Skip to content

Implementing Mobile Technology for Unhealthy Alcohol Use

Implementing Mobile Technology for Unhealthy Alcohol Use in Emergency Departments

Status
Completed
Phases
Unknown
Study type
Interventional
Source
ClinicalTrials.gov
Registry ID
NCT05350878
Enrollment
228
Registered
2022-04-28
Start date
2023-10-01
Completion date
2024-12-01
Last updated
2026-08-07

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Alcohol Drinking

Keywords

Implementation Science, Text Messaging, Unhealthy Alcohol Use, Mobile Health, mHealth

Brief summary

Scalable approaches are needed to support patients identified in the emergency department as unhealthy alcohol users and text messaging intervention approaches are a promising solution. However, the process of providers making text messing interventions for unhealthy alcohol use available to patients in an efficient way within already busy and overburdened emergency department workflows (i.e., implementation in real-world emergency department settings) and patients adopting them remains a new area of research. Study investigators will examine barriers and facilitators to the adoption of text messaging interventions for unhealthy alcohol use in emergency departments and use a stakeholder-engaged process to develop and test practical implementation strategies that could provide much needed support to patients who screen positive while reducing burden on emergency departments.

Detailed description

Unhealthy alcohol use (UAU) is one of the leading causes of premature mortality among adults in the United States and has been increasing during the COVID-19 pandemic. UAU is more frequent among emergency department (ED) patients than in the general population and ED visits involving alcohol consumption have increased in recent years. Substance use has been described as the most important modifiable health behavior in the ED, and the ED has been highlighted as a key setting to intervene with UAU individuals. Consequently, health systems across the country need low burden, scalable ways to intervene with individuals but often have limited time and resources. Mobile technologies have been suggested as a solution to assist EDs in addressing UAU and one of the lowest burden, scalable approaches are text messaging interventions. Text messaging interventions for ED and trauma patients and other populations have shown good outcomes, including reductions in drinking quantity and frequency. Despite strong research support and promise for scalability, there is little evidence that technology-based behavioral health interventions can be effectively implemented into healthcare settings. There are few studies in which technology interventions for behavioral health are put into real world healthcare settings; those that have been conducted show that the benefits seen in randomized trials are often not realized. While EDs are promising venues for addressing UAU using text messaging interventions, the process of providers making them available to patients in an efficient way within already busy and overburdened ED workflows (i.e., implementation in real-world ED settings) and patients adopting them remains a new area of research. This proposal builds on the longstanding collaboration of our interdisciplinary team on the implementation of substance use screening and brief interventions in healthcare settings. In response to the NIH Notice of Special Interest for Research in the Emergency Setting, the investigators propose to examine potential barriers and facilitators to staff offering and patients accepting a text messaging intervention in the ED. The investigators will then use a stakeholder-engaged Intervention Mapping process to develop a multi-component implementation strategy for EDs. Finally, the investigators will conduct a mixed method 2-arm cluster-randomized pilot study in 4 EDs that serve \ 13,000 UAU patients per year to assess the feasibility, acceptability and preliminary effectiveness of the implementation strategy. The Integrated Promoting Action on Research Implementation in Health Services (i-PARIHS) framework will guide study activities. Low burden technology, like text messaging, along with targeted implementation support and strategies driven by identified barriers and facilitators could sustain large-scale ED-based alcohol screening programs and provide much needed support to patients who screen positive while reducing burden on EDs. The proposed study would be the first to develop and test this targeted implementation strategy. This 2-year R21 will prepare for a future, larger, fully-powered hybrid effectiveness-implementation trial.

Interventions

Virtual and in-person implementation support

Sponsors

UConn Health
Lead SponsorOTHER
Northwell Health
CollaboratorOTHER
Partnership to End Addiction
CollaboratorOTHER
National Institute on Alcohol Abuse and Alcoholism (NIAAA)
CollaboratorNIH

Study design

Allocation
RANDOMIZED
Intervention model
PARALLEL
Primary purpose
HEALTH_SERVICES_RESEARCH
Masking
NONE

Intervention model description

Parallel Cluster Randomized

Eligibility

Sex/Gender
ALL
Age
18 Years to No maximum
Healthy volunteers
No

Inclusion criteria

Patient Inclusion Criteria * Emergency department patient at one of the participating sites * 18 years or older * English-language fluency * Owing a text-capable phone Staff Inclusion Criteria: * Emergency department staff and providers who work in the intervention sites * Employed full or part time by the participating health system

Exclusion criteria

None

Design outcomes

Primary

MeasureTime frameDescription
Implementation Effectiveness5-month intervention period and subsequent sustainability periodThe proportion of eligible patients who enrolled in the alcohol text messaging intervention in the implementation intervention and the control condition.

Secondary

MeasureTime frameDescription
Implementation Feasibility Using the Feasibility of Intervention Measure (FIM)6-months post-interventionFeasibility of text messaging implementation strategy using the Feasibility of Intervention Measure (FIM). Measures the extent to which an intervention can be successfully used or implemented in a given context. 1 = Completely disagree, 2 = Disagree, 3 = Neither agree nor disagree, 4 = Agree, 5 = Completely agree. Higher scores indicate better feasibility.
Implementation Acceptability Using the Acceptability of Intervention Measure (AIM)6-months post-interventionAcceptability of text messaging implementation strategy; AIM (Acceptability of Intervention Measure) evaluates how agreeable, palatable, or satisfactory an intervention is to stakeholders. Response Scale: 1 = Completely disagree, 2 = Disagree, 3 = Neither agree nor disagree, 4 = Agree, 5 = Completely agree. Higher scores indicate better acceptability.

Countries

United States

Contacts

PRINCIPAL_INVESTIGATORMegan A O'Grady, PhD

UConn Health

Participant flow

Recruitment details

Units of randomization were emergency departments. Two emergency departments were assigned to the Implementation Intervention Condition, and 2 to the Implementation as Usual Condition for a total of 4 emergency departments. Within the Implementation Intervention condition emergency department sites, staff and patients were surveyed and demographics were collected. Within the Implementation as Usual condition emergency departments sites, data was only collected for patients.

Baseline characteristics

Characteristic
Age, Continuous39.34 Years
Race (NIH/OMB)
American Indian or Alaska Native
2 Participants
Race (NIH/OMB)
Asian
8 Participants
Race (NIH/OMB)
Black or African American
14 Participants
Race (NIH/OMB)
More than one race
10 Participants
Race (NIH/OMB)
Native Hawaiian or Other Pacific Islander
3 Participants
Race (NIH/OMB)
Unknown or Not Reported
5 Participants
Race (NIH/OMB)
White
104 Participants
Sex: Female, Male
Female
34 Participants
Sex: Female, Male
Male
31 Participants

Adverse events

Event typeEG000
affected / at risk
EG001
affected / at risk
deaths
Total, all-cause mortality
0 / 2170 / 11
other
Total, other adverse events
0 / 2170 / 11
serious
Total, serious adverse events
0 / 2170 / 11

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Aug 8, 2026