboration to improve RRT effectiveness. Nurses described challenges in identification of subtle changes in patient deterioration. Delayed RRT activation was primarily related to negative attitudes of responders and stigma. RRT interventions were often considered a temporary fix leading to subsequent RRTs, especially when patients needing a higher level of care were not transferred. Implications include the need for ongoing RRT monitoring and education on several areas such as patient hand-off, RRT activation, nurse empowerment, interprofessional communication, role delineation, and code status discussions.

Critical care nurses' role in rapid response teams: A qualitative systematic review

AIM

To analyse the qualitative evidence on the role of critical care nurses in rapid response teams.

DESIGN

Qualitative systematic review.

METHODS

This qualitative systematic review employed Bettany-Saltikov and McSherry's guidelines and is reported according to the Enhancing Transparency in Reporting the Synthesis of Qualitative Research checklist. Two pairs of blinded researchers screened the articles. The data were synthesised using a thematic analysis approach.

DATA SOURCES

A systematic literature search was conducted using the CINAHL, Embase and MEDLINE databases.

RESULTS

Seven studies were included, and three main roles were identified: (1) balancing between confidence and fear in clinical encounters, (2) facilitating collaboration and (3) managing challenging power dynamics in decision-making.

CONCLUSION

Critical care nurses possess extensive knowledge and skills in providing critical care to patients experiencing deterioration on general wards. They play a vital role in facilitating collaboration between team members and ward staff. Furthermore, within the rapid response team, critical care nurses assume leadership responsibilities by overseeing the comprehensive coordination of patient care and actively engaging in the decision-making process concerning patient care.

IMPLICATIONS FOR THE PROFESSION

Highlighting the central role of critical care nurses in rapid response teams as well such a team's benefits in healthcare organisations can promote applications for funding to support further quality assurance of rapid response teams and thus enhance patient safety.

IMPACT

Health care organisations can assure the quality of rapid response team by providing economical resources and training. The education providers should facilitate and standardise curriculum for critical care nursing students to achieve necessary knowledge and skills as members in rapid response teams.

PATIENT OR PUBLIC CONTRIBUTION

No patient or public contribution.

A theoretical framework for identifying sociocultural factors that influence nurses' compliance with early warning systems for acute clinical deterioration: A cross-sectional survey

BACKGROUND

Systematic adoption of early warning systems in healthcare settings is dependent on the optimal and reliable application by the user. Psychosocial issues and hospital culture influence clinicians' patient safety behaviours.

OBJECTIVE

(i) To examine the sociocultural factors that influence nurses' EWS compliance behaviours, using a theory driven behavioural model and (ii) to propose a conceptual model of sociocultural factors for EWS compliance behaviour.

DESIGN

A cross-sectional survey.

SETTING

Nurses employed in public hospitals across Queensland, Australia.

PARTICIPANTS

Using convenience and snowball sampling techniques eligible nurses accessed a dedicated web site and survey containing closed and open-ended questions. 291 nurses from 60 hospitals completed the survey.

METHODS

Quantitative data were analysed using ANOVA or t-tests to test differences in means. A series of path models based on the theory were conducted to develop a new model. Directed or theory driven content analysis informed qualitative data analysis.

RESULTS

Nurses report high levels of previous compliance behaviour and strong intentions to continue complying in the future (M=4.7; SD 0.48). Individual compliance attitudes (β 0.29, p<.05), perceived value of escalation (β 0.24, p<.05) and perceived ease or difficulty complying with documentation (β -0.31, p<.05) were statistically significant, predicting 24% of variation in compliance behaviour. Positive personal charting beliefs (β 0.14, p<.05) and subjective norms both explain higher behavioural intent indirectly through personal attitudes. High ratings of peer charting beliefs indirectly explain attitudes through subjective norms (β 0.20, p<.05). Perceptions of control over one's clinical actions (β -0.24, p<.05) and early warning system training (β -0.17, p<.05) directly contributed to fewer difficulties complying with documentation requirements. Prior difficulties when escalating care (β -0.31, p<.05) directly influenced the perceived value of escalating.

CONCLUSIONS

The developed theory-based conceptual model identified sociocultural variables that inform compliance behaviour (documenting and escalation protocols). The model highlights areas of clinical judgement, education, interprofessional trust, workplace norms and cultural factors that directly or indirectly influence nurses' intention to comply with EWS protocols. Extending our understanding of the sociocultural and system wide factors that hamper nurses' use of EWSs and professional accountability has the potential to improve the compliance behaviour of staff and subsequently enhance the safety climate attitudes of hospitals.

TWEETABLE ABSTRACT

A newly developed model reports nurse's personal attitudes, peer influence, perceived difficulties encountered documenting and escalation beliefs all predict early warning system compliance behaviour.

Barriers and Facilitators Experienced by Undergraduate Nursing Faculty Teaching Clinical Judgment: A Qualitative Study

Background

Clinical judgment is declining in new graduate nurses, which affects patient safety and is therefore tested on the Next Generation NCLEX. There is limited research describing barriers and facilitators impacting nursing faculty's experiences teaching clinical judgment.

Aims

The purpose of this study was to explore barriers and facilitators affecting undergraduate nursing faculty's clinical judgment teaching methods.

Methods

Sixteen qualitative interviews were conducted with full-time nursing faculty at seven universities in the Northeast and Southeast regions of the United States.

Results

The findings revealed program, student, and faculty factors affecting clinical judgment teaching methods. Subthemes included time, class size, students' class preparation, critical thinking, task orientation, professional development, and faculty resistance.

Conclusion

Minimizing barriers and strengthening facilitators based on participants' practices and previous research can support more effective clinical judgment pedagogy, which has the potential to achieve Next Generation NCLEX success and potentially increase patient safety.

Development and Validation of a Machine Learning Algorithm Using Clinical Pages to Predict Imminent Clinical Deterioration

BACKGROUND

Early detection of clinical deterioration among hospitalized patients is a clinical priority for patient safety and quality of care. Current automated approaches for identifying these patients perform poorly at identifying imminent events.

OBJECTIVE

Develop a machine learning algorithm using pager messages sent between clinical team members to predict imminent clinical deterioration.

DESIGN

We conducted a large observational study using long short-term memory machine learning models on the content and frequency of clinical pages.

PARTICIPANTS

We included all hospitalizations between January 1, 2018 and December 31, 2020 at Vanderbilt University Medical Center that included at least one page message to physicians. Exclusion criteria included patients receiving palliative care, hospitalizations with a planned intensive care stay, and hospitalizations in the top 2% longest length of stay.

MAIN MEASURES

Model classification performance to identify in-hospital cardiac arrest, transfer to intensive care, or Rapid Response activation in the next 3-, 6-, and 12-hours. We compared model performance against three common early warning scores: Modified Early Warning Score, National Early Warning Score, and the Epic Deterioration Index.

KEY RESULTS

There were 87,783 patients (mean [SD] age 54.0 [18.8] years; 45,835 [52.2%] women) who experienced 136,778 hospitalizations. 6214 hospitalized patients experienced a deterioration event. The machine learning model accurately identified 62% of deterioration events within 3-hours prior to the event and 47% of events within 12-hours. Across each time horizon, the model surpassed performance of the best early warning score including area under the receiver operating characteristic curve at 6-hours (0.856 vs. 0.781), sensitivity at 6-hours (0.590 vs. 0.505), specificity at 6-hours (0.900 vs. 0.878), and F-score at 6-hours (0.291 vs. 0.220).

CONCLUSIONS

Machine learning applied to the content and frequency of clinical pages improves prediction of imminent deterioration. Using clinical pages to monitor patient acuity supports improved detection of imminent deterioration without requiring changes to clinical workflow or nursing documentation.

Findings from a decade of experience following implementation of a Rapid Response System into an Asian hospital

Aim

Rapid response systems (RRS) are present in many acute hospitals in western nations but are not widely adopted in Asia. The influence of healthcare culture and the effect of implementing an RRS over time are infrequently reported. We describe the introduction a RRS into a Singaporean hospital and the barriers encountered. The efferent limb activation rates, cardiac arrest rates and unplanned intensive care unit (ICU) admissions are trended over eleven years.

Methods

We conducted a retrospective observational study using prospectively collected data derived from administrative and Medical Emergency Team (MET) databases.

Results

The RRS used a MET with a single parameter track and trigger and physician led efferent limb. Barriers encountered included clinical leadership buy-in, assembling and equipping the efferent team, maintaining a non-punitive mindset, improving accessibility to MET and communicating the impact of the MET. Over an 11-year period with 488,252 hospital admissions, MET activation rates increased from 1.6/1000 admissions (2009) to 14.1/1000 admissions (2019). Code blue activations and unplanned ICU admission rates decreased from 2.9 to 1.7 and from 8.8 to 2.0/1000 admissions, respectively over the 11 years. There were associations between increasing MET activation rate and reduction in code blue activations (p = 0.013) and unplanned medical ICU admission rates (p = 0.001).

Conclusion

Implementing, sustaining and continued improvement of an RRS in Singapore is possible despite challenges encountered. With increasing activation rates over a decade, there were reductions in cardiac arrest rates and unplanned medical ICU admissions.

Rapid Response System Components and In-Hospital Cardiac Arrests Rates 21 Years After Introduction Into an Australian Teaching Hospital

OBJECTIVES

The aims of the study are: (1) to evaluate the epidemiology of in-hospital cardiac arrests (IHCAs) 21 years after implementing a rapid response teams (RRTs); and (2) to summarize policies, procedures, and guidelines related to a national standard pertaining to recognition of and response to clinical deterioration in hospital.

METHODS

The study used a prospective audit of IHCA (commencement of external cardiac compressions) in ward areas between February 1, 2021, and January 31, 2022. Collation, summary, and presentation of material related to 8 "essential elements" of the Australian Commission for Safety and Quality in Health Care consensus statement on clinical deterioration.

RESULTS

There were 3739 RRT calls and 244 respond blue calls. There were 20 IHCAs in clinical areas, with only 10 occurring in general wards (0.36/1000 admissions). The median (interquartile range) age was 69.5 years (60-77 y), 90% were male, and comorbidities were relatively uncommon. Only 5 patients had a shockable rhythm. Survival was 65% overall, and 80% and 50% in patients on the cardiac and general wards, respectively. Only 4 patients had RRT criteria in the 24 hours before IHCA. A detailed summary is provided on policies and guidelines pertaining to measurement and documentation of vital signs, escalation of care, staffing and oversight of RRTs, communication for safety, education and training, as well as evaluation, audit, and feedback, which underpinned such findings.

CONCLUSIONS

In our mature RRT, IHCAs are very uncommon, and few are preventable. Many of the published barriers encountered in successful RRT use have been addressed by our policies and guidelines.

Implementing Best Practices for Decreasing Nurse Hesitancy to Call the Rapid Response Team: An Evidence-Based Quality Improvement Initiative

BACKGROUND

Nurses, regardless of experience, sometimes wait for the Modified Early Warning Score to indicate physiological decline before initiating the hospital's Rapid Response Team (RRT). The goal of this quality improvement initiative was to reduce nurse hesitancy to call the RRT, as indicated by the monthly number of proactive calls before the Modified Early Warning Score increased and triggered an automated page.

METHOD

Education, planned handoff communication, debriefing, and good catch emails were the educational strategies used in the implementation of the quality improvement initiatives, encouraging RRT calls sooner. Increasing RRT knowledge and communication is an evidence-based practice strategy to reduce nurse reluctance to call the RRT.

RESULTS

After implementation, monthly proactive RRT calls increased (χ² [1, n = 1,964] = 14.6085, p = .000159). Bedside interventions, unscheduled transfers, and Acute Physiologic and Chronic Health Evaluation scores did not differ.

CONCLUSION

Education, structured handoff communication, and acknowledging good catches reduced nurses' reluctance to call the RRT proactively. [J Contin Educ Nurs. 2023;54(6):281-288.].

Construct and clinical verification of a nurse-led rapid response systems and activation criteria

Background

Effective team leadership and good activation criteria can effectively initiate rapid response system (RRS) to reduce hospital mortality and improve quality of life. The first reaction time of nurses plays an important role in the rescue process. To construct a nurse-led (nurse-led RRS) and activation criteria and then to conduct a pragmatic evaluation of the nurse-led RRS.

Methods

We used literature review and the Delphi method to construct a nurse-led RRS and activation criteria based on the theory of “rapid response system planning.” Then, we conducted a quasi-experimental study to verify the nurse-led RRS. The control group patients were admitted from August to October 2020 and performed traditional rescue procedures. The intervention group patients were admitted from August to October 2021 and implemented nurse-led RRS. The primary outcome was success rate of rescue.

Setting

Emergency department, Gansu Province, China.

Results

The nurse-led RRS and activation criteria include 4 level 1 indicators, 14 level 2 indicators, and 88 level 3 indicators. There were 203 patients who met the inclusion criteria to verify the nurse-led RRS. The results showed that success rate of rescue in intervention group (86.55%) was significantly higher than that in control group (66.5%), the rate of cardiac arrest in intervention group (33.61%) was significantly lower than that in control group (72.62%), the effective rescue time of intervention group (46.98 ± 12.01 min) was shorter than that of control group (58.67 ± 13.73 min), and the difference was statistically significant (P < 0.05). The rate of unplanned ICU admissions in intervention group (42.85%) was lower than that in control group (44.04%), but the difference was not statistically significant (P > 0.05).

Conclusions

The nurse-led RRS and activation criteria can improve the success rate of rescue, reduce the rate of cardiac arrest, shorten the effective time of rescue, effectively improve the rescue efficiency of patients.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12912-022-01087-7.