Join the conversation! Our Twitter hashtag is #CPI2011. The Use of Clinical Case Management to Improve Outcomes in PCMH-Designated Community Health Centers Brian Reed, MD, Baylor College of Medicine; Linda Keenan MPA, BSN, RN-BC Harris County Hospital District, Houston, TX

The Use of Clinical Case Management to Improve Outcomes in PCMH-Designated Community Health Centers OBJECTIVES 1.To describe the basic components of the Johns Hopkins Adjusted Clinical Group Case Mix System and how it can be used to predict patients at high risk for utilization of healthcare resources 2.To highlight specific clinical case management interventions that helped to improve patient outcomes 3.To specifically discuss on-going care coordination activities among our patients with poorly controlled diabetes mellitus. 4.To detail clinical outcomes and future goals

Overview Background Johns Hopkins Adjusted Clinical Groups Case management model Case management interventions Clinical outcomes

Community Health Centers 14 outpatient community health centers 1 pediatric ambulatory center 9 school based clinics Projected to have 612,437 visits this fiscal year

Harris County Hospital District  Number of Unduplicated Patients: 310,532  Payer Mix: 60.3% - Non-funded (self-pay) 24.2% - Medicaid 7.7% - Medicare 7.8% - Other funding (commercial insurance, grants, etc.)

Clinic Visit Data

Patient Panels  Each full time primary care physician can carry up to 2,250 patients in their panel.  When fully staffed we have approximately 127 primary care physicians  This would allow us to manage 285,750 patients in the ambulatory setting  What we actually attempt to do is greater.

Johns Hopkins Adjusted Clinical Groups (ACG) System John Hopkins University. (2010).

Johns Hopkins ACG System John Hopkins University. (2010).

Johns Hopkins ACG System  Morbidity of patient populations is measured based upon disease patterns, age and gender.  Diagnostic codes  Pharmaceutical code information  Insurance Claims Data John Hopkins University. (2010).

Johns Hopkins ACG System Aggregated Diagnosis Groups serve as the building blocks for ACG system 5 Dimensions of ACGs :  Duration of the condition  Severity of the condition  Diagnostic Certainty  Etiology of the condition  Specialty Care Involvement John Hopkins University. (2010).

Chronic Conditions by Clinic

Total Expected Future Health Utilization

High Risk Patients by Clinic

Five Patients with Highest Expected Future Utilization HCHD Primary Treatment Location total costage band hospital dominant count chronic condition count congestive heart failure condition chronic renal failure condition diabetes condition hypertension condition probability high total cost MLK43, BTH NPBTH0.95 SETTEGAST34, ICDBTH 0.95 SETTEGAST89, ICDBTHICDBTH0.95 MLK52, NPBTH 0.95 SETTEGAST72, BTH 0.95

Challenges: Patients with Diabetes TotalCaucasiansAfrican Americans Hispanics Community Health Centers 17.78%15.68%19.73%17.11% Texas 9.7%8.2%13.00%11.1% United States 8.2%7.5%13.10%7.4% From March 2009 until February 2010 (Fiscal Year 2010), our providers in the Community Health Centers evaluated 36,325 unduplicated adult patients with diabetes

Diabetic Control- A1C >9% = 20.72% of population

Care Teams: The Foundation of Our Medical Home

Care Teams  Physician  Case Management  Dietician  RN/LVN  Behavioral Therapy  Clinical Pharmacist

Patient Centered Medical Home Definition of Case Management “Case management is a collaborative process of assessment, planning, facilitation, care coordination, evaluation and advocacy for options and services to meet an individual's and family’s comprehensive health needs through communication and available resource's to promote quality cost effective outcomes”. Source: CMSA 2010 Definition of Disease Management “The Care Continuum Alliance promotes a proactive, accountable, patient-centric population health improvement model featuring a physician-guided health care delivery system designed to develop and engage informed and activated patients over time to address both illness and long term health” Source: Care Continuum Alliance ( formerly DMAA) 2011

Case Management Model Source: Wagner EH. Chronic Disease Management

Scope of Medical Home Case Management  Dyad Model- experienced RN and Social worker holistic, comprehensive patient assessment  Motivational interviewing- holistic, comprehensive patient assessment when the patient needs us at their convenience  Open access – when the patient needs us at their convenience  Telephonic monitoring drives interventions and level of monitoring  Risk assessment- drives interventions and level of monitoring  Patient–Centric, Medical Home philosophy  Incorporates wellness, prevention and self management of disease

Case Management Design  Opt-Out design  Promotes engagement  Increases positive enrollment  Consent required  Enrolled patients are “flagged” in the Electronic Medical Record

Evidence Based practice (EBP) Research based case management interventions Standardization of EBP documentation template Motivational Interviewing Self-management Teach Back

Case/Disease Management Nurses identify and intervene with high risk, problem prone patients. Population Selection Eligibility High Risk Problem Prone High utilization Chronic disease Stratification Identification Predictive modeling Claims data Pharmacy profiling Health assessments Disease Management Enrollment Opt Out Coordination of care Outreach

Case Management Interventions  Motivational interviewing  Holistic assessment- bio-psychosocial patient and family  Education- patient and family  Risk assessment and stratification  Utilization monitoring- real time pre-visit planning  Pre-visit chart review- pre-visit planning  Multidisciplinary referral and collaboration  Community referrals  DME, Home Health, IV therapy coordination  Transition from acute care

Detailed Risk Interventions Scorecards for patient education and PCMH now include interventions and utilization data trending outcome of intervention Transition of Care across the continuum High risk problem prone patients with diabetes are seen and/or contacted within 48hrs of discharge by an educator/diabetes staff

Strategies for Controlling Diabetes  Patient advocacy- self-management  Evidence based practice documentation  Clinical reminders-foot and retinal exam, labs  Identification of patients with A1C >9 ( lab reports)  Telephonic monitoring  Provision of tools and equipment  Education by case manager, educator, pharmacist  Classes  1:1  Physician group visits

Intervention Scorecard.

Utilization Scorecard Readmissions/EC Utilization since inception Readmissions 6 months prior to patients' enrollment in case management program Readmissions 6 months post enrollment in case management EC non-emergent utilization 6 months prior to patients' enrollment in case management program EC non-emergent utilization 6 months post patients' enrollment in case management program Interventions (Current month only) Number of patients with RN intervention Number of patients with MSW intervention Total Number of Patients with an Intervention Case Management Number of patients referred for case management Number of patients identified by PCMH Staff Number of patients enrolled in case management Number of patients declined/not enrolled case management services Ask Your Nurse Number of patients initially identified by Ask Your Nurse Number of patients enrolled in CM by Ask Your Nurse

Health Promotion and Wellness  Health Fairs  Diabetes Prevention Program  American Diabetes Association recognition  Smoking cessation  Coaching  Weight management

Noteworthy outcomes 900 patients enrolled in ongoing case management program 2 clinics have an average A1C decrease of 3% over 3 months for > 36 patients No shows for physician diabetes group visits < 2% versus overall 15% Readmissions and EC visits decreased by 25% in 9 months Real time utilization of patients by clinic visible in EMR

Outcomes Reporting  Community Health Center Medical Executive Committee  Performance Improvement  Quality Resource Council  Utilization Review Committee

Expected Return on Investment/Benefits HCHD  Improve Quality of care  Reduce costs  Reduce avoidable hospitalizations and EC visits  Position HCHD for future healthcare reform and enhanced reimbursement  Increase funded patient volume and attract interest from health plans  Align clinical and administrative efforts and strengthen organizational matrix  Alignment of performance improvement efforts  Optimize “meaningful use” of Epic and other information systems  Increase patient satisfaction by providing patient-centered care and open access  Coordination of care using a team approach to care delivery- optimal scope of practice  National recognition for HCHD, BCM, and UTHSC-H

Next steps  Remote in-home monitoring for blood glucose, BP, oxygen saturation, delivered to case manager’s desk top  Congestive Heart Failure monitoring- in home scales  Optimization EMR for end user reporting  Focus on ambulatory care sensitive conditions- CHF, DM, HTN, Asthma

The Use of Clinical Case Management to Improve Outcomes in PCMH-designated Community Health Centers Questions?

References Care Continuum Alliance (2011) available from CMSA (2010) Standards of Practice for Case Management. Available from John Hopkins University. (2010). The John Hopkins ACG System. Available at d=366 d=366 Wagner EH.(1998) Chronic disease management: What will it take to improve care for chronic illness? Effective Clinical Practice. 1(1):2-4. Wagner, EH et al (1996) available from