Identification of Determinants of Resilience in Children Using Administrative Health, Social, Justice and Education Data
Introduction Resilience is a key factor in healthy development of children who have experienced adversity in early life. Current methods of assessment involve using questionnaires - few of which are appropriate for young children, most are time consuming and rely on parent recall, thereby introducin...
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| Format: | Article |
| Language: | English |
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Swansea University
2020-12-01
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| Series: | International Journal of Population Data Science |
| Online Access: | https://ijpds.org/article/view/1559 |
| _version_ | 1797427501679509504 |
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| author | Anita Durksen Marni Brownell Nathan Nickel |
| author_facet | Anita Durksen Marni Brownell Nathan Nickel |
| author_sort | Anita Durksen |
| collection | DOAJ |
| description | Introduction
Resilience is a key factor in healthy development of children who have experienced adversity in early life. Current methods of assessment involve using questionnaires - few of which are appropriate for young children, most are time consuming and rely on parent recall, thereby introducing bias. Additionally, widespread implementation of these would be costly, making population-level assessment of resilience impractical. The current study will leverage multi-sector, linkable, whole-population data from health, education, justice and social services to explore alternative ways to assess resilience in children.
Objectives and Approach
The purpose of this study is to identify factors in administrative data that emerge as significant determinants of resilience, demonstrated by children who experience adversity in early life but develop normally. Children born in Manitoba between 2000-2012 will be included. Adversity will be identified as families receiving income assistance, and/or the presence of adverse childhood experiences (ACEs) in linked databases such as Justice (incarcerated parent) and Health (parent with mental or substance use disorder). Development will be measured using the Early Development Instrument (EDI). EDI outcomes will be assessed according to severity and frequency of adversity. Pre-identified covariates that map onto sub-constructs of resilience will be assessed using multivariable linear regression to determine whether they are associated with higher EDI scores in the context of adversity.
Results
The identification of administrative data variables associated with resilience in children will serve as a valuable tool for population-level assessment of resilience among children who experience adversity at young ages.
Conclusion / Implications
While complete eradication of childhood adversity is unlikely, the continued development of programs and policies that build resilience in children is crucial. The results of this study will provide a means for population-level evaluation of such programs and policies, ultimately improving evidence for policy and decision-makers in the area of child development. |
| first_indexed | 2024-03-09T08:44:59Z |
| format | Article |
| id | doaj.art-84eb292d92f1400baedb66d05678277e |
| institution | Directory Open Access Journal |
| issn | 2399-4908 |
| language | English |
| last_indexed | 2024-03-09T08:44:59Z |
| publishDate | 2020-12-01 |
| publisher | Swansea University |
| record_format | Article |
| series | International Journal of Population Data Science |
| spelling | doaj.art-84eb292d92f1400baedb66d05678277e2023-12-02T15:39:50ZengSwansea UniversityInternational Journal of Population Data Science2399-49082020-12-015510.23889/ijpds.v5i5.1559Identification of Determinants of Resilience in Children Using Administrative Health, Social, Justice and Education DataAnita Durksen0Marni Brownell1Nathan Nickel2University of ManitobaUniversity of Manitoba University of ManitobaIntroduction Resilience is a key factor in healthy development of children who have experienced adversity in early life. Current methods of assessment involve using questionnaires - few of which are appropriate for young children, most are time consuming and rely on parent recall, thereby introducing bias. Additionally, widespread implementation of these would be costly, making population-level assessment of resilience impractical. The current study will leverage multi-sector, linkable, whole-population data from health, education, justice and social services to explore alternative ways to assess resilience in children. Objectives and Approach The purpose of this study is to identify factors in administrative data that emerge as significant determinants of resilience, demonstrated by children who experience adversity in early life but develop normally. Children born in Manitoba between 2000-2012 will be included. Adversity will be identified as families receiving income assistance, and/or the presence of adverse childhood experiences (ACEs) in linked databases such as Justice (incarcerated parent) and Health (parent with mental or substance use disorder). Development will be measured using the Early Development Instrument (EDI). EDI outcomes will be assessed according to severity and frequency of adversity. Pre-identified covariates that map onto sub-constructs of resilience will be assessed using multivariable linear regression to determine whether they are associated with higher EDI scores in the context of adversity. Results The identification of administrative data variables associated with resilience in children will serve as a valuable tool for population-level assessment of resilience among children who experience adversity at young ages. Conclusion / Implications While complete eradication of childhood adversity is unlikely, the continued development of programs and policies that build resilience in children is crucial. The results of this study will provide a means for population-level evaluation of such programs and policies, ultimately improving evidence for policy and decision-makers in the area of child development.https://ijpds.org/article/view/1559 |
| spellingShingle | Anita Durksen Marni Brownell Nathan Nickel Identification of Determinants of Resilience in Children Using Administrative Health, Social, Justice and Education Data International Journal of Population Data Science |
| title | Identification of Determinants of Resilience in Children Using Administrative Health, Social, Justice and Education Data |
| title_full | Identification of Determinants of Resilience in Children Using Administrative Health, Social, Justice and Education Data |
| title_fullStr | Identification of Determinants of Resilience in Children Using Administrative Health, Social, Justice and Education Data |
| title_full_unstemmed | Identification of Determinants of Resilience in Children Using Administrative Health, Social, Justice and Education Data |
| title_short | Identification of Determinants of Resilience in Children Using Administrative Health, Social, Justice and Education Data |
| title_sort | identification of determinants of resilience in children using administrative health social justice and education data |
| url | https://ijpds.org/article/view/1559 |
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