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Good measurement for good improvement work.

Eugene C Nelson¹, Mark E Splaine, Stephen K Plume

¹Dartmouth Medical School, Lebanon, NH, USA. eugene.c.nelson@hitchcock.org

Quality Management in Health Care

|February 24, 2004

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This guide offers 11 procedures for effective measurement in quality improvement projects. Implementing these steps enhances data evaluation and publication potential for research findings.

Area of Science:

Healthcare Quality Improvement
Research Methodology
Scientific Publication

Background:

Quality improvement (QI) projects require robust measurement for reliable results.
Enhancing the evaluation and publication potential of QI research is crucial.
Effective measurement strategies are key to successful QI initiatives.

Purpose of the Study:

To provide guidance on measurement for local quality improvement projects.
To strengthen the evaluation of results from quality improvement efforts.
To increase the publication potential of quality improvement research.

Main Methods:

Eleven procedures are detailed to promote intelligent measurement in QI research.
These procedures cover topic selection, aim statement development, and research design.

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Methods include operational definitions, data collection planning, pilot testing, and analysis.

Main Results:

The procedures guide the development of reliable, valid, and sensitive measures.
They facilitate the construction of research designs and data displays.
The process supports intelligent interpretation of observed results.

Conclusions:

Adherence to these measurement procedures can enhance QI project outcomes.
Improved measurement strengthens the evidence base for QI interventions.
Systematic measurement increases the likelihood of QI research being published.