A meta-analysis of the effects of early developmental prevention programs in at-risk populations on non-health outcomes in adolescence
Introduction
Longitudinal research has confirmed the benefits of well-designed and carefully implemented early developmental prevention (EDP) programs (Homel, 2005). Evidence from a series of interventions demonstrates that intervening with the child and the family early in the developmental pathway can minimize future health, educational, behavioral and crime-related problems (Farrington & Welsh, 2002). This is important given evidence demonstrating deterioration in health (e.g. asthma, diabetes, obesity, intellectual disability, eating disorders, depression, attention deficit disorder, hyperactivity) and non-health outcomes (e.g. crime and educational success) over time for children, particularly from at-risk populations (Stanley, Richardson, & Prior, 2005).
This paper presents results of a meta-analytic review of the effectiveness in at-risk populations of EDPs involving children up to 5 years of age who do not have mental health or severe developmental problems. Outcomes encompass indicators of individual and family quality of life during adolescence, defined as ages 10–19 years (World Health Organisation, 1986). In the longitudinal literature we reviewed, at-risk populations were mainly socio-economically disadvantaged, operationalized as people with poor levels of education, living in areas of high unemployment, living in poverty according to local income standards, and perhaps isolated as a result of ethnicity and language.
Earlier systematic reviews and meta-analyses have focused on crime, educational, and family-related outcomes in the childhood and adolescent life phases. However, these studies are incomplete, as they do not include a full review of the salient outcomes in adolescence. Additionally, the methodology employed in earlier meta-analyses for defining quality of life outcome domains and their respective indicators in adolescence is undeveloped. To fill this gap, we carried out a meta-analysis that incorporated a structured and scientific method of identifying and analyzing important outcome domains and indicators. We focused on adolescence because of its importance both in terms of individual development and social investment. It is a phase of life when young people in developed countries are presented with many new opportunities for positive development, but also face “historically unprecedented levels of physical, behavioral, and social health risks” (Lerner & Castellino, 2002, p. 122). In recognition of these risks and opportunities, much emphasis is placed by government on reducing negative outcomes during adolescence (e.g. school drop-out, formal contact with the criminal justice system). Our results are consistent with the argument that governments should invest more in the development and implementation of good EDPs to balance the more usual strategy of relying on costly remedial interventions (Manning, 2008).
The meta-analysis was carried out as the first part of a two stage process in a study conducted by Manning (2008). The second stage by Manning adapts the Analytical Hierarchy Process (Saaty, 1980) to develop a method for making complex multi-criteria decisions with respect to policy options for early childhood interventions. Nagin (2001) argued that a method was required that would permit analysts to identify common metric outcomes across competing and often disparate programs, such as home visitation to pregnant teenage women and center-based developmental day care, with the goal of eliciting preferences and relative utility values. The second stage also provided an outline of how relative utility values, derived using the Analytical Hierarchy Process approach, may be used to identify the economic benefits of developmental prevention programs on non-health-related quality of life outcomes in adolescence, as proposed by Nagin.
Section snippets
The efficacy of early developmental prevention programs
Evaluations of the short- and long-term effects of EDPs including projects such as the Perry Preschool Project (Schweinhart, 2004), the Elmira Prenatal/Early Infancy Project(Eckenrode et al., 1998, Olds, 2002) and the Seattle Social Development Project (Hawkins, Catalano, Kosterman, Abbot, & Hill, 1999) have confirmed a number of positive effects for children and their families. Effects are particularly evident for children who come from low-income backgrounds, with short-term gains in
Aims
In this study we moved beyond previous meta-analytic reviews of EDPs by reanalyzing and extending the outcome domains identified by Nelson et al., 2003, Farrington and Welsh, 2003, Piquero et al., 2008. We created seven comprehensive domains (cognitive development, educational/academic success, social–emotional development, deviance, social participation, criminal justice outcomes, and family well-being) that reflect the importance of both crime and non-crime adolescent outcomes for quality of
Method
In reviewing the effectiveness of EDPs on at-risk populations with respect to non-health-related outcomes during adolescence, we employed a meta-analytic technique to synthesize research findings that incorporated similar outcome variables. We aimed to identify multiple dependent variables for the adolescent life phase and group these variables (based on an analysis of psychometric properties) into meaningful outcome domains, including their relevant indicators, and highlight the potential
Results
Seventeen studies based on the 11 independent intervention projects in Table 1 met our selection criteria. Table 3 provides information on program characteristics. EDP programs that contained a structured preschool program (SPP) comprised 64% of the 17 studies. More than 45% of studies incorporated a home visitation (HV) component and a family support (FSS) component. More than a third (36%) included a center-based childcare/developmental day care component, while only 9% incorporated parent
Discussion
This meta-analysis demonstrates that early developmental prevention programs (EDPs) have positive effects on individual and family well-being into adolescence. The overall size of the effects (d. = 0.313, P < 0.0001) is in the small to medium range according to Cohen, but since this mean result is equivalent to a 62% higher mean for an intervention group than for a control group, the average or expected impact can be regarded as substantial. This overall effect is derived from a broad range of
Conclusion
In this paper we have attempted to inform the choices faced by decision makers interested in moving government policies in the direction of primary, long-term prevention by presenting a rigorous analysis of the best available evidence on the effects of early developmental programs on adolescent outcomes. We have gone beyond previous meta-analyses in that we have developed a more comprehensive set of adolescent outcomes, we have focused on measures that are psychometrically valid, and we have
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