Creating Equity Dashboards to Monitor Racial, Ethnic and Linguistic Disparities in Health Care: Lessons from the Disparities Leadership Program DiversityRx.

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Presentation transcript:

Creating Equity Dashboards to Monitor Racial, Ethnic and Linguistic Disparities in Health Care: Lessons from the Disparities Leadership Program DiversityRx Workshop Brenda A. Battle, BSN, MBA March 12, 2013

Policy Statement Data stratified by race, ethnicity, language, gender, age and payer, will inform patient-centered care, culturally and linguistically competent care and services, and help to decrease health disparities/inequities. Timely, valid, and representative data collection is essential to the provision of quality and equitable care. Purpose of Policy The purpose of this policy is to extend beyond collecting data on patient’s race, ethnicity, language, gender, age and payer for compliance reasons; it is to enable the use of this data to understand the health care needs of the populations served and to provide data to support our ability to plan and customize programs and interventions to meet the needs of these populations, and to implement targeted, meaningful solutions to provide safe, quality care and improve health care outcomes. Data Stratification Policy 2 Dashboards |

3 Dashboard - readmissions Gender: Age: Race: Payor:

Equity indicators in clinical effectiveness – Harm events - Patient safety indicators (BSI, pressure ulcer, catheter-associated UTI, etc.) – Care transition/care coordination – hospital readmissions – Key external quality indicators – Other ambulatory care sensitive conditions Creating the intersection between quality, safety and equity 4 Dashboards |

Creating regression models that incorporates predictive variables to help identify a patient profile for 30-day readmissions, including indicators such as: Patient demographics Diagnosis Co-morbid conditions Primary Care MD Medications # of Previous Admissions Social determinants of health such as environment i.e., literacy levels, family support, environmental factors, etc. Evaluate data based on: Consistent patient population focus Consistent timeframes Predicting 5 Dashboards |

Community Health Needs Assessment – Community Benefit Clinical effectiveness Patient experience Targeting interventions toward populations 6 Dashboards |