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A / Prof Arthas Flabouris presented this at the 2014 Managing the Deteriorating Patient Conference. The conference discussed the latest strategies to recognise and respond to the acute patient in clinical deterioration. You can find out more about next year's conference at http://bit.ly/1sjQubi
Citation preview
Observing the Observation Chart
Introducing a Multi-tiered Patient Observation Chart
A/Prof Arthas Flabouris
Intensive Care Unit, Royal Adelaide Hospital
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Occurrence of RR > 36 within the 24 hour period prior to events (columns labelled with actual documented RR).
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Occurrence of SBP<90 mmHg within the 24 hour period prior to events (columns labelled with actual documented SBP).
Trinkle RM, et al. Resuscitation 2011;82:810-14
Recognizing and Responding to Clinical Deterioration
• Adult general observation chart • a system for recording patient observations
• a system for displaying thresholds for each observation
• specifies escalation of care when threshold is encroached.
• Designed to record • Respiratory Rate
• Oxygen saturation
• Heart Rate
• Blood Pressure
• Temperature
• Consciousness Level
Observation Charts
Observation charts design is important to how vital signs are recorded and failure to interpret and detect critical values Five different charts within one hospital, found that the design of the charts had a significant effect detection of patient deterioration
Chatterjee MT, et al. Postgraduate Medical Journal. 2005;81:663-6. Preece MHW, et al. Resuscitation 2012;83:1111-1118
Post Track and Trigger Systems
• Implementation of MEWS and MET using COMPASS education program
• Increased vital sign recordings in post ICU discharge group, but not for unplanned admissions
• 25% of observations not recorded in full • Hammond N, et al. Australian Critical Care, 2013:26;18-22
• Only 38% of patients with abnormal MEWS were escalated
• Niegsch M, etal PLoS ONE 8(7):e70068
Observation Charts
Recording Patient Observations
Observation of Patient Observation Charts
Incidence (N=206 patients)
Prevalence (N=416 patients)
Gender (Female) 98 (52.4%) 210 (50.4%)
Age (median, IQR) 72 (59, 85) 76 (62, 85)
NFR 69 (33.5%) 95 (22.8%)
Medical Surgical
135 (65.5%) 71 (34.5%)
321 (77.2%) 95 (22.8%)
Patient Observation Charts - Triggers
Incidence (N=206 patients)
Prevalence (N=416 patients)
MER Trigger 83 (40.3%) 17 (4.1%)
MDT Trigger 103 (50%) 45 (10.8%)
Nurse Trigger 154 (74.8%) 178 (42.8%)
Any Trigger 166 (80.6%) 193 (46.4%)
Incidence (N=3465 triggers)
Prevalence (N=559 triggers)
MER Trigger 285 (8.2%) 34 (6.1%)
MDT Trigger 825 (23.8%) 87 (15.6%)
Nurse Trigger 2355 (68%) 438 (78.4%)
Patient Observation Charts - Triggers
Incidence (All patients N= 206)
Hospital Discharge Alive
(N=177)
Hospital Discharge Dead
(N=29)
P value
MER Trigger 64 (36.2%) 21 (72.4%) <0.001
MDT Trigger 80 (45.2%) 23 (79.3%) 0.001
Nurse Trigger 128 (72.3%) 25 (86.2%) 0.113
Any Trigger 140 (79.1%) 26 (89.7%) 0.183
Impact of Patient Observation Charts
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RRT calls by 1000 Overnight stay
45.1 calls/1000 OS
82.7 calls/1000 OS
Impact of Patient Observation Charts
• 14.3 -> 21.2/1000 hospital admissions increase in RRT activity
• Almost twice as many more calls for patients who were admitted to hospital within 24 hours and for patients who were transferred from acute care areas within 24 hours
• Almost three times as many more repeat calls for the same patient
• Amit Kansal, et al. Crit Care Resusc 2012; 14: 38–43
Patient Observation Charts - Calls
Incidence (N=206 patients)
Prevalence (N=416 patients)
MER Call 62 (30.1%) 7 (1.7%)
MDT Call 63 (30.6%) 19 (4.6%)
Nurse Call 92 (44.7%) 48 (11.5%)
Any Call 122 (59.2%) 60 (14.4%)
Incidence (N=3465 triggers)
Prevalence (N=559 triggers)
MER Call (% MER Triggers) 99 (34.7%) 8 (23.5%)
MDT Call (% MDT Triggers) 180 (21.8%) 26 (29.9%)
Nurse Call (% Nurse Triggers) 330 (14%) 74 (16.9%)
Any Call (% all Triggers) 609 (17.6%) 108 (19.3%)
Patient Observation Charts - Calls
Incidence (All patients N= 206)
Hospital Discharge
Alive (N=177)
Hospital Discharge
Dead (N=29)
P value
MER Call 49 (27.7%) 12 (41.4%) 0.134
MDT Call 53 (29.9%) 11 (37.9%) 0.389
Nurse Call 82 (46.3%) 9 (31%) 0.124
Any Call 102 (57.6%) 20 (69%) 0.249
Impact of Patient Observation Charts
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Daily Distribution of RRT Calls
PreChart PostChart
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Daily Distribution of RRT Calls
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Impact of Patient Observation Charts
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Criteria for RRT Calls - Pre and Post Chart
HighResp Pulse140
SBP80_90 LowConsciousness
Worried_All Pulse40
0%
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1 Q 2012
2 Q 2012
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2 Q 2014
Criteria for RRT Calls - Pre and Post Chart
HighResp Pulse140
SBP80_90 LowConsciousness
Worried_All Pulse40
Impact of Patient Observation Charts
Amit Kansal, et al. Crit Care Resusc 2012; 14: 38–43
Impact of Patient Observation Charts
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Cardiac Arrests, Unanticipated Intensive Care admits and Deaths by 1000 Overnight stay
CA calls by 1000 Overnight stay ICU_by1000Overnight_stay Deaths_by1000Overnight_stay
3.3 vs 3.2 calls/1000 OS, p=0.65
16.8 vs 17.2 admits/1000 OS, p=0.72
22.5 vs 22.8 deaths/1000 OS, p=0.71
Impact of Patient Observation Charts
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Outcome of RRT Call
ICU-SDU Died LeftInWard
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Outcome of RRT Call
Died ICU-SDU LeftInWard
68 year old male admitted to ICU from ED with pneumonia Extubated 4 days ago No other organ failure Mobile to chair RR=26 SaO2=96% O2=3L/nasal specs SBP=130 PR=102 GCS=15 Ready for ward?
Patient observation charts - Modifications
Incidence (N=206 patients)
Prevalence (N=416 patients)
MER Modification 30 (14.6%) 11 (2.6%)
MDT Modification 58 (28.2%) 21 (5%)
Nurse Modification 66 (32%) 57 (13.7%)
Any Modification 91 (44.2%) 72 (17.3%)
Incidence (N=3465 triggers)
Prevalence (N=559 triggers)
MER Modification (% MER Triggers) 122 (42.8%) 23 (67.6%)
MDT Modification (% MDT Triggers) 325 (39.4%) 41 (47.1%)
Nurse Modification (% Nurse Triggers) 624 (26.5%) 156 (35.6%)
Any Modifications (% all Triggers) 1071 (30.9%) 220 (39.4%)
Patient Observation Charts - Modifications
Incidence (All patients N= 206)
Hospital Discharge
Alive (N=177)
Hospital Discharge
Dead (N=29)
P value
MER Modifications 17 (9.6%) 14 (48.3%) <0.001
MDT Modifications 42 (23.7%) 14 (48.3%) 0.006
Nurse Modifications 57 (32.2%) 11 (37.9%) 0.543
Any Modification 72 (40.7%) 19 (65.5%) 0.013
Afferent Limb Failure Trinkle RM, et al. Resuscitation 2011;82:810-14
• Of 575 events, 131 (22.8%) had documented ALF
• of which 47/131 (35.9%) had more than one documented ALF within 24 hour period
• Patients with ALF, compared to those without ALF, were significantly more likely to have an unanticipated ICU admission
• 45/131 (34.4%) vs 100/443 (22.5%), p=0.01
Patient Observation Charts - Afferent Limb Failure
Incidence (N=206 patients)
Prevalence (N=416 patients)
MER ALF 30 (14.6%) 4 (1%) MDT ALF 67 (32.5%) 16 (3.8%) Nurse ALF 128 (62.1%) 111 (26.7%) Any ALF 140 (68%) 118 (28.4%)
Incidence (N=3465 triggers)
Prevalence (N=559 triggers)
MER ALF 42.3% 45.5% MDT ALF 66.4% 52.2% Nurse ALF 80.9% 75.5% Any ALF 75.2% 71.4%
Impact of Patient Observation Charts - Afferent Limb Failure
Incidence (All patients N= 206)
Hospital Discharge
Alive (N=177)
Hospital Discharge
Dead (N=29)
P value
MER ALF 22 (12.4%) 8 (27.6%) 0.032
MDT ALF 58 (32.8%) 9 (31%) 0.853
Nurse ALF 105 (59.3%) 23 (79.3%) 0.040
Any ALF 117 (66.1%) 23 (79.3%) 0.158
Post Track and Trigger Systems
Time to intervene? A review of patients who underwent cardiopulmonary resuscitation as a result of an in-hospital cardiorespiratory arrest. A report by the National Confidential Enquiry into Patient Outcome and Death (2012) 526 case notes
Observation Charts
Triggers
Trigger Category
Trigger Total % Calls % Modification % ALF
Nurse SaO2=90-94% 658 7.6% 38.3% 87.7%
Nurse RR=21-25 422 9.0% 35.8% 86.0%
Nurse Pulse=100-120 381
13.4% 30.7% 80.7%
Nurse Pain Score = 5-7 314
49.0% 0.0% 51.0%
MDT SBP=90-100 263 12.2% 39.5% 79.9%
MDT SBP=180-200 176
24.4% 30.7% 64.8%
Nurse Pulse=50-60 176
13.6% 27.8% 81.1%
Nurse SBP=170-180 150 17.3% 18.7% 78.7%
MDT Pulse=120-140 124
21.8% 52.4% 54.2%
MDT RR=26-30 122 21.3% 52.5% 55.2%
MER SBP<90 98
36.7% 39.8% 39.0%
Nurse Conscious=2 81 13.6% 8.6% 85.1%
Trigger Category
Trigger Total % Calls %
Modification % ALF
Nurse Worried 2 100.0% 0.0% 0.0%
MER Cardiac Arrest 2 100.0% 0.0% 0.0%
MER Pulse<40 2
100.0% 0.0% 0.0%
MER Worried 2
100.0% 0.0% 0.0%
MER Pulse>140 26 53.8% 50.0% 0.0%
MDT Pain Score = 8-10 69 52.2% 4.3% 45.5%
Nurse Pain Score = 5-7 314 49.0% 0.0% 51.0%
MER SBP>200 41 39.0% 29.3% 44.8%
MER Conscious=3 8
37.5% 62.5% 0.0%
MER SBP<90 98 36.7% 39.8% 39.0%
MDT O2 flow > 6l/min 9 33.3% 44.4% 40.0%
MDT Temp>38.6 30 30.0% 3.3% 69.0%
Trigger Category
Trigger Total % Calls % Modification % ALF
MDT RR=8-10 7 14.3% 71.4% 50.0%
MER Conscious=3 8 37.5% 62.5% 0.0%
MDT Pulse=40-50 21
9.5% 61.9% 75.0%
MDT RR=26-30 122
21.3% 52.5% 55.2%
MDT Pulse=120-140
124 21.8%
52.4% 54.2%
MER Pulse>140 26 53.8% 50.0% 0.0%
MER RR>30 41 29.3% 48.8% 42.9%
MER SaO2<90% 65 18.5% 47.7% 64.7%
MDT O2 flow > 6l/min
9 33.3%
44.4% 40.0%
MER SBP<90 98 36.7% 39.8% 39.0%
MDT SBP=90-100 263 12.2% 39.5% 79.9%
Nurse SaO2=90-94% 658 7.6% 38.3% 87.7%
Trigger Category
Trigger Total % Calls % Modification % ALF
Nurse SaO2=90-94% 658 7.6% 38.3% 87.7%
Nurse RR=21-25 422 9.0% 35.8% 86.0%
Nurse Conscious=2 81
13.6% 8.6% 85.1%
Nurse O2 flow = 6l/min 59
11.9% 22.0% 84.8%
Nurse Pulse=50-60 176 13.6% 27.8% 81.1%
Nurse Pulse=100-120 381 13.4% 30.7% 80.7%
MDT SBP=90-100 263 12.2% 39.5% 79.9%
Nurse SBP=170-180 150 17.3% 18.7% 78.7%
Nurse Temp=35.1 - 35.5 17
23.5% 0.0% 76.5%
MDT Pulse=40-50 21 9.5% 61.9% 75.0%
Nurse Temp=38.1 - 38.6 70 22.9% 10.0% 74.6%
MDT Temp>38.6 30 30.0% 3.3% 69.0%
Observation Charts
Escalation
Adverse Event Hospital Outcome p-Value Alive Dead
All Events CCR 55 (69.6%) 24 (30.4%) CCD 135 (75.4%) 44 (24.6%) HTR-Only 188 (56.5%) 145 (43.5%) < 0.001
Cardiac Arrest CCR 2 (66.7%) 1 (33.3%) CCD 0 (0.0%) 9 (100.0%) HTR-Only 2 (10.0%) 18 (90.0%) -
MET Call CCR 29 (72.5%) 11 (27.5%) CCD 103 (80.5%) 25 (19.5%) HTR-Only 139 (60.4%) 91 (39.6%) < 0.001
Unanticipated ICU Admission CCR 24 (66.7%) 12 (33.3%) CCD 32 (76.2%) 10 (23.8%) HTR-Only 47 (56.6%) 36 (43.4%) 0.092
• In the 24 hours prior to an adverse event – 13% have a RRT – 30% discharged from
critical care area – 58% reviewed by Home
Team only – 98% have a review/critical
care discharge
• Type of response to patient clinical deterioration contributes to patient outcomes.
• Trinkle R, et al.Resuscitation 82 (2011) 810–814
Reviews and adverse events
Summary for Observation Charts
• Design features of patient observation charts has improved compliance with documentation of vital signs
• Completeness and accuracy, improved but still remain in question
• Increased RRT “dose” • Should be a good thing, but…
• Uncertain evidence if associated with improved outcomes
• Resource implications
Summary for Observation Charts
• Afferent Limb Failure • Is proven to be harmful • Is still a problem not solved solely by the charts • Does chart design contribute to Afferent Limb Failure? Possibly
yes through the type of trigger and threshold selected
• New phenomena of “documented modifications”
• Is it good? May be bad • Are “modifications” another form of Afferent Limb Failure? • Does chart design contribute to modifications / Afferent Limb
Failure? • Objective or subjective modifications?
Summary for Observation Charts
• Escalation response • Multi or Single tiered?
• Graded?
• Timely
• Level of seniority
• Expertise – Critical Care? Other? Multidisciplinary?
Patient Observation Charts and their limitations in the detection
and response to the deteriorating patient
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Distribution of lowest systolic blood pressure
Cretikos M, et al Resuscitation 2007;73:62-72
Do Observation Charts provide adequate warning?
27.4% did not have any criteria present in the 48 hrs prior
Patient Observation Charts – is their a “downward spiral”?
7.0%
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In the 24 hours prior to a RRT calls: • 12.8% have had a
previous RRT • 5.8% have had a
prior MDT • 5% had a Nurse
Review
Patient Observation Charts – not the most important factor
More than one way to detect the deteriorating patient
• Intuition or knowing that something is not right • Knowing the patient and recognizing changes in behaviour
or physical signs
• Pattern recognition, where nurses, through repeated exposure recognize deviations from the normal clinical course
• Most common means, but also the most challenged by the hospital environment
• Patient and/or family raising concerns
• Coming across the patient through routine observation
Odell M, et al Journal of Advanced Nursing 2009;65(10), 1992–2006.
• Routine recording of vital signs has become ritualistic and more task oriented
• Delegated to the most junior staff
• Over reliance on, and a miss-understanding of the limitations of, equipment
• Insufficient time, training, experience to undertake a more thorough assessment beyond that of vital signs
Change in culture as to how we observe patients
Patient Observation Charts and the evolving hospital
environment
Admit via ED and RRT calls
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Median time to RRT - Pre chart period 68:25, Post Chart Period 58:24, p=0.05
Number and time to RRT call of patients admitted rom the Emergency Department
RRT Calls ED to RRT Time
Correlation of EDLOS and time to first RRT following admission from the ED = - 0.055, p=0.03
Outcomes at time of a RRT Call
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Trends over time with limitations of care at time of a RRT Call
NFRbyMET NFMETatMET ModifiedMETatMET ExistingNFR
The End
QUESTIONS and COMMENTS