Using Behavioural Insights to Improve the Uptake of Services for Drug and Alcohol Misuse.
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ABSTRACT:
SUBMITTER: Alderson H
PROVIDER: S-EPMC8297083 | biostudies-literature |
REPOSITORIES: biostudies-literature
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Project description:Alcohol misuse, one of today's greatest public health challenges, is a developmentally dynamic, complex behavior at the intersection of genetic and environmental influences. This review examines such influences from a behavior genetics perspective and discusses implications for public policy. Alcohol misuse is moderately heritable with genetic influences accounting for around 50% of its variance, but to date few specific genes have been identified. However, numerous environmental and social factors moderate genetic risk, including parents, peers, romantic partners, family dynamics, employment, laws, and cultural influences. These moderating factors change in salience across development, and, accordingly, no one-size-fits-all approach is suitable for reducing alcohol misuse at a large scale. We provide examples of some effective prevention and intervention programs and discuss a framework for using the behavior genetics evidence to inform future public policy efforts.
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Project description:BackgroundEmergency department (ED) patients comprise a high-risk population for alcohol misuse and sexual risk for HIV. In order to design future interventions to increase HIV screening uptake, we examined the interrelationship among alcohol misuse, sexual risk for HIV and HIV screening uptake among these patients.MethodsA random sample of 18-64-year-old English- or Spanish-speaking patients at two EDs during July-August 2009 completed a self-administered questionnaire about their alcohol use using the Alcohol Use Questionnaire, the Alcohol Use Disorders Identification Test (AUDIT), and the HIV Sexual Risk Questionnaire. Study participants were offered a rapid HIV test after completing the questionnaires. Binging (? five drinks/occasion for men, ? four drinks for women) was assessed and sex-specific alcohol misuse severity levels (low-risk, harmful, hazardous, dependence) were calculated using AUDIT scores. Analyses were limited to participants who had sexual intercourse in the past 12 months. Multivariable logistic regression was used to assess the associations between HIV screening uptake and (1) alcohol misuse, (2) sexual risk for HIV, and (3) the intersection of HIV sexual risk and alcohol misuse. Adjusted odds ratios (AORs) with 95% confidence intervals (CIs) were estimated. All models were adjusted for patient demographic characteristics and separate models for men and women were constructed.ResultsOf 524 participants (55.0% female), 58.4% identified as white, non-Hispanic, and 72% reported previous HIV testing. Approximately 75% of participants reported drinking alcohol within the past 30 days and 74.5% of men and 59.6% of women reported binge drinking. A relationship was found between reported sexual risk for HIV and alcohol use among men (AOR 3.31 [CI 1.51-7.24]) and women (AOR 2.78 [CI 1.48-5.23]). Women who reported binge drinking were more likely to have higher reported sexual risk for HIV (AOR 2.55 [CI 1.40-4.64]) compared to women who do not report binge drinking. HIV screening uptake was not higher among those with greater alcohol misuse and sexual risk among men or women.ConclusionsThe apparent disconnection between HIV screening uptake and alcohol misuse and sexual risk for HIV among ED patients in this study is concerning. Brief interventions emphasizing these associations should be evaluated to reduce alcohol misuse and sexual risk and increase the uptake of ED HIV screening.
| S-EPMC3686630 | biostudies-literature
Project description:PURPOSE:Sexual violence (SV), teen dating violence (TDV), and substance use are significant public health concerns among U.S. adolescents. This study examined whether latent classes of baseline alcohol and prescription drug misuse longitudinally predict SV and TDV victimization and perpetration (i.e., verbal,relational, physical/threatening, and sexual) 1 year later. METHODS:Students from six Midwestern high schools (n?=?1,875; grades 9-11) completed surveys across two consecutive spring semesters. Latent class analysis was used to identify classes of individuals according to four substance use variables. A latent class regression and a manual three-step auxiliary approach were used to assess concurrent and distal relationships between identified classes and SV and TDV victimization and perpetration. RESULTS:Three classes of substance use were identified: low/no use (41% of sample), alcohol only use (45%), and alcohol and prescription drug misuse (APD) (14%). Youth in the APD class experienced greater SV and TDV victimization and perpetration than the alcohol only class at baseline. At Time 2 (one year later), youth in the baseline APD class experienced significantly higher SV and TDV victimization and perpetration outcomes than youth in the alcohol only class with the exception of sexual and physical TDV perpetration. CONCLUSIONS:The misuse of both alcohol and prescription drugs emerged as a significant risk factor for later SV and TDV among adolescents. As such, it would be beneficial if future research continued to assess the nature of these associations and incorporate prescription drug use and misuse into heath education,substance use, and violence prevention programs.
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Project description:Having recognized that variation around the population-level "Golden Mean" of labile traits contains biologically meaningful information, behavioural ecologists have focused increasingly on exploring the causes and consequences of individual variation in behaviour. These are exciting new directions for the field, assisted in no small part by the adoption of mixed-effects modelling techniques that enable the partitioning of among- and within-individual behavioural variation. It has become commonplace to extract predictions of individual random effects from such models for use in subsequent analyses (for example, between a personality trait and other individual traits such as cognition, physiology, or fitness-related measures). However, these predictions are made with large amounts of error that is not carried forward, rendering further tests susceptible to spurious P values from these individual-level point estimates. We briefly summarize the problems with such statistical methods that are used regularly by behavioural ecologists, and highlight the robust solutions that exist within the mixed model framework, providing tutorials to aid in their implementation.
| S-EPMC5873244 | biostudies-literature
Project description:IntroductionThere is a growing concern about the misuse of over the counter (OTC) and prescription only medication (POM) because of the impact on physical and mental health, drug interactions, overdoses and drug-related deaths. These medicines include opioid analgesics, anxiolytics such as pregabalin and diazepam and antidepressants. This protocol outlines how a systematic review will be undertaken (during June 2021), which aims to examine the literature on the pattern of OTC and POM misuse among adults who are accessing substance misuse treatment services. It will include the types of medication being taken, prevalence and demographic characteristics of people who access treatment services.Methods and analysisAn electronic search will be conducted on the Cochrane, OVID Medline, Pubmed, Scopus and Web of Science databases as well as grey literature. Two independent reviewers will conduct the initial title and abstract screenings, using predetermined criteria for inclusion and exclusion. If selected for inclusion, full-text data extraction will be conducted using a pilot-tested data extraction form. A third reviewer will resolve disagreements if consensus cannot be reached. Quality and risk of bias assessment will be conducted for all included studies. A qualitative synthesis and summary of the data will be provided. If possible, a meta-analysis with heterogeneity calculation will be conducted; otherwise, Synthesis Without Meta-analysis will be undertaken for quantitative data. The reporting of this protocol follows the Preferred Reporting Items for Systematic Reviews and Meta-Analyses.Ethics and disseminationEthical approval is not required. Findings will be peer reviewed, published and shared verbally, electronically and in print, with interested clinicians and policymakers.Prospero registration numberCRD42020135216.
| S-EPMC8220460 | biostudies-literature
Project description:Most previous brief intervention (BI) studies have focused on alcohol or drug use, instead of both substances. Our primary aim was to determine if an alcohol- and drug-use BI reduced alcohol use and increased alcohol treatment services utilization among adult emergency department (ED) patients who drink alcohol and require an intervention for their drug use. Our secondary aims were to assess when the greatest relative reductions in alcohol use occurred, and which patients (stratified by need for an alcohol use intervention) reduced their alcohol use the most. In this secondary analysis, we studied a sub-sample of participants from the Brief Intervention for Drug Misuse in the Emergency Department (BIDMED) randomized, controlled trial of a BI vs. no BI, whose responses to the Alcohol, Smoking and Substance Involvement Screening Test (ASSIST) indicated a need for a BI for any drug use, and who also reported alcohol use. Participants were stratified by their ASSIST alcohol subscore: 1) no BI needed, 2) a BI needed, or 3) an intensive intervention needed for alcohol use. Alcohol use and alcohol treatment services utilization were measured every 3 months for 12 months post-enrollment. Of these 833 participants, median age was 29 years-old, 46% were female; 55% were white/non-Hispanic, 27% black/non-Hispanic, and 15% Hispanic. Although any alcohol use, alcohol use frequency, days of alcohol use, typical drinks consumed/day, and most drinks consumed/day decreased in both the BI and no BI arms, there were no differences between study arms. Few patients sought alcohol use treatment services in follow-up, and utilization also did not differ by study arm. Compared to baseline, alcohol use reduced the most during the first 3 months after enrollment, yet reduced little afterward. Participants whose ASSIST alcohol subscores indicated a need for an intensive intervention generally had the greatest relative decreases in alcohol use. These results indicate that the BI was not efficacious in reducing alcohol use among alcohol- and drug-using adult ED patients than the self-assessments alone, but suggest that self-assessments with or without a BI may confer reductions in alcohol use.
| S-EPMC5681406 | biostudies-literature
Project description:Background: Individuals who engage in alcohol and cannabis co-occurring use are at heightened risk for negative outcomes than individuals who only use alcohol or only use cannabis, but far less is known about implications of alcohol and cannabis co-occurring use for prescription drug misuse (PDM).Objectives: This study aimed to (1) identify whether co-occurring use was linked with greater risk for PDM across ages 18-60 and to determine ages at which this association was strongest, (2) determine whether associations remain after controlling for pain severity, and (3) test for gender differences.Methods: Cross-sectional data were from Wave 1 of the Population Assessment of Tobacco and Health (PATH) study. The analytic sample included 20,120 (50.6%wt men) individuals aged 18-60 reporting past-year alcohol and/or cannabis use.Results: Time-varying effect models indicated that individuals reporting co-occurring use were at increased risk for PDM than individuals reporting single-substance use across all ages, with odds ratios peaking at >3 at age 34. After controlling for pain severity, associations were only slightly weakened. Associations were slightly stronger for men than women from ages 28 to 35.Conclusion: Co-occurring use was linked with heightened risk for PDM compared to individuals who used only one substance; co-occurring use may be important to target for PDM prevention. Identifying factors underlying study associations, beyond pain, and how these factors evolve with age are important avenues for prevention work.
| S-EPMC8543337 | biostudies-literature
Project description:Artificial intelligence (AI) is one hotspot of research in the field of modern medical technology. Medical AI has been applied to various areas and has two main branches including virtual and physical. Recently, Chinese State Council issued a guideline on developing AI and indicated that the widespread application of AI will improve the level of precision in medical services and achieve the intelligent medical care. Medical resources, especially the high-quality resources, are deficient across the entire health service system in China. AI technologies, such that virtual AI and telemedical technology, are expected to overcome the current limitations of the distribution of medical resources and relieve the pressure associated with obtaining high-quality health care.
| S-EPMC7327308 | biostudies-literature
Project description:ObjectivesThe aim of the study was to determine whether behaviourally informed short message service (SMS) primer and reminder messages could increase the return rate of HIV self-sampling kits ordered online.MethodsThe study was a 2 × 2 factorial design randomized control trial. A total of 9585 individuals who ordered a self-sampling kit from www.freetesting.hiv different SMS combinations: 1) standard reminders sent days 3 and 7 after dispatch (control); 2) primer sent 1 day after dispatch plus standard reminders; 3) behavioural insights (BI) reminders (no primer); or 4) primer plus BI reminders. The analysis was restricted to individuals who received all messages (n = 8999). We used logistic regression to investigate independent effects of the primer and BI reminders and their interaction. We explored the impact of sociodemographic characteristics on kit return as a secondary analysis.ResultsThose who received the primer and BI reminders had a return rate 4% higher than that of those who received the standard messages. We found strong evidence of a positive effect of the BI reminders (odds ratio 1.13; 95% confidence interval 1.04-1.23; P = 0.003) but no evidence for an effect of the primer, or for an interaction between the two interventions. Odds of kit return increased with age, with those aged ? 65 years being almost 2.5 times more likely to return the kit than those aged 25-34 years. Men who have sex with men were 1.5-4.5 times more likely to return the kit compared with other sexual behaviour and gender identity groups. Non-African black clients were 25% less likely to return the kit compared with other ethnicities.ConclusionsAdding BI to reminder messages was successful in improving return rates at no additional cost.
| S-EPMC6175432 | biostudies-literature
Project description:BackgroundCurrent modes of identifying alcohol misuse in hospitalized patients rely on self-report questionnaires and diagnostic codes that have limitations, including low sensitivity. Information in the clinical notes of the electronic health record (EHR) may further augment the identification of alcohol misuse. Natural language processing (NLP) with supervised machine learning has been successful at analyzing clinical notes and identifying cases of alcohol misuse in trauma patients.MethodsAn alcohol misuse NLP classifier, previously developed on trauma patients who completed the Alcohol Use Disorders Identification Test, was validated in a cohort of 1000 hospitalized patients at a large, tertiary health system between January 1, 2007 and September 1, 2017. The clinical notes were processed using the clinical Text Analysis and Knowledge Extraction System. The National Institute on Alcohol Abuse and Alcoholism (NIAAA) guidelines for alcohol misuse were used during annotation of the medical records in our validation dataset.ResultsThe alcohol misuse classifier had an area under the receiver operating characteristic curve of 0.91 (95% CI 0.90-0.93) in the cohort of hospitalized patients. The sensitivity, specificity, positive predictive value, and negative predictive value were 0.88 (95% CI 0.85-0.90), 0.78 (95% CI 0.74-0.82), 0.85 (95% CI 0.82-0.87), and 0.82 (95% CI 0.78-0.86), respectively. The Hosmer-Lemeshow Test (p = 0.13) demonstrates good model fit. Additionally, there was a dose-dependent response in alcohol consumption behaviors across increasing strata of predicted probabilities for alcohol misuse.ConclusionThe alcohol misuse NLP classifier had good discrimination and test characteristics in hospitalized patients. An approach using the clinical notes with NLP and supervised machine learning may better identify alcohol misuse cases than conventional methods solely relying on billing diagnostic codes.
| S-EPMC7101259 | biostudies-literature