Emergency department safety assessment and follow-up evaluation 2: An implementation trial to improve suicide prevention.

BACKGROUND: Emergency departments (EDs) are important for preventing suicide. Historically, many patients with suicide risk are not detected during routine clinical care, and those who are often do not receive suicide-specific intervention. The original Emergency Department Safety Assessment and Follow-up Evaluation (ED-SAFE 1) study examined the implementation of universal suicide risk screening and a multi-component ED-initiated suicide prevention intervention. PURPOSE: The ED-SAFE 2 aims to study the impact of using a continuous quality improvement approach (CQI) to improve suicide related care, with a focus on improving universal suicide risk screening in adult ED patients and evaluating implementation of a new brief intervention called the Safety Planning Intervention (SPI) into routine clinical practice. CQI is a quality management process that uses data and collaboration to drive incremental, iterative improvements. The SPI is a personalized approach that focuses on early identification of warning signs and execution of systematic steps to manage suicidal thoughts. ED-SAFE 2 will provide data on the effectiveness of CQI procedures in improving suicide-related care processes, as well as the impact of these improvements on reducing suicide-related outcomes. METHODS: Using a stepped wedge design, eight EDs collected data cross three study phases: Baseline (retrospective), Implementation (12 months), and Maintenance (12 months). Lean methods, a specific approach to pursuing CQI which focuses on increasing value and eliminating waste, were used to evaluate and improve suicide-related care. CONCLUSIONS: The results will build upon the success of the ED-SAFE 1 and will have a broad public health impact through promoting better suicide-related care processes and improved suicide prevention.

Applying Computer Adaptive Testing Methods to Suicide Risk Screening in the Emergency Department.

OBJECTIVE: Combine test theory with technology to develop brief, reliable suicide risk measures in the emergency department. METHODS: A computer adaptive test for suicide risk was built using the Beck Scale for Suicide Ideation and tested among the emergency department population. Data were analyzed from a sample of 1,350 patients in several Massachusetts emergency departments. The test was built as outlined by the National Institutes of Health Patient-Reported Outcomes Measurement Information System. RESULTS: Of 1,350 patients, 74 (5%) scored above the cutoff of BSS > 2. Item 2, "Wish to die", was the most informative item. When using only Item 2, 20% (n = 15/74) of at-risk patients and 3% (n = 40/1,276) of not-at-risk patients were misclassified. Patients were classified after four items with computer adaptive testing trait estimates highly comparable to those of the full scale. The precision rule model did not reduce the scale. CONCLUSIONS: This study models the creation of a computer adaptive test for suicide ideation and marks the start of the development of computer adaptive tests as a novel suicide risk screening tool in the emergency department. Computer adaptive tests hold promise for revolutionizing behavioral health screening by addressing barriers including time and knowledge deficits.

Health Evaluation and Referral Assistant: A Randomized Controlled Trial of a Web-Based Screening, Brief Intervention, and Referral to Treatment System to Reduce Risky Alcohol Use Among Emergency Department Patients.

BACKGROUND: Computer technologies hold promise for implementing alcohol screening, brief intervention, and referral to treatment (SBIRT). Questions concerning the most effective and appropriate SBIRT model remain. OBJECTIVE: The aim of this study was to evaluate the impact of a computerized SBIRT system called the Health Evaluation and Referral Assistant (HERA) on risky alcohol use treatment initiation. METHODS: Alcohol users (N=319) presenting to an emergency department (ED) were considered for enrollment. Those enrolled (n=212) were randomly assigned to the HERA, to complete a patient-administered assessment using a tablet computer, or a minimal-treatment control, and were followed for 3 months. Analyses compared alcohol treatment provider contact, treatment initiation, treatment completion, and alcohol use across condition using univariate comparisons, generalized estimating equations (GEEs), and post hoc chi-square analyses. RESULTS: HERA participants (n=212; control=115; intervention=97) did not differ between conditions on initial contact with an alcohol treatment provider, treatment initiation, treatment completion, or change in risky alcohol use behavior. Subanalyses indicated that HERA participants, who accepted a faxed referral, were more likely to initiate contact with a treatment provider and initiate treatment for risky alcohol use, but were not more likely to continue engaging in treatment, or to complete treatment and change risky alcohol use behavior over the 3-month period following the ED visit. CONCLUSIONS: The HERA promoted initial contact with an alcohol treatment provider and initiation of treatment for those who accepted the faxed referral, but it did not lead to reduced risky alcohol use behavior. Factors which may have limited the HERA's impact include lack of support for the intervention by clinical staff, the low intensity of the brief and stand-alone design of the intervention, and barriers related to patient follow-through, (eg, a lack of transportation or childcare, fees for services, or schedule conflicts). TRIAL REGISTRATION: International Standard Randomized Controlled Trial Number (ISRCTN): NCT01153373; https://clinicaltrials.gov/ct2/show/NCT01153373 (Archived by WebCite at http://www.webcitation.org/6pHQEpuIF).

A systematic review of smartphone applications for smoking cessation.

Tobacco use is the leading cause of preventable disease and death in the USA. However, limited data exists regarding smoking cessation mobile app quality and intervention effectiveness. Innovative and scalable interventions are needed to further alleviate the public health implications of tobacco addiction. The proliferation of the smartphone and the advent of mobile phone health interventions have made treatment more accessible than ever. The purpose of this review was to examine the relation between published scientific literature and available commercial smartphone health apps for smoking cessation to identify the percentage of scientifically supported apps that were commercially available to consumers and to determine how many of the top commercially available apps for smoking cessation were supported by the published scientific literature. Adhering to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines, apps were reviewed in four phases: (1) identified apps from the scientific literature, (2) searched app stores for apps identified in the literature, (3) identified top apps available in leading app stores, and (4) determined which top apps available in stores had scientific support. Seven articles identified six apps with some level of scientific support, three (50%) were available in at least one app store. Conversely, among the top 50 apps suggested by each of the leading app stores, only two (4%) had any scientific support. While half of the scientifically vetted apps remain available to consumers, they are difficult to find among the many apps that are identified through app store searches.