Alcohol Drinking
Conditions
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
Study design
Intervention model description
Parallel Cluster Randomized
Eligibility
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
| Measure | Time frame | Description |
|---|---|---|
| Implementation Effectiveness | 5-month intervention period and subsequent sustainability period | The proportion of eligible patients who enrolled in the alcohol text messaging intervention in the implementation intervention and the control condition. |
Secondary
| Measure | Time frame | Description |
|---|---|---|
| Implementation Feasibility Using the Feasibility of Intervention Measure (FIM) | 6-months post-intervention | Feasibility 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-intervention | Acceptability 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
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, Continuous | 39.34 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 type | EG000 affected / at risk | EG001 affected / at risk |
|---|---|---|
| deaths Total, all-cause mortality | 0 / 217 | 0 / 11 |
| other Total, other adverse events | 0 / 217 | 0 / 11 |
| serious Total, serious adverse events | 0 / 217 | 0 / 11 |