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Mason SM, Lind A, Sherwood NE, Sugrue EP. Building School-Based Capacity to Support Parenting: Challenges and Lessons Learned. SCHOOL MENTAL HEALTH 2023; 15:886-899. [PMID: 38912427 PMCID: PMC11192462 DOI: 10.1007/s12310-023-09593-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 05/24/2023] [Indexed: 06/25/2024]
Abstract
Both schools and caregivers play an important role in supporting children's mental health, but there are few mechanisms for caregivers and school-based mental health providers to work collaboratively to address children's needs. Closures of schools during the first wave of the COVID-19 pandemic left gaps in mental health support services to children and increased the burden on caregivers to ensure their children's well-being. In this study, investigators explored the feasibility and acceptability of a motivational interviewing-based program in which school-based mental health providers were trained to connect directly to caregivers to assist them in supporting key aspects of their children's well-being, including sleep, coping, and academic behavior. Results indicated a high degree of satisfaction with the program and a perception that it was helpful to caregivers and children. However, major challenges in recruitment of providers, as well as qualitative interviews with those providers who participated, indicated that the feasibility of implementing such a program is limited without significant additional implementation infrastructure. Findings suggest that structured support of caregivers, accessed through their children's schools, has high potential for improving child outcomes and family well-being. Future research should explore what implementation infrastructure is needed for schools to effectively offer these types of supports.
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Affiliation(s)
- Susan M. Mason
- Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, 1300 S. 2nd Street, Suite 300, Minneapolis, MN 55415, USA
| | - Allison Lind
- Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, 1300 S. 2nd Street, Suite 300, Minneapolis, MN 55415, USA
| | - Nancy E. Sherwood
- Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, 1300 S. 2nd Street, Suite 300, Minneapolis, MN 55415, USA
| | - Erin P. Sugrue
- Department of Social Work, Augsburg University, Minneapolis, MN, USA
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Developmental cascade effects of a parenting-focused program for divorced families on competence in emerging adulthood. Dev Psychopathol 2020; 33:201-215. [PMID: 32308168 DOI: 10.1017/s095457941900169x] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
Abstract
This 15-year longitudinal follow-up of a randomized controlled trial of a parenting-focused preventive intervention for divorced families examined cascade models of program effects on offsprings' competence. It was hypothesized that intervention-induced improvements in parenting would lead to better academic, work, peer, and romantic competence in emerging adulthood through effects on behavior problems and competencies during adolescence. Families (N = 240) participated in the 11-session program or literature control condition when children were ages 9-12. Data were drawn from assessments at pretest, posttest, and follow-ups at 3 and 6 months and 6 and 15 years. Results showed that initial intervention effects of parenting on externalizing problems in adolescence cascaded to work outcomes in adulthood. Parenting effects also directly impacted work success. For work outcomes and peer competence, intervention effects were moderated by initial risk level; the program had greater effects on youths with higher risk at program entry. In addition, intervention effects on parenting led to fewer externalizing problems that in turn cascaded to better academic outcomes, which showed continuity into emerging adulthood. Results highlight the potential for intervention effects of the New Beginnings Program to cascade over time to affect adult competence in multiple domains, particularly for high-risk youths.
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Evaluating the efficacy of the Family Check-Up Online: A school-based, eHealth model for the prevention of problem behavior during the middle school years. Dev Psychopathol 2020; 31:1873-1886. [PMID: 31407644 PMCID: PMC10077819 DOI: 10.1017/s0954579419000907] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
This study evaluated the efficacy of a family-centered preventive intervention, the Family Check-Up (FCU), delivered as an online, eHealth model to middle school families. To increase accessibility of family-centered prevention in schools, we adapted the evidence-based FCU to an online format, with the goal of providing a model of service delivery that is feasible, given limited staffing and resources in many schools. Building on prior research, we randomly assigned participants to waitlist control (n = 105), FCU Online as a web-based intervention (n = 109), and FCU Online with coaching support (n = 108). We tested the effects of the intervention on multiple outcomes, including parental self-efficacy, child self-regulation, and child behavior, in this registered clinical trial (NCT03060291). Families engaged in the intervention at a high rate (72% completed the FCU assessment) and completed 3-month posttest assessments with good retention (94% retained). Random assignment to the FCU Online with coaching support was associated with reduced emotional problems for children (p = .003, d = -0.32) and improved parental confidence and self-efficacy (p = .018, d = 0.25) when compared with waitlist controls. Risk moderated effects: at-risk youth showed stronger effects than did those with minimal risk. The results have implications for online delivery of family-centered interventions in schools.
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Moore KJ, Garbacz SA, Gau JM, Dishion TJ, Brown KL, Stormshak EA, Seeley JR. Proactive Parent Engagement in Public Schools: Using a Brief Strengths and Needs Assessment in a Multiple-Gating Risk Management Strategy. JOURNAL OF POSITIVE BEHAVIOR INTERVENTIONS 2016; 18:230-240. [PMID: 28082829 PMCID: PMC5224918 DOI: 10.1177/1098300716632590] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/31/2023]
Abstract
This study examined the viability of a brief, parent-reported strengths and needs assessment as the first step in a multiple-gating approach to proactive positive behavior support for families. The Positive Family Support-Strengths and Needs Assessment (PFS-SaNA) was designed to collaboratively engage parents early in the school year in a home-school coordinated Positive Family Support (PFS) system. In this study, we evaluated the reliability and validity of the PFS-SaNA in the context of public middle schools. Findings suggest that the 14-item, unidimensional PFS-SaNA shows convergent validity with teacher ratings of risk. It can be easily and cost-effectively used by school personnel when parents register their children for school at the beginning of each school year.
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Wang D, Ogihara M, Gallo C, Villamar JA, Smith JD, Vermeer W, Cruden G, Benbow N, Brown CH. Automatic classification of communication logs into implementation stages via text analysis. Implement Sci 2016; 11:119. [PMID: 27600612 PMCID: PMC5011842 DOI: 10.1186/s13012-016-0483-6] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/18/2015] [Accepted: 07/28/2016] [Indexed: 01/05/2023] Open
Abstract
BACKGROUND To improve the quality, quantity, and speed of implementation, careful monitoring of the implementation process is required. However, some health organizations have such limited capacity to collect, organize, and synthesize information relevant to its decision to implement an evidence-based program, the preparation steps necessary for successful program adoption, the fidelity of program delivery, and the sustainment of this program over time. When a large health system implements an evidence-based program across multiple sites, a trained intermediary or broker may provide such monitoring and feedback, but this task is labor intensive and not easily scaled up for large numbers of sites. We present a novel approach to producing an automated system of monitoring implementation stage entrances and exits based on a computational analysis of communication log notes generated by implementation brokers. Potentially discriminating keywords are identified using the definitions of the stages and experts' coding of a portion of the log notes. A machine learning algorithm produces a decision rule to classify remaining, unclassified log notes. RESULTS We applied this procedure to log notes in the implementation trial of multidimensional treatment foster care in the California 40-county implementation trial (CAL-40) project, using the stages of implementation completion (SIC) measure. We found that a semi-supervised non-negative matrix factorization method accurately identified most stage transitions. Another computational model was built for determining the start and the end of each stage. CONCLUSIONS This automated system demonstrated feasibility in this proof of concept challenge. We provide suggestions on how such a system can be used to improve the speed, quality, quantity, and sustainment of implementation. The innovative methods presented here are not intended to replace the expertise and judgement of an expert rater already in place. Rather, these can be used when human monitoring and feedback is too expensive to use or maintain. These methods rely on digitized text that already exists or can be collected with minimal to no intrusiveness and can signal when additional attention or remediation is required during implementation. Thus, resources can be allocated according to need rather than universally applied, or worse, not applied at all due to their cost.
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Affiliation(s)
- Dingding Wang
- Department of Computer Science, Florida Atlantic University, 777 Glades Road EE 403, Boca Raton, FL, USA
| | - Mitsunori Ogihara
- Department of Computer Science and Center for Computational Science, University of Miami, 1320 S. Dixie Highway, Miami, FL, USA
| | - Carlos Gallo
- Center for Prevention Implementation Methodology, Department of Psychiatry and Behavioral Sciences, Feinberg School of Medicine Northwestern University, 750 N. Lake Shore Dr., Chicago, IL, USA
| | - Juan A Villamar
- Center for Prevention Implementation Methodology, Department of Psychiatry and Behavioral Sciences, Feinberg School of Medicine Northwestern University, 750 N. Lake Shore Dr., Chicago, IL, USA
| | - Justin D Smith
- Center for Prevention Implementation Methodology, Department of Psychiatry and Behavioral Sciences, Feinberg School of Medicine Northwestern University, 750 N. Lake Shore Dr., Chicago, IL, USA
| | - Wouter Vermeer
- Center for Prevention Implementation Methodology, Department of Psychiatry and Behavioral Sciences, Feinberg School of Medicine Northwestern University, 750 N. Lake Shore Dr., Chicago, IL, USA
| | - Gracelyn Cruden
- Department of Health Policy and Management, University of North Carolina, Chapel Hill, 135 Dauer Drive, Chapel Hill, NC, USA
| | - Nanette Benbow
- Center for Prevention Implementation Methodology, Department of Psychiatry and Behavioral Sciences, Feinberg School of Medicine Northwestern University, 750 N. Lake Shore Dr., Chicago, IL, USA
| | - C Hendricks Brown
- Center for Prevention Implementation Methodology, Department of Psychiatry and Behavioral Sciences, Feinberg School of Medicine Northwestern University, 750 N. Lake Shore Dr., Chicago, IL, USA.
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