Abstract
Background
US emergency department (ED) visits for burns and factors associated with inter-facility transfer are unknown and described in this manuscript.
Methods
We conducted a retrospective analysis of burn-related injuries from 2009–2014 using the Nationwide Emergency Department Sample (NEDS), the largest sample of all-payer datasets. We included all ED visits by adults with a burn related ICD-9 code and used a weighted multivariable logistic regression model to predict transfer adjusting for covariates.
Results
Between 2009–2014, 3,047,701 (0.4%) ED visits were for burn related injuries. A total of 108,583 (3.6%) burn visits resulted in inter-facility transfers occurred during the study period, representing approximately 18,097 inter-facility transfers per year. Burns with greater than 10% total body surface area (TBSA) resulted in a 10-fold increase in the probability of transfer, compared to burn visits with less than 10% TBSA burns. In the multivariable model, male sex (adjusted odds ratio [aOR] 2.4, 95% CI 2.3–2.6) was associated with increased odds of transfer. Older adults were more likely to be transferred compared to all other age groups. Odds of transfer were increased for Medicare and self-pay patients (vs. private pay) but there was a significant interaction of sex and payer and the effect of insurance varied by sex.
Conclusions
In a national sample of ED visits, burn visits were more than twice as likely to have an inter-facility transfer compared to the general ED patient population. Substantial sex differences exist in U.S. EDs that impact the location of care for patients with burn injuries and warrants further investigation.
Supplementary Information
The online version contains supplementary material available at 10.1186/s12873-022-00705-6.
Keywords: Burns, Inter-facility transfer, Disparities, Emergency medicine
Introduction
Emergency departments (EDs) in the United States (U.S.) care annually for over 400,000 patients with burn related injuries. Approximately 3275 of these result in death [1, 2]. Over the last several decades a network of regionalized burn centers have been developed throughout the U.S. alongside the development of published burn center referral criteria by the American Burn Association [3, 4]. Specialized burn centers are analogous to trauma centers in their availability of institutional resources and burn specialists to care for the significant morbidity and mortality associated with severe burns. Similar to trauma centers, specialized burn centers are limited in their availability and require inter-facility transfer for patients to access a higher level of care.
The ED is an important first step in burn care as up to 92% of burn injuries present to EDs, which are infrequently affiliated with a specialized burn center [5]. In 2008, the U.S. had 128 burn centers (51 ABA verified) [6] across the greater than 4500 hospital-based emergency departments in the country during the same time [7]. Inter-facility transfer of patients with burns, and the appropriateness of these transfers, are important areas of investigation as there is highly variable adherence to burn center transfer criteria, [5, 6, 8–10] contributing to under- and over-triage of patients to burn centers. For example, in a national evaluation of the pediatric population using the Nationwide ED Sample (NEDS), 54% met criteria for appropriateness for referral, while only 8% were actually transferred [11]. In the adult burn population, a contributing factor to potentially inappropriate inter-facility transfers may be the poor provider estimation of Total Body Surface Area (TBSA) [12–14]. However, research on adult burns—which represent a much larger proportion of the population of burn patients—has been under-investigated with most research using single site studies or burn center data registries.
Research on inter-facility transfers of burns and other emergencies have found that non-clinical factors such as insurance status and patient sex are associated with transfers [15–17]. Moreover, inter-facility transfers are events that represent a costly, time-consuming, and disruptive experience for patients and their families, [18] highlighting the need for research in this area. Thus, the primary objective of this study was to describe the patient and hospital characteristics of burn visits to U.S. EDs on a national level and to better understand characteristics associated with inter-facility transfers.
Methods
This was a retrospective analysis of burn-related injuries presenting to U.S. EDs recorded in the Nationwide Emergency Department Sample (NEDS) from calendar years 2009 to 2014. We limited our timeframe to these years given the switch in diagnostic codes from International Classification of Diseases, Ninth Revision, Clinical Modification (ICD-9-CM) to the 10th revision (i.e., ICD-10). NEDS is a nationally representative all-payer dataset of ED visits compiled by the Agency for Healthcare Research and Quality (AHRQ) and includes approximately 20% of all ED visits across the U.S. Using a weighted sampling methodology, NEDS allows for nationally and regionally weighted estimates. A complete description of the methodology behind NEDS sampling and estimates can be found on the AHRQ website [19].
We included all ED visits by adults (age ≥ 18 years) with a burn related ICD-9-CM diagnosis code. A complete listing of included ICD-9-CM codes are listed in the Supplemental Table 1. The primary outcome was inter-facility transfer after initially being evaluated for burn related injuries in the ED and was defined by the variable EDevent with “ED visit in which the patient is transferred to another short-term hospital.” Covariates included age, sex, payer, burned body region, visit day, year, hospital region, and hospital type.
We report weighted estimates of burn injury prevalence. Continuous variables were reported as mean and standard deviation or median and interquartile ranges as appropriate, and categorical variables were reported as proportions. Using a multivariable logistic regression model, we estimated adjusted odds ratios and 95% confidence intervals for predictors of inter-facility transfers in burn injured patients. Model covariates were selected a priori and included age, sex, payer, interaction of sex and payer, burned body region, visit day, year, and hospital region and type. Only ED encounters with complete case data across covariates were included in logistic regression modeling, and no imputation was performed for missing data. A sensitivity analysis was performed calculating E-Values for covariates in our model, which helps estimate how strong of an effect an unmeasured confounder would need have to question the observed associations between model covariates and likelihood of inter-facility transfer [20]. All statistical analyses were conducted using SPSS 28.0 (IBM Corporation, Armonk, NY) and SPSS Complex Samples Package. This study was exempted by the Vanderbilt University Institutional Review Board.
Results
Among the estimated 794,203,110 overall ED visits during the six-year study period, an estimated 3,047,701 (0.4%) visits were by patients with burn-related injuries in this sample. Among all burn-related ED visits during the six-year period, 108,563 (3.6%) resulted in an inter-facility transfer. Amongst ED visits for any reason in the sample, there were 12,076,331 (1.5%) ED visits that resulted in inter-facility patient transfer. The proportion of burn-related ED visits by sex and insurance status that result in transfer remained steady over the 6-year period (Fig. 1). The mean age among all adult burn patients was 40 (standard deviation 17) years and 47% were female. Among all adult burn patients, private health insurance and self-pay were the most common payment sources (30 and 22%, respectively). Overall, 50% of all adult burn patients had burns involving a high-risk body region (including eyes, face, head, neck, airway, or hands), with 4.2% resulting in inter-facility transfer compared to 2.1% transferred in the burns without involvement of high-risk body regions. Among ED visits with a TBSA recorded of >10, 22.6% resulted in inter-facility transfer, compared to 2.7% among burn visits with TBSA <10%. Additional patient and hospital descriptive statistics are outlined in Table 1, and burn transfers are stratified by high-risk body region as outlined in Table 2.
Table 1.
Encounter With Transfer (N = 108,583) | Encounter Without Transfer (N = 2,939,117) | Total (N = 3,047,701) | |||
---|---|---|---|---|---|
N | (%) | N | (%) | N | |
Age (mean, SD) | 43 | (17) | 40 | (17) | 40 (17) |
Age | |||||
18–34 | 26,307 | 2.7% | 965,205 | 97.3% | 991,512 |
35–44 | 12,099 | 2.9% | 404,548 | 97.1% | 416,647 |
45–54 | 13,587 | 3.5% | 377,725 | 96.5% | 391,312 |
55–64 | 9039 | 3.8% | 227,150 | 96.2% | 236,189 |
65–74 | 5486 | 4.4% | 117,965 | 95.6% | 123,451 |
75–84 | 2742 | 4.5% | 58,714 | 95.5% | 61,456 |
>84 | 1148 | 4.6% | 24,065 | 95.4% | 25,214 |
Sex | |||||
Male | 50,952 | 4.3% | 1,140,348 | 95.7% | 1,191,300 |
Female | 19,426 | 1.8% | 1,034,407 | 98.2% | 1,053,833 |
Primary Payer | |||||
Medicare | 12,835 | 3.8% | 321,646 | 96.2% | 334,481 |
Medicaid | 9998 | 2.4% | 407,500 | 97.6% | 417,497 |
Self Pay | 17,410 | 3.5% | 476,516 | 96.5% | 493,927 |
Other | 9762 | 3.0% | 313,329 | 97.0% | 323,091 |
Private | 20,158 | 3.0% | 649,456 | 97.0% | 669,614 |
Burns of Eye / Face / Head/ Neck / Airway / Wrists or Hands | |||||
No | 23,230 | 2.1% | 1,098,399 | 97.9% | 1,121,629 |
Yes | 47,178 | 4.2% | 1,076,973 | 95.8% | 1,124,152 |
Region of hospital | |||||
Northeast | 7844 | 1.8% | 425,629 | 98.2% | 433,474 |
Midwest | 20,697 | 3.8% | 522,965 | 96.2% | 543,662 |
South | 30,199 | 3.4% | 866,955 | 96.6% | 897,154 |
West | 11,668 | 3.1% | 359,823 | 96.9% | 371,491 |
Teaching status of hospital | |||||
Metropolitan non-teaching | 28,144 | 3.3% | 829,619 | 96.7% | 857,763 |
Metropolitan | 19,890 | 2.2% | 896,794 | 97.8% | 916,684 |
Non-metropolitan hospital | 22,374 | 4.7% | 448,959 | 95.3% | 471,333 |
Trauma level designation | |||||
Non-Trauma | 54,826 | 3.4% | 1,540,201 | 96.6% | 1,595,027 |
Trauma | 14,587 | 2.4% | 584,081 | 97.6% | 598,668 |
Year | |||||
2009 | 11,156 | 3.0% | 363,001 | 97.0% | 374,157 |
2010 | 11,316 | 2.9% | 375,079 | 97.1% | 386,395 |
2011 | 11,898 | 3.3% | 352,311 | 96.7% | 364,209 |
2012 | 11,860 | 3.1% | 368,649 | 96.9% | 380,508 |
2013 | 11,948 | 3.3% | 349,133 | 96.7% | 361,081 |
2014 | 12,231 | 3.2% | 367,199 | 96.8% | 379,430 |
Table 2.
Encounter With Transfer (N = 108,583) | Encounter Without Transfer (N = 2,939,117) | Total (N = 3,047,701) | |||
---|---|---|---|---|---|
N | % | N | % | N | |
940 Burns confined to eye and adnexa | 2475 | 1.6% | 152,535 | 98.4% | 155,010 |
941 Burns of face, head, and neck | 29,192 | 9.5% | 279,084 | 90.5% | 308,277 |
942 Burns of trunk | 18,628 | 6.9% | 250,420 | 93.1% | 269,047 |
943 Burns of upper limb, except wrist and hand | 24,887 | 5.3% | 448,624 | 94.7% | 473,511 |
944 Burns of wrist(s) and hands(s) | 27,402 | 3.7% | 716,369 | 96.3% | 743,771 |
945 Burns of lower limb(s) | 19,680 | 4.2% | 454,530 | 95.8% | 474,210 |
946 Burns of multiple specified sites | 3961 | 17.2% | 19,037 | 82.8% | 22,998 |
947.1 Burn of larynx, trachea, and lungs | 373 | 17.7% | 1739 | 82.3% | 2112 |
947.9 Burn of internal organ unspecified | 77 | 11.8% | 574 | 88.2% | 651 |
TBSA | |||||
948.0, <10% | 18,161 | 2.7% | 645,464 | 97.3% | 663,625 |
948.1, 10–19% | 8152 | 19.1% | 34,427 | 80.9% | 42,579 |
948.2, 20–29% | 3612 | 30.5% | 8228 | 69.5% | 11,840 |
948.3, 30–39% | 1909 | 34.8% | 3583 | 65.2% | 5492 |
948.4, 40–49% | 867 | 31.2% | 1915 | 68.8% | 2782 |
948.5, 50–59% | 550 | 31.6% | 1189 | 68.3% | 1740 |
948.6, 60–69% | 301 | 30.8% | 675 | 69.2% | 976 |
948.7, 70–79% | 255 | 27.8% | 663 | 72.2% | 918 |
948.8, 80–89% | 63 | 11.8% | 470 | 88.2% | 533 |
948.9, >90% | 237 | 6.3% | 3500 | 93.7% | 3737 |
949 Burn, unspecified | 997 | 2.8% | 34,388 | 97.2% | 35,385 |
506 Respiratory conditions due to chemical fumes and vapors | 699 | 1.5% | 47,373 | 98.5% | 48,072 |
692.71 Sunburn | 488 | 0.3% | 148,107 | 99.7% | 148,595 |
692.76 Second Degree sunburn | 127 | 0.4% | 34,535 | 99.6% | 34,662 |
692.77 Third Degree Sunburn | 3 | 0.7% | 400 | 99.0% | 404 |
After controlling for all variables in our multivariable logistic regression model (Table 3), male sex was found to be the strongest predictor of inter-facility transfer (adjusted odds ratio [aOR] 2.4, 95% CI 2.3–2.6). All age groups had decreased odds of transfer compared with the oldest group (>84 years). While the difference in odds decreased with each increase in category there is still considerable overlap in the confidence intervals. Medicare (aOR 1.3, 95% CI 1.2–1.4) and self-pay (aOR 1.3, 95% CI 1.0–1.6) encounters had increased odds of transfer, compared to privately insured. The estimated odds of transfer were lower among those with “other” insurance coverage relative to privately insured. However, there was a significant interaction of sex and payer. The estimated odds ratio of transfer with respect to insurance varied across sex. While those with “other” insurance (which includes worker’s compensation, TRICARE, healthcare for military families, and other state and local government programs) [19] had decreased odds of transfer, males with “other” insurance still had increased odds of transfer (aOR 1.5, 95% CI 1.3–1.7), compared to females with other insurance. Medicare encounters had increased odds of transfer, but males with Medicare had slightly decreased odds of transfer, compared to females. There was no difference in self-pay cases. The remainder of variables can be seen in Table 3. In our sensitivity analysis to estimate potential unmeasured confounding, we found that male sex had an E-Value of 4.24, with an E-Value of the confidence interval closest to the null for male sex of 3.91 (Supplemental Table 2).
Table 3.
Adjusted Odds Ratio (aOR) | 95% Confidence Interval | ||
---|---|---|---|
Lower | Upper | ||
Age, (years) | |||
18–34 | 0.5 | 0.4 | 0.5 |
35–44 | 0.5 | 0.4 | 0.6 |
45–54 | 0.6 | 0.5 | 0.7 |
55–64 | 0.7 | 0.6 | 0.8 |
65–74 | 0.8 | 0.7 | 0.9 |
75–84 | 0.9 | 0.8 | 1.0 |
>84 | ref | ||
Sex | |||
Male | 2.4 | 2.2 | 2.6 |
Female | ref | ||
Insurance | |||
Medicare | 1.3 | 1.2 | 1.4 |
Medicaid | 1.0 | 0.9 | 1.1 |
Self | 1.3 | 1.0 | 1.6 |
Other | 0.7 | 0.6 | 0.8 |
Private | ref | ||
High Risk Body Region (Eye / Face / Head/ Neck / Airway / Wrists or Hands) | |||
No | 0.5 | 0.5 | 0.5 |
Yes | ref | ||
Day of Week | |||
Weekday | 0.9 | 0.9 | 1.0 |
Weekend | ref | ||
Region of Hospital | |||
Northeast | 0.7 | 0.6 | 0.7 |
Midwest | 1.3 | 1.2 | 1.4 |
South | 1.1 | 1.1 | 1.2 |
West | ref | ||
Trauma Center Designation | |||
Non-Trauma | 1.1 | 1.0 | 1.2 |
Trauma | ref | ||
Hospital Teaching Status | |||
Metropolitan non-teaching | 0.7 | 0.7 | 0.8 |
Metropolitan | 0.5 | 0.4 | 0.5 |
Non-metropolitan hospital | 1.0 | ||
Year | |||
2009 | 0.9 | 0.9 | 0.9 |
2010 | 0.8 | 0.8 | 0.9 |
2011 | 1.0 | 0.9 | 1.0 |
2012 | 0.9 | 0.9 | 1.0 |
2013 | 1.0 | 0.9 | 1.0 |
2014 | ref | ||
Sex * Primary Payer Type Interaction Term | |||
Male * Medicare | 0.7 | 0.6 | 0.8 |
Male * Medicaid | 1.0 | 0.9 | 1.1 |
Male * Self Pay | 1.2 | 0.9 | 1.5 |
Male * Other | 1.5 | 1.3 | 1.7 |
Male * Private | ref | ||
Female * Medicare | ref | ||
Female * Medicaid | ref | ||
Female * Self Pay | ref | ||
Female * Other | ref | ||
Female * Private | ref |
Discussion
In a national sample, this research makes the following two important contributions: First, we provide the first estimates of U.S. adult ED visits inter-facility transfer rates for burn-related injuries. Second, consistent with prior work we found males were more likely to sustain burn related injuries, however we also found marked differences in transfer rates by sex, with males having more than twice the likelihood of being transferred.
Over this six-year study period more than three million patients were evaluated for burn related injuries in U.S. EDs, and 3.6% resulted in an inter-facility transfer, more than double the overall transfer rate of all-comers with non-burn related presentations to the ED. This is consistent with prior research that identified a comparable inter-facility transfer rate amongst North Carolina EDs [5]. Our study findings, which use the largest sample of all-payer datasets in the U.S., reinforces that burn injuries are common and patients with burns present frequently to U.S. EDs. Although inter-facility transfers of ED patients with burn injuries only represent 3.6% of the transfer volume, approximately 18,000 burn-related injuries were transferred annually.
Further, our findings make the important contribution that patient sex and insurance status are independently associated with higher odds of inter-facility transfer of ED visits for burn-related injuries to burn centers. These findings were further supported by E-Values for patient sex and insurance status both greater than 3.0, suggesting a considerable degree of unmeasured cofounding would need to be present to explain away these observed associations. While mortality, length of stay, and rates of surgical operations for burn patients transferred from other facilities and those who initially present to burn centers from scene are similar, [21] the factors associated with inter-facility transfer may be beyond pure clinical factors. In fact, potentially unnecessary inter-facility transfers represent a substantial cost and disruption for patients and the broader healthcare system [22, 23]. However, the appropriateness of transfers in this dataset is not discernible and represents an important future direction.
While variable adherence to the ABA referral criteria has been well documented in both pediatric and adult populations, [9, 11, 24–26] this work identified non-clinical factors independently associated with higher odds of inter-facility transfer. Specifically, we found that male sex and lack of health insurance were the strongest predictors of inter-facility transfer in burn patients. The sex and insurance disparity in inter-facility transfer has been previously described in other clinical conditions. Lack of health insurance is associated with increased inter-facility transfer rates for other time-sensitive emergencies including ST-elevation myocardial infarction (STEMI), [27] as well as across a broad range of medical conditions [28, 29]. For patients presenting to the ED with traumatic injuries, lack of insurance [30] and a patients’ sex [31] have been shown to influence inter-facility transfer decision-making. Treatment at a burn center is also significantly associated with lack of insurance [32]. Further, while severe burns were found to be the single biggest predictor of transfer status for burns, uninsured burn patients were twice as likely to be transferred as those with commercial insurance and this finding did not change with severity of injury [33].
Sex is similarly predictive of transfer. Prior research demonstrates that men disproportionately incur workplace burn injuries [34, 35]. This is similarly seen in national data from the U.S. Bureau of Labor and Statistics. Amongst nonfatal occupational injuries and illnesses, men are more likely than women to incur “days away from work” [36]. This suggests that the nature of the burn and severity, variables not reliably available in NEDS, may impact the transfer decision. However, this finding may be somewhat context dependent; a study in South Africa demonstrated that sex differences in transfers to burn centers only occurred amongst adults. Men were transferred to higher levels of care despite similar severity scores [37]. Thus, while sex differences exist, severity and nature of burn injury alone may not account for transfer differences.
This work contributes to the increasing evidence that non-clinical factors may influence emergency inter-facility transfers. Despite the existence of the Emergency Medical Treatment and Labor Act (EMTALA) of 1986 which was passed by Congress to provide emergency medical treatment for unstable patients presenting to the ED regardless of ability to pay, our findings suggest that non-clinical disparities may also exist in the burn-injured population. One potential explanation is that burn patients with the non-medical factors identified above may disproportionately present to healthcare facilities without burn center capabilities, necessitating transfer. Alternatively, such burn patients may present during busier times of the day when EDs may be crowded and existing resources (e.g., burn service) are overwhelmed necessitating transfer to another facility with the appropriate capabilities. Finally, disparities in inter-facility transfers may exist despite the availability of burn center resources. Future research is needed to better understand why such non-clinical factors may contribute to higher rates of inter-facility transfers for burn patients in emergency care settings.
Limitations
This study has several limitations. Our findings are based on retrospective administrative data, which uses point estimates from nationally weighted sample of recorded in NEDS. Our study relied on ICD-9 CM diagnosis codes to identify burn related injuries and such codes have their own inherent limitations [38]. Further, our study included data from 2009–2014, after which NEDs datasets started the transition towards ICD-10 Diagnoses codes and only includes three years of complete datasets. Given concerns about diagnoses coding integrity, the availability of data, and to allow comparisons across time, [39, 40] we only included years of NEDs with ICD-9 CM codes. NEDS precluded the identification of transferring facility capability and whether such facilities had burn center resources. Next, based on data availability in NEDs, we were unable to determine the appropriateness of inter-facility transfer as these data are not comprehensive and do not identify if ABA transfer criteria or other clinical characteristics (e.g., need for mechanical ventilation) are present. Furthermore, our findings are derived from burn visits only within the U.S. and may not be generalizable to other countries with different delivery and payment models. Notably, burn size, as measured by total body surface area, was not recorded in two-thirds of ED visits, a key decision variable for burn center transfer. Other notable variables not accounted for that may impact the decision to transfer include depth, concurrent trauma, comorbidities, and carbon monoxide poisoning. Additionally, we were not able to account for other social determinants including housing stability that may influence decision to transfer, nor work-related injuries that may be more common in males. Further, among patients who were transferred to another facility, our data were not able to confirm what proportion were transferred to verified burn centers. Last, this dataset does not provide any information about the pre-existing relationship between transferring and receiving facilities including access to telehealth consultations, both of which may impact both the transfer and location decision.
Conclusion
In the largest available all-payer national dataset, approximately 18,000, or more than 3 % of all burn-related injuries that presented to U.S. EDs resulted in inter-facility transfers, more than double the national rate. Among burn transfers, male sex and lack of insurance were the strongest independent predictors of increased inter-facility transfer after controlling for patient demographics and hospital characteristics. Further examination of non-clinical factors may facilitate improved understanding and inform interventions aimed at addressing disparities in the emergency management of burn patients.
Supplementary Information
Acknowledgements
None.
Authors’ contributions
All authors (C.S.E., K.H., W.H.S., S.N., C.M.T., M.J.W.) have made substantial contributions to all of the following: (1) the conception and design of the study, or acquisition of data, or analysis and interpretation of data, (2) drafting the article or revising it critically for important intellectual content, (3) final approval of the version to be submitted.
Funding
None.
Availability of data and materials
The datasets analyzed during the current study are available in the Nationwide Emergency Department Sample (NEDS), collected and maintained by the Agency for Healthcare Research and Quality (AHRQ). https://www.hcup-us.ahrq.gov/nedsoverview.jsp.
Declarations
Ethics approval and consent to participate
This study was reviewed by the Vanderbilt University Institutional Review Board (IRB) and deemed exempt. All methods were carried out in accordance with relevant guidelines and regulations of the study institutions. The study dataset contains publicly available de-identified data and follows all data use agreements outlined by the Agency for Health Care Research and Quality (AHRQ). The need for informed consent was waived by the ethics committee/Institution Review Board of Vanderbilt University, because of the retrospective nature of the study.
Consent for publication
Not applicable.
Competing interests
Dr. Ward received support from the National, Heart, Lung, and Blood Institute (K23HL127130) and by the Department of Veterans Affairs, Veterans Health Administration, VA Office of Rural Health (ORH-10808). Ms. Hart was also supported by the Vanderbilt Trans-Institutional Programs and a VICTR grant from CTSA (NCATS UL1 TR002243). The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health nor the U.S. Department of Veteran Affairs.
Footnotes
Publisher’s Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
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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
The datasets analyzed during the current study are available in the Nationwide Emergency Department Sample (NEDS), collected and maintained by the Agency for Healthcare Research and Quality (AHRQ). https://www.hcup-us.ahrq.gov/nedsoverview.jsp.