Documentations of Advanced Heath Care Directives Where Are They TAI_SEALE
Documentations of Advanced Heath Care Directives Where Are They TAI_SEALE
1. Documentations of
Advance Health
Care Directives in
EPIC EHR:
Are They Easy to
Funding: Find and
Sutter Health Institute for
Research and Education /
Actionable?
Metta Foundation
2. 2
Research Team
Palo Alto Medical Foundation Research Institute
Ming Tai-Seale, PhD, MPH
Caroline Wilson, MSc
Sharon Tapper, MD
Peter Cheng, MD
Steve Lai, MD
Sutter Health Institute for Research and Education
Jeffrey Newman, MD, MPH
Frances Wu, MPH
Gratitude to Lubna Qureshi for Research Support
4. 4
From the Frontline
I used to look in the upper right corner in Epic
for code status and then search under
documents for code status discussions/DNR
forms. It wasn’t always so easy to find. Another
place I’d look was in the problem list if it said
“Advance care planning documented” (or
something like that), I’d know there was a form
somewhere in Epic and would go looking. As a
routine thing though, we all call the PCPs on
admission and it would come up in our
discussion verbally.
– Lisa Diamond, MD, Hospitalist
5. 5
Researcher: How many scanned
documents can there be in a
geriatric patient’s EHR?
Geriatrician: Oh, from a whole
lifetime, there are lots. One
can go crazy looking for an
advanced care planning form
among the scanned
documents.
7. 7
Background
Documents of patients’ wishes with
respect to life sustaining treatment.
Advance directive/living will - all adults
EPIC alert for patients 65 or older
Physician orders for life-sustaining treatment
(POLST) - nearing end-of-life
Designation of a surrogate decision maker
Durable power of attorney for health care
11. 11
A New Frontier
The ambulatory care setting is a new frontier
for delivery of palliative care services.*
Understanding patients’ preferences and
documenting them in accessible locations
can help honor patients’ wishes.
Advance directives specifying limitations in
end-of-life care were associated with
significantly lower levels of Medicare
spending, lower likelihood of inhospital
death, and higher use of hospice care in
regions characterized by higher levels of end-
of-life spending.**
* Meier & Beresford, J Palliative Medicine; 11, 2008; 823-828.
** Nicolas et al. JAMA 2011;306(13):1447-1453.
12. 12
Previous Literature
Surveys report that many patients do not wish to
receive aggressive treatment at the end of their
lives; however, these preferences are often
undocumented.*
Only 26% of geriatric patients who had executed
an advance directives had the directives
recognized**
EHR has been expected to make advanced
health care directives (AHCD) more retrievable.
Literature is relatively silent on how readily can
AHCDs be found.
*Nicolas et al. JAMA 2011;306(13):1447-1453
** Morrison et al. JAMA 1995, 274(6), 478-482
13. 13
Research Questions
Where are patients’ AHCD located in
EPIC EHR?
How easily can they be accessed?
Are they actionable?
Whatpatients and PCP characteristics are
associated with having AHCD
documentations in easily
accessible/actionable locations?
14. 14
Data and Methods
Study setting – multispecialty group
Retrospective EHR chart review
Inclusion criteria – Patients with any AHCD
documented in the EHR between
October 2008 and September 2011, in
Problem list
Scanned document
Progress note
15. 15
Locations and Search Terms
Location Terms
Problem list POLST, Advance Directive, or Palliative Care
Program (ICD9 code V66.7)
Scanned Advance Directive, Living Will, POLST, Do
document Not Resuscitate (DNR), Hospice, or Power of
Attorney decision
Progress “Adv Dir”, “Advance Directive”, “Code
note Status”, “DNR ”, “Do Not Resuscitate”,
“Living Will”, “POLST”, “Power of Attorney”,
“Cardiopulmonary Resuscitation (CPR)” or
“POLST form scanned,” and 3 POLST
dotphrases
16. 16
Analytical Approach
Generalized Estimation Equation (GEE) with logit link
Yi = β1Xi + β2Xj + ε (1)
where i indexes patients, and j indexes physicians.
Yi = 1 if patient has AHCD in accessible/actionable locations
0 otherwise, i.e., in progress notes only
Xi = patient: age, gender, race, health status (circulatory
disease, COPD, cancer, kidney disease, dementia, or liver
disease)
Xj = PCP: gender, specialty (internist, family medicine), the
number of years the physician has been working at the
Medical Group.
STATA11 XTGEE
18. 18
Patient Characteristics
Any ACHD POLST AD/LW
Patient (n=30,566) (n=7,486) (n=28,400)
%/ mean(SD) %/ mean(SD) %/ mean(SD)
Age in 2008 75 (7) 78 (7) 75 (7)
Female 60.6% 62.5% 60.6%
Not white 29.8% 28.8% 29.6%
Patient died 9.2% 19.5% 8.0%
COPD 30.9% 34.9% 30.5%
Cancer 27.2% 31.9% 27.1%
Liver Disease 2.6% 4.2% 2.2%
Circulatory 90.5% 94.1% 90.2%
Kidney 26.4% 38.4% 25.6%
Dementia 10.3% 20.4% 9.5%
19. 19
Physician Characteristics
Any ACHD POLST AD/LW
Internal medicine 49.3% 50.2% 49.1%
Family medicine 50.7% 49.8% 50.9%
Female 65.5% 65.3% 65.4%
Started at Medical
Group after 2000 63.0% 61.6% 62.9%
20. 20
Research Questions
Where are patients’ AHCD located in
EPIC EHR?
How easily can they be accessed?
Are they actionable?
Whatpatients and PCP characteristics are
associated with having AHCD
documentations in easily
accessible/actionable locations?
24. 24
# of Scanned Documents Per
Patient Per Year
# of any scanned documents
Mean 5
Median 3
Min 0
Max 354
# of AHCD scanned documents
Max 28
25. 25
Research Questions
Where are patients’ AHCD located in
EPIC EHR?
How easily can they be accessed?
Are they actionable?
Whatpatients and PCP characteristics are
associated with having AHCD
documentations in easily
accessible/actionable locations?
26. 26
ORs: Accessible & Actionable
Any ACHD
Pt Age in 2008 1.032**
Female patient 1.115**
Pt not white 0.654**
Dementia 1.325**
Cancer 1.201**
Liver Disease 0.848*
PCP Int Med 1.065
PCP Grp > 2000 0.657**
Constant 0.040**
N of patients 30,566
N of PCPs 284
GEE with Logit Link, *: p<0.05, **: p<0.01
27. 27
ORs: Accessible & Actionable
Any ACHD POLST
Pt Age in 2008 1.032** 1.033**
Female patient 1.115** 1.199
Pt not white 0.654** 0.841*
Dementia 1.325** 1.158
Cancer 1.201** 1.287*
Liver Disease 0.848* 0.845
PCP Int Med 1.065 0.493*
PCP Grp > 2000 0.657** 1.585
Constant 0.040** 0.004**
N of patients 30,566 7,486
N of PCPs 284 271
GEE with Logit Link, *: p<0.05, **: p<0.01
28. 28
ORs: Accessible & Actionable
Any ACHD POLST AD/LW
Pt Age in 2008 1.032** 1.033** 1.032**
Female patient 1.115** 1.199 1.110**
Pt not white 0.654** 0.841* 0.661**
Dementia 1.325** 1.158 1.377**
Cancer 1.201** 1.287* 1.196**
Liver Disease 0.848* 0.845 0.942
PCP Int Med 1.065 0.493* 1.130
PCP Grp > 2000 0.657** 1.585 0.589**
Constant 0.040** 0.004** 0.051**
N of patients 30,566 7,486 28,400
N of PCPs 284 271 283
GEE with Logit Link, *: p<0.05, **: p<0.01
29. 29
Conclusion
Three gaps
Lack of standardization
Not actionable, if unaccompanied by scanned
documents
Far fewer scanned documents to match the #s
in problem list
Hard to find scanned documents when there
are many
Disparities
Patient gender, race, illness conditions
Physician specialties, age/experience
30. 30
Caveat
POLST form is meant for EMT
Patient should have them on bedroom
door, fridge door, … places easily seen
Beyond the scope of this study to
examine if patients with POLST
documentations in EHR actually have the
form displayed at home
31. 31
Implications
- Honoring patients’
wishes
- Reducing
overtreatment
- Enhance care
coordination
* Berwick & Hackbarth, JAMA
online early April 2012
Advance directives specifying limitations in end-of-life care were associatedwith significantly lower levels of Medicare spending, lower likelihood of inhospitaldeath, and higher use of hospice care in regions characterized by higher levelsof end-of-life spending.
22 items on the problem list. Advance directive is in the middle.
25 scanned documents, from 2006 to 2012
Advance directives specifying limitations in end-of-life care were associated with significantly lower levels of Medicare spending, lower likelihood of inhospital death, and higher use of hospice care in regions characterized by higher levels of end-of-life spending
We also examine the probability of someone having a POLST documentation in a second analysis, and advance directives or living will in a third analysis. The empirical model can be written as:Y = β1Xi + β2Xj + ε (1)where i indexes patients, and j indexes physicians. Yis an indicator variable for having an AHCD only in the progress notes, with the the ith patient of the jth physician. Xi is a vector of variables for patient i including age, gender, race, health status measured by a vector of diagnoses for major illnesses such as circulatory disease, chronic obstructive pulmonary disease (COPD), cancer, or liver disease, died or not, Xj is a vector of physician variables including gender, specialty (internist versus other), the number of year the physician has been working at the Medical Group. We use a logit link for the probability of an AHCD being documented in progress notes (PN) only versus in other locations, e.g., problem list (PL), PL and scanned document (SD), SD+PL+PN, etc. Descriptive statistics for key explanatory variables are contained in Table xx. Stata 11 was used to conduct the analyses. The organization’s institutional review board approved the study.
Circulatory disease was identified by ICD-9 codes 390-459. Cancer includes all cancers other than non-melanomatous skin cancer.
Pleaes enter data in table 3
Non-significant vars are not included in the table.
Non-significant vars are not included in the table.
Non-significant vars are not included in the table.
If a firm produces 37% (all AHCD) to 84% (POLST) of its products in a state that cannot be used by its intended customers, the firm would need to undergo major changes in its production system. In the age of lean production approach, standardization is a fundamental prerequisite for efficient production and effective delivery of services.