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Analyzing variability in pain management using electronic health record data.
Joanne G Samuels1, Robin L Bliss
1University of New Hampshire, Durham, NH 03824, USA. jrduffy@iupui.edu
Journal of Nursing Care Quality
|May 8, 2012
Summary
Pain management variability impacts patient outcomes. Electronic health records reveal that increased pain variability correlates with less frequent assessments and more frequent interventions, guiding quality improvement efforts.
Area of Science:
- Healthcare quality improvement
- Clinical informatics
- Pain management
Background:
- Variability in clinical processes can negatively impact patient outcomes.
- Effective pain management relies on consistent and evidence-based processes.
- Electronic health records (EHRs) offer a valuable data source for analyzing clinical processes.
Purpose of the Study:
- To analyze the relationship between variability in pain management processes and patient outcomes.
- To identify specific areas within pain management workflows that require improvement.
- To demonstrate the utility of EHR data for quality improvement initiatives in pain management.
Main Methods:
- Pain management documentation was extracted from the EHR systems of three hospitals.
- Process and outcome variables related to pain management were constructed.
- Simple linear regression analyses were performed to examine relationships between variables.
Main Results:
- A significant relationship was identified between increased pain variability and less frequent pain assessments.
- Increased pain variability was also associated with more frequent pain interventions.
- These findings highlight specific process deviations that can be targeted for improvement.
Conclusions:
- EHR data can be effectively utilized to identify and address variability in pain management.
- Targeting assessment frequency and intervention patterns can lead to improved pain management processes.
- This study demonstrates a practical application of clinical informatics for enhancing patient care quality.
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