Team Lift: Predicting Medication Adherence
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Medication non-adherence is a significant public health issue, with 20-30% of prescriptions never being filled and contributing to increased healthcare costs and poor health outcomes. The document discusses factors influencing medication adherence, such as socioeconomic factors and patient-related behaviors, and emphasizes the need for tailored interventions to improve adherence rates. Utilizing advanced data analytics and consistent measurement of medication adherence can lead to more effective healthcare strategies and better patient outcomes.
![Inferences from our predictive models are largely inline with our hypothesis
• Public Health factors – State, County, Area
• Personal factors – Age, Income, Race,
Sex, Education, Insurance
• Medication factors – Number of pills,
Patient payments, Cost of drugs, Other
chronic diseases
Factors that influence nonadherence
for cardio vascular diseases
Model Summary
Variables actually used in tree construction:
[1] Area.name Avg_Annual.Average.Pay BENE_BIRTH_DT
[4] BENE_RACE_CD BENE_SEX_IDENT_CD BENRES_CAR
[7] BENRES_OP MEDREIMB_CAR MEDREIMB_OP
[10] Num_Pills PPPYMT_CAR PTNT_Pays
[13] RX_Cost SomeColPct SP_ALZHDMTA
[16] State
Root node error: 1821/10308 = 0.17666
n= 10308
We can add more personal and behavioral factors to improve the
accuracy of our model further
Most nonadherence is not caused by
side effects or drug costs. Rather the
problem is behavioral, simple
procrastination and forgetfulness.](https://image.slidesharecdn.com/teamlift-predictingmedicationadherence-151105205427-lva1-app6892/85/Team-Lift-Predicting-Medication-Adherence-11-320.jpg)
![Effective interventions - Automated call helped increase the number of
prescriptions that were filled, indicating improved adherence.
Source: Derose SF, Green K, Marrett E. Automated outreach to increase
primary adherence to cholesterol-lowering medications
[published online November 26, 2012]. Arch Intern Med. 2013.
Automated call system in patients
with primary non-adherence to
statin medication](https://image.slidesharecdn.com/teamlift-predictingmedicationadherence-151105205427-lva1-app6892/85/Team-Lift-Predicting-Medication-Adherence-12-320.jpg)
![Each intervention must be tailored to individual patients. Incentives of all
stakeholders needs to be aligned to improve medication adherence.
Source: Derose SF, Green K, Marrett E. Automated outreach to increase
primary adherence to cholesterol-lowering medications
[published online November 26, 2012]. Arch Intern Med. 2013.
Improve medication adherence
• Behavioral – audible reminders, smart pill
boxes and auto-refills counteract
procrastination and forgetfulness.
• Financial – Lower cost pharmacies,
generics, and payment assistance make
medication more affordable.
• Clinical – Pharmacist consultations and
therapeutic resources help address
medical concerns.
Improve Medicare systems
• Medication Adherence rates are far from
optimal but CAN be improved through
collaboration and alignment of incentives
for plans, physicians and pharmacists
• Ongoing, consistent, measurement of
medication adherence rates is important to
gauge improvement and to identify “best
practices” across plans, physicians and
pharmacists
• What gets measured…. Gets improved!
Source: Nau D The importance of measuring adherence Pharmacy Quality
Alliance [published online November 7, 2011].](https://image.slidesharecdn.com/teamlift-predictingmedicationadherence-151105205427-lva1-app6892/85/Team-Lift-Predicting-Medication-Adherence-13-320.jpg)
Team Lift: Predicting Medication Adherence
- 1. Predicting Medication Adherence Team Lift Alteryx Data Challenge Overview of submission October 29th, 2015
- 2. Our Team Data by itself isn’t worth anything unless there’s a problem to solve and a community to solve it. - Beth Noveck, Founder, GovLab Suresh Prasanth Bala Sakthi
- 3. Medication non-adherence is a major and growing public health concern, as 20% to 30% of medication prescriptions are never filled consistently. Bad news is that we aren’t reaching 50% medication adherence 100% 88% 76% 47% Rx Prescribed Rx Filled Rx Taken Rx Continued Medication Adherence Source: American Heart Association: Statistics you need to know. http://www.americanheart.org/presenter.jhtml?identifier=107 Accessed November 21, 2007.
- 4. Investment in medication adherence can lead to dramatic improvements in effectiveness of treatments Why adherence matters? • Results of failure to adhere to prescribed medications: – Increased hospitalization – Poor health outcomes – Increased costs – Decreased quality of life – Patient death About 30% to 50% of treatment failures are due to medication non- adherence. These treatment failures are estimated to cause 125,000 deaths annually. Source: Benner JS, Glynn RJ, Mogun H, Neumann PJ, Weinstein MC, Avorn J. Long-term persistence in use of statin therapy in elderly patients. JAMA 2002;288:455-461
- 5. Investment in medication adherence can lead to dramatic reductions in overall cost of care Diabetes Medication level of Adherence $8,812 $6,959 $6,237 $5,887 $3,808 $55 $165 $285 $404 $763 1-19% 20-39% 40-59% 60-79% 80-100% Rx $ Medical $ Healthcare expenditure ($/year) Outcome is significantly higher than outcome for 80-100% adherence group (P<0.05). Differences were tested for medical cost and hospitalization risk. Source: Sokol M et al. Impact of Medication Adherence on Hospitalization Risk and Healthcare Cost. Medical Care. Volume 43, Number 6, June 2005
- 6. Medication adherence needs to be addressed in Primary Care Top reasons for nonadherence • Cost of medications • Side effects/fear of side effects • Forget/can’t keep track of medications/complexity • Don’t think it works/don’t need it Complex human behavior Source: Sokol M et al. Impact of Medication Adherence on Hospitalization Risk and Healthcare Cost. Medical Care. Volume 43, Number 6, June 2005 Source: Nasseh K, et al. Cost of medication nonadherence associated with diabetes, hypertension, and dyslipidemia. Am J Pharm. 2012;4.2:e41–e47. • Socioeconomic factors (age, race, gender, economic status) • Patient-related factors (knowledge, attitudes, beliefs, and skills) • Condition/treatment related factors (disease severity, co-morbidity, regimen complexity, side effects) • Provider factors (skill, training, resources) • Setting/policies (access to care, Rx coverage)
- 7. Blending data from different sources was key to derive predictors & classifying patients based on adherence Source: www.cms.gov www.nlm.nih.gov/research/umls/rxnorm/docs/rxnormfiles.html www.census.gov Medicare - Primary Data Source Drug Information Disease Information rxNorm Data Economic Information Social Information Household Information Census Data Patient Information Medicare Part D Information
- 8. When we looked at this data, we kept asking this question often “What diseases that this pill treat?” • Five websites with 3 different datasets to find this information • Often information coding conventions are not common or consistent • We used Alteryx to help solve this problem Simple question, but complex data We were using this so often that we built an Analytic App! Published this on http://gallery.alteryx.com as well
- 9. Heart diseases contribute up to 50% of healthcare spends in US. We wanted to look at medication adherence in the context of heart ailments. Heart Disease and Strokes • Cause 1 of every 3 deaths • Over 2 million heart attacks and strokes each year – 800,000 deaths – Leading cause of preventable death in people <65 – $444 B in health care costs and lost productivity – Treatment costs are ~$1 for every $6 spent • Greatest contributor to racial disparities in life expectancy The good news is that we know what works, and the medications, when required, are low cost. Source: Roger VL, et al. Circulation 2012;125:e2-e220 Heidenriech PA, et al. Circulation 2011;123:933–4 Chronic Diseases
- 10. Prediction Methodology - What factors influence nonadherence? • Decision tree model to predict ‘Yes’/’No’ • Regression to fit adherence days. Can we predict for how many days does this patient take his medication • Models with 45 predictors Modeling medication nonadherence Socioeconomic Factors Changing the Context To make individuals’ behavior Long-lasting Protective Interventions Clinical Interventions Counseling & Education Largest Impact Smallest Impact Poverty, education, housing, inequality Hypothesis
- 11. Inferences from our predictive models are largely inline with our hypothesis • Public Health factors – State, County, Area • Personal factors – Age, Income, Race, Sex, Education, Insurance • Medication factors – Number of pills, Patient payments, Cost of drugs, Other chronic diseases Factors that influence nonadherence for cardio vascular diseases Model Summary Variables actually used in tree construction: [1] Area.name Avg_Annual.Average.Pay BENE_BIRTH_DT [4] BENE_RACE_CD BENE_SEX_IDENT_CD BENRES_CAR [7] BENRES_OP MEDREIMB_CAR MEDREIMB_OP [10] Num_Pills PPPYMT_CAR PTNT_Pays [13] RX_Cost SomeColPct SP_ALZHDMTA [16] State Root node error: 1821/10308 = 0.17666 n= 10308 We can add more personal and behavioral factors to improve the accuracy of our model further Most nonadherence is not caused by side effects or drug costs. Rather the problem is behavioral, simple procrastination and forgetfulness.
- 12. Effective interventions - Automated call helped increase the number of prescriptions that were filled, indicating improved adherence. Source: Derose SF, Green K, Marrett E. Automated outreach to increase primary adherence to cholesterol-lowering medications [published online November 26, 2012]. Arch Intern Med. 2013. Automated call system in patients with primary non-adherence to statin medication
- 13. Each intervention must be tailored to individual patients. Incentives of all stakeholders needs to be aligned to improve medication adherence. Source: Derose SF, Green K, Marrett E. Automated outreach to increase primary adherence to cholesterol-lowering medications [published online November 26, 2012]. Arch Intern Med. 2013. Improve medication adherence • Behavioral – audible reminders, smart pill boxes and auto-refills counteract procrastination and forgetfulness. • Financial – Lower cost pharmacies, generics, and payment assistance make medication more affordable. • Clinical – Pharmacist consultations and therapeutic resources help address medical concerns. Improve Medicare systems • Medication Adherence rates are far from optimal but CAN be improved through collaboration and alignment of incentives for plans, physicians and pharmacists • Ongoing, consistent, measurement of medication adherence rates is important to gauge improvement and to identify “best practices” across plans, physicians and pharmacists • What gets measured…. Gets improved! Source: Nau D The importance of measuring adherence Pharmacy Quality Alliance [published online November 7, 2011].
- 14. Demo
- 15. Questions