Identifying the association between serum urate levels and gout flares in patients taking urate-lowering therapy: a post hoc cohort analysis of the CARES trial with consideration of dropout.

OBJECTIVE: To investigate gout flare rates based on repeated serum urate (SU) measurements in a randomised controlled trial of urate-lowering therapy (ULT), accounting for dropout and death. METHODS: We performed a secondary analysis using data from Cardiovascular Safety of Febuxostat or Allopurinol in Patients with Gout, which randomised participants to febuxostat or allopurinol, titrated to target SU <6 mg/dL with flare prophylaxis for 6 months. SU was categorised as ≤3.9, 4.0-5.9, 6.0-7.9, 8.0-9.9 or ≥ 10 mg/dL at each 3-6 month follow-up. The primary outcome was gout flare. Poisson regression models, adjusted for covariates and factors related to participant retention versus dropout, estimated gout flare incidence rate ratios by time-varying SU category. RESULTS: Among 6183 participants, the median age was 65 years and 84% were male. Peak gout flare rates for all SU categories were observed in months 0-6, coinciding with the initiation of ULT and months 6-12 after stopping prophylaxis. Flare rates were similar across SU groups in the initial year of ULT. During months 36-72, a dose-response relationship was observed between the SU category and flare rate. Lower flare rates were observed when SU ≤3.9 mg/dL and greater rates when SU ≥10 mg/dL, compared with SU 4.0-5.9 mg/dL (p for trend <0.01). CONCLUSION: Gout flare rates were persistently higher when SU ≥6 mg/dL after the first year of ULT after accounting for censoring. The spike in flares in all categories after stopping prophylaxis suggests a longer duration of prophylaxis may be warranted.

Adherence to Online Interventions for Family Caregivers of People With Dementia: A Meta-Analysis and Systematic Review.

OBJECTIVE: Online interventions hold promise in supporting the well-being of family caregivers and enhancing the quality of care they provide for individuals with long-term or chronic conditions. However, dropout rates from support programs among specific groups of caregivers, such as caregivers of people with dementia, pose a challenge. Focused reviews are needed to provide more accurate insights and estimates in this specific research area. METHODS: A meta-analysis of dropout rates from available online interventions for family caregivers of people with dementia was conducted to assess treatment acceptability. A systematic search yielded 18 studies involving 1,215 caregivers. RESULTS: The overall pooled dropout rate was 18.4%, with notable heterogeneity indicating varied intervention adherence. Interventions incorporating human contact, interactive features, and personalization strategies for specific types and stages of dementia predicted significantly lower dropout rates. Methodological assessment revealed variability in study quality. CONCLUSION: Findings support the effectiveness of social support, personalization strategies, and co-design in enhancing intervention adherence among dementia family caregivers. Further research is needed to explore factors influencing dropout rates and conduct robust trials to refine the implementation of future interventions.

Quantitative Analysis of Factors of Attrition in a Double-blind rTMS Study for Alzheimer Treatment.

Attrition is a particular concern in studies examining the efficacy of a treatment for Alzheimer disease. Analyzing reasons for withdrawal in Alzheimer studies is crucial to ruling out attrition bias, which can undermine a study's validity. In contrast, attrition in studies using repetitive transcranial magnetic stimulation (rTMS) has received much less attention. Our goal was to identify any commonalities between participants who withdrew for the same reasons. Three independent coders rated each response concerning the reasons for withdrawal, and frequency tables were generated to characterize the participants within each category. This study was conducted on the 28 withdrawn cases from a 7-month study investigating the short-term and long-term therapeutic effects of rTMS for Alzheimer disease among 156 participants across 3 sites of the study. Seven reasons for withdrawal were identified, with health and medical changes being the most commonly reported reason (7 participants). Personal issues involving family or caregivers were the next most common (5 participants), and the remaining 5 categories consisted of 3 participants each. Although the limited sample size prevented the use of inferential statistics, our findings highlight the need for more transparent reporting of attrition rates and withdrawal reasons by rTMS researchers.

Correlates of ART attrition among adults under antiretroviral therapy in Southern Ethiopia, retrospective cohort study.

High attrition rates from ART are the primary contributors to morbidity, death, hospitalisation, rising transmission rates, treatment failure, rising burden of opportunistic infections (OIs), and the evolution of HIV-virus resistance (HIVDR). In Sub-Saharan Africa, more than two-thirds of ART patients will not receive continuous care. There is little information about the correlates that contribute to attrition from ART services among ART patients in Southern Ethiopia. Hence, this study aims to identify correlates of attrition from antiretroviral therapy services for adults under antiretroviral therapy at Otona Teaching and Referral Hospital, Wolaita Zone, Southern Ethiopia. From 1 January 2013 to 31 December 2017, a retrospective cohort analysis was performed. The pre-determined 328 medical records were chosen using a simple random sampling technique using computer-generated random numbers. Epi Info version 3.5.3 was used to enter and clean the data, which were then exported to STATA version 11 for analysis. The Cox proportional hazards model, both bivariate and multivariable, was used. Variables with p-values less than 0.25 in bivariate analysis were considered candidates for multivariable analysis, and variables with p-values less than 0.05 were deemed statistically important in multivariable analysis. The intensity of the correlation and statistical significance were determined using the CHR, AHR, and 95 per cent confidence intervals. The magnitude of attrition from ART service was 21.60% (95% CI: 17.10, 26.10). The distance between home and hospital is more than five kilometres (AHR:3.84;95% CI: 1.99,7.38), no registered phone number (AHR:2.47;95%CI:1.32,4.09), have not taken isoniazid prophylaxis (AHR:2.23;95%CI:1.30,4.09), alcohol consumption (AHR: 1.77; 95% CI:1.01, 3.12), and had no caregiver (AHR: 2.11; 95% CI:1.23, 3.60) were statistically significant in the Cox proportional hazard model. Distance between home and hospital, phone number registration on follow-up chart, having a history of alcohol consumption, isoniazid prophylaxis provision, and having family support were independent correlates of attrition from antiretroviral treatment services.

Exploration of the individual and combined effects of predictors of engagement, dropout, and change from digital interventions for recurrent binge eating.

OBJECTIVE: Our ability to predict responsiveness to digital interventions for eating disorders has thus far been poor, potentially for three reasons: (1) there has been a narrow set of predictors explored; (2) prediction has mostly focused on symptom change, ignoring other aspects of the user journey (uptake, early engagement); and (3) there is an excessive focus on the unique effects of predictors rather than the combined contributions of a predictor set. We evaluated the univariate and multivariate effects of outcome predictors in the context of a randomized trial (n = 398) of digitally delivered interventions for recurrent binge eating. METHOD: Thirty baseline variables were selected as predictors, ranging from specific symptoms, to key protective factors, to technological acceptance, and to online treatment attitudes. Outcomes included uptake, early engagement, and remission. Univariate (d) and multivariate (D) standardized mean differences were calculated to estimate the individual and combined effects of predictors, respectively. RESULTS: At the univariate level, few predictors produced an effect size larger than what is considered small (d > .20) across outcomes. However, our multivariate approach enhanced prediction (Ds = .65 to 1.12), producing accuracy rates greater than chance (63%-71% accuracy). Less than half of the chosen variables proved to be useful in contributing to predictions in multivariate models. CONCLUSION: Findings suggest that accuracy in outcome prediction from digitally delivered interventions may be better driven by the aggregation of many small effects rather than one or several largely influential predictors. Replication with different data streams (sensor, neuroimaging) would be useful. PUBLIC SIGNIFICANCE: Our ability to predict who will and will not benefit from digital interventions for eating disorders has been poor. We highlight the viability of a multivariate approach to outcome prediction, whereby prediction may be better driven by the aggregation of many small effects rather than one or a few influential predictors.

The overlap between randomised evaluations of recruitment and retention interventions: An updated review of recruitment (Online Resource for Recruitment in Clinical triAls) and retention (Online Resource for Retention in Clinical triAls) literature.

BACKGROUND: The Online Resource for Recruitment in Clinical triAls (ORRCA) and the Online Resource for Retention in Clinical triAls (ORRCA2) were established to organise and map the literature addressing participant recruitment and retention within clinical research. The two databases are updated on an ongoing basis using separate but parallel systematic reviews. However, recruitment and retention of research participants is widely acknowledged to be interconnected. While interventions aimed at addressing recruitment challenges can impact retention and vice versa, it is not clear how well they are simultaneously considered within methodological research. This study aims to report the recent update of ORRCA and ORRCA2 with a special emphasis on assessing crossover of the databases and how frequently randomised studies of methodological interventions measure the impact on both recruitment and retention outcomes. METHODS: Two parallel systematic reviews were conducted in line with previously reported methods updating ORRCA (recruitment) and ORRCA2 (retention) with publications from 2018 and 2019. Articles were categorised according to their evidence type (randomised evaluation, non-randomised evaluation, application and observation) and against the recruitment and retention domain frameworks. Articles categorised as randomised evaluations were compared to identify studies appearing in both databases. For randomised studies that were only in one database, domain categories were used to assess whether the methodological intervention was likely to impact on the alternate construct. For example, whether a recruitment intervention might also impact retention. RESULTS: In total, 806 of 17,767 articles screened for the recruitment database and 175 of 18,656 articles screened for the retention database were added as result of the update. Of these, 89 articles were classified as 'randomised evaluation', of which 6 were systematic reviews and 83 were randomised evaluations of methodological interventions. Ten of the randomised studies assessed recruitment and retention and were included in both databases. Of the randomised studies only in the recruitment database, 48/55 (87%) assessed the content or format of participant information which could have an impact on retention. Of the randomised studies only in the retention database, 6/18 (33%) assessed monetary incentives, 4/18 (22%) assessed data collection location and methods and 3/18 (17%) assessed non-monetary incentives, all of which could have an impact on recruitment. CONCLUSION: Only a small proportion of randomised studies of methodological interventions assessed the impact on both recruitment and retention despite having a potential impact on both outcomes. Where possible, an integrated approach analysing both constructs should be the new standard for these types of evaluations to ensure that improvements to recruitment are not at the expense of retention and vice versa.

Dropout From Exercise Interventions in Adults With Fibromyalgia: A Systematic Review and Meta-analysis.

OBJECTIVE: To meta-analyze the prevalence and predictors of dropout rates among adults with fibromyalgia participating in exercise randomized controlled trials (RCTs). DATA SOURCES: Two authors searched Embase, CINAHL, PsycARTICLES, and Medline up to 01/21/2023. STUDY SELECTION: We included RCTs of exercise interventions in people with fibromyalgia that reported dropout rates. DATA EXTRACTION: Dropout rates from exercise and control conditions and exerciser/participant, provider, and design/implementation related predictors. DATA SYNTHESIS: A random effects meta-analysis and meta-regression were conducted. In total, 89 RCTs involving 122 exercise arms in 3.702 people with fibromyalgia were included. The trim-and-fill-adjusted prevalence of dropout across all RCTs was 19.2% (95% CI=16.9%-21.8%), which is comparable with the dropout observed in control conditions with the trim-and-fill-adjusted odds ratio being 0.31 (95% CI=0.92-1.86, P=.44). Body mass index (R2=0.16, P=.03) and higher effect of illness (R2=0.20, P=.02) predicted higher dropout. The lowest dropout was observed in exergaming, compared with other exercise types (P=.014), and in lower-intensity exercises, compared with high intensity exercise (P=.03). No differences in dropout were observed for the frequency or duration of the exercise intervention. Continuous supervision by an exercise expert (eg, physiotherapist) resulted in the lowest dropout rates (P<.001). CONCLUSIONS: Exercise dropout in RCTs is comparable with control conditions, suggesting that exercise is a feasible and accepted treatment modality; however, interventions are ideally supervised by an expert (eg, physiotherapist) to minimize the risk of dropout. Experts should consider a high BMI and the effect of the illness as risk factors for dropout.

Rate and reasons for peritoneal dialysis dropout following haemodialysis to peritoneal dialysis switch: a systematic review and meta-analysis.

BACKGROUND: Patient experiences and survival outcomes can be influenced by the circumstances related to dialysis initiation and subsequent modality choices. This systematic review and meta-analysis aimed to explore the rate and reasons for peritoneal dialysis (PD) dropout following haemodialysis (HD) to PD switch. METHOD: This systematic review conducted searches in four databases, including Medline, PubMed, Embase, and Cochrane. The protocol was registered on PROSPERO (study ID: CRD42023405718). Outcomes included factors leading to the switch from HD to PD, the rate and reasons for PD dropout and mortality difference in two groups (PD first group versus HD to PD group). The Critical Appraisal Skills Programme (CASP) checklist and the GRADE tool were used to assess quality. RESULTS: 4971 papers were detected, and 13 studies were included. On meta-analysis, there was no statistically significant difference in PD dropout in the PD first group (OR: 0.81; 95%CI: 0.61, 1.09; I2 = 83%; P = 0.16), however, there was a statistically significant reduction in the rate of mortality (OR: 0.48; 95%CI: 0.25, 0.92; I2 = 73%; P = 0.03) compared to the HD to PD group. The primary reasons for HD to PD switch, included vascular access failure, patient preference, social issues, and cardiovascular disease. Causes for PD dropout differed between the two groups, but inadequate dialysis and peritonitis were the main reasons for PD dropout in both groups. CONCLUSION: Compared to the PD first group, a previous HD history may not impact PD dropout rates for patients, but it could impact mortality in the HD to PD group. The reasons for PD dropout differed between the two groups, with no statistical differences. Psychosocial reasons for PD dropout are valuable to further research. Additionally, establishing a consensus on the definition of PD dropout is crucial for future studies.

Interpersonal sensitivity predicts slower change and less change in anxiety symptoms in cognitive behavioural therapy.

OBJECTIVES: Patients in cognitive behavioural therapy (CBT) who are high in interpersonal sensitivity may have difficulty fully engaging in treatment because therapy sessions require intimate interpersonal interactions that are especially uncomfortable for these individuals. The current study tests the hypotheses that patients who are high in interpersonal sensitivity benefit less from CBT for symptoms of depression and anxiety, show a slower rate of change in those symptoms, and are more likely to drop out of treatment. METHODS: Participants were 832 outpatients who received naturalistic CBT. We assessed interpersonal sensitivity before treatment began and depression and anxiety symptoms at every therapy session. We assessed early, premature, and uncollaborative termination after treatment ended. We constructed multilevel linear regression models and logistic regression models to assess the effects of baseline interpersonal sensitivity on the treatment outcome, the slope of change in depression and anxiety symptoms, and each type of dropout. RESULTS: Higher baseline interpersonal sensitivity was associated with a slower rate of change and less overall change in anxiety but not depressive symptoms. Baseline interpersonal sensitivity was not a predictor of dropout. CONCLUSIONS: Interpersonal sensitivity at baseline predicts less change and a slower rate of change in anxiety symptoms. Early detection of elevated interpersonal sensitivity can help therapists take action to address these barriers to successful treatment and help scientists build decision support tools that accurately predict the trajectory of change in anxiety symptoms for these patients.

No medication prescription and residential distance from the hospital are important factors associated with nonsurgical weight-loss treatment discontinuance in Japanese patients with high-degree obesity: a retrospective study.

BACKGROUND: Although the percentage of the population with a high degree of obesity (body mass index [BMI] ≥ 35 kg/m2) is low in Japan, the prevalence of obesity-related diseases in patients with high-degree obesity is greater than that in patients with a BMI < 35 kg/m2. Therefore, treatment for high-degree obesity is important. However, clinical studies have reported that 20-50% of patients with obesity discontinue weight-loss treatment in other countries. The circumstances surrounding antiobesity agents are quite different between Japan and other countries. In this study, we investigated the predictors of treatment discontinuation in Japanese patients with high-degree obesity. METHODS: We retrospectively reviewed the medical charts of 271 Japanese patients with high-degree obesity who presented at Toho University Sakura Medical Center for obesity treatment between April 1, 2014, and December 31, 2017. The patients were divided into non-dropout and dropout groups. Patients who discontinued weight-loss treatment within 24 months of the first visit were defined as "dropouts." Multivariate Cox proportional hazards regression analysis and Kaplan-Meier survival analysis were performed to examine the factors predicting treatment withdrawal. RESULTS: Among the 271 patients, 119 (43.9%) discontinued treatment within 24 months of the first visit. The decrease in BMI did not significantly differ between the two groups. No prescription of medication and residential distance from the hospital exceeding 15 km were the top contributors to treatment discontinuation, and the absence of prescription medication was the most important factor. The dropout-free rate was significantly higher in patients with medication prescriptions than in those without and in patients who lived within 15 km of the hospital than in those who lived farther than 15 km from the hospital. CONCLUSIONS: No medication prescription and longer residential distance from the hospital were associated with treatment dropout in Japanese patients with high-degree obesity; therefore, the addition of antiobesity medications and telemedicine may be necessary to prevent treatment discontinuation in such patients.

Attrition in Conversational Agent-Delivered Mental Health Interventions: Systematic Review and Meta-Analysis.

BACKGROUND: Conversational agents (CAs) or chatbots are computer programs that mimic human conversation. They have the potential to improve access to mental health interventions through automated, scalable, and personalized delivery of psychotherapeutic content. However, digital health interventions, including those delivered by CAs, often have high attrition rates. Identifying the factors associated with attrition is critical to improving future clinical trials. OBJECTIVE: This review aims to estimate the overall and differential rates of attrition in CA-delivered mental health interventions (CA interventions), evaluate the impact of study design and intervention-related aspects on attrition, and describe study design features aimed at reducing or mitigating study attrition. METHODS: We searched PubMed, Embase (Ovid), PsycINFO (Ovid), Cochrane Central Register of Controlled Trials, and Web of Science, and conducted a gray literature search on Google Scholar in June 2022. We included randomized controlled trials that compared CA interventions against control groups and excluded studies that lasted for 1 session only and used Wizard of Oz interventions. We also assessed the risk of bias in the included studies using the Cochrane Risk of Bias Tool 2.0. Random-effects proportional meta-analysis was applied to calculate the pooled dropout rates in the intervention groups. Random-effects meta-analysis was used to compare the attrition rate in the intervention groups with that in the control groups. We used a narrative review to summarize the findings. RESULTS: The systematic search retrieved 4566 records from peer-reviewed databases and citation searches, of which 41 (0.90%) randomized controlled trials met the inclusion criteria. The meta-analytic overall attrition rate in the intervention group was 21.84% (95% CI 16.74%-27.36%; I2=94%). Short-term studies that lasted ≤8 weeks showed a lower attrition rate (18.05%, 95% CI 9.91%- 27.76%; I2=94.6%) than long-term studies that lasted >8 weeks (26.59%, 95% CI 20.09%-33.63%; I2=93.89%). Intervention group participants were more likely to attrit than control group participants for short-term (log odds ratio 1.22, 95% CI 0.99-1.50; I2=21.89%) and long-term studies (log odds ratio 1.33, 95% CI 1.08-1.65; I2=49.43%). Intervention-related characteristics associated with higher attrition include stand-alone CA interventions without human support, not having a symptom tracker feature, no visual representation of the CA, and comparing CA interventions with waitlist controls. No participant-level factor reliably predicted attrition. CONCLUSIONS: Our results indicated that approximately one-fifth of the participants will drop out from CA interventions in short-term studies. High heterogeneities made it difficult to generalize the findings. Our results suggested that future CA interventions should adopt a blended design with human support, use symptom tracking, compare CA intervention groups against active controls rather than waitlist controls, and include a visual representation of the CA to reduce the attrition rate. TRIAL REGISTRATION: PROSPERO International Prospective Register of Systematic Reviews CRD42022341415; https://www.crd.york.ac.uk/prospero/display_record.php?ID=CRD42022341415.

Framework Development for Reducing Attrition in Digital Dietary Interventions: Systematic Review and Thematic Synthesis.

BACKGROUND: Dietary behaviors significantly influence health outcomes across populations. Unhealthy diets are linked to serious diseases and substantial economic burdens, contributing to approximately 11 million deaths and significant disability-adjusted life years annually. Digital dietary interventions offer accessible solutions to improve dietary behaviors. However, attrition, defined as participant dropout before intervention completion, is a major challenge, with rates as high as 75%-99%. High attrition compromises intervention validity and reliability and exacerbates health disparities, highlighting the need to understand and address its causes. OBJECTIVE: This study systematically reviews the literature on attrition in digital dietary interventions to identify the underlying causes, propose potential solutions, and integrate these findings with behavior theory concepts to develop a comprehensive theoretical framework. This framework aims to elucidate the behavioral mechanisms behind attrition and guide the design and implementation of more effective digital dietary interventions, ultimately reducing attrition rates and mitigating health inequalities. METHODS: We conducted a systematic review, meta-analysis, and thematic synthesis. A comprehensive search across 7 electronic databases (PubMed, MEDLINE, Embase, CENTRAL, Web of Science, CINAHL Plus, and Academic Search Complete) was performed for studies published between 2013 and 2023. Eligibility criteria included original research exploring attrition in digital dietary interventions. Data extraction focused on study characteristics, sample demographics, attrition rates, reasons for attrition, and potential solutions. We followed ENTREQ (Enhancing the Transparency in Reporting the Synthesis of Qualitative Research) and PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines and used RStudio (Posit) for meta-analysis and NVivo for thematic synthesis. RESULTS: Out of the 442 identified studies, 21 met the inclusion criteria. The meta-analysis showed mean attrition rates of 35% for control groups, 38% for intervention groups, and 40% for observational studies, with high heterogeneity (I²=94%-99%) indicating diverse influencing factors. Thematic synthesis identified 15 interconnected themes that align with behavior theory concepts. Based on these themes, the force-resource model was developed to explore the underlying causes of attrition and guide the design and implementation of future interventions from a behavior theory perspective. CONCLUSIONS: High attrition rates are a significant issue in digital dietary interventions. The developed framework conceptualizes attrition through the interaction between the driving force system and the supporting resource system, providing a nuanced understanding of participant attrition, summarized as insufficient motivation and inadequate or poorly matched resources. It underscores the critical necessity for digital dietary interventions to balance motivational components with available resources dynamically. Key recommendations include user-friendly design, behavior-factor activation, literacy training, force-resource matching, social support, personalized adaptation, and dynamic follow-up. Expanding these strategies to a population level can enhance digital health equity. Further empirical validation of the framework is necessary, alongside the development of behavior theory-guided guidelines for digital dietary interventions. TRIAL REGISTRATION: PROSPERO CRD42024512902; https://tinyurl.com/3rjt2df9.

Examining trauma, anxiety, and depression as predictors of dropout from residential treatment for substance use disorders.

Substance use disorders (SUDs) are highly prevalent and have deleterious effects on one's health and well-being. Inpatient treatment for SUDs reduces patient relapse, which subsequently ameliorates these negative effects on the individual and society. Additionally, those who complete treatment are less likely to relapse compared to those who do not complete treatment. Thus, maintaining patient engagement in treatment and reducing the rates of those leaving against medical advice (AMA) is particularly important. Examining the factors and comorbidities that may contribute to treatment dropout has the potential to identify at-risk patients in need of additional individualized intervention. The current study aimed to examine comorbid anxiety, depression, and posttraumatic stress disorder (PTSD) symptoms as predictors of dropout AMA in a residential substance use treatment population. Results showed that patients with social anxiety were more likely to leave treatment AMA, while those with PTSD were more likely to complete treatment. Findings suggest that PTSD-specific treatment, as offered in this facility, may help with patient retention, while group focused therapy may be distressing to those with social anxiety. Clinical implications of this research may include incorporating evidence-based practice for social anxiety early during inpatient treatment to reduce anxiety such that patients may better engage with SUDs treatment.

Examining Ethnoracial Differences in Retention in Evidence-Based Treatments for Posttraumatic Stress Disorder Secondary to Military Sexual Trauma.

Improving and expanding mental health treatment for Veterans who have experienced military sexual trauma (MST) is currently a top priority in Veterans Healthcare Administration. Many of these Veterans develop posttraumatic stress disorder (PTSD), and there is increasing recognition that diversity is a core treatment consideration for Veterans who have experienced trauma. As such, more information is needed concerning the relationship between trauma-focused treatment attrition and ethnoracial identity in Veterans who have experienced MST. This article presents two studies exploring dropout from a Midwestern Department of Veterans Affairs (VA) PTSD clinic in samples of Veterans who experienced MST. These studies aim to reduce this knowledge gap by contrasting Black and White Veterans' retention in trauma-focused care. In Study 1 (n = 141), we examined ethnoracial differences in dropout in a cohort of treatment-seeking Veterans who experienced MST and engaged in cognitive processing therapy (CPT) in a VA specialty PTSD clinic. In Study 2 (n = 109), we explored the same questions related to treatment attrition in a separate cohort of treatment-seeking Veterans who experienced MST and engaged in prolonged exposure (PE) in a VA specialty PTSD clinic. Results from both studies did not indicate ethnoracial differences in attrition rate (for both total sessions and an 8-week minimally adequate care [MAC] window) across evidence-based PTSD treatment. However, it remains important to consider the impact of racial and cultural factors on retention. Future research should aim to recruit a larger racially and ethnically diverse sample to explore possible varying retention outcomes of CPT and PE for MST-related PTSD.

Dropout From Psychological Interventions for Pathological Health Anxiety: A Three-Level Meta-Analysis of Randomized Controlled Trials.

This study aimed to provide the first comprehensive evidence on the prevalence and predictors of dropout in psychological interventions for pathological health anxiety. A database search in Web of Science, EMBASE, PubMed, Scopus, PsycINFO and the Cochrane Central Register of Controlled Trials identified 28 eligible randomized controlled trials (40 intervention conditions; 1783 participants in the intervention condition), published up to 18 June 2024. Three-level meta-analytic results showed a weighted average dropout rate of 9.67% (95% confidence interval [CI] [6.49%, 14.17%]), with dropout equally likely from treatment and control conditions (odds ratio = 1.07, 95% CI [0.80, 1.44]). Moderator analyses indicated no statistically significant effects of study, participant, treatment or therapist characteristics, except for the country of study. These findings suggest that the average dropout rate is relatively low compared with those reported for other mental health conditions and highlight the importance of considering cultural and societal factors when evaluating treatment adherence. Future research should continue to explore the complex and multifaceted factors influencing dropout to improve the design and implementation of psychological interventions for pathological health anxiety.

Predictors and Patterns of Dropout From Psychiatric Treatment Among Trauma-Affected Refugees: A Large Data Pool Analysis.

Dropout from mental health treatment is a substantial hindrance to relevant and effective treatment. Despite the high prevalence of PTSD among refugees, research into their treatment dropout has received limited attention. This study aimed to identify patterns and predictors of treatment dropout versus completion through different treatment stages. The sample included 940 patients with a refugee background undergoing outpatient treatment for PTSD in Denmark. All patients were offered 10 medical doctor sessions and 16-20 psychotherapy sessions. Dropout was analysed in three stages: (1) during the first six MD sessions, (2) during the first eight psychotherapy sessions upon completion of Stage 1, and (3) during psychotherapy sessions 9 to 16. A stepwise multiple regression analysis was conducted for each stage to identify predictors of stage-specific dropout. Counter to expectations, both early dropout and full completion were associated with better symptom outcomes, relative to late-treatment dropout. Key predictors varied by stage, with younger age predicting early dropout, whereas chronic pain and poor Danish proficiency predicted late dropout. Female gender and a clearly articulated motivation for active participation were predictors for full treatment completion. Practical advice is suggested to accommodate at-risk patients and to re-evaluate patient engagement after familiarisation with treatment.

Psychological Assessment in Anorexia Nervosa: A Single Case Study on Predictive Factors of Dropout.

Anorexia nervosa (AN) has the highest mortality rate among psychiatric disorders. Adult AN patients have a chronic history of treatment dropout due to denial of their psychological and physical disease states, which may be connected to defense mechanisms. We developed an assessment protocol to evaluate the psychological functioning of patients undergoing a psychodynamic approach for eating disorders (PAED), aimed at identifying the psychological factors associated with intervention success or dropout. We analyzed the case of an adult patient who quit treatment at the start and discussed her psychological functioning profile. We present the case of a 45-year-old woman with enduring AN, who entered the PAED program at an Italian hospital. In adult AN patients, denial and acting out may have significant impacts on clinic compliance. This hampers establishing a relationship with the clinic and the success of the psychological work aimed at promoting mental awareness and insights into the disorder. This highlights the need to consider which aspects of the initial psychological assessment are predictive of dropout in AN patients.

Reasons for dropouts in a community-based Management Acute Malnutrition (CMAM) program using local foods in the Far North of Cameroon.

INTRODUCTION: The security crisis caused by the Islamic sect Boko Haram, coupled with arid climatic conditions and a context of poverty, has preyed on populations in the far north of Cameroon, exacerbating malnutrition rates among children under five years old. New evidence has shown that many children with moderate acute malnutrition (MAM) can be treated in their communities (CMAM) without having to be admitted to a health center or therapeutic feeding center. The purpose of our study was to identify factors that may lead to beneficiary dropout in a CMAM program in four health districts in the far north of Cameroon. METHODS: A retrospective descriptive study of children who exited the CMAM program as lost to follow-up. Trained CHWs interviewed mothers in the households of children identified as lost to follow-up in the CMAM program using a questionnaire. The data were analyzed using STATA software. The confidence interval used was 95% and a P-value of 5%. RESULTS: Seven hundred and ten children were identified as being lost to the CMAM program, 686 of whom were present in the households during the interviews. Boys were 40.20%; girls 59.79% and the median age was 19 months. In the post-CMAM period, boys (OR=0.64; p=0.018); children in Moulvoudaye health district (OR=0.32; p=0.0025), and households with ≥10 people were at lower risk of MAM. The risk of being MAM was higher in households located 6-10 km and -=10km from a health facility (OR=4.21, +0.0001). Vitamin A Supplementation (OR=0.37; p=0.0131) and dietary diversity (OR=0.60; p=0.0773) protected children from MAM. The main reasons for dropping out of the CMAM program cited by parents were that health personnel and CHWs had declared and discharged the child as cured (44.4%); mothers received information that the project was over (17.54%); and mothers had traveled (10.2%). Other reasons: parents not keeping appointments (4.5%); children not responding to treatment (4.8%); shortage of food supplies (3.1%); and the long distance between the distribution site and the household (5.6%) etc. Conclusion: Several children were discharged as dropouts while they were still active. These included discharge errors and those due to the end of the project. Distance, stock shortages, failure to keep appointments, parental relocation, and illnesses in children were all reasons for the high dropout rate. We recommend strengthening the quality of training for health personnel and CHWs on the CMAM protocol before implementation.

Low-Dose Edoxaban in Very Elderly Patients with Atrial Fibrillation.

BACKGROUND: Implementation of appropriate oral anticoagulant treatment for the prevention of stroke in very elderly patients with atrial fibrillation is challenging because of concerns regarding bleeding. METHODS: We conducted a phase 3, multicenter, randomized, double-blind, placebo-controlled, event-driven trial to compare a once-daily 15-mg dose of edoxaban with placebo in elderly Japanese patients (≥80 years of age) with nonvalvular atrial fibrillation who were not considered to be appropriate candidates for oral anticoagulant therapy at doses approved for stroke prevention. The primary efficacy end point was the composite of stroke or systemic embolism, and the primary safety end point was major bleeding according to the definition of the International Society on Thrombosis and Haemostasis. RESULTS: A total of 984 patients were randomly assigned in a 1:1 ratio to receive a daily dose of 15 mg of edoxaban (492 patients) or placebo (492 patients). A total of 681 patients completed the trial, and 303 discontinued (158 withdrew, 135 died, and 10 had other reasons); the numbers of patients who discontinued the trial were similar in the two groups. The annualized rate of stroke or systemic embolism was 2.3% in the edoxaban group and 6.7% in the placebo group (hazard ratio, 0.34; 95% confidence interval [CI], 0.19 to 0.61; P<0.001), and the annualized rate of major bleeding was 3.3% in the edoxaban group and 1.8% in the placebo group (hazard ratio, 1.87; 95% CI, 0.90 to 3.89; P = 0.09). There were substantially more events of gastrointestinal bleeding in the edoxaban group than in the placebo group. There was no substantial between-group difference in death from any cause (9.9% in the edoxaban group and 10.2% in the placebo group; hazard ratio, 0.97; 95% CI, 0.69 to 1.36). CONCLUSIONS: In very elderly Japanese patients with nonvalvular atrial fibrillation who were not appropriate candidates for standard doses of oral anticoagulants, a once-daily 15-mg dose of edoxaban was superior to placebo in preventing stroke or systemic embolism and did not result in a significantly higher incidence of major bleeding than placebo. (Funded by Daiichi Sankyo; ELDERCARE-AF ClinicalTrials.gov number, NCT02801669.).

Absconding among admitted patients with bipolar affective disorder diagnosis in Uganda.

BACKGROUND: Hospitalization is often necessary for individuals with Bipolar affective Disorder (BAD) during severe manic or depressive episodes, as well as for stabilizing treatment regimens. However, a significant proportion of patients admitted for treatment of BAD abscond or leave the hospital without permission during their stay. In addition, patients managed for BAD may have unique characteristics that might force them into absconding. For example, the high prevalence of co-morbid substance use disorder - craving to use substances, suicidal behaviors - attempts to die by suicide, and cluster B personality disorders - characterized by impulsive acts. It is, therefore, essential to understand the factors contributing to absconding among patients with BAD, to facilitate designing strategies for preventing and managing this behavior. METHOD: This study was based on a retrospective chart review of the inpatients diagnosed with BAD at a tertiary psychiatry facility in Uganda from January 2018 to December 2021. RESULTS: Approximately 7.8% of those with BAD absconded from the hospital. The likelihood of absconding among those with BAD increased with the use of cannabis [adjusted odds ratio (aOR) = 4.00, 95% confidence interval (CI) = 1.22-13.09, p-value = 0.022] and having mood lability [aOR = 2.15, 95% CI = 1.10-4.21, p-value = 0.025]. However, receiving psychotherapy during the admission (aOR = 0.44, 95 CI = 0.26-0.74, p-value = 0.002) and treatment with haloperidol (aOR = 0.39, 95% CI = 0.18-0.83, p-value = 0.014) reduced the likelihood of absconding. CONCLUSION: Absconding among patients with BAD is common in Uganda. Those with symptoms of affective lability and those with comorbid cannabis use tend to abscond more, while those who receive haloperidol and psychotherapy are less likely to abscond.