Skip to main content
Pediatrics logoLink to Pediatrics
. 2015 Aug;136(2):232–240. doi: 10.1542/peds.2014-3977

Evaluation for Occult Fractures in Injured Children

Joanne N Wood a,b,c,, Benjamin French d, Lihai Song b, Chris Feudtner a,c
PMCID: PMC4516941  PMID: 26169425

Abstract

OBJECTIVES:

To examine variation across US hospitals in evaluation for occult fractures in (1) children <2 years old diagnosed with physical abuse and (2) infants <1 year old with injuries associated with a high likelihood of abuse and to identify factors associated with such variation.

METHODS:

We performed a retrospective study in children <2 years old with a diagnosis of physical abuse and in infants <1 year old with non-motor vehicle crash–related traumatic brain injury or femur fractures discharged from 366 hospitals in the Premier database from 2009 to 2013. We examined across-hospital variation and identified child- and hospital-level factors associated with evaluation for occult fractures.

RESULTS:

Evaluations for occult fractures were performed in 48% of the 2502 children with an abuse diagnosis, in 51% of the 1574 infants with traumatic brain injury, and in 53% of the 859 infants with femur fractures. Hospitals varied substantially with regard to their rates of evaluation for occult fractures in all 3 groups. Occult fracture evaluations were more likely to be performed at teaching hospitals than at nonteaching hospitals (all P < .001). The hospital-level annual volume of young, injured children was associated with the probability of occult fracture evaluation, such that hospitals treating more young, injured patients were more likely to evaluate for occult fractures (all P < .001).

CONCLUSIONS:

Substantial variation in evaluation for occult fractures among young children with a diagnosis of abuse or injuries associated with a high likelihood of abuse highlights opportunities for quality improvement in this vulnerable population.


What’s Known on This Subject:

Screening for occult fractures is a key component of the medical evaluation for young victims of suspected physical abuse. Little is known about adherence to occult fracture evaluation guidelines in children with suspected abuse cared for at non-pediatric-focused hospitals.

What This Study Adds:

Occult fracture evaluations were performed in half of young children diagnosed with abuse or injuries concerning for abuse in a large cohort of hospitals. Evaluations were more common at hospitals caring for higher volumes of young, injured children.

Evaluation for occult fractures with a skeletal survey (SS) is a key component of the evaluation of young children with injuries from suspected physical abuse. SSs reveal fractures that are not clinically suspected on the basis of history or physical examination in 10% to 40% of children <2 years old evaluated for suspected abuse.16 In addition to identifying fractures requiring medical treatment, SSs can document fractures and other findings that do not require medical treatment but are important to safeguard the well-being of the child. Specific patterns of fractures can confirm a diagnosis of abuse and allow for protection of the child.7 The stage of healing of the fractures can provide information regarding the timing of the abuse and aid in perpetrator identification.7 The American Academy of Pediatrics recommends that SSs be performed in all cases of suspected physical abuse in children <2 years old.7,8

Despite these recommendations, research suggests that SSs are not uniformly performed in cases of suspected abuse in children <2 years old. A study in children <2 years old diagnosed with abuse at 40 US children’s hospitals found that, overall, the majority of children (83%) received an SS, but rates varied from 55% to 93% across hospitals.9 Even greater variation in SS performance was observed among infants <1 year old with non-motor vehicle crash (MVC)–related femur fractures or traumatic brain injuries (TBIs). Although national guidelines regarding SS performance in infants with non-MVC-related TBI and femur fractures do not exist, these specific injuries are associated with a high likelihood of abuse. Estimates of the rate of suspected or confirmed diagnosis of abuse among infants with non-MVC-related femur fractures range from 17% to 68%.1016 The rate of diagnosis of abuse among infants with non-MVC-related TBI ranges from 33% to 95%.1719 The observed low rate of occult fracture evaluation in these high-risk infants at some pediatric hospitals raises concern for missed opportunities to detect abuse.

Research on occult fracture evaluation practices in the United States has focused on children’s hospitals; the majority of injured children, however, receive care at general hospitals, which are less likely to have specialized child abuse consultants than pediatric centers. A study using nationally representative hospital data found that infants with non-MVC-related femur fractures or TBIs were less likely to receive an abuse diagnosis at general hospitals than at pediatric hospitals, suggesting that infants at general hospitals may be underdiagnosed with abuse.12 Studies outside the United States have also raised concerns about occult fracture evaluation practices at general hospitals. An Australian study found that occult fracture evaluations were performed in less than half of children <2 years old treated for fractures at a general hospital.20 A survey of European Society of Pediatric Radiology members revealed significant variation in imaging protocols for suspected abuse across institutions.21

Given concerns regarding occult fracture evaluation practices, we examined the rate of occult fracture evaluation in a large cohort of US hospitals. The primary goals of this study were to quantify variation in and determine factors associated with evaluation for occult fractures across the hospitals in (1) children <2 years old diagnosed with physical abuse and (2) infants <1 year old with injuries associated with a high likelihood of abuse. In particular, the analysis focused on identifying child- and hospital-level factors associated with evaluation for occult fractures, including a hospital’s annual volume of treated children.

Methods

Data Source

We used the Premier Perspective Database (Premier, Inc, Charlotte, NC), a large all-payer database that includes inpatient and hospital-based outpatient encounter data from >2000 participating academic medical centers, community-based hospitals, and large multihospital systems.22,23 Approximately 20% of the nation’s acute care hospitalizations with ∼5.5 million hospital discharges are captured annually.24,25 Hospitals submit encounter data, including patient demographic characteristics, diagnoses, and resource utilization, to the Premier Perspective Database. We limited our analysis to the 6 279 685 inpatient and emergency department encounters for children <2 years old with discharge dates between 2009 and 2013 at hospitals reporting data from both inpatient and emergency department encounters. This study did not require institutional review board approval because it did not meet the definition of human subjects research.

Study Population

The study population included (1) children <2 years old diagnosed with physical abuse and (2) infants <1 year old with high-risk injuries. Classification in the abuse group was determined by the presence of an International Classification of Diseases, Ninth Revision, Clinical Modification (ICD-9-CM), diagnosis code or external cause of injury code for physical abuse or assault. The high-risk injury group included infants with ICD-9-CM codes for serious injuries frequently attributed to abuse, specifically non-MVC-related TBIs and femur fractures9,12 (see Supplemental Table 4 for a listing of included ICD-9-CM codes). The TBI group included infants with intracranial hemorrhage, cerebral contusions, and/or lacerations. Infants with skull fractures without intracranial hemorrhage were not included in the TBI group, because the risk of abuse and occult fractures is lower in this population.18,2629 Patients with diagnoses of both femur fracture and TBI were categorized on the basis of which injury received imaging first. Infants in the femur and TBI groups were also included in the abuse group if they received a diagnosis of abuse. We excluded children with MVC- or birth-related trauma, transfer(s) to/from other hospitals (in case they had an SS performed at an outside hospital), bone disorders in infants with femur fractures, and bleeding disorders in infants with TBI (Fig 1). For patients with multiple encounters within the same month, only the first encounter was included and subsequent encounters were dropped. Infants were also excluded if we were unable to determine which injury was imaged first and could not assign them to an injury group (femur or TBI) or if gender was missing. We had a final cohort of 4486 children.

FIGURE 1.

FIGURE 1

Process by which the final cohort of subjects was selected. First, encounters for injuries that were clearly nonabusive were excluded. Second, encounters with hospital-to-hospital transfers were excluded in case occult injury evaluations performed at outside hospitals. Last, encounters were limited to 1 encounter/patient per month with complete data on imaging and gender. ED, emergency department.

Study Outcomes

The primary outcome for our analysis, evaluation for occult fractures, was determined on the basis of descriptions of the diagnostic imaging studies associated with each encounter. We aimed to be as inclusive as possible in categorizing which radiologic studies (or groups of studies) might have been performed to evaluate for occult fractures. Thus, we included not only complete SSs but also limited SSs, radionuclide bone scans, and groups of radiographs that covered the main body regions (skull, spine, upper and lower extremities, abdomen/pelvis, and chest), recognizing that not all of these imaging studies conform to the standards set by the American College of Radiology.30 For patients with additional encounters of any type occurring within the same 1-month period as the index encounter, we aggregated the imaging data from all of the encounters into the index encounter. Thus, an evaluation for occult fractures was categorized as having been performed if an evaluation was done during any encounter occurring that month (a generous categorization that would bias findings toward higher rates of occult fracture screening).

Covariates

Patient-level covariates included age (years), gender, race, insurance status (private versus government or no insurance), injury severity, and year of discharge. Previous studies have found that demographic characteristics and injury severity influence the likelihood of SSs.9,31 ICD-9-CM–based Abbreviated Injury Scores for the head and lower extremities were calculated for the infant TBI and femur groups, respectively, by using the ICDMAP-90 injury diagnosis software (John Hopkins University, Baltimore, MD, and Tri-Analytics, Inc, Ponte Vedra Beach, FL). Hospital-level covariates included geographic region (Northeast, Midwest, South, or West), hospital setting (urban or rural), teaching status (teaching or nonteaching), and the annual injury volume of patients <2 years old. Injury volume was created as a continuous variable on the basis of the number of patients <2 years old discharged from the hospitals each year with a diagnosis of an injury (ICD-9-CM codes 800–959).

Statistical Analysis

We calculated the unadjusted rate of occult fracture evaluation by hospital for each of the 3 study groups (abuse, infant TBI, and infant femur fracture). We used logistic regression models to estimate the association between patient-level (race, gender, insurance status, year of discharge) and hospital-level (geographic region, hospital setting, teaching status, and log-transformed [base 2] annual injury volume) variables with the odds of occult fracture evaluation for each of the 3 groups.32 For the infant TBI model, we also included the injury severity score for the head region as a patient-level covariate. Similarly, the infant femur model included the injury severity score for the lower extremity region. All models used a robust variance estimator to account for correlation due to clustering of children within hospitals.

We used a mixed-effects logistic regression model to quantify variability across hospitals in occult fracture evaluation in each of the 3 groups (abuse, infant TBI, and infant femur fracture) for each hospital after adjustment for patient case mix.33 The model included patient-level variables as fixed effects and hospital-level random intercepts. We performed a separate analysis for each patient group and included the appropriate injury severity score. We limited our analysis to include only hospitals with at least 5 cases in the patient group. We calculated the predicted probabilities of SS by patient group. All analyses were completed in Stata 12.1 (StataCorp, College Station, TX).

Results

Study Population

Our analytic sample of 4486 children were treated at 366 hospitals. The sample included 2502 children aged <2 years old diagnosed with physical abuse (Table 1). Of the 2433 infants identified as having a high-risk injury, 65% had TBIs and 35% had femur fractures. Only 3% (12) of the hospitals served a primarily pediatric population, defined as ≥75% of non-birth-related encounters occurring in patients ≤18 years old.

TABLE 1.

Demographic and Clinical Characteristics of the Study Population

Characteristic Physical Abuse (n = 2502) High-Risk Injury Infant Groupsa (n = 2433)
TBI (n = 1574) Femur Fracture (n = 859)
Age <1 year old, % 64 100 100
Male gender, % 56 58 52
Race, %
 White, non-Hispanic 45 51 48
 Black 25 19 27
 Hispanic 6 7 5
 Other/unknown 25 24 20
Insurance, %
 Private 12 28 30
 Government 86 69 67
 Other/unknown 2 4 3
Injury severity score,b %
 Mild/moderate 19 96
 Severe 81 4
Diagnosis of physical abuse, % 100 22 12
Died, % 2 3 <1

—, not applicable.

a

Three infants with both TBIs and femur fractures were excluded due to inability to determine order of imaging of injuries.

b

ICD-9-CM–based Abbreviated Injury Scores were calculated for the head region for the infants with TBIs and for the lower extremities for the infants with femur fractures. Scores were categorized as follows for TBI: mild/moderate (1–3), severe (4–6). Scores were categorized as follows for femur fracture: mild/moderate (1–2), severe (3).

Evaluation for Occult Fractures in Children Diagnosed With Physical Abuse

Forty-eight percent of the children diagnosed with physical abuse received evaluation for occult injuries. In multivariable analysis, age of <1 year was associated with higher odds of evaluation (Table 2). Among children diagnosed with physical abuse, the odds of evaluation for occult fracture varied by race, with black children having the lowest odds of undergoing evaluation. The odds of evaluation for occult fractures were higher at teaching hospitals than at nonteaching hospitals (Table 2). There were differences by region, with the highest odds of evaluation occurring in the South. The annual volume of injured children cared for at the hospitals was associated with the likelihood of occult fracture evaluation such that hospitals with higher volumes of young, injured children were more likely to evaluate for occult fractures (Tables 2 and 3).

TABLE 2.

Predictors of Evaluation for Occult Fractures

Physical Abuse (n = 2502) Infants With TBI (n = 1574) Infants With Femur Fracture (n = 859)
Child-level predictors
 Age
  ≥1 to <2 years old Reference
  0 to <1 year old 2.79 (2.30–3.37)
 Gender
  Female Reference Reference Reference
  Male 1.17 (0.99–1.39) 1.16 (0.98–1.37) 1.18 (0.90–1.55)
 Race/ethnicity
  White Reference Reference Reference
  Black 0.48 (0.36–0.64) 1.16 (0.74–1.82) 1.72 (1.10–2.68)
  Hispanic 1.09 (0.68–1.76) 1.51(0.87–2.61) 1.43 (0.83–2.47)
  Other/unknown 0.79 (0.61–1.03) 1.71 (1.18–2.49) 1.44 (0.94–2.20)
 Insurance
  Private Reference Reference Reference
  Government 1.12 (0.81–1.56) 2.38 (1.73–3.25) 1.44 (1.06–1.96)
 Severe injurya 1.88 (1.38–2.55) 0.95 (0.45–1.98)
 Year
  2009 Reference Reference Reference
  2010 1.14 (0.82–1.60) 1.41 (0.97–2.04) 0.84 (0.51–1.37)
  2011 1.24 (0.92–1.67) 1.27 (0.82–1.95) 0.75 (0.47–1.21)
  2012 1.11 (0.82–1.50) 0.99 (0.68–1.44) 0.61 (0.3–0.99)
  2013 0.88 (0.66–1.18) 1.27 (0.75–2.16) 0.81 (0.49–1.32)
Hospital-level predictorsb
 Injury volumec 1.52 (1.31–1.77) 1.52 (1.32–1.75) 1.47 (1.20–1.80)
 Hospital setting
  Rural Reference Reference Reference
  Urban 1.38 (0.87–2.19) 1.14 (0.63–2.10) 1.01 (0.51–2.00)
 Teaching status
  Nonteaching Reference Reference Reference
  Teaching 1.59 (1.15–2.20) 1.64 (1.12–2.38) 2.97 (1.95–4.51)
Geographic region
 Midwest Reference Reference Reference
 Northeast 1.09 (0.52–2.27) 0.49 (0.19–1.27) 0.69 (0.31–1.57)
 South 1.72 (1.14–2.59) 0.99 (0.57–1.74) 1.17 (0.66–2.08)
 West 1.30 (0.81–2.09) 0.96 (0.56–1.65) 0.56 (0.30–1.03)

Data are presented as ORs (95% CIs). Results were generated from logistic regression models. —, not applicable.

a

For the infant TBI group, severe injury includes cases with ICD-9-CM–based Abbreviated Injury Scores for the head region of >4. For the infant femur fracture group, severe injury includes cases with ICD-9-CM Abbreviated Injury Scores for the lower extremity region of >2.

b

The analysis included data from 332 hospitals (250 urban, 93 teaching) for the abuse group, 174 hospitals (134 urban, 56 teaching) for the TBI group, and 213 hospitals (163 urban, 63 teaching) for the femur fracture group.

c

Evaluates whether log-transformed annual pediatric injury volume was associated with the odds of occult fracture evaluation.

TABLE 3.

Adjusted Occult Fracture Evaluation Rates by Mean Annual Hospital Pediatric Injury Volume

Group Mean Annual Hospital Injury Volume (encounters), % (95% CI)
250 500 1000 2000
Abuse 40 (36–44) 49 (46–53) 58 (53–64) 67 (59–75)
Infant TBI 39 (33–45) 48 (44–53) 58 (53–62) 67 (61–72)
Infant femur fracture 45 (38–52) 53 (49–58) 62 (56–67) 69 (61–78)

Predicted rates of evaluation for occult fractures at hospitals based on mean annual volume of encounters for patients <2 years old with diagnosis of traumatic injury. All models were adjusted for patient- and hospital-level covariates.

There were 112 hospitals with 2053 cases of diagnosed abuse available for inclusion in the analysis of variation across hospitals. The unadjusted rate of evaluation for occult fractures ranged from 0% to 100%. Even after adjusting for patient demographic characteristics and injury severity, significant variation in evaluation rates across hospitals persisted, with rates ranging from 15% to 100% (P < .001; Fig 2).

FIGURE 2.

FIGURE 2

Variation in screening for occult fractures in children <2 years old diagnosed with physical abuse across 112 hospitals. Results were generated from a mixed-effects logistic regression model, adjusted for age, gender, insurance, and year of discharge. Point estimates for individual hospitals are plotted as well as a weighted scatterplot smoothing of the rate of occult fracture evaluation as a function of the log of the mean annual hospital volume of patients <2 years old.

Evaluation for Occult Fractures in Children Diagnosed With High-Risk Injuries

Occult injury evaluation was performed in 51% of the TBI group and 53% of the femur fracture group. Among infants with these high-risk injuries, abuse was diagnosed in 32% of those undergoing occult fracture evaluation. In multivariable analysis, government-sponsored insurance increased the odds of evaluation for both the TBI and the femur fracture groups (Table 2). In the TBI group, there was an association of race with occult fracture evaluation, with the highest odds of evaluation observed in infants with “other/unknown” race. Among infants with TBI or femur fracture, teaching hospitals and hospitals with a higher volume of injured, young children were associated with increased odds of evaluation for occult fractures (Tables 2 and 3).

There were 49 hospitals with 1361 cases of TBI available for inclusion in the analysis of variation across hospitals. Unadjusted rates of evaluation for occult fractures in infants with TBIs ranged from 0% to 90% across hospitals. There were 43 hospitals with 562 cases of femur fracture available for the inclusion in the analysis of variation across hospitals. Unadjusted rates of evaluation for occult fractures in infants with femur fractures ranged from 0% to 100% across hospitals. After adjusting for patient demographic characteristics and injury severity, we found significant variation in evaluation rates across hospitals (P < .001). For the infant TBI group, adjusted rates of evaluation ranged from 26% to 98% across hospitals (Fig 3). For the infant femur group, adjusted rates of evaluation ranged from 26% to 77% (Fig 4).

FIGURE 3.

FIGURE 3

Variation in screening for occult fractures in infants <1 year old with non-MVC-related TBI across 49 hospitals. Results were generated from a mixed-effects logistic regression model, adjusted for gender, insurance, year of discharge, and severity of TBI on the basis of the ICD-9-CM–based Abbreviated Injury Scores for the head region. Point estimates for individual hospitals are plotted as well as a weighted scatterplot smoothing of the rate of occult fracture evaluation as a function of the log of the mean annual hospital volume of patients <2 years old.

FIGURE 4.

FIGURE 4

Variation in screening for occult fractures in infants <1 year old with non-MVC-related femur fractures across 43 hospitals. Results were generated from a mixed-effects logistic regression model, adjusted for gender, insurance, year of discharge, and severity of femur fracture on the basis of the ICD-9-CM–based Abbreviated Injury Scores for the lower extremity region. Point estimates for individual hospitals are plotted as well as a weighted scatterplot smoothing of the rate of occult fracture evaluation as a function of the log of the mean annual hospital volume of patients <2 years old.

Discussion

Just under half of the >2500 children aged <2 years old with an abuse diagnosis underwent evaluation for occult fractures, despite recommendations from the American Academy of Pediatrics that SSs should be universally performed in this population.7,8 On the basis of previous studies, ∼25% to 30% of these children would be expected to have occult fractures revealed on SSs.2, 34 Thus, ∼1 of every 7 or 8 children in our study sample may have had undiagnosed occult fractures. The rate of occult fracture evaluation among children with an abuse diagnosis in our study cohort, which primarily included non-pediatric-focused hospitals, was lower than the rate of 83% reported in a study of 40 pediatric hospitals.9 Further examination revealed that teaching status and greater experience with young, injured children, as measured by the annual hospital volume of patients <2 years old with an injury diagnosis, were associated with increased odds of occult fracture evaluation.

Only half of infants with non-MVC-related TBIs and femur fractures underwent occult fracture evaluation. An argument could be made that not all of these infants required occult fracture evaluations and that the decision should be made on a case-by-case basis, taking into account the presenting history and other clinical factors not able to be captured in our study. We assert, however, that on the basis of the well-documented significant risk of abuse in infants with these injuries,1016,35 a more standardized approach is needed. Over the past 25 years, research has repeatedly highlighted missed opportunities to evaluate and diagnose abuse in young, injured children, resulting in children suffering from undiagnosed injuries as well as ongoing abuse.3643 Research has also revealed that racial and socioeconomic status (SES)–based biases influence decision-making regarding child abuse evaluations and diagnoses.17,31,35,44,45 A single institution study of unwitnessed TBI in infants showed that implementation of a guideline for universal occult fracture evaluation in this population can eliminate racial and SES-based disparities and might increase the detection of abuse.35 Thus, the development and implementation of guidelines for occult fracture evaluation in young, injured children has the potential to not only address disparities in care but also to increase early detection of abusive injuries and protect children from further harm. In developing national guidelines, the benefits of increased detection of occult fractures will need to be balanced with the risks of increased exposure to radiation. The observed lack of adherence at some hospitals to the existing occult fracture evaluation guidelines for children diagnosed with abuse suggests, however, that simply developing guidelines for children with high-risk injuries will not be sufficient to change practice. Qualitative assessments of hospitals with high guideline adherence rates and hospitals with low adherence rates may be helpful in informing guideline implementation and quality improvement strategies. Formal examination of the acceptability of developed guidelines by using tools such as The Ottawa Acceptability of Decision Rules Instrument will also be necessary.46 Previous research has shown that computerized reminder and decision support systems, interactive educational meetings or outreach, guideline content, and multifaceted interventions are effective in guideline implementation.47,48

In keeping with previous studies showing that lower SES is associated with increased rates of evaluation for and diagnosis of abuse, we found that government insurance was associated with increased odds of occult fracture evaluation in infants with high-risk injuries.35,43,45,48,49 In contrast to previous studies, however, we did not find a consistent relationship between minority race and increased rates of occult fracture evaluation in infants with high-risk injuries.31,35,43,49 In the group of children diagnosed with abuse, black race was associated with lower odds of occult fracture evaluation, suggesting that once a diagnosis of abuse is made, black children may receive a less thorough evaluation than white children. Our ability to study the association of race with occult fracture evaluation practices, however, was limited by the frequency of missing data for race in our cohort.

Our study has several limitations. First, the study relied on administrative data, which are subject to coding inaccuracies. Studies have raised concern about the sensitivity of ICD-9-CM and E-codes to identify abuse cases.49,50 Importantly, however, the reported specificity of the codes to identify cases of diagnosed physical abuse or abusive head trauma is high.49,51 Thus, although we may not have captured all cases of abuse for inclusion in our cohort, the risk of having inappropriately categorized accidental injuries as abusive is low. Incomplete use of E-codes might have resulted in MVC-related injuries not being fully excluded from our study cohort, which would overestimate the proportion of cases in which occult fracture evaluation could be considered appropriate. The magnitude of this effect would be small, however, because a minority of femur fractures and TBIs are attributed to MVCs in young children. MVC-related trauma accounts for 5% to 11% of femur fractures in children <3 years old and <10% of TBI hospitalizations in children <5 years old.13,5254 Second, unobserved patient-level factors, including reported history of trauma and other clinical details, might have influenced the decision to obtain an SS and contributed to the observed variation. Third, the number of eligible cases seen at some of the non-pediatric-focused hospitals was low, and as such the estimates at these hospitals are relatively unstable. Furthermore, children with more severe injuries may have been preferentially transferred to pediatric centers, biasing our sample toward children with less severe injuries. Finally, because of the nature of the administrative data, we are unable to determine the results of the occult fracture evaluation.

Despite these limitations, our results show a lack of uniform adherence to occult fracture evaluation recommendations in young victims of abuse. The marked variation in occult fracture evaluation rates among infants with high-risk injuries raises concerns for missed opportunities to detect abuse and protect children. These results highlight an opportunity to improve quality of care for this vulnerable population.

Glossary

ICD-9-CM

International Classification of Diseases, Ninth Revision, Clinical Modification

MVC

motor vehicle crash

SES

socioeconomic status

SS

skeletal survey

TBI

traumatic brain injury

Footnotes

Dr Wood conceptualized and designed the study, analyzed and interpreted the data, and drafted the initial manuscript; Drs French and Feudtner conceptualized and designed the study, analyzed and interpreted the data, and reviewed and revised the manuscript for important intellectual content; Mr Song acquired the data, carried out the initial analyses, and reviewed and revised the manuscript for important intellectual content; and all authors approved the final manuscript as submitted.

FINANCIAL DISCLOSURE: Dr Wood’s institution has received payment for expert witness court testimony that she provided in cases of suspected child abuse for which she was subpoenaed to testify; she received salary funding from the National Institute of Child Health and Human Development grant (1K23HD071967-01); and Dr French, Mr Song, and Dr Feudtner have indicated they have no financial relationships relevant to this article to disclose.

FUNDING: Dr Wood received salary funding from the National Institute of Child Health and Human Development grant (1K23HD071967-01). Funded by the National Institutes of Health (NIH).

POTENTIAL CONFLICT OF INTEREST: The authors have indicated they have no potential conflicts of interest.

COMPANION PAPER: A companion to this article can be found on page 389, and online at www.pediatrics.org/cgi/doi/10.1542/peds.2015-0694.

References

  • 1.Merten DF, Radkowski MA, Leonidas JC. The abused child: a radiological reappraisal. Radiology. 1983;146(2):377–381 [DOI] [PubMed] [Google Scholar]
  • 2.Belfer RA, Klein BL, Orr L. Use of the skeletal survey in the evaluation of child maltreatment. Am J Emerg Med. 2001;19(2):122–124 [DOI] [PubMed] [Google Scholar]
  • 3.Hicks RA, Stolfi A. Skeletal surveys in children with burns caused by child abuse. Pediatr Emerg Care. 2007;23(5):308–313 [DOI] [PubMed] [Google Scholar]
  • 4.Karmazyn B, Lewis ME, Jennings SG, Hibbard RA, Hicks RA. The prevalence of uncommon fractures on skeletal surveys performed to evaluate for suspected abuse in 930 children: should practice guidelines change? AJR Am J Roentgenol. 2011;197(1):W159–W163. [DOI] [PubMed] [Google Scholar]
  • 5.Day F, Clegg S, McPhillips M, Mok J. A retrospective case series of skeletal surveys in children with suspected non-accidental injury. J Clin Forensic Med. 2006;13(2):55–59 [DOI] [PubMed] [Google Scholar]
  • 6.Duffy SO, Squires J, Fromkin JB, Berger RP. Use of skeletal surveys to evaluate for physical abuse: analysis of 703 consecutive skeletal surveys. Pediatrics. 2011;127(1). Available at: www.pediatrics.org/cgi/content/full/127/1/e47 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7.American Academy of Pediatrics Section on Radiology . Diagnostic imaging of child abuse. Pediatrics. 2009;123(5):1430–1435 [DOI] [PubMed] [Google Scholar]
  • 8.Kellogg ND, American Academy of Pediatrics Committee on Child Abuse and Neglect . Evaluation of suspected child physical abuse. Pediatrics. 2007;119(6):1232–1241 [DOI] [PubMed] [Google Scholar]
  • 9.Wood JN, Feudtner C, Medina SP, Luan X, Localio R, Rubin DM. Variation in occult injury screening for children with suspected abuse in selected US children’s hospitals. Pediatrics. 2012;130(5):853–860 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10.Kemp AM, Dunstan F, Harrison S, et al. Patterns of skeletal fractures in child abuse: systematic review. BMJ. 2008;337:a1518 [DOI] [PMC free article] [PubMed]
  • 11.Wood JN, Fakeye O, Mondestin V, Rubin DM, Localio R, Feudtner C. Prevalence of abuse among young children with femur fractures: a systematic review. BMC Pediatr. 2014;14(169)1–13 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12.Trokel M, Waddimba A, Griffith J, Sege R. Variation in the diagnosis of child abuse in severely injured infants. Pediatrics. 2006;117(3):722–728 [DOI] [PubMed] [Google Scholar]
  • 13.Hui C, Joughin E, Goldstein S, et al. Femoral fractures in children younger than three years: the role of nonaccidental injury. J Pediatr Orthop. 2008;28(3):297–302 [DOI] [PubMed] [Google Scholar]
  • 14.Coffey C, Haley K, Hayes J, Groner JI. The risk of child abuse in infants and toddlers with lower extremity injuries. J Pediatr Surg. 2005;40(1):120–123 [DOI] [PubMed] [Google Scholar]
  • 15.Maguire S, Cowley L, Mann M, Kemp A. What does the recent literature add to the identification and investigation of fractures in child abuse: an overview of review updates 2005–2013. Evid Based Child Health. 2013;8(5):2044–2057 [Google Scholar]
  • 16.Leventhal JM, Martin KD, Asnes AG. Incidence of fractures attributable to abuse in young hospitalized children: results from analysis of a United States database. Pediatrics. 2008;122(3):599–604 [DOI] [PubMed] [Google Scholar]
  • 17.Wood JN, Hall M, Schilling S, Keren R, Mitra N, Rubin DM. Disparities in the evaluation and diagnosis of abuse among infants with traumatic brain injury. Pediatrics. 2010;126(3):408–414 [DOI] [PubMed] [Google Scholar]
  • 18.Billmire ME, Myers PA. Serious head injury in infants: accident or abuse? Pediatrics. 1985;75(2):340–342 [PubMed] [Google Scholar]
  • 19.Leventhal JM, Martin KD, Asnes AG. Fractures and traumatic brain injuries: abuse versus accidents in a US database of hospitalized children. Pediatrics. 2010;126(1). Available at: www.pediatrics.org/cgi/content/full/126/1/e104 [DOI] [PubMed] [Google Scholar]
  • 20.Ziegler DS, Sammut J, Piper AC. Assessment and follow-up of suspected child abuse in preschool children with fractures seen in a general hospital emergency department. J Paediatr Child Health. 2005;41(5–6):251–255 [DOI] [PubMed] [Google Scholar]
  • 21.Hulson OS, van Rijn RR, Offiah AC. European survey of imaging in non-accidental injury demonstrates a need for a consensus protocol. Pediatr Radiol. 2014;44(12):1557–1563 [DOI] [PubMed] [Google Scholar]
  • 22.Feudtner C, Dai D, Faerber J, Metjian TA, Luan X. Pragmatic estimates of the proportion of pediatric inpatients exposed to specific medications in the USA. Pharmacoepidemiol Drug Saf. 2013;22(8):890–898 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 23.Fisher BT, Lindenauer PK, Feudtner C. In-hospital databases. In: Strom BL, Kimmel SE, Hennessy S, eds. Pharmacoepidemiology 5th ed. Hoboken, NJ: John Wiley & Sons, Ltd.; 2012:246–247 [Google Scholar]
  • 24.Oderda GM, Gan TJ, Johnson BH, Robinson SB. Effect of opioid-related adverse events on outcomes in selected surgical patients. J Pain Palliat Care Pharmacother. 2013;27(1):62–70 [DOI] [PubMed] [Google Scholar]
  • 25.Robinson SB, Ernst FR, Lipkin C, Huang X. Patient outcomes on day 4 of intravenous antibiotic therapy in non-intensive care unit hospitalized adults with community-acquired bacterial pneumonia. Infect Dis Clin Pract (Baltim Md). 2014;22(6):320–325 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 26.Wood JN, Christian CW, Adams CM, Rubin DM. Skeletal surveys in infants with isolated skull fractures. Pediatrics. 2009;123(2). Available at: www.pediatrics.org/cgi/content/full/123/2/e247 [DOI] [PubMed] [Google Scholar]
  • 27.Myhre MC, Grøgaard JB, Dyb GA, Sandvik L, Nordhov M. Traumatic head injury in infants and toddlers. Acta Paediatr. 2007;96(8):1159–1163 [DOI] [PubMed] [Google Scholar]
  • 28.Laskey AL, Stump TE, Hicks RA, Smith JL. Yield of skeletal surveys in children ≤18 months of age presenting with isolated skull fractures. J Pediatr. 2013;162(1):86–89 [DOI] [PubMed] [Google Scholar]
  • 29.Deye KP, Berger RP, Lindberg DM, ExSTRA Investigators . Occult abusive injuries in infants with apparently isolated skull fractures. J Trauma Acute Care Surg. 2013;74(6):1553–1558 [DOI] [PubMed] [Google Scholar]
  • 30.American College of Radiology. ACR-SPR practice guideline for skeletal surveys in children. ACR Practice Guidelines and Technical Standards. Published 2011. Available at: www.acr.org/∼/media/ACR/Documents/PGTS/guidelines/Skeletal_Surveys.pdf. Accessed August 24, 2012
  • 31.Lane WG, Rubin DM, Monteith R, Christian CW. Racial differences in the evaluation of pediatric fractures for physical abuse. JAMA. 2002;288(13):1603–1609 [DOI] [PubMed] [Google Scholar]
  • 32.French B, Farjah F, Flum DR, Heagerty PJ. A general framework for estimating volume-outcome associations from longitudinal data. Stat Med. 2012;31(4):366–382 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 33.Normand S-LT, Shahian DM. Statistical and clinical aspects of hospital outcomes profiling. Stat Sci. 2007;22(2):206–226 [Google Scholar]
  • 34.Lindberg DM, Berger RP, Reynolds MS, Alwan RM, Harper NS. Yield of skeletal survey by age in children referred to abuse specialists. J Pediatr. 2014;164(6):1268–1273, e1261 [DOI] [PubMed]
  • 35.Rangel EL, Cook BS, Bennett BL, Shebesta K, Ying J, Falcone RA. Eliminating disparity in evaluation for abuse in infants with head injury: use of a screening guideline. J Pediatr Surg. 2009;44(6):1229–1234; discussion 1234–1235 [DOI] [PubMed] [Google Scholar]
  • 36.Thorpe EL, Zuckerbraun NS, Wolford JE, Berger RP. Missed opportunities to diagnose child physical abuse. Pediatr Emerg Care. 2014;30(11):771–776 [DOI] [PubMed] [Google Scholar]
  • 37.Oral R, Blum KL, Johnson C. Fractures in young children: are physicians in the emergency department and orthopedic clinics adequately screening for possible abuse? Pediatr Emerg Care. 2003;19(3):148–153 [DOI] [PubMed] [Google Scholar]
  • 38.Ravichandiran N, Schuh S, Bejuk M, et al. Delayed identification of pediatric abuse-related fractures. Pediatrics. 2010;125(1):60–66 [DOI] [PubMed] [Google Scholar]
  • 39.Sheets LK, Leach ME, Koszewski IJ, Lessmeier AM, Nugent M, Simpson P. Sentinel injuries in infants evaluated for child physical abuse. Pediatrics. 2013;131(4):701–707 [DOI] [PubMed] [Google Scholar]
  • 40.Thackeray JD. Frena tears and abusive head injury: a cautionary tale. Pediatr Emerg Care. 2007;23(10):735–737 [DOI] [PubMed] [Google Scholar]
  • 41.Oral R, Yagmur F, Nashelsky M, Turkmen M, Kirby P. Fatal abusive head trauma cases: consequence of medical staff missing milder forms of physical abuse. Pediatr Emerg Care. 2008;24(12):816–821 [DOI] [PubMed] [Google Scholar]
  • 42.Petska HW, Sheets LK, Knox BL. Facial bruising as a precursor to abusive head trauma. Clin Pediatr (Phila). 2013;52(1):86–88 [DOI] [PubMed] [Google Scholar]
  • 43.Jenny C, Hymel KP, Ritzen A, Reinert SE, Hay TC. Analysis of missed cases of abusive head trauma. JAMA. 1999;281(7):621–626 [DOI] [PubMed] [Google Scholar]
  • 44.Lane WG, Dubowitz H. What factors affect the identification and reporting of child abuse-related fractures? Clin Orthop Relat Res. 2007;461(461):219–225 [DOI] [PubMed] [Google Scholar]
  • 45.Laskey AL, Stump TE, Perkins SM, Zimet GD, Sherman SJ, Downs SM. Influence of race and socioeconomic status on the diagnosis of child abuse: a randomized study. J Pediatr. 2012;160(6):1003–1008, e1001 [DOI] [PubMed]
  • 46.Brehaut JC, Graham ID, Wood TJ, et al. Measuring acceptability of clinical decision rules: validation of the Ottawa acceptability of decision rules instrument (OADRI) in four countries. Med Decis Making. 2010;30(3):398–408 [DOI] [PubMed] [Google Scholar]
  • 47.Damiani G, Pinnarelli L, Colosimo SC, et al. The effectiveness of computerized clinical guidelines in the process of care: a systematic review. BMC Health Serv Res. 2010;10(2):1–11 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 48.Prior M, Guerin M, Grimmer-Somers K. The effectiveness of clinical guideline implementation strategies—a synthesis of systematic review findings. J Eval Clin Pract. 2008;14(5):888–897 [DOI] [PubMed] [Google Scholar]
  • 49.Hooft A, Ronda J, Schaeffer P, Asnes AG, Leventhal JM. Identification of physical abuse cases in hospitalized children: accuracy of International Classification of Diseases codes. J Pediatr. 2013;162(1):80–85 [DOI] [PubMed] [Google Scholar]
  • 50.Winn DG, Agran PF, Anderson CL. Sensitivity of hospitals’ E-coded data in identifying causes of children’s violence-related injuries. Public Health Rep. 1995;110(3):277–281 [PMC free article] [PubMed] [Google Scholar]
  • 51.Berger RP, Parks S, Fromkin J, Rubin P, Pecora PJ. Assessing the accuracy of the International Classification of Diseases codes to identify abusive head trauma: a feasibility study. Inj Prev. 2015 Apr;21(e1):e133–e137 [DOI] [PMC free article] [PubMed]
  • 52.Loder RT, O’Donnell PW, Feinberg JR. Epidemiology and mechanisms of femur fractures in children. J Pediatr Orthop. 2006;26(5):561–566 [DOI] [PubMed] [Google Scholar]
  • 53.Centers for Disease Control and Prevention; National Center for Injury Prevention and Control; Division of Unintentional Injury Prevention. Percent distributions of TBI-related hospitalizations by age group and injury mechanism—United States, 2006–2010. Published 2014. Updated February 24, 2014. Available at: www.cdc.gov/traumaticbraininjury/data/dist_hosp.html. Accessed February 10, 2015
  • 54.Dalton HJ, Slovis T, Helfer RE, Comstock J, Scheurer S, Riolo S. Undiagnosed abuse in children younger than 3 years with femoral fracture. Am J Dis Child. 1990;144(8):875–878 [DOI] [PubMed] [Google Scholar]

Articles from Pediatrics are provided here courtesy of American Academy of Pediatrics

RESOURCES