Predictors of engagement and dropout in the context of joint treatment for dual disorders: An exploratory analysis

This study used data from the South African Stress and Health Study (SASH) to examine both structural and attitudinal barriers to treatment initiation among South Africans with mental disorders and to investigate predictors of treatment dropout. Face-to-face interviews were conducted with 4,315 adult South Africans living in households or hostel quarters. The interview included a core diagnostic assessment of past-12-month mental disorders and assessments of disorder severity, service use, and barriers to treatment. Multivariate logistic regression models were used to determine predictors of not seeking treatment in relation to disorder severity and sociodemographic characteristics, as well as factors that were predictive of premature treatment discontinuation by participants who had received mental health treatment in the previous 12 months. Predictors of dropout were identified by cross-tabulation and discrete-time survival analysis. Of the 4,315 adults, 729 (16.9% weighted) met criteria for a mental disorder in the past 12 months. Across all levels of severity, the most frequently cited reason for not seeking professional treatment was a low perceived need for treatment. Among those who recognized the need but did not access treatment during the past 12 months (7.2%), attitudinal barriers to treatment seeking were reported more commonly than structural barriers (100% and 34%, respectively). Of the 182 respondents who received treatment (25% weighted), 20% discontinued prematurely. Various factors, such as substance use disorders and absence of health insurance, increased the odds of treatment dropout. Low rates of treatment seeking and high treatment dropout rates for common mental disorders among South Africans are a major concern. Public health efforts to improve treatment of mental disorders should consider the multiple influences on treatment initiation and discontinuation.

Background: Successful psychotherapy for posttraumatic stress disorder (PTSD) necessitates initial and sustained engagement. However, treatment dropout is common, with rates of 50–70% depending on the setting, type of treatment and how dropout is calculated. Dropout from residential treatment is less understood and could be impacted by participation of more symptomatic patient populations and reduced day-to-day barriers to engagement. Gaining insight into predictors of treatment dropout is critical given that individuals with greater symptoms are the most in need of successful treatments but also at higher risk of unsuccessful psychotherapy episodes.Aim: The aim of the current study was to examine predictors of treatment dropout among veterans receiving residential treatment for PTSD.Methods: The study included 3,965 veterans who initiated residential PTSD treatment within a Department of Veterans Affairs program during Fiscal Year 2015 and completed self-report measures of demographics and psychiatric symptoms at admission.Results: In our sample (N = 3,965, 86.5% male, mean age = 45.5), 27.5% did not complete the residential program (n = 1,091). Controlling for age, marital status, combat/non-combat trauma, and facility, generalized estimating equation modeling analysis indicated greater PTSD symptoms and physical functioning at admission were associated with reduced likelihood of completing the residential program. There were significant differences in trauma-focused psychotherapy received by individuals who dropped out of residential treatment and those who did not. Among veterans who dropped out, 43.6% did not get any trauma-focused psychotherapy; 22.3% got some, but less than 8 sessions; and 34.1% got at least 8 sessions; compared to 37.3%, 4.8%, and 57.9%, respectively, among program completers.Conclusion: Dropout rates from residential PTSD programs indicate that at least one in four veterans do not complete residential treatment, with more symptomatic individuals and those who do not receive trauma-focused therapy being less likely to complete.

This study used data from the South African Stress and Health Study (SASH) to examine both structural and attitudinal barriers to treatment initiation among South Africans with mental disorders and to investigate predictors of treatment dropout.Face-to-face interviews were conducted with 4,315 adult South Africans living in households or hostel quarters. The interview included a core diagnostic assessment of past-12-month mental disorders and assessments of disorder severity, service use, and barriers to treatment. Multivariate logistic regression models were used to determine predictors of not seeking treatment in relation to disorder severity and sociodemographic characteristics, as well as factors that were predictive of premature treatment discontinuation by participants who had received mental health treatment in the previous 12 months. Predictors of dropout were identified by cross-tabulation and discrete-time survival analysis.Of the 4,315 adults, 729 (16.9% weighted) met criteria for a mental disorder in the past 12 months. Across all levels of severity, the most frequently cited reason for not seeking professional treatment was a low perceived need for treatment. Among those who recognized the need but did not access treatment during the past 12 months (7.2%), attitudinal barriers to treatment seeking were reported more commonly than structural barriers (100% and 34%, respectively). Of the 182 respondents who received treatment (25% weighted), 20% discontinued prematurely. Various factors, such as substance use disorders and absence of health insurance, increased the odds of treatment dropout.Low rates of treatment seeking and high treatment dropout rates for common mental disorders among South Africans are a major concern. Public health efforts to improve treatment of mental disorders should consider the multiple influences on treatment initiation and discontinuation.

This study examined diagnoses of patients treated by psychiatrists in private practice in Denmark and identified predictors of dropout. Between 1996 and 2006, a total of 37 psychiatrists contributed data about treatment episodes to a quality assurance database. The diagnostic distribution was determined, and univariate and backward stepwise regression analysis was used to identify dropout predictors. Among 41,462 episodes (35,205 patients), 39%-41% were for an ICD-10 diagnosis of affective disorders, 30%-35% for nervous and stress-related disorders, and 10% for personality disorders. For episodes involving these diagnoses, 26,443 were terminated; 26.2% ended in dropout, which was predicted by the patient's being male, younger age (< or =44 years), presence of personality disorder, shorter treatment duration (< or =111 days), use of psychotropic medication, and a larger population per psychiatrist in the catchment area. Attention should be given to younger male patients treated for personality disorders, because they are at higher risk of treatment dropout.

Diagnoses and Dropout Among Patients of Danish Psychiatrists in Private Practice

Identifying predictors of early drop out from outpatient treatment of opioid use disorder (OUD) with buprenorphine/naloxone (BN) may improve care for subgroups requiring more intensive engagement to achieve stabilization. However, previous research on predictors of dropout among this population has yielded mixed results. The aim of the present study was to elucidate these mixed findings by simultaneously evaluating a range of putative risk factors that may predict dropout in BN maintenance treatment. Outpatient medical records and weekly supervised urine toxicology results were retrospectively reviewed for patients at two community psychiatric clinics (n = 202): a private hospital clinic (n = 84) and a federally qualified health center (n = 118). A forward stepwise logistic regression was utilized to investigate the association between early dropout (i.e., discontinuing treatment or buprenorphine non-adherence within the first 3 months of clinic entry) and extracted sociodemographic, clinical, substance use, and treatment history variables. Overall, 56 of 202 participants (27.7%) dropped out of treatment. The multivariable analysis indicated that age under 25 (B = 1.47, SEB = .52, p < .01) and opioid use in month 1 (B = 1.50, SEB = .41, p < .001) were significantly associated with early dropout; those with a history of suicide attempt were significantly less likely to drop out (B = -1.44, SEB = .67, p < .05). Consistent with previous research, younger age and use of opioids during the first month of treatment predicted early dropout. Having a history of prior suicide attempt was associated with 3-month BN treatment retention, which has not been previously reported. (Am J Addict 2016;25:472-477).

Panic disorder and agoraphobia are both characterized by avoidance behaviors, which are known correlates of treatment discontinuation. The aim of this exploratory study is to distinguish the profile of participants suffering from panic disorder with agoraphobia that complete treatment from those who discontinue therapy by assessing four categories of predictor variables: the severity of the disorder, sociodemographic variables, participants' expectations, and dyadic adjustment. The sample included 77 individuals diagnosed with panic disorder with agoraphobia who completed a series of questionnaires and participated in a cognitive-behavioral group therapy consisting of 14 weekly sessions. Hierarchical linear regression analyses revealed the importance of anxiety, prognosis, and role expectations as well as some individual variables as predictors of therapeutic dropout, either before or during treatment. Among the most common reasons given by the 29 participants who discontinued therapy were scheduling conflicts, dissatisfaction with treatment, and conflicts with their marital partner. These results suggest that expectations and dyadic relationships have an impact on therapeutic discontinuation. The clinical implications of these findings are discussed.

Predictors of dropout from a randomized clinical trial of cognitive processing therapy for female veterans with military sexual trauma-related PTSD

Treatment dropout in web-based cognitive behavioral therapy for patients with eating disorders.

Risk factors for dropout from psychological substance use disorder treatment programs in criminal justice settings

Relapse rates for psychosocial substance use disorder (SUD) treatments are high, and dropout is a robust predictor of relapse. This study aimed to estimate average dropout rates of in-person psychosocial SUD treatments and to assess predictors of dropout. A comprehensive meta-analysis of dropout rates of studies of in-person psychosocial SUD treatment. Studies included randomized controlled trials (RCTs) and cohort studies. Studies conducted anywhere in the world that examined SUD treatment and were published from 1965 to 2016, inclusive. One hundred and fifty-one studies, 338 study arms and 299 dropout rates including 26 243 participants. Databases were searched for studies of SUD treatment that included an in-person psychosocial component. Meta-analyses and meta-regressions were conducted to estimate dropout rates and identify predictors of dropout, including participant characteristics, facilitator characteristics and treatment characteristics. Pooled estimates were calculated with random-effects analyses accounting for the hierarchical structure of study arms nested within studies. The average dropout rate across all studies and study arms was 30.4% [95% confidence interval (CI)=27.2-33.8 and 95% prediction interval (PI)=6.25-74.15], with substantial heterogeneity (I2 =93.7%, P<0.0001). Studies including a higher percentage of African Americans and lower-income individuals were associated with higher dropout rates. At intake, more cigarettes/day anda greater percentage of heroin use days were associated with lower dropout rates, whereas heavier cocaine use was associated with higher dropout rates. Dropout rates were highest for studies targeting cocaine, methamphetamines and major stimulants (broadly defined) and lowest for studies targeting alcohol, tobacco and heroin, although there were few studies on methamphetamines, major stimulants and heroin. Programs characterized by more treatment sessions and greater average session length were associated with higher dropout rates.Facilitator characteristics were not significantly associated with dropout. On average, approximately 30% of participants drop out of in-person psychosocial SUD treatment studies, but there is wide variability. Drop-out rates vary with the treated population, the substance being targeted, and the characteristics of the treatment.

Introduction: The present study examined how both clinicians and service users experience existing treatments for Dual Disorders (DDs), namely the co-occurrence of a Severe Mental Illness (SMI) and a Substance Use Disorder (SUD). The literature indicates that many individuals with DDs present with an even more complex clinical portrait, which often includes additional pathologies or stressors, such as cluster B personality disorders, Post-traumatic Stress Disorder (PTSD) or trauma history, and depression. Treatment for these individuals is complicated by these mitigating factors and it is not clear whether extant treatments for DDs are successful with this population, and how they could be improved. Objective: This study aimed to explore the specific issues, successes and difficulties regarding the treatment of complex DDs, according to both clinicians’ and service users’ perspectives. Methods: A qualitative design was used in this exploratory study in order to best grasp the complexity of this clinical issue. Thirty clinicians and program directors specialized in the treatment of DDs, and 31 individuals diagnosed with complex DDs participated respectively in three and four focus groups conducted in various settings. Collected data were coded using a mixed open and closed coding procedure. Results: All participants expressed both positive and negative views on existing treatments. Clinicians and clinical directors expressed various issues, principally: powerlessness, dealing with personality disorders in people with DDs, seeking a common treatment vision, and services issues (notably housing). The main themes emerging in the service users’ interviews pertained to exclusion from services, personalised treatment plans, medication, and therapy. Conclusion: Although creative, personalised treatments were noted, it is clear to all clinicians, clinical directors and service users that existent services are not efficiently equipped for dealing with complex DDs. More integrated treatments, more comprehensive trainings and better access to adapted services would improve treatment outcomes for individuals diagnosed with complex DDs.

Predictors of Dropout in Cognitive Processing Therapy for PTSD: An Examination of Trauma Narrative Content

Predictors of dropout from inpatient dialectical behavior therapy among women with borderline personality disorder

Treatment of dual diagnosis [co-occurrence of a substance use disorder (SUD) in patients with mental illness] poses several challenges for mental health professionals. This article seeks to review the recent advances in dual diagnosis treatment with respect to pharmacotherapy and psychosocial approaches. Atypical antipsychotics are commonly used for comorbid schizophrenia and SUD. Whereas there is no difference between risperidone and olanzapine, clozapine appears to have a distinct advantage in reducing psychotic symptoms as well as substance abuse (including smoking). There is emerging evidence that quetiapine is beneficial in dually diagnosed patients, particularly using alcohol, cocaine and amphetamine. A combination of naltrexone and sertraline was found to be effective in patients with depressive disorder and alcohol dependence. Effectiveness of atomoxetine is yet to be established in patients with comorbid adult attention-deficit/hyperactivity disorder with respect to decrease in substance abuse. Integrated intervention is the choice of treatment for patients with dual diagnosis. In spite of the high association between substance use and psychiatric disorders, there is a surprising paucity of studies related to treatment and outcome. A few well-designed studies have been recently published and more studies of this nature are required in order to address the challenges posed in the treatment of dual disorders.