Abstract
This clinical trial evaluated a modified therapeutic community aftercare (MTC-A) program for a population triply diagnosed with HIV/AIDS, a substance use disorder, and a mental disorder. After six months of MTC residential treatment (MTC-R), subjects were randomly assigned to MTC-A (n = 42) or to standard aftercare (C; n = 34). Follow-up interviews at six and 12 months assessed eight outcome domains and adherence to prescribed HIV medication. A propensity model was used to re-balance the retrieved sample. At the six-month follow-up, High stratum MTC-A clients (those with greater psychological functioning and stable physical health at baseline) had greater improvement overall and for substance use and mental health than C clients in the same stratum. In contrast, C clients in the Low/Medium stratum (those with poorer psychological functioning and improved physical health) had more favorable outcomes overall and for substance use than their MTC-A counterparts; however, this stratum was not re-balanced effectively. Differences in HIV medication adherence were not detected. Clients with greater psychological functioning and stable health at treatment entry benefit more from the MTC-A program. In view of the potentially progressive nature of HIV, measuring physical and mental health during treatment and controlling for changes could be important in future research.
Keywords: HIV, AIDS, co-occurring disorders, modified therapeutic community, aftercare, triply diagnosed population, clinical trial
Background/introduction
Among adults with HIV, large-scale studies have reported the prevalence of co-occurring mental health and substance abuse disorders to be between 13% (Galvan, Burnam, & Bing, 2003) and 28% (Dausey & Desai, 2003). Among male intravenous drug users, those with an HIV infection had a higher prevalence of depressive disorders (33%) than those without (20%) (Johnson, Rabkin, Lipsitz, Williams, & Remien, 1999; Rabkin et al., 1997). Similarly, among those with schizophrenia, substance use disorders have been more prevalent (Walkup, Crystal, & Sambamoorthi, 1999).
Psychological symptoms are detrimental to substance abuse treatment retention and outcomes (Drake & Mueser, 2000; McLellan, Woody, Luborsky, O’Brien, & Druley, 1983; Rounsaville, Tierney, Crits-Cristoph, Weissman, & Kleber, 1982), evident in higher rates of HIV infection, drug relapse, rehospitalization, and depression (Drake et al., 1998; US Department of Health and Human Services [DHHS], 1999). The interaction of psychological problems with substance misuse has increased sexual and injection HIV-risk behaviors (e.g., Dausey & Desai, 2003), while other researchers have reported an association between co-occurring disorders and adherence to antiviral therapy (Chander, Himelhoch, & Moore, 2006). Given the associations among HIV-risk behaviors, psychological dysfunction and substance use disorders, the advantages of integrating prevention and treatment services for HIV/AIDS, mental health, and substance abuse are clear.
The therapeutic community (TC) model, modified for male offenders with co-occurring disorders, has been described (Sacks, Sacks, & Stommel, 2003), and has produced significant treatment effects for reincarceration (Sacks, Sacks, McKendrick, Banks, & Stommel, 2004), criminal activity, and substance use (Sullivan, McKendrick, Sacks, & Banks, 2007). Research has shown that modified therapeutic community aftercare (MTC-A) treatment maintained and stabilized some of the gains achieved during MTC residential (MTC-R) treatment, while other improvements were incremental and continuous throughout both programs (e.g., Sacks, De Leon, McKendrick, Brown, & Sacks, 2003), although the potential for selection bias into aftercare has not been eliminated.
Recent advances in treatment have extended the survival of those with HIV/AIDS, creating a corresponding increase in the demand for mental health and substance abuse services. A considerable body of work documents and evaluates residential and aftercare programs for clients with co-occurring disorders (Sacks, Chandler, & Gonzales, 2008), but little is known about programs adapted for those who also have HIV/AIDS. This paper describes a randomized clinical trial of MTC-A following MTC-R treatment for a population with HIV/AIDS as well as co-occurring substance use and mental disorders.
Methods
Research design
Men and women who completed the MTC-residential (MTC-R) program, “People With Hope,” were randomly assigned either to the experimental (E) condition, MTC-A, or to the control (C) condition, standard aftercare services. Everyone who entered the MTC-R program met study eligibility criteria for HIV/AIDS (Centers for Disease Control and Prevention [CDC], 1993) and co-occurring disorders (DSM-IV diagnostic criteria using the Structured Clinical Interview; American Psychiatric Association, 1994; First, Gibbon, Spitzer, Williams, & Benjamin, 1997; First, Spitzer, Gibbon, & Williams, 2002). Earlier work (Sacks, De Leon, Bernhardt, & Sacks, 1998; Sacks, Sacks, De Leon, Bernhardt, & Staines, 1997) informed the alteration of TC elements for this triply diagnosed population. (A full description of the MTC-R program is available from the authors.) The research team generated random numbers to determine group membership. The designated treatment group was sealed in an envelope, and the envelopes were marked with a sequential identification number. On completing the informed consent procedure, the research interviewer gave each subject an identification number and the corresponding envelope was opened to reveal group assignment.
Subjects were evaluated on entering the MTC-R program (residential baseline), and on entering aftercare (aftercare baseline, “AB”); follow-up assessments were conducted at six and 12 months after AB. Aftercare treatment effects reported in this paper include 22 outcomes in eight domains: substance use, criminal activity, mental health, social functioning, physical health, employment, HIV risk behaviors, and residential stability. Adherence to HIV medication regimen was also assessed.
Treatment conditions
MTC aftercare treatment (MTC-A)–experimental (E) condition
The MTC-A group attended an integrated MTC-A program of outpatient activities delivered in the residential facility over a planned duration of six months. At the time of this study, Philadelphia’s treatment systems (substance abuse, mental health, health care) operated under discrete funding streams and did not integrate services; the MTC-A program was established to ensure treatment continuity for triply diagnosed individuals and to assist their transition to more independent functioning in the community. The MTC-A trained and facilitated client-level integration to bridge gaps in care coordination, and supplied tools to help clients adhere to and track vital treatment elements to bridge gaps in services. Clients were taught to use their understanding of TC philosophy to coordinate service components, and to promote communication among service providers; clients learned to integrate their own treatment. This client-level approach proved to be a viable means of integrating services rapidly and effectively for this population, and was consonant with the TC, which uses the peer recovery community to support clients’ efforts to take responsibility for their own lives. Table 1 provides a synopsis of program elements and interventions of the MTC-A experimental (E) condition.
Table 1.
MTC aftercare (MTC-A) interventions.
| Health and self-management group |
|
| Peer group |
|
| Self-help group |
|
| Individual case assistance |
|
| Family support group |
|
Standard aftercare – control (C) condition
Standard aftercare services (the C condition) consisted of substance abuse counseling at an outpatient substance abuse treatment program, mental health counseling at an outpatient mental health treatment program, continuing medical treatment at a community medical/HIV clinic, and vocational/educational counseling services, if needed (MTC-A clients received these same services). Community-based treatment and advocacy agencies provided a case manager for each HIV+ client, which meant that clients had multiple case managers, each reporting to a different agency and each responsible for discrete aspects of care. On discharge from the MTC-R program, clients were given an aftercare plan that included referrals and scheduled appointments for needed services (substance use and mental health counseling, medical treatment, educational and vocational services). One month after discharge, a staff counselor from the MTC-R program scheduled a visit to review clients’ housing, household management, and ability to schedule and access medical and clinical services, providing limited help to clients in coordinating their various aftercare providers.
Sample
Of the 135 clients who entered the MTC-R program, 76 completed the residential treatment program and were randomized into aftercare treatment. Between 5 April 2000 and 25 August 2003, 42 (55%) subjects were assigned to the MTC-A program (E) and 34 (45%) to the C condition. To establish the treatment group, randomization into the E condition was initially three to one, which resulted in the inequality between groups. Follow-up retrieval was 76% (58 subjects) at six months, and 72% (55 subjects) at 12 months; 88% (45/55 subjects) were retrieved at both points. Retrieval rates for the two treatment conditions were similar at six months (74% E and 79% C), but at 12 months, considerably more E (81%) than C (62%) subjects were retrieved. Three E subjects died during the study before follow-up data could be gathered.
Few differences between retrieved subjects and those lost to attrition were apparent at the six-month follow-up. Retrieved subjects were older (41 years vs. 36 years), more likely to be female (45% vs. 11%), and less likely to report living in a homeless shelter in the three months prior to the residential baseline interview (4% vs. 22%).
Instrumentation/measures
Face-to-face interviews collected self-reported information on measures from seven standard instruments; the Addiction Severity Index-Lite (ASI-L) (Cacciola, Alterman, McLellan, Lin, & Lynch, 2007; McLellan, Cacciola, Carise, & Coyne, 1999), the Center for Therapeutic Community Research (CTCR) Baseline Interview Protocol (CTCR, 1992; De Leon, 1991; Sacks, 1997), the Risk Assessment Battery (RAB) (Navaline et al., 1994), the Risk Behavior Assessment (RBA) (Dowling-Guyer et al., 1994), Short Form-36 Health Survey (SF-36) (Ware, Snow, Kosinski, & Gandek, 1993), the Beck Depression Inventory-II (BDI-II) (Beck, Steer, & Brown, 1996), the Brief Symptom Inventory (BSI) that includes the Global Severity Index (GSI) (Derogatis, 1993), the Brief Psychiatric Rating Scale (BPRS) (Ventura, Green, Shaner, & Liberman, 1993), and the Structured Clinical Interview for DSM-IV (SCID) (First et al., 1997, 2002; Kranzler, Kadden, Babor, Tennen, & Rounsaville, 1996). The residential baseline interview took approximately two hours to complete plus 90 minutes for SCID; all other interviews were completed within an hour.
A total of 22 outcomes were assessed in eight domains. The substance use domain included four outcomes describing use in the last six months: any alcohol intoxication; frequency of alcohol intoxication; any drug use; frequency of drug use. Crime included any illegal activity for profit in the last month and any time spent in jail in the previous six months. The mental health domain included the BDI-II the GSI, and the SF-36 mental health component. Social functioning was based solely on the SF-36 social functioning composite. The physical health domain included four outcomes: a four-point health rating; the SF-36 physical health component score; emergency room treatment in the last three months; and inpatient hospital treatment in the last three months. Employment was assessed as any employment in the previous month. Five outcomes were included in the HIV-risk behavior domain, all regarding behaviors reported in the last three months: any needle use; having unprotected sex with someone who is HIV- or whose serostatus was unknown; having sex while high; exchanging sex for money or drugs; and the number of sex partners. Finally, residential stability included two outcome measures: currently in stable housing; and spending one or more nights in unstable housing in the previous six months.
Analytic plan
Propensity analysis
Propensity analysis is a statistical technique used to adjust for non-equivalencies between groups (Rubin, 1997). Using stepwise logistic regression of baseline characteristics, a predictive model of treatment assignment was developed and an aggregate covariate – the propensity score was –computed. The most parsimonious propensity model consisted of physical health now compared to a year ago (AB; 1 = much better; 2 = somewhat better; 3 = about the same; 4 = somewhat worse; 5 = much worse), the SF-36 mental health component (AB); “spent time in a jail/halfway house (in the past six months) because there was nowhere else to go”; and the number of days in MTC-R treatment. Subjects with the same propensity score share the same multivariate distribution of covariates; therefore, the propensity score was used to match subjects, and to exclude those for whom few or no equivalent subjects exist.
The total sample was first divided into High, Medium, and Low propensity strata; the Low and Medium propensity strata were combined to provide an adequate number of subjects in both treatment conditions. The two treatment groups within each stratum were then compared to explore equivalency. In the High propensity stratum, no differences between E and C groups emerged, indicating that the treatment groups were re-balanced; however, for the Low/Medium stratum, a significant difference between E and C did emerge for the SF-36 mental health component, indicating that the combined Low/Medium stratum was not re-balanced, which should be taken into account when interpreting results.
The High propensity stratum consisted of subjects with greater psychological functioning and stable physical health, whereas the Low/Medium stratum contained subjects with poorer psychological functioning and better physical health. Compared to the Low/Medium stratum, subjects in the High stratum reported greater mental health functioning (56.20 vs. 46.54; p < 0.002), little change in physical health (2.56 vs. 1.34; p < 0.001), and fewer days of treatment (119.8 vs. 150.8; p <0.04). The measure of time spent in jail/halfway house because the subject “had nowhere else to go” had a significant impact on the propensity model, but did not result in significant differences between the propensity strata (33% vs. 18%; p < 0.22).
Impact of E (MTC-A)
Effect sizes were calculated to evaluate aftercare treatment effects occurring between residential baseline and six- and 12-month assessments. Hedge’s g effects (Rosenthal, 1994, p. 237) were scaled so that negative effects indicated greater improvement for the E (MTC-A) condition. A “top-down” analytical approach (McKendrick, Sullivan, Banks, & Sacks, 2006; Quezado et al., 1998; Sacks, McKendrick, & Banks, 2008; Sacks, Sacks et al., 2008; Sacks, Sacks, McKendrick, Pearson, & Banks, 2004) was used, testing all 22 variables together to see whether the overall average effect size was significantly different from zero before investigating the individual domains. A one-sample t-test was used to determine whether the average effect was significantly greater than zero. If the overall test was statistically significant, individual assessments of the eight outcome domains were conducted. Kruskal – Wallis tests for mean rank were used to compare the Hedge’s g effect sizes between the Low/Medium and High propensity strata.
Results
Sample
As shown in Table 2, study subjects were predominantly minority (95%) and male (63%), with an average age of 40 (range 21 – 56). Most had never married (75%), and half (52%) had less than a high school (or GED) education. All subjects had SCID diagnoses of substance abuse/dependence (100% drug and 56% alcohol) plus at least one mental disorder (79% Axis I and 77% Axis II). Over two-thirds (67%) had a mood disorder; 77% had a personality disorder, and 46% had a psychotic disorder. Forty-three percent described their health as “fair” or “poor,” and 16% said their health was worse than it was a year before the residential baseline interview. Over half (51%) reported ever having hepatitis (A through C), 45% any sexually transmitted disease (STD), 25% genital herpes, and 27% pneumonia. Other indicators of dysfunction included a lifetime history of trauma/abuse (44%), a criminal conviction (77%), incarceration (60%), literal homelessness (58%), and/or a history of intravenous drug use (49%). Information on viral load and CD4 cell counts was not collected as part of the study (the instruments and measures used were determined within a cooperative agreement); some medical information was obtained, but inconsistencies (e.g., recentness of test results) limited its validity.
Table 2.
Profile of sample.
| Measures | Total (n = 76) %/Mean (Std) |
E (MTC-A) (n = 42) %/Mean (Std) |
C (n = 34) %/Mean (Std) |
p | Low/Medium (n = 46) %/Mean (Std) |
High (n = 21) %/Mean (Std) |
p |
|---|---|---|---|---|---|---|---|
| Gender | |||||||
| Male | 63 | 59.5 | 68 | 0.465 | 61 | 52 | 0.513 |
| Ethnicity | |||||||
| Minority | 95 | 95 | 94 | 0.828 | 93.5 | 95 | 0.778 |
| Age | 39.8 (8.1) | 39.2 (7.6) | 40.4 (8.7) | 0.543 | 39.8 (8.3) | 39.8 (6.3) | 0.981 |
| Marital status | |||||||
| Never married | 75 | 76 | 73.5 | 0.837 | 73 | 81 | 0.501 |
| Education | |||||||
| <HS diploma/GED | 52 | 46 | 59 | 0.280 | 53.5 | 62 | 0.524 |
| SCID | |||||||
| Drug depend/abuse | 100 | 100 | 100 | – | 100 | 100 | – |
| Alcohol depend/abuse | 56 | 57 | 53 | 0.822 | 53 | 62.5 | 0.550 |
| Axis I diagnosis | 79 | 73 | 93 | 0.103 | 80 | 81 | 0.919 |
| Axis II diagnosis | 77 | 76 | 80 | 0.737 | 83 | 75 | 0.497 |
| Mood disorder | 67 | 65 | 73 | 0.555 | 63 | 75 | 0.421 |
| Personality disorder | 77 | 76 | 80 | 0.737 | 83 | 75 | 0.497 |
| Psychotic disorder | 46 | 49 | 40 | 0.571 | 50 | 44 | 0.686 |
| Health | |||||||
| Fair/poor | 43 | 41.5 | 44 | 0.817 | 47 | 33 | 0.307 |
| Worse than a year ago | 16 | 22 | 9 | 0.123 | 16 | 19 | 0.723 |
| Hepatitis A – C | 51 | 47.5 | 56 | 0.472 | 21 | 29 | 0.530 |
| Herpes | 25 | 17.5 | 34 | 0.100 | 50 | 48 | 0.857 |
| STD | 45 | 54 | 35 | 0.112 | 47 | 38 | 0.513 |
| Pneumonia | 27 | 32.5 | 21 | 0.250 | 27 | 33 | 0.577 |
| Lifetime events | |||||||
| Trauma/abuse | 44 | 46 | 41 | 0.654 | 49 | 38 | 0.412 |
| Criminal conviction | 77 | 76 | 79 | 0.695 | 80 | 76 | 0.724 |
| Incarceration | 60 | 56 | 65 | 0.449 | 56 | 67 | 0.392 |
| Homeless | 58 | 62.5 | 43 | 0.353 | 58 | 58 | 0.850 |
| IV drug use | 49 | 52 | 44 | 0.474 | 43.5 | 62 | 0.162 |
Notes:
p<0.05;
p<0.01;
p<0.001. SCID, structured clinical interview for DSM disorders, data available for 52 subjects (37 E & 15 C; 30 Low/Medium propensity and 16 High propensity). Drug/alcohol depend/abuse, drug/alcohol dependence or abuse disorder; STD, sexually transmitted disease; IV, Intravenous.
MTC-A treatment effects at six-month follow-up
Table 3 shows a significant overall treatment effect favoring the E condition at a six-month follow-up for the High propensity stratum (Hedge’s g −0.34; p < 0.002). Further investigation of the outcomes for this stratum showed domain-level effects favoring the E condition for all eight outcome domains, with significant treatment effects emerging for substance use (−0.63; p < 0.02) and mental health (−0.52; p <0.03).
Table 3.
Hedge’s g effect sizes at six-month follow-up by propensity strata.
| Change scores for outcomes (baseline to 6M follow-up) | Number of Items | Low/Medium propensity – Improved physical health | High propensity – Greater psychological functioning |
|---|---|---|---|
| E (MTC-A) vs. C Hedges g (p) | E (MTC-A) vs. C Hedges g (p) | ||
| Overall/total | 22 | 0.25 (0.01**) | −0.34 (0.002**) |
| Substance use | 4 | 0.34 (0.02*) | −0.63 (0.02*) |
| L6 any alcohol intoxication | 0.35 | −0.65 | |
| L6 frequency of alcohol intoxication | 0.43 | −0.28 | |
| L6 any drug use | 0.14 | −0.79 | |
| L6 sum of frequencies of drugs used | 0.42 | −0.79 | |
| Crime | 2 | −0.15 (0.17) | −0.42 (0.17) |
| Mental health | 3 | 0.37 (0.10) | −0.52 (0.03*) |
| BDI total score | (N/A) | −0.44 | |
| GSI total | (N/A) | −0.41 | |
| SF-36 mental health component | (N/A) | −0.70 | |
| Social functioning | 1 | 0.44 (N/A) | −0.32 (N/A) |
| Physical health | 4 | −0.06 (0.65) | −0.04 (0.91) |
| Employment | 1 | 0.63 (N/A) | −0.70 (N/A) |
| HIV risk behavior | 5 | 0.50 (0.11) | −0.28 (0.39) |
| Residential stability | 2 | −0.01 (0.76) | −0.02 (0.84) |
Notes:
p<0.05;
p<0.01;
p<0.001; M, months; L6, last 6 months.
For the Low/Medium propensity stratum (not effectively re-balanced due to sample size constraints), a significant overall treatment effect favored the C condition (0.25; p < 0.01), while a domain level significant treatment effect was detected only for substance use (0.34; p < 0.02).
A comparison of the Hedge’s g effect sizes for the Low/Medium and High propensity strata using Kruskal – Wallis tests indicated significant differences for the overall Hedge’s g effects (p < 0.001), as well as for the domains of substance use (p < 0.03) and mental health (p < 0.05). Although overall treatment effects differed, it is important to note that none of the four study groups worsened significantly on any outcome measure during the follow-up period (see Table 4).
Table 4.
Change from baseline to six-month follow-up by propensity strata.
| Change for outcomes (baseline to 6M follow-up) | Low/Medium propensity
|
High propensity
|
|||
|---|---|---|---|---|---|
| E (MTC-A)
|
C
|
E (MTC-A)
|
C
|
||
| %/Mean (Std) | %/Mean (Std) | %/Mean (Std) | %/Mean (Std) | ||
| Substance use | |||||
| L6 any alcohol intoxication | Baseline | 68.8 | 78.3 | 61.5 | 50.0 |
| 6M F/U | 12.5 | 8.7 | 7.7 | 25.0 | |
| L6 frequency of alcohol intoxicationa | Baseline | 6.8 (2.4) | 6.5 (2.2) | 6.3 (2.3) | 7.5 (0.7) |
| 6M F/U | 2.7 (2.1) | 0.6 (1.8) | 0.4 (1.1) | 1.0 (1.4) | |
| L6 any drug use | Baseline | 81.3 | 78.3 | 84.6 | 75.0 |
| 6M F/U | 12.5 | 13.0 | 15.4 | 50.0 | |
| L6 sum of frequencies of drugs used | Baseline | 12.9 (7.2) | 17.8 (8.7) | 15.9 (7.5) | 8.3 (5.7) |
| 6M F/U | 0.6 (1.9) | 2.1 (4.7) | 0.4 (0.9) | 1.3 (1.9) | |
| Crime | |||||
| L1 any illegal activity for profit | Baseline | 5.9 | 13.0 | 7.7 | 0.0 |
| 6M F/U | 0.0 | 0.0 | 0.0 | 0.0 | |
| L6 any time in jail | Baseline | 31.3 | 30.4 | 53.8 | 50.0 |
| 6M F/U | 6.3 | 8.7 | 0.0 | 0.0 | |
| Mental health | |||||
| BDI total score | Baseline | 16.1 (6.7) | 18.9 (10.0) | 15.3 (3.7) | 15.3 (11.9) |
| 6M F/U | 13.1 (11.9) | 8.2 (6.6) | 10.0 (10.9) | 16.5 (8.4) | |
| GSI total | Baseline | 45.3 (4.0) | 47.7 (9.0) | 42.0 (10.3) | 41.8 (7.4) |
| 6M F/U | 38.6 (9.2) | 36.4 (10.1) | 39.0 (7.7) | 42.3 (5.9) | |
| SF-36 mental health component | Baseline | 42.4 (11.8) | 37.6 (13.0) | 43.5 (10.4) | 43.1 (9.1) |
| 6M F/U | 46.5 (14.2) | 47.2 (13.7) | 49.5 (11.1) | 41.6 (13.2) | |
| Social functioning | |||||
| SF-36 social functioning | Baseline | 46.6 (11.3) | 38.5 (13.7) | 13.2 (13.9) | 43.6 (11.3) |
| 6M F/U | 44.9 (12.6) | 46.5 (11.5) | 47.5 (12.0) | 46.3 (7.7) | |
| Physical health | |||||
| Health ratingb | Baseline | 3.0 (1.2) | 3.0 (1.1) | 3.0 (1.0) | 3.5 (0.6) |
| 6M F/U | 2.9 (1.2) | 3.0 (1.0) | 3.1 (1.0) | 4.3 (0.5) | |
| SF-36 physical health component | Baseline | 44.9 (9.0) | 47.2 (10.3) | 42.0 (10.4) | 42.6 (14.0) |
| 6M F/U | 45.5 (7.3) | 47.6 (10.1) | 42.8 (12.9) | 48.8 (6.6) | |
| L3 any emergency room | Baseline | 25.0 | 34.8 | 38.5 | 25.0 |
| 6M F/U | 25.0 | 13.0 | 38.5 | 0.0 | |
| L3 any inpatient hospital treatment | Baseline | 25.0 | 26.1 | 38.5 | 25.0 |
| 6M F/U | 18.8 | 8.7 | 30.8 | 0.0 | |
| Employment | |||||
| L1 any employment | Baseline | 6.3 | 4.3 | 0.0 | 0.0 |
| 6M F/U | 18.8 | 26.1 | 30.8 | 0.0 | |
| HIV risk behavior | |||||
| L3 any needle use | Baseline | 12.5 | 21.7 | 0.0 | 25.0 |
| 6M F/U | 0.0 | 4.3 | 0.0 | 0.0 | |
| L3 any unprotected sex with HIV-/unknown | Baseline | 12.5 | 26.1 | 76.9 | 50.0 |
| 6M F/U | 18.8 | 4.3 | 33.3 | 50.0 | |
| L3 any sex while high | Baseline | 12.5 | 26.1 | 30.8 | 25.0 |
| 6M F/U | 0.0 | 4.3 | 0.0 | 25.0 | |
| L3 exchanged sex for money/drugs | Baseline | 6.7 | 17.4 | 30.8 | 25.0 |
| 6M F/U | 0.0 | 0.0 | 0.0 | 25.0 | |
| L3 number sex partners | Baseline | 0.8 (1.6) | 0.9 (1.3) | 1.5 (2.7) | 1.3 (1.9) |
| 6M F/U | 1.0 (0.8) | 0.8 (0.6) | 1.2 (0.6) | 2.5 (3.0) | |
| Residential stability | |||||
| Currently in stable housing | Baseline | 12.5 | 10.5 | 15.4 | 0.0 |
| 6M F/U | 68.8 | 36.8 | 61.5 | 66.7 | |
| L6 1+ night in unstable housing | Baseline | 62.5 | 60.9 | 61.5 | 75.0 |
| 6M F/U | 37.5 | 56.5 | 46.2 | 25.0 | |
Notes: M, months; F/U, follow-up; L1, last month; L3, last 3 months; L6, last 6 months.
Alcohol intoxication: 0 never, 1 once, 2 two to three times, 3 once/month, 4 once/two weeks, 5 once/week, 6 two to three times/week, 7 four to five times/week, 8 almost every day, 9 every day.
Health rating: 1 excellent, 2 very good, 3 good, 4 fair, 5 poor.
MTC-A treatment effects at 12-month follow-up
For the High propensity stratum, 12-month findings were consistent with those at six months in direction but not in significance. Although the majority of Hedge’s g effects (15 of 22, or 68%) favored the E condition, the overall effect was not significant −0.15 (p < 0.22). Significant MTC-A treatment effects emerged for two domains, the substance use domain (−0.61; p < 0.02) and the physical health domain (−0.25; p<0.05), with the latter showing an increase in magnitude at 12 months compared to six months. For the mental health domain, a non-significant positive effect emerged (0.57; p < 0.19), which was inconsistent with the six-month finding.
For the Low/Medium propensity stratum, the overall effect continued to favor the C group (0.22; p < 0.03); however, the substance use domain no longer showed significant treatment effects. The Kruskal – Wallis mean rank tests comparing the effects for the two propensity strata were significant for the overall effect and for the substance use domain. Again, despite significant treatment effects for the two propensity strata, none of the four study groups reported significant worsening on any outcome measure during the follow-up period.
HIV medication adherence
The treatment conditions and propensity groups were similar in adherence to HIV medication. At the six-month follow-up, 38% of MTC-A clients in the High propensity stratum reported skipping HIV medication in the last month, compared to 50% of those in the C condition. In the Low/Medium stratum, the rates were 33% for MTC-A and 32% for C.
Discussion
Summary
Moderate treatment effects favoring MTC-A treatment emerged for participants in the High propensity stratum; significant effects were detected overall, for substance use, and for mental health. The High stratum was the only propensity group to be adequately re-balanced for measures in which differences between the retrieved E and C groups were apparent at (or before) randomization. High stratum clients reported the highest psychological functioning, and little change in their physical health in the year preceding the AB interview, which indicates that a six-month aftercare program could be of most benefit to those who enter treatment with higher functioning and stable health.
The findings support earlier research in three key ways. First, this study points to continued benefits from MTC programming in aftercare. Subjects who continued MTC treatment in aftercare reported greater gains or sustained the improvements acquired during residential treatment, which mirrors findings in other co-occurring disorders populations (i.e., offenders; Sacks, Sacks, McKendrick, Banks et al., 2004). Second, substance use and mental health were two of the outcome domains in which treatment effects favoring the MTC-A was greatest. In a recent synthesis of three studies of subjects with co-occurring disorders (Sacks, McKendrick, Sacks, & Cleland, 2010), significant MTC treatment effects were detected for five of six outcome domains, including substance use, mental health, crime, employment, and housing. Finally, this study found that, although the direction of the effects was maintained at a 12-month follow-up, the magnitude of the treatment effects had diminished, many of which were no longer significant.
Limitations
Sample
This study was limited to participants in Philadelphia who were HIV+ with co-occurring mental and substance abuse disorders, and who completed MTC-R (residential) treatment. Retrieval rates at follow-up assessments (76% at six months and 72% at 12 months) also influenced sample size limitations. Findings may not extrapolate to triply diagnosed clients who do not complete residential treatment, who are located in other regions, or who are from other ethnic/racial groups (the sample was predominately African American/Black).
Residential vs. aftercare effects
Subjects in both treatment conditions reported significant improvement during MTC-R (modified TC residential) treatment, which occurred prior to randomization, so differences between the E and C aftercare groups were not expected. Significant MTC-R treatment effects for the combined sample emerged for seven of the eight outcome domains and for 14 of 22 measures (p < 0.05); however, these residential effects overshadowed findings attributable to the MTC-A program, and the “floor effect” of many outcomes (De Leon, Sacks, Staines, & McKendrick, 2000; Sacks, De Leon et al., 2003) constrained the ability to detect the benefits of aftercare.
Conclusion
For clients with greater psychological functioning and stable health, moderate treatment effects favoring MTC-A treatment were found overall as well as for substance use and mental health. This suggests that a six-month MTC-A program could be of most benefit to those who enter treatment with higher functioning and stable health. These results should be viewed with caution due to the small sample size and the fact that among subjects with poorer psychological functioning and improved physical health, the comparison condition demonstrated significantly better outcomes for some variables (i.e., substance use). Nonetheless, results indicated that aftercare can help to maintain, or even enhance, treatment gains achieved during residential treatment. Further research into efforts to enhance benefits of aftercare programming for patients with varying levels of functioning is warranted.
Acknowledgments
This article has not been published elsewhere nor has it been submitted simultaneously for publication elsewhere. The work reported in this manuscript was supported by a grant 1 UD1-SM52403, Integrated Residential/Aftercare TC for HIV/AIDS and Comorbid Disorders, Center for Mental Health Services (CMHS) with Health Resources & Services Administration (HRSA) HIV/AIDS Bureau, National Institutes of Health (NIH), National Institute of Mental Health (NIMH), National Institute on Drug Abuse (NIDA), National Institute on Alcohol Abuse & Alcoholism (NIAAA), GFA No. SM 98.007, FCFDA No. 93.230, Cooperative Agreements for an HIV/AIDS Treatment Adherence, Health Outcomes, and Cost Study. Views and opinions are those of the authors and do not necessarily reflect those of the Department of Health & Human Services, SAMHSA, CMHS, or HRSA, HIV/AIDS Bureau, or the National Institutes of Health, NIDA, NIMH, and NIAAA.
Footnotes
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References
- American Psychiatric Association. Fourth diagnostic and statistical manual of mental disorders, revised (DSM-IV) Washington, DC: American Psychiatric Association, Committee on Nomenclature and Statistics; 1994. [Google Scholar]
- Beck AT, Steer RA, Brown GK. Beck depression inventory second edition (BDI-II) manual. San Antonio, TX: The Psychological Corporation; 1996. [Google Scholar]
- Cacciola JS, Alterman AI, McLellan AT, Lin YT, Lynch KG. Initial evidence for the reliability and validity of a “Lite” version of the Addiction Severity Index. Drug and Alcohol Dependence. 2007;87(2–3):297–302. doi: 10.1016/j.drugalcdep.2006.09.002. [DOI] [PubMed] [Google Scholar]
- Center for Disease Control and Prevention (CDC) 1993 revised classification system for HIV infection and expanded surveillance case definition for AIDS among adults and adolescents. 1993 Retrieved from http://www.cdc.gov/mmwr/preview/mmwrhtml/00018871.htm. [PubMed]
- Center for Therapeutic Community Research (CTCR) CTCR Baseline Interview Protocol. © National Development and Research Institutes, Inc; 71 W 23 Street, 8th Floor, NY, NY 10010: 1992. [Google Scholar]
- Chander G, Himelhoch S, Moore RD. Substance abuse and psychiatric disorders in HIV-positive patients: Epidemiology and impact on antiretroviral therapy. Drugs. 2006;66(6):769–789. doi: 10.2165/00003495-200666060-00004. [DOI] [PubMed] [Google Scholar]
- Dausey DJ, Desai RA. Psychiatric comorbidity and the prevalence of HIV infection in a sample of patients in treatment for substance abuse. The Journal of Nervous and Mental Disease. 2003;191:10–17. doi: 10.1097/00005053-200301000-00003. [DOI] [PubMed] [Google Scholar]
- De Leon G. Retention in drug free therapeutic communities. In: Pickens RW, Leukefeld CG, Schuster CR, editors. Improving drug abuse treatment. Washington, DC: National Institute on Drug Abuse (NDRI) Research Monograph #106, Superintendent of Documents, US Government Printing Office; 1991. pp. 218–244. [Google Scholar]
- De Leon G, Sacks S, Staines G, McKendrick K. Modified TC for homeless mentally ill chemical abusers: Treatment outcomes. American Journal of Drug & Alcohol Abuse. 2000;26(3):461–480. doi: 10.1081/ada-100100256. [DOI] [PubMed] [Google Scholar]
- Derogatis LR. Brief symptom inventory administration, scoring, and procedures manual. 3rd. Minneapolis: National Computer Systems, Inc; 1993. [Google Scholar]
- Dowling-Guyer S, Johnson ME, Fisher DG, Needle R, Watters J, Anderson M, Tortu S. Reliability of drug users’ self-reported HIV risk behaviors and validity of self-reported recent drug use. Assessment. 1994;1:383–392. [Google Scholar]
- Drake RE, McHugo GJ, Clark RE, Teague GB, Xie H, Miles K, Ackerson TH. Assertive community treatment for patients with co-occurring severe mental illness and substance use disorder: A clinical trial. American Journal of Orthopsychiatry. 1998;68(2):201–215. doi: 10.1037/h0080330. [DOI] [PubMed] [Google Scholar]
- Drake RE, Mueser KT. Psychosocial approaches to dual diagnosis. Schizophrenia Bulletin. 2000;26(1):105–118. doi: 10.1093/oxfordjournals.schbul.a033429. [DOI] [PubMed] [Google Scholar]
- First MB, Gibbon M, Spitzer RL, Williams JBW, Benjamin LS. Structured clinical interview for DSM-IV Axis II personality disorders (SCID-II) Arlington, VA: American Psychiatric Publishing, Inc; 1997. [Google Scholar]
- First MB, Spitzer RL, Gibbon M, Williams JBW. Structured clinical interview for DSM-IV-TR Axis I disorders, research version, patient edition (SCID-I/P) New York: Biometrics Research, New York State Psychiatric Institute; 2002. [Google Scholar]
- Galvan FH, Burnam MA, Bing EG. Co-occurring psychiatric symptoms and drug dependence or heavy drinking among HIV-positive people. Journal of Psychoactive Drugs. 2003;35(Suppl 1):153–160. doi: 10.1080/02791072.2003.10400510. [DOI] [PubMed] [Google Scholar]
- Johnson JG, Rabkin JG, Lipsitz JD, Williams JBW, Remien RH. Recurrent major depressive disorder among human immunodeficiency virus (HIV)-positive and HIV negative intravenous drug users: Findings of a 3-year longitudinal study. Comprehensive Psychiatry. 1999;40(1):31–34. doi: 10.1016/s0010-440x(99)90073-1. [DOI] [PubMed] [Google Scholar]
- Kranzler HR, Kadden RM, Babor TR, Tennen H, Rounsaville BJ. Validity of the SCID in substance abuse patients. Addiction. 1996;91(6):859–868. [PubMed] [Google Scholar]
- McKendrick K, Sullivan CJ, Banks S, Sacks S. Modified therapeutic community treatment for offenders with MICA disorders: Antisocial personality disorder and treatment outcomes. Journal of Offender Rehabilitation. 2006;44(2/3):133–159. [Google Scholar]
- McLellan AT, Cacciola J, Carise D, Coyne TH. The addiction severity index lite: Clinical/training version (rev 06/02/99) Treatment Research Institute (TRI); 600 Public Ledger Building, 150 S. Independence Mall West, Philadelphia, PA 19106: 1999. Retrieved from http://www.tresearch.org/resources/instruments/ASI_Lite.pdf. [Google Scholar]
- McLellan AT, Woody GE, Luborsky L, O’Brien CP, Druley KA. Predicting response to alcohol and drug abuse treatments: Role of psychiatric severity. Archives of General Psychiatry. 1983;40:620–625. doi: 10.1001/archpsyc.1983.04390010030004. [DOI] [PubMed] [Google Scholar]
- Navaline HA, Snider EC, Petro CJ, Tobin D, Metzger D, Alterman AI, Woody GE. Preparations for AIDS vaccine trials. An automated version of the risk assessment battery (RAB): Enhancing the assessment of risk behaviors. AIDS Research and Human Retroviruses. 1994;10(Suppl 2):281–283. [PubMed] [Google Scholar]
- Quezado ZM, Natanson C, Karzai W, Danner RL, Koev CA, Fitz Y, Eichacker PQ. Cardiopulmonary effects of inhaled nitric oxide in normal dogs and during E. coli pneumonia and sepsis. Journal of Applied Physiology. 1998;84:107–115. doi: 10.1152/jappl.1998.84.1.107. [DOI] [PubMed] [Google Scholar]
- Rabkin JG, Johnson J, Lin SH, Lipsitz JD, Remien RH, Williams JB, Gorman JM. Psychopathology in male and female HIV positive and negative injecting drug users: Longitudinal course over 3 years. AIDS. 1997;11:507–515. doi: 10.1097/00002030-199704000-00015. [DOI] [PubMed] [Google Scholar]
- Rosenthal R. Parametric measures of effect size. In: Cooper H, Hedges LV, editors. The handbook of research synthesis. New York, NY: Sage; 1994. pp. 231–244. [Google Scholar]
- Rounsaville BJ, Tierney T, Crits-Cristoph K, Weissman MM, Kleber HD. Predictors of outcome in treatment of opiate addicts: Evidence for the multidimensional nature of addicts’ problems. Comprehensive Psychiatry. 1982;23:462–478. doi: 10.1016/0010-440x(82)90160-2. [DOI] [PubMed] [Google Scholar]
- Rubin DB. Estimating causal effects from large data sets using propensity scores. Annals of Internal Medicine. 1997;127:757–763. doi: 10.7326/0003-4819-127-8_part_2-199710151-00064. [DOI] [PubMed] [Google Scholar]
- Sacks S. TC-oriented supported housing for homeless MICAs: Final report. Rockville, MD: Center for Mental Health Services (CMHS)/Center for Substance Abuse Treatment (CSAT); 1997. (CMHS/CSAT Cooperative Demonstration Program for Homeless Individuals). [Google Scholar]
- Sacks S, Chandler R, Gonzales J, editors. Special Issue: Recent advances in research on the treatment of co-occurring disorders. Journal of Substance Abuse Treatment. 2008;34(1):1–146. doi: 10.1016/j.jsat.2007.03.008. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Sacks S, De Leon G, Bernhardt AI, Sacks J. Modified therapeutic community for homeless MICA individuals: A treatment manual (revised) New York, NY: NDRI; 1998. (Center for Mental Health Services (CMHS)/Center for Substance Abuse Treatment (CSAT) Grant #1UD3 SM/TI51558-01). Retrieved from http://www.ndri.org/ctrs/cirp/mica1998.pdf. [Google Scholar]
- Sacks S, De Leon G, McKendrick K, Brown B, Sacks JY. TC-oriented supported housing for homeless MICAs. Journal of Psychoactive Drugs. 2003;35(3):355–366. doi: 10.1080/02791072.2003.10400018. [DOI] [PubMed] [Google Scholar]
- Sacks JY, McKendrick K, Banks S. The impact of early trauma and abuse on residential substance abuse treatment outcomes for women. Journal of Substance Abuse Treatment. 2008;34(1):90–100. doi: 10.1016/j.jsat.2007.01.010. [DOI] [PubMed] [Google Scholar]
- Sacks S, McKendrick K, Sacks JY, Cleland C. Modified therapeutic community for co-occurring disorders: Single investigator meta-analysis. Substance Abuse. 2010;31(3):146–161. doi: 10.1080/08897077.2010.495662. NIHMS 212261. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Sacks S, Sacks JY, De Leon G, Bernhardt AI, Staines GL. Modified therapeutic community for mentally ill chemical “abusers”: Background; influences; program description; preliminary findings. Substance Use and Misuse. 1997;32(9):1217–1259. doi: 10.3109/10826089709035472. [DOI] [PubMed] [Google Scholar]
- Sacks JY, Sacks S, McKendrick K, Banks S, Schoeneberger M, Hamilton Z, Shoemaker J. Prison therapeutic community treatment for female offenders: Profiles and preliminary findings for mental health and other variables (crime, substance use & HIV risk) Journal of Offender Rehabilitation. 2008;46(3/4):233–261. doi: 10.1080/10509670802143680. [DOI] [Google Scholar]
- Sacks S, Sacks JY, McKendrick K, Banks S, Stommel J. Modified TC for MICA offenders: Crime outcomes. Behavioral Sciences & The Law. 2004;22:477–501. doi: 10.1002/bsl.599. [DOI] [PubMed] [Google Scholar]
- Sacks S, Sacks JY, McKendrick K, Pearson F, Banks S. Outcomes from a therapeutic community for homeless, addicted mothers and their children. Administration and Policy in Mental Health. 2004;31(4):313–338. doi: 10.1023/b:apih.0000028895.78151.88. [DOI] [PubMed] [Google Scholar]
- Sacks S, Sacks JY, Stommel J. Modified TC for MICA inmates in correctional settings: A program description. Corrections Today. 2003 Oct;:90–99. [Google Scholar]
- Sullivan CJ, McKendrick K, Sacks S, Banks SM. Modified TC for MICA offenders: Substance use outcomes. American Journal of Drug & Alcohol Abuse. 2007;33(6):823–832. doi: 10.1080/00952990701653800. [DOI] [PubMed] [Google Scholar]
- US Department of Health and Human Services (DHHS) Mental health: A report of the surgeon genera – executive summary. Rockville, MD: U.S. DHHS, Substance Abuse & Mental Health Services Administration, Center for Mental Health Services, National Institutes of Health, National Institute of Mental Health; 1999. Retrieved from http://www.mentalhealth.org/features/surgeongeneralreport/home.asp. [Google Scholar]
- Ventura J, Green MF, Shaner A, Liberman RP. Training and quality assurance with the brief psychiatric rating scale: “The drift buster. International Journal of Methods in Psychiatric Research. 1993;3(4):221–224. [Google Scholar]
- Walkup J, Crystal S, Sambamoorthi U. Schizophrenia and major affective disorder among Medicaid recipients with HIV/AIDS in New Jersey. American Journal of Public Health. 1999;89:1101–1103. doi: 10.2105/ajph.89.7.1101. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Ware JE, Snow KK, Kosinski M, Gandek B. SF-36 health survey: Manual and interpretation guide. Boston, MA: Health Institute, New England Medical Center; 1993. [Google Scholar]
