New healthcare delivery models: Interprofessional, regional, international

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New healthcare delivery models: Interprofessional, regional, international Cheryl Hiddleson MSN, RN, CCRN-E Director, Emory eicu Center Timothy G. Buchman PhD, MD, FACS, FCCP, MCCM Founding Director, Emory Critical Care Center Emory eicu Center 10 Nov 2017 Disclosures: None

Disclosure/Disclaimer Neither speaker has financial interests or other conflicts relevant to this talk Dr. Buchman is Editor-in-Chief of Critical Care Medicine and also serves as an advisor to the not-forprofit James S. McDonnell Foundation, a grantmaking philanthropy, www.jsmf.org All opinions are personal and do not represent those of Emory, SCCM, CMS, or Critical Care Medicine

Talk Map Why eicu Outcomes based on recent research/emory outcomes The International Experience What has been learned What remains uncertain Where are we going.

Georgia s needs growing much faster than provider supply Patient Population The Over 65 s projected to increase by 39% in the next 8 years Physician Demand CCM MDs needed /100,000 population: 45.00% 40.00% 35.00% 30.00% 25.00% 20.00% 15.00% 10.00% 5.00% 0.00% -5.00% Growth Rate by Age Group 2017-2025 38.63% 10.71% 5.02% All GA 0-14 15-44 45-64 65+ Older Georgians require much more CCM service 7.66 4.94 1.48 0.13 0.3 9.44 18-24 25-44 44-64 65-74 75-84 85+ HRSA, 2006

Physician Gap AMA Masterfile Angus, 2000

Nursing Gap

Up to 30% of inpatient hospital costs on <15% of the beds, lots of machines, but where are the clinicians? Here we are

Bring Expertise to the bedside

The Emory Program: erns: 24 x 7 x 365 emds: nights weekends and holidays Industry standard convergent eicu platform Multiple EMR, physiologic monitors 16 locations, 136 beds in 5 hospitals (2 university, 1 hybrid, 2 community)

In Room Equipment

Bidirectional Audio Visual Capability

What we see: Air Traffic Control for the ICU

Detecting state at the bedside: what needs to be done Physiologic time series Heart (EKG) Vasculature (Blood Pressure) Lungs (CO 2 ) Brain (EEG) ECG II, mv theart n theart n 1 time, sec Beat-to-beat heart rate

Data displays that mirror how we think about patients needs

Situation Awareness Human Factors 37: 32-64 (1995)

What we are (really) doing: Detection/Correction of Anomalies Detect Classify Track Project Decide Act Assign Evaluate

Since go live May 2014 In the Clinical Operations Room: 92,852 ern hours 19,656 emd hours On Camera 2,439 emd Hours 3,702 ern Hours

Care Quality Improvements Decrease in severity-adjusted/actual mortality Decrease in severity-adjusted/actual LOS Increase in adherence to best practice for VTE

From: Hospital Mortality, Length of Stay, and Preventable Complications Among Critically Ill Patients Before and After Tele-ICU Reengineering of Critical Care Processes JAMA. 2011;305(21):2175-2183. doi:10.1001/jama.2011.697 Date of download: 4/17/2016 Copyright 2016 American Medical Association. All rights reserved.

From: Hospital Mortality, Length of Stay, and Preventable Complications Among Critically Ill Patients Before and After Tele-ICU Reengineering of Critical Care Processes JAMA. 2011;305(21):2175-2183. doi:10.1001/jama.2011.697 Date of download: 4/17/2016 Copyright 2016 American Medical Association. All rights reserved.

Mortality Ratios Emory eicu Results: Community-Centered Hospital 3.50 Mortality Ratios (Actual over Predicted) of eicu Monitored Patients 3.00 2.50 2.00 1.50 1.00 0.50 0.00 ICU Mortality Ratio Hospital Mortality Ratio APACHE Predicted erns emds

Lives Saved

LOS Ratios Emory eicu Results: Community-Centered Hospital 1.80 LOS Ratios (Actual over Predicted) of eicu Monitored Patients 1.60 1.40 1.20 1.00 0.80 0.60 ICU LOS Ratio (All Pts) ICU LOS Ratio (Excludes High Risk Stays) Hospital LOS Rate (All Pts) Hospital LOS Rate (Excludes High Risk Stays) erns emds

Resources Conserved

From: Hospital Mortality, Length of Stay, and Preventable Complications Among Critically Ill Patients Before and After Tele-ICU Reengineering of Critical Care Processes JAMA. 2011;305(21):2175-2183. doi:10.1001/jama.2011.697 Date of download: 4/17/2016 Copyright 2016 American Medical Association. All rights reserved.

VTE Best Practice Compliance 100.00% % of Patients on VTE Prophylaxis withing 24 hours of ICU Admit 90.00% 80.00% 70.00% 60.00% 50.00% 40.00% Jan-16 Feb-16 Mar-16 Apr-16 May-16 Jun-16 Jul-16 Aug-16 Sep-16 Oct-16 Nov-16 Dec-16 Jan-17 Feb-17 Mar-17 Apr-17 May-17 Jun-17 Jul-17 Aug-17 Sep-17 Pts on VTE Prophy within 24 Hrs of ICU Admit-eSearch

Emory total eicu operational costs are currently $643 per patient. $422+$155=$577 is break-even even if no downstream cost savings eicu staffing is based on patient ratios. This creates step fixed costs: if we monitored just 12 additional beds, our eicu costs per patient would drop to approximately $500 (varies depending on occupancy rates).

Emory eicu analysis by Abt Quantitative findings: Emory eicu compared to Nine other Hospitals Decrease of roughly $1,486 in average Medicare spending per episode (p<0.01) for a total of 4.6 million over the 15 month period Decrease in the rate of 60-day inpatient readmissions of 2.14% (p<0.10) Decrease in discharges to SNF and LTCHs of 6.9% (p<0.01) Increase in discharges to home health of 4.9% Declining trend in inpatient LOS for the two most recent quarters

Turning Night into Day July-December 2016

Key Elements of the Study/Trial Partner with a University health system in Australia. We chose Macquarie University Build a mini clinical operations room (COR) at the partner location Relocate Emory board certified intensivists and Emory critical care certified nurses to the partner site Have these team members cover the night shift during day time hours in Australia Operate simultaneously in the COR in Atlanta with erns and have an intensivist on call if needed

Trail Making Test Validated neuropsychological test visual attention task switching Consists of two parts (A and B) in which the subject is instructed to connect a set of 25 dots as quickly as possible while still maintaining accuracy Test can provide information about visual search speed, scanning, speed of processing, mental flexibility, as well as executive functioning

Timed tests Form A Form B Errors not allowed must correct as you go Connect the dots in ascending numerical order 1,2,3,4 25 Connect the dots in ascending and strictly ALTERNATING numerical and alphabetical order 1,A,2,B, 3, C 13

Subject Data 1: Nights, Jet Lag, Acclimatized to Days Form A -Av Form B-Av B-A Av Nights 14.25 19.9 5.65 Begin Shift 14.24 23.78 9.54 End Shift Jet Lag 13.225 19.925 6.7 Begin Shift 14.26 20.46 6.2 End Shift Days 12.325 17.825 5.5 Begin Shift 12.04 17.76 5.72 End Shift

Early Outcome Data Form A Typical completion times: 25-29 seconds Emory completion times on average much faster Fastest 12.04 end of 12 hours day time in Australia Slowest 14.26 after 12 hours during jet lag Form B Typical completion times: 49-75 seconds Emory completion times much faster Fastest 17.76 end of 12 hours day time in Australia Slowest 23.78 after 12 hours during night shift

On the ipad Self-Reported Fatigue

Anecdotal Feedback Although I have been a long time night shift worker and believed I have successfully flipped back and forth from nights to days, I found that being on a consistent day schedule means I sleep pretty much the same number of hours every night and wake up before my alarm goes off everyday. The most significant aspect for me, was the change from working nights to working days. I felt like I had more time. When working nights, you can either sleep when your get home, or stay up all day and change to a day routine. Either way, your feel tired, and exhausted, especially working 3 or 4 12hour shifts in a row. In Australia, I completed my assigned shifts, went home and slept. The next morning I was able to accomplish whatever I had planned. I was not exhausted and did not lose a day just to make the transition from nights to days.

Turning Night into Day

What has been learned In some circumstances, eicu consistently saves lives In some circumstances, eicu consistently saves costs In some circumstances, eicu enhances consistent practice eicu can support local teams when numbers and experience of bedside personnel are overwhelmed by complexity, acuity or volume

What is not known Where impact of eicu is least/greatest Bedside coverage (physician, APP, nursing, AHP) Patient complexity (low, medium, high risk) Influence of local culture on eicu effectiveness Influence of eicu on local culture Influence of eicu on aggregate quality, safety, access, financial performance

Next steps?