mHealth to Enhance & Sustain Drug Use Reduction of the QUIT BI in Primary Care
NCT ID: NCT04935606
Last Updated: 2026-01-13
Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
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ACTIVE_NOT_RECRUITING
NA
458 participants
INTERVENTIONAL
2021-06-01
2026-03-31
Brief Summary
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Detailed Description
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QUIT is a four-pronged program: 1) patient screener at reception via tablet-device; 2) brief clinician advice (\<5-minute); 3) video doctor reinforcing clinician advice; and 4) two telephone health coaching calls at 2- \& 6-weeks. Mobile phone \"apps,\" text-messaging (SMS), and interactive voice response (IVR) tools offer opportunities to enhance, sustain, and monitor effects of SBIs by facilitating patient activation and self-management between coaching sessions during daily routines, and sustaining changes after coaching ends.
QUIT-Mobile augments QUIT with 3 key functions: 1) patient self-monitoring of drug use and related factors (i.e., cravings, pain, physical and mental health symptoms/QoL) twice weekly by app, SMS, or IVR (per patient preference) and weekly from 6 wks to 12mo; 2) weekly automated feedback on goal progress for reducing drug use; and 3) dashboards for coach monitoring of patients\' self-monitoring data. These functions aim to: enhance coaching sessions by facilitating goal tracking, problem solving, and patient-coach engagement; and after coaching to sustain patient activation; and monitor patients to prompt coach follow-up if drug use increases.
Self-monitoring is a core element of self-regulation and self-management applied in a range of chronic conditions. SMS, IVR, and apps enable self-monitoring and automated feedback to be cheaply implemented and scaled. The theoretical bases underlying QUIT\'s cognitive behavioral and motivational interviewing strategies emphasize that self-monitoring and feedback are integral to self-regulation and self-management through self-observation, reflection, self-correction, and reinforcement via self-reward, critique, and feedback.
Effectiveness of QUIT-Mobile and QUIT over 12-months will be examined in a single-blind, 3- arm, RCT with low-income, adult, mainly ethnic minority FQHC PC patients with risky drug use (RDU - based on ASSIST score 4-26; ASAM level 0.5), randomized to 3 conditions (n=200/arm, 600 total): 1) QUIT-Mobile, 2) standard QUIT, and 3) Usual Care (UC). Primary outcomes are drug use reductions measured by self-reports of past 30 days drug use (due to sporadic use patterns of people with moderate/risky drug use) with urine screen validation measured at baseline, 3-, 6-, and 12-months. Subgroups will be compared on outcomes by demographics, drug type, intervention engagement, comorbidities, pain, and clinic-level factors. Secondary outcomes are health services utilization and quality of life. Formative Qualitative Research will be conducted with patients, coaches, FQHC staff (providers, administrators, executives), payers / insurers and policy stakeholders to identify barriers/facilitators to adoption, implementation and sustainability. The Consolidated Framework for Implementation Research (CFIR) will guide this work. Costs will also be monitored, and cost analyses will be conducted.
Study Outcomes:
Primary: Reductions in use of the highest scoring drug on the ASSIST at baseline (that was used in the past 30 days) across time at 3-, 6- and 12- months follow-up, as measured by number of days of drug use in the past 30 days.
Secondary: 1) Improvement of quality of life as measured by the SF-12 physical and mental health scores; 2) costs analyses of the interventions for reducing drug use, including use of health services utilization data from EHR reviews; 3) barriers and facilitators to intervention implementation from qualitative reports with providers and clinic stakeholder, patients, and payer and policy maker stakeholders; 4) drug use reductions measured by timeline follow back (TLFB) of past 30 days use.
Conditions
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Study Design
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RANDOMIZED
PARALLEL
PREVENTION
SINGLE
Study Groups
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Usual Care
Usual Care participants will receive their standard medical care as usual (no provider advice or telephone coaching sessions) and all screening and study assessments. To reduce biases, Usual Care arm patients will be given a cancer screening booklet and will be shown a cancer screening Video Doctor. They will also receive 2 re-contact telephone sessions at weeks 2 and 6 corresponding to the timing of the coaching sessions for the QUIT and QUIT-Mobile arms. All participants will also receive re-contact calls monthly from 7-weeks to 12-months. The re-contact calls (5 min) provide attention control for the Usual Care arm, motivate continued trial participation by reminding them of the next research assessment, but do not provide an active intervention. At study end, the Usual Care arm will receive the QUIT video doctor and drug use reduction booklet brochure materials including overdose prevention materials and a list of clinic/community resources to help them reduce substance use.
Usual Care
Usual Care participants will receive their standard medical care as usual and all study assessments. Providers will not receive information about their drug use. To reduce Hawthorne effect biases and to mask the study's purpose, RAs will provide the Usual Care arm patients with a cancer screening booklet and have them view a cancer screening Video Doctor. Participants will receive re-contact calls (5 min) to provide attentional control for the Usual Care arm, motivate continued trial participation by reminding next research assessment and study incentives, update contact information, and address participation barriers, but do not provide intervention. At study end, Usual Care will receive the QUIT video doctor and drug use reduction booklet materials including overdose prevention materials and a list of clinic/community resources to help them reduce substance use.
QUIT
The QUIT brief intervention protocol will consist of 5 steps corresponding to the 5A's approach for assisting behavior change in the clinic setting (Ask, Advise, Assess, Assist, and Arrange) that will focus on patients' HSD (highest scoring drug on the baseline ASSIST) use in the past 30 days.
QUIT Intervention (doctor brief advice, video doctor, health coaching sessions at 2- and 6-weeks)
QUIT's core components include:
1. patient screening with the WHO Alcohol Smoking and Substance Involvement Screening Test (ASSIST, score 4-26);
2. face-to-face brief clinician advice on reducing drug use (2-3 minutes);
3. video doctor reinforcing the clinician message;
4. drug use reduction brochure;
5. 2- and 6-week telephone health coaching sessions to enhance self-efficacy in reducing drug use, via motivational interviewing and cognitive behavior therapy (CBT) techniques (20-30 minutes).
QUIT-Mobile
QUIT-Mobile will include a mobile platform with self-monitoring surveys and feedback message and robust data transfer protocols across three mobile technology platforms to meet diverse patient's preferences and needs regardless of literacy and phone type: a mobile-optimized web-app (using any smart phone's web-browser, not "native" apps), SMS (text-messaging), and IVR (automated voice calls for low literacy patients). Data collected during this study on patient platform preferences and exploratory analyses on intervention efficacy across platform types will inform the development of future effectiveness trials that can evaluate effectiveness of different mobile platforms.
QUIT-Mobile (QUIT Intervention plus weekly mobile-web app or text message weekly self-monitoring, automated feedback over 12 months)
The QUIT-Mobile intervention includes QUIT's core components and adds:
1. SMS/IVR/mobile-app self-monitoring survey prompts twice-weekly during the QUIT coaching through 6 weeks, and then weekly self-monitoring and automated feedback via SMS/IVR/app through 12-months.
2. Web-based dashboards will be used by coaches for monitoring of patients' self-monitoring data to enhance 2- and 6-week coaching sessions and for monitoring during the post-coaching self-management and monitoring period from 7-weeks to 12-months and intervening accordingly. The mobile platform will provide the same intervention functions (self-monitoring surveys and feedback messages) and robust data transfer protocols across three mobile technology platforms.
Interventions
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Usual Care
Usual Care participants will receive their standard medical care as usual and all study assessments. Providers will not receive information about their drug use. To reduce Hawthorne effect biases and to mask the study's purpose, RAs will provide the Usual Care arm patients with a cancer screening booklet and have them view a cancer screening Video Doctor. Participants will receive re-contact calls (5 min) to provide attentional control for the Usual Care arm, motivate continued trial participation by reminding next research assessment and study incentives, update contact information, and address participation barriers, but do not provide intervention. At study end, Usual Care will receive the QUIT video doctor and drug use reduction booklet materials including overdose prevention materials and a list of clinic/community resources to help them reduce substance use.
QUIT Intervention (doctor brief advice, video doctor, health coaching sessions at 2- and 6-weeks)
QUIT's core components include:
1. patient screening with the WHO Alcohol Smoking and Substance Involvement Screening Test (ASSIST, score 4-26);
2. face-to-face brief clinician advice on reducing drug use (2-3 minutes);
3. video doctor reinforcing the clinician message;
4. drug use reduction brochure;
5. 2- and 6-week telephone health coaching sessions to enhance self-efficacy in reducing drug use, via motivational interviewing and cognitive behavior therapy (CBT) techniques (20-30 minutes).
QUIT-Mobile (QUIT Intervention plus weekly mobile-web app or text message weekly self-monitoring, automated feedback over 12 months)
The QUIT-Mobile intervention includes QUIT's core components and adds:
1. SMS/IVR/mobile-app self-monitoring survey prompts twice-weekly during the QUIT coaching through 6 weeks, and then weekly self-monitoring and automated feedback via SMS/IVR/app through 12-months.
2. Web-based dashboards will be used by coaches for monitoring of patients' self-monitoring data to enhance 2- and 6-week coaching sessions and for monitoring during the post-coaching self-management and monitoring period from 7-weeks to 12-months and intervening accordingly. The mobile platform will provide the same intervention functions (self-monitoring surveys and feedback messages) and robust data transfer protocols across three mobile technology platforms.
Eligibility Criteria
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Inclusion Criteria
* Have a phone number at which they can be contacted over time during the study (to conduct follow-up health education phone calls).
* Have a primary care visit with a regular clinic provider on the date of recruitment and enrollment.
* English or Spanish-speaking.
* ASSIST score between 4 and 26 indicating risky (moderate) drug use, and used the substance in the past 30 days.
* Able (not cognitively impaired) and willing to cooperate with data collection and research procedures, including and 2-week, 6-week, and 3, 6, 12-month follow-up assessments.
* Planning to be in the Los Angeles area for the next 12 months so they can complete the study period.
Exclusion Criteria
* Repeaters: All patients will be asked a set of repeater questions. This includes a question on whether they have ever been involved in our UCLA study at the clinic before. We will create a unique identifier based on a set of questions that we have used in our prior studies that combines aspects about the potential subject (mother's first name, father's first name, month and day of birth) that will screen them out if they screen again in the future.
* ASSIST Score above 26 indicating high use and potential serious SUD needing referral to specialty treatment: The RA will receive a message that the subject scored 27+ on alcohol or any drugs on the WHO ASSIST (i.e. indication of possible severe substance use disorder). The RA will inform the patient that they are at risk for certain health behaviors and ask the patient if they want to disclose this information to their doctor. If they agree to disclose information to their doctor then we will fill out a letter informing the doctor of patient's potential more serious substance use disorder. We will also provide the patient with a list of local substance use disorder treatment referrals.
* ASSIST Score below 4 (low use): These patients are not eligible for enrollment in the trial.
* Subject Enrolled in a Substance Use Treatment Program: Subjects enrolled in a treatment program are excluded from the study.
18 Years
ALL
Yes
Sponsors
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National Institute on Drug Abuse (NIDA)
NIH
University of Arkansas
OTHER
Medical University of South Carolina
OTHER
University of California, Los Angeles
OTHER
Responsible Party
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Dallas Swendeman
Professor
Principal Investigators
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Lillian Gelberg, MD, MSPH
Role: PRINCIPAL_INVESTIGATOR
University of California, Los Angeles
Dallas Swendeman, PhD, MPH
Role: PRINCIPAL_INVESTIGATOR
University of California, Los Angeles
Locations
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The Children's Clinic (TCC) Family Health
Long Beach, California, United States
South Central Family Health Clinic
Los Angeles, California, United States
Wesley Health Centers
Los Angeles, California, United States
Saban Community Clinic
Los Angeles, California, United States
UMMA Community Clinic
Los Angeles, California, United States
Countries
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References
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Swendeman D, Sumstine S, Aguilar E, Gorbach PM, Comulada WS, Gelberg L. Feasibility and Acceptability of Mobile Phone Self-monitoring and Automated Feedback to Enhance Telephone Coaching for People With Risky Substance Use: The QUIT-Mobile Pilot Study. J Addict Med. 2021 Apr 1;15(2):120-129. doi: 10.1097/ADM.0000000000000707.
Gelberg L, Andersen RM, Afifi AA, Leake BD, Arangua L, Vahidi M, Singleton K, Yacenda-Murphy J, Shoptaw S, Fleming MF, Baumeister SE. Project QUIT (Quit Using Drugs Intervention Trial): a randomized controlled trial of a primary care-based multi-component brief intervention to reduce risky drug use. Addiction. 2015 Nov;110(11):1777-90. doi: 10.1111/add.12993.
Singleton KW, Lan M, Arnold C, Vahidi M, Arangua L, Gelberg L, Bui AA. Wireless data collection of self-administered surveys using tablet computers. AMIA Annu Symp Proc. 2011;2011:1261-9. Epub 2011 Oct 22.
Baumeister SE, Gelberg L, Leake BD, Yacenda-Murphy J, Vahidi M, Andersen RM. Effect of a primary care based brief intervention trial among risky drug users on health-related quality of life. Drug Alcohol Depend. 2014 Sep 1;142:254-61. doi: 10.1016/j.drugalcdep.2014.06.034. Epub 2014 Jul 4.
Bone C, Gelberg L, Vahidi M, Leake B, Yacenda-Murphy J, Andersen RM. Under-reporting of Risky Drug Use Among Primary Care Patients in Federally Qualified Health Centers. J Addict Med. 2016 Nov/Dec;10(6):387-394. doi: 10.1097/ADM.0000000000000246.
Reddy AT, Andersen RM, Gelberg L. Clinicians' Beliefs and Practices Regarding Drug Use Care of Their Community Health Center Patients. J Addict Med. 2015 Nov-Dec;9(6):447-53. doi: 10.1097/ADM.0000000000000158.
Padwa H, Ni YM, Barth-Rogers Y, Arangua L, Andersen R, Gelberg L. Barriers to drug use behavior change among primary care patients in urban United States community health centers. Subst Use Misuse. 2014 May;49(6):743-51. doi: 10.3109/10826084.2013.866962. Epub 2013 Dec 20.
Bone CW, Goodfellow AM, Vahidi M, Gelberg L. Prevalence of Sexual Violence and its Association with Depression among Male and Female Patients with Risky Drug Use in Urban Federally Qualified Health Centers. J Urban Health. 2018 Feb;95(1):111-115. doi: 10.1007/s11524-017-0213-7.
Gelberg L, Andersen RM, Rico MW, Vahidi M, Natera Rey G, Shoptaw S, Leake BD, Serota M, Singleton K, Baumeister SE. A pilot replication of QUIT, a randomized controlled trial of a brief intervention for reducing risky drug use, among Latino primary care patients. Drug Alcohol Depend. 2017 Oct 1;179:433-440. doi: 10.1016/j.drugalcdep.2017.04.022. Epub 2017 Jun 13.
Gelberg L, Natera Rey G, Andersen RM, Arroyo M, Bojorquez-Chapela I, Rico MW, Vahidi M, Yacenda-Murphy J, Arangua L, Serota M. Prevalence of Substance Use Among Patients of Community Health Centers in East Los Angeles and Tijuana. Subst Use Misuse. 2017 Feb 23;52(3):359-372. doi: 10.1080/10826084.2016.1227848. Epub 2016 Dec 21.
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