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Using Quantitative Data for Medical
Home Facilitation in the Massachusetts
Patient Centered Medical Home
Initiative (MA PCMHI)
Sai Cherala, M.D., M.P.H.
Joan Johnston, R.N., C.I.H., C.P.E.
Jaime Vallejos, M.D., M.P.H.
Judith Steinberg, M.D., M.P.H.
Christine Johnson, Ph.D.
Commonwealth Medicine
UMass Medical School
Presenter Disclosures
(1) The following personal financial relationships with
commercial interests relevant to this presentation
existed during the past 12 months:
Sai Cherala
“No relationships to disclose”
Introduction
 The Patient‐Centered Medical Home (PCMH) offers an
innovative model of care: comprehensive primary
care, quality improvement, care management, and
enhanced access in a patient centered environment
Objective:
 To evaluate how targeted practice facilitation has
improved clinical performance in a PCMH
demonstration
Background: Massachusetts Patient
Centered Medical Home Initiative
 Multi-payer, statewide initiative
 Sponsored by Massachusetts Health & Human Services;
legislatively mandated
 46 participating practices
 3-year demonstration: March, 2011 − March, 2014
 Includes payment reform and technical assistance
Technical Assistance: Massachusetts
Patient Centered Medical Home Initiative
 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
Clinical Quality Measures
Adult Diabetes
 HbgA1c Control (<8%)
 HbgA1c Control (>9%)
 BP < 140/90 mmHg
 LDL Control < 100mg/dL
 Screened for Depression
 Self-Management Goal
Adult Prevention
 Adult Weight Screening and
Follow-up
 Tobacco Use Assessment
 Tobacco Cessation Intervention
Other Adult Target
 Blood Pressure Control
 Hypertension with Documented
Self-Management Goal
 Depression with Documented
PHQ-9 Score
 Depression with Documented Self-
Management Goal
Childhood Prevention
 Immunization Status Multiple
vaccines
 Weight Assessment and Counseling
for Children and Adolescents
Pediatric Asthma
 Use of Appropriate Medications for
Asthma
 Persistent Asthma Patients with
Action Plan
Other Pediatric Target
 Follow-up Care for Children
Prescribed ADHD Medication
 Management Plan for Children
Prescribed ADHD Medication
Care Coordination/ Care Management
 Follow-up after Hospital Discharge
 Highest Risk Patients with Care Plan
Operations
 Continuity of Care
Clinical Quality Measures that Showed Significant
Improvement in Change over Time
25.2 23.8
37.1
82.4
46.5
16.7 17.3
11.5
18.6
46.4
22.3
36.1
48.7
32.0
47.6
90.5
51.3
25.3
21.4
19.3
62.7 63.1
61.2
64.7
0
10
20
30
40
50
60
70
80
90
100
Screened for
Depression
Self-
Management
Goal
Adult Weight
Screening &
Follow-Up
Tobacco Use
Assessment
Tobacco
Cessation
Intervention
Hypertension
Self-
Management
Goal
Depression
PHQ-9 Score
Depression
Self-
Management
Goal
Patients With
Action Plan
Immunization
Status
Multiple
Vaccines 1
Immunization
Status
Multiple
Vaccines 2
Care Plans for
Highest Risk
Patients
Percent
Baseline Time 11
11 of 22 measures showed statistically significant improvement
Adult Diabetes Adult Prevention Other Adult Measures Pediatric
Asthma
Childhood
Prevention
Care
Management
Targeted Medical Home Facilitation:
Approach
 Underperforming practices were targeted for facilitation follow-
up
 Intervention focused on the performance on certain measures
and which also included the implementation of key
components of the PCMH
 Started in the year 3 of the intervention
 Customized interventions were developed and delivered by
three practice facilitators over a six-month period
 Following the targeted facilitation, practices were assessed for
the impact of the targeted facilitation on the performance of
measure
Targeted Medical Home Facilitation:
Focus
 On aggregate analysis, we identified five measures
with a trend toward improvement from baseline.
• Screening for depression for adults
• Tobacco cessation counseling for adults who have been
identified as smokers;
• Self-management goals for adult diabetics,
• Use of appropriate medications for pediatric patients with
persistent asthma; and
• Follow-up after hospital discharge.
Targeted Medical Home Facilitation:
Methods
 Analysis: Using ANOVA, we analyzed the individual practice
contribution to the aggregate for each of these measures.
 Interventions: Facilitators used a wide array of tools
including: practice-wide assessments, PCMH team based
care workflows, Lean trainings and online courses.
 Variables included: Change in clinical performance over
the demonstration
 Data sources: Clinical data submission, practice-wide
assessments, facilitators interviews
Targeted Medical Home Facilitation:
Results
For measures marked * Baseline is Time 6
23.8 25.7 26.0
29.4 31.1 32.0
46.5
41.2
47.7
44.5 44.1
46.8
49.9 48.9 49.7 50.1 51.3
17.3 16.7
19.7
22.7 22.8 21.4
0
10
20
30
40
50
60
Time 1 Time 2 Time 3 Time 4 Time 5 Time 6 Time 7 Time 8 Time 9 Time 10 Time 11
Rate
Self-Management Goal for Adult Diabetics*
Tobacco Cessation Counseling for Adult with History of Smoking
Screening for Depression for Adults*
Intervention Started
3 out of 5 measures of focus showed significant improvement
Targeted Medical Home Facilitation:
Results II
Targeted Medical Home Facilitation:
Lessons Learned
 Develop infrastructure and procedures that support effective
use of data monitoring through training, introduction of
dashboards, and other resources
Assessing the practice and providing regular performance feedback
and using this data to inform QI
 Building the internal capacity of a practice to engage in data-
driven change
Provide training to the practice staff and providers on QI methods
and strategies
 Adapting EMR functionality for QI
Provide technical assistance in specific areas, such as registry
development for implementing team-based care and other
foundational elements of PCMH
 Quality Improvement Study
 Multiple Interventions
 Length of time
Limitations
 At the close of the MA PCMHI initiative (3 years),
11 of 22 clinical measures showed statistically
significant improvement
 Measures that showed significant improvement:
 Process measures
 New or newly documented processes
 Targeted practice facilitation, informed by analysis
of practice level and aggregate clinical quality data,
may be effective in promoting achievement of
practice and initiative goals in PCMH
implementation
Summary
Conclusions
 Quality of care in the management of chronic
diseases, prevention and screening, and high risk care
management was significantly improved in this PCMH
demonstration
 Supporting practices in developing a QI infrastructure
and skillset is a foundational element of the building
of the medical home that facilitates overall change
 Practice transformation takes time
Acknowledgments
We would like to acknowledge the Massachusetts 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:
Sai Cherala, M.D., M.P.H.
Assistant Professor
Senior Clinical Analyst
Commonwealth Medicine
UMass Medical School
Sai.Cherala@umassmed.edu

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American Public Health Association- Annual Meeting 2014 Presentation

  • 1. Using Quantitative Data for Medical Home Facilitation in the Massachusetts Patient Centered Medical Home Initiative (MA PCMHI) Sai Cherala, M.D., M.P.H. Joan Johnston, R.N., C.I.H., C.P.E. Jaime Vallejos, M.D., M.P.H. Judith Steinberg, M.D., M.P.H. Christine Johnson, Ph.D. Commonwealth Medicine UMass Medical School
  • 2. Presenter Disclosures (1) The following personal financial relationships with commercial interests relevant to this presentation existed during the past 12 months: Sai Cherala “No relationships to disclose”
  • 3. Introduction  The Patient‐Centered Medical Home (PCMH) offers an innovative model of care: comprehensive primary care, quality improvement, care management, and enhanced access in a patient centered environment Objective:  To evaluate how targeted practice facilitation has improved clinical performance in a PCMH demonstration
  • 4. Background: Massachusetts Patient Centered Medical Home Initiative  Multi-payer, statewide initiative  Sponsored by Massachusetts Health & Human Services; legislatively mandated  46 participating practices  3-year demonstration: March, 2011 − March, 2014  Includes payment reform and technical assistance
  • 5. Technical Assistance: Massachusetts Patient Centered Medical Home Initiative  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
  • 6. Clinical Quality Measures Adult Diabetes  HbgA1c Control (<8%)  HbgA1c Control (>9%)  BP < 140/90 mmHg  LDL Control < 100mg/dL  Screened for Depression  Self-Management Goal Adult Prevention  Adult Weight Screening and Follow-up  Tobacco Use Assessment  Tobacco Cessation Intervention Other Adult Target  Blood Pressure Control  Hypertension with Documented Self-Management Goal  Depression with Documented PHQ-9 Score  Depression with Documented Self- Management Goal Childhood Prevention  Immunization Status Multiple vaccines  Weight Assessment and Counseling for Children and Adolescents Pediatric Asthma  Use of Appropriate Medications for Asthma  Persistent Asthma Patients with Action Plan Other Pediatric Target  Follow-up Care for Children Prescribed ADHD Medication  Management Plan for Children Prescribed ADHD Medication Care Coordination/ Care Management  Follow-up after Hospital Discharge  Highest Risk Patients with Care Plan Operations  Continuity of Care
  • 7. Clinical Quality Measures that Showed Significant Improvement in Change over Time 25.2 23.8 37.1 82.4 46.5 16.7 17.3 11.5 18.6 46.4 22.3 36.1 48.7 32.0 47.6 90.5 51.3 25.3 21.4 19.3 62.7 63.1 61.2 64.7 0 10 20 30 40 50 60 70 80 90 100 Screened for Depression Self- Management Goal Adult Weight Screening & Follow-Up Tobacco Use Assessment Tobacco Cessation Intervention Hypertension Self- Management Goal Depression PHQ-9 Score Depression Self- Management Goal Patients With Action Plan Immunization Status Multiple Vaccines 1 Immunization Status Multiple Vaccines 2 Care Plans for Highest Risk Patients Percent Baseline Time 11 11 of 22 measures showed statistically significant improvement Adult Diabetes Adult Prevention Other Adult Measures Pediatric Asthma Childhood Prevention Care Management
  • 8. Targeted Medical Home Facilitation: Approach  Underperforming practices were targeted for facilitation follow- up  Intervention focused on the performance on certain measures and which also included the implementation of key components of the PCMH  Started in the year 3 of the intervention  Customized interventions were developed and delivered by three practice facilitators over a six-month period  Following the targeted facilitation, practices were assessed for the impact of the targeted facilitation on the performance of measure
  • 9. Targeted Medical Home Facilitation: Focus  On aggregate analysis, we identified five measures with a trend toward improvement from baseline. • Screening for depression for adults • Tobacco cessation counseling for adults who have been identified as smokers; • Self-management goals for adult diabetics, • Use of appropriate medications for pediatric patients with persistent asthma; and • Follow-up after hospital discharge.
  • 10. Targeted Medical Home Facilitation: Methods  Analysis: Using ANOVA, we analyzed the individual practice contribution to the aggregate for each of these measures.  Interventions: Facilitators used a wide array of tools including: practice-wide assessments, PCMH team based care workflows, Lean trainings and online courses.  Variables included: Change in clinical performance over the demonstration  Data sources: Clinical data submission, practice-wide assessments, facilitators interviews
  • 11. Targeted Medical Home Facilitation: Results For measures marked * Baseline is Time 6 23.8 25.7 26.0 29.4 31.1 32.0 46.5 41.2 47.7 44.5 44.1 46.8 49.9 48.9 49.7 50.1 51.3 17.3 16.7 19.7 22.7 22.8 21.4 0 10 20 30 40 50 60 Time 1 Time 2 Time 3 Time 4 Time 5 Time 6 Time 7 Time 8 Time 9 Time 10 Time 11 Rate Self-Management Goal for Adult Diabetics* Tobacco Cessation Counseling for Adult with History of Smoking Screening for Depression for Adults* Intervention Started 3 out of 5 measures of focus showed significant improvement
  • 12. Targeted Medical Home Facilitation: Results II
  • 13. Targeted Medical Home Facilitation: Lessons Learned  Develop infrastructure and procedures that support effective use of data monitoring through training, introduction of dashboards, and other resources Assessing the practice and providing regular performance feedback and using this data to inform QI  Building the internal capacity of a practice to engage in data- driven change Provide training to the practice staff and providers on QI methods and strategies  Adapting EMR functionality for QI Provide technical assistance in specific areas, such as registry development for implementing team-based care and other foundational elements of PCMH
  • 14.  Quality Improvement Study  Multiple Interventions  Length of time Limitations
  • 15.  At the close of the MA PCMHI initiative (3 years), 11 of 22 clinical measures showed statistically significant improvement  Measures that showed significant improvement:  Process measures  New or newly documented processes  Targeted practice facilitation, informed by analysis of practice level and aggregate clinical quality data, may be effective in promoting achievement of practice and initiative goals in PCMH implementation Summary
  • 16. Conclusions  Quality of care in the management of chronic diseases, prevention and screening, and high risk care management was significantly improved in this PCMH demonstration  Supporting practices in developing a QI infrastructure and skillset is a foundational element of the building of the medical home that facilitates overall change  Practice transformation takes time
  • 17. Acknowledgments We would like to acknowledge the Massachusetts 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: Sai Cherala, M.D., M.P.H. Assistant Professor Senior Clinical Analyst Commonwealth Medicine UMass Medical School Sai.Cherala@umassmed.edu

Editor's Notes

  1. Good Morning. It is my great pleasure to share with you this morning how our statewide, PCMH demonstration impacted clinical quality.
  2. By way of introduction, the patient centered medical home model offers a solution to the current state of health care delivery, which can be described as care that is provider- centered fragmented and inefficient care. In contrast, the PCMH offers an innovative model that has a whole person orientation, is comprehensive, coordinated, has a focus on care management and quality improvement. However, PCMH evaluations have shown variable impact – in part this has been related to differing PCMH definitions, evaluation designs and short follow-up time. So our aim was to assess the impact on clinical quality of a PCMH demonstration by analyzing data trends of clinical quality measures from practices that participated in the MA PCMH Initiative. We also sought to understand the factors that might impact performance on these clinical quality measures.
  3. Now for back ground The MA PCMHI is a 3-year, statewide, multi payer medical home demonstration project . It includes 46 practices, of these 10 were pediatric practices. Financial Incentives 31/46 practices receive incentive payments Incentives: Start-up funding, 2 prospective payment streams, shared savings
  4. 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.
  5. Here are the clinical quality measures grouped by domain. As you can see, they include measures of chronic disease management, prevention and screening and care coordination/care management. Data in the form of numerators and denominators were reported through a data portal. Note that most of these measures are process measures. There are 4 intermediate outcome measures: in the adult diabetes domain: Hgb A1C, bp and ldl control, and in other adult target conditions – bp control
  6. Over the course of the 3 year demonstration, 11/22 Clinical quality measures showed statistically significant improvement from baseline. In this graph the X axis is the measure and Y axis is percent and it is an Aggregate averages These measures represented all of the domains except the domain, “other pediatric target conditions”, which focuses on ADHD management. The other adult measures were rollout out later in the initiative – at the x month and thus the period between baseline and the final, 11th time period was only x months. Statistically significant improvement was noted for measures in this domain but with low levels of performance even at the close of the initiative. There were three other measures (which ones?) which showed a trend toward improvement. Note that all of the measures that showed stat significant improvement were process measures. Can we say anything about the other measures – 2 showed stat sig decline and 9 showed a trend toward improvement or no change – how many showed a trend and how many no change? 3 measures no change 3 measures decline 3 measures improvement
  7. Facilitators used a wide array of tools including: practice-wide assessments, PCMH team based care workflows, Lean trainings and online courses. For example, facilitators encouraged practices with low rates of screening for depression to use root cause analysis to understand the problem and to ensure care team members were working at highest professional levels. Practice facilitators can be effective in helping clinical teams improve patient quality and experience. While helping a practice team implement a complex intervention like the PCMH, a practice facilitator acted as a: Convener Facilitator Agenda setter & task master Skill builder Knowledge broker Sounding board Problem solver Change agent
  8. We decided to support our practices to improve their clinical outcomes. As first step we have looked ta measures that have trend towards improvement. We have picked these measures based on discussions with MHF and measures that are more amenable for measurement , workflows etc.
  9. Facilitators used a wide array of tools including: practice-wide assessments, PCMH team based care workflows, Lean trainings and online courses. For example, facilitators encouraged practices with low rates of screening for depression to use root cause analysis to understand the problem and to ensure care team members were working at highest professional levels.
  10. Here are the aggregate results across all practices from baseline to time 11, 3 of the 5 targeted measures showed significant improvement from baseline to Time 11.
  11. An example of practice run chart that showed improvement in self mangemt goal for diabetes after they have changed a process
  12. Empower staff to continue QI work and develop plan for ongoing QI Reasonable or Single Focus measures Monthly data-driven reporting on progress Strong leadership and comfort with HIT associated with higher levels of current performance. Embrace technology as a vital support of the change rather than exhibiting a fear and a reluctance to invest and use technology to full functionality
  13. not clear that this targeted facilitation was causal
  14. So, in summary, at the close of the MA PCMHI which was a 3 year initiative, 11/22 clinical measures showed statistically significant improvement And these measures were process measures and in some cases, measures of new or newly documented processes.
  15. These findings have implications for policy and practice; Our findings suggest the importance of implementing key foundational elements of the PCMH as an approach to improving clinical quality. Lastly, it is helpful to understand the factors that are correlated with performance on clinical quality measures to inform the focus of our transformation support.
  16. Thank you for giving us this opportunity Will be happy to take questions …