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Completed

NCT Number: NCT04317989

STUN (STop UNhealthy) Alcohol Use Now! Implementing Evidence-Based Services for Unhealthy Alcohol Use in Primary Care

STUN Alcohol Use Now is an intervention designed to use primary care practice support services (practice facilitation) to help small to medium-size practices (10 or fewer providers) identify and provide services for people with unhealthy alcohol use. The original recruitment goal was 135 primary care practices in North Carolina, which we were unable to meet due to pandemic-related barriers.

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Key information

Conditions

Risky Health Behavior Alcohol Drinking Alcohol Use Disorder Alcohol-Related Disorders Alcoholism Behavior Binge Drinking Chemically-Induced Disorders Drinking Behavior Drinking Excessive Drinking, Alcohol Drinking, Binge Health Behavior Health Risk Behaviors Mental Disorders Substance-Related Disorders

Age range

18 year and older

Sex eligibility

All sexes

Study type

Interventional

Phase

Not applicable

Primary location

Mountain AHEC, Asheville, North Carolina, United States

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About this study

STUN Alcohol Use Now is an intervention designed to use primary care practice support services (practice facilitation or PF) to help small to medium-size practices (10 or fewer providers) identify and provide services for people with unhealthy alcohol use. 135 primary care practices in North Carolina will be recruited.

Specific Aim 1 will evaluate the effect of PF on uptake of evidence-based screening and brief intervention (SBI) for unhealthy alcohol use. The investigators hypothesize that PF will increase screening for unhealthy alcohol use and provision of brief counseling. The secondary hypothesis is that practice-level and contextual factors (capacity for quality improvement, organizational readiness to implement change, and implementation climate) will moderate the effect of PF on use of evidence-based screening and brief intervention (SBI) for unhealthy alcohol use.

Specific Aim 2 will evaluate whether PF increases provision, among those identified as having an alcohol use disorder (AUD), provision of medication assisted treatment (MAT) or referral to specialty care.

Aim 3 (effect of providing embedded telehealth services) will not be evaluated due to lower enrollment than anticipated and delayed data collection (both related to the COVID-19 pandemic) which have prevented randomization among practices with slower uptake of SBI after 6 months of PF.

In Aim 4 the investigators will evaluate the effect of PF on the implementation of clinical practice and office systems changes to improve evidence-based SBI and MAT. The primary hypothesis is that PF will increase implementation of clinical practice and office systems changes to improve evidence-based SBI and MAT. The secondary hypotheses are that (a) practice capacity for quality improvement (QI), organizational readiness to implement change, and contextual factors will moderate the effect of PF on the implementation of clinical practice and office systems changes and (b) embedded telehealth services will increase implementation of clinical practice and office systems changes among practices with slower uptake.

Who can participate

Healthy volunteers accepted: Yes

Only the study team can determine whether someone qualifies for participation.

Inclusion criteria

  • Small-to-medium sized primary care practices (10 or fewer providers) in North Carolina

Exclusion criteria

  • Practices with fewer than 100 adult patients (18+ years) or more than 10 providers;
  • practices unwilling to implement evidence-based screening and management of patients with unhealthy alcohol use.

Treatment and study plan

Practice Facilitation

Other
  • Implementing evidence-based protocols and the use of clinical algorithms (for screening, counseling, referral, and MAT) to engage the entire clinical team in a high standard delivery of care.
  • Promoting a strong use of decision support tools and templates to support the practice workflow.
  • Optimizing the use of the electronic health record (EHR) to pull clinical data on a monthly basis to guide the change process.
  • Developing patient registries (e.g., for those identified to have AUD) to identify needed care
  • Proactive, team-based care with assigned roles and responsibilities to prepare the clinical team to develop needed care and engage patients throughout the entire visit process.
  • Enhancing the understanding of available counseling and referral resources to ensure that practices are confident that they have appropriate evidence-based intervention options.

Primary outcomes

  1. Number of adults screened for unhealthy alcohol use

    Time frame: 18 months

    number aged 18 or older who were screened with a validated tool for unhealthy alcohol use

  2. Number of adults screened for unhealthy alcohol use

    Time frame: 12 months

    number aged 18 or older who were screened with a validated tool for unhealthy alcohol use

  3. Number of adults screened for unhealthy alcohol use

    Time frame: 6 months

    number aged 18 or older who were screened with a validated tool for unhealthy alcohol use

  4. Percent of adults screened for unhealthy alcohol use

    Time frame: 18 months

    percent of those aged 18 or older who were screened with a validated tool for unhealthy alcohol use

  5. Percent of adults screened for unhealthy alcohol use

    Time frame: 12 months

    percent of those aged 18 or older who were screened with a validated tool for unhealthy alcohol use

  6. Percent of adults screened for unhealthy alcohol use

    Time frame: 6 months

    percent of those aged 18 or older who were screened with a validated tool for unhealthy alcohol use

Secondary outcomes

  1. Number of adults with a positive screen for unhealthy alcohol use

    Time frame: 18 months

    Of those aged 18 or older who were screened for unhealthy alcohol use, number who had a positive initial screening result

  2. Number of adults with a positive screen for unhealthy alcohol use

    Time frame: 12 months

    Of those aged 18 or older who were screened for unhealthy alcohol use, number who had a positive initial screening result

  3. Number of adults with a positive screen for unhealthy alcohol use

    Time frame: 6 months

    Of those aged 18 or older who were screened for unhealthy alcohol use, number who had a positive initial screening result

  4. Percent of adults with a positive screen for unhealthy alcohol use

    Time frame: 18 months

    Of those aged 18 or older who were screened for unhealthy alcohol use, percentage who had a positive initial screening result

  5. Percent of adults with a positive screen for unhealthy alcohol use

    Time frame: 12 months

    Of those aged 18 or older who were screened for unhealthy alcohol use, percentage who had a positive initial screening result

  6. Percent of adults with a positive screen for unhealthy alcohol use

    Time frame: 6 months

    Of those aged 18 or older who were screened for unhealthy alcohol use, percentage who had a positive initial screening result

  7. Number of adults provided with brief counseling for risky drinking

    Time frame: 18 months

    Of those aged 18 or older who were identified as having unhealthy alcohol use, number who received brief counseling (based on documentation in the medical record)

  8. Number of adults provided with brief counseling for risky drinking

    Time frame: 12 months

    Of those aged 18 or older who were identified as having unhealthy alcohol use, number who received brief counseling (based on documentation in the medical record)

  9. Number of adults provided with brief counseling for risky drinking

    Time frame: 6 months

    Of those aged 18 or older who were identified as having unhealthy alcohol use, number who received brief counseling (based on documentation in the medical record)

  10. Percent of adults provided with brief counseling for risky drinking

    Time frame: 18 months

    Of those aged 18 or older who were identified as having unhealthy alcohol use, percentage who received brief counseling (based on documentation in the medical record)

  11. Percent of adults provided with brief counseling for risky drinking

    Time frame: 12 months

    Of those aged 18 or older who were identified as having unhealthy alcohol use, percentage who received brief counseling (based on documentation in the medical record)

  12. Percent of adults provided with brief counseling for risky drinking

    Time frame: 6 months

    Of those aged 18 or older who were identified as having unhealthy alcohol use, percentage who received brief counseling (based on documentation in the medical record)

  13. Number of adults identified as having alcohol use disorder (AUD)

    Time frame: 18 months

    After screening, number of adult patients identified to have AUD (based on documented ICD diagnoses of AUD)

  14. Number of adults identified as having alcohol use disorder (AUD)

    Time frame: 12 months

    After screening, number of adult patients identified to have AUD (based on documented ICD diagnoses of AUD)

  15. Number of adults identified as having alcohol use disorder (AUD)

    Time frame: 6 months

    After screening, number of adult patients identified to have AUD (based on documented ICD diagnoses of AUD)

  16. Percent of adults identified as having alcohol use disorder (AUD)

    Time frame: 18 months

    After screening, percentage of adult patients screened who were identified to have AUD (based on documented ICD diagnoses of AUD)

  17. Percent of adults identified as having alcohol use disorder (AUD)

    Time frame: 12 months

    After screening, percentage of adult patients screened who were identified to have AUD (based on documented ICD diagnoses of AUD)

  18. Percent of adults identified as having alcohol use disorder (AUD)

    Time frame: 6 months

    After screening, percentage of adult patients screened who were identified to have AUD (based on documented ICD diagnoses of AUD)

  19. Number of adults prescribed pharmacotherapy for AUD

    Time frame: 18 months

    After screening, number of adult patients with AUD who receive evidence-based pharmacotherapy with naltrexone, acamprosate, disulfiram, or topiramate

  20. Number of adults prescribed pharmacotherapy for AUD

    Time frame: 12 months

    After screening, number of adult patients with AUD who receive evidence-based pharmacotherapy with naltrexone, acamprosate, disulfiram, or topiramate

  21. Number of adults prescribed pharmacotherapy for AUD

    Time frame: 6 months

    After screening, number of adult patients with AUD who receive evidence-based pharmacotherapy with naltrexone, acamprosate, disulfiram, or topiramate

  22. Percent of adults with AUD who were prescribed pharmacotherapy for AUD

    Time frame: 18 months

    After screening, percent of adult patients identified as having AUD who receive evidence-based pharmacotherapy with naltrexone, acamprosate, disulfiram, or topiramate

  23. Percent of adults with AUD who were prescribed pharmacotherapy for AUD

    Time frame: 12 months

    After screening, percent of adult patients identified as having AUD who receive evidence-based pharmacotherapy with naltrexone, acamprosate, disulfiram, or topiramate

  24. Percent of adults with AUD who were prescribed pharmacotherapy for AUD

    Time frame: 6 months

    After screening, percent of adult patients identified as having AUD who receive evidence-based pharmacotherapy with naltrexone, acamprosate, disulfiram, or topiramate

  25. Number of adults with AUD referred to specialty care for AUD

    Time frame: 18 months

    After screening, number of adult patients identified as having AUD who are referred to specialty care (e.g., psychiatry, CBT, motivational enhancement therapy, 12-step programs)

  26. Number of adults with AUD referred to specialty care for AUD

    Time frame: 12 months

    After screening, number of adult patients identified as having AUD who are referred to specialty care (e.g., psychiatry, CBT, motivational enhancement therapy, 12-step programs)

  27. Number of adults with AUD referred to specialty care for AUD

    Time frame: 6 months

    After screening, number of adult patients identified as having AUD who are referred to specialty care (e.g., psychiatry, CBT, motivational enhancement therapy, 12-step programs)

  28. Percent of adults with AUD referred to specialty care for AUD

    Time frame: 18 months

    After screening, percentage of adults identified as having AUD who are referred to specialty care (e.g., psychiatry, CBT, motivational enhancement therapy, 12-step programs)

  29. Percent of adults with AUD referred to specialty care for AUD

    Time frame: 12 months

    After screening, percentage of adults identified as having AUD who are referred to specialty care (e.g., psychiatry, CBT, motivational enhancement therapy, 12-step programs)

  30. Percent of adults with AUD referred to specialty care for AUD

    Time frame: 6 months

    After screening, percentage of adults identified as having AUD who are referred to specialty care (e.g., psychiatry, CBT, motivational enhancement therapy, 12-step programs)

Sponsors and collaborators

Lead sponsor

University of North Carolina, Chapel Hill

Other

Collaborators

  • Agency for Healthcare Research and Quality (AHRQ)

Registry information

Official study title

The STUN (STop UNhealthy) Alcohol Use Now! Project: Using Practice Facilitation to Disseminate and Implement Patient-Centered Outcomes Research (PCOR) Evidence on Screening and Management of Unhealthy Alcohol Use in Primary Care

Acronym: STUN

Important dates

Study start
2020
Primary completion
2023
Study completion
2023
First posted
Mar 23, 2020
Registry last updated
Jun 17, 2025

OpenTrials presents study information sourced from ClinicalTrials.gov. The official registry record should be consulted for the latest information.

View the official ClinicalTrials.gov record (opens in a new tab)

This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.

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