Findings from current measuring system
Passive Surveillance of Shaken Baby Syndrome Using Hospital Inpatient Data

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Background

The conference from which these articles came addressed the question of public health surveillance for shaken baby syndrome (SBS) and explores one component of a comprehensive SBS surveillance system that would be relatively easy to implement and maintain: passive surveillance based on hospital inpatient data. Provisional exclusion and inclusion criteria are proposed for a two-level case definition of diagnosed SBS (strict definition) and cases presumed to be SBS (broad definition). The strict SBS definition is based on the single SBS code in the ICD-9-CM (995.55). The broader presumptive SBS definition is based on research studies that have identified a pattern of diagnostic codes often considered part of the clinical diagnosis of SBS.

Results

Based on 2006 analyses, California inpatient data are presented for 1998–2004. The strict SBS definition identified 366 cases over the 7 years, whereas the broader definition captured nearly 1000 cases. Annual rates show little fluctuation from the overall rate of 5.1 for strict SBS and 14.0 for broad SBS (per 100,000 children aged <2 years). Selected demographic and outcome characteristics are presented for each definition. The broad definition produces rates that are roughly comparable to those produced in careful clinical and population-based studies that also included children who died without being hospitalized.

Conclusions

Despite the limitations of inpatient data, a passive surveillance system like the one proposed here can provide a critical component for a comprehensive SBS surveillance system and may be adequate for some purposes, including identifying high-risk areas or groups for intervention and monitoring trends over time.

Introduction

In the last 30 or so years, researchers have published many papers on shaken baby syndrome (SBS), also known as inflicted traumatic brain injury (inflicted TBI). This literature describes the nature of SBS and its risk factors, giving a reasonably clear picture of this phenomenon, how it occurs, and its effects. For example, SBS, or also referred to as abusive head trauma, is an extremely serious form of physical abuse occurring primarily in infants and young children aged <2 years and accounts for the vast majority of fatal and life-threatening injuries caused by child abuse. The outcomes of SBS are often devastating, with high case-fatality rates (15% to 38%) and incidence of neurologic consequences.1, 2, 3 Recent estimates suggest incidence rates for infants of 24.6 to 29.7 per 100,000 infants, and 17.0 per 100,000 for children aged <2 years.4, 5

As this body of knowledge continues to develop, the question is raised of how to conduct surveillance for SBS. Public health surveillance is the continuing and routine gathering of information useful for understanding and monitoring the health of the public.6 Unlike research, surveillance answers questions about changing incidence and characteristics of disease. Research is beginning to suggest that prevention of SBS may be possible.7, 8 Thus, SBS is joining the list of public health problems (e.g., HIV/AIDS, diabetes, traumatic spinal cord injury, asthma, and occupational silicosis) that may be controlled if surveillance data are available to help monitor and evaluate population-based prevention policies and programs.9 This article proposes that hospital inpatient discharge data can provide a critical component for SBS surveillance.

Section snippets

Methods

Disease and health surveillance systems differ greatly according to whether they capture fatal, severe, or less-severe cases; use passive or active data-collection methods; collect limited or detailed information; are slow or timely; and other dimensions. Unlike medicine, which seeks case-specific information for clinical decisions, the purpose of public health surveillance is to capture population-based information accurately enough to base policy decisions and program planning. For

Results

Figure 1 displays the SBS surveillance data from California based on inpatient data analyzed in 2006. Annual rates for 1998–2004 show little fluctuation, with a modest downward trend in SBS, defined by either strict or broad criteria. Over the 7 data years, there is little departure from the overall rate of 5.1 for strict SBS and 14.0 for broad SBS (per 100,000 children <2 years). The meaning of the slight decline is unclear, but is consistent with another recent study.22

Table 1 compares

Discussion

This article is meant to stimulate dialogue on how best to develop feasible, sustainable surveillance of SBS using hospital inpatient data. Based on previous studies,3, 4, 23, 24 provisional exclusion and inclusion criteria were developed for cases of diagnosed SBS (strict definition) as well as for cases presumed to be SBS (broad definition). Table 2 shows that the broad definition produces rates per 100,000 children aged <1 and 2 years, respectively, that are roughly comparable to those

Conclusion

Despite the limitations of inpatient data, a passive surveillance system like the one proposed here can provide a critical component to a comprehensive SBS surveillance system, and may even be adequate for some purposes, including identifying high-risk areas or groups for intervention and monitoring trends over time. However, given the rare incidence of SBS, there will need to be a complete set of convergent surveillance measures that cover the full injury pyramid, including deaths,

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      NAHI, often described as “shaken baby syndrome,” is a significant issue in child health. The incidence is remarkably consistent across the world in epidemiologic studies published to date, with rates of 20–30 per 100,000 infants under the age of 1 year (Barlow & Minns, 2000; Ellingson, Leventhal, & Weiss, 2008; Hobbs, Childs, Wynne, Livingston, & Seal, 2005; Jayawant et al., 1998; Keenan et al., 2003; Kelly & Farrant, 2008; Minns, Jones, & Mok, 2008; Wirtz & Trent, 2008), and a high morbidity and mortality (Barlow, Thomson, Johnson, & Minns, 2005). Many more cases may go unrecognised (Jenny, Hymel, Ritzen, Reinert, & Hay, 1999; Reijneveld, van der Wal, Brugman, Sing, & Verloove-Vanhorick, 2004; Runyan, 2008; Theodore et al., 2005).

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