Jana Katz-Bell & Madan Dharmar · Goal: Develop and evaluate an innovative program that uses nurse...
Transcript of Jana Katz-Bell & Madan Dharmar · Goal: Develop and evaluate an innovative program that uses nurse...
What is “UC Davis Health”
Single hospital academic health system
– School of Medicine
– Betty Irene Moore School of Nursing
– Practice Management Board
– UC Davis Medical Center and Primary Care Network
Research Clinical Education Service
INCREASE ACCESS TO SPECIALISTS
RE-IMAGINE SPECIALTY REFERRALS
Patient - Specialist
Live Video
Store and Forward
Live, two-way video between patient with remote PCP and tele-specialist
Transmission of history and images to specialist for diagnosis and treatment
Distance Learning
Videoconference-enabled training of PCPs by specialists
Electronic message exchange, including clinical question and related patient information
e-Consult
Syn
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no
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Liv
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Asyn
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Patient - PCP PCP - Specialist
Remote Patient Monitoring
Direct to Consumer
Live, two-way video between patient and generalist or PCP
IMPROVE PERSON-CENTERED CARE
Remote monitoring of patient with video and peripheral devices
History of telehealth at UC Davis 1992: Tele-fetal monitoring
1996 - 2005: Video telemedicine implemented with three sites and three specialties. Steady growth outpatient and inpatient services
2005-2015: Emphasis on statewide efforts
2015- now: Refining our telehealthstrategies to fit today’s demand and prepare for the future
Diverse strategies to achieve goals
•Specialty Referrals
•Distance Education
•ECHO
•EHR hosting
Referral Relationships
•eConsult
•Virtual Visits
•Chronic Disease Management models
Connected health/population
management
UC Davis Health E-Consults
Currently available in PCNs and hospital based clinics
• 22 subspecialties (both pediatrics and adult); and more being added
• Embedded in the Epic EMR integrated workflow
Patient visits with PCP; PCP requests E-consult with Specialist; Specialist completes consult/reports back to PCP
Allows for more intermediate steps -can request additional studies, ask follow up questions or convert to face-to-face referral
If face-to-face specialty visit needed, ensures patient sees the right specialist, has appropriate pre-visit imaging/lab tests, and is triaged based on clinical urgency
Virtual Visits – Care to the Home
Currently for established patients
– Post operative follow-up
– Specialty pharmacy (high risk/complex patients)
– Embedded in UC Davis patient portal
Urgent care with external vendor to respond to access issues
Exploration for recruitment and retention for clinical trial
One of the top 5 chronic diseases and a risk
factor for other conditions
Currently affects 29 million - almost 10% of
U.S. Population, expecting this to grow to 48.3
million by 2050
Modifiable behavioral risk factors (physical
inactivity, poor eating and sleep habits,
obesity and smoking)
Diabetes Mellitus
Budget: $2,098,246
Project Period: 3 years
Overall Goal: Develop and evaluate an innovative program that uses nurse health coaching, motivational interviewing techniques, and wireless sensor and mobile health (mHealth) technology.
P2E2T2 Program to Improve Health in Diabetes
Goal: Develop and evaluate an innovative program that uses
nurse health coaching with motivational interviewing techniques,
and wireless sensor and mobile health (mHealth) technology.
Aim 1: Refine and finalize the intervention elements (nurse
coaching, wireless sensor technology and mHealth framework,
relevant outcomes) with stakeholders
Aim 2: Integrate patient-generated goals and sensor data
into a mHealth dashboard linked back into the clinical record
Aim 3: Evaluate the effectiveness of the P2E2T2 Program
on diabetes management
Project Goal and Specific Aims
Patient Advisory Workgroup
Provider Advisory Workgroup
Technology Advisory Workgroup
Stakeholder Engagement
Key contributions for this project from advisors
Influencing systems: promotes understanding of systems issues/logistics/culture so that study design aligns and addresses barriers
Influencing people: credibility with expert consultation, opening doors to other stakeholders, creating a buzz and priority for the project
Influencing implementation: anticipating and addressing barriers, identifying opportunities
DATA Knowledge
ST
EP
S
You have trouble meeting your activity
goals on Mondays and Tuesdays. What
happens on those days? What changes
might you make?
Activity levels seem to be linked to your
sleep quality at night.
Certain night time meals and alcohol
intake appear to impact sleep quality and
mood
Your blood pressure has improved due to
changes you have made to your diet and
activity in the past 3 months!
Clinical Trial
Design: Two-arm randomized controlled trial (1:1)
Inclusion Criteria: English speaking adults, last A1C > 6.5%, willing to use technology to help manage diabetes
Outcomes: Self-efficacy (primary), quality of life, clinical indicators
Usual Care
•MyChart Activation and orientation
•Access to UCD Diabetes Resources through Health Management and Education
P2E2T2 Intervention
• Usual care orientation, plus
• Physical Activity, sleep and nutrition tracking technologies – Garmin/Basis, MyFitnessPal
• 6 RN Health Coaching Sessions with focus on patient identified goal setting
Planning Conference Call with Nurse Coach
Establish priority health issue and desired goals
Technology Meeting (In-Person)
Orientation and training
Five bi-weekly support calls
Review progress and discuss approaches
Review Patient Generated Data
Final Action Plan and Follow-up with Provider
Summarize goals and progress
Communicate to Provider
P2E2T2 Intervention
Self-Efficacy Diabetes Empowerment Scale – Short
Form (DES-SF)
Quality of Life
Patient Health Questionnaire depression
scale-9 (PHQ-9)
Perceived Stress Scale (PSS)
PROMIS (Emotional Distress, physical
function and sleep disturbance)
Readiness to Change Readiness to Change Survey
Clinical Indicators HbA1c
Patient Outcomes
Preliminary Results
Participant Characteristics– Age in Years: 59.4 (S.D= 11.4)
– Gender: 47.3% Female
– Race/Ethnicity: 61% White, 13.1% Black, 9.6% Asian, 9.9% Other
– Education: 40.9% Bachelor & Graduate or Professional Degree
Comparison of two groups– No difference at baseline
– Randomization successful
Conclusion
Significantly higher self-efficacy score in the
intervention
Differential impact based on their readiness to change
Variability in Usual care can confound the results
Investigators
Heather Young, PhD, RN, FAAN
(Principal Investigator)
Sheridan Miyamoto, PhD, FNP, RN
Madan Dharmar, MBBS, PhD
Yajarayma Tang-Feldman
Thomas Balsbaugh, MD
Bridget Levich, RN
Rupinder Colby (Project Manager)
Patient Advisory Board
Margaret Hitchcock, PhD
Mike Lawson
Diane Goodman, MA
Maria Ibarra
Tarunesh Singh
Eric Bowser
Joseph McCarthy
AcknowledgementsProvider Advisory Board
Tom Balsbaugh, MD
Patrick Romano, MD, MPH
Richard Kravitz, MD, MPH
Victor Baquero, MD
Deborah Greenwood, PhD, RN (Sutter
Health)
Antonio (Ben) Balatbat, MD (Dignity Health)
Frederick J. Meyers, MD, MACP
Jonalyn Wallace, RN, MSN
Prasanth Suramprudi, MD
Bridget Levich, RN, MSN
Barbara Pelletreau, RN, MPH (Dignity
Health)
Kameka Brown, PhD, FNP, RN (Veterans
Affairs)
CollaboratorsUC Davis Clinical and Translational Science Center
UC Davis Primary Care Clinics
Initiative for Wireless Health and Wellness Program
Center for Information Technology Research in the
Interest of Society
Technology Advisory Board
Mike Minear (CIO)
Kent Anderson, MS
Nick Anderson, PhD
Suresh Ram, MS
Scott MacDonald, MD
Amit Pande, PhD
Nina Amenta, PhD
Thomas Nesbitt, MD, MPH
Mike Hogarth, MD
Steven Chan, MD, MBA
Dan Weberg, PhD, MHI, RN
Jana Katz-Bell, MPH
Tod Stoltz, MBA
Kwan-Liu Ma, PhD
Matthew Lange, PhD
David Lindeman, PhD