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Improving Office Care for Chest Pain

Improving Office Care for Chest Pain. Thomas D. Sequist , MD MPH Associate Professor of Medicine and Health Care Policy Brigham and Women ’ s Hospital, Division of General Medicine Harvard Medical School, Department of Health Care Policy Harvard Vanguard Medical Associates. Why Chest Pain?.

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Improving Office Care for Chest Pain

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  1. Improving Office Care for Chest Pain Thomas D. Sequist, MD MPH Associate Professor of Medicine and Health Care Policy Brigham and Women’s Hospital, Division of General Medicine Harvard Medical School, Department of Health Care Policy Harvard Vanguard Medical Associates

  2. Why Chest Pain? • Chest pain is a common symptom • Increasing burden in primary care • Frequent missed diagnosis of acute MI • Excess utilization of resources

  3. Patient Care Model Home without further testing Discharged Chest Pain Unit Primary care visit Home with further testing Inpatient Emergency Department ICU

  4. Patient Care Model Home without further testing Discharged Chest Pain Unit Primary care visit Home with further testing Inpatient Emergency Department ICU

  5. Primary Care Challenges • Low risk population • Limit excess resource utilization • Avoid missed diagnoses • Time-limited care • Cannot usually observe over several hours • No immediate cardiac stress testing • No immediate cardiac enzymes

  6. Can the Framingham Score Help? • Main utility is to raise awareness • FRS variables are generally available • FRS compares favorably with exercise stress testing

  7. Defining High Risk Patients Sequist et al. Arch Intern Med 2006.

  8. Study Questions • Can risk score alerts within an EHR improve risk-appropriate care for patients with chest pain? • What are the additional opportunities to improve the efficiency of chest pain care?

  9. Harvard Vanguard Medical Associates • Multi-specialty group practice • Integrated electronic health record • 15 ambulatory health centers • 175 primary care physicians • 300,000 adult patients

  10. Randomization Scheme 292 Primary Care Clinicians 7,083 patients (≥ 30 years old) Intervention Group 149 clinicians 3,634 patients Control Group 143 clinicians 3,449 patients High Risk 717 patients Low Risk 2917 patients High Risk 610 patients Low Risk 2839 patients

  11. Intervention Design • Identification of patients with chest pain • Medical assistant training • Automated calculation of Framingham Risk Score • Delivery of risk-appropriate recommendations via electronic alerts

  12. Risk Appropriate Recommendations • High risk patients (FRS ≥ 10%) • Electrocardiogram performance • Aspirin therapy • Low risk patients (FRS < 10%) • Avoidance of cardiac stress testing

  13. Entry of Chest Pain Complaint

  14. High Risk Patient Alert

  15. Low Risk Patient Alert

  16. SmartLink (.frsdetail)

  17. Baseline Patient Characteristics

  18. Clinical Care and Outcomes * Among 26 cases of AMI, 10 (36%) represented missed diagnoses

  19. Impact of Electronic Alerts High Risk Patients Low Risk Patients

  20. Clinician Views on Intervention Is the Framingham Risk Score a valid tool for evaluating chest pain?

  21. Clinician Views on Intervention Is a Risk Score Cutoff of 10% to identify high risk patients….

  22. Conclusions • Acute MI is uncommon among primary care patients with chest pain • Missed diagnosis of acute MI is common, while many low risk patients undergo cardiac stress testing • Electronic risk alerts do not change care patterns

  23. Implications • Failure to change care patterns • Is it lack of belief in the risk assessment tool? • Is it failure to deliver information effectively? • Do we need more comprehensive efforts? • Electronic health records represent one piece of a multi-component program

  24. Improving Efficiency of Chest Pain Care • Map flow of patients from primary care • Evaluate cost implications for varied evaluation and management strategies • Analyze variation in care patterns

  25. Patient Care Model Home without further testing Discharged Chest Pain Unit Primary care visit Home with further testing Inpatient Emergency Department ICU

  26. Estimated Average Costs Per Patient Home without further testing $293 Discharged $1,087 55% 37% Chest Pain Unit $3,192 47% Primary care visit Home with further testing $442 40% Inpatient $17,562 13% Emergency Department 5% ICU $47,575 3%

  27. Estimated Average Costs Per Patient Home without further testing $293 Discharged $1,087 55% 37% Chest Pain Unit $3,192 47% Primary care visit Home with further testing $442 40% Inpatient $17,562 13% Emergency Department 5% ICU $47,575 3%

  28. Physician Level Clinical Variation 10.8% Cardiac Stress Testing* 3.8% 26.7% 4.7% Emergency Department Triage* 1.3% 14.9% 0% 50% % of patients referred for care within physician practices Average Legend 95% Lower CI 95% Upper CI * p<0.01 for random effects of physician level variation.

  29. How Can the EHR Improve Efficiency? • Increasing awareness of pre-test probability • All variation is within low risk patients • Focus on low value emergency department referrals • Peer to peer education

  30. Clinical Process Flow EKG Home ETT Chest Pain Unit Stress ECHO Triage Emergency Dept Triage Primary care visit Triage Stress Nuclear Inpatient Cardiology ICU Home

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