scholarly journals Effectiveness of a Web-based Intervention for Problem Drinkers and Reasons for Dropout: Randomized Controlled Trial

2010 ◽  
Vol 12 (4) ◽  
pp. e68 ◽  
Author(s):  
Marloes G Postel ◽  
Hein A de Haan ◽  
Elke D ter Huurne ◽  
Eni S Becker ◽  
Cor AJ de Jong
Keyword(s):  
Randomized Controlled Trial ◽  
Controlled Trial ◽  
Problem Drinkers ◽  
Web Based ◽  
Randomized Controlled

The Efficacy of a Web-Based Screening and Brief Intervention for Reducing Alcohol Consumption Among Japanese Problem Drinkers: Protocol for a Single-Blind Randomized Controlled Trial (Preprint)

2018 ◽  
Author(s):  
Toshitaka Hamamura ◽  
Shinichiro Suganuma ◽  
Ayumi Takano ◽  
Toshihiko Matsumoto ◽  
Haruhiko Shimoyama
Keyword(s):  
Randomized Controlled Trial ◽  
Brief Intervention ◽  
Alcohol Use Disorder ◽  
Controlled Trial ◽  
Normative Feedback ◽  
Problem Drinkers ◽  
Web Based ◽  
Randomized Controlled ◽  
Main Effects ◽  
Single Blind

BACKGROUND The literature shows that computer-delivered interventions with personalized normative feedback can reduce problem drinking for up to 6 months in the West. Meanwhile, no studies have been conducted to examine the effects of such interventions among Japanese problem drinkers. Possible moderators associated with effectiveness of the intervention need to be also explored. OBJECTIVE The purpose of this study is to conduct a trial and examine the efficacy of a brief intervention with personal normative feedback and psychoeducation on several measures of alcohol consumption among Japanese problem drinkers. Additionally, this study will examine whether the level of alcohol use disorder and beliefs about the physical and psychological outcomes of drinking moderate the effect of the intervention on outcome measures. METHODS This study will conduct a single-blind, 2-armed randomized controlled trial. Japanese adults with an Alcohol Use Disorder Identification Test score of 8 or higher will be enrolled in the trial. Participants allocated to the intervention group will receive the intervention immediately after the baseline measurements, and participants allocated to the waitlist group will receive the intervention at the end of the trial. Outcome measures include drinking quantity, drinking frequency, and alcohol-related consequences. Follow-up assessment will take place at 1 month, 2 months, and 6 months following the baseline measurement. The authors will not know the group allocation during trial. The authors will plan to collect a sample of 600 participants. Mixed-effect analyses of variance will be used to examine the main effects of condition, the main effects of time, and the interaction effects between condition and time on outcome variables. RESULTS Enrollment for the trial began on January 6, 2018 and data are expected to be available by August 2018. CONCLUSIONS This study will contribute to the literature by demonstrating the efficacy of Web-based screenings and brief interventions among Japanese problem drinkers and indicating several possible moderators between the intervention and outcomes. This type of Web-based brief intervention has the possibility of being implemented in Japanese schools and workplaces as a prevention tool. CLINICALTRIAL UMIN Clinical Trials Registry R000034388; https://upload.umin.ac.jp/cgi-open-bin/ctr_e/ctr_view.cgi? recptno=R000034388 (Archived by WebCite at http://www.webcitation.org/6xmOoTfTI) REGISTERED REPORT IDENTIFIER RR1-10.2196/10650

Effectiveness of a web-based medication adherence tool with patient centered communication: Results of a clustered randomized controlled trial (Preprint)

2019 ◽  
Author(s):  
Jan van Lieshout ◽  
Joyca Lacroix ◽  
Aart van Halteren ◽  
Martina Teichert
Keyword(s):  
Randomized Controlled Trial ◽  
Medication Adherence ◽  
Controlled Trial ◽  
Intervention Group ◽  
Control Group ◽  
Community Pharmacies ◽  
Web Based ◽  
Randomized Controlled ◽  
Tailored Interventions ◽  
Increased Risk

BACKGROUND Growing numbers of people use medication for chronic conditions; non-adherence is common, leading to poor disease control. A newly developed web-based tool to identify an increased risk for non-adherence with related potential individual barriers might facilitate tailored interventions and improve adherence. OBJECTIVE To assess the effectiveness of the newly developed tool to improve medication adherence. METHODS A cluster randomized controlled trial assessed the effectiveness of this adherence tool in patients initiating cardiovascular or oral blood glucose lowering medication. Participants were included in community pharmacies. They completed an online questionnaire comprising an assessments of their risk for medication non-adherence and subsequently of barriers to adherence. In pharmacies belonging to the intervention group, individual barriers displayed in a graphical profile on a tablet were discussed by pharmacists and patients at high non-adherence risk in face to face meetings and shared with their general practitioners and practice nurses. Tailored interventions were initiated by the healthcare providers. Barriers of control patients were not presented or discussed and these patients received usual care. The primary outcome was the difference in medication adherence at 8 months follow-up between patients with an increased non-adherence risk from intervention and control group, calculated from dispensing data. RESULTS Data from 492 participants in 15 community pharmacies were available for analyses (intervention 253, 7 pharmacies; control 239, 8 pharmacies). The intervention had no effect on medication adherence (-0.01; 95%CI -0.59 – 0.57; P= .96), neither in the post hoc per protocol analysis (0.19; 95%CI -0.50 – 0.89; P=.58). CONCLUSIONS This study showed no effectiveness of a risk stratification and tailored intervention addressing personal barriers for medication adherence. Various potential explanations for lack of effect were identified. These explanations relate for instance to high medication adherence in the control group, study power and fidelity. Process evaluation should elicit possible improvements and inform the redesign of intervention and implementation. CLINICALTRIAL The Netherlands National Trial Register: NTR5186. Date: May 18, 2015 (http://www.trialregister.nl/trialreg/admin/rctview.asp?TC=5186)

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