Behavioural and structural prevention to promote the health of socially disadvantaged children and adolescents: an overview of European and German health promotion strategies

Pawils, Silke; Atabaki, Armita; Nöcker, Guido; Linden, S.G. van der; Plaumann, Martina; Walter, Ulla

doi:10.1007/s10389-011-0487-2

Cited by 2 publications

(2 citation statements)

References 23 publications

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“…What all of these prevention programs have in common is emphasis on the transaction between multiple risk factors and ecologies of families at risk. This focus is in line with recent findings showing that a cumulative risk index of individual and ecological risk factors is significantly more predictive of child maltreatment than single risk factors (MacKenzie, Kotch, & Lee, 2011) as well as with recommendations to combine behavioral and structural prevention for the health promotion of children and adolescents (Pawils et al, 2012).…”

supporting

confidence: 84%

Implementing an Inpatient Social Early Warning System for Child Maltreatment

Atabaki

Heddaeus

Schulz

et al. 2012

Research on Social Work Practice

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Objectives: The current article describes the process evaluation of a social early warning system (SEWS) for the prevention of child maltreatment in the federal state of Hamburg. This prevention initiative targets expectant mothers and their partners including an initial screening of risk factors for child maltreatment, a subsequent structured clearing interview further exploring risks and identifying protective factors and an optional referral to the regional health and social care system. Method: The process evaluation was conducted by examining the flow of participants through the different stages of the SEWS as well as asking social education workers, parents, and regional institutions about their satisfaction with the process of the SEWS. Results: The participation rate throughout the SEWS as well as the satisfaction rates were high. Conclusions: The SEWS is a secondary prevention initiative with a substantial difference to other early prevention initiatives, as it aims to facilitate intervention rather than providing it.

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supporting

confidence: 84%

Implementing an Inpatient Social Early Warning System for Child Maltreatment

Atabaki

Heddaeus

Schulz

et al. 2012

Research on Social Work Practice

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“…The socio-economic status of the respondents is determined by income, wealth and education of its members, and refers to their position within a social hierarchy and access to goods and services ( Krieger et al, 1997 ). In many empirical studies, SES define social disadvantage ( Pawils et al, 2012) .…”

Section: Methodsmentioning

confidence: 99%

Utilization of Primary and Secondary Medical Care among Disadvantaged Populations: A Log-Linear Model Analysis

Din¹,

Zugman²,

Khashper³

2014

GJHS

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Aim:We examined how, where an overall population is covered by universal health insurance, characteristics of disadvantaged populations interact to influence inequality in primary and secondary medical care utilization.Subject and Methods:Disadvantaged populations, the focus of the study, were defined as populations who have lower socio-economic status (SES), who are elderly and/or reside in a peripheral area. Data from the 2009 Israeli National Health Survey were analysed using log-linear models to estimate utilization of medical care.Results:The main findings were: a) pro-poor utilization of primary medical care among elderly populations, with higher odds ratios for low SES populations in the periphery; (b) lack of interaction between SES and primary medical care utilization among younger populations, between SES and secondary medical care utilization among the elderly and pro-rich utilization of secondary medical care among younger populations who did not regularly visit general practitioners (GP); (c) the odds ratios of secondary medical care utilization increased as SES decreased for both elderly and younger populations who also regularly visited a GP.Conclusion:Potential policy implications for disadvantaged populations, regarding possible inequality in primary and secondary medical care utilization, can be drawn using log-linear model analysis of interactions among characteristics (SES, age, location) of disadvantaged populations.

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Behavioural and structural prevention to promote the health of socially disadvantaged children and adolescents: an overview of European and German health promotion strategies

Cited by 2 publications

References 23 publications

Implementing an Inpatient Social Early Warning System for Child Maltreatment

Implementing an Inpatient Social Early Warning System for Child Maltreatment

Utilization of Primary and Secondary Medical Care among Disadvantaged Populations: A Log-Linear Model Analysis

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