ABSTRACT
BACKGROUND: When evaluating an emergency department (ED) patient who presents with suicidal ideation, it is a common practice to wait until the patient's ethanol level is known or calculated to be less than 80 mg/dl to evaluate patient safety. We know of no study that establishes an association between the degree of alcohol intoxication based on a blood alcohol level (BAL) and reported suicidal ideation (SI) upon recovery. METHODS: We conducted a retrospective review of patients evaluated in a Midwestern ED for the calendar year 2017. Cases were selected if they had a psychiatric social work consult and a blood alcohol level drawn while in the ED. Patients were selected on the same 2 days each week throughout the year to meet the sample size requirements of the study, resulting in 1084 cases for review. Chi-square analysis was used to evaluate the relationship between suicidal ideation and alcohol intoxication as defined by a BAL ≥80 mg/dl. RESULTS: Among patients presenting with suicidal ideation and a concurrent BAL ≥80 mg/dl, 69% no longer reported suicidal ideation when their BAL was <80 mg/dl, compared to 38% for patients without a positive BAL on presentation (chi-square, p = 0.000012). CONCLUSION: Our data show that patients presenting to the ED with complaints related to suicidal behavior who have a BAL ≥80 mg/dl are more likely to no longer endorse having suicidal ideation once their BAL is < 80 mg/dl than patients with similar presenting complaints and no alcohol intoxication. This finding supports the common ED practice of re-assessing suicidal ideation among individuals who are initially intoxicated once their BAL has decreased below 80 mg/dl.
Subject(s)
Alcoholic Intoxication , Alcoholism , Alcoholic Intoxication/diagnosis , Alcoholic Intoxication/epidemiology , Alcoholic Intoxication/psychology , Blood Alcohol Content , Emergency Service, Hospital , Humans , Retrospective Studies , Suicidal IdeationABSTRACT
The purpose of this research is to quantify differences in key performance indicators between paid and organic (not paid) website traffic over a one year period of time at a regional comprehensive university in Kentucky, which is located in the southeastern United States. Two distinct sources of website traffic can be measured: paid traffic and organic traffic. Using data from website traffic analytics, this study employed multiple linear regression analysis and time series methods to understand the similarities and differences between key performance indicators of paid traffic and organic traffic as they relate to key performance indicators. Data from Google Analytics will be segmented by traffic source type and analyzed using SPSS to return descriptive statistics, multiple linear regression analysis, and time series methods. Results will quantitatively indicate tendencies of users who arrived to a website as a result of paid advertising versus the tendencies of users who arrived to a website via organic methods. Research findings will be useful for higher educational professionals who seek to optimize advertising campaigns and webpages in the student recruitment process. (PsycInfo Database Record (c) 2021 APA, all rights reserved)