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Do socio-structural factors influence the incidence and reporting of child neglect? An analysis of multi-sectoral national data from Switzerland

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  • Portmann, Rahel
  • Mitrovic, Tanja
  • Gonthier, Hakim
  • Kosirnik, Céline
  • Knüsel, René
  • Jud, Andreas

Abstract

Although there is evidence that documented child neglect is strongly related to the family’s environments, environment factors are largely unexplored. This study seeks to fill this gap by examining the relationship between the socio-structures in which a family is living and the number of documented cases of neglect. We used a subsample of Optimus Study 3 data, the first multi-sectoral survey of child maltreatment in Switzerland. Included in this study were 222 organizations and 4,735 cases. The number of reported cases of child neglect varied greatly between regions, up to 6-fold from the canton with the highest number to the canton with the lowest number. Multilevel analysis revealed associations between child neglect reporting rates and cantonal vacant housing rates, social welfare rates, and single-parent household rates. At the organizational level, the sector in which an incident was referred or reported had an impact on the documented incidents of child neglect.

Suggested Citation

  • Portmann, Rahel & Mitrovic, Tanja & Gonthier, Hakim & Kosirnik, Céline & Knüsel, René & Jud, Andreas, 2022. "Do socio-structural factors influence the incidence and reporting of child neglect? An analysis of multi-sectoral national data from Switzerland," Children and Youth Services Review, Elsevier, vol. 140(C).
    • Handle: RePEc:eee:cysrev:v:140:y:2022:i:c:s0190740922001967
    DOI: 10.1016/j.childyouth.2022.106560
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    References listed on IDEAS

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    1. Thomas Maier & Meichun Mohler-Kuo & Markus Landolt & Ulrich Schnyder & Andreas Jud, 2013. "The tip of the iceberg. Incidence of disclosed cases of child sexual abuse in Switzerland: results from a nationwide agency survey," International Journal of Public Health, Springer;Swiss School of Public Health (SSPH+), vol. 58(6), pages 875-883, December.
    2. Weber, Sabine & Landolt, Markus A. & Maier, Thomas & Mohler-Kuo, Meichun & Schnyder, Ulrich & Jud, Andreas, 2017. "Psychotherapeutic care for sexually-victimized children – Do service providers meet the need? Multilevel analysis," Children and Youth Services Review, Elsevier, vol. 73(C), pages 165-172.
    3. David J. Spiegelhalter & Nicola G. Best & Bradley P. Carlin & Angelika Van Der Linde, 2002. "Bayesian measures of model complexity and fit," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 64(4), pages 583-639, October.
    4. Gilbert, Neil, 2012. "A comparative study of child welfare systems: Abstract orientations and concrete results," Children and Youth Services Review, Elsevier, vol. 34(3), pages 532-536.
    5. Smith, Carrie & Fluke, John D. & Fallon, Barbara & Mishna, Faye & Decker Pierce, Barbara, 2017. "Role specialization and service integration in child welfare: Does organizational structure influence the decision to refer to supportive services?," Children and Youth Services Review, Elsevier, vol. 82(C), pages 139-148.
    6. Smith, Brenda D. & Kay, Emma Sophia & Womack, Bethany G., 2017. "How can county-level maltreatment report rates better inform child welfare practice?," Children and Youth Services Review, Elsevier, vol. 79(C), pages 341-347.
    7. Daniel Stegmueller, 2013. "How Many Countries for Multilevel Modeling? A Comparison of Frequentist and Bayesian Approaches," American Journal of Political Science, John Wiley & Sons, vol. 57(3), pages 748-761, July.
    8. Ben-Arieh, Asher, 2010. "Localities, social services and child abuse: The role of community characteristics in social services allocation and child abuse reporting," Children and Youth Services Review, Elsevier, vol. 32(4), pages 536-543, April.
    9. Barbara Fallon & Joanne Filippelli & Tara Black & Nico Trocmé & Tonino Esposito, 2017. "How Can Data Drive Policy and Practice in Child Welfare? Making the Link in Canada," IJERPH, MDPI, vol. 14(10), pages 1-15, October.
    10. Nico Trocmé & Bree Akesson & Andreas Jud, 2016. "Responding to Child Maltreatment: a Framework for Mapping Child Protection Agencies," Child Indicators Research, Springer;The International Society of Child Indicators (ISCI), vol. 9(4), pages 1029-1041, December.
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