Module 4 Part 3 Operationalizing the Measures

Slides:



Advertisements
Similar presentations
PROJECT TITLE Project Leader: Team: Executive Project Sponsor (As Required): Date: Month/Day/Year 110/17/2014 V1.
Advertisements

HITSC Clinical Quality Workgroup Jim Walker March 27, 2012.
Quality Improvement/ Quality Assurance Amelia Broussard, PhD, RN, MPH Christopher Gibbs, JD, MPH.
Funded by HRSA HIV/AIDS Bureau Selecting an Indicator & Collecting Performance Data Barbara M Rosa, RN-C, MS.
Healthy Child Development Suggestions for Submitting a Strong Proposal.
Medication Reconciliation Insert your hospital’s name here.
Unit 4: Monitoring Data Quality For HIV Case Surveillance Systems #6-0-1.
NANDA International Investigating the Diagnostic Language of Nursing Practice.
1 APCD Analytical Workgroup May 30,
Purpose Program The purpose of this presentation is to clarify the process for conducting Student Learning Outcomes Assessment at the Program Level. At.
Unit 11.2b: Data Quality Attributes Data Quality Improvement Component 12/Unit 11 Health IT Workforce Curriculum Version 1.0/Fall
Unit 11C: Data Quality Attributes Data Quality Improvement This material was developed by Johns Hopkins University, funded by the Department of Health.
The Audit Process Tahera Chaudry March Clinical audit A quality improvement process that seeks to improve patient care and outcomes through systematic.
Slide 1 Long-Term Care (LTC) Collaborative PIP: Medication Review Tuesday, October 29, 2013 Presenter: Christi Melendez, RN, CPHQ Associate Director, PIP.
Incorporating Health Data from Electronic Health Record Systems and Administrative Data Sets into Public Health Systems for Administrative Uses – A Landscape.
Making better healthcare possible ® Meaningful Use Stage 2 The Changing Seasons of Healthcare Conference WV-HFMA/WV-HIMSS September 27, 2012.
Center for Innovation and Research A Partnership between Michigan State University and Sparrow Health System Mission To collaboratively transform the delivery.
The Quality Improvement Project MODULE 4: A FRAMEWORK FOR QI: THE MODEL FOR IMPROVEMENT October 2015.
The Michigan Primary Care Transformation (MiPCT) Project MiPCT Update PO Webinar May 20 th, 2015.
By: Rebecca Cameron Amie Dennis Amy Everson Debborah Stokes.
Health Care Plan: Overall Development, Key Measures, & Data Collection MPHCA CHC Growth & Capacity Building Symposium July 22, 2010.
MEASURE Evaluation Data Quality Assurance Workshop Session 3 Introduction to Routine Data Quality Assessment.
T Relationships do matter: Understanding how nurse-physician relationships can impact patient care outcomes Sandra L. Siedlecki PhD RN CNS.
© 2016 Chapter 6 Data Management Health Information Management Technology: An Applied Approach.
A FRUIT AND VEGETABLE PRESCRIPTION PROGRAM
CTC-Clinical Strategy Committee April 15, 2016
Performance Improvement Project Validation Process Outcome Focused Scoring Methodology and Critical Analysis Presenter: Christi Melendez, RN, CPHQ Associate.
DR Seema Singhal MS, FACS, FICOG, FCLS, MNAMS Assistant Professor
OpenNotes: Expanding patient access to clinical notes
NYSDOH AIDS Institute Quality of Care Program eHIVQUAL
Unit 4: Monitoring Data Quality For HIV Case Surveillance Systems
Presenter: Christi Melendez, RN, CPHQ
WHO Collaborating Centre in Calgary, Canada
What is a Learning Collaborative?
Performance Improvement Project Validation Process Outcome Focused Scoring Methodology and Critical Analysis Presenter: Christi Melendez, RN, CPHQ Associate.
ICD-10 and Clinical Documentation
Mark A. Smith, MD, MBA, FACS Clinical Assistant Professor of Surgery
TCPI Project Pathway: Session 3 of 8 Staff Engagement: Teamwork and Joy # 6 and 19 (24) To QIA for possible use: Thank you for taking my call and listening.
PICO Power Point Presentation
Jenny reese pro project implementation lead
Improved Analytics for P4P
Improving the performance reporting of primary care patient experience
Outline Why Focus on PN Safety? PN Safety Gap Analysis Survey Results
Modified Stage 2 Meaningful Use: Objective #10 – Public Health Reporting Massachusetts Medicaid EHR Incentive Payment Program July 21, 2016 Today’s presenter:
Point prevalence survey epidemiology
OpenNotes: Expanding patient access to clinical notes
Victoria Gemmell1 Professor Alex Mullen2
Urgent Care.
Care Coordination Work Group Meeting March 27th, 2018
Mid East Toronto Health Link
Module 5 Part 2 Interpreting Baseline Data Using Run Charts
21 NOVEMBER 2018 FREE STATE PROVINCE
30 JANUARY 2019 PRIVATE HEALTH ESTABLISHMENTS
Altemeier, O1 Anderson, J1 Tocki, K1 Swaka, L1, Herring, M2
Module 6 Part 2 Understanding Advantages of Control Charts for Improvement Science Adapted from: The Institute for Healthcare Improvement (IHI), the Agency.
Presenter: Kate Bell, MA PIP Reviewer
17 JANUARY 2019 MPUMALANGA PROVINCE
STEMI Accelerator Regional Systems of Care Demonstration Project
Module 4 Part 2 Selecting Measures
Module 6 Part 3 Choosing the Correct Type of Control Chart Limits
TEXAS DSHS HIV Care services group
Module 3 Part 2 Developing and Implementing a QI Plan: Planning and Execution Adapted from: The Health Resources and Services Administration (HRSA) Quality.
Quality Improvement Teams Why and What?
Module 5 Part 1 Understanding Baseline Data
Module 2 Part 2 Quality Improvement Teams Who and How?
Module 5 Part 3 Understanding System Stability: Types and Causes of Process Variation Adapted from: The Institute for Healthcare Improvement (IHI), the.
Coaching change through data driven team work
Module 6: Case Report Form (Chart Abstraction)
CAP & PDSA Expectations for 2018
Outcomes from social prescribing
Presentation transcript:

Module 4 Part 3 Operationalizing the Measures Adapted from: The Institute for Healthcare Improvement (IHI), the Agency for Healthcare Research and Quality (AHRQ), and the Health Resources and Services Administration (HRSA) Quality Toolkits

Objectives Discuss the operational definitions of a family of measures Describe data sources for access to those measures

Creating Operational Definitions Why are operational definitions important?

Operational Definitions Operational definitions specify: What data will be collected When (the frequency of measurement) How (using EHR, CRF, surveys, etc) Agreement must be reached by team Agreement must include: Who will collect the data Criteria for judgment of data quality Missingness and proportion of eligible patients done

Choose & Operationalize Performance Measures Include staff in the measure selection process Choose performance measures with the following characteristics: Align with your organization’s goals Demonstrate a relationship to positive health outcomes Under the control of the healthcare system Reliable, valid, and standardized

Operational Definition Example: Discharge Care Medication Measure Criteria: Complete for all STEMI patients with stent at discharge. Medication Reconciliation at discharge Process Measure: Address indication, action, dose, how to take 1= Yes; 0=No; U=Unknown; NA=NA (no points) New medications were addressed? Changes to home medications were addressed? Deletions to home medications were addressed? Continuation of home medications addressed? Total score (total answered yes, no, or unknown (one for yes, or zero for no or unknown) *Submit summary data each month on the 15th day, 6 weeks after the 30th day of the month. Example: January patients are due March 15 Criteria for use specified? What, When, How to collect data for the measure? Who will complete the data form or audit—agreed upon and clear?

Operational Definition Example: Discharge Care Medication Measure Data dictionary: Include additional details on the measure. Medication Reconciliation at discharge Process Measure: Address indication, action, dose, how to take What population: Inclusion/exclusion; numerator/denominator What type of measure, improvement target specified? Data element definition: ICD-9 vs ICD-10 Sampling specification? Analysis suggestions? Risk adjustment; accuracy, data cleaning specified? Reporting recommendations: Aggregate rate generated from count data and reported as a proportion

Example Comments Electronic health records (EHRs) can be helpful in constructing and tracking quality measures EHRs aid in quality improvement by improving clinical documentation and by making standardized patient data readily available for collection EHRs are a source of detailed, current patient information for use in constructing performance measures

Summary Select an AIM Select measures for each AIM Include a FAMILY of operational measures Process Outcome Balancing / Structure Operationalize definitions for each measure