Using SQUID to Measure Quality in Primary Care
Author Information
Author(s): Paul J Nietert, Andreas M Wessell, Ruth G Jenkins, Chris Feifer, Lynne S Nemeth, Steven M Ornstein
Primary Institution: Medical University of South Carolina
Hypothesis
Can a summary measure of quality indicators improve the assessment of primary care quality?
Conclusion
The SQUID algorithm is a feasible and effective tool for measuring quality improvement in primary care.
Supporting Evidence
- The SQUID showed significant increases during a quality improvement initiative.
- Feedback from physicians indicated high face validity of the SQUID.
- The internal consistency of the SQUID was excellent with a Cronbach's alpha of 0.93.
- Practices reported using SQUID scores to identify patients needing care improvement.
- Mean SQUID scores increased significantly over the study period.
Takeaway
The SQUID helps doctors see how well they are doing in taking care of patients by summarizing many quality measures into one score.
Methodology
The SQUID was developed using 36 quality measures from electronic medical records, calculating the proportion of targets met by patients and practices.
Potential Biases
Potential bias due to reliance on electronic medical record documentation, which may not capture all relevant care.
Limitations
The SQUID equally weights all indicators, which may not reflect their clinical importance, and does not account for patient-specific contraindications.
Participant Demographics
Active adult patients over 18 years old from 89 primary care practices, with a mean age of 47.6 years and 40.6% male.
Statistical Information
P-Value
0.0001
Confidence Interval
2.24% to 2.63%
Statistical Significance
p < 0.0001
Digital Object Identifier (DOI)
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