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IHI Expedition: Palliative Care in the Emergency Department
Session 3
Tammie Quest, MD
Garrett Chan, PhD, APRN, FAEN, FPCN, FAAN
David Weissman, MD, FACP
These presenters have nothing to disclose
Today’s Host
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Kayla DeVincentis, Project Coordinator, has
worked at IHI since 2009, starting as an intern in
the Event Planning department. Since then, Kayla
has contributed to the STAAR Initiative, the IHI
Summer Immersion Program, and the IHI
Expeditions. Kayla obtained her Bachelor’s in
Health Science from Northeastern University and
brings her interest in health and wellness to IHI’s
Health and Fitness team.
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Overall Program Aim
The aim of this Expedition, Emergency Medicine and Palliative Care, is to help empower professionals to care for patients and families with palliative care needs in the emergency department setting.
The Expedition
Session #3: May 17th, 2012 1:30pm EST
� Measurement Strategies
Session #4: May 31st, 2012 1:30pm EST
� System Design and Improvement Tools
Session #5: June 14th, 2012 1:30pm EST
� Achieving Change That Will Endure
Introducing Today’s Faculty
Tammie E. Quest, MD• Associate Professor, Emory University
School of Medicine, Department of
Emergency Medicine and Division of
Geriatric Medicine, Atlanta VAMC
• Director, Emory Palliative Care Center
• Director, Improving Palliative Care –
Emergency Medicine (IPAL-EM)
• Director, Education in Palliative and
End of Life Care – Emergency
Medicine
Introducing Today’s Faculty
Garrett Chan, PhD, APRN, FAEN, FPCN, FAAN• Associate Adjunct Professor at the University
of California, San Francisco
• Lead Advanced Practice Professional and
Associate Clinical Director for the Emergency
Department Clinical Decision Unit
• Clinical Nurse Specialist with the Palliative
Care Service at Stanford Hospital & Clinics
• Author of leading peer reviewed articles in
palliative care in the emergency department
Today’s Focus…
• Review Homework
• Explore New Content
─Measurement Strategies
• Move forward on our trek…
Homework from Session 2
• Form a Project Workgroup to steer the
initiative
• Conduct a ED-wide meeting (invite
hospital leaders) to discuss potential
barriers and strategize on ways to
overcome them
• Identify 3 key barriers and 2 strategies to
address each one
�What were you able to do?
�What did you learn?
�What successes did you have?
�What barriers did you encounter?
Discussion of Homework
Objectives of Session 3
Measurement Strategies
• Identify key areas for measurement of impact of a palliative care initiative in the ED
• Identify the 3 key types of palliative care metrics of a palliative care initiative in the ED
• Describe target patient populations for measurement
Reminder -
What do ED staff members care about?
• Providing excellent patient care
• Triage and disposition
• Optimizing and efficiently using ED
resources
• Reducing ED length of stay
• Increasing ED throughput
• Decreasing ED boarding of admitted
patients
• Increasing patient/family satisfaction
• Effective risk
management/compliance
• Meeting core hospital measures (Joint
Commission)
• System-Focused─ Improved ED/Hospital
Metrics�Less ED crowding
�Less use of non beneficial treatments
�Reduced hospital length of stay
�Fewer readmissions
�Fewer inpatient and ICU deaths
─ Improved Patient Safety�Smoother transitions
across care sites
Reminder -
What do ED staff members care about?
Before Measurement:
Know Your ED Characteristics
• ED size
─Visits/year, beds, observation unit
• Admission rate
─Number, acuity
• Core ED Metrics
─Average/median LOS
• Special populations
─Sickle Cell Disease, Pulmonary Fibrosis, Advanced Heart Failure/LVAD)
ED- Palliative Care
Measurement
(Metrics)
Garrett Chan, PhD, APRN, FAEN,
FPCN, FAAN
4 Steps to Make the Most of
Measurement
1. Complete a needs assessment
(Expedition Sessions 1 & 2)
2. Select Metrics that are easily obtainable
3. Determine how often data should be
collected
4. Develop a system to report and use your
data
Reference Document
http://ipal-live.capc.stackop.com/downloads/ipal-em-evaluation-of-
ed-palliative-care-metrics-quality.pdf
Axiom
• Only measure data elements that will
make an impact or drive change
Axiom
• Decide what to measure by discussing
with key stakeholders
Narrow Down Your Patient
Population for Measurement
Patient Selection
Starters…I.Transfers from a long-term care facility or medical foster
home
II.Metastatic or locally advanced incurable cancer
III.Hospice program enrollee
IV.Out-of-hospital cardiac arrest
V.Advanced dementia (defined as needing assistance with
all ADLs, having limited to no coherent speech or
ambulation, and incontinence)
ED-Palliative Care Metrics
• Three categories of metrics are
recommended:
I. Operational
II. Clinical
III. Customer service
ED-Palliative Care Service
Metrics
I. Operational metrics: to assess patient
flow, disposition, readmissions and
resource utilization
II. Clinical metrics: to assess quality of
clinical care services
III. Customer metrics: to assess
satisfaction data from patients/families
Operational Metrics
Operational Metrics
Informs the ED staff about patient flow and
outcomes of patients with high likelihood of
palliative care needs
Patient Selection
Starters…I.Transfers from a long-term care facility or medical foster
home
II.Metastatic or locally advanced incurable cancer
III.Hospice program enrollee
IV.Out-of-hospital cardiac arrest
V.Advanced dementia (defined as needing assistance with
all ADLs, having limited to no coherent speech or
ambulation, and incontinence)
Data Elements for Collection
• 1. ED LOS-hours
• 2. ED discharge status
─ death in ED
─ admit-ward
─ admit ICU
─ admit Palliative Care Unit
─ hospice referral (home or
other site)
─ Long term care
─ Home
• 3. Death within 72 hours of
hospital admission (ICU vs.
ward)
• 4. Hospital total and average
daily direct cost
• 5. ED referrals for palliative
care consultation in ED
• 6. ED referrals for hospice
Report by Diagnostic Category
• Report by Diagnostic Category
─Mean/median ED LOS (hours)
─Discharge status
�% Returning to ED within 30 days
�% readmitted to hospital within 30 days
─Number of hospice referrals
─Number of palliative care referrals (if available)
─Hospital direct cost (admissions only)
Clinical Metrics
Clinical Metrics
• Identify gaps in patient care
• Denominator:
─Tailor Key populations you decide for your program
─ May use the IPAL-EM 5 key populationsI. Transfers from a long-term care facility or medical
foster home
II. Metastatic or locally advanced incurable cancer
III. Hospice program enrollee
IV. Out-of-hospital cardiac arrest
V. Advanced dementia
Clinical Metrics: Examples
• % of patients where the health care
decision-maker is documented in the
medical record
• % of patients prescribed opioids with
bowel regimen on discharge
• % patients with documented pain
assessment on presentation
Clinical Metrics: Examples
• % families with documented offer of
spiritual support after ED death
• % patients in target populations who have
a documented palliative care assessment
• % caregivers in target patient populations
screened for caregiver strain
Customer Service
Patient-Surrogate Satisfaction
• Important perspective of emergency
department palliative care
• Accessible domains:
─communication
─end-of-life care experience
─other?
Customer Satisfaction Metrics:
Examples
• % of live ED discharges who reported they
were fully informed about their
condition/treatment options
• % of surrogates/families who report
excellent end-of-life care after ED death
• % of patients reporting excellent
pain/symptom management
Determine How Often Data
Should be Collected
Domain Example
Operational Continuous Data Collection
with Monthly Reporting
Clinical Service 10-20 Charts Reviewed
(Quarterly)
Customer Service Interval of Usual ED
Survey (Quarterly)
Develop a System
to Report Your Data
• Regularly present the
data (e.g. monthly,
quarterly) to:
─ED leadership
─Palliative care leadership
─Hospital leadership
Use the Data to Improve
• Identify and design
focused quality
improvement
projects to enhance
both clinical
processes and
outcomes
Homework
Before Session 4
• Review charting/EMR systems
• Identify other potential sources of data (eg,
hospital databases)
• Select a preliminary panel of key metrics
with specified data sources
Next Session
Thursday, May 31, 1:30 PM – 2:30 PM ET
Session 4 – System Design and Improvement Tools
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