IDEAS home Printed from https://ideas.repec.org/a/eee/cysrev/v119y2020ics0190740920320946.html
   My bibliography  Save this article

Opioid overdose events and child maltreatment indicators: Differential county-level associations

Author

Listed:
  • Rebbe, Rebecca
  • Bishop, Asia S.
  • Ahn, Jooree
  • Mienko, Joseph A.

Abstract

Concerns have been raised that the opioid epidemic has caused increases in child maltreatment and thus, increased child protective system (CPS) caseloads. Understanding the specific impact of the opioid crisis on the child welfare system is a current priority for researchers and policymakers. Yet, research is routinely limited by available measures of the opioid epidemic, maltreatment, or both. Research analyzing broader aspects of maltreatment and the opioid epidemic can improve our understanding of this link, informing decisions about how to target child welfare resources to improve child outcomes. Thus, the purpose of this study was to examine the longitudinal associations between county-level opioid overdose event rates and four indicators child maltreatment.

Suggested Citation

  • Rebbe, Rebecca & Bishop, Asia S. & Ahn, Jooree & Mienko, Joseph A., 2020. "Opioid overdose events and child maltreatment indicators: Differential county-level associations," Children and Youth Services Review, Elsevier, vol. 119(C).
  • Handle: RePEc:eee:cysrev:v:119:y:2020:i:c:s0190740920320946
    DOI: 10.1016/j.childyouth.2020.105671
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0190740920320946
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.childyouth.2020.105671?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Croissant, Yves & Millo, Giovanni, 2008. "Panel Data Econometrics in R: The plm Package," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 27(i02).
    2. Maguire-Jack, Kathryn & Font, Sarah A., 2017. "Intersections of individual and neighborhood disadvantage: Implications for child maltreatment," Children and Youth Services Review, Elsevier, vol. 72(C), pages 44-51.
    3. Bullinger, Lindsey Rose & Wing, Coady, 2019. "How many children live with adults with opioid use disorder?," Children and Youth Services Review, Elsevier, vol. 104(C), pages 1-1.
    4. Lynch, Sean & Sherman, Laura & Snyder, Susan M. & Mattson, Margaret, 2018. "Trends in infants reported to child welfare with neonatal abstinence syndrome (NAS)," Children and Youth Services Review, Elsevier, vol. 86(C), pages 135-141.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Alexander Chapman, 2022. "The Opioid Crisis and Child Maltreatment Across Counties and Time in the United States, 2007–2017," The ANNALS of the American Academy of Political and Social Science, , vol. 703(1), pages 139-161, September.
    2. Joseph Mienko & Rebecca Rebbe, "undated". "Understanding the Effect of the Opioid Epidemic on Child Maltreatment," Mathematica Policy Research Reports bc38dfc6a7b5428e969c01b42, Mathematica Policy Research.
    3. Mónica L. Caudillo & Andrés Villarreal & Philip N. Cohen, 2022. "The Opioid Epidemic and Children’s Living Arrangements in the United States, 2000–2018," The ANNALS of the American Academy of Political and Social Science, , vol. 703(1), pages 162-187, September.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Atkins, Danielle N. & Durrance, Christine Piette, 2021. "The impact of state-level prenatal substance use policies on infant foster care entry in the United States," Children and Youth Services Review, Elsevier, vol. 130(C).
    2. Alexander Chapman, 2022. "The Opioid Crisis and Child Maltreatment Across Counties and Time in the United States, 2007–2017," The ANNALS of the American Academy of Political and Social Science, , vol. 703(1), pages 139-161, September.
    3. Giovanni Millo & Gaetano Carmeci, 2011. "Non-life insurance consumption in Italy: a sub-regional panel data analysis," Journal of Geographical Systems, Springer, vol. 13(3), pages 273-298, September.
    4. Shinsuke Asakawa, 2020. "Can Child Benefits Shape Parents' Attitudes toward Childrearing in Japan?: Effects of Child Benefit Policy Expansions," Discussion Papers in Economics and Business 19-04-Rev.2, Osaka University, Graduate School of Economics.
    5. Hötte, Kerstin, 2023. "Demand-pull, technology-push, and the direction of technological change," Research Policy, Elsevier, vol. 52(5).
    6. Cécile Bazart & Mickael Beaud & Dimitri Dubois, 2020. "Whistleblowing vs. Random Audit: An Experimental Test of Relative Efficiency," Kyklos, Wiley Blackwell, vol. 73(1), pages 47-67, February.
    7. Ana Beatriz Hernández-Lara & Juan Pablo Gonzales-Bustos & Amado Alarcón-Alarcón, 2021. "Social Sustainability on Corporate Boards: The Effects of Female Family Members on R&D," Sustainability, MDPI, vol. 13(4), pages 1-13, February.
    8. Tsai, Tsung-Han, 2016. "A Bayesian Approach to Dynamic Panel Models with Endogenous Rarely Changing Variables," Political Science Research and Methods, Cambridge University Press, vol. 4(3), pages 595-620, September.
    9. Wilman Gómez & Carlos Esteban Posada & Remberto Rhenals, 2018. "Determinants of Total Factor Productivity: The cases of the main Latin American and emerging economies of Asia (1960 - 2015)," Documentos de Trabajo de Valor Público 17203, Universidad EAFIT.
    10. Marc van Kralingen & Diego Garlaschelli & Karolina Scholtus & Iman van Lelyveld, 2020. "Crowded trades, market clustering, and price instability," Papers 2002.03319, arXiv.org.
    11. Davide Fiaschi & Elisa Giuliani, 2011. "The impact of business on society: exploring CRS adoption and alleged human rights abuses by large corporations," LEM Papers Series 2011/13, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    12. Simone Lazzini & Zeila Occhipinti & Angela Parenti & Roberto Verona, 2021. "Disentangling economic crisis effects from environmental regulation effects: Implications for sustainable development," Business Strategy and the Environment, Wiley Blackwell, vol. 30(5), pages 2332-2353, July.
    13. Xueru Chen & Xiaoji Hu & Shenglin Ben, 2021. "How do reputation, structure design and FinTech ecosystem affect the net cash inflow of P2P lending platforms? Evidence from China," Electronic Commerce Research, Springer, vol. 21(4), pages 1055-1082, December.
    14. Orozco, Luis Antonio & Sanabria, John Alirio & Sosa, Juan Camilo & Aristizabal, Jeimy & López, Liliana, 2022. "How do IT investments interact with other resources to improve innovation?," Journal of Business Research, Elsevier, vol. 144(C), pages 358-365.
    15. Vinícius B. P. Chagas & Pedro L. B. Chaffe & Günter Blöschl, 2022. "Climate and land management accelerate the Brazilian water cycle," Nature Communications, Nature, vol. 13(1), pages 1-10, December.
    16. Francisco Triguero‐Ruiz & Antonio Avila‐Cano, 2023. "On competitive balance in the group stage of the UEFA Champions League," Scottish Journal of Political Economy, Scottish Economic Society, vol. 70(3), pages 231-248, July.
    17. Kleiber Christian & Zeileis Achim, 2010. "The Grunfeld Data at 50," German Economic Review, De Gruyter, vol. 11(4), pages 404-417, December.
    18. Buckles, Kasey & Evans, William N. & Lieber, Ethan M.J., 2023. "The drug crisis and the living arrangements of children," Journal of Health Economics, Elsevier, vol. 87(C).
    19. Bijlsma, Maarten J. & Wilson, Ben & Tarkiainen, Lasse & Myrskylä, Mikko & Martikainen, Pekka, 2019. "The impact of unemployment on antidepressant purchasing: adjusting for unobserved time-constant confounding in the g-formula," LSE Research Online Documents on Economics 101216, London School of Economics and Political Science, LSE Library.
    20. Miomir Jovanović & Ljiljana Kašćelan & Aleksandra Despotović & Vladimir Kašćelan, 2015. "The Impact of Agro-Economic Factors on GHG Emissions: Evidence from European Developing and Advanced Economies," Sustainability, MDPI, vol. 7(12), pages 1-21, December.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:cysrev:v:119:y:2020:i:c:s0190740920320946. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/childyouth .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.