An illustration of how program implementers can use population-specific analyses to facilitate the selection of evidence-based home visiting programs
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| Format: | Artículo científico |
| Language: | en |
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Colegio Oficial de Psicólogos de Madrid
2017
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| _version_ | 1876431442869747712 |
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| author | Ayesha C. Sujan |
| author_facet | Ayesha C. Sujan |
| contents | An illustration of how program implementers can use population-specific analyses to facilitate the selection of evidence-based home visiting programs Ayesha C. Sujan John Eckenrode Psicología Targeting interventions Maternal and child health Home visiting interventions Disseminating interventions Given that effective home visiting (HV) programs targeting at-risk families impact different outcomes and associations between risk factors and outcomes may vary across populations, program implementers should evaluate population-specific risk-outcome associations in order to select interventions that are most likely to benefit families in target communities. We used data collected in a rural community in upstate New York (i.e., Elmira) and three standard statistical methods (i.e., bivariate, multivariate, and cumulative risk analyses) to assess associations between maternal socio-demographic risk factors and outcomes typically targeted with HV interventions. With the results, we illustrated how program implementers could use population-specific analyses of data collected prior to the implementation of HV interventions to select interventions that may be most likely to benefit families in a target community. For example, our multivariate results suggested that lower socioeconomic families in Elmira were particularly at-risk for child maltreatment, poor family economic self-sufficiency, and poor child academic achievement, indicating that it may be particularly beneficial to implement HV programs that have been shown to affect these outcomes (e.g., Nurse Family Partnership and Parents as Teachers) in Elmira. We encourage program implementers to conduct similar population-specific analyses to help select evidence-based HV interventions for their target communities. 2017 artículo científico 1132-0559 https://www.redalyc.org/articulo.oa?id=179869016006 https://www.redalyc.org/journal/1798/179869016006/ https://www.redalyc.org/journal/1798/179869016006/html/ https://www.redalyc.org/journal/1798/179869016006/179869016006.epub https://www.redalyc.org/journal/1798/179869016006/movil 10.1016/j.psi.2017.01.001 en http://www.redalyc.org/revista.oa?id=1798 Psychosocial Intervention application/pdf Colegio Oficial de Psicólogos de Madrid Psychosocial Intervention (España) Num.2 Vol.26 |
| format | Artículo científico |
| id | redalyc_179869016006 |
| institution | Redalyc |
| language | en |
| publishDate | 2017 |
| publisher | Colegio Oficial de Psicólogos de Madrid |
| spellingShingle | An illustration of how program implementers can use population-specific analyses to facilitate the selection of evidence-based home visiting programs Ayesha C. Sujan Psicología Targeting interventions Maternal and child health Home visiting interventions Disseminating interventions An illustration of how program implementers can use population-specific analyses to facilitate the selection of evidence-based home visiting programs Ayesha C. Sujan John Eckenrode Psicología Targeting interventions Maternal and child health Home visiting interventions Disseminating interventions Given that effective home visiting (HV) programs targeting at-risk families impact different outcomes and associations between risk factors and outcomes may vary across populations, program implementers should evaluate population-specific risk-outcome associations in order to select interventions that are most likely to benefit families in target communities. We used data collected in a rural community in upstate New York (i.e., Elmira) and three standard statistical methods (i.e., bivariate, multivariate, and cumulative risk analyses) to assess associations between maternal socio-demographic risk factors and outcomes typically targeted with HV interventions. With the results, we illustrated how program implementers could use population-specific analyses of data collected prior to the implementation of HV interventions to select interventions that may be most likely to benefit families in a target community. For example, our multivariate results suggested that lower socioeconomic families in Elmira were particularly at-risk for child maltreatment, poor family economic self-sufficiency, and poor child academic achievement, indicating that it may be particularly beneficial to implement HV programs that have been shown to affect these outcomes (e.g., Nurse Family Partnership and Parents as Teachers) in Elmira. We encourage program implementers to conduct similar population-specific analyses to help select evidence-based HV interventions for their target communities. 2017 artículo científico 1132-0559 https://www.redalyc.org/articulo.oa?id=179869016006 https://www.redalyc.org/journal/1798/179869016006/ https://www.redalyc.org/journal/1798/179869016006/html/ https://www.redalyc.org/journal/1798/179869016006/179869016006.epub https://www.redalyc.org/journal/1798/179869016006/movil 10.1016/j.psi.2017.01.001 en http://www.redalyc.org/revista.oa?id=1798 Psychosocial Intervention application/pdf Colegio Oficial de Psicólogos de Madrid Psychosocial Intervention (España) Num.2 Vol.26 |
| title | An illustration of how program implementers can use population-specific analyses to facilitate the selection of evidence-based home visiting programs |
| topic | Psicología Targeting interventions Maternal and child health Home visiting interventions Disseminating interventions |
| url | https://www.redalyc.org/articulo.oa?id=179869016006 https://www.redalyc.org/journal/1798/179869016006/ https://www.redalyc.org/journal/1798/179869016006/html/ https://www.redalyc.org/journal/1798/179869016006/179869016006.epub https://www.redalyc.org/journal/1798/179869016006/movil |