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Context: Reducing the number of largely preventable and tragic deaths due to child maltreatment (CM) requires an understanding of the magnitude of and risk factors for fatal CM and targeted research, policy, and prevention efforts. Public health surveillance offers an opportunity to improve our understanding of the problem of CM. In 2006, the Centers for Disease Control and Prevention (CDC) funded state public health agencies in California, Michigan, and Oregon to implement a model approach for routine and sustainable CM surveillance and evaluated the experience of those efforts., Objective: We describe the experiences of 3 state health agencies in building collaborations and partnerships with multiple stakeholders for CM surveillance., Design: Qualitative, structured key informant interviews were carried out during site visits as part of an evaluation of a CDC-funded project to implement a model approach to CM surveillance., Participants: Key informants included system stakeholders from state health agencies, law enforcement, child protective services, the medical community, and child welfare advocacy groups in the 3 funded states., Results: Factors that facilitated stakeholder engagement for CM surveillance included the following: streamlining and coordinating the work of Child Death Review Teams (CDRTs); demonstrating the value of surveillance to non-public health partners; codifying relationships with participating agencies; and securing the commitment of decision-makers. Legislative mandates were helpful in bringing key stakeholders together, but it was not sufficient to ensure sustained engagement., Conclusions: The engagement process yielded multiple benefits for the stakeholders including a deeper appreciation of the complexity of defining CM; a greater understanding of risk factors for CM; and enhanced guidance for prevention and control efforts. States considering or currently undertaking CM surveillance can glean useful insights from the experiences of these 3 states and apply them to their own efforts to engage stakeholders.

Background: Public health surveillance was established for nonfatal child maltreatment in Missouri using two data sources. This paper describes the epidemiology of nonfatal child maltreatment using this surveillance system, and assesses the usefulness of combining medical data with child protective services (CPS) reports for child maltreatment surveillance., Methods: Child abuse and neglect reports for children aged <10 years for 2000 were obtained from the Missouri Division of Family Services (DFS) and linked to hospital discharge and emergency department (ED) data for 2000. Children were classified as maltreated if they had an International Classification of Disease (ICD) maltreatment code for a hospital or ED visit, or a substantiated report to DFS. Validity of the ICD maltreatment codes was assessed in a 10% random sample of the hospital/ED visits. Medical records were reviewed to determine the accuracy of the maltreatment code assigned. The data analyses reported here were conducted in 2002 and 2003., Results: In the linked data, 5657 children met the case definition of maltreatment, providing a nonfatal maltreatment rate of 7.4/1000 children. Rates were higher among children aged <1 year (8.4/1000), females (7.7/1000), African Americans (11.8/1000), and children residing in rural counties (8.7/1000). The hospital/ED data identified proportionately more children who were African American, urban, physically abused, or infants, and uniquely identified only 10% of the total cases. In the validation sample, maltreatment was documented in 110 (87%) of the 127 records reviewed., Conclusions: CPS and medical data can be linked for surveillance. However, the medical data add few unique cases and identify only a subset of maltreated children.

Objective: In order to be reimbursed for the care they provide, hospitals in the United States are required to use a standard system to code all discharge diagnoses: the International Classification of Disease, 9th Revision, Clinical Modification (ICD-9). Although ICD-9 codes specific for child maltreatment exist, they do not identify all maltreatment-related hospital and emergency department discharges. To increase the usefulness of medical data for public health surveillance of child maltreatment, this project sought to identify ICD-9 codes that are suggestive of child maltreatment. Methods: After review of the literature and discussions with experts, injuries and conditions that should raise suspicion of child maltreatment (physical or sexual abuse or neglect) were identified and a list of corresponding ICD codes was compiled. Using a statewide electronic database of hospital discharges and emergency department (ED) visits for the year 2000, visits by children assigned these ICD codes were identified, a sample of visits was selected, and medical records were reviewed to assess the circumstances of the injury or illness that led to the visit. Based on information in the medical record, the injury or illness was classified as maltreatment-related, or not. Results: There were 3,684 visits selected for review. Of these, 2,826 records were reviewed and classified; 1,200 (43%) records met the criteria for being maltreatment-related, 1,419 (50%) contained adequate information indicating the injury/condition was not likely maltreatment-related, and 207 (7%) records did not contain enough information to classify. Sixty-eight ICD codes had greater than 66% of visits classified as maltreatment-related, the "a priori" criteria for a code to be considered suggestive of maltreatment. Codes suggestive of maltreatment include specific fractures, burns, and injuries of undetermined intent, among others. Conclusion: Several ICD codes were found that, when used with age restrictions and other specific exclusion criteria, are suggestive of maltreatment. This information may increase the usefulness of hospital discharge data for public health surveillance of child maltreatment. Practice implications: Use of these suggestive codes facilitates identifying conditions and injuries that are likely maltreatment-related in hospital discharge and ED visit data. When used in conjunction with ICD maltreatment-specific codes, these suggestive codes may enhance the use of medical data for monitoring child maltreatment trends. (Contains 6 tables.)

Fatal child maltreatment is a compelling problem in the United States. National estimates of fatal child maltreatment, based largely on child welfare data, have fluctuated around 1,500 deaths annually for [...]

Objectives. We sought to describe approaches to surveillance of fatal child maltreatment and to identify options for improving case ascertainment. Methods. Three states--California, Michigan, and Rhode Island--used multiple data sources for surveillance. Potential cases were identified, operational definitions were applied, and the number of maltreatment deaths was determined. Results. These programs identified 258 maltreatment deaths in California, 192 in Michigan, and 60 in Rhode Island. Corresponding maltreatment fatality rates ranged from 2.5 per 100000 population in Michigan to 8.8 in Rhode Island. Most deaths were identified by child death review teams in Rhode Island (98%), Uniform Crime Reports in California (56%), and child welfare agency data in Michigan (44%). Compared with the total number of cases identified, child welfare agency (the official source for maltreatment reports) and death certificate data underascertain child maltreatment deaths by 55% to 76% and 80% to 90%, respectively. In all 3 states, more than 90% of cases ascertained could be identified by combining 2 data sources. Conclusions. No single data source was adequate for thorough surveillance of fatal child maltreatment, but combining just 2 sources substantially increased case ascertainment. The child death review team process may be the most promising surveillance approach. (Am J Public Health. 2008;98:296-303. doi:10.2105/AJPH.2006.087783)

Background: Child maltreatment is a major public health problem, but population-based surveillance and research is hindered by limitations of official child welfare data. The present study used a promising complementary data source, hospital discharge data, to investigate risk factors for infant injuries suggestive of maltreatment.Methods: Discharge data from all hospital births to New York City residents from 1995 to 2004 were linked to birth certificates and to subsequent infant hospitalizations within 12 months after delivery. Probable maltreatment of infants was identified with 33 injury diagnosis codes highly correlated with maltreatment. Modified Poisson regression estimated the association of sociodemographic factors and pregnancy/birth characteristics with subsequent infant admission for probable maltreatment.Results: Risk factors for maltreatment included neonatal intensive care unit stays of more than 11 days (adjusted risk ratio [aRR] = 1.8; 95% confidence interval [CI]: 1.1-2.8), preterm birth (aRR = 1.6; 95% CI: 1.2-2.1), maternal age less than 20 years (aRR = 1.5; 95% CI: 1.2-1.9), and public insurance (aRR = 1.5; 95% CI: 1.2-1.9). Factors associated with reduced maltreatment risk included mother born outside the United States (aRR = 0.7; 95% CI: 0.6-0.8) and female infant (aRR = 0.7; 95% CI: 0.6-0.9).Conclusions: Sociodemographic factors and challenges at birth (preterm, neonatal intensive care unit stays) are important risk factors for subsequent maltreatment-related hospitalization, with potential implications for prevention targeting. [ABSTRACT FROM AUTHOR]