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Research using population-based administration data integrated with longitudinal data in child protection settings: A
Fadzai Chikwava1, Reinie Cordier1,2, Anna Ferrante3
1School of Allied Health, Curtin University, Perth, Western Australia, Australia.
Plos One
|March 24, 2021
Summary
Linked population administrative data is increasingly used in child protection research. This review found studies often lack detailed data linkage reporting and advanced statistical methods, hindering robust child protection research.
Area of Science:
- Child Protection Research
- Public Health Data Linkage
- Longitudinal Data Analysis
Background:
- Growing use of linked population administrative data in child protection research over the past decade.
- This study is the first systematic review focusing on research design and statistical methods in child protection research using integrated population-based administrative and longitudinal data.
Purpose of the Study:
- To systematically review research designs and statistical methods employed in child protection studies utilizing linked population-based administrative and longitudinal data.
- To identify strengths and weaknesses in the methodologies of existing studies in this field.
Main Methods:
- Systematic review conducted following the Preferred Reporting Items for Systematic Review and Meta-Analyses (PRISMA) statement.
- Comprehensive search of electronic databases (Medline, PsycINFO, Embase, ERIC, CINAHL) in November 2019.
- Protocol registered and published with Open Science Framework (Registration DOI: 10.17605/OSF.IO/96PX8).
Main Results:
- Identified 30 studies covering child maltreatment, mental health, substance abuse, and education.
- Most studies demonstrated strong overall quality but reported poorly on data linkage methods.
- Statistical analyses often neglected mediating factors and lacked multi-level analysis utilization.
Conclusions:
- Recommends standardized reporting of data linkage processes for improved research quality.
- Emphasizes the need for greater coordination between data providers and researchers.
- Highlights the potential for more robust child protection research through methodological improvements.
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