Evidence map›Paper›PMID 30055405›Full record

ArticleAlcohol (Fayetteville, N.Y.)2018

Perceived barriers by health care providers for screening and management of excessive alcohol use in an emergency department of a low-income country.

Catherine A Staton, Joao Ricardo Nickenig Vissoci, Rachel Wojcik, Jon Mark Hirshon, Mark Mvungi, Blandina T Mmbaga, Monica Swahn

Abstract read
In one paragraph

Article in Alcohol (Fayetteville, N.Y.), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
1.3field-weighted citation impact, top 20% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

15 citing papers in PubMed, 23 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 5 institutions in 2 countries.

Catherine A StatonDuke Emergency Medicine, Duke University Medical Center, Durham, NC, United States; Duke Global Health Institute, Duke University, Durham, NC, United States. Electronic address: Catherine.staton@duke.edu.
Joao Ricardo Nickenig VissociDuke Emergency Medicine, Duke University Medical Center, Durham, NC, United States; Duke Global Health Institute, Duke University, Durham, NC, United States.
Rachel WojcikUniversity of Colorado School of Medicine, Denver, CO, United States.
Jon Mark HirshonDepartment of Emergency Medicine, University of Maryland School of Medicine, Baltimore, MD, United States.
Mark MvungiKilimanjaro Christian Medical Center, Moshi, Tanzania.
Blandina T MmbagaKilimanjaro Christian Medical Center, Moshi, Tanzania; Kilimanjaro Clinical Research Institute, Moshi, Tanzania.
Monica SwahnSchool of Public Health, Georgia State University, Atlanta, Georgia, United States.
Duke University · USKilimanjaro Christian Medical Centre · TZGeorgia State University · USUniversity of Colorado Denver · USUniversity of Maryland, Baltimore · US

Funding

Addressing High Risk Alcohol Use Amongst Injury Patients in an Emergency Department in TanzaniaK01TW010000 · FIC · DUKE UNIVERSITY · PI STATON, CATHERINE ANN · 2015 to 2018
$477k
FIC NIH HHS K01 TW010000NIAAA NIH HHS L30 AA025227
6 · The paper itself

Abstract

Annually, alcohol causes 3.3 million deaths; countless more alcohol-related injury patients are treated in emergency departments (EDs) worldwide. Studies show that alcohol-related injury patients reduce their at-risk alcohol-use behavior with a brief negotiational interview (BNI) in the ED. This project aims to identify potential perceived barriers to implementing a BNI in Tanzania. A knowledge, attitude, and practice questionnaire was piloted and administered to all emergency department health care practitioners, including physicians, advanced medical officers, and nurses. The questionnaire included the Perceived Alcohol Stigma (PAS) Scale. The survey was self-administered in English, the language of health care instruction, with a Swahili translation available if preferred. Data were analyzed with relative and absolute frequencies and Spearman's correlation. Thirty-four (100%) health care practitioners completed the survey. Our results found positive attitudes toward addressing alcohol misuse (88%), but very poor knowledge of recommended alcohol-use limits (24%). Participants were willing to discuss alcohol use (88%) and to screen (71%) for alcohol-use disorders. Most health care practitioners report significant stigma against those with alcohol-use disorders (39% discrimination, 53% devaluation, 71% either). Counseling patients about high-risk alcohol use was directly and positively associated with at-risk alcohol and counseling education and believing it was common to ask patients about tobacco and alcohol use; it was negatively associated with believing it was 'not my role' or that knowing about alcohol use 'won't make a difference'. Stigma was negatively and indirectly associated with counseling patients. In conclusion, in an ED in Tanzania, health care practitioners have positive attitudes toward addressing at-risk alcohol use, and endorsed having training in alcohol misuse in school. Unfortunately, participants did not demonstrate knowledge of recommended alcohol limit guidelines. Similarly, among practitioners, there is a significant discrimination and devaluation stigma against those who misuse alcohol. These factors must be addressed prior to a successful implementation of an alcohol harm reduction intervention.

Indexed as

Emergency Service, HospitalHealth Knowledge, Attitudes, PracticeHealth Services AccessibilityAdultAgedAlcoholismDeveloping CountriesFemaleHealth PersonnelHumansMiddle AgedSocial StigmaTanzaniaYoung AdultAlcohol useBrief interventionEducationEmergency departmentStigma

Identifiers

PMID30055405
PMCPMC6467255
OpenAlexW2783357623

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.