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Recruitment and Consent in an observational study.
M Goodwin1, W Whittaker2, T Walsh1
1University of Manchester, School of Dentistry, UK.
Community Dental Health
|October 7, 2020
Summary
Consent rates differed between fluoridated and non-fluoridated groups in a longitudinal study. While deprivation did not influence consent, the lower consent rate in the non-fluoridated group requires consideration in final analysis.
Area of Science:
- Public Health
- Epidemiology
- Oral Health Research
Background:
- Longitudinal studies are crucial for understanding population health trends over time.
- Community water fluoridation is a key public health intervention for preventing dental caries.
- Assessing consent bias is vital for the validity of population-based research.
Purpose of the Study:
- To investigate consent rates in a longitudinal study comparing fluoridated and non-fluoridated areas.
- To identify potential biases, such as those related to socioeconomic status, in participant consent.
- To evaluate the impact of water fluoridation on children's oral health and consent patterns.
Main Methods:
- Analysis of data from 3138 individuals recruited for a five-year study on community water fluoridation.
- Comparison of consent rates between children from a fluoridated area (Group 1) and a non-fluoridated area (Group 2).
- Assessment of the relationship between consent rates, area deprivation (Index of Multiple Deprivation - IMD), and group allocation.
Main Results:
- A statistically significant lower consent rate (12.91 percentage points) was observed in the non-fluoridated group (Group 2) compared to the fluoridated group (Group 1).
- The non-fluoridated group (Group 2) exhibited higher levels of deprivation (IMD) prior to consent.
- No association was found between participant consent and the Index of Multiple Deprivation within either group.
Conclusions:
- The study found a notable difference in consent rates between the fluoridated and non-fluoridated groups.
- Socioeconomic status, as measured by IMD, did not appear to be a confounding factor for consent.
- Researchers must account for the observed disparities in consent rates when analyzing the longitudinal data to ensure accurate interpretation of findings on oral health outcomes.
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