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Melissa Powell BSN, MSHCA, RN
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I’m a novice to conducting research
I’ve made a few mistakes along the way
I’m eventually going to get there
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Late 2009 and early 2010, multiple anecdotal
stories of confusion and communication
problems
Post Code Quality Survey
Out of ICU/RRT debrief Committee meets
weekly.
Remediation and debrief process by educator
in place for failure to initiate early rescue and
RRS activation. Qualitative data collected after
each meeting.
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1.
“He or she {physician} is right here at the bedside with me. And that feels very
uncomfortable as though it says to the physician that I do not think they are capable.”
2.
“He or she went to medical school. I didn’t. I’m just a nervous new nurse. They
know what they are doing.”
3.
“I feel like I’m tattling on them.”
4.
“The doctor is responding to my concerns with orders.”
5.
“There is nothing anyone can do for this patient anyway.”
6.
“There is something not right about this patient but my vital signs are normal, I just
don’t want to call them over here and waste their time.”
7.
“There aren’t any critical care beds right now. The ED is on diversion. I know they
are busy.”
8.
“The {responder} nurses just roll their eyes at me and don’t do anything.”
9.
“The charge nurse thinks everything is okay so I don’t want to call and override her.”
10. “Multiple nurses at bedside: “I didn’t call because my charge nurse was there and
there were others with me and felt I had enough different people involved”.
11. “What else would RRT do, besides what we are already doing?”
12. If the patient wasn’t transferred they think that it wasn’t the right thing to do to call.
13. If the patients code status is DNR/DNI they do not think they should call, regardless
of goals of care or team knowledge.
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Authority gradient phenomenon
Inability to express concern clearly
Other staff discounting judgment
Lack of organization support
Issues of diminished culture of safety
Responder communication poor
Lack of knowledge
System and process failure
Ineffective communication is a root cause for
nearly 66 percent of all sentinel events
reported*
• (The Joint Commission Root Causes and Percentages for Sentinel

Events (All Categories) January 1995−December 2005)

•

Vanderbilt Innovation Pillar goal 2011: Innovate
with new approaches to Interprofessional learning.
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Experiential learning theory -- (Kolb, 2000)
Social Cognitive learning theory -- (Bandura,
1960)
Interprofessional team training evidence -Multiple studies (Salas, 2008) (Gaba, 2004)
(Miller, 2008) (Small, 2008)
 AHRQ TeamSTEPPS evidence (Salas, 2008)

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Diffusion through Innovations -- (Rogers,
1962)
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Will in situ team training improve team
member perceptions of “chaos” during acute
events?
Will in situ team training with TeamSTEPPS
improve team member perceptions of “good”
communication during acute events?
Will in situ team communication training with
TeamSTEPPS curriculum decrease delay and
failure to rescue?
• Participation
• Satisfaction - Learners reactions to the training

Level 1

Level 2

• 3a Declarative Knowledge - Modifications to knowledge, attitudes,
perceptions
• 3b Procedural Knowledge - Acquisition of procedural knowledge and skills

Level 3

• Competence - Demonstration of skill in training

Level 4

• Performance - Changes in workplace behavior, competencies
and attitudes

Level 5

• Patient Health – Changes in patient health or workplace
systems as a result

• Community Health – Changes in the health of a community

Level 6

Level 7
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Unit determined by the following VUH
standard:
Required Bi-annual AHA Training for all
staff delivered by VRP. (Policy 30-1.24)
Education regarding adherence to Rapid
Response System process (Policy 32.89.0)
received in orientation.
Required Bi-annual “Mock Code” simulation
in “Hands on Clinical Safety”.
All nurses debriefed about failure to rescue.
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Convenience sample
Required Bi-annual AHA Training for all
staff. (Policy 30-1.24)
Education regarding adherence to Rapid
Response System process (Policy 32.89.0)
Blended Learning Intervention:

◦ Online education regarding teamwork and
communication
◦ On unit setting with interprofessional team
◦ Briefing before simulation
◦ High fidelity Interprofessional simulation of patient
decline and cardiopulmonary arrest requiring early
activation of rapid response system and BLS
◦ Debrief using Rudolph’s “non-judgmental” process
Post code data
& # failure to
rescue events

Intervention
group (100%
unit) Level 1

Online
education
(Level 3a)

Simulation
(Level 3b, Level
4)

Debrief (Level
4)

Survey (Level
2)

Real event
(Level 5)

Post code
quality survey
(Level 5) &
# Failure to
rescue events
(Level 6)
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Participation was mandatory for intervention unit.
100% completion.
Most staff was excited to have an opportunity to
be a part of simulation training and signed up
early for sim times.
Few staff had anxiety. Reassurance and
encouragement was necessary for a few staff
members.
Satisfaction: Initial paper survey response rate
very highly rated simulation experience: 63
surveys received: 92% rated unit based training
with simulation “very satisfactory” as a learning
method.
Strongly agree

strongly disagree
Excellent

poor
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All complete AED Heartsaver or BLS course
 Performance of CPR
 Pass a test on AHA guidelines for rescue



All staff are communicated to about RRS
 All new hires are verified that they were informed and
read policy about RRS.
 Signs in all patient rooms and staff break room
 Cultural awareness
 No formal test of knowledge
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BLS skills (80%)
Procedural knowledge (50%)
Equipment knowledge (unable to assess during
due to SimMan3G barriers)
Assessment and Intervention (99%)
Recognizing and Initiating RRT immediately (55%)
Communication skills
◦
◦
◦
◦
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SBAR (20%)
CUS (.1%)
Check Back (34%)
Two-Challenge Rule (0%)
Situation Monitoring including Shared Mental Model
knowledge (34%)

***This data is based on video
observation and very rough and unable
to validate fully.
Strongly agree

strongly disagree
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Post RRT and Code event data obtained from
team members obtained through convenience
and ability to discover who would voluntarily
complete online survey.
No systematic process in place currently to
identify and contact all or some members of
an acute event.
The sample frame or the population size is
unknown and varies event to event.
Pre July
2010

Post
Intervention
Dec 2010

difference

Post
intervention
Confidence
Intervals

Intervention
Unit

8%

8.3%

0.3%

+/- 8%

Control Unit

9%

9.5%

0.5%

+/- 8%

With 90% confidence 8% of the participants in the survey sample answered
“strongly agreed," we could be sure that between 1% and 18% of the
members of the entire target population would also say “strongly agreed"
when asked the same question. The confidence interval, in this case,
is +/- 8%.
My sample is not random so my ability to report
is not accurate.
Pre July
2010

Post Dec
2010

difference

Intervention
Unit

20%

0%

20%

Control Unit

19%

4.8%

14.2%

Confidence
Intervals
+/- 6%
+/- 6%
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Interviewed 6 team leaders of STATS obtained
through ability to identify and meet.
Questions asked:
◦
◦
◦
◦

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Tell me how the code went that occurred on (unit)?
How was the communication?
What could the team have done better?
Did you all debrief afterward?

Unable to record conversations completely. Some
situations were random. Information regarding
team work was consistently very satisfactory in
regards to teamwork on intervention unit.
Additionally, this approach yielded the highest
quality feedback.
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Data obtained from Out of ICU meetings and
review of events
There were fewer delay and failure to rescue.
The behavior is still occurring.
Jan 2010 to
July 2010

Jan 2011 to
July 2011

Intervention
Unit

23

6

Control Unit

18

12

Delay to rescue is determined by patient meeting
a rapid response trigger criteria for more than 60 minutes.
Failure to rescue is determined by patient declining over more than 6
hours before RRS activated.
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Debriefing nurses post intervention yield
stronger self reflective ability and that
learning occurred
Using concepts such as authority gradient to
communicate what they experienced
Staff now often identifies their own barriers
and role in early activation and failure to
rescue
Did not continue qualitative data collection of
debriefs
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In Situ Simulation Team Training is effective. I
recommend Vanderbilt leaders take a look at
equipping unit educators with the skills.
Communication skills are a hard skill. Best
methodology is not a power point but simulation.
Culture of safety is important and must take
multiple angles to address.
To get to “zero” delay and failure to rescue, we
must improve process, system, education and
communication skills of providers.
Diffusion of Innovation is occurring
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Researcher bias, confounded by known identity
of intervention group
Training works versus no training. Team
Training works with multiple levels of evidence
for the last 10 years.
Teams that are trained in team communication
rate themselves lower after training.
No triangulation of observed effects. No
independent raters of performance.
Inability to train all educators to level of
competence for intervention
Doesn’t inform beyond existing research
literature. Must find measurable outcomes.
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Pilot idea, discussed in multiple meetings
with leaders and experts in simulation team
training.
Held initial simulations with team training
experts and received training in event based
scenario development, team observation,
checklist development and rating, and
debriefing skills.
Ran 68 simulations in a 10 month period.
Videoed simulations and debriefs to improve
and practice observation skills and debrief
skills.
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July 2012, acquired TeamSTEPPS Master
Trainer training and status through AHRQ.
Continue to refine process through improved
coordination of departments and leadership
buy in.
Created a temporary unit simulation space in
a large equipment room.
Refined data collection methods and survey
instrument. NO MORE SLIDER SCALES.
LIKERT ONLY.
Begin collaboration with other units.

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Bandura. (2001). Social cognitive theory: An agentic perspective. Annual Review of Psychology, 52(1),
1.
Clancy, C. M. (2007). TeamSTEPPS: assuring optimal teamwork in clinical settings. American journal of
medical quality, 22(3), 214.
Gaba, D. M. (2004). The future vision of simulation in health care. Quality & Safety in Health Care,
13(suppl 1), i2.
Holzman, R. S. (1995). Anesthesia crisis resource management: real-life simulation training in
operating room crises. Journal of clinical anesthesia, 7(8), 675.
Kolb, D. A. (1983). Experiential Learning: Experience as the Source of Learning and Development (1st
ed.). Prentice Hall.
Miller, K. K. (2008). In situ simulation: a method of experiential learning to promote safety and team
behavior. The Journal of perinatal & neonatal nursing, 22(2), 105.
Moore, D. E., Green, J. S., & Gallis, H. A. (2009). Achieving desired results and improved outcomes:
Integrating planning and assessment throughout learning activities. Journal of Continuing Education
in the Health Professions, 29(1), 1–15. doi:10.1002/chp.20001
Nunnink, L. (2009). In situ simulation-based team training for post-cardiac surgical emergency chest
reopen in the intensive care unit. Anaesthesia and intensive care, 37(1), 74–8.
Peberdy, M. A., Callaway, C. W., Neumar, R. W., Geocadin, R. G., Zimmerman, J. L., Donnino, M.,
Gabrielli, A., et al. (2010). Part 9: Post–Cardiac Arrest Care 2010 American Heart Association
Guidelines for Cardiopulmonary Resuscitation and Emergency Cardiovascular Care. Circulation,
122(18 suppl 3), S768–S786. doi:10.1161/CIRCULATIONAHA.110.971002
Rogers, E. M. (1995). Diffusion of innovations. Free Press.
Rudolph, Jenny, W. (2006). There’s No Such Thing as “Non-judgmental” Debriefing: A Theory and
Method for Debriefing with Good Judgement. Simulation in Healthcare, 49–55.
Salas, E., DiazGranados, D., Klein, C., Burke, C. S., Stagl, K. C., Goodwin, G. F., & Halpin, S. M. (2008).
Does Team Training Improve Team Performance? A Meta-Analysis. Human Factors: The Journal of the
Human Factors and Ergonomics Society, 50(6), 903–933. doi:10.1518/001872008X375009
Small, S. D. (2008). Demonstration of high‐fidelity simulation team training for emergency medicine.
Academic emergency medicine, 6(4), 312.
Vanderbilt Policy Rapid Response Team Activation Policy number CL 30-08.16
Vanderbilt Policy Cardiopulmonary Resuscitation Policy number CL 30-08.21.

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Program Evaluation of In-Situ Simulation Team Training

  • 2.    I’m a novice to conducting research I’ve made a few mistakes along the way I’m eventually going to get there
  • 3.     Late 2009 and early 2010, multiple anecdotal stories of confusion and communication problems Post Code Quality Survey Out of ICU/RRT debrief Committee meets weekly. Remediation and debrief process by educator in place for failure to initiate early rescue and RRS activation. Qualitative data collected after each meeting.
  • 4.              1. “He or she {physician} is right here at the bedside with me. And that feels very uncomfortable as though it says to the physician that I do not think they are capable.” 2. “He or she went to medical school. I didn’t. I’m just a nervous new nurse. They know what they are doing.” 3. “I feel like I’m tattling on them.” 4. “The doctor is responding to my concerns with orders.” 5. “There is nothing anyone can do for this patient anyway.” 6. “There is something not right about this patient but my vital signs are normal, I just don’t want to call them over here and waste their time.” 7. “There aren’t any critical care beds right now. The ED is on diversion. I know they are busy.” 8. “The {responder} nurses just roll their eyes at me and don’t do anything.” 9. “The charge nurse thinks everything is okay so I don’t want to call and override her.” 10. “Multiple nurses at bedside: “I didn’t call because my charge nurse was there and there were others with me and felt I had enough different people involved”. 11. “What else would RRT do, besides what we are already doing?” 12. If the patient wasn’t transferred they think that it wasn’t the right thing to do to call. 13. If the patients code status is DNR/DNI they do not think they should call, regardless of goals of care or team knowledge.
  • 5.         Authority gradient phenomenon Inability to express concern clearly Other staff discounting judgment Lack of organization support Issues of diminished culture of safety Responder communication poor Lack of knowledge System and process failure
  • 6. Ineffective communication is a root cause for nearly 66 percent of all sentinel events reported* • (The Joint Commission Root Causes and Percentages for Sentinel Events (All Categories) January 1995−December 2005) • Vanderbilt Innovation Pillar goal 2011: Innovate with new approaches to Interprofessional learning.
  • 7.    Experiential learning theory -- (Kolb, 2000) Social Cognitive learning theory -- (Bandura, 1960) Interprofessional team training evidence -Multiple studies (Salas, 2008) (Gaba, 2004) (Miller, 2008) (Small, 2008)  AHRQ TeamSTEPPS evidence (Salas, 2008)  Diffusion through Innovations -- (Rogers, 1962)
  • 8.    Will in situ team training improve team member perceptions of “chaos” during acute events? Will in situ team training with TeamSTEPPS improve team member perceptions of “good” communication during acute events? Will in situ team communication training with TeamSTEPPS curriculum decrease delay and failure to rescue?
  • 9. • Participation • Satisfaction - Learners reactions to the training Level 1 Level 2 • 3a Declarative Knowledge - Modifications to knowledge, attitudes, perceptions • 3b Procedural Knowledge - Acquisition of procedural knowledge and skills Level 3 • Competence - Demonstration of skill in training Level 4 • Performance - Changes in workplace behavior, competencies and attitudes Level 5 • Patient Health – Changes in patient health or workplace systems as a result • Community Health – Changes in the health of a community Level 6 Level 7
  • 10.      Unit determined by the following VUH standard: Required Bi-annual AHA Training for all staff delivered by VRP. (Policy 30-1.24) Education regarding adherence to Rapid Response System process (Policy 32.89.0) received in orientation. Required Bi-annual “Mock Code” simulation in “Hands on Clinical Safety”. All nurses debriefed about failure to rescue.
  • 11.     Convenience sample Required Bi-annual AHA Training for all staff. (Policy 30-1.24) Education regarding adherence to Rapid Response System process (Policy 32.89.0) Blended Learning Intervention: ◦ Online education regarding teamwork and communication ◦ On unit setting with interprofessional team ◦ Briefing before simulation ◦ High fidelity Interprofessional simulation of patient decline and cardiopulmonary arrest requiring early activation of rapid response system and BLS ◦ Debrief using Rudolph’s “non-judgmental” process
  • 12. Post code data & # failure to rescue events Intervention group (100% unit) Level 1 Online education (Level 3a) Simulation (Level 3b, Level 4) Debrief (Level 4) Survey (Level 2) Real event (Level 5) Post code quality survey (Level 5) & # Failure to rescue events (Level 6)
  • 13.     Participation was mandatory for intervention unit. 100% completion. Most staff was excited to have an opportunity to be a part of simulation training and signed up early for sim times. Few staff had anxiety. Reassurance and encouragement was necessary for a few staff members. Satisfaction: Initial paper survey response rate very highly rated simulation experience: 63 surveys received: 92% rated unit based training with simulation “very satisfactory” as a learning method.
  • 16.  All complete AED Heartsaver or BLS course  Performance of CPR  Pass a test on AHA guidelines for rescue  All staff are communicated to about RRS  All new hires are verified that they were informed and read policy about RRS.  Signs in all patient rooms and staff break room  Cultural awareness  No formal test of knowledge
  • 17.       BLS skills (80%) Procedural knowledge (50%) Equipment knowledge (unable to assess during due to SimMan3G barriers) Assessment and Intervention (99%) Recognizing and Initiating RRT immediately (55%) Communication skills ◦ ◦ ◦ ◦ ◦ SBAR (20%) CUS (.1%) Check Back (34%) Two-Challenge Rule (0%) Situation Monitoring including Shared Mental Model knowledge (34%) ***This data is based on video observation and very rough and unable to validate fully.
  • 19.    Post RRT and Code event data obtained from team members obtained through convenience and ability to discover who would voluntarily complete online survey. No systematic process in place currently to identify and contact all or some members of an acute event. The sample frame or the population size is unknown and varies event to event.
  • 20. Pre July 2010 Post Intervention Dec 2010 difference Post intervention Confidence Intervals Intervention Unit 8% 8.3% 0.3% +/- 8% Control Unit 9% 9.5% 0.5% +/- 8% With 90% confidence 8% of the participants in the survey sample answered “strongly agreed," we could be sure that between 1% and 18% of the members of the entire target population would also say “strongly agreed" when asked the same question. The confidence interval, in this case, is +/- 8%. My sample is not random so my ability to report is not accurate.
  • 21. Pre July 2010 Post Dec 2010 difference Intervention Unit 20% 0% 20% Control Unit 19% 4.8% 14.2% Confidence Intervals +/- 6% +/- 6%
  • 22.   Interviewed 6 team leaders of STATS obtained through ability to identify and meet. Questions asked: ◦ ◦ ◦ ◦  Tell me how the code went that occurred on (unit)? How was the communication? What could the team have done better? Did you all debrief afterward? Unable to record conversations completely. Some situations were random. Information regarding team work was consistently very satisfactory in regards to teamwork on intervention unit. Additionally, this approach yielded the highest quality feedback.
  • 23.    Data obtained from Out of ICU meetings and review of events There were fewer delay and failure to rescue. The behavior is still occurring.
  • 24. Jan 2010 to July 2010 Jan 2011 to July 2011 Intervention Unit 23 6 Control Unit 18 12 Delay to rescue is determined by patient meeting a rapid response trigger criteria for more than 60 minutes. Failure to rescue is determined by patient declining over more than 6 hours before RRS activated.
  • 25.    Debriefing nurses post intervention yield stronger self reflective ability and that learning occurred Using concepts such as authority gradient to communicate what they experienced Staff now often identifies their own barriers and role in early activation and failure to rescue Did not continue qualitative data collection of debriefs
  • 26.      In Situ Simulation Team Training is effective. I recommend Vanderbilt leaders take a look at equipping unit educators with the skills. Communication skills are a hard skill. Best methodology is not a power point but simulation. Culture of safety is important and must take multiple angles to address. To get to “zero” delay and failure to rescue, we must improve process, system, education and communication skills of providers. Diffusion of Innovation is occurring
  • 27.       Researcher bias, confounded by known identity of intervention group Training works versus no training. Team Training works with multiple levels of evidence for the last 10 years. Teams that are trained in team communication rate themselves lower after training. No triangulation of observed effects. No independent raters of performance. Inability to train all educators to level of competence for intervention Doesn’t inform beyond existing research literature. Must find measurable outcomes.
  • 28.    Pilot idea, discussed in multiple meetings with leaders and experts in simulation team training. Held initial simulations with team training experts and received training in event based scenario development, team observation, checklist development and rating, and debriefing skills. Ran 68 simulations in a 10 month period. Videoed simulations and debriefs to improve and practice observation skills and debrief skills.
  • 29.      July 2012, acquired TeamSTEPPS Master Trainer training and status through AHRQ. Continue to refine process through improved coordination of departments and leadership buy in. Created a temporary unit simulation space in a large equipment room. Refined data collection methods and survey instrument. NO MORE SLIDER SCALES. LIKERT ONLY. Begin collaboration with other units.
  • 30.                Bandura. (2001). Social cognitive theory: An agentic perspective. Annual Review of Psychology, 52(1), 1. Clancy, C. M. (2007). TeamSTEPPS: assuring optimal teamwork in clinical settings. American journal of medical quality, 22(3), 214. Gaba, D. M. (2004). The future vision of simulation in health care. Quality & Safety in Health Care, 13(suppl 1), i2. Holzman, R. S. (1995). Anesthesia crisis resource management: real-life simulation training in operating room crises. Journal of clinical anesthesia, 7(8), 675. Kolb, D. A. (1983). Experiential Learning: Experience as the Source of Learning and Development (1st ed.). Prentice Hall. Miller, K. K. (2008). In situ simulation: a method of experiential learning to promote safety and team behavior. The Journal of perinatal & neonatal nursing, 22(2), 105. Moore, D. E., Green, J. S., & Gallis, H. A. (2009). Achieving desired results and improved outcomes: Integrating planning and assessment throughout learning activities. Journal of Continuing Education in the Health Professions, 29(1), 1–15. doi:10.1002/chp.20001 Nunnink, L. (2009). In situ simulation-based team training for post-cardiac surgical emergency chest reopen in the intensive care unit. Anaesthesia and intensive care, 37(1), 74–8. Peberdy, M. A., Callaway, C. W., Neumar, R. W., Geocadin, R. G., Zimmerman, J. L., Donnino, M., Gabrielli, A., et al. (2010). Part 9: Post–Cardiac Arrest Care 2010 American Heart Association Guidelines for Cardiopulmonary Resuscitation and Emergency Cardiovascular Care. Circulation, 122(18 suppl 3), S768–S786. doi:10.1161/CIRCULATIONAHA.110.971002 Rogers, E. M. (1995). Diffusion of innovations. Free Press. Rudolph, Jenny, W. (2006). There’s No Such Thing as “Non-judgmental” Debriefing: A Theory and Method for Debriefing with Good Judgement. Simulation in Healthcare, 49–55. Salas, E., DiazGranados, D., Klein, C., Burke, C. S., Stagl, K. C., Goodwin, G. F., & Halpin, S. M. (2008). Does Team Training Improve Team Performance? A Meta-Analysis. Human Factors: The Journal of the Human Factors and Ergonomics Society, 50(6), 903–933. doi:10.1518/001872008X375009 Small, S. D. (2008). Demonstration of high‐fidelity simulation team training for emergency medicine. Academic emergency medicine, 6(4), 312. Vanderbilt Policy Rapid Response Team Activation Policy number CL 30-08.16 Vanderbilt Policy Cardiopulmonary Resuscitation Policy number CL 30-08.21.

Editor's Notes

  1. Late 2009 and early 2010, multiple anecdotal stories of confusion and communication problems with intervention unit staff during rapid response and resuscitation events from physician team leaders and staff. Post Code Quality Survey, Acute event and resuscitation databases initiated by Medicine Resident’s including Robert Lentz, MD in December 2009. Measuring team perceptions, equipment issues and team leader identification. Between December 2009 to July 2010, 20% team members surveyed after 24 total events on intervention unit ranked strongly agreed “the situation was chaotic”. 21 total events on control unit 19% team members surveyed ranked strongly agreed “the situation was chaotic”.Out of ICU/RRT debrief Committee meets weekly reviewing all STAT and RRT calls. In an attempt to measure issues, criteria was developed. Consistent themes related to delay to rescue is determined by patient meeting a rapid response trigger criteria for more than 60 minutes. Failure to rescue is determined by patient declining over more than 6 hours before RRS activated.Remediation and debrief process by educator in place for failure to initiate early rescue and RRS activation. Qualitative data collected after each meeting.
  2. Debrief themes extracted from qualitative information of delay to rescue and failure to rescue reviewed with Kim Linville, Jeff Hileman, Jacki Ashburn, and Out of ICU Committee.
  3. Experiential learning theory emphasizes that experience plays a strong role in the learning process. (Kolb, 2000)Social Cognitive learning theory Bandura’s social cognitive learning theory suggests that humans can learn through observation without imitating the observed behavior. He also states that humans can learn from behaviors indirectly or directly by observing behaviors and the consequences of those behaviors. The theory suggests that a combination of behavioral, cognitive, and environmental factors influence behavior.Diffusion through Innovations --That is, diffusion is the process by which an innovation is communicated through certain channels over time among the members of a social system. Individuals progress through 5 stages: knowledge, persuasion, decision, implementation, and confirmation. If the innovation is adopted, it spreads via various communication channels. During communication, the idea is rarely evaluated from a scientific standpoint; rather, subjective perceptions of the innovation influence diffusion. The process occurs over time. Finally, social systems determine diffusion, norms on diffusion, roles of opinion leaders and change agents, types of innovation decisions, and innovation consequences. (Rogers, 1962)Interprofessional team training evidence -- Multiple studies demonstrating in situ interprofessional team training to have positive effect on team member perceptions of teamwork. (Gaba, 2004) (Miller, 2008) (Small, 2008)
  4. Participation: Level One - The number of clinicians who participated in the learning activitySatisfaction: Level two - The degree to which the expectations of the clinicians about the setting and delivery of the learning activity were metLearning: Declarative knowledge: Level 3A – The degree to which clinicians state what the learning activity intended them to knowLearning: Procedural knowledge: Level 3B – The degree to which participants state how to do what the learning activity intended them to know how to doCompetence: Level 4 - The degree to which participants show in an educational setting how to do what the learning activity intended them to be able to doPerformance: Level 5 - The degree to which participants do what the learning activity intended them to be able to do in their practicesPatient Health: Level 6 - The degree to which the health status of patients improves due to changes in the practice behavior of participantsCommunity Health: Level 7 - The degree to which the health status of a community of Patients changes due to changes in the practice behavior of participants
  5. Unit determined by the following unit educator practicesRequired Bi-annual AHA Training for all staff delivered by VRP. (Policy 30-1.24)Education regarding adherence to Rapid Response System process (Policy 32.89.0) received in orientation.Required Bi-annual “Mock Code” simulation in “Hands on Clinical Safety”. Low fidelity simulation with ad hoc adult care staff in non-clinical simulation training space with variable numbers and specialty training of team. No physician providers present. Debrief style unknown and variable.Unit same specialty area. Unable to collect details about failure to recue debriefs to determine factors contributing. All nurses debriefed about failure to rescue.
  6. Convenience sample. Investigator implementing and evaluating workplace intervention.Required Bi-annual AHA Training for all staff. (Policy 30-1.24)Education regarding adherence to Rapid Response System process (Policy 32.89.0)Blended Learning: Online education regarding teamwork and communication during resuscitation and rapid response using TeamSTEPPS curriculum. (AHRQ, 206)Initially an email with attached power pointNow a Module with testOn unit setting: in patient room, now in unit simulation space. Briefing before simulationInterprofessional simulation of patient decline and cardiopulmonary arrest requiring early activation of rapid response system and BLS Debrief using Rudolph’s “non-judgmental” process (Rudolph, 2001), AHA quidelines (AHA, 2001), TeamSTEPPS RRS curriculum (AHRQ, 2006).
  7. Slider survey is very difficult to report out findings