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Published on: February 19, 2021
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Continuous quality improvement in measure development: Lessons from building a novel clinical feedback system
Samuel S Nordberg1,2, Andrew A McAleavey3, Christian Moltu4,5
1Harvard School of Population Medicine, Boston, MA, USA. samnordberg@gmail.com.
Summary
Developing optimal clinical feedback systems requires continuous quality improvement. This iterative method, incorporating stakeholder input, created a novel measurement system for behavioral health services.
Area of Science:
- Psychological treatment
- Behavioral health services
- Clinical feedback systems
Background:
- Many clinical feedback instruments in psychological treatment are outdated.
- There is a need for updated, responsive measurement tools.
Purpose of the Study:
- To describe a novel measure development method for clinical feedback systems.
- To embrace continuous quality improvement in psychological treatment measures.
Main Methods:
- Utilized lean continuous quality improvement, action research, and practice research networks.
- Employed iterative development cycles with stakeholder (patient and provider) feedback.
- Integrated quantitative findings with qualitative stakeholder input.
Main Results:
- Developed a novel measurement system with 19 subscales using branching logic.
- Established a supporting practice research network for ongoing development over 5 years.
- Demonstrated the effectiveness of iterative stakeholder feedback in measure development.
Conclusions:
- Practical aspects of measure development, such as embracing change and iteration, are crucial.
- Systematically seeking stakeholder feedback is key to improving clinical feedback systems.
- Continuous quality improvement methods can enhance the development of psychological treatment measures.
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