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AHRQ Research Studies
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Research Studies is a compilation of published research articles funded by AHRQ or authored by AHRQ researchers.
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1 to 6 of 6 Research Studies DisplayedLin Y, Sharma B, Thompson HM
External validation of a machine learning classifier to identify unhealthy alcohol use in hospitalized patients.
This study’s objective was to validate a machine learning approach to alcohol screening using a natural language processing (NLP) classifier developed at an independent medical center. This retrospective cohort study took place at a midwestern US tertiary-care, urban medical center that has an inpatient structured universal screening model for unhealthy substance use and an active addiction consult service. The cohort included 57,605 unplanned admissions of adult patients between October 23, 2017 and December 31, 2019 with electronic health record (EHR) documentation of manual alcohol screening. The authors examined error in manual screening and reviewed discordance between the NLP classifier and AUDIT-derived reference. The classifier demonstrated adequate sensitivity and specificity for routine clinical use as an automated screening tool for identifying at-risk patients.
AHRQ-funded; HS026385.
Citation: Lin Y, Sharma B, Thompson HM .
External validation of a machine learning classifier to identify unhealthy alcohol use in hospitalized patients.
Addiction 2022 Apr;117(4):925-33. doi: 10.1111/add.15730..
Keywords: Alcohol Use, Behavioral Health, Screening, Electronic Health Records (EHRs), Health Information Technology (HIT)
Burner E, Zhang M, Terp S
Feasibility and acceptability of a text message-based intervention to reduce overuse of alcohol in emergency department patients: controlled proof-of-concept trial.
The objective of this study was to assess the feasibility of and patient satisfaction with a text-based mHealth extension of an emergency department (ED) screening program to reduce risky alcohol use in low-income, urban patients. A case-control study was designed using a SMS text message-capable phones to receive mROAD (mobilizing to Reduce Overuse of Alcohol in the ED), an SMS text message-based extension of the ED screening program. mROAD is a 7-day program of twice-daily SMS text messages based on the NIH Health Rethinking Drinking campaign. Of 1028 patients screened, 9.2% exhibited risky alcohol use based on the Alcohol Use Disorders Identification Test (AUDIT) in the ED. Almost a quarter of the patients did not have an SMS text-messaging capable phone, leaving 76% eligible patients. Changes in behavior were similar between the two groups. The number of drinking days reported in the prior 30 days decreased by 5 and the number of heavy drinking days decreased by 4.1. Patients reported an 11-point increase in motivation to change alcohol use via the Change Questionnaire.
AHRQ-funded; HS022402.
Citation: Burner E, Zhang M, Terp S .
Feasibility and acceptability of a text message-based intervention to reduce overuse of alcohol in emergency department patients: controlled proof-of-concept trial.
JMIR Mhealth Uhealth 2020 Jun 4;8(6):e17557. doi: 10.2196/17557..
Keywords: Alcohol Use, Substance Abuse, Emergency Department, Telehealth, Health Information Technology (HIT), Screening, Prevention
Kazemi DM, Borsari B, Levine MJ
Real-time demonstration of a mHealth app designed to reduce college students hazardous drinking.
The authors developed a smartphone application (SmarTrek) that targets college students and aims to reduce risky alcohol use. They found that the majority of participants agreed that SmarTrek was easy to use and that the information provided was useful and had a positive effect on decreasing their drinking.
AHRQ-funded; HS023875.
Citation: Kazemi DM, Borsari B, Levine MJ .
Real-time demonstration of a mHealth app designed to reduce college students hazardous drinking.
Psychol Serv 2019 May;16(2):255-59. doi: 10.1037/ser0000310..
Keywords: Alcohol Use, Behavioral Health, Lifestyle Changes, Health Information Technology (HIT), Substance Abuse, Telehealth, Young Adults
Lapham GT, Rubinsky AD, Shortreed SM
Comparison of provider-documented and patient-reported brief intervention for unhealthy alcohol use in VA outpatients.
This study sought to determine if differences in how brief intervention (BI) was implemented across health systems could lead to differences in the proportion of documented BI recalled and reported by patients across health systems. It found that the association between documented BI and patient-reported BI did not vary across VA networks in adjusted logistic regression models.
AHRQ-funded; HS022800.
Citation: Lapham GT, Rubinsky AD, Shortreed SM .
Comparison of provider-documented and patient-reported brief intervention for unhealthy alcohol use in VA outpatients.
Drug Alcohol Depend 2015 Aug 1;153:159-66. doi: 10.1016/j.drugalcdep.2015.05.027..
Keywords: Alcohol Use, Electronic Health Records (EHRs), Health Information Technology (HIT), Substance Abuse
Williams EC, Achtmeyer CE, Thomas RM
Factors underlying quality problems with alcohol screening prompted by a clinical reminder in primary care: a multi-site qualitative study.
The researchers aimed to understand factors that might contribute to low sensitivity of alcohol screening. Their qualitative study in nine clinics found that implementation of alcohol screening facilitated by a clinical reminder resulted primarily in verbal screening in which questions were not asked verbatim and were otherwise adapted.
AHRQ-funded; HS022800; HS013853.
Citation: Williams EC, Achtmeyer CE, Thomas RM .
Factors underlying quality problems with alcohol screening prompted by a clinical reminder in primary care: a multi-site qualitative study.
J Gen Intern Med 2015 Aug;30(8):1125-32. doi: 10.1007/s11606-015-3248-z..
Keywords: Alcohol Use, Screening, Primary Care, Health Information Technology (HIT)
Quanbeck A, Chih MY, Isham A
Mobile delivery of treatment for alcohol use disorders: A review of the literature.
This article explores questions about mobile applications intended for patients dealing with alcohol-use disorders (AUD) s including: What mHealth applications to treat AUDs exist that have been evaluated in the peer-reviewed literature and how can they be categorized? What are common features of these applications? How effective are currently commercially available mHealth applications for AUDs? What are the characteristics, benefits, and limitations of mHealth applications for AUDs?
AHRQ-funded; HS01991702.
Citation: Quanbeck A, Chih MY, Isham A .
Mobile delivery of treatment for alcohol use disorders: A review of the literature.
Alcohol Res 2014;36(1):111-22..
Keywords: Alcohol Use, Health Information Technology (HIT), Substance Abuse, Telehealth