Your browser doesn't support javascript.
Testing an mHealth System for Individuals With Mild to Moderate Alcohol Use Disorders: Protocol for a Type 1 Hybrid Effectiveness-Implementation Trial.
Park, Linda S; Chih, Ming-Yuan; Stephenson, Christine; Schumacher, Nicholas; Brown, Randall; Gustafson, David; Barrett, Bruce; Quanbeck, Andrew.
  • Park LS; Department of Family Medicine and Community Health, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI, United States.
  • Chih MY; Department of Health and Clinical Sciences, College of Health Sciences, University of Kentucky, Lexington, KY, United States.
  • Stephenson C; Center for Health Disparities Research, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI, United States.
  • Schumacher N; Department of Family Medicine and Community Health, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI, United States.
  • Brown R; Department of Family Medicine and Community Health, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI, United States.
  • Gustafson D; Department of Industrial and Systems Engineering, College of Engineering, University of Wisconsin-Madison, Madison, WI, United States.
  • Barrett B; Department of Family Medicine and Community Health, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI, United States.
  • Quanbeck A; Department of Family Medicine and Community Health, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI, United States.
JMIR Res Protoc ; 11(2): e31109, 2022 Feb 18.
Article in English | MEDLINE | ID: covidwho-1702600
ABSTRACT

BACKGROUND:

The extent of human interaction needed to achieve effective and cost-effective use of mobile health (mHealth) apps for individuals with mild to moderate alcohol use disorder (AUD) remains largely unexamined. This study seeks to understand how varying levels of human interaction affect the ways in which an mHealth intervention for the prevention and treatment of AUDs works or does not work, for whom, and under what circumstances.

OBJECTIVE:

The primary aim is to detect the effectiveness of an mHealth intervention by assessing differences in self-reported risky drinking patterns and quality of life between participants in three study groups (self-monitored, peer-supported, and clinically integrated). The cost-effectiveness of each approach will also be assessed.

METHODS:

This hybrid type 1 study is an unblinded patient-level randomized clinical trial testing the effects of using an evidence-based mHealth system on participants' drinking patterns and quality of life. There are two groups of participants for this study individuals receiving the intervention and health care professionals practicing in the broader health care environment. The intervention is a smartphone app that encourages users to reduce their alcohol consumption within the context of integrative medicine using techniques to build healthy habits. The primary outcomes for quantitative analysis will be participant data on their risky drinking days and quality of life as well as app use from weekly and quarterly surveys. Cost measures include intervention and implementation costs. The cost per participant will be determined for each study arm, with intervention and implementation costs separated within each group. There will also be a qualitative assessment of health care professionals' engagement with the app as well as their thoughts on participant experience with the app.

RESULTS:

This protocol was approved by the Health Sciences Minimal Risk Institutional Review Board on November 18, 2019, with subsequent annual reviews. Recruitment began on March 6, 2020, but was suspended on March 13, 2020, due to the COVID-19 pandemic restrictions. Limited recruitment resumed on July 6, 2020. Trial status as of November 17, 2021, is as follows 357 participants were enrolled in the study for a planned enrollment of 546 participants.

CONCLUSIONS:

The new knowledge gained from this study could have wide and lasting benefits related to the integration of mHealth systems for individuals with mild to moderate AUDs. The results of this study will guide policy makers and providers toward cost-effective ways to incorporate technology in health care and community settings. TRIAL REGISTRATION ClinicalTrials.gov NCT04011644; https//clinicaltrials.gov/ct2/show/NCT04011644. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID) DERR1-10.2196/31109.
Keywords

Full text: Available Collection: International databases Database: MEDLINE Type of study: Experimental Studies / Observational study / Prognostic study / Qualitative research / Randomized controlled trials Language: English Journal: JMIR Res Protoc Year: 2022 Document Type: Article Affiliation country: 31109

Similar

MEDLINE

...
LILACS

LIS


Full text: Available Collection: International databases Database: MEDLINE Type of study: Experimental Studies / Observational study / Prognostic study / Qualitative research / Randomized controlled trials Language: English Journal: JMIR Res Protoc Year: 2022 Document Type: Article Affiliation country: 31109