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Background: Traditional clinical dental examinations
are resource intensive, creating a need for efficient
screening tools, especially in large populations. This
study retrospectively evaluates the reliability of a self
assessment questionnaire aiming to identify individuals
with high dental morbidity and assess the urgency of
dental care.
Methods: As part of a limited time project, a
questionnaire focusing on reported symptoms and
medical history was administered to 121 female
soldiers aged 18-21 via mobile devices. Based on their
responses, participants were categorized into “low” or
“high” severity risk groups. All individuals identified as
high risk were invited for clinical dental examinations,
along with low risk participants who requested a dental
examination. In this study, we retrospectively analysed
the data collected during the project by comparing the
severity levels predicted by the questionnaire with the
findings from the clinical assessments.
Results: We found a significant correlation between
predicted and actual severity levels according to the
Chi-Square Pearson test. While clinically 78.5% of the
patients had a low severity dental condition, 73% of
actual high severity cases were correctly predicted,
enhancing the efficiency of prioritizing high risk
patients. Also, examining patients with predicted high
severity levels is shown to increase the chances of
treating a patient with high severity conditions. Analysis
of individual questions revealed varying effectiveness,
with some questions showing higher predictive value
for high severity conditions.
Conclusions: The questionnaire shows promise for
initial triage in large-scale screenings, and it can
effectively predict dental health severity, particularly
in identifying high risk cases. Hence this tool can
help improve treatment effectiveness and resource
allocation in dental care. Combining self assessments