Street Gang Intervention: Review and Good Lives Extension
Autor: | Jane L. Wood, Jaimee S. Mallion |
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Jazyk: | angličtina |
Rok vydání: | 2020 |
Předmět: |
medicine.medical_specialty
Client engagement medicine.medical_treatment Applied psychology Psychological intervention Functional family therapy Good Lives Model lcsh:Social Sciences Consistency (negotiation) prevention Intervention (counseling) medicine 0501 psychology and cognitive sciences intervention Rehabilitation Public health 050901 criminology 05 social sciences public health General Social Sciences Foundation (evidence) lcsh:H 0509 other social sciences Psychology street gangs 050104 developmental & child psychology |
Zdroj: | Social Sciences, Vol 9, Iss 160, p 160 (2020) |
ISSN: | 2076-0760 |
Popis: | Tackling street gangs has recently been highlighted as a priority for public health. In this paper, the four components of a public health approach were reviewed: (1) surveillance, (2) identifying risk and protective factors, (3) developing and evaluating interventions at primary prevention, secondary prevention, and tertiary intervention stages, and (4) implementation of evidence-based programs. Findings regarding the effectiveness of prevention and intervention programs for street gang members were mixed, with unclear goals/objectives, limited theoretical foundation, and a lack of consistency in program implementation impeding effectiveness at reducing street gang involvement. This paper proposes that the Good Lives Model (GLM), a strengths-based framework for offender rehabilitation, provides an innovative approach to street gang intervention. Utilizing approach-goals, the GLM assumes that improving an individual’s internal skills and external opportunities will reduce the need to become involved in street gangs. Wrapping the GLM framework around current evidence-based interventions (e.g., Functional Family Therapy) increases client engagement and motivation to change, which is notably poor amongst those at risk of, or involved in, street gangs. |
Databáze: | OpenAIRE |
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