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. 2020 Apr;18(2):368-381.
doi: 10.1007/s11469-019-00191-1. Epub 2020 Jan 2.

Assessing Community Readiness for Preventing Youth Substance Use in Colombia: A Latent Profile Analysis

Arthur de Oliveira Corrêa  1 , Eric C Brown  1 , Tae Kyoung Lee  1 , Juliana Mejía-Trujillo  2 , Augusto Peréz-Gómez  2 , Nicole Eisenberg  3
Affiliations

Assessing Community Readiness for Preventing Youth Substance Use in Colombia: A Latent Profile Analysis

Arthur de Oliveira Corrêa et al. Int J Ment Health Addict. 2020 Apr.

Abstract

The growing use of evidence-based preventive interventions for youth substance use in Latin American countries has prompted governments, researchers, and practitioners to ask if communities are ready for implementing these interventions, especially in light of the elevated costs and long-term commitment necessary for successful implementation. This study explores the construct validity of a measure of community readiness for prevention, using confirmatory factor and latent profile analyses of 7 measures theorized to be indicators of community readiness for implementing preventive interventions for youth substance use. Data were obtained from 211 community leaders in 16 communities in Colombia. Results indicate that community readiness can be represented as a unidimensional construct with multiple profiles of varying levels of readiness. Findings suggest community readiness can be measured adequately as a latent construct and that its indicators can be used diagnostically to assess areas where readiness could be improved for better implementation of evidence-based preventive interventions.

Keywords: Community Leaders; Community Readiness; Implementation Science; Latent Profile Analysis; Prevention; Substance Use.

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Conflict of interest statement

Conflict of Interest Arthur de Oliveira Corrêa, Eric C. Brown, Tae Kyoung Lee, Juliana Mejía-Trujillo, Augusto Peréz-Gómez, and Nicole Eisenberg declare that they have no conflict of interest.

Figures

Figure 1.
Figure 1.
Standardized factor mean estimates for a 2-class model.
Figure 2.
Figure 2.
Standardized factor mean estimates for a 3-class model.
Figure 3.
Figure 3.
Standardized factor mean estimates for a 4-class model.
Figure 4.
Figure 4.
Standardized factor mean estimates for a 5-class model.
See this image and copyright information in PMC

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