Effect of a Virtual Patient Navigation Program on Behavioral Health Admissions in the Emergency Department: A Randomized Clinical Trial
Jason Roberge, Andrew McWilliams, Jing Zhao, William E Anderson, Timothy Hetherington, Christine Zazzaro, Elisabeth Hardin, Amy Barrett, Manuel Castro, Margaret E Balfour, James Rachal, Constance Krull, Wayne Sparks, Jason Roberge, Andrew McWilliams, Jing Zhao, William E Anderson, Timothy Hetherington, Christine Zazzaro, Elisabeth Hardin, Amy Barrett, Manuel Castro, Margaret E Balfour, James Rachal, Constance Krull, Wayne Sparks
Abstract
Importance: The number of patients presenting to emergency departments (EDs) for psychiatric care continues to increase. Psychiatrists often make a conservative recommendation to admit patients because robust outpatient services for close follow-up are lacking.
Objective: To assess whether the availability of a 45-day behavioral health-virtual patient navigation program decreases hospitalization among patients presenting to the ED with a behavioral health crisis or need.
Design, setting, and participants: This randomized clinical trial enrolled 637 patients who presented to 6 EDs spanning urban and suburban locations within a large integrated health care system in North Carolina from June 12, 2017, through February 14, 2018; patients were followed up for up to 45 days. Eligible patients were aged 18 years or older, with a behavioral health crisis and a completed telepsychiatric ED consultation. The availability of the behavioral health-virtual patient navigation intervention was randomly allocated to specific days (Monday through Friday from 7 am to 7 pm) so that, in a 2-week block, there were 5 intervention days and 5 usual care days; 323 patients presented on days when the program was offered, and 314 presented on usual care days. Data analysis was performed from March 7 through June 13, 2018, using an intention-to-treat approach.
Interventions: The behavioral health-virtual patient navigation program included video contact with a patient while in the ED and telephonic outreach 24 to 72 hours after discharge and then at least weekly for up to 45 days.
Main outcomes and measures: The primary outcome was the conversion of an ED encounter to hospital admission. Secondary outcomes included 45-day follow-up encounters with a self-harm diagnosis and postdischarge acute care use.
Results: Among 637 participants, 358 (56.2%) were men, and the mean (SD) age was 39.7 (16.6) years. The conversion rates were 55.1% (178 of 323) in the intervention group vs 63.1% (198 of 314) in the usual care group (odds ratio, 0.74; 95% CI, 0.54-1.02; P = .06). The percentage of patient encounters with follow-up encounters having a self-harm diagnosis was significantly lower in the intervention group compared with the usual care group (36.8% [119 of 323] vs 45.5% [143 of 314]; P = .03).
Conclusions and relevance: Although the primary result did not reach statistical significance, there is a strong signal of potential positive benefit in an area that lacks evidence, suggesting that there should be additional investment and inquiry into virtual behavioral health programs.
Trial registration: ClinicalTrials.gov identifier: NCT03204643.
Conflict of interest statement
Conflict of Interest Disclosures: Dr McWilliams reported being cofounder of iEnroll LLC. No other disclosures were reported.
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References
- North Carolina Healthcare Association. NC behavioral health by the numbers. . Accessed July 15, 2019.
- Stern M, Fava M, Wilens T, Rosenbaum J. Emergency psychiatry In: Massachusetts General Hospital Comprehensive Clinical Psychiatry. 2nd ed. New York, NY: Elsevier; 2016:-.
- Saurman E, Kirby SE, Lyle D. No longer ‘flying blind’: how access has changed emergency mental health care in rural and remote emergency departments, a qualitative study. BMC Health Serv Res. 2015;15:156. doi:10.1186/s12913-015-0839-7
- Wang H, Johnson C, Robinson RD, et al. . Roles of disease severity and post-discharge outpatient visits as predictors of hospital readmissions. BMC Health Serv Res. 2016;16(1):564. doi:10.1186/s12913-016-1814-7
- Zhu JM, Singhal A, Hsia RY. Emergency department length-of-stay for psychiatric visits was significantly longer than for nonpsychiatric visits, 2002-11. Health Aff (Millwood). 2016;35(9):1698-1706. doi:10.1377/hlthaff.2016.0344
- Hamilton JE, Desai PV, Hoot NR, et al. . Factors associated with the likelihood of hospitalization following emergency department visits for behavioral health conditions. Acad Emerg Med. 2016;23(11):1257-1266. doi:10.1111/acem.13044
- Kuszmar TJ, Bell L, Scholz DM. Detox in the ED: taking urgent action. JAAPA. 2000;13(6):43-44, 47-48, 52-54.
- Wright K, McGlen I, Dykes S. Mental health emergencies: using a structured assessment framework. Emerg Nurse. 2012;19(10):28-35. doi:10.7748/en2012.03.19.10.28.c8993
- Nelson EA, Maruish ME, Axler JL. Effects of discharge planning and compliance with outpatient appointments on readmission rates. Psychiatr Serv. 2000;51(7):885-889. doi:10.1176/appi.ps.51.7.885
- Miller IW, Camargo CA Jr, Arias SA, et al. ; ED-SAFE Investigators . Suicide prevention in an emergency department population: the ED-SAFE study. JAMA Psychiatry. 2017;74(6):563-570. doi:10.1001/jamapsychiatry.2017.0678
- Reuland DS, Brenner AT, Hoffman R, et al. . Effect of combined patient decision aid and patient navigation vs usual care for colorectal cancer screening in a vulnerable patient population: a randomized clinical trial. JAMA Intern Med. 2017;177(7):967-974. doi:10.1001/jamainternmed.2017.1294
- Kelly E, Fulginiti A, Pahwa R, Tallen L, Duan L, Brekke JS. A pilot test of a peer navigator intervention for improving the health of individuals with serious mental illness. Community Ment Health J. 2014;50(4):435-446. doi:10.1007/s10597-013-9616-4
- The Columbia Lighthouse Project. The Columbia protocol for communities and healthcare. . Accessed July 17, 2019.
- Posner K, Brown GK, Stanley B, et al. . The Columbia–Suicide Severity Rating Scale: initial validity and internal consistency findings from three multisite studies with adolescents and adults. Am J Psychiatry. 2011;168(12):1266-1277. doi:10.1176/appi.ajp.2011.10111704
- Loudon K, Treweek S, Sullivan F, Donnan P, Thorpe KE, Zwarenstein M. The PRECIS-2 tool: designing trials that are fit for purpose. BMJ. 2015;350:h2147. doi:10.1136/bmj.h2147
- PASS 15 [computer program]. Kaysville, UT: Power Analysis and Sample Size Software; 2017.
- SAS enterprise guide, version 7.1 for Windows on platform 9.4.1 [computer program]. Cary, NC: SAS Institute Inc; 2013.
Source: PubMed