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Validity of self-reported tooth counts during a telephone screening interview
G H Gilbert1, R P Duncan, A M Kulley
1Claude Pepper Center for Research on Oral Health in Aging, College of Dentistry, University of Florida, Gainesville 32610-0416, USA. gilbert@nervm.nerdc.ufl.edu
Journal of Public Health Dentistry
|July 1, 1997
Summary
Telephone screening effectively gathers tooth count data for research samples. However, individual tooth count validity varies, depending on specificity and participant factors.
Area of Science:
- Health Services Research
- Dental Public Health
- Epidemiology
Background:
- Telephone screening is a common, efficient method for identifying specific populations in health services research.
- Accurate data collection is crucial for understanding population oral health status.
Purpose of the Study:
- To assess the effectiveness of telephone screening in collecting tooth count data.
- To determine the validity of self-reported tooth counts from telephone surveys compared to clinical examinations.
Main Methods:
- A large-scale telephone screening survey was conducted in north Florida to identify dentate individuals aged 45 and older.
- A subset of participants underwent a baseline in-person interview and clinical examination for comparison.
- Tooth counts from the telephone interview were compared with those from the clinical examination.
Main Results:
- The telephone method demonstrated effectiveness in gathering tooth count information, with response rates varying by data specificity.
- High cooperation was observed for nominal and ordinal tooth count data, while interval-level reporting was lower.
- Self-reported tooth counts were valid for the overall sample but showed variability at the individual subject level, influenced by clinical and sociodemographic factors.
Conclusions:
- Self-reported tooth counts from telephone interviews are sufficiently valid for aggregate analysis in most research scenarios.
- Individual-level tooth count validity may be compromised, necessitating consideration of data specificity and subject characteristics.