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Building research capacity in child welfare in Canada

Overview of attention for article published in Child and Adolescent Psychiatry and Mental Health, June 2016
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Title
Building research capacity in child welfare in Canada
Published in
Child and Adolescent Psychiatry and Mental Health, June 2016
DOI 10.1186/s13034-016-0103-x
Pubmed ID
Authors

Nico Trocmé, Catherine Roy, Tonino Esposito

Abstract

There is a surprising dearth of information about the services provided to the children and families being reported to Canadian child welfare authorities, little research on the efficacy of child welfare services in Canada, and limited evidence of new policies and programs designed to address these changes. This paper reports on a research capacity building initiative designed to address some of these issues. By fostering mutual co-operation and sharing of intellectual leadership, the Building Research Capacity initiative allows partners to innovate, build institutional capacity and mobilize research knowledge in accessible ways. The model rests on the assumption that by placing the university's research infrastructure at the service of community agencies, robust research partnerships are developed, access to agency-based research is significantly enhanced and community agencies make better use of research findings which all equate in greater research utilization and research capacity building.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 43 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 43 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 6 14%
Student > Doctoral Student 6 14%
Lecturer 4 9%
Student > Master 4 9%
Researcher 3 7%
Other 8 19%
Unknown 12 28%
Readers by discipline Count As %
Social Sciences 12 28%
Psychology 5 12%
Medicine and Dentistry 3 7%
Nursing and Health Professions 3 7%
Business, Management and Accounting 2 5%
Other 3 7%
Unknown 15 35%