Related Experiment Video
Updated: Apr 21, 2026

Handwriting Analysis Indicates Spontaneous Dyskinesias in Neuroleptic Naïve Adolescents at High Risk for Psychosis
Published on: November 21, 2013
Preventive healthcare surveillance can detect emerging behavioural problems that are related to later school dropouts
Ingeborg Heetman1, Hans Bosma, Gérard Kuiper
1Department of Social Medicine, CAPHRI, Faculty of Health Medicine and Life Sciences, Maastricht University, Maastricht, The Netherlands.
Aim:
School dropout is a multidimensional problem with negative consequences for socio-economic status. Most interventions to reduce school dropout have been implemented in education rather than in preventive healthcare. Our goal was to determine whether measurements used in preventive healthcare surveillance enabled us to detect internalising and externalising problems in relation to later school dropouts.
Methods:
Using a case-control design, we compared Dutch dropouts (n = 301) and nondropouts (n = 270), who were aged 18-23 in 2008, by examining their youth healthcare, socio-medical records from birth onwards. Logistic regression models were estimated.
Results:
Young adults with externalising problems in their earlier life had 56% higher odds of dropping out compared to those without externalising problems (OR = 1.56; 95% CI: 1.02-2.37), when data were adjusted for sex, socio-economic and ethnic background and family composition. Internalising problems did not differ between the cases and controls.
Conclusion:
Our findings suggest that early life symptoms of emerging behavioural problems, as detected by preventive healthcare surveillance, are related to later school dropout. Preventive healthcare professionals can play a role in helping to prevent school dropouts, and this study underlines that school dropout is an important preventive healthcare issue.
More Related Videos
Related Concept Videos
Preventive Healthcare Services
Conduct Disorder
Pharmacovigilance
This process, termed pharmacovigilance, aims to detect, evaluate, and minimize harmful effects related to medication use. The data collection for pharmacovigilance depends on spontaneous reporting systems, where healthcare professionals or patients voluntarily report suspected ADRs.
In some cases, there...
Healthcare Associated Infections II: Preventive Measures
The best practices for preventing healthcare-associated infections include hand hygiene, patient risk...
Naturalistic Observations
Principles of Disease Surveillance

