The early identification of risk factors on the pathway to school dropout in the SIODO study: a sequential mixed-methods study
<p>Abstract</p> <p>Background</p> <p>School dropout is a persisting problem with major socioeconomic consequences. Although poor health probably contributes to pathways leading to school dropout and health is likely negatively affected by dropout, these issues are relat...
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| Format: | Article |
| Language: | English |
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BMC
2012-11-01
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| Series: | BMC Public Health |
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| Online Access: | http://www.biomedcentral.com/1471-2458/12/1033 |
| _version_ | 1828273939864879104 |
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| author | Theunissen Marie-José Griensven van Ilse Verdonk Petra Feron Frans Bosma Hans |
| author_facet | Theunissen Marie-José Griensven van Ilse Verdonk Petra Feron Frans Bosma Hans |
| author_sort | Theunissen Marie-José |
| collection | DOAJ |
| description | <p>Abstract</p> <p>Background</p> <p>School dropout is a persisting problem with major socioeconomic consequences. Although poor health probably contributes to pathways leading to school dropout and health is likely negatively affected by dropout, these issues are relatively absent on the public health agenda. This emphasises the importance of integrative research aimed at identifying children at risk for school dropout at an early stage, discovering how socioeconomic status and gender affect health-related pathways that lead to dropout and developing a prevention tool that can be used in public health services for youth.</p> <p>Methods/design</p> <p>The SIODO study is a sequential mixed-methods study. A case–control study will be conducted among 18 to 24 year olds in the south of the Netherlands (n = 580). Data are currently being collected from compulsory education departments at municipalities (dropout data), regional public health services (developmental data from birth onwards) and an additional questionnaire has been sent to participants (e.g. personality data). Advanced analyses, including cluster and factor analyses, will be used to identify children at risk at an early stage. Using the quantitative data, we have planned individual interviews with participants and focus groups with important stakeholders such as parents, teachers and public health professionals. A thematic content analysis will be used to analyse the qualitative data.</p> <p>Discussion</p> <p>The SIODO study will use a life-course perspective, the ICF-CY model to group the determinants and a mixed-methods design. In this respect, the SIODO study is innovative because it both broadens and deepens the study of health-related determinants of school dropout. It examines how these determinants contribute to socioeconomic and gender differences in health and contributes to the development of a tool that can be used in public health practice to tackle the problem of school dropout at its roots.</p> |
| first_indexed | 2024-04-13T06:28:15Z |
| format | Article |
| id | doaj.art-8062bf64f9d146938100806affe3c5da |
| institution | Directory Open Access Journal |
| issn | 1471-2458 |
| language | English |
| last_indexed | 2024-04-13T06:28:15Z |
| publishDate | 2012-11-01 |
| publisher | BMC |
| record_format | Article |
| series | BMC Public Health |
| spelling | doaj.art-8062bf64f9d146938100806affe3c5da2022-12-22T02:58:19ZengBMCBMC Public Health1471-24582012-11-01121103310.1186/1471-2458-12-1033The early identification of risk factors on the pathway to school dropout in the SIODO study: a sequential mixed-methods studyTheunissen Marie-JoséGriensven van IlseVerdonk PetraFeron FransBosma Hans<p>Abstract</p> <p>Background</p> <p>School dropout is a persisting problem with major socioeconomic consequences. Although poor health probably contributes to pathways leading to school dropout and health is likely negatively affected by dropout, these issues are relatively absent on the public health agenda. This emphasises the importance of integrative research aimed at identifying children at risk for school dropout at an early stage, discovering how socioeconomic status and gender affect health-related pathways that lead to dropout and developing a prevention tool that can be used in public health services for youth.</p> <p>Methods/design</p> <p>The SIODO study is a sequential mixed-methods study. A case–control study will be conducted among 18 to 24 year olds in the south of the Netherlands (n = 580). Data are currently being collected from compulsory education departments at municipalities (dropout data), regional public health services (developmental data from birth onwards) and an additional questionnaire has been sent to participants (e.g. personality data). Advanced analyses, including cluster and factor analyses, will be used to identify children at risk at an early stage. Using the quantitative data, we have planned individual interviews with participants and focus groups with important stakeholders such as parents, teachers and public health professionals. A thematic content analysis will be used to analyse the qualitative data.</p> <p>Discussion</p> <p>The SIODO study will use a life-course perspective, the ICF-CY model to group the determinants and a mixed-methods design. In this respect, the SIODO study is innovative because it both broadens and deepens the study of health-related determinants of school dropout. It examines how these determinants contribute to socioeconomic and gender differences in health and contributes to the development of a tool that can be used in public health practice to tackle the problem of school dropout at its roots.</p>http://www.biomedcentral.com/1471-2458/12/1033School dropoutRisk profilesPathwaySymptomsLife courseICF modelSocioeconomic statusGenderPublic healthSocial exclusion |
| spellingShingle | Theunissen Marie-José Griensven van Ilse Verdonk Petra Feron Frans Bosma Hans The early identification of risk factors on the pathway to school dropout in the SIODO study: a sequential mixed-methods study BMC Public Health School dropout Risk profiles Pathway Symptoms Life course ICF model Socioeconomic status Gender Public health Social exclusion |
| title | The early identification of risk factors on the pathway to school dropout in the SIODO study: a sequential mixed-methods study |
| title_full | The early identification of risk factors on the pathway to school dropout in the SIODO study: a sequential mixed-methods study |
| title_fullStr | The early identification of risk factors on the pathway to school dropout in the SIODO study: a sequential mixed-methods study |
| title_full_unstemmed | The early identification of risk factors on the pathway to school dropout in the SIODO study: a sequential mixed-methods study |
| title_short | The early identification of risk factors on the pathway to school dropout in the SIODO study: a sequential mixed-methods study |
| title_sort | early identification of risk factors on the pathway to school dropout in the siodo study a sequential mixed methods study |
| topic | School dropout Risk profiles Pathway Symptoms Life course ICF model Socioeconomic status Gender Public health Social exclusion |
| url | http://www.biomedcentral.com/1471-2458/12/1033 |
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