Reasons for disengagement from antiretroviral care in the era of "Treat All" in low- or middle-income countries: a systematic review.

INTRODUCTION: Disengagement from antiretroviral therapy (ART) care is an important reason why people living with HIV do not achieve viral load suppression become unwell. METHODS: We searched two databases and conference abstracts from January 2015 to December 2022 for studies which reported reasons for disengagement from ART care. We included quantitative (mainly surveys) and qualitative (in-depth interviews or focus groups) studies conducted after "treat all" or "Option B+" policy adoption. We used an inductive approach to categorize reasons: we report how often reasons were reported in studies and developed a conceptual framework for reasons. RESULTS: We identified 21 studies which reported reasons for disengaging from ART care in the "Treat All" era, mostly in African countries: six studies in the general population of persons living with HIV, nine in pregnant or postpartum women and six in selected populations (one each in people who use drugs, isolated indigenous communities, men, women, adolescents and men who have sex with men). Reasons reported were: side effects or other antiretroviral tablet issues (15 studies); lack of perceived benefit of ART (13 studies); psychological, mental health or drug use (13 studies); concerns about stigma or confidentiality (14 studies); lack of social or family support (12 studies); socio-economic reasons (16 studies); health facility-related reasons (11 studies); and acute proximal events such as unexpected mobility (12 studies). The most common reasons for disengagement were unexpected events, socio-economic reasons, ART side effects or lack of perceived benefit of ART. Conceptually, studies described underlying vulnerability factors (individual, interpersonal, structural and healthcare) but that often unexpected proximal events (e.g. unanticipated mobility) acted as the trigger for disengagement to occur. DISCUSSION: People disengage from ART care for individual, interpersonal, structural and healthcare reasons, and these reasons overlap and interact with each other. While HIV programmes cannot predict and address all events that may lead to disengagement, an approach that recognizes that such shocks will happen could help. CONCLUSIONS: Health services should focus on ways to encourage clients to engage with care by making ART services welcoming, person-centred and more flexible alongside offering adherence interventions, such as counselling and peer support.

Symptoms of emotional disorders and sociodemographic factors as moderators of dropout in psychological treatment: A meta-review

Objective: Dropout from psychological treatment is an important problem that substantially limits treatment effectiveness. A better understanding of this phenomenon, could help to minimize it. Therefore, we performed a systematic review of meta-analyses (MA) on dropout from psychological treatments to (1) determine the estimated overall dropout rate (DR) and (2) to examine potential predictors of dropout, including clinical symptoms (anxiety and depression) and sociodemographic factors. Method: A literature search of the PubMed PsycINFO, Embase, Scopus and Google Scholar databases was conducted. We identified 196 MAs on dropout from psychological treatment carried out primarily in adult patients or mixed samples (adults and children) between 1990 and 2022. Of these, 12 met all inclusion criteria. Two forest plots were created to visualize the DR and the relationship between DR and the disorder. Results: The DR ranged from 15.9% to 46.8% and was significantly moderated by symptoms of emotional disorders. The highest DR were observed in younger, unmarried patients, and those with lower educational and income levels. Conclusions: DR in patients undergoing psychological treatment is highly heterogeneous, but higher in individuals presenting symptoms of anxiety and/or depression, especially the latter. Given that high DR undermine the effectiveness of psychological interventions, it is clear that greater efforts are needed to reduce dropout, particularly among individuals with symptoms of emotional disorders. (AU)

Abandono de la terapia antirretroviral entre adolescentes y jóvenes con VIH/SIDA durante el COVID-19: un estudio de casos y controles / Antiretroviral therapy abandonment among adolescents and young people with HIV/AIDS during COVID-19: A case-control study / Abandono da terapia antirretroviral entre adolescentes e jovens com HIV/aids durante a COVID-19: estudo caso-controle

Objetivo: identificar los factores asociados al abandono de la terapia antirretroviral entre adolescentes y jóvenes que vivían con VIH/sida durante la pandemia de COVID-19. Método: estudio de casos y controles realizado entre 2020 y 2021 en Maringá, Paraná. Los casos fueron: adolescentes y jóvenes (10 a 24 años) diagnosticados con VIH/sida y que abandonaron el tratamiento, mientras que el grupo de controles fue compuesto por personas con características sociodemográficas semejantes, diagnosticadas con VIH/sida, sin historia de abandono del tratamiento. El emparejamiento de casos y controles se hizo por conveniencia, con cuatro controles por cada caso. El instrumento de investigación presentó variables sociodemográficas y clínicas, entre otras y la asociación con el abandono del tratamiento se analizó por regresión logística. Resultados: se incluyeron 27 casos y 109 controles en el estudio (proporción 1/4). La variable asociada con mayor probabilidad de abandono fue la edad próxima a 22,8 años (ORaj:1,47; IC 95%:1,07-2,13; p=0,024). El uso esporádico del preservativo (ORaj:0,22; IC 95%:0,07-0,59; p=0,003) y padecer una infección oportunista (OR:0,31; IC 95%:0,10-0,90; p=0,030) fueron factores protectores. Conclusión: la edad próxima a los 23 años en la última visita se asoció al abandono de la terapia antirretroviral. La presencia de infección oportunista y el uso de preservativos son factores determinantes para la continuidad del tratamiento durante el COVID-19.

Objective: to identify the factors associated with antiretroviral therapy abandonment among adolescents and young people living with HIV/AIDS during the COVID-19 pandemic. Method: a case-control study carried out between 2020 and 2021 in Maringá, Paraná. The cases corresponded to the following: adolescents and young people (aged from 10 to 24 years old) diagnosed with HIV/AIDS and who abandoned treatment, while the Control Group consisted of people with similar sociodemographic characteristics, diagnosed with HIV/AIDS and with no history of treatment abandonment. Pairing of the cases and controls was by convenience, with four controls for each case. The research instrument presented sociodemographic variables, clinical characteristics and others, whose association with treatment abandonment was analyzed by means of logistic regression. Results: a total of 27 cases and 109 controls were included in the study (1/4 ratio). The variable associated with an increased chance of abandonment was age close to 22.8 years old (ORadj: 1.47; 95% CI: 1.07-2.13; p=0.024). Sporadic condom use (ORadj: 0.22; 95% CI: 0.07-0.59; p=0.003) and having an opportunistic infection (OR: 0.31; 95% CI: 0.10-0.90; p=0.030) were protective factors. Conclusion: age close to 23 years old at the last consultation was associated with antiretroviral therapy abandonment. The presence of opportunistic infections and condom use are determining factors for treatment continuity during COVID-19.

Objetivo: identificar os fatores associados ao abandono da terapia antirretroviral entre adolescentes e jovens vivendo com HIV/aids durante a pandemia de COVID-19. Método: estudo caso-controle realizado entre 2020 e 2021 em Maringá, Paraná. Os casos foram: adolescentes e jovens (10 a 24 anos) diagnosticados com HIV/aids e que abandonaram o tratamento, enquanto o grupo dos controles foi composto por pessoas com características sociodemográficas semelhantes, diagnosticadas com HIV/aids, sem histórico de abandono de tratamento. O pareamento dos casos e controles foi por meio de conveniência, sendo quatro controles para cada caso. O instrumento de pesquisa apresentou variáveis sociodemográficas, características clínicas e outras, cuja associação com o abandono do tratamento foi analisada por meio de regressão logística. Resultados: 27 casos e 109 controles foram incluídos no estudo (proporção 1/4). A variável associada à maior chance de abandono foi idade próxima de 22,8 anos (ORaj.:1,47; IC95%:1,07-2,13; p=0,024). O uso esporádico de preservativo (ORaj:0,22; IC95%:0,07-0,59; p=0,003) e ter infecção oportunista (OR:0,31; IC95%:0,10-0,90; p=0,030) foram fatores de proteção. Conclusão: idade próxima a 23 anos na última consulta foi associada ao abandono da terapia antirretroviral. A presença de infecção oportunista e o uso de preservativo são fatores determinantes para continuidade do tratamento durante a COVID-19.

Predicting the drop out from the maternal, newborn and child healthcare continuum in three East African Community countries: application of machine learning models.

BACKGROUND: For optimal health, the maternal, newborn, and child healthcare (MNCH) continuum necessitates that the mother/child receive the full package of antenatal, intrapartum, and postnatal care. In sub-Saharan Africa, dropping out from the MNCH continuum remains a challenge. Using machine learning, the study sought to forecast the MNCH continuum drop out and determine important predictors in three East African Community (EAC) countries. METHODS: The study utilised Demographic Health Surveys data from the Democratic Republic of Congo (DRC) (2013/14), Kenya (2014) and Tanzania (2015/16). STATA 17 was used to perform the multivariate logistic regression. Python 3.0 was used to build five machine learning classification models namely the Logistic Regression, Random Forest, Decision Tree, Support Vector Machine and Artificial Neural Network. Performance of the models was assessed using Accuracy, Precision, Recall, Specificity, F1 score and area under the Receiver Operating Characteristics (AUROC). RESULTS: The prevalence of the drop out from the MNCH continuum was 91.0% in the DRC, 72.4% in Kenya and 93.6% in Tanzania. Living in the rural areas significantly increased the odds of dropping out from the MNCH continuum in the DRC (AOR:1.76;95%CI:1.30-2.38), Kenya (AOR:1.23;95%CI:1.03-1.47) and Tanzania (AOR:1.41;95%CI:1.01-1.97). Lower maternal education also conferred a significant increase in the DRC (AOR:2.16;95%CI:1.67-2.79), Kenya (AOR:1.56;95%CI:1.30-1.84) and Tanzania (AOR:1.70;95%CI:1.24-2.34). Non exposure to mass media also conferred a significant positive influence in the DRC (AOR:1.49;95%CI:1.15-1.95), Kenya (AOR:1.46;95%CI:1.19-1.80) and Tanzania (AOR:1.65;95%CI:1.13-2.40). The Random Forest exhibited superior predictive accuracy (Accuracy = 75.7%, Precision = 79.1%, Recall = 92.1%, Specificity = 51.6%, F1 score = 85.1%, AUROC = 70%). The top four predictors with the greatest influence were household wealth, place of residence, maternal education and exposure to mass media. CONCLUSIONS: The MNCH continuum dropout rate is very high in the EAC countries. Maternal education, place of residence, and mass media exposure were common contributing factors to the drop out from MNCH continuum. The Random Forest had the highest predictive accuracy. Household wealth, place of residence, maternal education and exposure to mass media were ranked among the top four features with significant influence. The findings of this study can be used to support evidence-based decisions in MNCH interventions and to develop web-based services to improve continuity of care retention.

The impact of a preanesthesia assessment clinic on scheduled elective case cancelations at a Thai university hospital.

Elective surgical case cancelations negatively impact healthcare systems and patient dissatisfaction. Preanesthesia assessment clinics (PACs) have been established in many countries to facilitate preoperative medical optimization. However, their benefits for elective procedure cancelations in Thailand have not been formally assessed. This study evaluated the impact of a PAC on scheduled elective surgical case cancelations at a Thai university hospital. A retrospective cross-sectional study was conducted for the period covering from May 2016 to April 2017. We included all scheduled elective surgical cases at Siriraj Hospital, Thailand, canceled on the day of surgery. The cancelation incidences of patients attending and not attending the PAC were compared. Cancellation reasons were categorized as "patient issue," "hospital-facility issue," "surgeon issue," "anesthesiologist issue," "medical condition," and "miscellaneous." The PAC patients' reasons were rigorously explored to determine their preventability. There were 30,351 scheduled elective procedures during the study period. The case-cancelation incidences were 0.9% (95% confidence interval [CI], 0.7-1.2%) for patients visiting the PAC and 5.9% (95% CI, 5.6-6.3%) for those who did not. Medical conditions were the most common reason for cancelation for non-PAC patients (27.3%), whereas hospital-facility issues were the most frequent for PAC patients (43.8%). The cancelation rate for patient issues was significantly lower in the PAC group (4.2% vs 20.7%; P < .05). Thirty-one (64.6%) of the PAC patients' cancelations were potentially preventable. Of the 15 PAC patient cancelations related to medical conditions, 12 were for patients with a history of acute illness and were determined to be nonpreventable. Visiting the PAC was significantly associated with a decreased elective-case cancelation rate. Cancellations were most frequently related to hospital-facility issues for patients visiting the PAC and medical conditions for those who did not. Some PAC patient cancelations for medical conditions involved unpreventable acute patient illnesses. Clinical Trials.gov (NCT02816281).

Attrition rate and predictors of a monitoring mHealth application in adolescents with obesity.

BACKGROUND: Integrating mobile health (mHealth) into paediatric obesity treatment can provide opportunities for more personalized and lifetime treatment. However, high attrition rates pose a significant challenge. The current study attempts to better understand attrition by exploring (1) attrition rates of a monitoring mHealth application for usage over 14 days and (2) testing predictors of attrition in adolescents with obesity. METHODS: Participants were 69 adolescents between 12 and 16 years old who engaged in a multidisciplinary obesity treatment centre (either outpatient or inpatient) in two countries (Belgium and France). To assess the attrition rates, frequency distributions were used. To test the predictors of attrition, zero-inflated negative binomial regression was performed. RESULTS: Attrition rates were high, in the outpatient group, more than half of the participants (53.3%) used the app for only 0-7 days. In the inpatient group, this percentage was 24.1%. Only deficits in initiating (a component of executive functions) were a negative predictor of attrition, indicating that deficits in initiating lead to lower attrition rates. CONCLUSIONS: This study provides evidence for high attrition rates in mHealth interventions for adolescents with obesity and was the first to investigate psychological predictors of attrition to an mHealth monitoring tool in adolescents with obesity in treatment. Findings regarding predictors of attrition should be approached with caution due to the small sample size.

Closing the health gap in Central Australia: reduction in Indigenous Australian inpatient self-discharge rates following routine collaboration with Aboriginal Health Workers.

BACKGROUND: Indigenous Australians experience significant socioeconomic disadvantage and healthcare disparity compared to non-Indigenous Australians. A retrospective cohort study to describe the association between rates of self-discharge in Indigenous orthopaedic patients and the introduction of routine Aboriginal Liaison Officers (ALO) within the Orthopaedic multi-disciplinary team (MDT) was performed. METHODS: ALO were introduced within our routine Orthopaedic MDT on the 22nd of February 2021. Two patient cohorts were analysed, Group 1; patients admitted in the 9-months prior to inclusion of ALO, and Group 2; patients admitted within 9-months thereafter. The primary outcome of interest was the rate of self-discharge among Indigenous patients. Secondary outcomes of interest were the stage of treatment when patients self-discharged, recurrent self-discharge, risk factors for self-discharge and association between self-discharge and length of hospital stay. RESULTS: Introduction of ALO within routine Orthopaedic MDT was associated with a significant 37% reduced risk of self-discharge among Indigenous patients (p = 0·009), and significantly fewer self-discharges before their definitive surgical and medical treatment (p = 0·0024), or before completion of postoperative intravenous antibiotic treatment (p = 0·030). There was no significant change in the risk of recurrent self-discharge (p = 0·557). Risk factors for self-discharge were younger age; pensioners or unemployed; residents of Alice Springs Town-Camps or of communities within 51 to 100 km of Alice Springs; and those diagnosed with lacerations of the upper limb, but without tendon injury, wound and soft tissue infections or osteomyelitis. In Group 2, the odds of self-discharge decreased with increased length of hospital stay (p = 0·040). CONCLUSIONS: Routine inclusion of ALO within the Orthopaedic MDT reduced the risk of self-discharge in Indigenous patients. Those who self-discharged did so only after critical aspects of their care were met.

An assessment of the effectiveness of an electronic wristband in improving routine immunization timeliness and reducing drop-out.

BACKGROUND: To assess the effectiveness of a wristband for immunization alert (WIA) as a reminder device to caregivers to improve immunization timeliness and reduce drop-outs. METHODS: Eight health facilities, selected from two local government areas in Kano state, Northwestern Nigeria, were clustered in a two-arm study involving an intervention group and a control group. Only the caregivers (757) from the intervention group received WIA as an immunization reminder device. Immunization timeliness data were then collected from the control and intervention groups for the period of intervention and analyzed using Microsoft Excel and IBM SPSS version 21. RESULTS: A cohort analysis of caregivers who received WIA at their second visit showed an increase in immunization timeliness from 10% at the second visit to 86% at the third visit and maintained at 66% for the fifth visit. A difference-in-difference analysis of the effect of WIA on immunization timeliness from baseline to end-line in the control and intervention groups showed a positive 30% increase in immunization timeliness associated with the introduction of WIA. INTERPRETATION: Given that immunization timeliness and drop-outs are reported issues of concern in Northwestern Nigeria, the use of the WIA device is a recommended intervention.

Predictors of psychotherapy dropout in patients with borderline personality disorder: A systematic review.

INTRODUCTION: Borderline personality disorder (BPD) is a highly debilitating psychiatric condition. Despite the expansion of new BPD specific forms of psychotherapy in the last few decades, high dropout rates have been reported in these treatments. Treatment discontinuation is associated with poor patient outcomes, inefficient resource utilization and the demoralization of healthcare providers. METHODS: In order to identify predictors of psychotherapy dropout among patients with BPD, a systematic search of Medline, the Cochrane Library, PsycInfo and PsycArticles was conducted. Studies included were randomized-controlled trials in which patients diagnosed with BPD were exposed to a therapeutic intervention consisted of an evidence-based psychotherapy. The quality of evidence in the studies was assessed through the use of revised Cochrane risk of bias tool. RESULTS: Six articles, incorporating four types of psychotherapy programmes, were included. Overall, the studies present low risk of attrition and reporting bias and unclear risk of selection, performance and detection bias. Patients with weaker therapeutic alliance scores and higher hostility presented with higher dropout rates. In contrast, better mindfulness skills and greater performance in specific neuropsychological domains, such as memory and executive control, were identified as predictive of lower risk of dropout. Sociodemographic variables and treatment history did not influence treatment retention. CONCLUSIONS: Factors that influence discontinuation should be taken into consideration in future treatment programmes, in an effort to optimize retention. Qualitative assessments of patients' reasons for dropping out may also help guide adjustments.

Evaluating the effect of electroconvulsive therapy (ECT) on post-traumatic stress disorder (PTSD): A systematic review and meta-analysis of five studies.

ECT has been proposed as a potential treatment for PTSD. There is a small number of clinical studies to date, but no quantitative review of the efficacy has been conducted. We performed a systematic review and meta-analysis to evaluate the effect of ECT in reducing PTSD symptoms. We followed the PICO and the PRISMA guidelines and searched PubMed, MEDLINE (Ovid), EMBASE (Ovid), Web of Science, and the Cochrane Central Register of Controlled Trials (PROSPERO No: CRD42022356780). A random effects model meta-analysis was conducted with the pooled standard mean difference, applying Hedge's adjustment for small sample sizes. Five within-subject studies met the inclusion criteria, containing 110 patients with PTSD symptoms receiving ECT (mean age 44.13 ± 15.35; 43.4% female). ECT had a small but significant pooled effect on reducing PTSD symptoms (Hedges' g = -0.374), reducing intrusion (Hedges' g = -0.330), avoidance (Hedges' g = -0.215) and hyperarousal (Hedges' g = -0.171) symptoms. Limitations include the small number of studies and subjects and the heterogeneity of study designs. These results provide preliminary quantitative support for the use of ECT in the treatment of PTSD.

Problemas clínicos en Micología Médica: problema número 56 / Clinical problems in Medical Mycology: Problem number 56

We present the case of a twenty six year-old woman with rheumatoid arthritis, treated with certolizumab. She sought medical attention due to cough, fever and night sweats. X-ray exam showed a miliary pneumonia. She was treated for tuberculosis and 50days later she presented with aphasia. Magnetic nuclear resonance revealed brain lesions. Histoplasma capsulatum PCR test and urinary antigen were positive, so an antifungal treatment with voriconazole was started. Visual adverse effects forced to change the antifungal schedule in both the length of treatment and the antifungal drug. With this measure the patient progressed favorably. The test of urinary Histoplasma capsulatum antigen and PCR amplification were key to make a diagnosis and also for a follow-up.(AU)

Se presenta el caso de una paciente de 26años de edad, profesora de educación física. Nació y vive en Burzaco, conurbano sur de la Provincia de Buenos Aires, República Argentina. Debido a su trabajo había realizado diversos viajes y acampado en diferentes provincias de nuestro país (Misiones, Corrientes, San Juan y Mendoza). En el extranjero solo había visitado Orlando (EE.UU.). Desde hacía 10años padecía artritis reumatoide juvenil. Por esta patología recibió metotrexato 15mg/semana, prednisona 5mg/día e hidroxicloroquina 400mg/día durante 7años. Posteriormente le fue prescrito certolizumab 200mg cada dos semanas y, posteriormente, 400mg cada cuatro semanas. Tras dos años con esta medicación le fue suspendida por la aparición de tos seca, fiebre, astenia, adinamia y sudores nocturnos. Debido a estas manifestaciones se le realizó una radiografía de tórax (fig. 1) y se suspendió inmediatamente el tratamiento con el inmunomodulador (certolizumab).(AU)

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.

The association of baseline depressive symptoms and stress on withdrawal in a national longitudinal cohort: the REGARDS study.

PURPOSE: To measure the association of baseline psychological symptoms (depressive symptoms and perceived stress) with withdrawal from a cohort study. METHODS: Depressive symptoms and perceived stress were obtained using validated measures during the baseline computer-assisted telephonic interview for the REasons for Geographic and Racial Differences in Stroke study a national longitudinal cohort (≥45 years, 42% Black, 55% women) recruited between 2003 and 2007. Participants who completed follow-up after September 1, 2019, were considered active. Primary outcome was time to study withdrawal. The association of psychological symptoms and time-to-withdrawal was measured using Cox proportional hazard regression models with incremental adjustments by demographic and clinical factors. RESULTS: Out of 29,964 participants included in the analysis, 11,111 (37.1%) participants withdrew over the follow-up period (median: 11 years). Compared to participants with low depressive symptoms, those with moderate symptoms had 5% higher risk (aHR= 1.05; 95% CI= 1.00-1.10) and those with high level of depressive had 19% higher risk (aHR= 1.19; 95% CI= 1.11-1.27) of withdrawal in fully adjusted models. No significant association between perceived stress and withdrawal risk was observed. CONCLUSIONS: Depressive symptoms were significantly associated with withdrawal. Prevalence of depressive symptoms at baseline is an important indicator of participant retention in large prospective cohorts.

Higher baseline emotion dysregulation predicts treatment dropout in outpatients with borderline personality disorder.

Treatment dropout is high among outpatients with borderline personality disorder (BPD) and is associated with myriad negative therapeutic and psychosocial outcomes. Identifying predictors of treatment dropout can inform treatment provision for this population. The present study investigated whether symptom profiles of static and dynamic factors could predict treatment dropout. Treatment-seeking outpatients with BPD (N = 102) completed pre-treatment measures of BPD symptom severity, emotion dysregulation, impulsivity, motivation, self-harm, and attachment style to determine their collective impact on dropout prior to 6 months of treatment. Discriminant function analysis was used to classify group membership (treatment dropout vs. nondropout) but did not produce a statistically significant function. Groups were distinguished by baseline levels of emotion dysregulation with higher dysregulation predicting premature treatment dropout. Clinicians working with outpatients with BPD might benefit from optimizing emotion regulation and distress tolerance strategies earlier in treatment to reduce premature dropout. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

Mediators of Ethnic Differences in Dropout Rates From a Randomized Controlled Treatment Trial Among Latinx and Non-Latinx White Primary Care Patients With Anxiety Disorders.

ABSTRACT: Disparities in treatment engagement and adherence based on ethnicity have been widely recognized but are inadequately understood. Few studies have examined treatment dropout among Latinx and non-Latinx White (NLW) individuals. Using Andersen's Behavioral Model of Health Service Use (A behavioral model of families' use of health services. 1968; J Health Soc Behav. 1995; 36:1-10) as a framework, we examine whether pretreatment variables (categorized as predisposing, enabling, and need factors) mediate the relationship between ethnicity and premature dropout in a sample of Latinx and NLW primary care patients with anxiety disorders who participated in a randomized controlled trial (RCT) of cognitive behavioral therapy. Data from a total of 353 primary care patients were examined; 96 Latinx and 257 NLW patients participated. Results indicated that Latinx patients dropped out of treatment more often than NLW patients, resulting in roughly 58% of Latinx patients failing to complete treatment compared with 42% of NLW, and approximately 29% of Latinx patients dropping out before engaging in modules related to cognitive restructuring or exposure, relative to 11% of NLW patients. Mediation analyses suggest that social support and somatization partially explained the relationship between ethnicity and treatment dropout, highlighting the importance of these variables in understanding treatment disparities.

AI-based analysis of social media language predicts addiction treatment dropout at 90 days.

The reoccurrence of use (relapse) and treatment dropout is frequently observed in substance use disorder (SUD) treatment. In the current paper, we evaluated the predictive capability of an AI-based digital phenotype using the social media language of patients receiving treatment for substance use disorders (N = 269). We found that language phenotypes outperformed a standard intake psychometric assessment scale when predicting patients' 90-day treatment outcomes. We also use a modern deep learning-based AI model, Bidirectional Encoder Representations from Transformers (BERT) to generate risk scores using pre-treatment digital phenotype and intake clinic data to predict dropout probabilities. Nearly all individuals labeled as low-risk remained in treatment while those identified as high-risk dropped out (risk score for dropout AUC = 0.81; p < 0.001). The current study suggests the possibility of utilizing social media digital phenotypes as a new tool for intake risk assessment to identify individuals most at risk of treatment dropout and relapse.