This webcast addresses the rationale for collecting race and ethnicity data. Discusses the challenges and successes of these data collection efforts, explain why hospitals, emergency rooms, and surgery centers are logical places for data collection, and provide a road map for how to begin making the changes necessary to succeed.
Learning Objectives:
- Identify at least three examples of reported disparities in healthcare
- Describe why improved race and ethnicity data will help individual hospitals and facilities identify disparities in healthcare quality at their institution
- Illustrate successful strategies that are being used to improve the data collections process
Source:
University at Albany School of Public Health
Topics:
Health Equity
Program evaluation
Quality Improvement
Social Determinants of Health
Benchmarks:
Quality Improvement/Evaluation
You have a great idea for an improvement project to reduce infection rates at your organization. You and your team have created a meaningful aim, crafted a useful set of measures, and brainstormed several creative change ideas to test in the coming months. There’s support from leadership, energy from staff, and excitement around every corner. You’re ready to go!
Except for one thing — now you need to successfully manage the project.
Managing a quality improvement project is a critical skill for anyone interested in making care — and systems — better where they work. But for many in health care, project management is not a full-time job. In fact, there’s a sizable gap between coming up with a great idea for a project and guiding a team to successful, meaningful improvements. Bridging that gap is what we discussed on this WIHI.
Whether you’re about to manage your first improvement project or your 50th, whether you manage teams of four or teams of 40, this episode of WIHI will show you the strategies you can test and use immediately, examples you can share with colleagues, and valuable tools you can bring to your next quality improvement project.
Source:
Institute for Healthcare Improvement
Topics:
Group Processes/Facilitation
Project Schedule
Quality Improvement
Benchmarks:
Quality Improvement/Evaluation
Provides an overview of the steps required to implement a program theory-driven evaluation. Steps include stakeholder engagement, describing the program, developing a logic model, focusing the evaluation, data collection, drawing conclusions, and using evaluation results.
Source:
California Pacific Public Health Training Center - UC Davis
Topics:
Data Utilization
Program evaluation
Project Scope
Quality Improvement
Benchmarks:
Quality Improvement/Evaluation
This session discusses the issues to consider when making decisions about data collection. It will survey the most common data collection methods used in the evaluation of MCH programs. Students will get to outline a data collection plan for the Child Wellness Program. NOTE: This session is part five of a six-course series.
Learning Objectives:
- Identify issues to consider when collecting data for program evaluation
- Describe the strengths and limitations of quantitative and qualitative methods used in program evaluation
- Discuss decision-making issues regarding the selection or design of instruments to measure outcomes
- Apply knowledge to outline a data collection plan for the Child Wellness Program
Source:
South Central Public Health Partnership
Topics:
Program evaluation
Quality Improvement
Benchmarks:
Quality Improvement/Evaluation
This 30-minute e-learning module is the first of a five-part quality improvement curriculum to build the capacity of Title X grantees to fulfill the QFP recommendation for family planning entities to “conduct quality improvement.”
By the end of the module, learners will be able to:
- Define quality improvement as it relates to the QFP
- Explain how quality improvement is different than quality assurance
- Describe the four guiding principles of quality improvement
Source:
National Family Planning Training Center
Topics:
Quality Improvement
Benchmarks:
Quality Improvement/Evaluation
This e-learning module is the second in a five-part quality improvement curriculum to build the capacity of Title X grantees to fulfill the QFP recommendation for family planning entities to “conduct quality improvement.”
By the end of this module, learners will be able to:
- Describe three quality improvement methodologies that can be used to improve family planning services;
- Use the Model for Improvement to conduct quality improvement;
- Conduct Plan-Do-Study-Act (PDSA) cycles
Source:
National Family Planning Training Center
Topics:
Quality Improvement
Benchmarks:
Quality Improvement/Evaluation
This e-learning module is the third in a five-part quality improvement curriculum to build the capacity of Title X grantees to fulfill the QFP recommendation for family planning entities to “conduct quality improvement.”
By the end of this module, learners will be able to:
- Explain how data are used to guide quality improvement for family planning services using the Model for Improvement
- List three types of measures for monitoring quality
- Analyze and interpret quality improvement data
Source:
National Family Planning Training Center
Topics:
Quality Improvement
Reproductive Life Planning/Family Planning
Benchmarks:
Quality Improvement/Evaluation