Predictors Of Dropout Research Articles

Determinants of successful completion of pulmonary rehabilitation in COPD.

BackgroundDespite known benefits, a significant proportion of patients with COPD do not complete pulmonary rehabilitation (PR). Little is known regarding which factors promote successful completion of PR.MethodsWe analyzed data from a prospectively maintained database of subjects with COPD who attended a PR program at the University of Alabama at Birmingham, from 1996 to 2013. Subjects were categorized as either completers or non-completers, based on successful completion of at least 8 weeks of PR. Demographics and comorbidities were recorded. Short Form 36 Health Survey, Beck Depression Inventory-II, and San Diego Shortness of Breath Questionnaire were administered to all participants at baseline and on completion of PR to assess participants’ perception of their health status, severity of depression, and dyspnea with performance of activities of daily living. Univariate and multivariable analyses were performed to identify predictors of successful completion of PR.ResultsFour hundred and forty subjects were included, of whom 229 completed PR. Forty-one percent were female, and 17% were African American. Compared with non-completers, completers had greater Short Form 36 Health Survey pain score, lower forced expiratory volume in the first second, and lower Beck Depression Inventory score, and included a lower percentage of current smokers. On multivariate analysis, cigarette smoking at enrollment was associated with lower likelihood of completion of PR (adjusted odds ratio 0.38, 95% confidence interval 0.16–0.90; P=0.02).ConclusionCigarette smoking was the sole independent predictor of PR dropout, and smoking cessation may warrant greater emphasis prior to enrollment.

Dropout in self-guided web-based interventions for depression can be predicted by several variables

ABSTRACT FROM: Karyotaki E, Kleiboer A, Smit F, et al . Predictors of treatment dropout in self-guided web-based interventions for depression: an ‘individual patient data’ meta-analysis. Psychol Med 2015;45:2717–26. Web-based...

Predictors of Dropout by Female Obese Patients Treated with a Group Cognitive Behavioral Therapy to Promote Weight Loss

Objective: To investigate predictors of dropout from a group cognitive behavioral therapy (CBT) intervention for overweight or obese women. Methods: 119 overweight and obese Japanese women aged 25-65 years who attended an outpatient weight loss intervention were followed throughout the 7-month weight loss phase. Somatic characteristics, socioeconomic status, obesity-related diseases, diet and exercise habits, and psychological variables (depression, anxiety, self-esteem, alexithymia, parenting style, perfectionism, and eating attitude) were assessed at baseline. Significant variables, extracted by univariate statistical analysis, were then used as independent variables in a stepwise multiple logistic regression analysis with dropout as the dependent variable. Results: 90 participants completed the weight loss phase, giving a dropout rate of 24.4%. The multiple logistic regression analysis demonstrated that compared to completers the dropouts had significantly stronger body shape concern, tended to not have jobs, perceived their mothers to be less caring, and were more disorganized in temperament. Of all these factors, the best predictor of dropout was shape concern. Conclusion: Shape concern, job condition, parenting care, and organization predicted dropout from the group CBT weight loss intervention for overweight or obese Japanese women.

Does Computerized Cognitive Behavioral Therapy Help People with Inflammatory Bowel Disease? A Randomized Controlled Trial.

Cognitive behavioral therapy may be useful for improving health-related quality of life (HRQOL) of at least some patients with inflammatory bowel disease (IBD), especially those with psychiatric comorbidities. However, cognitive behavioral therapy can be difficult to access. These difficulties can be overcome by computerized cognitive behavioral therapy (CCBT). This is a randomized controlled trial of a self-administered CCBT intervention for patients with IBD focused on improving HRQOL. It is hypothesized that CCBT completers will have an improved HRQOL relative to people not allocated to CCBT. Patients with IBD were randomly allocated to CCBT (n = 113) versus treatment as usual (n = 86). The IBD Questionnaire at 12 weeks after baseline was the primary outcome, while generic HRQOL, anxiety, depression, coping strategies, perceived stress, and IBD symptoms were secondary outcomes. Outcomes were also measured at 6 months after baseline. Predictors of dropout were also determined. Twenty-nine CCBT participants (25.7%) completed the CCBT. The IBD Questionnaire was significantly increased at 12 weeks in CCBT completers compared with treatment-as-usual patients (F = 6.38, P = 0.01). Short Form-12 mental score (F = 5.00, P = 0.03) was also significantly better in CCBT compared with treatment-as-usual patients at 12 weeks. These outcomes were not maintained at 6 months. The predictors of dropout were baseline depression, biological use, lower IBD Questionnaire scores, and not having steroids. Improvements at 12 weeks after baseline were not maintained at 6 months. Future research should aim to improve adherence rates. Moreover, CCBT may not work for patients with IBD with comorbid depression.

Treatment initiation and dropout from prolonged exposure and cognitive processing therapy in a VA outpatient clinic.

Emerging data suggest that few veterans are initiating prolonged exposure (PE) and cognitive processing therapy (CPT) and dropout levels are high among those who do start the therapies. The goal of this study was to use a large sample of veterans seen in routine clinical care to 1) report the percent of eligible and referred veterans who (a) initiated PE/CPT, (b) dropped out of PE/CPT, (c) were early PE/CPT dropouts, 2) examine predictors of PE/CPT initiation, and 3) examine predictors of early and late PE/CPT dropout. We extracted data from the medical records of 427 veterans who were offered PE/CPT following an intake at a Veterans Health Administration (VHA) PTSD Clinical Team. Eighty-two percent (n = 351) of veterans initiated treatment by attending Session 1 of PE/CPT; among those veterans, 38.5% (n = 135) dropped out of treatment. About one quarter of veterans who dropped out were categorized as early dropouts (dropout before Session 3). No significant predictors of initiation were identified. Age was a significant predictor of treatment dropout; younger veterans were more likely to drop out of treatment than older veterans. Therapy type was also a significant predictor of dropout; veterans receiving PE were more likely to drop out late than veterans receiving CPT. Findings demonstrate that dropout from PE/CPT is a serious problem and highlight the need for additional research that can guide the development of interventions to improve PE/CPT engagement and adherence.

School Climate Associated with School Dropout Among Tenth Graders

Objective. This study evaluated the association between high school dropout and six dimensions of school climate. Method. The sample consisted of 638 tenth graders who participated in the Healthy Teens Longitudinal Study. Participants attended school in Northeast Georgia, United States of America; they were surveyed even if they dropped out of school. Information about dropout was obtained through twelfth grade. Logistic regression was used to identify predictors of dropout. Results. More boys (22.1%) than girls (14.4%) dropped out of school. Compared to students who remained in school, students who dropped out of school reported significantly higher overt and relational peer victimization and lower positive relationships with peers, school connectedness, caring adults at school, and meaningful participation in school. In the logistic regression model, male gender (AOR = 1.68) and relational victimization (AOR = 1.51) increased the odds of dropping out, and school connectedness (AOR = 0.78) and the presence of a caring adult at school (AOR = 0.73) decreased odds of dropping out. Conclusion. The dimensions of school climate in tenth grade were associated with the decision to abandon or persist in school. Its multiple dimensions can guide educators to develop programs and practices to reduce high school dropout.

Prevalence and predictors of treatment dropout from physical activity interventions in schizophrenia: a meta-analysis

Physical activity interventions have been shown to improve the health of people with schizophrenia, yet treatment dropout poses an important challenge in this population, and rates vary substantially across studies. We conducted a meta-analysis to investigate the prevalence and predictors of treatment dropout in physical activity interventions in people with schizophrenia. We systematically searched major electronic databases from inception until August 2015. Randomized controlled trials of physical activity interventions in people with schizophrenia reporting dropout rates were included. Two independent authors conducted searches and extracted data. Random-effects meta-analysis and meta-regression analyses were conducted. In 19 studies, 594 patients with schizophrenia assigned to exercise interventions were investigated (age=37.2 years, 67.5% male, range=37.5%-100%). Trim and fill adjusted treatment dropout rate was 26.7% [95% confidence interval (CI)=19.7%-35.0%], which is more than double than in nonactive control interventions (odds ratio=2.15, 95% CI=1.29-3.58, P=.003). In the multivariate regression, qualification of the professional delivering the intervention (β=-1.06, 95% CI=-1.77 to -0.35, P=.003) moderated treatment dropout rates, while continuous supervision of physical activity approached statistical significance (P=.05). Qualified professionals (e.g., physical therapists/exercise physiologists) should prescribe supervised physical activity for people with schizophrenia to enhance adherence, improve psychiatric symptoms and reduce the onset and burden of cardiovascular disease.

Predictors of dropout from care among HIV-infected patients initiating antiretroviral therapy at a public sector HIV treatment clinic in sub-Saharan Africa.

BackgroundIn sub-Saharan Africa (SSA), antiretroviral therapy (ART) can prolong life for HIV-infected patients. However, patients initiating ART, especially in routine treatment programs, commonly dropout from care either due to death or loss to follow-up.MethodsIn a cohort of HIV-infected patients initiating ART at a public sector clinic in Uganda, we assessed predictors of dropout from care (a composite outcome combining death and loss to follow-up). From a large set of socio-demographic, clinical, and laboratory variables routinely collected at ART initiation, we selected those predicting dropout at P <0.1 in unadjusted analyses for inclusion into a multivariable proportional hazards regression model. We then used a stepwise backward selection procedure to identify variables which independently predicted dropout at P <0.05.ResultsData from 5,057 patients were analyzed. The median age was 33 years (IQR 28 to 40) and 27.4 % had CD4+ T-cell counts <100 cells/μL at ART initiation. The median duration of follow-up was 24 months (IQR = 14 to 42, maximum follow-up = 64 months). Overall dropout was 26.9 % (established cumulative mortality = 2.3 %, loss to follow-up = 24.6 %), 5.6 % were transferred to other service providers, and 67.5 % were retained in care. A diagnosis of Kaposi’s sarcoma (hazard ratio (HR) = 3.3, 95 % CI 2.5 to 4.5); HIV-associated dementia (HR = 2.6, 95 % CI 1.5 to 4.6); history of cryptococcosis (HR = 2.2, 95 % CI 1.4 to 3.3); and reduced hemoglobin concentration (<11 g/dl versus ≥13.8 g/dl (HR = 1.9, 95 % CI 1.6 to 2.2) were strong predictors of dropout. Other independent predictors of dropout were: year of ART initiation; weight loss ≥10 %; reduced total lymphocyte count; chronic diarrhea; male sex; young age (≤28 years); and marital status.ConclusionsAmong HIV-infected patients initiating ART at a public sector clinic in SSA, biological factors that usually predict death were especially predictive of dropout. As most of the dropouts were lost to follow-up, this observation suggests that many losses to follow-up may have died. Future studies are needed to identify appropriate interventions that may improve both individual-level patient outcomes and outcome ascertainment among HIV-infected ART initiators in this setting.

Does rate of weight regain predict premature discontinuation of treatment during outpatient cognitive-behavioural therapy for eating disorders?

Between 20-51% of eating disorder clients in inpatient settings and 29-73% in outpatient settings prematurely discontinue treatment. Research has attempted to address this problem by identifying the client characteristics upon entering treatment that predict dropout, but this approach has failed to identify consistent predictors of treatment dropout. Processes that occur early in treatment, such as early weight gain, may be important to consider as predictors of treatment dropout. Weight restoration is a primary goal of treatment for anorexia nervosa and may also be important in patients with bulimia nervosa who are weight suppressed. Previous research has explored the optimal rate of weight gain, but to our knowledge, no research has considered rate of weight gain as a predictor of risk for treatment dropout. Using weekly assessments of body mass index, the current research therefore aimed to identify whether a rapid rate of weight gain in the early stages of outpatient cognitive-behavioural therapy for eating disorders (CBT-E) is associated with a greater risk of treatment dropout. Participants were adult clients who entered CBT-E treatment for an eating disorder at an outpatient mental health service in Perth, Western Australia. Results will contribute to knowledge of early indicators of risk for treatment dropout.

Finding modifiable predictors of treatment dropout: the role of the therapeutic alliance, readiness to change and acceptance of treatment approach

Although abundant, research has been unable to identify consistent predictors of dropout from eating disorder treatment. One potential reason for this is the bias towards research into fixed, individual, patient factors (e.g. personality traits and duration of illness). This quantitative study aimed to confirm results of a qualitative study, which suggested that three process factors (therapeutic alliance, readiness to change and acceptance of treatment approach) were important contributors to patients' decision to drop out of treatment. The study involved data from 332 consecutive referrals (98% female) to a public outpatient eating disorder service, who received individual Cognitive Behavioural Therapy between 2005 and 2014. Almost 40% of the sample dropped out of treatment (defined as non-mutual termination). Binary logistic regressions showed that patient ratings on items related to the therapeutic alliance and acceptance of treatment approach (as measured by the Helping Alliance Questionnaire, Credibility / Expectancy Questionnaire, and a measure of the patient's perception of therapist) were significantly associated with treatment dropout. However, readiness to change items, and total questionnaire scores, were not significant predictors. Issues in the measurement and self-report of all of these factors may mask the true relationship between process factors and treatment dropout.

Impact of Educational Level on Study Attrition and Evaluation of Web-Based Computer-Tailored Interventions: Results From Seven Randomized Controlled Trials.

BackgroundWeb-based computer-tailored interventions have shown to be effective in improving health behavior; however, high dropout attrition is a major issue in these interventions.ObjectiveThe aim of this study is to assess whether people with a lower educational level drop out from studies more frequently compared to people with a higher educational level and to what extent this depends on evaluation of these interventions.MethodsData from 7 randomized controlled trials of Web-based computer-tailored interventions were used to investigate dropout rates among participants with different educational levels. To be able to compare higher and lower educated participants, intervention evaluation was assessed by pooling data from these studies. Logistic regression analysis was used to assess whether intervention evaluation predicted dropout at follow-up measurements.ResultsIn 3 studies, we found a higher study dropout attrition rate among participants with a lower educational level, whereas in 2 studies we found that middle educated participants had a higher dropout attrition rate compared to highly educated participants. In 4 studies, no such significant difference was found. Three of 7 studies showed that participants with a lower or middle educational level evaluated the interventions significantly better than highly educated participants (“Alcohol-Everything within the Limit”: F 2,376=5.97, P=.003; “My Healthy Behavior”: F 2,359=5.52, P=.004; “Master Your Breath”: F 2,317=3.17, P=.04). One study found lower intervention evaluation by lower educated participants compared to participants with a middle educational level (“Weight in Balance”: F 2,37=3.17, P=.05). Low evaluation of the interventions was not a significant predictor of dropout at a later follow-up measurement in any of the studies.ConclusionsDropout attrition rates were higher among participants with a lower or middle educational level compared with highly educated participants. Although lower educated participants evaluated the interventions better in approximately half of the studies, evaluation did not predict dropout attrition. Further research is needed to find other explanations for high dropout rates among lower educated participants.

Behavioral predictors of attrition in adolescents participating in a multidisciplinary obesity treatment program: EVASYON study.

The aims of this study were to identify the cognitive and behavioral predictors of dropping out and to estimate the attrition rate during different phases of an intervention program to treat overweight and obesity in adolescents. Overweight/obese adolescents (n=156, aged: 13-16 years; 71 male and 85 female subjects) were included in a multicomponent (diet, physical activity and psychological support) family-based group treatment program. At baseline and after 2 months (intensive phase) and 13 months (extensive phase) of follow-up, we measured adolescents' cognitive and behavioral dimensions, together with the parents' perception of their child's behavior. Of the 156 adolescents selected, 112 completed the full program (drop-out rate of 28.2%). The risk of dropping out during the extensive phase increased by 20% for each unit increase in the adolescent's social insecurity score (odds ratio=1.20, 95% confidence interval=1.07-1.34, P=0.002). The adolescents who had a high interoceptive awareness showed a significant decrease of 13.0% in the probability of dropping out (odds ratio=0.87, 95% confidence interval=0.77-0.99, P=0.040). Adolescents' social insecurity was the main predictor of drop-out in a multicomponent family-group-based obesity treatment program. To reduce attrition rates in these programs, the individual's social insecurity level needs to be reduced, whereas the family's awareness of eating-related behavior needs adjustment.

Multidisciplinary intervention in obese adolescents: predictors of dropout.

Objective To identify biological and psychosocial factors associated with dropout in a multidisciplinary behavioral intervention in obese adolescents.Methods A total of 183 adolescents (15.4±1.6 years), pubertal (Tanner stage 3 or 4) and obese (34.7±4.0kg/m2), were enrolled in a 12-week behavioral intervention, which included clinical consultations (monthly), nutritional and psychological counseling (once a week), and supervised aerobic training (three times/week). The studied variables were weight, height, body mass index, body composition (skinfold), cardiorespiratory fitness (direct gas analysis), blood lipids and self-reported symptoms of eating disorders (bulimia, anorexia and binge eating), anxiety, depression, body image dissatisfaction and quality of life. Statistical analysis included binary logistic regression and independent t-tests.Results Of the adolescents, 73.7% adhered to the program. The greatest chance for dropout was observed among adolescents older than 15 years (odds ratio of 0.40; 95%CI: 0.15-0.98), with more anorexia symptoms (odds ratio of 0.35; 95%CI: 0.14-0.86) and hypercholesterolemia (odds ratio of 0.40; 95%CI: 0.16-0.91) at baseline.Conclusion Older adolescents, with more symptoms of eating disorders and total cholesterol have less chance to adhere to multidisciplinary treatments.

Predictors of Relapse and Dropout During a 12-Week Relapse Prevention Program for Methamphetamine Users

In this research, the possible neuropsychological predictors of relapse and dropout of group cognitive behavioral therapy (CBT) for methamphetamine (MA) users were explored. Participants were 42 MA users sentenced by the judicial system to take part in an out-patient relapse prevention program for MA abuse and dependence that employs a CBT model once a week over the course of 12 weeks. Baseline neuropsychological functions were evaluated with the Conners’ Continuous Performance Test, Wisconsin Card Sorting Test, Iowa Gambling Task, and Barratt Impulsiveness Scale. All participants had to submit to urine drug tests every week. Of the 42 participants, 69.0% had a MA positive urine screening result at least once throughout the program (relapse), while 40.5% dropped out of the treatment program prior to its completion. Short duration of MA abstinence at baseline and poor attention predicted relapse. Predictors of dropout included being unmarried and having risky decision making. Findings may be helpful for clinicians, who can screen for the aforementioned risk factors and provide strategies for high-risk patients to help prevent relapse and dropout among MA users in treatment programs.

Predictors of dropout from internet-based self-help cognitive behavioral therapy for insomnia

Dropout from self-help cognitive-behavioral therapy for insomnia (CBT-I) potentially diminishes therapeutic effect and poses clinical concern. We analyzed the characteristics of subjects who did not complete a 6-week internet-based CBT-I program. Receiver operator characteristics (ROC) analysis was used to identify potential variables and cutoff for predicting dropout among 207 participants with self-report insomnia 3 or more nights per week for at least 3 months randomly assigned to self-help CBT-I with telephone support (n = 103) and self-help CBT-I (n = 104). Seventy-two participants (34.4%) did not complete all 6 sessions, while 42 of the 72 (56.9%) dropped out prior to the fourth session. Significant predictors of non-completion are total sleep time (TST) ≥ 6.82 h, Hospital Anxiety and Depression Scale depression score ≥ 9 and Insomnia Severity Index score < 13 at baseline in this ranking order. Only TST ≥ 5.92 h predicts early dropout. Longer TST and less severe insomnia predict dropout in this study of self-help CBT-I, in contrast to shorter TST as a predictor in 2 studies of face-to-face CBT-I, while greater severity of depression predicts dropout in both this study and a study of face-to-face CBT-I. Strategies for minimizing dropout from internet-based CBT-I are discussed.

Patterns and Predictors of Dropout from Mental Health Treatment in an Asian Population

Studies examining mental health treatment dropout have primarily focused on Western populations and less so on Asian samples. The current study explored the prevalence and correlates of mental health treatment dropout across the various healthcare sectors in Singapore. Data was utilised from the Singapore Mental Health Study (SMHS), a cross-sectional epidemiological survey conducted among an adult population (n = 6616) aged 18 years and above. Statistical analyses were done on a subsample of respondents (n = 55) who had sought treatment from the various treatment providers (i.e. mental health, medical, social services and religious healers) in the past 12 months. The World Mental Health (WMH) Composite International Diagnostic Interview version 3.0 (CIDI 3.0) was used to determine diagnoses of mental disorders, chronic medical disorders and service utilisation. Of those who had received treatment, 37.6% had ended treatment prematurely, 23.2% had completed treatment and 39.2% were still in treatment. The religious and spiritual sector (83.1%) had the highest dropout, followed by the general medical sector (34.6%), mental health services sector (33.9%) and the social services sector (30%). Marital status emerged as the only sociodemographic factor that significantly predicted treatment dropout-with those who were married being significantly less likely to drop out than those who were single. The overall dropout rate across the various healthcare sectors was comparable to past studies. While the small sample size limits the generalisability of findings, the current study provides useful insight into treatment dropout in an Asian population.

Predictors of treatment outcome in individuals with eating disorders: A systematic review and meta-analysis.

Understanding the factors that predict a favourable outcome following specialist treatment for an eating disorder may assist in improving treatment efficacy, and in developing novel interventions. This review and meta-analysis examined predictors of treatment outcome and drop-out. A literature search was conducted to identify research investigating predictors of outcome in individuals treated for an eating disorder. We organized predictors first by statistical type (simple, meditational, and moderational), and then by category. Average weighted mean effect sizes (r) were calculated for each category of predictor. The most robust predictor of outcome at both end of treatment (EoT) and follow-up was the meditational mechanism of greater symptom change early during treatment. Simple baseline predictors associated with better outcomes at both EoT and follow-up included higher BMI, fewer binge/purge behaviors, greater motivation to recover, lower depression, lower shape/weight concern, fewer comorbidities, better interpersonal functioning and fewer familial problems. Drop-out was predicted by more binge/purge behaviors and lower motivation to recover. For most predictors, there was large interstudy variability in effect sizes, and outcomes were operationalized in different ways. There were generally insufficient studies to allow analysis of predictors by eating disorder subtype or treatment type. To ensure that this area continues to develop with robust and clinically relevant findings, future studies should adopt a consistent definition of outcome and continue to examine complex multivariate predictor models. Growth in this area will allow for stronger conclusions to be drawn about the prediction of outcome for specific diagnoses and treatment types.

Missed Opportunities along the Prevention of Mother-to-Child Transmission Services Cascade in South Africa: Uptake, Determinants, and Attributable Risk (the SAPMTCTE).

ObjectivesWe examined uptake of prevention of mother-to-child HIV transmission (PMTCT) services, predictors of missed opportunities, and infant HIV transmission attributable to missed opportunities along the PMTCT cascade across South Africa.MethodsA cross-sectional survey was conducted among 4–8 week old infants receiving first immunisations in 580 nationally representative public health facilities in 2010. This included maternal interviews and testing infants’ dried blood spots for HIV. A weighted analysis was performed to assess uptake of antenatal and perinatal PMTCT services along the PMTCT cascade (namely: maternal HIV testing, CD4 count test/result, and receiving maternal and infant antiretroviral treatment) and predictors of dropout. The population attributable fraction associated with dropouts at each service point are estimated.ResultsOf 9,803 mothers included, 31.7% were HIV-positive as identified by reactive infant antibody tests. Of these 80.4% received some form of maternal and infant antiretroviral treatment. More than a third (34.9%) of mothers dropped out from one or more steps in the PMTCT service cascade. In a multivariable analysis, the following characteristics were associated with increased dropout from the PMTCT cascade: adolescent (<20 years) mothers, low socioeconomic score, low education level, primiparous mothers, delayed first antenatal visit, homebirth, and non-disclosure of HIV status. Adolescent mothers were twice (adjusted odds ratio: 2.2, 95% confidence interval: 1.5–3.3) as likely to be unaware of their HIV-positive status and had a significantly higher rate (85.2%) of unplanned pregnancies compared to adults aged ≥20 years (55.5%, p = 0.0001). A third (33.8%) of infant HIV infections were attributable to dropout in one or more steps in the cascade.ConclusionA third of transmissions attributable to missed opportunities of PMTCT services can be prevented by optimizing the uptake of PMTCT services. Identified risk factors for low PMTCT service uptake should be addressed through health facility and community-level interventions, including raising awareness, promoting women education, adolescent focused interventions, and strengthening linkages/referral-system between communities and health facilities.

The therapeutic alliance and therapist adherence as predictors of dropout from cognitive therapy for depression when combined with antidepressant medication

BackgroundPrevious psychotherapy research has examined the therapeutic alliance and therapist adherence as correlates or predictors of symptom change. While some initial evidence suggests the alliance is associated with risk of dropout in cognitive behavioral treatment for depression, evidence of such relations has been limited to date. We examined the relation of these psychotherapy process variables and dropout in the context of cognitive therapy for depression when provided in combination with pharmacotherapy. MethodsPatients were randomized to the CT plus pharmacotherapy condition of a clinical trial for chronic or recurrent depression. Consistent with the spirit of personalized medicine, patients were treated until they met remission and recovery criteria (or reached the maximum allowable time in the study). In a sample of 176 patients, we examined observer-rated alliance and therapist adherence in the first three CT sessions as potential predictors of treatment dropout. ResultsThe therapeutic alliance and one facet of therapist adherence (i.e., Behavioral Methods/Homework) predicted reduced odds of dropout. Therapist use of Negotiating/Structuring predicted greater likelihood of dropout, but only when other variables were included in the model. LimitationsProcess ratings were not available for concurrent pharmacotherapy sessions. A minority of patients did not have session recordings available. ConclusionsResults are consistent with the possibility that the therapeutic alliance and therapists' focus on homework and behavioral methods promote treatment retention in combined treatment for depression.

Predicting Coaches' Adherence/Dropout: A Prospective Study

The objective of this study was to examine motivational variables based on self-determination theory (SDT) and positive psychology as predictors of coaches' adherence and dropout. A prospective study was performed using a sample of 286 coaches who were tracked over a two-year period. Initially coaches' motivation and psychological need satisfaction were measured; two years later they were contacted and asked if they were still coaching in their original sport. Those who did not were considered as drop-outs for the current study. Logistic binary regression analyses were performed to analyse predictors of persistence and dropout. Need Satisfaction Index (NSI), perceived competence and perceived usefulness were identified as protective factors for coaches' adherence, while amotivation was a risk factor of dropout. The fundamental psychological needs of competence and perceived usefulness were the strongest predictors of adherence. Discussions focused on the SDT-grounded predictive factors of coaches' adherence in order to further understand this phenomenon.