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Updated: May 30, 2026
07:28
A Protocol of Manual Tests to Measure Sensation and Pain in Humans
Published on: December 19, 2016
Methods for improving efficiency in quality measurement: the example of pain screening
T G K Bentley1, J Malin, S Longino
1Partnership for Health Analytic Research, LLC, Beverly Hills, CA 90212, USA. tbentley@pharllc.com
Summary
Efficiently assessing cancer patient pain screening requires data from a patient and visit sample. This method provides accurate quality measure estimates, saving resources and improving care.
Area of Science:
- Oncology
- Health Services Research
- Quality Improvement
Background:
- Collecting excessive data for quality assessment is resource-intensive.
- Accurate estimation of quality-of-care measures is crucial for effective healthcare delivery.
- Pain screening is a vital component of cancer patient care.
Purpose of the Study:
- To evaluate three distinct methods for estimating quality-measure adherence.
- To determine the minimum visit data necessary for accurate quality-measure adherence estimates.
- To optimize resource allocation in healthcare quality assessment.
Main Methods:
- Utilized medical record abstraction for physician-level pain screening rates.
- Compared visit-specific, visit-level average, and patient-level average data approaches.
- Analyzed data from 106 Stage IV solid tumor patients at the VA Greater Los Angeles Health-care System.
Main Results:
- Pain screening adherence varied by estimation method.
- Patient-level and visit-level approaches required fewer data points for stable estimates.
- Precision of estimates improved with increased data, stabilizing at specific visit numbers.
Conclusions:
- Evaluating oncology pain screening measures is most efficient using a sample of patients and visits.
- This sampling approach offers a valid method for assessing visit-level quality measures in various healthcare settings.
- Optimizing data collection enhances the efficiency of quality of care assessments.
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