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Massachusetts Patient-Centered Medical
Home Initiative: Impact on Clinical
Quality at Midpoint
Judith Steinberg, MD, MPH
Sai Cherala, MD, MPH
Christine Johnson, PhD
Ann Lawthers, SM, ScD
Commonwealth Medicine
UMass Medical School
Background: Massachusetts Patient-Centered
Medical Home Initiative (MA PCMHI)
 Multi-payer, statewide initiative, sponsored by MA
Health & Human Services
 45 Participating Practices
• 35 adult practices
• 7 pediatric practices
• 3 adult and pediatric practices
 3-Year Demonstration; Start: March 29, 2011
 Vision: All MA primary care practices will be
PCMHs by 2015
MA PCMHI Interventions
Technical Assistance
 Three‐year Learning Collaborative
• Periodic Learning Sessions
• Monthly conference calls or webinars
• Online courses
• Monthly submission and review of
practice‐level performance data
• Support for obtaining NCQA PCMH
recognition
 Practice Facilitation
MA PCMHI Interventions
Financial Incentives
 31/45 practices receive incentive payments
 Incentives:
• Start-up funding, 2 prospective payment
streams, shared savings
Massachusetts Patient Centered
Medical Home Initiative
Inputs
Outputs
Activities Results
(1 – 2 years)
Outcomes – Impact
Short Term Long Term
(1-2 years) (3-5 years)
*Fewer ED visits
*Fewer
Hospitalizations
*Improved chronic
disease management
*Improved acute
problem management
*Improved delivery of
preventive care
*Better patient
experience
*Better practice
experience
*Slowed growth of
cost
Stakeholder Groups
· Massachusetts
Patient-Centered
Medical Home
Initiative Council
(includes multiple
stakeholders)
· EOHHS
· Residents of the
Commonwealth
of Massachusetts
Payment Reform
EVALUATION
Situation
Fragmented,
discontinuous
care that harms
patient health
status and
increases costs
Increased
prevalence
of chronic disease,
and suboptimal
management of
chronic disease
Shortage of PCPs
Priorities
Implement and
evaluate the PCMH
model as a means to
achieve accessible,
high quality primary
care
Demonstrate cost-
effectiveness to justify
and support the
sustainability and
spread of the model
Attract and retain
primary care
clinicians in
Massachusetts
Assumptions
Transformation of primary care practices will change patient
behavior (how they access care & manage their own health).
External Factors
Working relationships across state agencies.
Available resources
*Sustained reduction
in cost growth
*Improved primary
care provider
retention
Practices have
Core
Competencies in:
· Consumer
engagement
· Practice
redesign
· Clinical care
management
and
coordination
Key Activities
External to
Practice
· Learning
Collaboratives
· Practice
coaching
· Feedback of
data
Within the Practice
· Team
meetings
· Care Manager
· Registry with
reporting
capability
· Linkages to
medical
neighborhood
Payers
Providers
Patients
January 2010MA PCMHI Logic Model
Aim And Study Design
 Aim: To assess data trends of 12 clinical quality
measures from participating practices for first 21
months of the initiative
 Design: Quality improvement study using self-
reported monthly clinical quality measures data from
all PCMHI practices from June 2011 through February
2013
Clinical Quality Measures
Adult Diabetes
 HbA1c Control (<8%)
 HbA1c Control (>9%)
 BP < 140/90 mmHg
 LDL Control < 100mg/dL
 Screened for Depression
Adult Prevention
 Adult Weight Screening and
Follow-Up
 Tobacco Use Assessment
 Tobacco Cessation
Intervention
Pediatric Asthma
 Use of Appropriate Medications
for Asthma
 Persistent Asthma Patients with
Action Plan
Care Coordination/ Care
Management
 Follow-up after Hospital
Discharge
 Highest Risk Patients with Care
Plan
 Methods
• Linear Mixed Model
 Analysis
• Data were divided into three-month periods:
• Time 1 (2011-June, July and August)….. to Time 7 (
2012-December, 2013- January and February)
• Analysis of Change over Time: Baseline (Time 1
or Time 2) vs. Time 7
Methods And Analysis
Results: Study Participants
Practice Characteristics Percentage
Geography
Rural (<10,000 town population) 9%
Suburban (Between 10,000 and 50,000) 20%
Urban (>= 50,000) 71%
Practice Size (Based on Number of Full Time Practitioners)
Small (< 6 FTE practitioners) 31%
Medium (Between 6 and 11 FTE practitioners) 29%
Large (> 11 FTE practitioners) 40%
Type of Practice
Community Health Center 56%
Residency or Academic Practice 11%
Group Practice 29%
Solo Practice 4%
Payer Mix (Practices with Financial Incentives N=31)
Commercial 12%
Health Safety Net 15%
Medicaid 72%
Medicare 1%
Results
 3 measures showed statistically significant
improvement from Baseline to Time 7:
• Diabetic patients screened for depression
(25.8% to 42.4%, p=0.0009)
• Action plan for children diagnosed with
persistent asthma (19.6% to 50.7%, p=0.0076)
• Highest risk patients with care plan (36.5% to
54.2%, p=0.0147)
 All other measures showed a non-significant
trend towards improvement or no change
Adult Diabetes Measures: Change over Time
* Values met the study’s definition of statistical significance p<.05.
71.3
16.2
61.7
47.7
25.8
68.7
15.2
61.6
45.8
42.4*
0
10
20
30
40
50
60
70
80
BP < 140/90 mmHg HbA1c > 9% HbA1c < 8% LDL Control <
100mg/dL
Screened for
Depression
Percent
Measure
Baseline
Time 7
Adult Prevention Measures: Change over Time
* Values met the study’s definition of statistical significance p<.05.
35.1
80.9
45.1
39.2
86.3
50.1
0
10
20
30
40
50
60
70
80
90
100
Adult Weight Screening and
Follow-Up
Tobacco Use Assessment Tobacco Cessation
Intervention
Percent
Measure
Baseline
Time 7
Pediatric Asthma Measures: Change over Time
* Values met the study’s definition of statistical significance p<.05.
76.1
19.6
77.6
50.7*
0
10
20
30
40
50
60
70
80
90
Use of Appropriate Medications for Asthma Persistent Asthma Patients With Action Plan
Percent
Measure
Baseline
Time 7
Care Coordination/Care Management
Measures: Change over Time
* Values met the study’s definition of statistical significance p<.05.
66.9
36.5
70.6
54.2*
0
10
20
30
40
50
60
70
80
Hospital discharge Management of Highest-Risk Patient:
Developing Care Plan
Percent
Measure
Baseline
Time 7
 In the first 21 months of the MA PCMHI,
participating practices have significantly improved:
• Diabetes care delivery by more consistently
screening patients for depression
• Pediatric asthma care by more consistently
developing action plans for patients with
persistent asthma
• Care management by more consistently
developing care plans for highest risk patients
Discussion I
Discussion II
 Factors which may impact improvement rates:
• Payer mix
• Practice size
• Financial incentives/resources
• Practice leadership engagement
• HIT functionality and use
• Practice “adaptive reserve”
 Next steps:
• Analyze effect of factors on practice performance
• Use results in sharing best practices and addressing
barriers to change
Limitations
 Quality Improvement study
• Small sample size
• Short follow-up period
• No comparison group
Conclusion and Implications for Policy
and Practice
 Primary care practice transformation takes time
 Processes of care are more likely to improve
before outcomes are impacted
 Use of a clinical quality measures set is important
for:
• Developing practices’ skillset in QI, a PCMH
component
• Evaluating the impact of implementing PCMH
processes on patient care and outcomes
Acknowledgements
We would like to acknowledge the MA Executive Office of Health and Human
Services (EOHHS), the MA PCMHI Leadership and Medical Home Facilitator
Teams, as well as MA PCMHI participating practices without whom this work
would not be possible.
Contact Information:
Judith Steinberg, MD, MPH
Deputy Chief Medical Officer
Commonwealth Medicine, UMass Medical School
Judith.Steinberg@umassmed.edu

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Academy Health- Annual Research Meeting - State Policy Interest Groups- 2013

  • 1. Massachusetts Patient-Centered Medical Home Initiative: Impact on Clinical Quality at Midpoint Judith Steinberg, MD, MPH Sai Cherala, MD, MPH Christine Johnson, PhD Ann Lawthers, SM, ScD Commonwealth Medicine UMass Medical School
  • 2. Background: Massachusetts Patient-Centered Medical Home Initiative (MA PCMHI)  Multi-payer, statewide initiative, sponsored by MA Health & Human Services  45 Participating Practices • 35 adult practices • 7 pediatric practices • 3 adult and pediatric practices  3-Year Demonstration; Start: March 29, 2011  Vision: All MA primary care practices will be PCMHs by 2015
  • 3. MA PCMHI Interventions Technical Assistance  Three‐year Learning Collaborative • Periodic Learning Sessions • Monthly conference calls or webinars • Online courses • Monthly submission and review of practice‐level performance data • Support for obtaining NCQA PCMH recognition  Practice Facilitation
  • 4. MA PCMHI Interventions Financial Incentives  31/45 practices receive incentive payments  Incentives: • Start-up funding, 2 prospective payment streams, shared savings
  • 5. Massachusetts Patient Centered Medical Home Initiative Inputs Outputs Activities Results (1 – 2 years) Outcomes – Impact Short Term Long Term (1-2 years) (3-5 years) *Fewer ED visits *Fewer Hospitalizations *Improved chronic disease management *Improved acute problem management *Improved delivery of preventive care *Better patient experience *Better practice experience *Slowed growth of cost Stakeholder Groups · Massachusetts Patient-Centered Medical Home Initiative Council (includes multiple stakeholders) · EOHHS · Residents of the Commonwealth of Massachusetts Payment Reform EVALUATION Situation Fragmented, discontinuous care that harms patient health status and increases costs Increased prevalence of chronic disease, and suboptimal management of chronic disease Shortage of PCPs Priorities Implement and evaluate the PCMH model as a means to achieve accessible, high quality primary care Demonstrate cost- effectiveness to justify and support the sustainability and spread of the model Attract and retain primary care clinicians in Massachusetts Assumptions Transformation of primary care practices will change patient behavior (how they access care & manage their own health). External Factors Working relationships across state agencies. Available resources *Sustained reduction in cost growth *Improved primary care provider retention Practices have Core Competencies in: · Consumer engagement · Practice redesign · Clinical care management and coordination Key Activities External to Practice · Learning Collaboratives · Practice coaching · Feedback of data Within the Practice · Team meetings · Care Manager · Registry with reporting capability · Linkages to medical neighborhood Payers Providers Patients January 2010MA PCMHI Logic Model
  • 6. Aim And Study Design  Aim: To assess data trends of 12 clinical quality measures from participating practices for first 21 months of the initiative  Design: Quality improvement study using self- reported monthly clinical quality measures data from all PCMHI practices from June 2011 through February 2013
  • 7. Clinical Quality Measures Adult Diabetes  HbA1c Control (<8%)  HbA1c Control (>9%)  BP < 140/90 mmHg  LDL Control < 100mg/dL  Screened for Depression Adult Prevention  Adult Weight Screening and Follow-Up  Tobacco Use Assessment  Tobacco Cessation Intervention Pediatric Asthma  Use of Appropriate Medications for Asthma  Persistent Asthma Patients with Action Plan Care Coordination/ Care Management  Follow-up after Hospital Discharge  Highest Risk Patients with Care Plan
  • 8.  Methods • Linear Mixed Model  Analysis • Data were divided into three-month periods: • Time 1 (2011-June, July and August)….. to Time 7 ( 2012-December, 2013- January and February) • Analysis of Change over Time: Baseline (Time 1 or Time 2) vs. Time 7 Methods And Analysis
  • 9. Results: Study Participants Practice Characteristics Percentage Geography Rural (<10,000 town population) 9% Suburban (Between 10,000 and 50,000) 20% Urban (>= 50,000) 71% Practice Size (Based on Number of Full Time Practitioners) Small (< 6 FTE practitioners) 31% Medium (Between 6 and 11 FTE practitioners) 29% Large (> 11 FTE practitioners) 40% Type of Practice Community Health Center 56% Residency or Academic Practice 11% Group Practice 29% Solo Practice 4% Payer Mix (Practices with Financial Incentives N=31) Commercial 12% Health Safety Net 15% Medicaid 72% Medicare 1%
  • 10. Results  3 measures showed statistically significant improvement from Baseline to Time 7: • Diabetic patients screened for depression (25.8% to 42.4%, p=0.0009) • Action plan for children diagnosed with persistent asthma (19.6% to 50.7%, p=0.0076) • Highest risk patients with care plan (36.5% to 54.2%, p=0.0147)  All other measures showed a non-significant trend towards improvement or no change
  • 11. Adult Diabetes Measures: Change over Time * Values met the study’s definition of statistical significance p<.05. 71.3 16.2 61.7 47.7 25.8 68.7 15.2 61.6 45.8 42.4* 0 10 20 30 40 50 60 70 80 BP < 140/90 mmHg HbA1c > 9% HbA1c < 8% LDL Control < 100mg/dL Screened for Depression Percent Measure Baseline Time 7
  • 12. Adult Prevention Measures: Change over Time * Values met the study’s definition of statistical significance p<.05. 35.1 80.9 45.1 39.2 86.3 50.1 0 10 20 30 40 50 60 70 80 90 100 Adult Weight Screening and Follow-Up Tobacco Use Assessment Tobacco Cessation Intervention Percent Measure Baseline Time 7
  • 13. Pediatric Asthma Measures: Change over Time * Values met the study’s definition of statistical significance p<.05. 76.1 19.6 77.6 50.7* 0 10 20 30 40 50 60 70 80 90 Use of Appropriate Medications for Asthma Persistent Asthma Patients With Action Plan Percent Measure Baseline Time 7
  • 14. Care Coordination/Care Management Measures: Change over Time * Values met the study’s definition of statistical significance p<.05. 66.9 36.5 70.6 54.2* 0 10 20 30 40 50 60 70 80 Hospital discharge Management of Highest-Risk Patient: Developing Care Plan Percent Measure Baseline Time 7
  • 15.  In the first 21 months of the MA PCMHI, participating practices have significantly improved: • Diabetes care delivery by more consistently screening patients for depression • Pediatric asthma care by more consistently developing action plans for patients with persistent asthma • Care management by more consistently developing care plans for highest risk patients Discussion I
  • 16. Discussion II  Factors which may impact improvement rates: • Payer mix • Practice size • Financial incentives/resources • Practice leadership engagement • HIT functionality and use • Practice “adaptive reserve”  Next steps: • Analyze effect of factors on practice performance • Use results in sharing best practices and addressing barriers to change
  • 17. Limitations  Quality Improvement study • Small sample size • Short follow-up period • No comparison group
  • 18. Conclusion and Implications for Policy and Practice  Primary care practice transformation takes time  Processes of care are more likely to improve before outcomes are impacted  Use of a clinical quality measures set is important for: • Developing practices’ skillset in QI, a PCMH component • Evaluating the impact of implementing PCMH processes on patient care and outcomes
  • 19. Acknowledgements We would like to acknowledge the MA Executive Office of Health and Human Services (EOHHS), the MA PCMHI Leadership and Medical Home Facilitator Teams, as well as MA PCMHI participating practices without whom this work would not be possible. Contact Information: Judith Steinberg, MD, MPH Deputy Chief Medical Officer Commonwealth Medicine, UMass Medical School Judith.Steinberg@umassmed.edu

Editor's Notes

  1. Good Morning and Thank you for attending our presentation on impact of clinical quality measures for pediatric practices at midpoint of MA Patient Centered Medical Home Initiative.
  2. Now for back ground The MA PCMHI is a 3-year, statewide, multi payer medical home demonstration project . It includes 45 practices, of these 10 are pediatric practices. We are now at the midpoint of 3 year initiative The grand vision behind this demonstration is to transform all MA primary care practices into PCMH by 2015
  3. This demonstration has included several intervention to support the practices transformation into medical homes. One of the intervention is technical assistance to all participating practices, which is lead by U Mass Medical School. This includes Learning Collaborative and here are some of our approaches for shared learning modalities. One of these I would like to highlight is tracking and submission of practice level data that we have used in this analysis The technical assistance also includes Practice facilitation where medical home facilitators worked one-on‐one with practice teams to help guide transformation goals and track progress.
  4. Another way we supported practices is through financial incentives 6 out of 10 pediatric practices received incentives Incentives included …. One of the prospective payments included support for care management function Infrastructure payments Up to $15,000 in the first year, apportioned across participating payers based on practice members Up to $3,500 in the second year Two streams of prospective payments: General medical home activities ($1.50 PMPM) Clinical care management $.60 PMPM for under age 18 $1.50 PMPM for age 16-64 $6.00 for 65+ Shared savings If practice performance results in net cost reduction and practices meet quality of care performance thresholds
  5. Here is the logic model for our demonstration project. This is a very busy slide let me turn your attention to some key points that illustrate our hypothesis. We believe that by providing support for certain activities, such as payment reform, technical assistance including practice coaching, will help practices to implement the PCMH model of care and which in turn will lead to improvement in clinical quality and reduce costs. 
  6. Goal Provide monthly feedback to practices on clinical care, esp., management of chronic conditions, preventive care, care management & continuity of care Methods Measures reported through a data portal; numerators and denominators only Data from June 2011 through April 2013
  7. This analysis looked at 2 categories of measures, one is asthma and other is CC/CM Asthma measures include Percent of….. CC/CM measures include Percent of HIGHEST RISK are defined as most complex and most costly patients that practice provide services for. These are usually top 5% of patient panel and usually are patients with multiple chronic diseases which often include mental health and/or substance abuse issues. Practices have developed their own methodologies and criteria to determine who of their patients belong to this category based on their providers' input and payer utilization data. `1
  8. This approach is statistically powerful, provides flexibility for addressing time effects, accommodates some missing data & practice to practice variability. It has become standard of practice in these kind of analysis. Data divided into… We analyzed data by change… As data collection for CC/CM measures started at later time, the baseline for these measures started from time 2
  9. Coming to results of the analysis. Here is the description of the participating pediatric practices. As you can see 91% of practices are urban 7 suburban, the practice size is evenly divided between small, medium and large. Almost 56 % of practices are community health centers.
  10. Here are the results for clinical quality measures, 2 out of 5 measures All other measures …………. But were not statistically significant
  11. Here are the graphs by measure group . Here is the graph on asthma measures by time period. x axis shows time and y axis shows percentage Black line is …. Red line … Green line… All asthma measures are improved across time and only 2 measure show significant increases which are….
  12. Here is the graph for CC/CM measures by time period X&Y axis are the same as previous slide Red Line… Blue line … And you can see that rates are increasing across time and neither are significant
  13. Here is the graph for CC/CM measures by time period X&Y axis are the same as previous slide Red Line… Blue line … And you can see that rates are increasing across time and neither are significant
  14. In Summary by the midpoint of this 3 year PCMH initiative…. There are several factors that may have an impact on the improvement and some of these are:. "adaptive reserve - which is a practice's resiliency to make change
  15. In subsequent analysis we are planning to study the impact of these factors.
  16. Primary care practice transformation takes time; processes of care are more likely to improve before outcomes are impacted. Use of a clinical quality measures set is important for practices’ skillset development in quality improvement, a PCMH component, and for evaluating the impact of implementing PCMH processes on patient care and outcomes.
  17. Thank you for giving us this opportunity Will be happy to take questions …