Disadvantaged neighborhoods and the spatial overlap of substantiated and unsubstantiated child maltreatment referrals.


Journal

Child abuse & neglect
ISSN: 1873-7757
Titre abrégé: Child Abuse Negl
Pays: England
ID NLM: 7801702

Informations de publication

Date de publication:
06 2020
Historique:
received: 14 10 2019
revised: 07 02 2020
accepted: 18 03 2020
pubmed: 23 4 2020
medline: 2 6 2021
entrez: 23 4 2020
Statut: ppublish

Résumé

Considerable debate exists on whether the substantiation decision is a reliable measure for rates of maltreatment. Studies have shown that risks among children victims of maltreatment versus children investigated but unsubstantiated are similar. This paper aims to respond to two research questions: (1) Do most child maltreatment referrals, substantiated and unsubstantiated, come from the same neighborhoods? (2) Do substantiated and unsubstantiated referrals share the same neighborhood risk factors? We used geocoded data from substantiated (n = 1799) and unsubstantiated (n = 1638) child maltreatment referrals in Valencia, Spain (2004-2015). As the neighborhood proxy, we used 552 Census block groups. Neighborhood characteristics analyzed were: socioeconomic status, immigration concentration, residential instability, and public disorder and crime. To study the geographical overlap of child maltreatment referrals, a Bayesian joint modeling approach was used. To analyze the influence of neighborhood-level characteristics on risk, we used a Bayesian random-effects modeling approach. For substantiated child maltreatment referrals, 90 % of the total between-area variation in risk is captured by the shared component, while for unsubstantiated child maltreatment referrals, the shared component was 88 %. The correlation between substantiated and unsubstantiated risks of child maltreatment referrals was .80. These risks were higher in neighborhoods with low levels of socioeconomic status, higher immigrant concentration, public disorder and crime. Child maltreatment referrals, regardless of whether substantiated or unsubstantiated, overlap in the same disadvantaged neighborhoods. This suggests that in these neighborhoods, families are at a higher risk of being investigated by child protective services suggesting a potential reporting bias.

Sections du résumé

BACKGROUND
Considerable debate exists on whether the substantiation decision is a reliable measure for rates of maltreatment. Studies have shown that risks among children victims of maltreatment versus children investigated but unsubstantiated are similar.
OBJECTIVE
This paper aims to respond to two research questions: (1) Do most child maltreatment referrals, substantiated and unsubstantiated, come from the same neighborhoods? (2) Do substantiated and unsubstantiated referrals share the same neighborhood risk factors?
PARTICIPANTS AND SETTINGS
We used geocoded data from substantiated (n = 1799) and unsubstantiated (n = 1638) child maltreatment referrals in Valencia, Spain (2004-2015). As the neighborhood proxy, we used 552 Census block groups. Neighborhood characteristics analyzed were: socioeconomic status, immigration concentration, residential instability, and public disorder and crime.
METHODS
To study the geographical overlap of child maltreatment referrals, a Bayesian joint modeling approach was used. To analyze the influence of neighborhood-level characteristics on risk, we used a Bayesian random-effects modeling approach.
RESULTS
For substantiated child maltreatment referrals, 90 % of the total between-area variation in risk is captured by the shared component, while for unsubstantiated child maltreatment referrals, the shared component was 88 %. The correlation between substantiated and unsubstantiated risks of child maltreatment referrals was .80. These risks were higher in neighborhoods with low levels of socioeconomic status, higher immigrant concentration, public disorder and crime.
CONCLUSIONS
Child maltreatment referrals, regardless of whether substantiated or unsubstantiated, overlap in the same disadvantaged neighborhoods. This suggests that in these neighborhoods, families are at a higher risk of being investigated by child protective services suggesting a potential reporting bias.

Identifiants

pubmed: 32320911
pii: S0145-2134(20)30132-0
doi: 10.1016/j.chiabu.2020.104477
pii:
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

104477

Informations de copyright

Copyright © 2020 Elsevier Ltd. All rights reserved.

Auteurs

Miriam Marco (M)

Department of Social Psychology and Methodology, Autonomous University of Madrid, C/Ivan Pavlov, 6, 28049, Madrid, Spain. Electronic address: miriam.marco@uam.es.

Kathryn Maguire-Jack (K)

School of Social Work, University of Michigan, 1080 S. University Avenue, Ann Arbor, MI 48109, USA. Electronic address: kmjack@umich.edu.

Enrique Gracia (E)

Department of Social Psychology, University of Valencia, Av. Blasco Ibáñez, 21, 46010, Valencia, Spain. Electronic address: Enrique.Gracia@uv.es.

Antonio López-Quílez (A)

Department of Statistics and Operations Research, University of Valencia, C/Doctor Moliner, 50, 46100, Burjassot, Valencia, Spain. Electronic address: Antonio.Lopez@uv.es.

Articles similaires

[Redispensing of expensive oral anticancer medicines: a practical application].

Lisanne N van Merendonk, Kübra Akgöl, Bastiaan Nuijen
1.00
Humans Antineoplastic Agents Administration, Oral Drug Costs Counterfeit Drugs

Smoking Cessation and Incident Cardiovascular Disease.

Jun Hwan Cho, Seung Yong Shin, Hoseob Kim et al.
1.00
Humans Male Smoking Cessation Cardiovascular Diseases Female
Humans United States Aged Cross-Sectional Studies Medicare Part C
1.00
Humans Yoga Low Back Pain Female Male

Classifications MeSH