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Predictive utility of an emergency department decision support tool in patients with active suicidal ideation.

ABSTRACT: Emergency department (ED) clinicians routinely decide the disposition of patients with suicidal ideation, with potential consequences for patient safety, liability, and system costs and resources. An expert consensus panel recently created a 6-item decision support tool for patients with passive or active suicidal ideation. Individuals scoring a 0 (exhibiting none of the tool's 6 items) are considered "lower risk" and suitable for discharge, while those with non-0 scores are considered "elevated risk" and should receive further evaluation. The current study tested the predictive utility of this tool using existing data from the Emergency Department Safety Assessment and Follow-up Evaluation. ED patients with active suicide ideation (n = 1368) were followed for 12 months after an index visit using telephone assessment and medical chart review. About 1 in 5 patients had attempted suicide during follow-up. Because of the frequency of serious warning signs and risk factors in this population, only three patients met tool criteria for "lower risk" at baseline. The tool had perfect sensitivity, but exceptionally low specificity, in predicting suicidal behavior within 6 weeks and 12 months. In logistic regression analyses, several tool items were significantly associated with suicidal behavior within 6 weeks (suicide plan, past attempt) and 12 months (suicide plan, past attempt, suicide intent, significant mental health condition, irritability/agitation/aggression). Although the tool did not perform well as a binary instrument among those with active suicidal ideation, having a suicide plan identified almost all attempters while suicide plan and past attempt identified over four-fifths of near-term attempts. (PsycINFO Database Record

SUBMITTER: Boudreaux ED

PROVIDER: S-EPMC6082179 | biostudies-literature | 2018 Aug

REPOSITORIES: biostudies-literature

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Predictive utility of an emergency department decision support tool in patients with active suicidal ideation.

Boudreaux Edwin D ED Larkin Celine C Kini Nisha N Capoccia Lisa L Allen Michael H MH Goldstein Grumet Julie J Silverman Morton M MM McKeon Richard R Barton Bruce B Miller Ivan I Formica Scott W SW Camargo Carlos A CA

Psychological services 20180801 3

Emergency department (ED) clinicians routinely decide the disposition of patients with suicidal ideation, with potential consequences for patient safety, liability, and system costs and resources. An expert consensus panel recently created a 6-item decision support tool for patients with passive or active suicidal ideation. Individuals scoring a 0 (exhibiting none of the tool's 6 items) are considered "lower risk" and suitable for discharge, while those with non-0 scores are considered "elevated ...[more]

PMID: 30080084

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Project description:ObjectiveThe objective of this qualitative study is to gauge physician sentiment about an emergency department (ED) clinical decision support (CDS) system implemented in multiple adult EDs within a university hospital system. This CDS system focuses on predicting patients' likelihood of ED recidivism and/or adverse opioid-related events.MethodsThe study was conducted among adult emergency physicians working in three EDs of a single academic health system in Rhode Island. Qualitative, semistructured interviews were conducted with ED physicians. Interviews assessed physicians' prior experience with predictive analytics, thoughts on the alert's placement, design, and content, the alert's overall impact, and potential areas for improvement. Responses were aggregated and common themes identified.ResultsTwenty-three interviews were conducted (11 preimplementation and 12 postimplementation). Themes were identified regarding each physician familiarity with predictive analytics, alert rollout, alert appearance and content, and on alert sentiments. Most physicians viewed these alerts as a neutral or positive EHR addition, with responses ranging from neutral to positive. The alert placement was noted to be largely intuitive and nonintrusive. The design of the alert was generally viewed positively. The alert's content was believed to be accurate, although the decision to respond to the alert's call-to-action was physician dependent. Those who tended to ignore the alert did so for a few reasons, including already knowing the information the alert contains, the alert offering information that is not relevant to this particular patient, and the alert not containing enough information to be useful.ConclusionUltimately, this alert appears to have a marginally positive effect on ED physician workflow. At its most beneficial, the alert reminded physicians to deeply consider the care provided to high-risk populations and to potentially adjust their care and referrals. At its least beneficial, the alert did not affect physician decision-making but was not intrusive to the point of negatively impacting workflow.

Project description:ImportanceFatal human rabies infections can be prevented through appropriate rabies postexposure prophylaxis (PEP). Errors in patient selection and administration of human rabies immune globulin in the emergency department (ED) setting were identified in a previous study of rabies PEP administration.ObjectiveTo test the a priori hypothesis that implementation of a rabies PEP bundle in the ED would improve full adherence to 6 human rabies immune globulin quality indicators compared with preimplementation controls.Design, setting, and participantsThis quality improvement study was conducted in 15 EDs in a US multihospital health system. Patients who received human rabies immune globulin or rabies vaccine in the ED from January 2015 to June 2018 were included in the preimplementation control group and from December 2019 to November 2020 were included in the postimplementation intervention group. Data were analyzed in January 2021.ExposureThe PEP bundle was implemented in December 2019 and consisted of electronic health record enhancements, including clinical decision support, ED staff education, and patient education.Main outcomes and measuresFull adherence to 6 human rabies immune globulin quality indicators: patient selection, dose, timing, infiltration into wounds, administration distant from rabies vaccine site, and administration that avoids the buttock.ResultsThe study included 324 patients; 254 patients were in preimplementation group (mean [SD] age, 39 [21] years; 135 [53%] women) and 70 in the postimplementation group (mean [SD] age, 38 [19] years; 33 [47%] women). Most patients presented to EDs embedded in a community hospital (231 patients [71%]). Full adherence increased from 37% in the preimplementation group to 61% postimplementation (absolute increase, 24%; 95% CI, 11% to 37%; P < .001). Adherence improved for quality indicators for infiltration into wounds (137 of 254 patients [54%] to 50 of 70 patients [71%]; P = .009), administration distant from rabies vaccine site (180 of 254 [71%] to 58 of 70 [83%]; P = .04), and administration that avoids the buttock (168 of 254 [66%] to 58 of 70 [83%]; P = .007). No instances of sciatic nerve injury or compartment syndrome were observed.Conclusions and relevanceIn this quality improvement study, implementation of a rabies PEP bundle was associated with improved patient selection and delivery of human rabies immune globulin in EDs across a multihospital health system. Although the bundle included ED staff education and patient discharge education, the observed improvement was likely driven by clinical decision support from the rabies PEP ED order set. Future research should evaluate implementation of this clinical decision support at other health systems.

Project description:BackgroundThe Canadian Computed Tomography (CT) Head Rule, a clinical decision rule designed to safely reduce imaging in minor head injury, has been rigorously validated and implemented, and yet expected decreases in CT were unsuccessful. Recent work has identified empathic care as a key component in decreasing CT overuse. Health information technology can hinder the clinician-patient relationship. Patient-centered decision tools to support the clinician-patient relationship are needed to promote evidence-based decisions.ObjectiveOur objective is to formatively evaluate an electronic tool that not only helps clinicians at the bedside to determine the need for CT use based on the Canadian CT Head Rule but also promotes evidence-based conversations between patients and clinicians regarding patient-specific risk and patients' specific concerns.MethodsUser-centered design with practice-based and participatory decision aid development was used to design, develop, and evaluate patient-centered decision support regarding CT use in minor head injury in the emergency department. User experience and user interface (UX/UI) development involved successive iterations with incremental refinement in 4 phases: (1) initial prototype development, (2) usability assessment, (3) field testing, and (4) beta testing. This qualitative approach involved input from patients, emergency care clinicians, health services researchers, designers, and clinical informaticists at every stage.ResultsThe Concussion or Brain Bleed app is the product of 16 successive iterative revisions in accordance with UX/UI industry design standards. This useful and usable final product integrates clinical decision support with a patient decision aid. It promotes shared use by emergency clinicians and patients at the point of care within the emergency department context. This tablet computer app facilitates evidence-based conversations regarding CT in minor head injury. It is adaptable to individual clinician practice styles. The resultant tool includes a patient injury evaluator based on the Canadian CT Head Rule and provides patient specific risks using pictographs with natural frequencies and cues for discussion about patient concerns.ConclusionsThis tool was designed to align evidence-based practices about CT in minor head injury patients. It establishes trust, empowers active participation, and addresses patient concerns and uncertainty about their condition. We hypothesize that, when implemented, the Concussion or Brain Bleed app will support-not hinder-the clinician-patient relationship, safely reduce CT use, and improve the patient experience of care.

Dataset Information

Predictive utility of an emergency department decision support tool in patients with active suicidal ideation.

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Predictive utility of an emergency department decision support tool in patients with active suicidal ideation.

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