cost-effectiveness of pressure ulcer prevention initiated ... · • endorsed by public health...
TRANSCRIPT
Cost-effectiveness of Pressure Ulcer Prevention Initiated by Machine Learning
William V. Padula, PhD, MS, MScAssistant Professor
Department of Health Policy & Management
Twitter: @DrWmPadula
© 2015/2016, Johns Hopkins University. All rights reserved.
Acknowledgements• Unrestricted grant from AHRQ (1-F32-HS023710-01) • Collaborators:
• David Meltzer, MD, PhD• Peter Pronovost, MD, PhD• Mary Beth Makic, PhD, RN• Heidi Wald, MD, MSPH• John Bridges, PhD• Aelaf Worku, MD• Dane Moran, MPH• Andy Millis, MPH
• NPUAP Board of Directors• Commission on Magnet, ANCC Magnet® Recognition Program• Molnlycke Health Care – Speakers Bureau and Consultant
© 2015/2016, Johns Hopkins University. All rights reserved.
Overview• Introduction to Cost-Effectiveness Analysis
• Background on Pressure Ulcers
• Value of Preventing Hospital-acquired Conditions
• New Findings with Machine Learning Methods
© 2015/2016, Johns Hopkins University. All rights reserved.
Introduction to Cost-effectiveness Analysis
Need for measure of “Efficiency”
• Academic medicine• Government, especially outside the U.S.
– e.g. in U.S., Office of Technology Assessment, CDC– e.g. in U.K., National Institute for Clinical Excellence
• Private payers• Clinicians• Pharmaceutical and Biomedical companies
– “Pharmacoeconomics”– “Health Technology Assessment”
Growth in Demand for Cost-effectiveness Analysis
• Type of analysis
• Perspective
• Definition and measurement of costs
• Definition and measurement of benefits
Methodological Issues in Cost-effectiveness Analysis
• Cost-minimization– Least expensive method to accomplish a fixed objective– Problem: assumes objective should be met
• Cost-benefit– Costs and benefits measured in dollar terms– Select all treatments for which net benefit > 0– Problem: placing dollar value on outcomes
• Cost-effectiveness: ∆cost / ∆benefit– Select treatments with lowest cost-effectiveness ratios
Types of Analytical Methods
Incremental Cost-effectiveness Ratio (ICER)
Effectiveness Decreases
Effectiveness Increases
Cost Increases
Never Do Cost-effective
Cost Decreases
Cost-effective
Always Do
Cost-effectiveness of Medical Interventions
• The U.S. finds most health technologies cost-effective that are < $100,000/QALY to $150,000/QALY
• By Contrast, the UK only pays for technologies < $50,000/QALY
• Patients
• Providers
• Payers – Private: HMO, consumer– Public: Medicare, Medicaid, state mental health system
• Health Care Sector– All costs exchanged in a health system by payers, providers and patients– Includes out-of-pocket costs to patient, but not their time/productivity– Considers future health system costs for changes in utilization
• Societal– Includes all costs and benefits no matter to whom they accrue– Considers time-cost of patients and caregivers, including productivity– Accounts for future costs– Used by policy analysts (i.e., Panel on Cost-Effectiveness in Health and
Medicine)
Perspective
• Specific Outcomes --> General Outcomes– Cancers detected– Cancers cured– Life-years saved– Quality-adjusted life years (QALYs) saved
• Life-years weighted by quality of life weights between 0 (death) and perfect health (1)
• “Cost-utility analysis”• Endorsed by Public Health Service Panel on Cost-effectiveness in
Health and Medicine
– Disability-adjusted life years (DALYs) saved
Benefit / Effectiveness Measures
Wasteful Spending
© 2015/2016, Johns Hopkins University. All rights reserved.
Background on Pressure Ulcers
© 2015/2016, Johns Hopkins University. All rights reserved.
What are Pressure Ulcers?
NPUAP 2014
• Localized injury to skin and underlying tissue occurring over a bony prominence from pressure with friction/shear
• Recognized contributing factors:– Higher Acuity– Older Age– Malnourishment
• Hospital-acquired Pressure Ulcers (HAPUs)– Not present on admission (POA)– Costly to hospitals
© 2015/2016, Johns Hopkins University. All rights reserved.
Burden of Hospital-acquired Pressure Ulcers (HAPUs)
Berwick: Eliminating Waste in U.S. Health Care
$36-45 Billion spent on “failures of care delivery”
Financial Impact of Pressure Ulcers
• 4.5% HAPU incidence
• $500-130,000+ per case
• $11 billion/year in U.S.
Pressure Ulcers represent 0.3% of all healthcare expenditures
Berwick, JAMA 2012; Lyder, JAGS 2012; Kuhn, Nurs Econ, 1992; Padula, Med Care 2011
© 2015/2016, Johns Hopkins University. All rights reserved.
Evidence-based Practice Guidelines for HAPU Prevention
– Risk-assessment with Braden Scale8
– Initiate complete protocol for high-risk individuals
NPUAP 2014
© 2015/2016, Johns Hopkins University. All rights reserved.
Value of Preventing Hospital-acquired Pressure Ulcers
• Main comparators– Do-Nothing: Inconsistent
EBPs implementation– Prevention with EBPs
• Evidence-based practices for pressure ulcer prevention are cost-effective– Invest $55/patient/day in EBPs– Cost-saving
• *If practiced consistently*
Case #1: Decubitus Patient – Bed Refusal
• 55 yo white woman, obese (BMI=40)
• Wheelchair bound for ~15 years
• Postoperative CABG, pain in legs
• Stage I Pressure Ulcers on sacrum & heels
• Refuses to have air-fluidized bed brought in because too uncomfortable
Case #2: Rectal Bleeding – Colon Cancer?
• 61yo underweight black male
• Admitted for unexpected weight loss
• Occult blood in stool• Family Hx of colon
cancer• Patient not wanting to
get a colonoscopy…
Case #3: Menorrhagia/Anemia -Patient refusing blood transfusion
• 44yo Female, identifies as Jehovah’s Witness
• Menorrhagia and low Hgb level (2.5 g/dL)
• Religion does not allow her to receive a transfusion
• Can the medical team do anything else to help her?
Case #4: EOL Female wishing to be resuscitated
• 95yo Hasidic female with multiple CCs
• CKD, CAD, CABG, CHF, DM, PVD, amputation
• Admitted 2mo ago for AMI
• MD recommends DNR and palliative care
• The patient chooses to forgo palliative care/DNR – wants to survive at all costs
© 2015/2016, Johns Hopkins University. All rights reserved.
ICERs for Cases from Each Perspective
Value is in the Eyes of the Beholder
© 2015/2016, Johns Hopkins University. All rights reserved.
New Findings on Value with Machine Learning
© 2015/2016, Johns Hopkins University. All rights reserved.
EPUAP/NPUAP International Guidelines for Pressure Ulcer Prevention
– Risk-assessment with Braden Scale– Initiate complete protocol for high-risk individuals
EPUAP/NPUAP 2014
Item Limited - Unimpaired
Mobility 1 to 4
Sensory Perception 1 to 4
Nutrition 1 to 4
Activity 1 to 4
Moisture 1 to 4
Friction and Shear 1 to 3
© 2014, Johns Hopkins University. All rights reserved.© 2015/2016, Johns Hopkins University. All rights reserved.
Conceptual Framework: Leveraging Risk Data to Implement High-value Care
© 2015/2016, Johns Hopkins University. All rights reserved.
Our Study• Objective: to analyze the cost-utility of hospital resources to risk-
assess all patients or select risk-groups identified by machine learning compared to current standard of care
• Comparators• Implement pressure ulcer prevention on ALL patients• Prevention to select risk-groups of higher value
• Approach: Markov Model• Time Horizon: 1-day cycles for 365 days, or until patient discharge• Perspective: U.S. Societal• Main Outcome Measure: Cost (2015 USD) per Quality-adjusted Life
year (QALY) at a willingness-to-pay of $100,000/QALY• Sensitivity Analyses: Univariate and Multivariate Probabilistic• Data Source: Academic Medical Center EHR warehouse
© 2015/2016, Johns Hopkins University. All rights reserved.
Data Source• EHR Clinical Data Repository
• 600 bed Academic Medical Center using EPIC• 2 Certified Wound, Ostomy and Continence Nurses (CWOCNs)• Over 90,000 patient-encounters (2011-2014)• 7,000+ potential predictors of HAPU risk
- Age at admission- Braden Scores- Diagnoses
• Inclusion Criteria: AHRQ Patient-Safety Indicator 3, v3.2• Adults with Stage III, IV and Unstageable Pressure Ulcers• Pressure Ulcer not Present-on-Admission (POA)
© 2014, Johns Hopkins University. All rights reserved.© 2015/2016, Johns Hopkins University. All rights reserved.
Entity-Relationship Diagram of Data StorageImportant for Data Organization to Create a Markov Model
© 2014, Johns Hopkins University. All rights reserved.© 2015/2016, Johns Hopkins University. All rights reserved.
Modeling Transition ProbabilitiesA 10-state Markov model
Multi-state Modelling with R:the msm package
Version 1.6.4
Christopher JacksonMRC Biostatistics Unit
Cambridge, U.K.
© 2014, Johns Hopkins University. All rights reserved.© 2015/2016, Johns Hopkins University. All rights reserved.
Study Population
© 2014, Johns Hopkins University. All rights reserved.© 2015/2016, Johns Hopkins University. All rights reserved.
Transition Probabilities of Pressure Ulcers by Braden Score Age-adjusted
Minimal Risk At Risk Moderate
Risk High Risk Very High Risk Discharge PSI-03
Minimal Risk 0.0355 0.0139 0.004 0.0025 0.0005 0.9367 0.0068
At Risk 0.036 0.0152 0.0046 0.003 0.0006 0.9246 0.0159
Moderate Risk 0.0342 0.0157 0.0051 0.0035 0.0007 0.9051 0.0357
High Risk 0.033 0.0161 0.0055 0.0039 0.0008 0.8892 0.0515
Very High Risk 0.0323 0.0166 0.0058 0.0042 0.0009 0.8752 0.065
HAPU indicates hospital-acquired pressure ulcer; Minimal Risk, Braden score 19-23; At Risk, Braden score 15-18; Moderate Risk, Braden score 12-14; High Risk, Braden score 9-11; Very High Risk, Braden score <9
© 2014, Johns Hopkins University. All rights reserved.© 2015/2016, Johns Hopkins University. All rights reserved.
Model Parameters
© 2014, Johns Hopkins University. All rights reserved.© 2015/2016, Johns Hopkins University. All rights reserved.
Expected Results
Low cost to risk-stratify the population for Pressure Ulcers, but in general, at a deterioration in QALYs
© 2014, Johns Hopkins University. All rights reserved.© 2015/2016, Johns Hopkins University. All rights reserved.
Results of Sensitivity AnalysesProbabilistic Sensitivity Analysis
• Follow-up risk-assessment only among patients with Braden scores <19 dominated standard care ($1,745, 14.03 QALYs) in 50.89% of simulations
© 2015/2016, Johns Hopkins University. All rights reserved.
Discussion• Pressure Ulcer Prevention is cost-effective
• Costs approximately $100/day per patient• Cost-effective in all patients at $2,000/QALY• Risk-stratifying highest-risk patients (<19) is of
higher value
• Limitations• Generalizability: Only one hospital-EHR• Not all pressure ulcers are coded as a PSI-03• Uncertainty of inter-rater reliability in Braden Scores
© 2015/2016, Johns Hopkins University. All rights reserved.
Conclusions
• Using real-world data, we maintain that risk-assessment among all patients cost-effectively prevents pressure ulcers
• Hospitals should encourage nurses’ adherence to EPUAP/NPUAP International Guidelines to benefit patients instead of cost-cutting
© 2015/2016, Johns Hopkins University. All rights reserved.
Thank you
Follow me on Twitter:@DrWmPadula#econeval