A retrospective epidemiological analysis of non-accidental head injury in children in Scotland over a 15 year period

Violence in the Great Recession

Substantial evidence suggests that economic hardship causes violence. However, a large majority of this research relies on observational studies that use traditional violence surveillance systems that suffer from selection bias and over-represent vulnerable populations, such as people of color. To overcome limitations of prior work, we employed a quasi-experimental design to assess the impact of the Great Recession on explicit violence diagnoses (injuries identified to be caused by a violent event) and proxy violence diagnoses (injuries highly correlated with violence) for child maltreatment, intimate partner violence, elder abuse, and their combination. We used Minnesota hospital data (2004-2014), conducting a difference-in-differences analysis at the county level (n = 86) using linear regression to compare changes in violence rates from before the recession (2004-2007) to after the recession (2008-2014) in counties most affected by the recession, versus changes over the same time period in counties less affected by the recession. The findings suggested that the Great Recession had little or no impact on explicitly identified violence; however, it affected proxy-identified violence. Counties that were more highly affected by the Great Recession saw a greater increase in the average rate of proxy-identified child abuse, elder abuse, intimate partner violence, and combined violence when compared with less-affected counties.

Measuring the hidden burden of violence: use of explicit and proxy codes in Minnesota injury hospitalizations, 2004-2014

PURPOSE

Commonly-used violence surveillance systems are biased towards certain populations due to overreporting or over-scrutinized. Hospital discharge data may offer a more representative view of violence, through use of proxy codes, i.e. diagnosis of injuries correlated with violence. The goals of this paper are to compare the trends in violence in Minnesota, and associations of county-level demographic characteristics with violence rates, measured through explicitly diagnosed violence and proxy codes. It is an exploration of how certain sub-populations are overrepresented in traditional surveillance systems.

METHODS

Using Minnesota hospital discharge data linked with census data from 2004 to 2014, this study examined the distribution and time trends of explicit, proxy, and combined (proxy and explicit) codes for child abuse, intimate partner violence (IPV), and elder abuse. The associations between county-level risk factors (e.g., poverty) and county violence rates were estimated using negative binomial regression models with generalized estimation equations to account for clustering over time.

RESULTS

The main finding was that the patterns of county-level violence differed depending on whether one used explicit or proxy codes. In particular, explicit codes suggested that child abuse and IPV trends were flat or decreased slightly from 2004 to 2014, while proxy codes suggested the opposite. Elder abuse increased during this timeframe for both explicit and proxy codes, but more dramatically when using proxy codes. In regard to the associations between county level characteristics and each violence subtype, previously identified county-level risk factors were more strongly related to explicitly-identified violence than to proxy-identified violence. Given the larger number of proxy-identified cases as compared with explicit-identified violence cases, the trends and associations of combined codes align more closely with proxy codes, especially for elder abuse and IPV.

CONCLUSIONS

Violence surveillance utilizing hospital discharge data, and particularly proxy codes, may add important information that traditional surveillance misses. Most importantly, explicit and proxy codes indicate different associations with county sociodemographic characteristics. Future research should examine hospital discharge data for violence identification to validate proxy codes that can be utilized to help to identify the hidden burden of violence.

Abusive head trauma among children in Alaska: a population-based assessment

BACKGROUND

Serious physical abuse resulting in a traumatic brain injury (TBI) has been implicated as an underreported cause of infant mortality. Nearly 80% of all abusive head trauma (AHT) occurs among children <2 years of age, with infants experiencing an incidence nearly 8 times that of 2-year olds.

OBJECTIVE

This study describes the validation of the CDC Pediatric Abusive Head Trauma (PAHT) definitions when applied to a multi-source database at the state level and provides a robust annual incidence estimate of AHT among children <2 years of age in Alaska.

DESIGN

AHT cases among children residing in Alaska during 2005-2010 were identified by applying the PAHT coding schema to a multi-source database which included vital death records, the Violent Death Reporting System (AK-VDRS), the Maternal Infant Mortality Review - Child Death Review (MIMR-CDR), the Alaska Trauma Registry (ATR), the inpatient Hospital Discharge Database (HDD) and Medicaid claims. Using these data, we calculated statewide AHT annual incidence rates.

RESULTS

The databases with the highest case capture rates were the ATR and Medicaid systems, both at 51%, followed by HDD at 38%. Combined, the ATR, HDD and Medicaid systems captured 91% of all AHT cases. The linkage and use of the PAHT definitions yielded an estimated sensitivity of 91% and specificity of 98%. During the study period, we detected an annual average incidence of 34.4 cases per 100,000 children aged <2 years (95% CI 25.1, 46.1) and a case fatality proportion of 22% (10/45). Among the AHT cases, 82% were infants. Significant differences (p < 0.05) in AHT were noted by age and race, but not by sex.

CONCLUSIONS

In Alaska, applying the CDC PAHT definition to the multi-source database enabled us to capture 49% more AHT cases than any of the individual database used in this analysis alone.

Detection, diagnosis, and prevention of child abuse: the role of the pediatrician

It is the pediatrician's role to promote the child's well-being and to help parents raise healthy, well-adjusted children. Today's pediatricians are confronted with a patient population in which there is a high prevalence of child abuse in its different presentations (physical, sexual, and psychological abuse and/or neglect). The immediate and long-term consequences of child abuse often are lifelong and even life-threatening in its most dramatic presentation. Unfortunately, detection of child abuse remains a difficult challenge for many physicians but also for the "well-trained" pediatrician, leaving many abused children unreported. This paper addresses the important role pediatricians can play in the detection, diagnosis, and prevention of child maltreatment.

Diagnostic coding of abuse related fractures at two children's emergency departments

OBJECTIVES

Pediatric fractures suspicious for abuse are often evaluated in emergency departments (ED), although corresponding diagnostic coding for possible abuse may be lacking. Thus, the primary objective of this study was to determine the proportion of fracture cases investigated in the ED for abuse that had corresponding International Classification of Diseases (ICD) codes documenting abuse suspicion. Additional objectives were to determine the proportion of these fractures with admission ICD abuse coding, and physician text diagnoses recording abuse suspicion in the ED and/or admission notes. Factors possibly associated with abuse-related ED ICD codes were also examined.

METHODS

Children less than three years of age that presented primarily with a fracture to two large academic children's hospitals from 1997 to 2007 and were evaluated for suspicion of abuse by child protective services were included in this retrospective review. The main outcome measure was the proportion of the fracture cases that had abuse suspicion reflected in ED discharge ICD codes.

RESULTS

Of the 216 eligible patients, only 23 (11.5%) patients had ED ICD codes that included the possibility of abuse. Forty-nine (22.7%) had the possibility for abuse documented by physicians as an ED discharge diagnosis. In addition, 53/149 (35.6%) of all admitted patients and 34/55 (61.8%) of confirmed abuse cases included abuse-related admission ICD coding. Female gender was found to be a factor associated with ED ICD abuse codes.

CONCLUSION

Current standards of ICD coding result in a significant underestimate of the prevalence of children assessed in the ED and hospital wards for possible and confirmed abusive fracture(s).

The utility and challenges of using ICD codes in child maltreatment research: A review of existing literature

OBJECTIVE

The objectives of this article are to explore the extent to which the International Statistical Classification of Diseases and Related Health Problems (ICD) has been used in child abuse research, to describe how the ICD system has been applied, and to assess factors affecting the reliability of ICD coded data in child abuse research.

METHODS

PubMed, CINAHL, PsychInfo and Google Scholar were searched for peer reviewed articles written since 1989 that used ICD as the classification system to identify cases and research child abuse using health databases. Snowballing strategies were also employed by searching the bibliographies of retrieved references to identify relevant associated articles. The papers identified through the search were independently screened by two authors for inclusion, resulting in 47 studies selected for the review. Due to heterogeneity of studies meta-analysis was not performed.

RESULTS

This paper highlights both utility and limitations of ICD coded data. ICD codes have been widely used to conduct research into child maltreatment in health data systems. The codes appear to be used primarily to determine child maltreatment patterns within identified diagnoses or to identify child maltreatment cases for research.

CONCLUSIONS

A significant impediment to the use of ICD codes in child maltreatment research is the under ascertainment of child maltreatment by using coded data alone. This is most clearly identified and, to some degree, quantified, in research where data linkage is used.

PRACTICE IMPLICATIONS

The importance of improved child maltreatment identification will assist in identifying risk factors and creating programs that can prevent and treat child maltreatment and assist in meeting reporting obligations under the CRC.

A review of social factors in the investigation and assessment of non-accidental head injury to children

Investigation and assessment work in non-accidental head injury cases is complex and challenging. This article discusses briefly the professional systems involved and the conditions necessary for effective practice. It then reviews briefly the literature on social factors in serious and fatal child abuse in order to provide a context for discussion of recent UK studies of non-accidental head injuries/shaken baby syndrome. The findings on social factors are compared and areas for further research are suggested. The article then considers how best to use the existing knowledge base about these cases within assessment frameworks currently in use and considers issues in presenting assessment conclusions to decision-makers.

What are we trying to measure? The problems of case ascertainment

To determine the incidence of a particular phenomenon, one has to know how that phenomenon is defined. The term "shaken baby syndrome" (SBS) came into general usage in the 1980s, followed by shaken impact syndrome (SIS), inflicted childhood neurotrauma, abusive head trauma (AHT), inflicted traumatic brain injury (inflicted TBI), non-accidental head injury (NAHI), and others. Several means of defining this clinical syndrome have been suggested. Keenan has proposed a research definition. Minns has offered a pure clinical definition, and Livingston and Childs suggest a definition that combines the clinical and radiologic features with the history of events leading to the condition. By using these definitions, eight articles describing SBS, published in the last 20 years, were analyzed for these characteristics. A definition of shaken baby syndrome reflecting the common themes in these clinical reports is offered.

Incidence and demography of non-accidental head injury in southeast Scotland from a national database

BACKGROUND

This study utilized an existing national database of cases of non-accidental head injury (NAHI; also called inflicted traumatic brain injury [inflicted TBI] and shaken baby syndrome [SBS]) in Scotland to report the incidence, confidence intervals, and demography of such cases in Southeast Scotland.

METHODS

This prospective population-based study was conducted from January 1998 to September 2006. Data from the Lothian region of Scotland, where there is known full ascertainment of infant head injuries, including NAHI, have been used to calculate the incidence rate for this region of Scotland, with government statistics providing the normal annual infant population as the denominator. A new Scottish Index of Multiple Deprivation (SIMD), which assesses a very focused area (data zone population size=750) and provides novel information about social demography for education, housing, employment, health, crime, income, and geographic accessibility to services, was applied to the identified cases of NAHI during this study period.

RESULTS

The mean incidence of NAHI in southeast Scotland for 8.75 years was 33.8/100,000 infants per year. The cases of NAHI were mostly located in the lowest 1 (or 2) quintiles for all SIMD domains (education, housing, employment, health, crime, income), although they had good accessibility to medical and other community services.

CONCLUSIONS

The incidence rates from this prospective study for NAHI are considerably higher than other published UK surveys and are not considered to reflect a cluster effect. The perpetrators in this study fit a strongly skewed profile aggregating to the lowest socioeconomic groups in the community.

A survey of non-accidental injury imaging in England, Scotland and Wales

AIM

To identify the potential national variation in non-accidental injury (NAI) imaging in England, Scotland and Wales.

MATERIALS AND METHODS

A postal survey was sent to 323 hospitals with both paediatric and radiology departments. These were identified by a search through the Medical Directory.

RESULTS

One hundred and thirteen of 323 postal questionnaires were returned within the study period (35%). Sixteen were excluded from the study because either no NAI imaging was performed at that institution or an incorrect address had been used. The total number of completed questionnaires was 97 (30%). Extensive variation was seen in all aspects of NAI imaging including imaging techniques used, total case numbers, follow-up imaging and those who report the NAI imaging.

CONCLUSIONS

There is currently no national protocol that incorporates all aspects of NAI imaging in England, Scotland and Wales. Extensive variation in practice has been shown by this survey. Further standardization of NAI imaging practice is required. The draft BSPR skeletal survey guidelines and routine neurological imaging is recommended.

Annual incidence of shaken impact syndrome in young children

We looked at the incidence and demography of nonaccidental head injury in children in a prospective population-based study of paediatric units in Scotland during 1998-99. Shaken impact syndrome occurs with an annual incidence of 24.6 per 100000 children younger than 1 year (95% CI 14.9-38.5). Cases are more common in urban regions, and during autumn and winter months. The risk of a child suffering non-accidental head injury by age 1 year is one in 4065. These brain injuries occur almost exclusively in young infants (median age 2.2 months).