Chronic pain and unhealthy drinking are common co-occurring conditions among patients presenting to primary care. Given their impact on functioning and medical outcomes, there would be considerable benefit to developing an accessible, easily utilized, integrative approach to reduce unhealthy alcohol use and pain that can be readily incorporated into the primary care setting. The objective of this study is to test a smartphone-based intervention for reducing unhealthy alcohol use and pain in primary care patients, determine the feasibility of implementing this intervention in the primary care setting, provide effect size estimates of the intervention on drinking and chronic pain outcomes.
Heavy alcohol use represents a significant risk for morbidity and mortality. Unfortunately, addressing unhealthy patterns of alcohol use in primary care is often a challenge as patients typically present 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 among primary care patients. Pain is a frequent source of distress and disability among primary care patients and is one of the most frequent causes for visits. Pain is also an important trigger for alcohol use among primary care 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. Primary care physicians face 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 among primary care patients 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 the primary care setting. The objectives of this study are to develop a smartphone-based intervention for reducing heavy alcohol use and pain in primary care patients, determine the feasibility of implementing this intervention in the primary care setting, provide effect size estimates of the intervention on outcomes, and develop procedures to conduct a Stage II efficacy trial.
Study Type
INTERVENTIONAL
Allocation
RANDOMIZED
Purpose
TREATMENT
Masking
SINGLE
Enrollment
49
Smartphone-based intervention that includes in-person initial session and 8 video lessons, daily activities, and weekly check-ins.
psychoeducation on pain and alcohol use and treatment resource information
Boston University Department of Psychological and Brain Sciences
Boston, Massachusetts, United States
Alcohol Time Line Followback (30)- Heavy Drinking Episode Days in the Past 30 Days
Number of heavy drinking episode days (i.e., days with consumption of 5+ drinks men/4+ drinks women)
Time frame: Past 30 days as assessed at the 16-week timepoint
Alcohol Time Line Followback (30)- Average Drinks Per Week in the Past 30 Days
Average number of standard alcohol-containing drinks per week over the past 30 days
Time frame: Past 30 days as assessed at the 16-week timepoint
The Pain, Enjoyment of Life, General Activity (PEG) Scale
Three items which assess chronic pain intensity and interference. Range of each item is 0-10. Mean rating of the three items indicate the PEG pain score. range of scale is 0-10. Higher scores reflect worse outcomes
Time frame: Past 7 days as assessed at the 16-week timepoint
Pain Intensity - Brief Pain Inventory (BPI) Items
Four items from the Brief Pain Inventory (BPI) comprise the pain severity subscale. Pain severity score reflects the mean item rating of these 4 items. Range 0-10. Higher scores reflect worse outcomes.
Time frame: past 7 days as assessed at the 16-week timepoint
Pain Interference
Seven items from the BPI are used to assess chronic pain interference. Each item is 0-10. The pain interference score is the mean of these seven items and ranges from 0-10. Higher scores reflect worse outcomes
Time frame: past 7 days as assessed at the 16-week timepoint
This platform is for informational purposes only and does not constitute medical advice. Always consult a qualified healthcare professional.