Predicting Program Completion among Families Enrolled in a Child Neglect Preventive Intervention

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Bibliographic Details
Title: Predicting Program Completion among Families Enrolled in a Child Neglect Preventive Intervention
Language: English
Authors: Girvin, Heather, DePanfilis, Diane, Daining, Clara
Source: Research on Social Work Practice. 2007 17(6):674-685.
Availability: SAGE Publications. 2455 Teller Road, Thousand Oaks, CA 91320. Tel: 800-818-7243; Tel: 805-499-9774; Fax: 800-583-2665; e-mail: journals@sagepub.com; Web site: http://sagepub.com
Peer Reviewed: Y
Page Count: 12
Publication Date: 2007
Document Type: Journal Articles
Reports - Research
Descriptors: Child Neglect, Caregivers, Predictor Variables, Depression (Psychology), Prevention, Intervention, Rural Areas, Poverty, At Risk Persons, Program Effectiveness, Dropouts, Parent Education, Symptoms (Individual Disorders), Outcomes of Education, Counseling Techniques, Family Structure, Caseworkers, Drug Abuse, Stress Variables, Individual Characteristics
Geographic Terms: Maryland
DOI: 10.1177/1049731507300285
ISSN: 1049-7315
Abstract: Objective: An exploratory analysis of self-report data gathered by the Family Connections program is used to build a predictive model of program completion. Method: The sample includes 136 families in a poor, urban neighborhood who meet risk criteria for child neglect. Families are randomly assigned to receive 3- or 9-month interventions. Bivariate analyses compare families who did and did not complete services. Logistic regression analysis identifies service-completion predictors for 136 families for whom pre- and post-data are available. Results: More caregivers in the 3-month group complete services. Completers have more children and report a more positive alliance with their workers. Depressive symptoms, worker alliance, and treatment-group status predict service completion in the final model. Conclusions: Findings and implications for practice are discussed. (Contains 2 tables.)
Abstractor: As Provided
Number of References: 48
Entry Date: 2008
Accession Number: EJ803433
Database: ERIC
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