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BackgroundWhile early autism intervention can significantly improve outcomes, gaps in implementation exist globally. These gaps are clearest in Africa, where forty percent of the world's children will live by 2050. Task-sharing early intervention to non-specialists is a key implementation strategy, given the lack of specialists in Africa. Naturalistic Developmental Behavioral Interventions (NDBI) are a class of early autism intervention that can be delivered by caregivers. As a foundational step to address the early autism intervention gap, we adapted a non-specialist delivered caregiver coaching NDBI for the South African context, and pre-piloted this cascaded task-sharing approach in an existing system of care.ObjectivesFirst, we will test the effectiveness of the caregiver coaching NDBI compared to usual care. Second, we will describe coaching implementation factors within the Western Cape Department of Education in South Africa.MethodsThis is a type 1 effectiveness-implementation hybrid design; assessor-blinded, group randomized controlled trial. Participants include 150 autistic children (18-72 months) and their caregivers who live in Cape Town, South Africa, and those involved in intervention implementation. Early Childhood Development practitioners, employed by the Department of Education, will deliver 12, one hour, coaching sessions to the intervention group. The control group will receive usual care. Distal co-primary outcomes include the Communication Domain Standard Score (Vineland Adaptive Behavior Scales, Third Edition) and the Language and Communication Developmental Quotient (Griffiths Scales of Child Development, Third Edition). Proximal secondary outcome include caregiver strategies measured by the sum of five items from the Joint Engagement Rating Inventory. We will describe key implementation determinants.ResultsParticipant enrolment started in April 2023. Estimated primary completion date is March 2027.ConclusionThe ACACIA trial will determine whether a cascaded task-sharing intervention delivered in an educational setting leads to meaningful improvements in communication abilities of autistic children, and identify implementation barriers and facilitators.Trial registrationNCT05551728 in Clinical Trial Registry (https://clinicaltrials.gov).

BACKGROUND: While early autism intervention can significantly improve outcomes, gaps in implementation exist globally. These gaps are clearest in Africa, where forty percent of the world's children will live by 2050. Task-sharing early intervention to non-specialists is a key implementation strategy, given the lack of specialists in Africa. Naturalistic Developmental Behavioral Interventions (NDBI) are a class of early autism intervention that can be delivered by caregivers. As a foundational step to address the early autism intervention gap, we adapted a non-specialist delivered caregiver coaching NDBI for the South African context, and pre-piloted this cascaded task-sharing approach in an existing system of care. OBJECTIVES: First, we will test the effectiveness of the caregiver coaching NDBI compared to usual care. Second, we will describe coaching implementation factors within the Western Cape Department of Education in South Africa. METHODS: This is a type 1 effectiveness-implementation hybrid design; assessor-blinded, group randomized controlled trial. Participants include 150 autistic children (18-72 months) and their caregivers who live in Cape Town, South Africa, and those involved in intervention implementation. Early Childhood Development practitioners, employed by the Department of Education, will deliver 12, one hour, coaching sessions to the intervention group. The control group will receive usual care. Distal co-primary outcomes include the Communication Domain Standard Score (Vineland Adaptive Behavior Scales, Third Edition) and the Language and Communication Developmental Quotient (Griffiths Scales of Child Development, Third Edition). Proximal secondary outcome include caregiver strategies measured by the sum of five items from the Joint Engagement Rating Inventory. We will describe key implementation determinants. RESULTS: Participant enrolment started in April 2023. Estimated primary completion date is March 2027. CONCLUSION: The ACACIA trial will determine whether a cascaded task-sharing intervention delivered in an educational setting leads to meaningful improvements in communication abilities of autistic children, and identify implementation barriers and facilitators. TRIAL REGISTRATION: NCT05551728 in Clinical Trial Registry ( https://clinicaltrials.gov ).

Most autism research has been conducted in high-income countries, with participants typically from White, upper-middle-income families. Given the disparities experienced by autistic individuals living in underserved communities globally, there is a critical need for research to include individuals from culturally, linguistically, socioeconomically, and geographically diverse backgrounds to understand their unique needs. Qualitative research has the potential to describe the "lived experience" of families historically underrepresented in the autism literature. Here we describe the logistical and methodological challenges of conducting focus group discussions with 22 caregivers of young autistic children living in Cape Town, South Africa. Logistical challenges included (1) recruitment, (2) response rate, and (3) resource access. Methodological challenges included (1) participant background and experiences, (2) interpersonal dynamics, and (3) research ethics. We present recommendations based on lessons learned to reduce these challenges and improve rigorous qualitative research practices in similar low-resource contexts.

Abstract Background Despite the high number of children living with neurodevelopmental disabilities in sub–Saharan Africa, access to early intervention is almost non-existent. It is therefore important to develop feasible, scalable early autism intervention that can be integrated into systems of care. While Naturalistic Developmental Behavioural Intervention (NDBI) has emerged as an evidence-based intervention approach, implementation gaps exist globally, and task-sharing approaches may address access gaps. In this South African proof-of-principle pilot study, we set out to answer two questions about a 12-session cascaded task-sharing NDBI—whether the approach could be delivered with fidelity, and whether we could identify signals of change in child and caregiver outcomes. Methods We utilized a single-arm pre-post design. Fidelity (non-specialists, caregivers), caregiver outcomes (stress, sense of competence), and child outcomes (developmental, adaptive) were measured at baseline (T1) and follow-up (T2). Ten caregiver-child dyads and four non-specialists participated. Pre-to-post summary statistics were presented alongside individual trajectories. Non-parametric Wilcoxon signed rank test for paired samples was used to compare group medians between T1 and T2. Results Caregiver implementation fidelity increased in 10/10 participants. Non-specialists demonstrated a significant increase in coaching fidelity (increases in 7/10 dyads). Significant gains were seen on two Griffiths-III subscales (Language/Communication—9/10 improved, Foundations of Learning—10/10 improved) and on the General Developmental Quotient (9/10 improved). Significant gains were also seen on two Vineland Adaptive Behaviour Scales (Third Edition) subscales (Communication—9/10 improved, Socialization—6/10 improved) and in the Adaptive Behaviour Standard Score (9/10 improved). Caregiver sense of competence improved in 7/10 caregivers and caregiver stress in 6/10 caregivers. Conclusions This proof-of-principle pilot study of the first cascaded task-sharing NDBI in Sub-Saharan Africa provided fidelity and intervention outcome data which supported the potential of such approaches in low-resource contexts. Larger studies are needed to expand on the evidence-base and answer questions on intervention effectiveness and implementation outcomes.

BackgroundWhile early autism intervention can significantly improve outcomes, gaps in implementation exist globally. These gaps are clearest in Africa, where forty percent of the world's children will live by 2050. Task-sharing early intervention to non-specialists is a key implementation strategy, given the lack of specialists in Africa. Naturalistic Developmental Behavioral Interventions (NDBI) are a class of early autism intervention that can be delivered by caregivers. As a foundational step to address the early autism intervention gap, we adapted a non-specialist delivered caregiver coaching NDBI for the South African context, and pre-piloted this cascaded task-sharing approach in an existing system of care.ObjectivesFirst, we will test the effectiveness of the caregiver coaching NDBI compared to usual care. Second, we will describe coaching implementation factors within the Western Cape Department of Education in South Africa.MethodsThis is a type 1 effectiveness-implementation hybrid design; assessor-blinded, group randomized controlled trial. Participants include 150 autistic children (18-72 months) and their caregivers who live in Cape Town, South Africa, and those involved in intervention implementation. Early Childhood Development practitioners, employed by the Department of Education, will deliver 12, one hour, coaching sessions to the intervention group. The control group will receive usual care. Distal co-primary outcomes include the Communication Domain Standard Score (Vineland Adaptive Behavior Scales, Third Edition) and the Language and Communication Developmental Quotient (Griffiths Scales of Child Development, Third Edition). Proximal secondary outcome include caregiver strategies measured by the sum of five items from the Joint Engagement Rating Inventory. We will describe key implementation determinants.ResultsParticipant enrolment started in April 2023. Estimated primary completion date is March 2027.ConclusionThe ACACIA trial will determine whether a cascaded task-sharing intervention delivered in an educational setting leads to meaningful improvements in communication abilities of autistic children, and identify implementation barriers and facilitators.Trial registrationNCT05551728 in Clinical Trial Registry (https://clinicaltrials.gov).

When COVID-19 disrupted autism spectrum disorder research globally, many clinical trials of behavioral interventions pivoted to telehealth. Telehealth has the potential to increase geographic reach and improve racial/ethnic diversity in research. This matters because most autism spectrum disorder intervention studies have primarily included White, upper-middle-income families from North America and Europe. Participant homogeneity limits our ability to identify what types of intervention works in which context for which populations. Importantly, telehealth needs to "fit" the local context, and in particular, include strategies that factor in the "digital divide." This short report details contextual considerations and pre-implementation pragmatic adaptations in two autism spectrum disorder clinical trials that include Early Start Denver Model--informed caregiver coaching in the United States and South Africa. By comparing and contrasting how implementation context informed the telehealth pivot in these two clinical trials in different hemispheres, we highlight equity considerations for adaption. The pandemic is an opportunity to understand how remote intervention can "fit" diverse contexts, while providing valid scientific results. It is however important that adaptations be documented and feasibility of the adapted approach be tracked. COVID-19-related telehealth adaptations of behavioral interventions could facilitate the development of new strategies with wider global impact.

The majority of individuals with autism spectrum disorder live in low- and middle-income countries and receive little or no services from health or social care systems. The development and validation of autism spectrum disorder interventions has almost exclusively occurred in high-income countries, leaving many unanswered questions regarding what contextual factors would need to be considered to ensure the effectiveness of interventions in low- and middle-income countries. This study qualitatively explored contextual factors relevant to the adaptation of a caregiver-mediated early autism spectrum disorder intervention in a low-resource South African setting. We conducted four focus groups and four in-depth interviews with 28 caregivers of young children with autism spectrum disorder and used thematic analysis to identify key themes. Eight contextual factors including culture, language, location of treatment, cost of treatment, type of service provider, support, parenting practices, and stigma emerged as important. Caregivers reported a preference for an affordable, in-home, individualized early autism spectrum disorder intervention, where they have an active voice in shaping treatment goals. Distrust of community-based health workers and challenges associated with autism spectrum disorder-related stigma were identified. Recommendations that integrate caregiver preferences with the development of a low-cost and scalable caregiver-mediated early autism spectrum disorder intervention are included.

According to EU guidance SANCO/7525/VI/95 Rev. 10.3, residue data extrapolation from a surrogate major crop to a minor crop can be used for setting maximum residue levels (MRLs) with a reduced number of residue trials and representative selected pesticides. In this work, a QuEChERS method (citrate-buffered version and PSA with MgSO4 clean-up) and LC-ESI-MS/MS for the determination of boscalid, pyraclostrobin, fludioxonil, fluopyram and tebuconazole in persimmon was developed and validated according to EU Commission guidelines and afterwards used for the determination of residues in four field trials. Residue levels at harvest for each pesticide ranged between 0.347 and 0.028 mg/kg. After comparing EFSA residue data on apples, as the surrogate major crop, and conducting a consumer risk assessment, a proposal of residue data extrapolation to set MRLs in persimmons was performed. The results showed that pesticide residues in persimmons at harvest were consistently lower than residues in apples when substances were applied according to the same critical GAP. MRLs were set at 0.5 mg/kg for fludioxonil, 0.6 mg/kg for boscalid, 0.3 mg/kg for tebuconazole, 0.4 mg/kg for fluopyran and 0.3 mg/kg for pyraclostrobin. The ratio of the MRLs for apple/persimmon varied between 2.5 for boscalid and 1.25 for fluopyram, suggesting that residue extrapolation can be feasible, promoting the process of pesticide registration for minor crops and the settlement of MRL.

Background Hemodialysis patients are at risk of intradialytic hypotension (IDH), which is associated with mortality and cardiovascular and neurological events. The use of biomarkers of volemia such as relative change in protidemia and BNP (B‐natriuretic peptide) levels to predict IDH remains unknown. Methods and Results We conducted a prospective observational study, which enrolled 170 chronic hemodialysis patients in a single center from September 2015 to March 2016. BNP and the relative change of protidemia level (Δprotidemia=postdialysis protidemia−predialysis protidemia) were measured monthly over 6 months. A logistic mixed regression model was used to define the best biomarkers that predict the 30‐day risk of IDH. Receiver operating characteristic analysis area under the curve was used to define the cutoff values of Δprotidemia that predict IDH A logistic mixed model reveals that Δprotidemia predicts the 30‐day risk of IDH but not BNP or age; odds ratio=1.12, 95% CI 1.08‐1.17), odds ratio=0.81, 95% CI (0.64; 1.07) and odds ratio =0.015 95% CI (0.99; 1.03), respectively. Adding the ultrafiltration rate did not improve the model. A receiver operating characteristic curve analysis showed that Δprotidemia of 10 g/L allowed for discrimination of the patients with IDH (area under the curve= 0.67; 95% CI 0.62‐0.72, P

Most autism research has been conducted in high-income countries, with participants typically from White, upper-middle-income families. Given the disparities experienced by autistic individuals living in underserved communities globally, there is a critical need for research to include individuals from culturally, linguistically, socioeconomically, and geographically diverse backgrounds to understand their unique needs. Qualitative research has the potential to describe the "lived experience" of families historically underrepresented in the autism literature. Here we describe the logistical and methodological challenges of conducting focus group discussions with 22 caregivers of young autistic children living in Cape Town, South Africa. Logistical challenges included (1) recruitment, (2) response rate, and (3) resource access. Methodological challenges included (1) participant background and experiences, (2) interpersonal dynamics, and (3) research ethics. We present recommendations based on lessons learned to reduce these challenges and improve rigorous qualitative research practices in similar low-resource contexts. Most of the autism research to date has been conducted in high-income countries, with children and families typically from White, upper-middle-income backgrounds. However, we know there are significant inequalities that exist which influence how autistic individuals from diverse, underserved communities can access services they need. As many of these individuals have not been included in the majority of autism research to date, there is much we do not know about these individuals' life experiences, which are critically needed to better inform the development and implementation of care for families from historically underrepresented groups. In this article, we describe the research process we took to conduct focus group discussions with 22 caregivers of young autistic children living in Cape Town, South Africa. We specifically describe the lessons we learned in implementing these focus groups and provide recommendations aimed at how to best reduce logistical and methodological challenges moving forward to improve research conducted in similar low-resource contexts. [ABSTRACT FROM AUTHOR]