Geert Driessen (2019) Are the early childhood education claims valid?
School Drop-Out SIODO Mixed Methods study
1. CAPHRI School for Public Health and Primary Care
Stay in or drop out (SIODO)
Symptom dimensions in youth on the pathway to dropout
Marie-José Theunissen a, Hans Bosmaa, Petra Verdonkb , Frans Ferona
a Department of Social Medicine, School Caphri, FHML, Maastricht University, Maastricht, The Netherlands
b Department Medical Humanities, EMGO Institute for Health and Care Research, VU University Medical Center, Amsterdam, The Netherlands
Background Methods
• School dropout has a huge societal impact and is a cause of concern The SIODO-study is a sequential mixed-methods study.
to most governments across Europe.
1. A retrospective unmatched case-control study
• It contributes to many adverse social, economic, and health 2. Individual interviews with pupils
conditions. 3. Focus groups with parents, teachers and Public Health professionals
• Still it is not considered a public health issue (Freudenberg & Ruglis,
2007). Data are collected by the Compulsory Education Department, the Public Health
Service and an additional questionnaire.
• School dropout represents a complex and gradual process that may
differ for boys and girls from different socioeconomic groups. Population:
Adolescents, born between 08-01-1987 and 08-01-1992 and living in
Eindhoven, who did not attain an initial qualification at 08-01-2010.
Case group: dropped out during school year 2010-2011 without achieving an
initial qualification (Houtkoop, van der Velden, & Brandsma, 2004).
Control group: still attending school or graduated with an initial qualification
during or at the end of the school year 2010-2011.
Analysis
Advanced cluster and factor analysis will be used to indentify risk profiles on the
pathway to dropout. A non-responders analysis will be conducted.
Thematic content analysis will be used to analyze the qualitative data.
Research model
Detection, monitoring and attending (clusters of) symptoms in early life,
before they cluster to a diagnosis, might reduce the dropout rates and
save costs (Freudenberg, 2007).
Aim
• To provide further insight into the life course pathways towards school
dropout and the socioeconomic and gender differences therein.
• To contribute to a better youth health care for children at risk for school
dropout.
• To develop a tool for the early identification of risk profiles for school The research model is based on the International Classification of Functioning,
dropout in young adulthood (multi-perspective approach). disability and health for Children and Youth ( ICF-CY).
References
Freudenberg N & Ruglis J. Reframing school dropout as a public health issue. Preventing Chronic Disease 2007;4(4):1-11.
Houtkoop WA, van der Velden RKW & Brandsma TF. (2004). De waarde van de startkwalificatie. Amsterdam: Max Goote Kenniscentrum voor Beroepsonderwijs en
Volwasseneneducatie.
Kahn JS. An introduction to masculinities. Wiley-Blackwell, West Sussex-UK, 2009
Mackenbach, JP. Genetics and health inequalities: hypotheses and controversies. Journal of Epidemiology community health 2005;59:268-273.
Ministry of Education, Culture and Science. (2008a). Dossier aanval op schooluitval. Retrieved 29 May, 2008, from
http://www.minocw.nl/aanvalopschooluitval/index.html
Correspondence to: Department of Health, Medicine and Life Sciences Maastricht University
Marie-José Theunissen, dept of Social medicine
T +3143 388 0000
mj.theunissen@maastrichtuniversity.nl F +3143 388 0000 P.O. Box 616
www.maastrichtuniversity.nl 6200 MD Maastricht, The Netherlands