Efficacy and comparative effectiveness of telephone and smartphone remote continuing care interventions for alcohol use disorder: a randomized controlled trial.

BACKGROUND AND AIMS: Management of alcohol use disorder (AUD) could be enhanced by effective remote treatments. This study tested whether supplementing intensive outpatient programs (IOPs) with continuing care delivered via (1) telephone, (2) smartphone or (3) their combination improves outcomes relative to (4) IOP only. Continuing care conditions were also compared. DESIGN: Randomized controlled trial of four groups with 3-, 6-, 9-, 12- and 18-month follow-ups. SETTING: University research center in Philadelphia, PA, USA. PARTICIPANTS: Participants (n = 262) met DSM-V criteria for AUD, were largely male (71%) and African American (82%). INTERVENTIONS AND COMPARATOR: Telephone monitoring and counseling (TMC; n = 59), addiction comprehensive health enhancement support system (ACHESS; n = 68) and TMC + ACHESS (n = 70) provided for 12 months. The control condition received IOP only (TAU; n = 65). MEASUREMENT: The primary outcome was percentage of days heavy drinking (PDHD) in months 1-12. Secondary outcomes were any drinking, any drug use, drinking consequences and quality of life. FINDINGS: Mean PDHD in months 1-12 was 10.29 in TAU, 5.41 in TMC, 6.80 in ACHESS and 5.99 in TMC + ACHESS. PDHD was lower in TMC [Cohen's d = 0.35, P = 0.018, 95% confidence interval (CI) = (-1.42, -0.20)], ACHESS [d = 0.31, P = 0.031, 95% CI = (-1.27, -0.06)] and TMC + ACHESS [d = 0.36, P = 0.009, 95% CI = (-1.40, -0.20)] than in TAU. Differences between TMC + ACHESS, TMC and ACHESS were small (d ≤ 0.06) and non-significant. Findings were inconclusive as to whether or not the treatment conditions differed on PDHD at 18 months. A significant effect was obtained on any drinking, which was higher in months 1-12 in TAU than in TMC [odds ratio (OR) = 3.02, standard error (SE) = 0.43, 95% CI = (1.30, 6.99), P = 0.01] and TMC + ACHESS [OR = 2.43, SE = 0.39, 95% CI = (1.12, 5.27), P = 0.025). No other significant effects were obtained on other secondary outcomes during or after treatment. CONCLUSIONS: A telephone-delivered intervention and a smartphone-delivered intervention, alone and in combination, provided effective remote continuing care for alcohol use disorder. The combination of both interventions was not superior to either alone and effects did not persist post-treatment.

The predictive validity of the progress assessment, a clinician administered instrument for use in measurement-based care for substance use disorders.

We tested the predictive validity of the Progress Assessment (PA), a brief counselor administered tool for use in measurement-based care for substance use disorders. The PA includes 5 items assessing relapse risk and 5 items assessing factors protective against relapse. Data were drawn from a completed study of continuing care for cocaine dependence (McKay et al., 2013) and includes 12 months of follow-up on158 participants (76% male) who received brief telephone or face-to-face sessions. Each session began with the administration of the PA, followed by cognitive-behavioral counseling tied to the results of the PA and anticipated risky situations. Outcome was assessed via urine toxicology every 3 months. As administered in an effectiveness trial, average PA risk and protective scales within each 3-month segment of the study predicted urine toxicology results at the end of that period, with higher risk scores and lower protective scores predicting greater rates of cocaine positive urine drug screens. PA scores did not predict dropout from continuing care participation. The 10-item PA shows promise as a pragmatic clinical tool for ongoing monitoring during continuing care for substance dependence.

Challenges to Practicing HIV Sex-Risk Prevention Among People in Continuing Care for Cocaine Addiction.

BACKGROUND: Intimate partnerships are discouraged during early recovery, despite research that highlights their capacity to be resources for change. OBJECTIVE: This study seeks to provide descriptions of intimate partnerships and how such partnerships challenge and/or support minimizing HIV sex-risk among participants in continuing care for cocaine addiction in order to inform substance use programming. METHODS: Forty-two recorded continuing care counseling sessions of 33 people who discussed HIV sex-risk behavior were transcribed and analyzed using thematic analysis. This sample was derived from a larger randomized controlled trial that looked at the impact of a continuing care intervention for people with cocaine use problems. RESULTS: Although participants expressed the desire for a primary intimate partnership, casual intimate partnerships that often involved HIV sex-risk behavior were more prevalent. Challenges to having a primary intimate partner included the belief that intimate partnerships do not support recovery, difficulty in developing friendships with women among heterosexual men, and the ubiquity of drug use and sex work in home environments with limited economic opportunity. Despite these challenges, some participants reported having primary intimate partners that supported their recovery through open communication. CONCLUSION: Clinicians providing substance use interventions can consider encouraging components of intimate partnerships that support recovery. In addition, the strong environmental influence on individual HIV sex-risk behavior should be considered in delivering any substance use intervention.

Treatment choices and subsequent attendance by substance-dependent patients who disengage from intensive outpatient treatment.

In an effort to increase engagement in effective treatment, we offered a choice of alternate evidence-based treatments to 137 alcohol- or cocaine-dependent adults (110 males, 27 females) who entered an intensive outpatient program (IOP) but disengaged within the first 8 weeks. We hypothesized that disengaged patients would choose and subsequently attend alternatives to IOP when given the chance, that their choices would be consistent with their previously-stated preferences, and that demographic and clinical characteristics would be predictive of alternatives chosen. Of 96 participants reached by phone, 19% chose no treatment; 49% chose to return to IOP; 24% chose individual psychotherapy; 6% chose telephone counseling; 2% chose naltrexone with medication management. There were few relationships between participant characteristics and choices made upon disengagement. Participants who chose alternative treatments were equally likely to attend their chosen treatment as those who chose IOP. Limited interest in alternative treatments may reflect allegiance to IOP, which was initially chosen by all participants. Implications for implementation of patient-centered adaptive treatment are discussed.

Voucher incentives increase treatment participation in telephone-based continuing care for cocaine dependence.

BACKGROUND: Telephone-based monitoring is a promising approach to continuing care of substance use disorders, but patients often do not engage or participate enough to benefit. Voucher incentives can increase retention in outpatient treatment and continuing care, but may be less effective when reinforcement is delayed, as in telephone-based care. We compared treatment utilization rates among cocaine-dependent patients enrolled in telephone continuing care with and without voucher incentives to determine whether incentives increase participation in telephone-based care. METHOD: Participants were 195 cocaine-dependent patients who completed two weeks of community-based intensive outpatient treatment for substance use disorders and were randomly assigned to receive telephone continuing care with or without voucher incentives for participation as part of a larger clinical trial. The 12-month intervention included 2 in-person orientation sessions followed by up to 30 telephone sessions. Incentivized patients could receive up to $400 worth of gift cards. RESULTS: Patients who received incentives were not more likely to complete their initial orientation to continuing care. Incentivized patients who completed orientation completed 67% of possible continuing care sessions, as compared to 39% among non-incentivized patients who completed orientation. Among all patients randomized to receive incentives, the average number of completed sessions was 15.5, versus 7.2 for patients who did not receive incentives, and average voucher earnings were $200. CONCLUSIONS: Voucher incentives can have a large effect on telephone continuing care participation, even when reinforcement is delayed. Further research will determine whether increased participation leads to better outcome among patients who received incentives.