Search

Purpose: To study familial factors associated with child maltreatment in a birth population, Alaska piloted a mixed-design method that linked child welfare data with the Pregnancy Risk Assessment Monitoring System (PRAMS). We replicated this approach in Oregon and validated it in both states., Methods: We linked vital records, child welfare, and PRAMS data to create two 2009 birth cohorts for each state: one based on vital records (full birth cohort) and one on PRAMS (stratified random sample). For each cohort, we estimated the incidence proportions (IP) of child maltreatment before age 9 years and compared those estimated using PRAMS with those observed using the full birth cohort., Results: The Oregon PRAMS cohort estimated that 28.7% (95% CI: 24.0, 33.4), 20.9% (17.1, 24.7), and 8.3% (6.0, 10.5) of children experienced an alleged, investigated, and substantiated maltreatment, respectively, versus 32.0%, 25.0%, and 9.9% from the birth cohort. The corresponding Alaska estimates were 29.1% (26.1, 32.0), 22.6% (19.9, 25.2), and 8.3% (6.7, 9.9) of children from the PRAMS cohort versus 29.1%, 23.5%, and 9.1% in the birth cohort., Conclusions: The IP of child maltreatment in two states was accurately estimated with PRAMS cohorts. Researchers can study a comprehensive set of factors that may influence child maltreatment by incorporating PRAMS into birth cohort linkages., Competing Interests: Declaration of Competing Interest The authors declare the following financial interests/personal relationships which may be considered as potential competing interests: Abigail Newby-Kew reports financial support was provided by the U.S. Department of Health & Human Services., (Copyright © 2023 Elsevier Inc. All rights reserved.)

Introduction: Preventing child maltreatment and reducing adverse childhood experiences is critical for improving adult health. To inform prevention efforts, it is necessary to move beyond static risk models and instead model the dynamic changes in household challenges during the prebirth and early childhood periods. This study examined the effect of changes in the number of household challenges from prebirth (12 months before birth of a child) to early childhood (3 years after birth) period on the risk of a child maltreatment report by age 3 years., Methods: This retrospective cohort study linked data from the Alaska 2009-2011 Pregnancy Risk Assessment Monitoring System, its 3-year follow-up survey, and administrative records through 2019. Participants were 1,699 birthing parents. Latent class analyses identified prebirth and early childhood low- and high-challenge respondent groups on the basis of the level of reported household challenges. The authors then modeled the relationships between group transition membership and the risk of maltreatment using latent transition analysis. Analyses were conducted in 2021., Results: Households transitioning from a high-challenge-prebirth status to a low-challenge-early-childhood status had a lower predicted risk for child services report than households remaining in the high-challenges group. Transitioning from low- to high-challenges status predicted the highest risk for child services report than that of all other groups., Conclusions: To reduce the risk of child maltreatment and subsequent adverse childhood experiences, healthcare providers should screen parents for the presence of household challenges during both pregnancy and early childhood and connect patients to resources targeted at reducing those challenges and providing continuous familial support., (Copyright © 2022 American Journal of Preventive Medicine. Published by Elsevier Inc. All rights reserved.)

Introduction: Measuring and comparing the incidence of child maltreatment is challenging. Linkage of statewide birth cohorts with Child Protective Services reports to study incident child maltreatment over the life course are becoming more common. This study compares the reported incidence between 2 states derived from population-based administrative data linkages., Methods: Linked births (2009-2011) with Child Protective Services records (2009-2015) and deaths in each state were used to compare the cumulative incidence of a Child Protective Services report before age 7 years. Given differences in population race structure and documented disparities of race groups in Child Protective Services data, variation was adjusted for using direct standardization. Unadjusted cumulative incidence, race cumulative incidence, and race-adjusted cumulative incidence were compared. Analyses were completed in 2018., Results: Before age 7 years, 26.0% of Alaskan children and 19.0% of Californian children were reported to Child Protective Services (RR=1.37, p<0.001). Aside from Asian/Pacific Islanders, the cumulative incidence between states was similar for each race. The race-adjusted cumulative incidence indicated that children born in Alaska were 1.10 times as likely to experience a report before age 7 years compared with children in California., Conclusions: Much of the difference in risk for child maltreatment observed between Alaska and California is most likely due to variation in the population structure by race as opposed to modifiable factors. Standardization is a simple method to adjust for population structure differences. This study contributes to the growing body of knowledge regarding the use of linked administrative data to study maltreatment and provides insights into considerations for making comparisons or conducting cross-jurisdictional analyses based on commonly aligned data sets., (Copyright © 2020 American Journal of Preventive Medicine. Published by Elsevier Inc. All rights reserved.)

Objectives: Our objective was to identify preconception and prenatal predictors of early experiences of co-occurring risk and protective factors to help target prevention efforts to the highest-need families prior to the birth of the child., Methods: Data were from the Alaska Longitudinal Child Abuse and Neglect Linkage project and the 2012-2014 Alaska Child Understanding Behaviors Survey. We used latent class analysis and Vermunt's three-step approach to examine predictors of latent classes of risk and protective factors among Alaska children., Results: Among children of Alaska Native/American Indian mothers, financial (OR 2.02, 95% CI 1.04, 3.90) and partner stress (OR 2.06, 95% CI 1.02, 4.10) prior to childbirth, maternal education < 12 years (OR 2.29, 95% CI 1.05, 4.96), and maternal substance use (OR 2.52, 95% CI 1.30, 4.89) were associated with a higher likelihood of membership in a high risk/moderate protection class as compared to a low socioeconomic status/high protection class. Among children of non-Native mothers, partner stress prior to childbirth (OR 3.92, 95% CI 1.08, 14.19), maternal education < 12 years (OR 2.69, 95% CI 1.24, 5.81), maternal substance use (OR 2.69, 95% CI 1.24, 5.81), younger maternal age (OR 0.87, 95% CI 0.80, 0.95), and a greater number of children (OR 1.62, 95% CI 1.09, 2.41) were associated with a higher likelihood of membership in a moderate risk/high protection class as compared to a low risk/moderate protection class., Conclusions: Results can inform eligibility criteria for prenatal home visiting programs and prenatal screening in Alaska to ensure prevention programming and referrals are directed to families most in need of additional support.

We examined preconception and prenatal predictors of time to first child protective services (CPS) contact among Alaska children. Data were from the Alaska Longitudinal Child Abuse and Neglect Linkage (ALCANLink) project, a population-representative data source linking 2009-2011 Alaska Pregnancy Risk Assessment Monitoring System (PRAMS) data with administrative data sources through 2015. We examined the incidence CPS contact using the Kaplan-Meier method and predictors of CPS contact using Cox proportional hazards regression. Using data from the Alaska Permanent Fund Dividend and Child Death Review, we censored children who emigrated out-of-state or died during the study period. Significant predictors included low socioeconomic status (HR = 2.23, 95% CI 1.68, 2.96), maternal smoking during pregnancy (HR = 1.87, 95% CI 1.55, 2.24), unmarried maternal marital status (HR = 1.62, 95% CI 1.31, 1.99), urban residence (HR = 1.59, 95% CI 1.32, 1.92), lower maternal education (HR = 1.54, 95% CI 1.24, 1.92), maternal experience of intimate partner violence in the 12 months before childbirth(HR = 1.32, 95% CI 1.01, 1.74), Alaska Native/American Indian race (HR = 1.40, 95% CI 1.15, 1.71), a greater number of living children (HR = 1.20, 95% CI 1.13, 1.29), a greater number of stressful life eventsin the 12 months before childbirth (HR = 1.16, 95% CI 1.11, 1.21), and younger maternal age at childbirth (HR = 0.95, 95% CI 0.93, 0.97). Use of multiple linked data sources and time-to-event analysis methods adds to the growing literature regarding predictors of CPS contact. Results suggest that assessing for and addressing clinical, social, and environmental indicators during the prenatal period may aid prevention efforts in mitigating family need for involvement with CPS., (Copyright © 2018 Elsevier Ltd. All rights reserved.)

Accurate estimation of the incidence of maltreatment-related child mortality depends on reliable child fatality review. We examined the inter-rater reliability of maltreatment designation for two Alaskan Child Death Review (CDR) panels. Two different multidisciplinary CDR panels each reviewed a series of 101 infant and child deaths (ages 0-4 years) in Alaska. Both panels independently reviewed identical medical, autopsy, law enforcement, child welfare, and administrative records for each death utilizing the same maltreatment criteria. Percent agreement for maltreatment was 64.7% with a weighted Kappa of 0.61 (95% CI 0.51, 0.70). Across maltreatment subtypes, agreement was highest for abuse (69.3%) and lowest for negligence (60.4%). Discordance was higher if the mother was unmarried or a smoker, if residence was rural, or if there was a family history of child protective services report(s). Incidence estimates did not depend on which panel's data were used. There is substantial room for improvement in the reliability of CDR panel assessment of maltreatment related mortality. Standardized decision guidance for CDR panels may improve the reliability of their data., (Copyright © 2017 Elsevier Ltd. All rights reserved.)

Objective: To examine national, regional, and state abusive head trauma (AHT) trends using child hospital discharge data by applying a new coding algorithm developed by the Centers for Disease Control and Prevention (CDC)., Methods: Data from 4 waves of the Kids' Inpatient Database and annual discharge data from North Carolina were used to determine trends in AHT incidence among children <1 year of age between 2000 and 2009. National, regional, and state incidence rates were calculated. Poisson regression analyses were used to examine national, regional, and state AHT trends., Results: The CDC narrow and broad algorithms identified 5437 and 6317 cases, respectively, in the 4 years of KID weighted data. This yielded average annual incidences of 33.4 and 38.8 cases per 100,000 children <1 year of age. There was no statistically significant change in national rates. There were variations by region of the country, with significantly different trends in the Midwest and West. State data for North Carolina showed wide annual variation in rates, with no significant trend., Conclusions: The new coding algorithm resulted in the highest AHT rates reported to date. At the same time, we found large but statistically insignificant annual variations in AHT rates in 1 large state. This suggests that caution should be used in interpreting AHT trends and attributing changes in rates as being caused by changes in policies, programs, or the economy.

Background: Child maltreatment has been linked to multiple negative health outcomes and many leading causes of death. Statewide population-based evaluations are needed to identify high-risk populations early in life for targeted interventions., Purpose: To assess the utility of combining Pregnancy Risk Assessment Monitoring System (PRAMS) data with child protective services (CPS) records to identify risk factors associated with Protective Services Reports (PSR) suggestive of child maltreatment., Methods: This was a retrospective population-based cohort study conducted in the spring of 2010 using weighted survey data from Alaska PRAMS for birth years 1997-1999. PRAMS responses were linked with CPS records for the sampled child. The outcome of interest was any PSR made to CPS after the survey was returned through 48 months after birth. Validation of the PRAMS data set occurred through direct comparison between the total population and PRAMS weighted sample for birth certificate factors. Multivariate logistic regression models were constructed to identify risk groups., Results: In the final multivariate model among the main effect variables, three of the top five strongest associated factors were derived all or in part from PRAMS. Public aid as a source of income had a significant interaction with Alaska Native status, and among Alaska non-Natives had an AOR of 3.37 (95% CI=2.2, 5.1). Six significant modifiable factors were identified in the multivariate model. Three quarters (75%) of the maltreatment cases occurred among children with two or more of these factors, despite being found in about one third (32%) of the total population., Conclusions: Although birth certificates remained a valuable source of risk factor information for child maltreatment, PRAMS identified additional risk factors not available from birth certificates., (Copyright © 2011 American Journal of Preventive Medicine. Published by Elsevier Inc. All rights reserved.)

Objectives: Parental involvement can affect child school readiness, which in turn influences subsequent child learning outcomes. While social support, stress, caregiver psychological distress, and drinking could affect parental involvement, it is unknown whether and how these factors influence downstream child learning outcomes through parental involvement and child school readiness. This study tests those associations. Methods: Using de-identified data provided by the Alaska Longitudinal Child Abuse and Neglect Linkage project (N = 683), we use Structural Equation Modeling to assess direct and indirect effects of paths embedded in the proposed model. Results: This study found statistically significant indirect effects: (1) path linking stress faced by caregivers to child reading proficiency through caregiver psychological distress, parental involvement, and child school readiness, (2) path linking stress faced by caregivers to child reading proficiency through caregiver drinking, parental involvement, and child school readiness, and (3) path linking social support for caregivers to child reading proficiency through caregiver psychological distress, parental involvement, and child school readiness. Post-estimation showed that the sum of the magnitude of total effects of stress and the magnitude of total effects of support is significantly larger than either alone. Conclusions for Practice: Findings suggest that reducing caregiver stress and offering social support could not only benefit caregivers but learning outcomes of their children as well. For child learning outcomes, simultaneously reducing stress and offering social support for caregivers, rather than just one of them alone, is suggested. These results are important for children, particularly for those raised by caregivers experiencing psychological distress or drinking issues. Significance: What is known about this subject?: Social support, stress, caregiver psychological distress, and drinking affect parental involvement. Parental involvement affects child school readiness, which in turn influences subsequent child learning outcomes. What this study adds?: This study adds knowledge about whether and how social support, stress, caregiver psychological distress, and drinking can have downstream influences on child learning outcomes through parental involvement and child school readiness. Findings are expected to inform current policies or interventions that aim to simultaneously target needs of parents and their children, rather than just either alone. [ABSTRACT FROM AUTHOR]

Research suggests that breastfeeding may reduce child maltreatment risk. Alaska has high rates of both breastfeeding initiation and maltreatment reports to Child Protective Services (CPS). The present study assessed any and exclusive breastfeeding duration and child maltreatment reports to CPS among Alaskan mother-infant dyads, controlling for demographics and shared risk factors. We used a prospective, population-representative dataset linking 2009–2011 Alaska Pregnancy Risk Assessment Monitoring System (PRAMS) data with 2009–2016 Alaska CPS and administrative state data (n = 3,459). Breastfeeding duration was derived from PRAMS breastfeeding questions and categorized as never, < 1 weeks, 1—9 weeks, and ≥ 10 weeks. Age at first report of maltreatment to Alaska CPS included physical or sexual abuse, neglect, or mental injury. Hazard ratios and 95% confidence intervals (CI) were calculated using Cox proportional hazard models, adjusting for confounders. There was no increase in risk of maltreatment report among children never breastfed compared to those breastfed for ≥ 10 weeks. Risk of maltreatment report during the observation period was 1.7 times as high among children breastfed for < 1 week (CI: 1.06, 2.73), and 1.5 times as high among those breastfed for 1–9 weeks (CI: 1.17, 1.80), compared to those breastfed for ≥ 10 weeks. Estimates were attenuated for exclusive breastfeeding. Feeding method did not predict maltreatment reports in this population. Among mothers who initiated breastfeeding, shorter duration was associated with elevated risk of maltreatment reports. Addressing factors that facilitate or prohibit sustained breastfeeding may reduce risk of child maltreatment reports. [ABSTRACT FROM AUTHOR]