[Skip to Navigation]
Sign In
Article
Journal Club
October 4, 2010

Household, Family, and Child Risk Factors After an Investigation for Suspected Child Maltreatment: A Missed Opportunity for Prevention

Journal Club PowerPoint Slide Download
Author Affiliations

Author Affiliations: Department of Pediatrics, University of Utah, Salt Lake City (Drs Campbell, Cook, and Keenan); and College of Public Health, University of Arizona, Tucson (Dr LaFleur).

Arch Pediatr Adolesc Med. 2010;164(10):943-949. doi:10.1001/archpediatrics.2010.166
Abstract

Objective  To determine whether a Child Protection Services investigation for suspected child maltreatment is associated with subsequent improvements in household, caregiver, and child risk factors.

Design  Retrospective cohort study.

Setting  The Longitudinal Studies of Child Abuse and Neglect, a multicenter cohort study of the antecedents and consequences of child maltreatment.

Participants  A total of 595 children with the same maternal caregiver responding to Longitudinal Studies of Child Abuse and Neglect surveys at ages 4 and 8 years.

Main Exposure  Investigation for suspected child maltreatment between ages 4 and 8 years.

Main Outcome Measures  Adjusted differences in 7 modifiable risk factors (social support, family functioning, poverty, maternal education, maternal depressive symptoms, anxious or depressive child behaviors, and aggressive or destructive child behaviors) at age 8 years.

Results  Of 595 subjects, 164 (27.6%) experienced an investigation for suspected child maltreatment between ages 4 and 8 years. At age 8 years, investigated subjects were not perceptibly different from noninvestigated subjects in social support, family functioning, poverty, maternal education, or child behavior problems after adjusting for baseline risk factors. Mothers of investigated subjects did have more depressive symptoms than mothers of noninvestigated peers at the child's age of 8 years. Substantiation of child maltreatment by Child Protective Services did not alter these findings.

Conclusions  Our finding that an investigation for suspected child maltreatment is not associated with relative improvements in common, modifiable risk factors suggests that we may be missing an opportunity for secondary prevention of maltreatment and maltreatment consequences.

In 2007, Child Protective Services (CPS) in the United States investigated 3.2 million children for suspected child maltreatment.1 A CPS investigation, regardless of outcome, signals a household at risk. In the years following CPS investigation, households are at increased risk for family violence and parental dysfunction, for child medical and behavioral problems, and for future incidents of maltreatment when compared with households not investigated by CPS.2-8 A CPS investigation grants unique access into high-risk households to provide services that may reduce repeat maltreatment and improve outcomes.9,10

It is not clear that we are taking advantage of this opportunity to help families. Just 38% of children investigated for maltreatment receive any postinvestigative services.1 While 42% of children have identifiable behavioral problems at the time of CPS investigation, only 28% of children receive mental health services during the 12 months following CPS investigation.11 Among caregivers reporting intimate partner violence at the time of CPS investigation, 40% report continued intimate partner violence 18 months later.12 In the years following a CPS investigation, 22% to 62% of children will be referred back for new concerns of maltreatment.13-19

Prior research has identified barriers to prevention efforts at the time of CPS investigation. The adversarial process of case investigation and case determination may be one barrier. Constrained by system requirements, CPS caseworkers may focus on evidence collection and placement decisions rather than identification of and referral for household, caregiver, and child risk factors related to long-term outcomes.10,20Caregivers upset by this investigative process may be reluctant to accept supportive resources offered by CPS caseworkers.21 Poor interdisciplinary communication during and after CPS investigation presents a second barrier. Involvement of CPS with a family is often brief in comparison with the involvement of primary care physicians and other mandated reporters. Despite this, physicians receive little, if any, follow-up information after an investigation, leaving them unaware of physical and behavioral problems identified during an investigation.22 A critical third barrier is our limited understanding of the effectiveness of interventions after child maltreatment. Traditional CPS interventions such as family preservation and family support services after investigation are not associated with reductions in repeat maltreatment or foster care placement.20,23,24 Researchers have described success with targeted interventions such as parent training programs after physical abuse, cognitive behavioral therapy after sexual abuse, and therapeutic peer interaction after neglect.25-30 While such results are promising, these practices have yet to be implemented and evaluated on a wider basis.

Many studies have examined repeat maltreatment and child outcomes based on risk factors measured at the time of CPS investigation.13,16,17,19,31,32 To our knowledge, however, there is no research describing change in risk factors after CPS investigation. We undertook this study to understand whether a CPS investigation for physical abuse, sexual abuse, or neglect is associated with changes in household, caregiver, and child risk factors for repeat maltreatment and poor child outcomes. Under ideal conditions, a CPS investigation would be associated with subsequent improvements in household, caregiver, and child risk factors when compared with changes observed in noninvestigated households. Alternately, a CPS investigation might be disruptive to a household and be associated with worsening in risk factors compared with noninvestigated households. Finally, a CPS investigation may be entirely independent of subsequent changes in risk factors. Based on previously identified barriers to providing effective interventions following a CPS investigation, we hypothesized that changes in household, family, and child risk factors would be independent of CPS investigation.

Methods

Data source

This cohort study relies on data from the Longitudinal Studies of Child Abuse and Neglect (LONGSCAN).33 LONGSCAN is a consortium of 5 geographically distinct research sites that use common study procedures to examine the antecedents and consequences of child abuse among high-risk children. Between July 1991 and March 2000, LONGSCAN investigators conducted interviews with 1249 subjects at age 4 years. Depending on the study site, these subjects included children in foster care, children reported for maltreatment, children at risk for maltreatment, and nonmaltreated control subjects (Table 1).34 These subjects were followed up prospectively with face-to-face primary caregiver interviews every 2 to 4 years until age 18 years. The current study relies on interview data at ages 4 and 8 years from the combined LONGSCAN sample.

Table 1. 
Sample Characteristics From the LONGSCAN
Sample Characteristics From the LONGSCAN

Permissions

The LONGSCAN data were made available to us by the National Data Archive on Child Abuse and Neglect, Cornell University, Ithaca, New York, and are used with Archive permission. The University of Utah Institutional Review Board granted institutional review board exemption for analysis of deidentified LONGSCAN data.

Participants

The study cohort was drawn from 712 LONGSCAN subjects with the same maternal caregiver responding to the interviews at the child's ages of 4 and 8 years. We excluded subjects with different responding caregivers at each interview to improve consistency between interviews and to better identify changes experienced by caregivers and children after CPS investigation. Only subjects with complete data were included in the analyses.

Exposure

The exposure of interest was a CPS investigation occurring between the LONGSCAN interviews at ages 4 and 8 years. Our investigated group included subjects with at least 1 CPS investigation for suspected child physical abuse, sexual abuse, or neglect between the interviews at ages 4 and 8 years. Our comparison group included subjects without a CPS investigation during the same period. Data describing the outcome of CPS investigation (substantiated or unsubstantiated) and time since last CPS investigation were retained for secondary analyses. Specific data on postinvestigation services, including foster placement, are incomplete within the LONGSCAN data set.

Outcome

The outcome of interest was the adjusted difference between modifiable risk factors measured by the interview at age 8 years in the investigated group compared with the noninvestigated group.

Covariates

Modifiable Household, Caregiver, and Child Risk Factors

Based on a review of the literature, we identified a set of modifiable risks associated with outcomes after child maltreatment available within the LONGSCAN data set (Table 2).35,36 These modifiable risks included household risk (social support, family functioning, and poverty level), caregiver risk (maternal education level and depressive symptoms), and child risk (anxious or depressive behaviors and aggressive or destructive behaviors).16,37-50 LONGSCAN relied on different measures for 3 risk factors (social support, family functioning, and maternal depression) between the interviews at ages 4 and 8 years. Although the results of these different instruments cannot be directly compared, risk factor outcomes at the interview at age 8 years can be adjusted for baseline risk measured at the interview at age 4 years. The online LONGSCAN measures manuals provide a complete description of the study instruments (http://www.iprc.unc.edu/longscan/pages/measures/index.htm).

Table 2. 
Measures of Modifiable Household, Caregiver, and Child Risksa
Measures of Modifiable Household, Caregiver, and Child Risksa

Baseline Household, Caregiver, and Child Characteristics

In addition to modifiable risk factors measured at age 4 years (baseline risk factors), we identified a set of nonmodifiable characteristics (baseline characteristics) that might be associated with both our exposure (CPS investigation) and outcomes (modifiable risk factors) of interest. Baseline characteristics included child sex, child race (white vs other), maternal age, maternal relationship (biological vs adoptive mother), number of children in the household at the interview at age 4 years, and history of CPS investigation prior to age 4 years.

Statistical analysis

We first conducted a sensitivity analysis to examine the potential bias of nonrandom missing data in the LONGSCAN database. We compared characteristics of eligible subjects with complete data with those without complete data on LONGSCAN site, CPS investigation, and risk factors at age 8 years.

We then examined the univariate associations between baseline risk factors and characteristics and (1) CPS investigation between the interviews at ages 4 and 8 years and (2) modifiable risk factors measured at the interview at age 8 years. We retained baseline risk factors and characteristics that predicted either CPS investigation or risk factors at age 8 years as covariates for all multivariable models (P < .05). We developed a logistic model to examine how well these baseline risk factors and characteristics distinguished between investigated and noninvestigated households by measuring the area under the receiver operating curve.

We next developed a series of linear mixed-effects models to describe the adjusted differences in each risk factor at age 8 years based on exposure to CPS investigation between ages 4 and 8 years. We selected a linear mixed-model approach to accommodate possible correlation of observations induced by clustering by study site in the LONGSCAN data set. Linear mixed-effects models are specified with a random effects component describing the data clusters and a fixed effects component adjusting for the remaining covariates.51 We chose an exchangeable correlation structure for the random components.

We created a separate multivariable model for each modifiable risk outcome at age 8 years. For each model, a covariate for CPS investigation between ages 4 and 8 years was specified in the fixed effects component. In addition, the fixed effects component included all baseline modifiable risks and characteristics retained from univariate comparisons. The LONGSCAN site was entered as a random effects intercept for each model. The result of interest for each model was the β coefficient for the CPS covariate, reflecting the difference in risk between investigated and comparison subjects, adjusted for baseline modifiable risks and characteristics.

We conducted 2 secondary analyses. We compared subjects with a substantiated finding of child maltreatment with noninvestigated subjects to describe how substantiation of child maltreatment was associated with risk factor outcomes. We also examined the relationship between time since CPS investigation and risk factor outcomes to better understand the trajectory of change in risk factors among investigated subjects.

Results

Study cohort

Seven hundred twelve LONGSCAN subjects with the same maternal caregiver responding to the interviews at the child's ages of 4 and 8 years were eligible for the current study. From this group, we identified a study cohort of 595 subjects (83.6%) with complete data. Eligible subjects with missing data did not differ from the study cohort based on LONGSCAN site, CPS investigations, child sex or race, maternal age or relationship, number of children in the household, social support, family functioning, maternal depression, or child behaviors. Subjects with missing data had lower maternal education at age 4 years compared with study subjects (11.2 vs 11.7 years, respectively; P = .04). This difference was less pronounced at age 8 years (11.6 vs 11.9 years, respectively; P = .06).

Of 595 study subjects, 164 (27.6%) had a CPS investigation between the interviews at ages 4 and 8 years. Investigated subjects experienced an average of 2.2 CPS investigations (median, 2 investigations; range, 1-9 investigations) during this time. The CPS investigation occurred a mean (SD) of 18.7 (13.3) months prior to the interview at age 8 years. The CPS investigations resulted in at least 1 substantiated finding of child maltreatment between the interviews at ages 4 and 8 years in 74 investigated subjects (45.1%).

Model building

Covariates Associated With CPS Investigation Between Ages 4 and 8 Years

At the interview at age 4 years, there were significant unadjusted differences in baseline modifiable risks and characteristics between investigated and comparison subjects (Table 3). Households of investigated subjects had lower family function and more poverty than households of noninvestigated subjects. Maternal caregivers of investigated subjects were older, had less education, and had more depressive symptoms than caregivers of comparison subjects. Investigated subjects were more likely to be white and to have had previous CPS investigation. Investigated subjects had more aggressive or destructive behaviors at age 4 years than comparison subjects. Child sex and household size were not associated with CPS investigation. Differences in LONGSCAN site were noted, with significantly higher proportions of investigated subjects at the northwest and southwest sites compared with the east, midwest, and south sites.

Table 3. 
Baseline Characteristics and Risk Factors at Age 4 Years
Baseline Characteristics and Risk Factors at Age 4 Years

Covariates Associated With Household, Caregiver, and Child Risk Factors at Age 8 Years

Univariate analysis demonstrated significant associations between all modifiable risk factors at baseline and age 8 years. Child sex was the only baseline characteristic not associated with at least 1 modifiable risk factor at age 8 years.

Final Covariate Selection for Multivariable Analysis

Covariates selected for subsequent linear mixed-effects models included baseline characteristics (CPS investigation prior to age 4 years, white or other child race, biological or adoptive maternal relationship, maternal age, and number of children in the household) and baseline risk factors (household social support, poverty level, and family functioning; maternal education level and depressive symptoms; and child anxious or depressive behaviors and aggressive or destructive behaviors). In a logistic regression model that included a categorical LONGSCAN site variable, these covariates provided good prediction of CPS investigation between ages 4 and 8 years (area under the receiver operating curve = 0.83). This assured us that we were adjusting for important baseline differences between our investigated and comparison subjects.

Household, caregiver, and child risk at age 8 years

In univariate analysis, a CPS investigation between ages 4 and 8 years was associated with higher levels of poverty, maternal depressive symptoms, and child behavior problems at the interview at age 8 years (Table 4). In fully adjusted linear mixed-effects models, a CPS investigation predicted higher maternal depressive symptoms at the child's age of 8 years (2.5 points higher; P = .006). A CPS investigation was associated with higher levels of risk in all remaining risk factors; however, these differences were not statistically significant (Table 5).

Table 4. 
Unadjusted Modifiable Risk Factors at LONGSCAN Interview at Age 8 Years
Unadjusted Modifiable Risk Factors at LONGSCAN Interview at Age 8 Years
Table 5. 
Adjusted Differences in Modifiable Household, Caregiver, and Child Risk Factors at Age 8 Years in LONGSCAN Subjects With and Without a Child Protective Services Investigation Between Ages 4 and 8 Yearsa
Adjusted Differences in Modifiable Household, Caregiver, and Child Risk Factors at Age 8 Years in LONGSCAN Subjects With and Without a Child Protective Services Investigation Between Ages 4 and 8 Yearsa

We conducted 2 subanalyses to better understand these results. We first compared subjects with a substantiated CPS investigation with those with no CPS investigation, excluding subjects with only unsubstantiated CPS investigation. As in our primary analysis, a substantiated CPS investigation predicted increased maternal depressive symptoms at the child's age of 8 years (3.2 points higher; P = .008). A substantiated CPS investigation was associated with nonsignificant increases in all other risk levels compared with no investigation (Table 5). We then examined only investigated households, adding a covariate for time since CPS investigation. Months since the last CPS contact was associated with increasing scores on the internalizing behaviors subscale of the Child Behavior Checklist (increase of 0.1 point per month since investigation; P = .004). Similar trends in worsening aggressive or destructive behaviors (increase of 0.1 point per month; P = .09) and family dysfunction (increase of 0.03 point per month; P = .07) were not statistically significant.

Comment

In our cohort of 595 households at high risk for child maltreatment, a CPS investigation for suspicion of maltreatment represented a legally mandated opportunity to identify needs and provide resources that might improve long-term outcomes for 164 households.28 Despite this, we identified no significant difference in social support, family function, poverty, maternal education, and child behavior problems associated with CPS investigation. Maternal depressive symptoms were worse in households with a CPS investigation compared with those without an investigation. These results did not change if an investigation resulted in a substantiated finding of child maltreatment, although these households were the most likely to have received postinvestigative services.1

We considered 2 possible interpretations of these findings. One interpretation is that CPS investigation occurs during periods of worsening household, caregiver, and child risk and that CPS investigation results in a recovery to expected levels of risk. If this were the case, we would expect households with recent CPS investigation to have greater risk than households with more distant investigation, where passage of time might allow investigated households to reach a level of risk comparable to that of noninvestigated households. Our analysis failed to identify this association. The only significant time association identified was an increase in child behavior problems with passage of time since investigation.

The second interpretation is that a CPS investigation is not associated with the subsequent household, caregiver, and child risk factors examined. This interpretation is most consistent with our findings. The lack of change in household characteristics known to be associated with repeat abuse suggests that CPS intervention represents a missed opportunity to improve outcomes for children at high risk for future maltreatment, medical problems, and behavioral problems.

These findings are not surprising. Many risk factors examined in this study, such as poverty and social support, are not the focus for interventions offered as a result of CPS investigation. When postinvestigation services are offered, they commonly target risk factors associated with more immediate threats to safety such as substance abuse or domestic violence.10 Unfortunately, it is not clear that these interventions successfully reduce risk for future violence or abuse.12,52

Changing long-term outcomes for families and children may require a shift in our attention to the broader household, caregiver, and child risk factors identified in the course of CPS involvement in the home. Improvements in financial resources and social support have been associated with successful primary prevention of abuse.53 Improvements in family function and child behaviors through parent-child interaction therapy have been shown to reduce repeat physical abuse.26,30,54 Higher levels of social support are associated with improved child well-being after abuse.48 Trauma-focused cognitive behavioral therapy is associated with better outcomes after sexual abuse.29 Future research should focus on identifying effective interventions to improve long-term outcomes and supporting the social, medical, and community resources needed to deliver these services.28

Our findings must be interpreted in the context of the limitations of our study. As a secondary analysis of an existing database, our analysis was limited by the variables available in the LONGSCAN data set.

Potentially important modifiable risk factors were not included in the analysis owing to limitations in the LONGSCAN data set. Intimate partner violence was not examined because of the lack of a validated measure at the interview at age 4 years. Substance abuse was not considered because of the lack of a validated measure at the interview at age 8 years. Using multivariable analysis, we attempted to account for many baseline differences between households with and without a CPS investigation. The lack of reliable measures for substance abuse and intimate partner violence, however, limits our ability to understand the influences of these risk factors within households. We could not directly examine the chronology of changes in risk within these households or assess the causal relationship between the risk factors studied and a CPS investigation. We attempted to compensate for this by examining effects on outcomes by time from CPS referral. We cannot assess the role of specific postinvestigative services in altering household, caregiver, and child risk factors as not all LONGSCAN sites systematically collected this information. While we recognize that better understanding of the effectiveness of specific services is important, this study was intended to examine the effectiveness of the child protection system in using the opportunity provided by a CPS investigation. We recognize that LONGSCAN data, now more than a decade old, may not reflect current practices in support offered to families after an investigation for suspected child maltreatment. Finally, we recognize that it is difficult to interpret small differences in measures of risk identified in our study. It is likely that a 2- or 3-point difference in many measures might not reflect meaningful differences for these households. The absence of even minimal differences in risk measures between investigated and noninvestigated subjects, however, relaxes the need to identify clinically important differences for our conclusions.

This cohort study provides an important perspective on the association between a CPS investigation for suspected child maltreatment and subsequent household, caregiver, and child risk. Our finding that CPS investigation is not associated with improvements in common, modifiable risk factors suggests that we may be missing an opportunity for secondary prevention.

Correspondence: Kristine A. Campbell, MD, MSc, Department of Pediatrics, University of Utah, 295 Chipeta Way, PO Box 581289, Salt Lake City, UT 84158 (kristine.campbell@hsc.utah.edu).

Accepted for Publication: April 14, 2010.

Online-Only Material: This article is featured in the Archives Journal Club. Go here to download teaching PowerPoint slides.

Author Contributions: Dr Campbell had full access to all of the data in the study and takes responsibility for the integrity of the data and the accuracy of the data analysis. Study concept and design: Campbell and LaFleur. Acquisition of data: Campbell. Analysis and interpretation of data: Campbell, Cook, LaFleur, and Keenan. Drafting of the manuscript: Campbell. Critical revision of the manuscript for important intellectual content: Campbell, Cook, LaFleur, and Keenan. Statistical analysis: Campbell, Cook, and LaFleur. Obtained funding: Campbell and Keenan. Study supervision: Keenan.

Financial Disclosure: None reported.

Funding/Support: Dr Campbell was supported by Public Health Services research grant UL1-RR025764 from the National Center for Research Resources.

Additional Contributions: We thank the faculty and staff of the Summer Research Institute at the National Data Archive on Child Abuse and Neglect (2008 and 2009) at Cornell University for assistance in project conceptualization and data preparation.

References
1.
Administration on Children, Youth and Families, US Department of Health and Human Services, Child Maltreatment 2007.  Washington, DC US Dept of Health & Human Services2009;
2.
Drake  BJonson-Reid  MWay  IChung  S Substantiation and recidivism.  Child Maltreat 2003;8 (4) 248- 260PubMedGoogle ScholarCrossref
3.
Flaherty  EGThompson  RLitrownik  AJ  et al.  Effect of early childhood adversity on child health.  Arch Pediatr Adolesc Med 2006;160 (12) 1232- 1238PubMedGoogle ScholarCrossref
4.
Hussey  JMMarshall  JMEnglish  DJ  et al.  Defining maltreatment according to substantiation: distinction without a difference?  Child Abuse Negl 2005;29 (5) 479- 492PubMedGoogle ScholarCrossref
5.
Jonson-Reid  MChance  TDrake  B Risk of death among children reported for nonfatal maltreatment.  Child Maltreat 2007;12 (1) 86- 95PubMedGoogle ScholarCrossref
6.
Widom  CSCzaja  SJDutton  MA Childhood victimization and lifetime revictimization.  Child Abuse Negl 2008;32 (8) 785- 796PubMedGoogle ScholarCrossref
7.
Hussey  JMChang  JJKotch  JB Child maltreatment in the United States: prevalence, risk factors, and adolescent health consequences.  Pediatrics 2006;118 (3) 933- 942PubMedGoogle ScholarCrossref
8.
Stirling  J  JrAmaya-Jackson  LAmerican Academy of Pediatrics; Committee on Child Abuse and Neglect and Section on Adoption and Foster Care; American Academy of Child and Adolescent Psychiatry; National Center for Child Traumatic Stress, Understanding the behavioral and emotional consequences of child abuse.  Pediatrics 2008;122 (3) 667- 673PubMedGoogle ScholarCrossref
9.
DePanfilis  DZuravin  SJ Rates, patterns, and frequency of child maltreatment recurrences among families known to CPS.  Child Maltreat 1998;3 (1) 27- 4210.1177/1077559598003001003Google ScholarCrossref
10.
Melton  GB Mandated reporting: a policy without reason.  Child Abuse Negl 2005;29 (1) 9- 18PubMedGoogle ScholarCrossref
11.
Hurlburt  MSLeslie  LKLandsverk  J  et al.  Contextual predictors of mental health service use among children open to child welfare.  Arch Gen Psychiatry 2004;61 (12) 1217- 1224PubMedGoogle ScholarCrossref
12.
Connelly  CDHazen  ALCoben  JHKelleher  KJBarth  RPLandsverk  JA Persistence of intimate partner violence among families referred to child welfare.  J Interpers Violence 2006;21 (6) 774- 797PubMedGoogle ScholarCrossref
13.
English  DJMarshall  DBBrummel  SOrme  M Characteristics of repeated referrals to Child Protective Services in Washington state.  Child Maltreat 1999;4 (4) 297- 30710.1177/1077559599004004003Google ScholarCrossref
14.
Lipien  LForthofer  MS An event history analysis of recurrent child maltreatment reports in Florida.  Child Abuse Negl 2004;28 (9) 947- 966PubMedGoogle ScholarCrossref
15.
Drake  BJonson-Reid  MSapokaite  L Re-reporting of child maltreatment: does participation in other public sector services moderate the likelihood of a second maltreatment report?  Child Abuse Negl 2006;30 (11) 1201- 1226PubMedGoogle ScholarCrossref
16.
Connell  CMBergeron  NKatz  KHSaunders  LTebes  JK Re-referral to Child Protective Services: the influence of child, family, and case characteristics on risk status.  Child Abuse Negl 2007;31 (5) 573- 588PubMedGoogle ScholarCrossref
17.
Fluke  JDShusterman  GRHollinshead  DMYuan  YY Longitudinal analysis of repeated child abuse reporting and victimization: multistate analysis of associated factors.  Child Maltreat 2008;13 (1) 76- 88PubMedGoogle ScholarCrossref
18.
Sledjeski  EMDierker  LCBrigham  RBreslin  E The use of risk assessment to predict recurrent maltreatment: a Classification and Regression Tree Analysis (CART).  Prev Sci 2008;9 (1) 28- 37PubMedGoogle ScholarCrossref
19.
Thompson  RWiley  TR Predictors of re-referral to Child Protective Services: a longitudinal follow-up of an urban cohort maltreated as infants.  Child Maltreat 2009;14 (1) 89- 99PubMedGoogle ScholarCrossref
20.
Chaffin  MBonner  BLHill  RF Family preservation and family support programs: child maltreatment outcomes across client risk levels and program types.  Child Abuse Negl 2001;25 (10) 1269- 1289PubMedGoogle ScholarCrossref
21.
Dumbrill  GC Parental experience of child protection intervention: a qualitative study.  Child Abuse Negl 2006;30 (1) 27- 37PubMedGoogle ScholarCrossref
22.
Flaherty  EGSege  RBinns  HJMattson  CLChristoffel  KKPediatric Practice Research Group, Health care providers' experience reporting child abuse in the primary care setting.  Arch Pediatr Adolesc Med 2000;154 (5) 489- 493PubMedGoogle ScholarCrossref
23.
Heneghan  AMHorwitz  SMLeventhal  JM Evaluating intensive family preservation programs: a methodological review.  Pediatrics 1996;97 (4) 535- 542PubMedGoogle Scholar
24.
Dagenais  CBégin  JBouchard  CFortin  D Impact of intensive family support programs: a synthesis of evaluation studies.  Child Youth Serv Rev 2004;26 (3) 249- 26310.1016/j.childyouth.2004.01.015Google ScholarCrossref
25.
Allin  HWathen  CNMacMillan  H Treatment of child neglect: a systematic review.  Can J Psychiatry 2005;50 (8) 497- 504PubMedGoogle ScholarCrossref
26.
Chaffin  MSilovsky  JFFunderburk  B  et al.  Parent-child interaction therapy with physically abusive parents: efficacy for reducing future abuse reports.  J Consult Clin Psychol 2004;72 (3) 500- 510PubMedGoogle ScholarCrossref
27.
Fantuzzo  JManz  PAtkins  MMeyers  R Peer-mediated treatment of socially withdrawn maltreated preschool children: cultivating natural community resources.  J Clin Child Adolesc Psychol 2005;34 (2) 320- 325PubMedGoogle ScholarCrossref
28.
Macmillan  HLWathen  CNBarlow  JFergusson  DMLeventhal  JMTaussig  HN Interventions to prevent child maltreatment and associated impairment.  Lancet 2009;373 (9659) 250- 266PubMedGoogle ScholarCrossref
29.
Ramchandani  PJones  DP Treating psychological symptoms in sexually abused children: from research findings to service provision.  Br J Psychiatry 2003;183484- 490PubMedGoogle ScholarCrossref
30.
Timmer  SGUrquiza  AJZebell  NM McGrath  JM Parent-child interaction therapy: application to maltreating parent-child dyads.  Child Abuse Negl 2005;29 (7) 825- 842PubMedGoogle ScholarCrossref
31.
Kohl  PLBarht  RP Child maltreatment recurrence among children remaining in-home: predictors of re-reports. Haskins  RWulczyn  FWebb  MB Child Protection. Using Research to Improve Policy and Protection. Washington, DC: Brookings Institute2007;207- 225Google Scholar
32.
Shlonsky  A Initial construction of an actuarial risk assessment measure using the National Survey of Child and Adolescent Well-being. Haskins  RWulczyn  FWebb  MB Child Protection Using Research to Improve Policy and Protection. Washington, DC: Brookings Institute2007;62- 80Google Scholar
33.
 Longitudinal Studies of Child Abuse and Neglect Web site. http://www.iprc.unc.edu/longscan/. Accessed January 5, 2009
34.
 Information about LONGSCAN sites and investigators. http://www.iprc.unc.edu/longscan/pages/siteinfo/index.htm. Accessed March 10, 2010
35.
Hunter  WMCox  CETeagle  S  et al.  Measures for Assessment of Functioning and Outcomes in Longitudinal Research on Child Abuse, Volume 1: Early Childhood.  Chapel Hill University of North Carolina at Chapel Hill2003;
36.
Hunter  WMCox  CETeagle  S  et al.  Measures for Assessment of Functioning and Outcomes in Longitudinal Research on Child Abuse, Volume 2: Middle Childhood.  Chapel Hill University of North Carolina at Chapel Hill2003;
37.
Silverstein  MAugustyn  MYoung  RZuckerman  B The relationship between maternal depression, in-home violence and use of physical punishment: what is the role of child behaviour?  Arch Dis Child 2009;94 (2) 138- 143PubMedGoogle ScholarCrossref
38.
Bugental  DBHappaney  K Predicting infant maltreatment in low-income families: the interactive effects of maternal attributions and child status at birth.  Dev Psychol 2004;40 (2) 234- 243PubMedGoogle ScholarCrossref
39.
Cadzow  SPArmstrong  KLFraser  JA Stressed parents with infants: reassessing physical abuse risk factors.  Child Abuse Negl 1999;23 (9) 845- 853PubMedGoogle ScholarCrossref
40.
Casey  PGoolsby  SBerkowitz  C  et al. Children's Sentinel Nutritional Assessment Program Study Group, Maternal depression, changing public assistance, food security, and child health status.  Pediatrics 2004;113 (2) 298- 304PubMedGoogle ScholarCrossref
41.
DePanfilis  DZuravin  SJ Predicting child maltreatment recurrences during treatment.  Child Abuse Negl 1999;23 (8) 729- 743PubMedGoogle ScholarCrossref
42.
Drake  BPandey  S Understanding the relationship between neighborhood poverty and specific types of child maltreatment.  Child Abuse Negl 1996;20 (11) 1003- 1018PubMedGoogle ScholarCrossref
43.
Daly  MCDuncan  GJ McDonough  PWilliams  DR Optimal indicators of socioeconomic status for health research.  Am J Public Health 2002;92 (7) 1151- 1157PubMedGoogle ScholarCrossref
44.
Jaudes  PKMackey-Bilaver  L Do chronic conditions increase young children's risk of being maltreated?  Child Abuse Negl 2008;32 (7) 671- 681PubMedGoogle ScholarCrossref
45.
Kotch  JBBrowne  DCDufort  VWinsor  J Predicting child maltreatment in the first 4 years of life from characteristics assessed in the neonatal period.  Child Abuse Negl 1999;23 (4) 305- 319PubMedGoogle ScholarCrossref
46.
Kotch  JBBrowne  DCRingwalt  CL  et al.  Risk of child abuse or neglect in a cohort of low-income children.  Child Abuse Negl 1995;19 (9) 1115- 1130PubMedGoogle ScholarCrossref
47.
Runyan  DKHunter  WMSocolar  RR  et al.  Children who prosper in unfavorable environments: the relationship to social capital.  Pediatrics 1998;101 (1, pt 1) 12- 18PubMedGoogle ScholarCrossref
48.
Saluja  GKotch  JLee  LC Effects of child abuse and neglect: does social capital really matter?  Arch Pediatr Adolesc Med 2003;157 (7) 681- 686PubMedGoogle ScholarCrossref
49.
Slack  KSHoll  JL McDaniel  MYoo  JBolger  K Understanding the risks of child neglect: an exploration of poverty and parenting characteristics.  Child Maltreat 2004;9 (4) 395- 408PubMedGoogle ScholarCrossref
50.
Zolotor  AJRunyan  DK Social capital, family violence, and neglect.  Pediatrics 2006;117 (6) e1124- e1131PubMedGoogle ScholarCrossref
51.
Rabe-Heketh  SSkrondal  A Multilevel and Longitudinal Modeling Using STATA. 2nd ed. College Station, TX Stata Press2008;
52.
Barth  RPGibbons  CGuo  S Substance abuse treatment and the recurrence of maltreatment among caregivers with children living at home: a propensity score analysis.  J Subst Abuse Treat 2006;30 (2) 93- 104PubMedGoogle ScholarCrossref
53.
Kitzman  HOlds  DLSidora  K  et al.  Enduring effects of nurse home visitation on maternal life course: a 3-year follow-up of a randomized trial.  JAMA 2000;283 (15) 1983- 1989PubMedGoogle ScholarCrossref
54.
Eyberg  SMRobinson  EA Parent-child interaction training: effects on family functioning.  J Clin Child Psychol 1982;11 (2) 130- 13710.1080/15374418209533076Google Scholar
×