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Published on: February 19, 2021
Using a summary measure for multiple quality indicators in primary care: the Summary QUality InDex (SQUID)
Paul J Nietert1, Andrea M Wessell, Ruth G Jenkins
1Department of Biostatistics, Bioinformatics, and Epidemiology, Medical University of South Carolina, Charleston, SC, USA. nieterpj@musc.edu
The Summary Quality Index (SQUID) effectively tracks primary care quality using electronic medical records (EMR). This tool demonstrated significant improvements during a quality initiative, showing high physician satisfaction.
Area of Science:
- Healthcare Quality Improvement
- Primary Care Analytics
- Electronic Medical Records (EMR) Data Utilization
Background:
- Assessing primary care quality is a national healthcare priority.
- Audit and feedback mechanisms can enhance care quality.
- Comprehensive quality indicators may be more effective than numerous, narrow ones.
Purpose of the Study:
- To describe the Summary Quality Index (SQUID) for tracking quality of care in primary care practices using EMRs.
- To evaluate the SQUID's utility within a multi-practice quality improvement (QI) project.
Main Methods:
- The SQUID incorporates 36 process and outcome measures derived from EMR data.
- Algorithms for SQUID calculation and statistical properties are detailed.
- The SQUID was applied in a QI initiative across over 100 ambulatory care practices.
Main Results:
- Patient-level SQUID indicates proportion of recommended care received; practice-level SQUID shows average patient care proportion.
- SQUID demonstrated statistically significant increases (p < 0.0001) during a QI initiative.
- Excellent internal consistency (Cronbach's alpha = 0.93) and positive physician feedback indicate high face validity.
Conclusions:
- The SQUID algorithm is a feasible and straightforward tool for quality improvement.
- Its statistical robustness and clear interpretation appeal to providers, health plans, and researchers.
- The SQUID facilitates effective tracking and enhancement of primary care quality.
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