Abstract
Introduction
An increasing number of behavioral health (BH) patients are presenting to the emergency department (ED) while BH resources continue to decline. This situation-may lead to more external transfers to find care.
Methods
This is a retrospective cohort study of consecutive patients presenting to a tertiary care academic ED from February 1, 2013, through January 31, 2014. Patients were identified through electronic health record documentation of psychiatric consultation during ED evaluation. We reviewed electronic health records for demographic characteristics, diagnoses, payer source, ED length of stay, ED disposition, arrival method, and distance traveled to an external facility for inpatient admission. Univariable and multivariable associations with transfer to an external facility in comparison with patients admitted internally were evaluated with logistic regression models and summarized with odds ratios (OR).
Results
We identified 2,585 BH visits, of which 1,083 (41.9%) resulted in discharge. A total of 1,502 patient visits required inpatient psychiatric admission, and of these cases, 177 patients (11.8%; 95% CI = [10.2–13.5]) required transfer to an external facility. The median ED length of stay for transferred patients was 13.9 hours (interquartile range [IQR], 9.3–20.2 hours; range, 3.0–243.0 hours). The median distance for transport was 83 miles (IQR, 42–111 miles; range, 42–237 miles). In multivariable analysis, patients with suicidal or homicidal ideation had increased risk of transfer (odds ratio [OR] [95% CI], 1.93 [1.22–3.06]; P=0.005). Children younger than 18 years (OR [95% CI], 2.34 [1.60–3.40]; P<0.001) and adults older than 65 years (OR [95% CI], 3.46 [1.93–6.19]; P<0.001) were more likely to require transfer and travel farther to access care.
Conclusion
Patients requiring external transfer for inpatient psychiatric care were found to have prolonged ED lengths of stay. Patients with suicidal and homicidal ideation as well as children and adults older than 65 years are more likely to require transfer.
INTRODUCTION
The population of patients in need of mental health care continues to grow despite increasing limitations in resources available for these patients.1–5 Behavioral health (BH) patients presenting to the emergency department (ED) who require transfer to other facilities, children and adults older than 65 years, and those with a history of violence or cognitive disorder are more likely to have prolonged ED length of stay (LOS) while a facility with capacity to care for them is identified.6–8 Long LOS strains ED resources and places the patient at increased risk of harm by prolonging the stay in a facility that may be inadequately equipped to prevent patient self-harm and other adverse events, including placing staff safety at risk.9–11
The necessity for patient transfer to an external psychiatric facility results in prolonged ED LOS.3,7 Although prolonged lengths of stay for BH patients have been well documented,3,6–8 little is known about the subsequent effects on the patients themselves. Specifically, the distance that patients must be transported to be admitted has not been studied. The objectives of this study were to characterize the ED patients who require external transport to psychiatric facilities and to track the distances they must travel due to insufficient local psychiatric inpatient capacity.
METHODS
Study Design and Setting
This was a retrospective cohort study of consecutive patients who presented to the ED of the Mayo Clinic Hospital - Rochester, Saint Marys Campus from February 1, 2013, through January 31, 2014. The hospital has a tertiary care academic ED with 73,000 annual patient visits and includes a dedicated psychiatric hospital consisting of 73 psychiatric beds divided among a child and adolescent unit (18 beds), an acute adult unit (25 beds), an adult mood disorders unit (16 beds), and a medical psychiatry and geriatric psychiatry unit (14 beds). The city of Rochester, Minnesota, also has the Community Behavioral Health Hospital, which has 16 beds for adult patients.
The Mayo Clinic Institutional Review Board reviewed and accepted the study protocol before study initiation. The reporting of study results follows the reporting guidelines of Strengthening the Reporting of Observational Studies in Epidemiology (STROBE).12
Selection of Participants
We identified all ED BH patients through documentation of a psychiatric consult during ED evaluation in their electronic health record. They were eligible for inclusion when they provided research authorization in accordance with Minnesota law.
Data Collection and Outcome Measures
The electronic health record was reviewed for data that were retrospectively collected, including patient demographic characteristics (e.g., age), diagnosis, payer source, ED LOS, ED disposition, arrival method, and distance traveled to an external facility for inpatient disposition. All patient data could be electronically extracted using the electronic health record in use (PulseCheck version 5.4; Optum) and did not require manual chart review. We characterized patients as transferred if they were discharged to a nonlocal external facility. Those who required admission and were hospitalized at the affiliated hospital were characterized as admitted. We subsequently calculated the distance to transfer sites on the basis of the number of miles reported on Google Maps.
Statistical Analysis
We summarized continuous features with median, interquartile range (IQR), and absolute range; categorical features were summarized with frequency count and percentage. Comparisons of patients who received a psychiatric consultation and were discharged from the ED with patients who received a psychiatric consultation and were admitted for psychiatric care were evaluated with Wilcoxon rank sum and χ2 tests. We evaluated the differences in distance to the external facility between age groups with Wilcoxon rank sum tests. Univariable and multivariable associations with transfer to an external facility were evaluated with logistic regression models and summarized with odds ratios (ORs) and 95% confidence intervals (CIs). We conducted multivariable associations to determine if the significant associations observed on univariable analysis remained after multivariable adjustment. All variables of interest were used in both univariable and multivariable analyses. Univariable associations with transfer to an external facility were subsequently evaluated for the adult and pediatric cohorts separately. We performed statistical analyses with version 9.3 of the SAS software package (SAS Institute Inc). All tests were two-sided, and P values less than 0.05 were considered statistically significant.
RESULTS
During the study period, we identified 2,585 ED patient visits involving an ED consultation by psychiatry services. Multiple patients presented to the ED on more than one occasion. Of the 2,585 ED visits, there were 1,981 distinct patients seen in the ED. Of the ED visits, 1,083 (41.9%) were patients evaluated and discharged from the ED and 1,502 (58.1%) were patients evaluated and determined to require inpatient psychiatric care. In the second group, 1,325 patients (83.9%) were admitted to the affiliated hospital, 65 (4.3%) were transferred to the local community behavioral health hospital, and 177 patients (11.8%; 95% CI = [10.2–13.5]) required transfer to a nonlocal external facility (Table 1).
Table 1.
Characteristica | All ED BH patient visits (n=2,585) | Patient visits resulting in discharge (n=1,083) | Patient visits resulting in psychiatric admission (n=1,502) | P value |
---|---|---|---|---|
Age, median (IQR; range), y | 31 (20–47; 4–93) | 30 (20–46; 4–93) | 32 (20–48; 5–90) | 0.07 |
Age, y | ||||
<18 | 510 (20) | 212 (20) | 298 (20) | 0.96 |
18–65 | 1,941 (75) | 816 (75) | 1,125 (75) | |
>65 | 134 (5) | 55 (5) | 79 (5) | |
Gender | ||||
Female | 1,392 (54) | 585 (54) | 807 (54) | 0.88 |
Male | 1,193 (46) | 498 (46) | 695 (46) | |
Mode of arrival | (n=2,579)b | (n=1,497)b | ||
Personal transport | 1,761 (68) | 728 (67) | 1,033 (69) | 0.51 |
EMS | 494 (19) | 209 (19) | 285 (19) | |
Law enforcement | 324 (13) | 145 (13) | 179 (12) | |
Payment type | ||||
Commercial | 945 (37) | 357 (33) | 588 (39) | <0.001 |
Medicare or Medicaid | 1,132 (44) | 461 (43) | 671 (45) | |
Other/self-pay | 508 (20) | 265 (24) | 243 (16) | |
Diagnosis | ||||
Mood disorder | 629 (24) | 246 (23) | 383 (26) | <0.001 |
Suicidal or homicidal ideation | 848 (33) | 219 (20) | 629 (42) | |
Altered thought processes | 243 (9) | 93 (9) | 150 (10) | |
All others | 865 (33) | 525 (48) | 340 (23) | |
Transfer to external facility | 177 (7) | 0 | 177 (12) | |
LOS, median, h | 4.4 | 3.8 | 4.8 | <0.001 |
LOS, range (IQR), h | 0.2–243.0 (3.1–7.2) | 0.2–74.6 (2.7–5.8) | 0.3–243.0 (3.5–8.9) |
BH, behavioral health; ED, emergency department; EMS, emergency medical services; IQR, interquartile range; LOS, length of stay.
Values are presented as number (percentage) of patients unless specified otherwise.
Sample size for characteristics with missing data.
The characteristics of admitted patients were similar to the dismissed cohort (Table 1). The median age of BH patients was in the early third decade. More than one-half (54.0%) of the patients were female. Most patients arrived to the ED by personal transport. The cohorts differed in payer source, as well as diagnosis. Admitted patients also had a significantly longer LOS than the non-admitted patients.
The median distance required for transfer to outside facilities was 83 miles (IQR, 42–111; range, 41–280 miles) (Figure). Fifty patient transports (28.2%; 95% CI = [21.9–35.6]) were within 50 miles, 63 (35.6%; 95% CI = [28.9–43.2]) were transferred between 50 and 100 miles, and 46 (26.0%; 95% CI = [19.8–33.2]) were transferred between 100 and 200 miles. Children and patients older than 65 years also required longer transport distances. The median distance to the external facility for patients younger than 18 years (102 [IQR, 83–141; range, 72–262] miles) was significantly greater than for patients aged 18 to 65 years (60 [IQR, 42–85; range, 41–280] miles; P<0.001). The distance for patients older than 65 years (83 [IQR, 59.5–144.5; range, 42–226] miles) also was significantly greater than for patients aged 18 to 65 years (P=0.04).
The median ED LOS for patients transferred to an external psychiatric facility was 13.9 hours (IQR, 9.3–20.2; range, 3.0–243.0 hours). Patients who did not require transfer and were admitted to inpatient psychiatric services in house had significantly shorter stays (4.4 [IQR, 3.4–6.7; range, 0.3–76.0] hours; P<0.001).
The characteristics of patients who were admitted to our hospital vs those who required transfer to an external facility for admission are summarized in Table 2, with the results of the univariable and multivariable models to predict transfer to an external facility. The multivariable analysis indicated that patients with suicidal or homicidal ideation had increased risk of requiring transport to an external facility (OR [95% CI], 1.93 [1.22–3.06]; P=0.005). Patient age was also significantly associated with increased risk of patient transfer. Children younger than 18 years were more likely to require transfer than patients aged 18 to 65 years (OR [95% CI], 2.34 [1.60–3.40]; P<0.001). In addition, adults older than 65 years were more likely to require transfer to an external facility (OR [95% CI], 3.46 [1.93–6.19]; P<0.001). Lastly, patients with noncommercial medical insurance were more likely to be transferred to an external facility, independent of patient age (Medicare or Medicaid, OR [95% CI], 1.54 [1.04–2.27], P=0.03; self-pay/other, OR [95% CI], 2.08 [1.30–3.32], P=0.002).
Table 2.
Univariable | Multivariable | |||||
---|---|---|---|---|---|---|
|
|
|||||
Characteristica | No transfer (n=1,325) | Transfer (n=177) | OR (95% CI) | P value | OR (95% CI) | P value |
Age, y | ||||||
<18 | 244 (18) | 54 (31) | 2.20 (1.54–3.14) | <0.001 | 2.34 (1.60–3.40) | <0.001 |
18–65 | 1,022 (77) | 103 (58) | 1.0 (reference) | 1.0 (reference) | ||
>65 | 59 (5) | 20 (11) | 3.36 (1.95–5.81) | <0.001 | 3.46 (1.93–6.19) | <0.001 |
Gender | ||||||
Female | 709 (54) | 98 (55) | 1.0 (reference) | 1.0 (reference) | ||
Male | 616 (46) | 79 (45) | 0.93 (0.68–1.27) | 0.64 | 0.97 (0.70–1.34) | 0.84 |
Mode of arrival | ||||||
Personal transport | 907 (69) | 126 (71) | 1.0 (reference) | 1.0 (reference) | ||
EMS | 252 (19) | 33 (19) | 0.94 (0.63–1.42) | 0.78 | 0.94 (0.61–1.44) | 0.77 |
Law enforcement | 161 (12) | 18 (10) | 0.81 (0.48–1.36) | 0.41 | 0.78 (0.45–1.33) | 0.35 |
Payment type | ||||||
Commercial | 534 (40) | 54 (31) | 1.0 (reference) | 1.0 (reference) | ||
Medicare or Medicaid | 584 (44) | 87 (49) | 1.47 (1.03–2.11) | 0.04 | 1.54 (1.04–2.27) | 0.03 |
Other/self-pay | 207 (16) | 36 (20) | 1.72 (1.10–2.70) | 0.02 | 2.08 (1.30–3.32) | 0.002 |
Diagnosis | ||||||
Mood disorder | 340 (26) | 43 (24) | 1.41 (0.86–2.32) | 0.18 | 1.57 (0.93–2.63) | 0.09 |
Suicidal/homicidal ideation | 540 (41) | 89 (50) | 1.84 (1.18–2.87) | 0.008 | 1.93 (1.22–3.06) | 0.005 |
Altered thought processes | 133 (10) | 17 (10) | 1.42 (0.75–2.69) | 0.28 | 1.44 (0.75–2.77) | 0.27 |
All others | 312 (24) | 28 (16) | 1.0 (reference) | 1.0 (reference) |
EMS, emergency medical services; OR, odds ratio.
Values are presented as number (percentage) of patients unless specified otherwise.
We also analyzed associations with transfer to an external facility vs admission to our hospital in the subsets of adult and pediatric cohorts. In these univariable models, adults with a diagnosis of suicidal or homicidal ideation were still found to be more likely to be transferred to an external facility (OR [95% CI], 2.17 [1.23–3.81]; P=0.007); however, there was no longer a significant association in the pediatric population (OR [95% CI], 1.18 [0.56–2.51]; P=0.67) (Table 3).
Table 3.
Adult patients (n=1,204) | Pediatric patients (n=298) | |||||||
---|---|---|---|---|---|---|---|---|
|
|
|||||||
Characteristica | No transfer (n=1,081) | Transfer (n=123) | OR (95% CI) | P value | No transfer (n=244) | Transfer (n=54) | OR (95% CI) | P value |
Age, y | NA | NA | NA | |||||
18–65 | 1,022 (95) | 103 (84) | 1.0 (reference) | |||||
>65 | 59 (5) | 20 (16) | 3.36 (1.95–5.81) | <0.001 | ||||
Gender | ||||||||
Female | 564 (52) | 67 (54) | 1.0 (reference) | 145 (59) | 31 (57) | 1.0 (reference) | ||
Male | 517 (48) | 56 (46) | 0.91 (0.63–1.33) | 0.63 | 99 (41) | 23 (43) | 1.09 (0.60–1.97) | 0.78 |
Mode of arrivalb | ||||||||
Personal transport | 726 (67) | 82 (67) | 1.0 (reference) | 181 (74) | 44 (81) | 1.0 (reference) | ||
EMS | 225 (21) | 28 (23) | 1.10 (0.70–1.74) | 0.68 | 27 (11) | 5 (9) | 0.76 (0.28–2.09) | 0.60 |
Law enforcement | 126 (12) | 13 (11) | 0.91 (0.49–1.69) | 0.77 | 35 (14) | 5 (9) | 0.59 (0.22–1.59) | 0.29 |
Payment type | ||||||||
Commercial | 392 (36) | 26 (21) | 1.0 (reference) | 142 (58) | 28 (52) | 1.0 (reference) | ||
Medicare or Medicaid | 510 (47) | 69 (56) | 2.04 (1.28–3.26) | 0.003 | 74 (30) | 18 (33) | 1.23 (0.64–2.38) | 0.53 |
Other/self-pay | 179 (17) | 28 (23) | 2.36 (1.34–4.14) | 0.003 | 28 (11) | 8 (15) | 1.45 (0.60–3.51) | 0.41 |
Diagnosis | ||||||||
Mood disorder | 283 (26) | 32 (26) | 1.75 (0.95–3.23) | 0.07 | 57 (23) | 11 (20) | 0.95 (0.38–2.37) | 0.91 |
Suicidal or homicidal ideation | 407 (38) | 57 (46) | 2.17 (1.23–3.81) | 0.007 | 133 (55) | 32 (59) | 1.18 (0.56–2.51) | 0.67 |
Altered thought processesc | 128 (12) | 17 (14) | 2.06 (1.02–4.16) | 0.045 | 54 (22) | 11 (20) | 1.0 (reference) | |
All others | 263 (24) | 17 (14) | 1.0 (reference) | |||||
Length of stay, median (IQR; range), hd | 4.4 (3.4–6.4; 0.3–76.0) | 12.8 (8.6–18.2; 3.3–140.1) | 1.47 (1.34–1.61) | <0.001 | 4.6 (3.2–15.7; 2.0–75.1) | 15.9 (11.0–25.9;3.0–243.0) | 1.18 (1.09–1.27) | <0.001 |
EMS, emergency medical services; IQR, interquartile range; NA, not applicable; OR, odds ratio.
Values are presented as number (percentage) of patients unless specified otherwise.
For adult patients, n=1,200; for pediatric patients, n=297.
All other diagnoses were combined with this category for the analysis of pediatric patients.
OR represents a 4-h increase in length of stay.
DISCUSSION
Nearly 12% of BH patients required transport to an external psychiatric facility. Other investigators evaluating ED LOS for psychiatric patients have reported significantly higher rates of external transfer (37%–46%) for patients presenting with a mental health concern.7,13 Similar to other studies, our analysis found that BH patients requiring transport to an external psychiatric facility have prolonged LOS compared with those discharged or admitted locally.14,15 In our study, this difference was approximately three times longer (4.4 vs 13.9 hours). Chang et al14 demonstrated a median LOS approximately 2.5 times longer (2.5 vs 6.3 hours). Although most of the protracted LOS instances were measured in hours, some were measured in days (longest period, >10 days).
Our study reinforces some of the data previously published on factors affecting ED LOS. Nevertheless, this is the first study, to our knowledge, to characterize the patient experience—including distances that ED patients are transported to access inpatient psychiatric care—when local care is unavailable.
We found that certain patients had a greater predisposition for external transfer for inpatient psychiatric hospitalization than other patients, and transportation distances were considerable for patients requiring this transfer. Adults older than 65 years, children, patients with suicidal or homicidal ideation, and patients with noncommercial medical insurance were more likely to require transport to an external facility. In addition, when external transport was required, the older adults and the children were transported farther distances to access inpatient psychiatric care. Although the median travel distance was 83 miles, 10% of transports spanned more than 200 miles. This may be due in part to the location of our facility, which has largely rural surrounding communities. The closest location from our facility for inpatient psychiatric care is 41 miles away. This problem, however, is not unique to our institution. Between 1990 and 2008, the number of hospital or residential mental health organizations decreased by 812, with a loss of 86,515 beds.15 As closures of psychiatric facilities throughout the country continue, many hospitals likely face similar, if not longer, distances to the next inpatient psychiatric facility. These distant hospitalizations can place substantial burdens on patients and their family members.
Patient age was strongly associated with increased risk of need for external transfer. Children were more likely to require transfer. This need may be due to the overall lack of pediatric inpatient psychiatric beds available in the region. Minnesota has approximately seven adult inpatient psychiatric beds for every pediatric bed.16 National data indicate that adults and adolescents have a similar prevalence of mental illness, and in a recent report, adolescents had a higher rate of serious mental illness than adults (8.0% vs 5.8%).17 Children requiring psychiatric admission have the added stress of prolonged ambulance transport to an unknown facility and may have to travel without parental supervision. Parents are faced with the challenge of arranging their own transportation to visit their child and coordinating leave from their employer and care for other dependents. Although adult psychiatric care facilities have declined over the years, pediatric treatment centers have not experienced a similar trend and in fact have increased in number nationally—so, too, have the number of specialists certified in child and adolescent mental health care.18 While this is a positive trend, resources will need to continue to grow in order to meet the growing needs of the population.
Adults older than 65 years are also more likely to require transfer to an external facility than younger adults. In our institution, a limited number of geriatric psychiatric beds are available. In addition, a limited number of medical psychiatric beds are available to care for the higher rate of comorbid medical conditions in this population. Estimates report that more than 20% of geriatric patients have mental disorders, and as the U.S. population continues to age, this number is expected to double over the next 30 years.19 Cromwell and Maier19 demonstrated that these medical psychiatric units and geriatric psychiatric units require the most staff hours per patient per day compared with general adult units, psychiatric intensive care units, and dual psychiatric and substance-abuse units.20 The burgeoning geriatric population and the increased requisite psychiatric resources likely will pose challenges for inpatient placement and may continue to increase the transfer rate for these patients.
Adult patients who received a diagnosis including suicidal or homicidal ideation were almost twice as likely to be transferred to another facility. This finding was not seen in the pediatric population. This may be due to the increased resources such as video-monitored rooms and additional staffing needed to care for potentially violent adult patients.
Finally, an association was found between transfer to an external facility and a noncommercial payer source. The reasons for this finding are not clear, because the payer source is not considered in the process of identifying either outside facilities for transfer or patients for admission to our psychiatric hospital. Thus, lack of commercial insurance may correlate with other factors not accounted for in our model. Further studies are needed to more clearly understand this association.
This study is limited by being isolated to a single tertiary care setting with a relatively large internal psychiatric inpatient capacity. Hospitals in a larger urban setting may experience different trends in the association between increased LOS and patient transfers. In addition, this study is limited in that data were extracted electronically rather than by manual individual chart review. Hence, the study is limited by what data could be extracted electronically from the health record.
CONCLUSION
Inadequate local and regional psychiatric hospital capacity results in significantly prolonged ED LOS and puts many patients at risk for transfer outside their local community for care. Patients with suicidal and homicidal ideation, patients older than 65 years, and children are at significantly increased risk for requiring transfer to an external facility for inpatient psychiatric care. Delays in transfers to distant facilities for inpatient psychiatric care strain the ED system, and the transfers place additional stress on patients and their families. A thorough evaluation of the BH system is needed to better address patient needs for inpatient psychiatric care.
ACKNOWLEDGMENT
The authors sincerely acknowledge and thank Mr. Thomas Roh for creating the Figure while with the Mayo Clinic Robert D. and Patricia E. Kern Center for the Science of Health Care Delivery.
Footnotes
Section Editor: Mark I. Langdorf, MD, MHPE
Full text available through open access at http://escholarship.org/uc/uciem_westjem
Conflicts of Interest: By the WestJEM article submission agreement, all authors are required to disclose all affiliations, funding sources and financial or management relationships that could be perceived as potential sources of bias. The authors disclosed none.
REFERENCES
- 1.Larkin GL, Claassen CA, Emond JA, et al. Trends in U.S. emergency department visits for mental health conditions, 1992 to 2001. Psychiatr Serv. 2005;56(6):671–7. doi: 10.1176/appi.ps.56.6.671. [DOI] [PubMed] [Google Scholar]
- 2.Slade EP, Dixon LB, Semmel S. Trends in the duration of emergency department visits, 2001–2006. Psychiatr Serv. 2010;61(9):878–84. doi: 10.1176/ps.2010.61.9.878. [DOI] [PubMed] [Google Scholar]
- 3.Nicks BA, Manthey DM. The impact of psychiatric patient boarding in emergency departments. Emerg Med Int. 2012;2012:1–5. doi: 10.1155/2012/360308. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4.Treatment Advocacy Center. No Room at the Inn: trends and consequences of closing public psychiatric hospitals 2005–2010. Available at: http://tacreports.org/storage/documents/no_room_at_the_inn-2012.pdf.
- 5.Warren MB, Campbell RL, Nestler DM, et al. Prolonged length of stay in ED psychiatric patients: a multivariable predictive model. Am J Emerg Med. 2016;34(2):133–9. doi: 10.1016/j.ajem.2015.09.044. [DOI] [PubMed] [Google Scholar]
- 6.Kutscher B. Bedding, not boarding. Psychiatric patients boarded in hospital EDs create crisis for patient care and hospital finances. Mod Healthc. 2013;43(46):15–7. [PubMed] [Google Scholar]
- 7.Weiss AP, Chang G, Rauch SL, et al. Patient- and practice-related determinants of emergency department length of stay for patients with psychiatric illness. Ann Emerg Med. 2012;60(2):162–171. doi: 10.1016/j.annemergmed.2012.01.037. [DOI] [PubMed] [Google Scholar]
- 8.Park JM, Park LT, Siefert CJ, et al. Factors associated with extended length of stay for patients presenting to an urban psychiatric emergency service: a case-control study. J Behav Health Serv Res. 2009;36(3):300–8. doi: 10.1007/s11414-008-9160-0. [DOI] [PubMed] [Google Scholar]
- 9.McCarthy ML, Zeger SL, Ding R, et al. Crowding delays treatment and lengthens emergency department length of stay, even among high-acuity patients. Ann Emerg Med. 2009;54(4):492–503. doi: 10.1016/j.annemergmed.2009.03.006. [DOI] [PubMed] [Google Scholar]
- 10.Crilly J, Chaboyer W, Creedy D. Violence towards emergency department nurses by patients. Accid Emerg Nurs. 2004;12(2):67–73. doi: 10.1016/j.aaen.2003.11.003. [DOI] [PubMed] [Google Scholar]
- 11.Olshaker JS. Managing emergency department overcrowding. Emerg Med Clin North Am. 2009;27(4):593–603. doi: 10.1016/j.emc.2009.07.004. [DOI] [PubMed] [Google Scholar]
- 12.Von Elm E, Altman DG, Egger M, et al. The Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) statement: guidelines for reporting observational studies. J Clin Epidemiol. 2008;61(4):344–9. doi: 10.1016/j.jclinepi.2007.11.008. [DOI] [PubMed] [Google Scholar]
- 13.Stephens RJ, White SE, Cudnik M, et al. Factors associated with longer length of stay for mental health emergency department patients. J Emerg Med. 2014;47(4):412–9. doi: 10.1016/j.jemermed.2014.04.040. [DOI] [PubMed] [Google Scholar]
- 14.Chang G, Weiss AP, Orav EJ, et al. Hospital variability in emergency department length of stay for adult patients receiving psychiatric consultation: a prospective study. Ann Emerg Med. 2011;58(2):127–136. doi: 10.1016/j.annemergmed.2010.12.003. [DOI] [PubMed] [Google Scholar]
- 15.Chang G, Weiss A, Kosowsky JM, et al. Characteristics of adult psychiatric patients with stays of 24 hours or more in the emergency department. Psychiatr Serv. 2012;63(3):283–6. doi: 10.1176/appi.ps.201000563. [DOI] [PubMed] [Google Scholar]
- 16.Minnesota Department of Health. Health Economics Program. St. Paul: Distribution of hospital bed by specialty. 2005. Available at: http://www.health.state.mn.us/divs/hpsc/hep/publications/providers/2005-03.pdf.
- 17.Prevalence of Mental Illness in the United States: data sources and estimates. Washington, DC: Congressional Research Service; Available at: https://fas.org/sgp/crs/misc/R43047.pdf. [Google Scholar]
- 18.Substance Abuse and Mental Health Services Administration (SAMHSA) Behavioral Health, United States. U.S. Department of Health and Human Services; 2012. Available at: http://www.samhsa.gov/data/sites/default/files/2012-BHUS.pdf. [PubMed] [Google Scholar]
- 19.Cromwell J, Maier J. Economic grand rounds: Variation in staffing and activities in psychiatric inpatient units. Psychiatr Serv. 2006;57(6):772–4. doi: 10.1176/ps.2006.57.6.772. [DOI] [PubMed] [Google Scholar]
- 20.Bartels SJ, Dums AR, Oxman TE, et al. Evidence-based practices in geriatric mental health care: an overview of systematic reviews and meta-analyses. Psychiatr Clin North Am. 2003;26(4):971–90. doi: 10.1016/s0193-953x(03)00072-8. [DOI] [PubMed] [Google Scholar]