Chronic pain and heavy drinking are common co-occurring conditions among patients presenting to primary care settings. Given their impact on functioning and medical outcomes, there would be considerable benefit to developing an accessible, easily utilized, integrative approach to reduce alcohol use and pain that can be readily incorporated into the health care settings. The objective of this study is to test a modified version of a smartphone-based intervention for reducing pain and alcohol use among individuals experiencing chronic pain who engage in heavy drinking. The primary goal is to test the feasibility and acceptability of implementing this intervention in a sample that includes participants from rural areas and providing initial data on the utility of the intervention.
Heavy alcohol use represents a significant risk for morbidity and mortality. Unfortunately, addressing unhealthy patterns of alcohol use is often a challenge as patients typically present to health care settings with co-morbid conditions that: (1) may make unhealthy drinking a lower priority health issue and (2) may impact the capacity for sustained alcohol-related change. Chronic pain is among the most common of these conditions. Pain is a frequent source of distress and disability and is one of the most frequent causes for health care visits. Pain is also an important trigger for alcohol use among patients who drink and is associated with the experience of negative alcohol-related consequences and unhealthy drinking over time. The experience of pain has also been shown to be associated with poorer responses to alcohol interventions. There are a number of challenges when attempting to treat co-occurring unhealthy drinking and pain among their patients. Pain management and reduction of alcohol use among those who engage in heavy alcohol use is often not adequately achieved with pharmacological treatments nor are pharmacological treatments indicated for common pain conditions. Moreover, despite the availability of evidence-based psychosocial interventions for unhealthy drinking and chronic pain, patients with each of these conditions typically show poor adherence to treatment. Given the rates of pain and unhealthy alcohol use and their impact on functioning and medical outcomes, there would be considerable benefit to an accessible, easily utilized, integrative approach to treat heavy alcohol use and pain that can be readily incorporated into health care settings. The objectives of this study are to test the acceptability and feasibility of a smartphone-based intervention for reducing pain and alcohol use among individuals who experience chronic pain and heavy drinking. In addition, the study will provide a preliminary effect size estimates of the intervention on outcomes.
Study Type
INTERVENTIONAL
Allocation
RANDOMIZED
Purpose
TREATMENT
Masking
SINGLE
Enrollment
32
Participants meet with an interventionist who explains the rationale for the mobile app. They complete video and survey-based intervention content each week for 8 weeks. App-based sessions are supplemented with brief chat-based coaching weekly.
Boston University
Boston, Massachusetts, United States
Pain (average weekly), Enjoyment of Life, General Activity (PEG) Scale
Three items with 0-10 scales to assess chronic pain based on the dimensions of pain severity, impact on enjoyment in life, and interference with activity. Range 0-30. Higher scores reflect worse outcomes
Time frame: 7-days
Time Line Follow-Back-30 Day Weekly Drinking
Average number of drinks per week over the past 30 days. Higher scores reflect worse outcomes.
Time frame: past 30 days
Time Line Follow-Back 30-Day Heavy Episodic Drinking
number of heavy drinking episodes (for men 5 or more on single occasion for women 4+) over tha past 30 days. Higher values reflect worse outcomes
Time frame: past 30 days
Perceptions of Treatment Questionnaire
Ratings of intervention satisfaction using Likert-scale items 0 "not at all" to 8 "very much" to assess degree of perceived help with pain and alcohol use, perceived helpfulness of intervention components. Higher scores reflect better outcomes
Time frame: Current perception of intervention assessed 12 weeks following baseline (4 weeks following intervention completion)
Systems Usability Scale
Three item Likert scale (scored 1 "strongly disagree' to 5 "strongly agree') to assess ease, speed of learning, confidence using the mobile app. Higher scores reflect better outcomes
Time frame: Current perception of intervention assessed 12 weeks following baseline (4 weeks following intervention completion)
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