Child welfare worker perspectives on documentation and case recording practices in Canada: A mixed-methods study protocol
- PMID: 39774525
- PMCID: PMC11706400
- DOI: 10.1371/journal.pone.0316238
Child welfare worker perspectives on documentation and case recording practices in Canada: A mixed-methods study protocol
Abstract
In health care and child welfare, clinical records and case notes serve multiple functions. When records are aggregated and processed to create administrative data, they can be analyzed and used to inform policy development and decision-making. To be useful, such data should be complete, accurate, and recorded in a standardized way. However, sources of bias and error can impact the quality of administrative data. During the development of national child welfare data in Canada, child welfare sector partners expressed concerns about the accuracy and completeness of data about children and families. This protocol describes a study that seeks to answer two questions: 1) What individual and institutional factors influence how client data is recorded by child welfare workers in Canada? 2) What data quality issues are created through documentation and case recording practices that may impact the use of clinical case management system data for public health statistics? In this protocol, we describe an exploratory mixed methods study that involves an online survey, interviews with a purposive sample of child welfare workers, and a document review of case recording guidelines. To be eligible for the study, participants must have worked at a child welfare agency or department with clinical documentation responsibilities as a part of their job. We will use descriptive statistics to analyze the survey data and thematic analysis to analyze the qualitative data. This study will help uncover strengths, limitations, and possible sources of bias created through case recording and documentation practices in child welfare. Study results will be shared through presentations to interest holders and will inform the further development of national child welfare data in Canada.
Copyright: © 2025 Pollock et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Conflict of interest statement
The authors have declared that no competing interests exist.
References
-
- Lery B, Haight JM, Alpert L. Four principles of big data practice for effective child welfare decision making. Journal of Public Child Welfare. 2016;10(4):466–74.
-
- Fluke JD, Tonmyr L, Gray J, Rodrigues LB, Bolter F, Cash S, et al.. Child maltreatment data: A summary of progress, prospects and challenges. Child Abuse & Neglect. 2021;119:104650. - PubMed
-
- Lonne B, Herrenkohl TI, Higgins DJ, Scott D. The implications of leveraging administrative data for public health approaches to protecting children: sleepwalking into quicksand? International journal on child maltreatment: research, policy and practice. 2022;5(4):501–17.
MeSH terms
LinkOut - more resources
Full Text Sources
Medical