scholarly journals Association Between Receipt of Brief Alcohol Intervention and Quality of Care among Veteran Outpatients with Unhealthy Alcohol Use

2015 ◽  
Vol 30 (8) ◽  
pp. 1097-1104 ◽  
Author(s):  
Joseph A. Simonetti ◽  
Gwen T. Lapham ◽  
Emily C. Williams
2017 ◽  
Vol 76 ◽  
pp. 11-17 ◽  
Author(s):  
Kimberly A. Hepner ◽  
Katherine E. Watkins ◽  
Carrie M. Farmer ◽  
Lisa Rubenstein ◽  
Eric R. Pedersen ◽  
...  

2019 ◽  
Vol 96 (3) ◽  
pp. 184-188
Author(s):  
J Carlo Hojilla ◽  
Julia Marcus ◽  
Jonathan E Volk ◽  
Wendy Leyden ◽  
C Bradley Hare ◽  
...  

ObjectivesPeople with HIV (PWH) have a high burden of bacterial sexually transmitted infections (STIs). We examined the relationship of alcohol and drug use and partner pre-exposure prophylaxis (PrEP) use to STI prevalence in a cohort of PWH with a history of unhealthy alcohol use.MethodsWe analysed data from a primary care-based alcohol intervention study at Kaiser Permanente Northern California (KPNC). Participants were recruited between April 2013 and May 2015 and were followed for up to 24 months. We linked participant responses to questions from the 24 month follow-up interview, including alcohol and drug use and partner PrEP use, with STI test results (ie, syphilis, chlamydia, gonorrhoea) in the KPNC electronic health record. Prevalence ratios (PR) were estimated using Poisson models fitted with robust variance estimators to evaluate the association of substance use and partner use of PrEP with STIs.ResultsIn the analytic sample (n=465), the median age was 52 years (IQR 45–59); 67% were white; 95% were men who have sex with men. Thirty-two per cent of participants had HIV-positive partners only; 31% had HIV-negative partners with at least one on PrEP in the previous year and 37% had HIV-negative partners without any on PrEP. Twenty-three per cent reported alcohol and drug use prior to sex in the last 6 months. Eight per cent of participants had an STI. Partner PrEP use (adjusted PR (aPR) 2.99 (95% CI 1.11 to 8.08)) was independently associated with higher STI prevalence. Participants who reported use of alcohol (aPR 1.53 (0.61 to 3.83)), drugs (aPR 1.97 (0.71 to 5.51)) or both (aPR 1.93 (0.75 to 4.97)) prior to sex had a higher STI prevalence.ConclusionsThe higher prevalence of STIs among PWH with unhealthy alcohol use who have partners on PrEP suggests that this subgroup may be a high-yield focus for targeted outreach, STI screening and sexual health counselling.


2021 ◽  
Vol 25 (3) ◽  
pp. 182-190
Author(s):  
S. R. Cox ◽  
A. N. Gupte ◽  
B. Thomas ◽  
S. Gaikwad ◽  
V. Mave ◽  
...  

BACKGROUND: Approximately 10% of incident TB cases worldwide are attributable to alcohol. However, evidence associating alcohol with unfavorable TB treatment outcomes is weak.METHODS: We prospectively evaluated men (≥18 years) with pulmonary TB in India for up to 24 months to investigate the association between alcohol use and treatment outcomes. Unhealthy alcohol use was defined as a score of ≥4 on the Alcohol Use Disorders Identification Test-Concise (AUDIT-C) scale at entry. Unfavorable TB treatment outcomes included failure, recurrence, and all-cause mortality, analyzed as composite and independent endpoints.RESULTS: Among 751 men, we identified unhealthy alcohol use in 302 (40%). Median age was 39 years (IQR 28–50); 415 (55%) were underweight (defined as a body mass index [BMI] <18.5 kg/m2); and 198 (26%) experienced an unfavorable outcome. Unhealthy alcohol use was an independent risk factor for the composite unfavorable outcome (adjusted incidence rate ratio [aIRR] 1.47, 95% CI 1.05–2.06; P = 0.03) and death (aIRR 1.90, 95% CI 1.08–3.34; P = 0.03), specifically. We found significant interaction between AUDIT-C and BMI; underweight men with unhealthy alcohol use had increased risk of unfavorable outcomes (aIRR 2.22, 95% CI 1.44–3.44; P < 0.001) compared to men with BMI ≥18.5 kg/m2 and AUDIT-C <4.CONCLUSION: Unhealthy alcohol use was independently associated with unfavorable TB treatment outcomes, highlighting the need for integrating effective alcohol interventions into TB care.


2009 ◽  
Vol 34 (8) ◽  
pp. 636-640 ◽  
Author(s):  
Nicolas Bertholet ◽  
Debbie M. Cheng ◽  
Tibor P. Palfai ◽  
Jeffrey H. Samet ◽  
Richard Saitz

2018 ◽  
Author(s):  
Ting Song ◽  
Siyu Qian ◽  
Ping Yu

BACKGROUND Unhealthy alcohol use (UAU) is one of the major causes of preventable morbidity, mortality, and associated behavioral risks worldwide. Although mobile health (mHealth) interventions can provide consumers with an effective means for self-control of UAU in a timely, ubiquitous, and cost-effective manner, to date, there is a lack of understanding about different health outcomes brought by such interventions. The core components of these interventions are also unclear. OBJECTIVE This study aimed to systematically review and synthesize the research evidence about the efficacy of mHealth interventions on various health outcomes for consumer self-control of UAU and to identify the core components to achieve these outcomes. METHODS We systematically searched 7 electronic interdisciplinary databases: Scopus, PubMed, PubMed Central, CINAHL Plus with full text, MEDLINE with full text, PsycINFO, and PsycARTICLES. Search terms and Medical Subject Headings “mHealth,” “text message,” “SMS,” “App,” “IVR,” “self-control,” “self-regulation,” “alcohol*,” and “intervention” were used individually or in combination to identify peer-reviewed publications in English from 2008 to 2017. We screened titles and abstracts and assessed full-text papers as per inclusion and exclusion criteria. Data were extracted from the included papers according to the Consolidated Standards of Reporting Trials-EHEALTH checklist (V 1.6.1) by 2 authors independently. Data quality was assessed by the Mixed Methods Appraisal Tool. Data synthesis and analyses were conducted following the procedures for qualitative content analysis. Statistical testing was also conducted to test differences among groups of studies. RESULTS In total, 19 studies were included in the review. Of these 19 studies, 12 (63%) mHealth interventions brought significant positive outcomes in improving participants’ health as measured by behavioral (n=11), physiological (n=1), and cognitive indicators (n=1). No significant health outcome was reported in 6 studies (6/19, 32%). Surprisingly, a significant negative outcome was reported for the male participants in the intervention arm in 1 study (1/19, 5%), but no change was found for the female participants. In total, 5 core components reported in the mHealth interventions for consumer self-control of UAU were context, theoretical base, delivery mode, content, and implementation procedure. However, sound evidence is yet to be generated about the role of each component for mHealth success. The health outcomes were similar regardless of types of UAU, deployment setting, with or without nonmobile cointervention, and with or without theory. CONCLUSIONS Most studies reported mHealth interventions for self-control of UAU appeared to be improving behavior, especially the ones delivered by short message service and interactive voice response systems. Further studies are needed to gather sound evidence about the effects of mHealth interventions on improving physiological and cognitive outcomes as well as the optimal design of these interventions, their implementation, and effects in supporting self-control of UAU.


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