Title: Diabetes Disease Management Results in Hispanic Medicaid Patients
1Diabetes Disease Management Results in Hispanic
Medicaid Patients
- Esteban R. López, MD, MBA, FAAP
- Program Director and Medical Director, McKesson
Health Solutions - National Hispanic Medical Association
- March 20, 2011
- Washington, DC
2Objective of Presentation
- To present medical service utilization from a
telephonic nursing disease-management program for
Medicaid patients with diabetes residing in
Puerto Rico - Published in Journal of Health Care for the Poor
and Underserved - May 2009
3Road Map of Presentation
- Diabetes Disease Management
- Methods
- Results
- Discussion
4Disease Management
- Care Continuum Alliance (CCA) disease management
definition - Supports the physician/practitioner patient
relationship and plan of care - Emphasizes prevention of exacerbation and
complications utilizing evidence-based practice
guidelines and patient empowerment strategies
and - Evaluates clinical, humanistic, and economic
outcomes on an on-going basis with the goal of
improving overall health
5Components of Disease Management
- Disease management components include
- Population identification process
- Evidence-based practice guidelines
- Collaborative practice models (physicians and
others) - Patient self management education
- Process and outcomes measurement, evaluation, and
management - Routine reporting/feedback loop
6Diabetes Disease Management
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- Previous research shows that an increased number
of patients can be managed in an ambulatory care
setting through - Increased understanding of pathophysiology of
diabetes - Pharmacological interventions
- Non-pharmacological intervention
- Goals are
- Increased quality of life and less expensive
health care
7Diabetes Disease Management
- Centers for Medicare and Medicaid Services (CMS)
- Recognize burden of chronic diseases
- Will pilot differing disease management
strategies - Previous research finds a multidisciplinary
approach has increased QOL and reduce overall
medical costs through - Disease management nurses
- Frequent physician office visits
- Telephone contact systems
8Diabetes Disease Management
- Limitations of Previous Research
- Pre/Post Evaluations
- Least rigorous study methodology
- Clinic-based interventions
- Not representative of community of diabetes
patients - Costs are not clearly delineated
- This Research
- Uses a more rigorous study methodology
- More representative of community of diabetes
patients
9Methods Study Population
- Diagnosed with Diabetes through administrative
claims - Medicaid plan in Puerto Rico
- Age 1-64
10Methods Study Population
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- Excluded people
- Those engaged in a local formal diabetes program.
- Members age 65 or over
- Members with less then three months eligibility
prior to their study start date or less than
three months eligibility after their study start
date. - ESRD, Dialysis, Transplants, HIV/AIDS
- Hospice
- SNF
- Intervention group members with less than three
months participation in the disease management
program.
11Methods Study Population
- Sample of 490 diabetes participants and 490
matched non-participants - Matched non-participants drawn from sample of
7,966
12Methods Intervention
- Created a customized self-management intervention
plan - Risk stratification
- Formal scheduled nurse education sessions
- 24 hour access to nurse counseling and symptom
advice - Printed action plans
- Workbooks
- Individualized assessment letters
- Medication compliance reminders and vaccine
reminders - Physician alerts
13Methods Intervention
- Guidelines used
- The American Diabetes Association
14Methods Intervention
- Changes in medical service utilization is
expected to result from improvements in patients
- Knowledge
- Behavior
- Health status
15Methods Study Design
- Alternatives include
- Randomized control trial
- Matched two-group cohort
- Population based pre/post
- Participant only pre/post
- Others
- We used a 12 month, matched-cohort study.
16Results
Medical service utilization (annualized rate per 1000) Study group Control group P-value Change ()
Inpatient admits 174 268.4 0.112 -35.2
Inpatient bed days 920.3 1,770.00 0.021 -48
Emergency Department visits 773.6 758.3 0.778 2
Physician evaluation management visit 5,153 4,651.80 0.649 10.8
Pharmacy scripts 39,530.40 40,932.90 0.704 -3.4
Diabetes inpatient admits 39.8 14.90 0.437 167.2
Diabetes inpatient bed days 148.8 108.60 0.699 37
Diabetes Emergency Department visits 81.8 95.80 0.603 -14.7
Cardiac inpatient admits 25.2 98.00 0.001 -74.3
Cardiac inpatient bed days 134.2 528.20 0.002 -74.6
Cardiac Emergency Department visits 16.8 12.80 0.591 31.2
Inpatient 30 day readmits 29.4 42.60 0.635 -31.1
17Results
Prescription drugs ( of people who have) Study group Control group P-value Change ()
ACE inhibitor () 31.6 25.7 0.041 23
Beta blocker () 27.6 25.7 0.516 7.1
Antihypertensives () 54.9 49.8 0.11 10.2
Diuretics () 45.3 36.1 0.004 25.4
Cardiac glycosides () 5.1 6.3 0.409 -19.4
Blood glucose regulators () 90.4 90.4 1,000 0
18Results
Procedures performed ( of people who have) Study group Control group P-value Change ()
Hemoglobin A1c 21.2 16.5 0.061 28.4
Lipid panel 28 23.7 0.126 18.1
Eye examination 16.3 13.9 0.285 17.6
Maculopathy 3.9 3.5 0.734 11.8
Microalbumin 1.4 1.2 0.78 16.7
Echocardiography 4.9 7.6 0.086 -35.1
Cardiac catheterization 1.2 5.7 0 -78.6
Myocardial imaging/ perfusion 1.8 2 0.817 -7.1
Influenza immunization 7.1 2.4 0.001 191.7
Pneumococcal immunization 2.9 1 0.037 180
19Results
Average costs Study group Control group P-value Change ()
Monthly medical costs () 74.5 154.66 0.001 -51.8
Monthly pharmacy costs () 79.25 80.11 0.848 -1.1
Monthly total costs () 153.75 234.78 0.002 34.5
20Discussion
- Drugs and device manufactures often subject their
products to clinical research to determine - Safety
- Efficacy
- Healthcare services are rarely subject to similar
levels of clinical research - Some exceptions
- CMS randomized pilot
- HealthDialog has a randomized trial published in
NEJM
21Discussion
- 75 of managed care plans report having
comprehensive disease management programs as
defined by CCA - Industry growth likely due to
- Frustration with pace of guideline adoptions
- Guaranteed financial savings by DM companies
- High patient satisfaction
- Other reasons
22Discussion
- Although Propensity Scores balance observable
variables, unobservable variables may not be
balanced - Motivation
- Psycho-social factors
- No drug information for this study
- Selection Bias?
- Is selection determined by observable or
unobservable variables? - If by unobservable, then bias may exist