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Experience and Potential for Transformational Change in Cancer Care Delivery  David A. Haggstrom, MD, MAS Regenstrief Conference October 3, 2007
Tranformational change ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
RAND quality report ,[object Object],[object Object],McGlynn E et al.,  NEJM,  2003.
Cancer policy statements ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
National Initiative for Cancer Care Quality ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Schneider E et al.,  Jnl Clin Onc,  2005.
Outline ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Data Quality measure Transformative technology Provider Patient System
Health care quality and  Overutilization ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Unmeasured quality gap Good Quality  Poor Quality Good Quality Underuse Overuse
[object Object],[object Object],[object Object],[object Object],[object Object],Unmeasured quality gap Good Quality  Poor Quality Health care quality and Uncertainty Uncertainty Certainty
Other dimensions of quality ,[object Object],[object Object],[object Object],[object Object]
Importance of measurement PDSA cycles Act Plan Study Do Act Plan Study Do
How do we measure cancer care quality? Risk Assessment Diagnosis Cancer Treatment Screening Palliative Care General population Cancer population Longitudinal care Recurrence Surveillance
With what data do we measure quality? United States ,[object Object],General population SEER cancer registries Medicare Risk Assessment Diagnosis Cancer Treatment Screening Palliative Care Recurrence Surveillance
With what data do we measure quality? Michigan ,[object Object],General population Medicare/Medicaid State cancer registry Risk Assessment Diagnosis Cancer Treatment Screening Palliative Care Recurrence Surveillance
With what data do we measure quality? Iowa ,[object Object],General population Private claims State cancer registry Risk Assessment Diagnosis Cancer Treatment Screening Palliative Care Recurrence Surveillance
With what data do we measure quality? Indiana ‘Connect the System’ Cancer population Longitudinal care IN State cancer registry SPIN VA cancer registry ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],LINK
[object Object],[object Object],[object Object],[object Object],[object Object],Primary care – quality measure VA-INPC Cancer population Longitudinal data Risk Assessment Diagnosis Cancer Treatment Screening Palliative Care Recurrence Surveillance
[object Object],[object Object],[object Object],[object Object],[object Object],Surgery treatment – quality measure Cancer population Longitudinal data VA/INPC Risk Assessment Diagnosis Cancer Treatment Screening Palliative Care Recurrence Surveillance
[object Object],[object Object],[object Object],[object Object],[object Object],Oncology treatment – quality measure Cancer population Longitudinal data VA/INPC Risk Assessment Diagnosis Cancer Treatment Screening Palliative Care Recurrence Surveillance
Transformative technology #1: Health information exchange ,[object Object],Surgery Oncology timely quality performance reports Risk Assessment Diagnosis Cancer Treatment Screening Palliative Care Recurrence Surveillance
Transformative technology #2: Clinical decision support Risk Assessment Diagnosis Cancer Treatment Screening Recurrence Surveillance High risk Ave risk / Follow-up of abnormal tests Surveillance colonoscopy ONCWATCH REMINDERS real-time quality performance Cancer screening
[object Object],[object Object],Implementation  research of health information technology β  site No CDS Active system re-design 5 more hospitals Passive dissemination 5 regional hospitals Learning system ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],New CDS Implementation Plan ,[object Object],[object Object],[object Object],Control hospitals
Transformative technology #2: Clinical decision support Risk Assessment Diagnosis Cancer Treatment Screening Recurrence Surveillance High risk Low risk / Follow-up of abnormal tests Surveillance colonoscopy Physician specialty General internist +/- gastroenterologist +/- surgeon real-time quality performance Cancer screening REMINDERS
[object Object],Uncertain accountability Risk Assessment Diagnosis Cancer Treatment Screening Recurrence Surveillance Primary care Radiologist Proceduralist Who is responsible? Information exchange
[object Object],Uncertain accountability Risk Assessment Diagnosis Cancer Treatment Screening Recurrence Surveillance Primary care Surgery Oncology Who is responsible? Information exchange
Approaches to uncertain accountability Promoting continuity in fragmented health care system ,[object Object],[object Object],[object Object],[object Object]
‘ Extended medical staff’ definition ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Fisher E et al.,  Health Affairs, 2006
Concentration of patients among extended medical staff 73% % of patient received services from extended medical staff 90% % of physician inpatient work at primary hospital 98% 2% >500 2% 48% 50-499 <1% 50% 0-49 Extended medical staff Individual providers Patient panel size
Advantages of ‘extended medical staff’ as locus of accountability ‘Positive incentives’ ,[object Object],[object Object],[object Object],[object Object],[object Object]
Patient-centered approach Promoting continuity in fragmented cancer care system ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Transformative technology #3: Personal health records Risk Assessment Screening Diagnosis  Treatment Surveillance Provider -Oncologist -Radiation therapist -Surgeon -Primary Care -Radiologist -Proceduralist -Primary Care -Primary Care -Oncologist -Surgeon -Radiologist -Proceduralist PHR Palliative care Patient/ caregiver Longitudinal care
[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Study/project designs Appropriate care Clinical processes Quality personal health record no personal health record
Patient perceptions quality of cancer care ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Ayanian J et al.,  Jnl Clin Onc,  2005.
Racial/ethnic differences patient perceptions of quality of care
Health care quality and Access ,[object Object],[object Object],[object Object],Unmeasured quality gap Good Quality  Poor Quality Population with access to health care system No access
Transformation technology & implementation ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Transformation accountability ,[object Object],[object Object],[object Object],[object Object],[object Object]
Transformation what we measure is what we change  (at least on purpose) ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Act Plan Study Do Act Plan Study Do
Indy quality performance  measure the right things at the right time Act Plan Study Do Act Plan Study Do
[object Object]
Health care quality and  Overutilization ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Unmeasured quality gap Good Quality  Poor Quality Good Quality Underuse Overuse
Health care quality and Access ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Unmeasured quality gap Good Quality  Poor Quality Population with access to health care system No access
Implementation research ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
What is measured targets what is changed ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
[object Object]
Importance of measurement PDSA cycles X X Act Plan Study Do Act Plan Study Do
Subspecialty care Primary care Unmeasured quality gap Poor Quality Good Quality Shared care
Transformative technology #2: Clinical decision support Oncwatch Risk Assessment Diagnosis Cancer Treatment Screening Recurrence Surveillance High risk Low risk / Follow-up of abnormal tests Surveillance colonoscopy REMINDERS Physician specialty General internist +/- gastroenterologist +/- surgeon real-time feedback Cancer screening
Sample sizes 98% 2% >500 2% 48% 50-499 <1% 50% 0-49 Assessment of providers as group (extended medical staff) Assessment of providers as individuals Patient population size
Cancer examples of use of non-evidence-based interventions ,[object Object],[object Object],[object Object]
Atlanta measures ,[object Object]
[object Object],[object Object],α / β  site Non-OncWatch Active implementation 5 more sites Passive diffusion 5 regional sites Learning system ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],OncWatch Implementation Plan ,[object Object],[object Object],[object Object],Control sites
[object Object]
Cancer quality/performance measures ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Survivorship care plan ,[object Object],Personal health record
Types of uncertainty ,[object Object],[object Object],[object Object]
[object Object],[object Object]
How do we measure performance? Michigan ,[object Object],[object Object],General population Medicaid State cancer registry Risk Assessment Diagnosis Cancer Treatment Screening Palliative Care Recurrence Surveillance
Health care quality improvement or implementation research Poor Quality Health Care Good Quality Poor Quality Good Quality
Quality improvement framework Measurement of Cancer Care Quality Organizations Providers Pathway 1: IMPLEMENTATION Good Poor ,[object Object],[object Object],[object Object],INCENTIVE TO CHANGE Pathway 2: SELECTION REPORTS PUBLIC Berwick D, Institute for Healthcare Improvement,  Medical Care
Quality improvement framework Measurement of Cancer Care Quality Organizations Providers Pathway 1: IMPLEMENTATION Good Poor ,[object Object],[object Object],[object Object],INCENTIVE TO CHANGE Pathway 2: SELECTION REPORTS PUBLIC Berwick D, Institute for Healthcare Improvement,  Medical Care
Quality improvement framework Measurement of Cancer Care Quality Organizations Providers Pathway 1: IMPLEMENTATION Good Poor
Quality improvement framework Measurement of Cancer Care Quality Organizations Providers Pathway 1: IMPLEMENTATION Good Poor ,[object Object],[object Object],[object Object],INCENTIVE TO CHANGE Pathway 2: SELECTION REPORTS PUBLIC Berwick D, Institute for Healthcare Improvement,  Medical Care
Uncertain accountability ,[object Object]
Diagnosis Cancer Treatment Screening Recurrence Surveillance
[object Object],[object Object],[object Object]
[object Object],[object Object],[object Object]
IOM:  Crossing the Quality Chasm ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Tranformational change ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Medicare Medicaid Private Insurance Uninsured Indiana Network for Patient Care Regenstrief Medical Record System (RMRS) General population Cancer population VA INPC State Registry SPIN Risk Assessment Diagnosis Cancer Treatment Screening Recurrence Surveillance
Risk Assessment Timely Diagnosis Cancer Treatment Screening Surveillance for Recurrence Genomics Risk of Cancer Death
Risk Assessment Diagnosis Cancer Treatment Screening Recurrence Surveillance General population Cancer population (xx%) SEER (20% US) State Registries (Indiana) VA Cancer registries D A T A S O U R C E ,[object Object],[object Object],[object Object],VA Medicare Medicaid private insurance Uninsured
Risk Assessment Diagnosis Cancer Treatment Screening Recurrence Surveillance Cancer population SEER (20% US) State Registries (Indiana) VA Cancer registries D A T A S O U R C E VA Medicare Medicaid private insurance Uninsured
Risk Assessment Diagnosis Cancer Treatment Screening Recurrence Surveillance Cancer population SEER (20% US) State Registries (Indiana) VA Cancer registries D A T A S O U R C E SPIN
Transformative technology #3: Personal health records Risk Assessment Screening Diagnosis  Treatment Surveillance Patient/ caregiver Provider Provider Provider Provider Provider Follow-up of abnormal tests may be improved by coordination Survivorship care may be improved by coordination Patient/ caregiver Patient/ caregiver PHR Patient/ caregiver Palliative care Patient/ caregiver Longitudinal care
VA
Risk Assessment Diagnosis Cancer Treatment Screening Recurrence Surveillance General population Cancer population (xx%) R E S E A R C H Q U E S T I O N Genomic risk Health Services Research SEER (20% US) State Registries (Indiana) VA Cancer registries
Fragmented health care delivery = fragmented data ,[object Object],insurance coverage location 65 VA Medicare Medicaid private insurance Uninsured SEER SEER-Medicare Medicare Wellpoint UnitedHealth Medicaid medical record VA INPC
Fragmented health care delivery = fragmented data ,[object Object],insurance coverage location 65 VA Medicare Medicaid private insurance Uninsured SEER SEER-Medicare
Fragmented health care delivery = fragmented data ,[object Object],insurance coverage location 65 SEER SEER-Medicare VA Medicare Medicaid private insurance Uninsured
Coordination of care across the continuum Risk Assessment Screening Diagnosis   Treatment Surveillance Patient Provider Provider Provider Provider Provider Follow-up of abnormal FOBTs may be improved by coordination Survivorship care may be improved by coordination Patient Patient/ caregiver Patient PHR
[object Object],insurance coverage location
 
 
Risk Assessment Diagnosis Cancer Treatment Screening Recurrence Surveillance General population Cancer population (xx%) R E S E A R C H Q U E S T I O N Genomic risk Health Services Research SEER (20% US) State Registries (Indiana) VA Cancer registries
Risk Assessment Diagnosis Cancer Treatment Screening Recurrence Surveillance General population Cancer population SEER (20% US) State Registries (Indiana) VA Cancer registries D A T A S O U R C E
Unmeasured quality gap Health Care Good Quality  Poor Quality Certainty Clinical uncertainty Health Care Quality and Uncertainty
How do we measure performance? Risk Assessment Diagnosis Cancer Treatment Screening Recurrence Surveillance General population Cancer population SEER Medicare Longitudinal care State cancer registry Medicaid
[object Object],[object Object],[object Object],[object Object],[object Object],Risk Assessment Diagnosis Cancer Treatment Screening Recurrence Surveillance General population State cancer registry Private claims
[object Object],[object Object],[object Object],[object Object],[object Object],Risk Assessment Diagnosis Cancer Treatment Screening Recurrence Surveillance General population Cancer population Longitudinal data
How do we measure performance? Virginia? ,[object Object],Risk Assessment Diagnosis Cancer Treatment Screening Recurrence Surveillance General population Medicare State cancer registry
[object Object],[object Object],[object Object],[object Object],[object Object],Risk Assessment Diagnosis Cancer Treatment Screening Recurrence Surveillance General population Cancer population Longitudinal data
Coordination of care across the continuum Risk Assessment Screening Diagnosis  Treatment Surveillance Patient/ caregiver Provider Provider Provider Provider Provider Follow-up of abnormal FOBTs may be improved by coordination Survivorship care may be improved by coordination Patient/ caregiver Patient/ caregiver Patient/ caregiver PHR

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David Haggstrom Regenstrief Conference Slides

  • 1. Experience and Potential for Transformational Change in Cancer Care Delivery David A. Haggstrom, MD, MAS Regenstrief Conference October 3, 2007
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  • 10. Importance of measurement PDSA cycles Act Plan Study Do Act Plan Study Do
  • 11. How do we measure cancer care quality? Risk Assessment Diagnosis Cancer Treatment Screening Palliative Care General population Cancer population Longitudinal care Recurrence Surveillance
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  • 20. Transformative technology #2: Clinical decision support Risk Assessment Diagnosis Cancer Treatment Screening Recurrence Surveillance High risk Ave risk / Follow-up of abnormal tests Surveillance colonoscopy ONCWATCH REMINDERS real-time quality performance Cancer screening
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  • 22. Transformative technology #2: Clinical decision support Risk Assessment Diagnosis Cancer Treatment Screening Recurrence Surveillance High risk Low risk / Follow-up of abnormal tests Surveillance colonoscopy Physician specialty General internist +/- gastroenterologist +/- surgeon real-time quality performance Cancer screening REMINDERS
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  • 27. Concentration of patients among extended medical staff 73% % of patient received services from extended medical staff 90% % of physician inpatient work at primary hospital 98% 2% >500 2% 48% 50-499 <1% 50% 0-49 Extended medical staff Individual providers Patient panel size
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  • 30. Transformative technology #3: Personal health records Risk Assessment Screening Diagnosis Treatment Surveillance Provider -Oncologist -Radiation therapist -Surgeon -Primary Care -Radiologist -Proceduralist -Primary Care -Primary Care -Oncologist -Surgeon -Radiologist -Proceduralist PHR Palliative care Patient/ caregiver Longitudinal care
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  • 32. Study/project designs Appropriate care Clinical processes Quality personal health record no personal health record
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  • 34. Racial/ethnic differences patient perceptions of quality of care
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  • 39. Act Plan Study Do Act Plan Study Do
  • 40. Indy quality performance measure the right things at the right time Act Plan Study Do Act Plan Study Do
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  • 47. Importance of measurement PDSA cycles X X Act Plan Study Do Act Plan Study Do
  • 48. Subspecialty care Primary care Unmeasured quality gap Poor Quality Good Quality Shared care
  • 49. Transformative technology #2: Clinical decision support Oncwatch Risk Assessment Diagnosis Cancer Treatment Screening Recurrence Surveillance High risk Low risk / Follow-up of abnormal tests Surveillance colonoscopy REMINDERS Physician specialty General internist +/- gastroenterologist +/- surgeon real-time feedback Cancer screening
  • 50. Sample sizes 98% 2% >500 2% 48% 50-499 <1% 50% 0-49 Assessment of providers as group (extended medical staff) Assessment of providers as individuals Patient population size
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  • 60. Health care quality improvement or implementation research Poor Quality Health Care Good Quality Poor Quality Good Quality
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  • 63. Quality improvement framework Measurement of Cancer Care Quality Organizations Providers Pathway 1: IMPLEMENTATION Good Poor
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  • 66. Diagnosis Cancer Treatment Screening Recurrence Surveillance
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  • 71. Medicare Medicaid Private Insurance Uninsured Indiana Network for Patient Care Regenstrief Medical Record System (RMRS) General population Cancer population VA INPC State Registry SPIN Risk Assessment Diagnosis Cancer Treatment Screening Recurrence Surveillance
  • 72. Risk Assessment Timely Diagnosis Cancer Treatment Screening Surveillance for Recurrence Genomics Risk of Cancer Death
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  • 74. Risk Assessment Diagnosis Cancer Treatment Screening Recurrence Surveillance Cancer population SEER (20% US) State Registries (Indiana) VA Cancer registries D A T A S O U R C E VA Medicare Medicaid private insurance Uninsured
  • 75. Risk Assessment Diagnosis Cancer Treatment Screening Recurrence Surveillance Cancer population SEER (20% US) State Registries (Indiana) VA Cancer registries D A T A S O U R C E SPIN
  • 76. Transformative technology #3: Personal health records Risk Assessment Screening Diagnosis Treatment Surveillance Patient/ caregiver Provider Provider Provider Provider Provider Follow-up of abnormal tests may be improved by coordination Survivorship care may be improved by coordination Patient/ caregiver Patient/ caregiver PHR Patient/ caregiver Palliative care Patient/ caregiver Longitudinal care
  • 77. VA
  • 78. Risk Assessment Diagnosis Cancer Treatment Screening Recurrence Surveillance General population Cancer population (xx%) R E S E A R C H Q U E S T I O N Genomic risk Health Services Research SEER (20% US) State Registries (Indiana) VA Cancer registries
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  • 82. Coordination of care across the continuum Risk Assessment Screening Diagnosis Treatment Surveillance Patient Provider Provider Provider Provider Provider Follow-up of abnormal FOBTs may be improved by coordination Survivorship care may be improved by coordination Patient Patient/ caregiver Patient PHR
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  • 86. Risk Assessment Diagnosis Cancer Treatment Screening Recurrence Surveillance General population Cancer population (xx%) R E S E A R C H Q U E S T I O N Genomic risk Health Services Research SEER (20% US) State Registries (Indiana) VA Cancer registries
  • 87. Risk Assessment Diagnosis Cancer Treatment Screening Recurrence Surveillance General population Cancer population SEER (20% US) State Registries (Indiana) VA Cancer registries D A T A S O U R C E
  • 88. Unmeasured quality gap Health Care Good Quality Poor Quality Certainty Clinical uncertainty Health Care Quality and Uncertainty
  • 89. How do we measure performance? Risk Assessment Diagnosis Cancer Treatment Screening Recurrence Surveillance General population Cancer population SEER Medicare Longitudinal care State cancer registry Medicaid
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  • 94. Coordination of care across the continuum Risk Assessment Screening Diagnosis Treatment Surveillance Patient/ caregiver Provider Provider Provider Provider Provider Follow-up of abnormal FOBTs may be improved by coordination Survivorship care may be improved by coordination Patient/ caregiver Patient/ caregiver Patient/ caregiver PHR