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United States Emergency Department Visits Coded for Intimate Partner Violence
Abstract
Background
Limited information exists about medical treatment for victims of intimate partner violence (IPV)
Objective
Our aim was to estimate the number of emergency department (ED) visits and subsequent hospitalizations that were assigned a code specific to IPV and to describe the clinical and sociodemographic features of this population.
Methods
Data from the Nationwide Emergency Department Sample from 2006–2009 were analyzed. Cases with an external cause of injury code of E967.3 (battering by spouse or partner) were abstracted.
Results
From 2006–2009, there were 112,664 visits made to United States EDs with an e-code for battering by a part-ner or spouse. Most patients were female (93 %) with a mean age of 35 years. Patients were significantly more likely to reside in communities with the lowest median income quar-tile and in the Southern United States. Approximately 5% of visits resulted in hospital admission. The mean charge for treat-and-release visits was $1904.69 and $27,068.00 for hospitalizations. Common diagnoses included superficial injuries and contusions, skull/face fractures, and complications of pregnancy. Females were more likely to experience superficial injuries and contusions, and males were more likely to have open wounds of the head, neck, trunk, and extremities.
Conclusions
From 2006 to 2009, there were approximately 28,000 ED visits per year with an e-code specific to IPV. Although a minority, 7% of these visits were made by males, which has not been reported previously. Future prospective research should confirm the unique demographic and geographic features of these visits to guide development of targeted screening and intervention strategies to mitigate IPV and further characterize male IPV visits.
Introduction
Each year in the United States (US), nearly 7 million women and 5.6 million men experience rape, physical violence, or stalking by an intimate partner (1). Intimate partner violence (IPV) results in injury for approximately 15% of women and 4% of men—half of which require medical care as a result of IPV (1). The emergency department (ED) is often the first point of care for victims of IPV experiencing acute injuries (2). Up to 14% of female patients treated in the ED are there for IPV-related conditions. In addition, between 5% and 38% of all women seen in the ED report experiencing IPV in the previous year (3).
Although a significant body of literature has emerged examining the prevalence of IPV in health care set-tings, as well as the effectiveness of IPV screening and intervention efforts, limited information exists about the medical treatment that victims of IPV receive (3—9). In addition, aggregate data about specific injuries and costs associated with IPV that can be gleaned from patient medical and billing records are garnered mostly from statewide surveillance systems, which precludes generalizability to the entire US population (10—13). Nationally representative estimates on this topic are dated or focus solely on treat-and-release ED visits (14—17).
Victims of IPV report having more unmet health care needs than nonvictims, despite utilizing the health care system more frequently and having higher medical expenses (3,18—20). In addition, in both ED and inpatient settings, patients seeking care for complaints unrelated to violence will often return for treatment for injuries as a result of IPV at a later date (3,21—24). One study found that women murdered by an intimate partner had an ED visit in the 2 years before their death, and the vast majority had at least one injury-related visit (25). These statistics underline the imperative for identifying patients who may be experiencing violence, yet a debate is still ongoing about the risks and benefits of universal screening for IPV in health care settings. The development of a targeted screening protocol for patients who may be experiencing IPV, but may not disclose to their provider, will not only give a more complete picture of the health care they receive, but can also establish a risk profile that can ultimately aid in appropriate diagnosis and management of these patients.
The objective of this study was to estimate the number of ED visits and subsequent hospitalizations that were as-signed a code specific to IPV in the US from 2006–2009 and to describe the clinical and socio demographic features of this population.
Methods
Study Design
This was a retrospective cohort study utilizing 4 years (2006—2009) of data from the Nationwide Emergency Department Sample (NEDS), Healthcare Cost and Utilization Project (HCUP), Agency for Healthcare Research and Quality (26). The NEDS database uses a stratified, multi-stage sampling technique designed to provide nationally representative estimates of US ED visits for a given year. It is the largest all-payer ED database in the US and contains between 25 and 30 million records from > 950 hospitals per year. A list of data partners that contribute to HCUP can be found at www.hcup-us.ahrq.gov/hcupdatapartners.jsp and the underlying methodology and sampling strategy for the HCUP databases, including the NEDS, can be found at http://www.hcup-us.ahrq.gov/reports/methods/methods_topic.jsp. Because data contained in the NEDS are de-identified, this study does not meet the definition of human subjects research.
Study Population
Each record contained in the NEDS can contain up to four External Cause of Injury codes (e-codes). Cases with an e-code of E967.3 (battering by spouse or partner) were abstracted if the code was present in any of the four fields. This code was originally assigned in 1996 and has not changed over time (27). Although e-codes are underutilized, this particular code has been shown to correctly identify 96% of confirmed cases of IPV (11).
Measurements
The following information was examined for each record: disposition, sex, age, expected payer, median income quartile, geographic region, charges, primary discharge diagnoses, and primary procedures performed. Diagnoses and procedures were grouped using Clinical Classifications Software (CCS) codes. This software collapses nearly 14,000 diagnosis codes and 3700 procedure codes into a smaller number of meaningful categories.
Data Analysis
Data analysis was carried out using SAS (SAS Institute, Inc., Cary, NC)-Callable SUDAAN 10.0 (RTI International., Research Triangle Park, NC) to produce unbiased standard errors and construct 95% confidence intervals around weighted national estimates. To ensure accurate variance estimates, all records were included in the analysis. Final estimates of ED visits were verified through Agency for Healthcare Research and Quality's HCUPnet—an online query system that can provide regional and national estimates for all patients in the HCUP databases, including the NEDS (http://hcupnet.ahrq.gov). Differences were considered statistically significant when the confidence intervals did not overlap. Statistical significance was set to p < 0.05 for all analyses. With the exception of charge data, missing data for each variable ranged from 0.02% to 2.99%. Given that total missing data for all variables other than charges did not exceed 5%, no imputations were performed. To account for records with missing charge data, total charges were estimated by taking the product of the number of cases times the average charge as suggested by HCUP (26).
Results
Based on HCUP NEDS estimates, there were a total of 496,195,793 visits made to US EDs from 2006 to 2009, 112,664 of which had an e-code for battering by an intimate partner or spouse in the billing record. The mean annual estimate for the 4-year period was 28,166 visits. The demographic characteristics of the sample, stratified by discharged vs. admitted, are presented in Table 1. Visits were made mostly by female patients (93%). Mean age of the entire sample was 35 years and male patients were significantly older (40.42 years; 95% confidence interval [CI] 39.57—41.27) than female patients (34.74 years [95% CI 34.50-34.97]) presenting with IPV-related injuries. Approximately 5% of visits resulted in admission to the hospital. Patients that were treated and released from the ED were significantly younger than those admitted (34.52 years [95% CI 34.29-34.75] vs. 45.67 years [95% CI 44.63-46.71]). Most patients were self-pay, had private insurance, or used Medicaid as their primary payer, with a small number of patients covered by Medicare or other sources. In addition, patients were significantly more likely to reside in communities with the lowest median income quartile (≤$38,999) (34.21% [95% CI 31.84—36.65]) compared to all other income categories (2nd quartile, 28% [95% CI 26.14-29.94], 3rd quartile, 20.51% [95% CI 19.19-21.90], and 4th quartile, 14.30% [95% CI 12.91-15.81]). Visits were also more likely to occur at EDs in the Southern region of the United States (34.80% [95% CI 31.76-37.96]) compared with the Northeast (19.47% [95% CI 16.75-22.52]), Midwest (25.79% [95% CI 23.09-28.69]), and West (19.94% [95% CI 17.77-22.30]).
Table 1
| Characteristic | Treated and Released | Admitted to Hospital | Overall |
|---|---|---|---|
| Total, n (%) | 103,209(91.61) | 5756(5.11) | 112,664 |
| Mean age (years) | 34.52 | 45.67* | 35.11 |
| Sex, n (%) | |||
| Male | 6757 (6.55) | 473 (8.22) | 7511 (6.67) |
| Female | 96,439 (93.45) | 5280(91.78) | 105,135(93.32) |
| Payer, n (%) | |||
| Medicare | 5837 (5.66) | 1315(22.84) | 7315(6.49) |
| Medicaid | 30,351 (29.58) | 1716(29.81) | 33,168(29.44) |
| Private insurance | 29,336 (28.42) | 1214(21.09) | 31,692(28.13) |
| Self-pay | 30,824 (29.87) | 1049(18.22) | 33,141 (29.42) |
| Other/no charge | 6033 (5.85) | 454 (7.88) | 6683 (5.93) |
| Urban-rural location,† n (%) | |||
| Metropolitan | 71,502 (77.25) | 4899(85.12) | 89,868 (79.77)* |
| Non-metropolitan | 20,243(19.61) | 802(13.92) | 21,788(19.34) |
| Income,‡ n (%) | |||
| 1st quartile | 35,339 (34.24) | 1940(33.71) | 38,537 (34.21)* |
| 2nd quartile | 29,326(28.41) | 1389(24.13) | 31,544(28.00) |
| 3rd quartile | 21,066(20.41) | 1327(23.05) | 23,107(20.51) |
| 4th quartile | 14,395(13.95) | 900(15.64) | 16,110(14.30) |
| Region of hospital, n (%) | |||
| Northeast | 20,860 (20.21) | 924(16.06) | 21,939(19.47) |
| Midwest | 26,910(26.07) | 1368(23.76) | 29,054 (25.79) |
| South | 34,588(33.51) | 2159(37.51) | 39,205 (34.80)* |
| West | 20,852 (20.20) | 1305(22.67) | 22,465(19.94) |
| Trauma center status, n (%) | |||
| Trauma center | 38,513(37.48) | 2931 (50.93) | 42,883 (38.06) |
| Nontrauma center | 64,697 (62.69) | 2825 (49.08) | 69,781 (61.94)* |
Estimates are weighted numbers of visits. Percentages are column percentages. Numbers may not add to 100% due to missing data.
Table 2 shows the mean and total charges for visits resulting in discharge from the ED and those that required admission to the hospital. Mean charge for those treated and released was $1904.69 and $27,068.00 for admitted patients. There were no significant differences in mean charges based on sex. During the 4-year period, visits and subsequent admissions for IPV resulted in > $300,000,000 in charges. The most common primary diagnosis for the visits was superficial injury and contusion. Other common primary diagnoses included the following: injuries and conditions due to external causes, sprains and strains, open wounds of head, neck, and trunk, skull and face fractures, and complications of pregnancy (Table 3). Females were significantly more likely to have superficial injuries and contusions (34.15% [95% CI 32.85-35.47] vs. males, 27.51% [95% CI 25.11-30.04] males), as well as sprains and strains (8.07% [95% CI 7.57-8.60] vs. males, 2.90% [95% CI 2.16-3.90]), and males were more likely to have open wounds of the head, neck, or trunk (19.76% [95% CI 17.82-21.85] vs. females, 6.15% [95% CI 5.79-6.53]) and open wounds of extremities (9.92% [95% CI 8.46-11.61] vs. females, 1.68% [95% CI 1.66-2.02]). As can be seen in Table 4, suture of skin and subcutaneous tissue was the most common principal procedure performed on patients. Males were significantly more likely to undergo suture of skin and subcutaneous tissue (43.06% [95% CI 36.99-49.35] vs. females, 17.78% [95% CI 15.23-20.64]), and females were more likely to receive traction, split, and wound care (10.73% [95% CI 8.70-13.8] vs. males, 4.92% [95% CI 2.98-8.02]), as well as diagnostic radiology techniques (14.22% [95% CI 10.49-18.98] vs. males, 4.30% [95% CI 2.04-8.85]) and computed tomography scans (10.95% [95% CI 8.73-13.64] vs. males, 3.05% [95% CI 1.64-5.60]).
Table 2
| Charges | Treated and Released in ED | Admitted to Hospital* |
|---|---|---|
| Charge ($), mean(95% CI) | ||
| Male | 1782.51 (1602.19-1962.83) | 38,234.74 (27,951.98-48,517.50) |
| Female | 1912.95(1840.64-1985.26) | 26,068.92 (23,414.10-28,723.73) |
| Overall | 1904.69(1830.60-1978.77) | 27,068.00 (24,349.76-29,786.24) |
| Total charge ($) | ||
| Male | 9,636,249.06 | 17,893,858.32 |
| Female | 152,888,702.90 | 136,470,796.20 |
| Overall | 162,525,293.00 | 154,395,872.00 |
CI = confidence interval; ED = emergency department.
Table 3
| CCS Category and Description | Females, n (%) [95% CI] | Males, n (%) [95% CI] |
|---|---|---|
| Diagnoses | ||
| Superficial injury, contusion | 35,887 (34.15) [32.85–35.47] | 2066 (27.51) [25.11–30.04] |
| Other injuries and conditions due to external causes | 23,539 (22.40) [20.52–24.39] | 1425 (18.98) [16.31–21.96] |
| Sprains and strains | 8481 (8.07) [7.57–8.60] | 218 (2.90) [2.16–3.90] |
| Open wounds of head, neck, and trunk | 6465 (6.15) [5.79–6.53] | 1484 (19.76) [17.82–21.85] |
| Skull and face fractures | 3604 (3.43) [3.16–3.72] | 198 (2.64) [1.96–3.56] |
| Other complications of pregnancy | 3461 (3.29) [2.94–3.69] | — |
| Intracranial injury | 2911 (2.77) [2.50–3.07] | 177 (2.35) [1.70–3.24] |
| Fracture of upper limb | 1925 (1.83) [2.94–3.69] | 145 (1.93) [1.32–2.83] |
| Open wounds of extremities | 1766 (1.68) [1.66–2.02] | 745 (9.92) [8.46–11.61] |
| Spondylosis, invertebral disc disorders; other back problems | 1692 (1.61) [1.40–1.88) | 64 (0.85) [0.49–1.49] |
CCS = Clinical Classification Software; CI = confidence interval.
Table 4
| CCS Category and Description | Females,* n (95% CI) | Males.† n (95% CI) |
|---|---|---|
| Procedures | ||
| Suture of skin and subcutaneous tissue | 3213 (17.78) [15.23–20.64] | 742 (43.06) [36.99–49.35] |
| Diagnostic procedures (interview, evaluation, consultation) | 3181 (17.60) [14.04–21.82] | 225 (13.05) [8.17–20.22] |
| Other diagnostic radiology and related techniques | 2570 (14.22) [10.49–18.98] | 74 (4.30) [2.04–8.85] |
| Computed axial tomography scan | 1979 (10.95) [8.73–13.64] | 53 (3.05) [1.64–5.60] |
| Traction, splits, and other wound care | 1940 (10.73) [8.70–13.18] | 85 (4.92) [2.98–8.02] |
| Other therapeutic procedures | 1553 (8.59) [6.66–11.01] | 97 (5.64) [2.96–10.47] |
| Other non-therapeutic procedures on nose, mouth and pharynx | 634 (3.51) [2.75–4.46] | 79 (4.59) [2.51–8.26] |
| Prophylactic vaccinations and inoculations | 535 (2.96) [2.20–3.98] | 86 (4.98) [3.02–8.09] |
| Other therapeutic procedures on eyelids, conjunctiva, cornea | 437 (2.42) [1.84–3.17] | 73 (4.23) [2.57–6.87] |
| Routine chest x-ray | 353 (1.95) [1.36–2.78] | 23 (1.33) [0.57–3.09] |
CCS = Clinical Classification Software; CI = confidence interval.
Discussion
These findings are consistent with previous research using national probability samples to estimate IPV visits to the ED. Btoush et al. examined ED visits coded for IPV using data from the National Hospital Ambulatory Medical Care Survey (NHAMCS) from 1997 to 2001 (14). The authors found 94% of visits were made my females and the mean age of patients was 35.5 years. The majority of patients lived in metropolitan areas, 38% were uninsured, and 31% had private insurance. Our study replicates these findings with more recent data. However, Btoush et al. reported an estimated 80,000-120,000 IPV-related ED visits annually, while our data estimates are closer to 28,000 visits per year (14). This discrepancy is almost certainly due to the use of different definitions for what is considered an IPV-related visit. The authors of earlier studies have intentionally chosen broader maltreatment codes to identify IPV (eg, adult maltreatment, unspecified; adult physical abuse; adult emotional/psychological abuse; adult sexual abuse), which may characterize abuse perpetrated by individuals other than intimate partners (eg, elder abuse, as-sault by a stranger, abuse between adult siblings, parental abuse toward adult children). We purposely selected only cases with an e-code (E967.3) that specified injuries were the result of violence by an intimate partner. In addition, the previously mentioned underutilization of e-codes may account for the differences between our estimates and those found in previous studies.
Our data corroborate previous studies of IPV-related injuries and treatment. IPV victims present to the ED with multiple complaints and injuries, often with contusions, lacerations, abrasions, and fractures to multiple body sites, especially the head, face, and neck (10,28—32). In their analysis of IPV and non—IPV-related assaults, Yau et al. found that IPV victims were significantly more likely to have head injuries than victims of non-IPV assaults (10). Earlier nationally representative data show the most common diagnoses for IPV-related ED visits to be injury to upper or lower extremities and injuries to the head, neck, and trunk, and that diagnostic/radiologic testing and wound care is often performed during IPV visits (17). A substantial proportion of such diagnoses and procedures were observed in IPV-related visits in the current study as well.
Although most of these findings further validate what is already known about ED visits coded for IPV on a national level, the current study adds several important elements to the literature on this topic, where earlier research was limited. First, the most current nationally representative data on this topic are now more than a decade old and, given the recent focus on IPV screening in health care settings, up-to-date estimates are needed (14,15,17). In addition, earlier studies concentrated solely on ED visits coded for IPV and did not offer specific information (such as principal diagnoses, procedures, and charges) about visits to the ED that resulted in admission. We were able to stratify our results by disposition status and report data on cases that were severe enough to warrant admission to the hospital. Small sample sizes in other studies precluded the ability to provide information about male victims of IPV, but our study provides information about the treatment of IPV perpetrated against male victims. Finally, earlier studies have intentionally cast a wide net with the inclusion of multiple codes that may characterize IPV, making it impossible to discern the perpetrator of the violence. The use of an e-code assigned specifically for IPV (that has a 96% sensitivity rate) increases the probability that the cases included in this study represent IPV and not violence committed by other groups of perpetrators, although likely under-estimates the true magnitude of the problem.
Limitations
Our study limitations relate to the retrospective nature of the data as well as the realities of conducting research with health care data. Because data were not originally collected for the purposes of this study, we were not able to examine other variables that may have been of interest to the study's purpose. In addition, because NEDS data are deidentified, specific patient-level information about the ED visit or hospitalization that may be present in the medical record that would have provided additional insight into the care provided during the visit or narratives provided by the victims could not be obtained. Other databases that have the potential to produce weighted estimates, such as NHAMCS, can offer more specific patient-level information, such as medication usage and specific types of laboratory and imaging tests ordered. However, the NEDS is the largest all-payer ED database in the US and contains millions more records per year than other similar databases. For example, the 2009 NHAMCS database has 34,942 records vs. 28,861,047 in the 2009 NEDS. The size of the NEDS allows re-searchers to study important and costly conditions, such as IPV, that may not have had large enough unweighted samples sizes in other databases to permit analysis in the past. It is important to note that the NEDS provides estimates on numbers of ED visits as opposed to number of patients, therefore, the same patient can be represented multiple times in the data if they visited the hospital more than once for the same complaint, which could be possible with IPV-related conditions. A final limitation to the current study is the underutilization of e-codes in health care billing data. Because they are not required for reimbursement, hospitals in the US are inconsistent with the use of e-codes, and they appear in < 20% of IPV-related visits (33). Examining more general adult maltreatment and abuse ICD-9-CM codes will result in more cases of IPV, but will also result in inflated estimates of visits related to IPV because the perpetrator cannot be identified using such codes. Although using the E967.3 e-code grants more specificity, we recognize that the annual visit estimates are likely underestimates and the actual estimates of ED visits for IPV could be up to five times higher than the estimates reported in this study.
Conclusions
During the 4-year study period, there were 112,664 visits to US EDs for IPV with an e-code for battering by an intimate partner or spouse. The vast majority were female patients from lower-income communities in metropolitan regions. Visits from self-pay, privately insured, and Medicaid patients were equally represented in the data. Discharge diagnoses included mostly non-life threatening injuries. The cost of these visits totaled > $300 million from 2006–2009–close to $80 million annually. Future prospective research should confirm the unique demographic and geographic features of these visits to guide development of targeted screening and intervention strategies to mitigate IPV, and further characterize male IPV visits.
