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Analysis of Interview Breakoff in the Behavioral Risk Factor Surveillance System, 2018 and 2019
Jason Hsia1, Madison Gilbert2, Guixiang Zhao1
1Division of Population Health, National Center for Chronic Disease Prevention and Health Promotion, Centers for Disease Control and Prevention, Atlanta, Georgia.
AJPM Focus
|October 4, 2023
Summary
Survey breakoff, a key error in telephone surveys, increased in the Behavioral Risk Factor Surveillance System. Analysis revealed breakoff is linked to questionnaire length and content, impacting data quality.
Area of Science:
- Survey Methodology
- Public Health Surveillance
- Statistical Analysis
Background:
- Survey breakoff is a significant source of total survey error, particularly in telephone surveys.
- The Behavioral Risk Factor Surveillance System (BRFSS), a large annual telephone survey, has experienced increasing breakoff rates.
- Understanding and mitigating breakoff in BRFSS is crucial for improving data quality and survey error research.
Purpose of the Study:
- To analyze survey breakoff patterns and identify risk factors within the Behavioral Risk Factor Surveillance System (BRFSS).
- To estimate the probabilities of breakoff and assess their association with survey design elements.
- To provide evidence for improving the quality of telephone survey data.
Main Methods:
- Utilized 2018 and 2019 BRFSS data, converting survey questions and modules into a time variable.
- Applied Kaplan-Meier method to estimate cumulative breakoff probabilities.
- Employed a proportional hazard model to identify risk factors associated with survey breakoff.
Main Results:
- Cumulative breakoff probabilities reached 7.03% in 2018 and 9.56% in 2019.
- The physical activity section showed the highest conditional breakoff probability (2.85%).
- Breakoff was significantly associated with questionnaire length, recall requirements, and question placement, with higher rates in states using additional modules.
Conclusions:
- Survey breakoff is a substantial component of total survey error in telephone surveys like BRFSS.
- Findings highlight the impact of survey design on breakoff rates.
- Recommendations for BRFSS data analysis emphasize considering breakoff rates for variables with higher associated risks.
Keywords:
Behavioral Risk Factor Surveillance SystemInterview breakoffnonresponsetelephone surveytotal survey errorMore Related Videos
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