Abstract
Objective
To retrospectively assess a cohort of mothers for characteristics of injuries that they have suffered as a result of family and domestic violence (FDV) and which have required admission to a hospital during both the intrapartum and postpartum periods.
Design and setting
Retrospective, whole-population linked data study of FDV in Western Australia using the Western Australia birth registry from 1990 to 2009 and Hospital Morbidity Data System records from 1970 to 2013.
Main outcome measures
Number of hospitalisations, and mode, location and type of injuries recorded, with particular focus on the head and neck area.
Results
There were 11 546 hospitalisations for mothers due to FDV. 8193 hospitalisations recorded an injury code to the head and/or neck region. The upper and middle thirds of the face and scalp were areas most likely to receive superficial injuries (58.7% or 4158 admissions), followed by the mouth and oral cavity (9.7% or 687 admissions). Fracture to the mandible accounted for 479 (4.2%) admissions and was almost equal to the sum of the next three most common facial fractures (nasal, maxillary and orbital floor). Mothers more likely to be hospitalised due to a head injury from FDV included those with more than one child (OR=1.17, 95% CI 1.03 to 1.30) and those with infants (<1 year old) (OR=1.40, 95% CI 1.04 to 1.90) and young children (<7 years old) (OR=1.15, 95% CI 1.01 to 1.30).
Conclusions
FDV is a serious and ongoing problem and front-line clinicians are in need of evidence-based guidelines to recognise and assist victims of FDV. Mothers with children in their care are a particularly vulnerable group.
Keywords: epidemiology, public health, accident & emergency medicine, general medicine (see internal medicine)
Strengths and limitations of this study.
This is the first study to examine injuries to mothers due to family and domestic violence (FDV) at a population level.
It uses over 40 years of population-level data to generate a robust and appropriately statistically powered analysis of injury types and patterns.
It has broad applications for front-line clinicians and policymakers.
It is limited by the fact that it only captures FDV-related assault that has required hospitalisation.
Much more research is needed in this area to understand how victims of FDV might present with injuries to hospitals.
Introduction
Family and domestic violence (FDV) is a significant problem in our society. The WHO estimates that up to 30% of women globally experience intimate partner violence in their lifetime.1 The Australian Institute of Health and Welfare (AIHW) defines FDV as ‘violence between family members, typically where the perpetrator exercises power and control over another person. The most common and pervasive instances occur in intimate (current or former) partner relationships and are usually referred to as domestic violence’.2 The AIHW estimates that during 2014–2015 in Australia almost eight women and two men required admission to hospitals in the country each day after being assaulted by their spouse or partner.2 Approximately one woman per week is killed as a result of violence from a current or previous partner.2 Alarmingly, Australian Aboriginal and Torres Strait Islander women (hereafter referred to as Aboriginal) are 32 times more likely to be hospitalised due to FDV than non-Aboriginal women.2
Published literature examining the types of injuries suffered by victims has indicated that they have tended to occur in the head and neck region and range in spectrum from superficial injuries to fractures and open wounds2; however, these data are largely derived from smaller cohorts or encompass shorter periods of observation.3 4 At present, clinicians continue to see presentations due to FDV in primary care and emergency settings, despite research and investment in preventive strategies.5 There is currently a lack of literature examining both the patterns of injury in FDV and in helping to identify those most at risk of subsequent FDV and re-presentation for violence-related injuries. Front-line clinicians are in need of evidence-based guidelines for triaging and managing FDV victims in an emergency or primary care setting as prompt recognition of FDV-related injuries could help to ensure that multidisciplinary teams are engaged early after hospitalisation to assist the victim(s).
In Australia, among women who had experienced violence by a partner, 54% had children in their care at the time of the violence and 68% of mothers said their children had seen or heard the violence.6 Western Australia’s Data Linkage System (WADLS) has enabled the study of large populations, representative of the wider Australian population,7 with the identification of familial relationships, making it possible to identify mothers’ hospital admissions for assault. This information is essential in providing evidence and informing guidelines for clinicians treating mothers who are victims of FDV.8 9
The purpose of this study was to retrospectively assess a cohort of mothers for characteristics of injuries that they have suffered as a result of FDV and which have required admission to a hospital during both the intrapartum and postpartum periods. The aim of this study was to report the trends in injury and risk factors that may contribute to hospitalisations due to FDV. Due to the number of admissions involving the head and neck region, injuries to this area of the body are explored in more detail.
Methods
Study design
This is a longitudinal cohort study.
Study population: inclusion and exclusion criteria for selecting study subjects
Records of all women in the Western Australia birth registry who gave birth to a child weighing over 400 g between 1 January 1990 and 31 December 2009 were extracted, along with hospital admission records that occurred in the state between 1970 and June 2013 routinely recorded in the Hospital Morbidity Data Collection (HMDC). The HMDC is a statutory data collection containing diagnosis (primary and secondary), procedure (principal and secondary) and external cause codes according to the International Statistical Classification of Diseases and Related Health Problems, Ninth Revision (ICD-9; from 1979 to June 1999) and the International Statistical Classification of Diseases and Related Health Problems, Tenth Revision Australian Modification (ICD-10-AM; from July 1999 to April 2019).
Description of procedures
In order to define a hospital admission as being due to an injury caused by FDV, we searched all hospital records for the birth cohort for ICD codes indicating injury from an intimate partner (external cause code, table 1) which have been validated in previous research using WADLS.10–12 Both the external cause and injury codes of interest listed in table 1 had to be present in the data for each admission in order to be included in the cohort. Only admissions occurring during pregnancy with or after the birth of the first child were included so as to define ‘mothers’ for the purposes of this study. Only mothers over the age of 16 years (age of medical consent13) were included so as to clearly define an ‘adult’ cohort. Demographic information including age, Aboriginality and a measure of socioeconomic status (SocioEconomic Index For Areas (SEIFA) disadvantage) was obtained from the birth registry data. SEIFA disadvantage assigns one of five levels of disadvantage to census collection districts (~200 households), ranging from 1 (high disadvantage) to 5 (low disadvantage).14 The number of admissions for which an injury code was recorded was then examined according to anatomical regions of the body as defined by injury codes in table 1 drawn from ICD-10.15 The head and neck injury cohort was then further defined, prior to analysis, as having one of the head and/or neck injury codes in table 1 (figure 1). ICD-10-AM codes corresponding to specific injuries to specific areas of the head were then isolated and the frequencies were compared to give an assessment of where injuries were occurring most frequently and what injuries were occurring in these areas. Any records with missing data were excluded from the final analysis.
Table 1.
ICD codes used to isolate the cohort of interest
| ICD code | ICD version | Definition |
| External cause code | ||
| E960–E969 | ICD-9 | Homicide and injury purposely inflicted by other persons. |
| 995.81 | ICD-9 | Adult physical abuse. |
| V71.5 | ICD-9 | Observation following alleged rape or seduction. Examination of victim or culprit. |
| T74.1 | ICD-10-AM | Physical abuse. |
| T74.2 | ICD-10-AM | Sexual abuse. |
| T74.3 | ICD-10-AM | Psychological abuse. |
| Z04.4 | ICD-10-AM | Examination and observation following alleged rape or seduction. Examination of victim or culprit following alleged rape or seduction. |
| X85–Y09 | ICD-10-AM | Assault. |
| Injury code | ||
| S00–S19 | ICD-10-AM | Injury to the head and neck including intracranial injury. |
| S20–T32 | ICD-10-AM | Other injury, poisoning and certain other consequences of external causes. |
ICD-9, International Statistical Classification of Diseases and Related Health Problems, Ninth Revision; ICD-10-AM, International Statistical Classification of Diseases and Related Health Problems, Tenth Revision Australian Modification.
Figure 1.
Hospitalisations selected for analysis. HMDC, Hospital Morbidity Data Collection; ICD-10, International Statistical Classification of Diseases and Related Health Problems, Tenth Revision; WA, Western Australia.
Outcome variables of interest
The primary outcome of interest (hospitalisation due to injury from FDV) for individuals was recorded as a binary response (yes/no).
Primary independent variables
The primary independent variables were sociodemographic characteristics including Aboriginality, age, SEIFA disadvantage, length of stay, number of children and age of first child.
Statistical (analytical) approach
Sociodemographic characteristics were summarised using descriptive statistics including percentages, mean and SD, with crude comparative analyses between groups (eg, Aboriginality by head injury) initially performed using χ2 tests for proportions and independent samples t-tests for continuous data. A generalised linear model for both univariate and multivariate logistic regression was used to identify any factors associated with risk of FDV, as well as social or demographic factors that may increase or decrease risk of injury. We report OR and 95% CI. Generalised estimating equations, a flexible tool to model correlated data such as multiple admissions for individuals over time, were used to control for potential confounding variables including age, Aboriginality, disadvantage, length of stay, number of children and age of first child. All statistical analyses were performed using Stata V.15.
Patient and public involvement
Patients and/or the public were not involved in the design, or conduct, or reporting, or dissemination plans of this research.
Results
A total of 4476 mothers had a total of 11 546 hospital admissions due to assault-related violence over the period of the study. The mean number of admissions per mother was 3.1 (SD 3.5), with a range of 1–35 admissions. The mean age at first admission was 29 years old (range 16–92 years old, SD 7.9), with 62.4% of mothers under 30 years of age at the time of their first admission to hospital due to FDV. Of the cohort, 58.4% had between one and four admissions and the remainder had five or more admissions due to FDV.
Of all mothers admitted to hospital for FDV, there was an over-representation of Indigenous mothers (2620 (58.5%) vs 1806 (41.5%); table 2). On average, Indigenous mothers had 4.0 admissions (SD 4.0) over the period of the study compared with non-Indigenous mothers who had an average of 1.5 admissions (SD 1.2) over the same period. There were also a greater number of mothers from areas with the highest level of social disadvantage (35.1%; table 2).
Table 2.
Demographic characteristics of women admitted to hospital as a result of injury due to FDV
| Women hospitalised as a result of injury due to FDV (N=4476) | n | % |
| Indigenous status | ||
| Aboriginal | 2620 | 58.5 |
| Non-Aboriginal | 1856 | 41.5 |
| Index of social disadvantage (n=3639) | ||
| 1 | 1277 | 35.1 |
| 2 | 303 | 8.3 |
| 3 | 384 | 10.6 |
| 4 | 1168 | 32.1 |
| 5 | 507 | 13.9 |
| Age (n=4476) | ||
| 16–20 | 586 | 13.1 |
| 21–25 | 1140 | 25.5 |
| 26–30 | 1069 | 23.9 |
| 31–35 | 760 | 16.9 |
| 36+ | 921 | 20.6 |
| Length of stay (n=4476) | ||
| 1 <72 hours | 3895 | 87.0 |
| 2 >72 hours and <10 days | 533 | 11.9 |
| 3 >10 days | 48 | 1.1 |
| Number of children (n=4476) | ||
| 1 | 1254 | 28.0 |
| 2–3 | 2037 | 45.5 |
| 4 or more | 1185 | 26.5 |
FDV, family and domestic violence.
Of the 11 546 admissions to hospital for assault-related violence, there were 8193 (71.0%) admissions for which an injury code to the head and/or neck was recorded (figure 1) for 3251 mothers. Aboriginal mothers contributed 6369 of the 8193 admissions (77.7%), although being Aboriginal did not increase the odds that a mother would suffer a head injury due to FDV (OR=1.1, p=0.13, 95% CI 0.97 to 1.3). The most common injuries reported in the hospital admission data involving the head and neck were open wounds to the head (3753 admissions (32.5%) for 1219 mothers (27.2%)), followed by superficial cuts and injuries to the head (3343 admissions (29.8%) for 1484 mothers (33.2%)) and fractures of the head (1150 admissions (10%) for 454 mothers (10.1%)).
A total of 327 (2.8%) admissions occurred during the pregnancy period and 11 546 admissions occurred after the birth of each mother’s first child. Due to the small proportion of admissions during the pregnancy period, we were unable to undertake a comparative analysis of the intrapregnancy and postpregnancy periods, as such only frequencies for each injury type are reported for the intrapregnancy period in table 3. Most locations of the injury were similar for mothers during the pregnancy period, with the exception of injuries to the trunk (S30–S3915).
Table 3.
Injury type and admission information for mothers
| ICD-10 code | Injury location | Admissions, n (%) |
Mothers, n (%) |
Admissions during pregnancy, n (%) |
| S00–S09 | Head | 7950 (69) | 3131 (70) | 217 (66) |
| S10–S19 | Neck | 599 (5) | 299 (7) | 14 (4) |
| S20–S29 | Thorax | 1408 (12) | 500 (11) | 24 (7) |
| S30–S39 | Abdomen, low back, lumbar spine and pelvis | 1130 (10) | 470 (11) | 64 (20) |
| S40–S49 | Shoulder and upper arm | 1068 (9) | 435 (10) | 20 (6) |
| S50–S69 | Elbow, forearm, wrist and hand | 2411 (21) | 944 (21) | 47 (14) |
| S70–S79 | Hip and thigh | 711 (6) | 299 (7) | 27 (8) |
| S80–S89 | Knee and lower leg | 1381 (12) | 844 (19) | 18 (6) |
| S90–S99 | Ankle and foot | 358 (3) | 118 (3) | 5 (2) |
| T00–T07 | Multiple injuries | 47 (0) | 27 (1) | 2 (1) |
| T08, T09 | Unspecified spinal | 80 (1) | 40 (1) | 0 (0) |
| T10, T11 | Unspecified upper limb | 91 (1) | 45 (1) | 4 (2) |
| T12, T13 | Unspecified lower limb | 57 (1) | 29 (1) | 2 (1) |
| T20–T32 | Unspecified burns, multiple injuries | 90 (1) | 28 (1) | 0 (0) |
| Total number in cohort | 11 546 | 4476 | 327 |
ICD-10, International Statistical Classification of Diseases and Related Health Problems, Tenth Revision.
The most common location of injury coded in the hospital admissions data was the face and/or scalp including the orbit, and these areas were most commonly associated with superficial and soft tissue injuries such as bruising, lacerations, cuts, abrasions and open wounds (7079 admissions). The analysis showed that the upper and middle thirds of the face and scalp were the areas most likely to receive superficial injuries.16 The area most likely to be fractured was the mandible, which was fractured in 479 admissions and was almost equal to the sum of the next three most common facial fractures (nasal, maxillary and orbital floor) in hospital admissions for FDV (502 admissions combined).16 The mandible was also likely to be fractured more than once in the cohort of women experiencing the injury, with the 479 admissions being for 144 mothers. The number of admissions for which an injury to other areas of the body is coded is listed in table 3.
After controlling for confounding variables, it was found that mothers with more than one child were 17% more likely to have an assault-related head injury hospitalisation than those with only one child (OR=1.17, p=0.01, 95% CI 1.03 to 1.30). The first year after the birth of a mother’s first child was associated with a 40% greater likelihood of hospitalisation due to assault-related head injury when compared with mothers whose first child was between 7 and 16 years of age (OR=1.40, p=0.03, 95% CI 1.04 to 1.90). Mothers whose first child was between 1 and 6 years of age at the time of assault were 15% more likely to have a hospitalisation for assault-related head injury when compared with mothers whose first child was between 7 and 16 years of age (OR=1.15, p=0.03, 95% CI 1.01 to 1.30). Table 4 shows the OR and 95% CI for the association between head injury and all sociodemographic characteristics examined.
Table 4.
Demographic risk factors for head injury hospitalisation
| Head injury | OR | P value | 95% CI |
| Age group | |||
| 20 and under | 1.12 | 0.37 | 0.88 to 1.43 |
| 21–25 | 1.2 | 0.05 | 1.0 to 1.44 |
| 26–30 | 1.18 | 0.04 | 1.0 to 1.39 |
| 31–35 | 1.03 | 0.72 | 0.87 to 1.21 |
| 36 and over | 1 (base) | ||
| Indigenous status | |||
| Non-Aboriginal | 1 (base) | ||
| Aboriginal | 1.11 | 0.154 | 0.96 to 1.27 |
| SEIFA disadvantage | |||
| 1 (highest disadvantage) | 0.93 | 0.45 | 0.78 to 1.12 |
| 2 | 1.07 | 0.58 | 0.84 to 1.37 |
| 3 | 1.02 | 0.89 | 0.81 to 1.27 |
| 4 | 1.03 | 0.79 | 0.85 to 1.24 |
| 5 (lowest disadvantage) | 1 (base) | ||
| First child’s age when head injury hospitalisation occurred | |||
| Less than 1 year old | 1.42 | 0.02 | 1.05 to 1.92 |
| 1–6 years old | 1.16 | 0.02 | 1.02 to 1.32 |
| 7–16 years old | 1 (base) | ||
| Number of children when head injury hospitalisation occurred | |||
| 1 | 1 (base) | ||
| 2–3 | 1.15 | 0.04 | 1.0 to 1.32 |
| 4 or more | 1.21 | 0.01 | 1.04 to 1.41 |
SEIFA, SocioEconomic Index For Areas.
The most common mode by which injury was inflicted for the entire cohort was ‘assault by bodily force’ (Y0415), with a total of 6445 admissions (55.8%) for 2839 mothers (63.4%). This was followed by ‘assault by blunt object’ (Y0015; 2210 admissions for 588 mothers) and ‘assault by stabbing’ and ‘assault by unspecified means’ (Y09 and X9915; 1717 admissions for 555 mothers). Of the mothers who sustained a head and/or neck injury, over half (58.7%) had an admission where a physical assault code was recorded (4812 admissions for 2150 women), with the next most common being assault with a blunt object (1495 admissions).
Mothers with a head injury were 2.5 times more likely to stay in hospital for less than 72 hours compared with those staying for 10 days or more (OR=2.51, p<0.001, 95% CI 1.81 to 3.49). When length of stay was examined for mothers hospitalised with and without a head injury, 88.5% of mothers with a head injury were found to have had a hospitalisation less than 72 hours in length as compared with mothers without a head injury (72.6%).
Discussion
To our knowledge this is the first study to analyse injury to the head and neck in victims of FDV admitted to hospital using linked longitudinal population-level data. Our findings show that there are important differences between mothers with only one child and those with more than one child, as well as mothers with young children (under 7 years of age) compared with those with older children (7–16 years of age). The most common injuries inflicted were to the face and scalp region in the form of cuts, abrasions, open wounds and bruising. The most common fracture was to the mandible, followed by nasal bone and orbital fractures. Physical assault was the most common mode of inflicting injury in the cohort, followed by assault with a blunt object. We were not able to compare the intrapartum and postpartum periods due to the comparatively limited numbers of admissions during the pregnancy period. However, mothers in the pregnancy period appeared to have a higher proportion of injuries to the trunk, which is consistent with other published literature.5
Previous literature published in the area examining the rates of injury to the head and neck as well as the location, type and mode of injury has generally involved small samples sizes or cross-sectional data only.3 4 17 18 Our study confirms that the proportion of injury to the head and/or neck area associated with hospital admissions for FDV is approximately 71%, which is consistent with published literature in the area, which quotes rates of injury to the head and/or neck area of between 50% and 80%19 in victims of FDV. We believe that the rate we have calculated is on the higher end of the published literature spectrum because injuries from FDV requiring hospital admission are likely to represent the more severe end of the FDV spectrum in turn.
Previous literature also suggests that the most common area of injury to the head and/or neck is the mid-third of the face,19 20 with injuries in this region confined to the soft tissues. Our study confirms that the most common types of injury are soft tissue injuries such as bruising, open wounds and lacerations; however, both the upper and middle thirds of the face and the scalp were equally likely to be injured among mothers in our cohort.
We found that the most common mode of inflicted injury in FDV-related hospital admissions was physical assault, followed by assault with a blunt object, which is consistent with existing literature.19 Given that our cohort of mothers were admitted to hospital as a result of their injuries, it is interesting to note that even when mothers have more severe injuries requiring hospitalisation due to FDV, the mode of injury remains largely unchanged.
Our data demonstrate an over-representation of Aboriginal compared with non-Aboriginal mothers for assault-related admissions (77.7%) and for injury to the head and neck, despite only comprising 3.3% of the population nationally. It has been well established previously2 10–12 that Aboriginal Australians have a significantly higher rate of admission for FDV. This study is the first to examine the types of injuries at the population level. Our analysis demonstrated that Aboriginal mothers had more than three times as many hospital admissions as a result of FDV-related injury than non-Aboriginal mothers, which is consistent with published literature in the area,2 21 although being Aboriginal was not, in itself, associated with a greater risk of assault-related head injury hospitalisation.
The finding that mothers with a head injury are more than twice as likely to stay in hospital for shorter periods (less than 72 hours) is a critical issue for front-line clinicians as there is limited time to engage appropriate services for a victim of FDV admitted to hospital. The need for multidisciplinary team intervention is essential to address the safety, health and well-being issues of mothers. Importantly discussing the needs of the mothers in relation to assisting with the safety of their children should also be considered during hospitalisations, with previous research finding that two-thirds of mothers had children in their care when they experienced violence.22
There are several limitations to this study that need to be considered. First, our findings are limited to describing the more severe cases of FDV, where the victim’s injuries required them to be hospitalised, and thus cannot be generalised to all women experiencing FDV. Second, many episodes of FDV in Australia are not reported,11 particularly those involving Aboriginal Australians, or those in rural and remote areas where access to health services is poor.11 Third, as a retrospective analysis of routinely collected administrative data, other potential confounders such as maternal and paternal education levels, marital status and rurality were not available for our analysis and thus were unable to be included.
This study represents the first attempt to explore FDV-related hospitalisation injury types in a population-level data set. Head injuries are by far the most common type of injury due to FDV. Given the lack of literature in this area, it is imperative that further research is undertaken to explore all injury types and patterns that front-line clinicians may see in a victim of FDV given the ongoing and increasing nature of this issue in our society. In Australia the cost of violence against women and their children, to the healthcare system, in 2015–2016 was estimated at $22 billion.2 It is clear that clinicians will continue to see presentations to hospital and perhaps primary care settings by mothers experiencing FDV, and recognition of injury types may help to prevent further admissions or episodes of FDV by engaging the appropriate services to assist mothers to improve their safety and well-being.
Conclusions
Mothers with an assault-related hospitalisation for an FDV-related injury are at significant risk of an injury to the head and/or neck. Of particular risk are mothers with young children and those with more than one child, even after controlling for other factors. Given that these assault hospitalisations are most likely due to FDV, the impact that this has on the mothers, their children and the ongoing cost to society and the healthcare system, care needs to be taken by clinicians to assess the injuries of women presenting to them and to consider the possibility of FDV where warranted. We believe our results to be generalisable to other populations due to the robustness of the data linkage,7 8 23 the prevalence of FDV globally,1 and other literature from smaller studies cited in this paper which have supported our findings in regard to head injury characteristics. While efforts are underway to improve the health gap in Aboriginal Australians in comparison with non-Aboriginal Australians, it is clear that more efforts need to be made to reduce the burden of FDV among Aboriginal mothers. The United Nations has identified reducing violence against women as part of its 2030 sustainable development goals,24 and therefore this issue should be seen as a priority within health and community settings.
Supplementary Material
Acknowledgments
The authors acknowledge the partnership of the Western Australian Government Departments of Health, Communities, Education and Justice, which provided data for this project. The authors also want to thank the Data Linkage Branch of the WA Department of Health for linking the data.
Footnotes
Contributors: VMB was responsible for study design, data analysis, manuscript drafting and final write-up. MKB assisted with study design, data analysis and manuscript drafting. JC assisted with study design, manuscript editing and write-up review. DP assisted with study design, data analysis planning and manuscript editing. LS-S assisted with study design, manuscript drafting and write-up review. MO’D collected the data, and assisted with study design, manuscript drafting and final editing.
Funding: VMB has been supported by a Research Training Program (RTP) Fees Offset Scholarship.
Competing interests: None declared.
Provenance and peer review: Not commissioned; externally peer reviewed.
Data availability statement
Data may be obtained from a third party and are not publicly available. Data are kept securely by the Data Linkage Branch of the Western Australian Department of Health and can be accessed and linked on request once security processes have been followed.
Ethics statements
Patient consent for publication
Not required.
Ethics approval
Ethics approval for this study was obtained from the WA Department of Health Human Research Ethics Committee (#2012/37), the WA Aboriginal Health Ethics Committee (waiver) and the University of Western Australia Human Research Ethics Committee (waiver).
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Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Supplementary Materials
Data Availability Statement
Data may be obtained from a third party and are not publicly available. Data are kept securely by the Data Linkage Branch of the Western Australian Department of Health and can be accessed and linked on request once security processes have been followed.

