Case management for child protection services:A multi-level evaluation study

This article presents an evaluation study of a case management method for child protection services, the Delta Method for Family Supervision, in terms of supervision order duration and occurrence and duration of out-of-home placements. Additionally, case and case manager characteristics were examined. Data was collected about 224 cases, 58 case managers and 30 team managers of all 15 offices of the Child and Youth Protection Services in the Netherlands. In all cases the Delta Method was applied. Data were obtained by interviews, questionnaires and case files. Multi-level analysis was performed to study the influence of independent variables on supervision order duration, and the occurrence and duration of out-of-home placements. Case characteristics related to 87% of the differences in the duration of supervision order, case manager characteristics to 13% of the differences. Some case manager characteristics about applying the Delta Method were significantly related to shorter duration of the supervision order and the occurrence and duration of out-of-home placement. Case characteristics also showed strong relations. Together with the more general aspects of case management supported by this study, such as a one family and one worker approach, this contributes to a more effective practice of case management for child protection services

Measuring program fidelity in case management for high risk families. Validation of the Functional Family Parole-Global Rating Measure

Abstract Summary: Program fidelity instruments are a key ingredient for clinical supervision and implementation as well as effectiveness studies. This study examines the factor structure of the Functional Family Parole services Global Rating Measure (FFP-GRM); the program fidelity instrument of Functional Family Parole services for case management in youth parole, child protection and child welfare services. Between October 2012 and February 2015, program fidelity was measured with the FFP-GRM by Functional Family Parole supervisors. Confirmatory factor analysis was performed on 380 cases and internal consistency reliability coefficients were calculated. Findings: Confirmatory factor analyses showed that the 33-item and four-factor model of the FFP-GRM achieved a good fit to the data. Internal validity testing results showed that subscale Cronbach’s a ranged between .82 and .90. Applications: Findings affirm a good fit to the data and a good-to-excellent internal consistency of the FFP-GRM, which is considered sufficient to justify its use. The results are discussed with regard to the use of fidelity instruments for both clinical and research purposes

Effectiveness of a web-based health risk assessment with individually-tailored feedback on lifestyle behaviour: study protocol

<p>Abstract</p> <p>Background</p> <p>Physical inactivity, unhealthy dietary habits, smoking and high alcohol consumption are recognized risk factors for cardiovascular disease and cancer. Web-based health risk assessments with tailored feedback seem promising in promoting a healthy lifestyle. This study evaluates the effectiveness of a web-based health risk assessment with individually-tailored feedback on lifestyle behaviour, conducted in a worksite setting.</p> <p>Methods/Design</p> <p>The web-based health risk assessment starts with a questionnaire covering socio-demographic variables, family and personal medical history, lifestyle behaviour and psychological variables. Prognostic models are used to estimate individual cardiovascular risks. In case of high risk further biometric and laboratory evaluation is advised. All participants receive individually-tailored feedback on their responses to the health risk assessment questionnaire. The study uses a quasi-experimental design with a waiting list control group. Data are collected at baseline (T0) and after six months (T1). Within each company, clusters of employees are allocated to either the intervention or the control group. Primary outcome is lifestyle behaviour, expressed as the sum of five indicators namely physical activity, nutrition, smoking behaviour, alcohol consumption, and symptoms of burnout. Multilevel regression analysis will be used to answer the main research question and to correct for clustering effects. Baseline differences between the intervention and control group in the distribution of characteristics with a potential effect on lifestyle change will be taken into account in further analyses using propensity scores.</p> <p>Discussion</p> <p>This study will increase insight into the effectiveness of health risk assessments with tailored feedback and into conditions that may modify the effectiveness. This information can be used to design effective interventions for lifestyle behaviour change among employees.</p> <p>Trial registration</p> <p>Dutch Trial Register <a href="http://www.trialregister.nl/trialreg/admin/rctview.asp?TC=NTR8148">NTR8148</a>.</p