Early Intervention Model Research Articles

Creating a predictive model for early detection, intervention, and prevention of opioid addiction in the United States

Creating a predictive model for early detection, intervention, and prevention of opioid addiction in the United States

Pilot study protocol evaluating the impact of telerobotics interactions with autistic children during a Denver intervention on communication skills using single-case experimental design

IntroductionFor several years, studies have been conducted on the contribution of social robots as an intervention tool for children with autism spectrum disorder (ASD). One of the early intervention models...

Effectiveness of The Early Start Denver Model for Children with Autism: A Narrative Review and Experiences for Viet Nam

Early intervention for children with autism is crucial for their development and quality of life. Different early intervention models exist, including the Early Start Denver Model, which has scientific evidence and is included in Vietnam's Guidance Document on Diagnosis and Intervention for Children with autism spectrum disorders. Therefore, quantitative research design and descriptive statistics methodologies are used in the study to review the Denver early intervention model's effectiveness in treating children with autism worldwide and bring lessons learned for application in Vietnam. This narrative review analyses 16 scientific articles conducted in an international database. Research results show that the Early Start Denver Model is efficacious in improving core defects in children with autism, such as social skills, communication skills, and repetitive behaviors,…; using the Early Start Denver Model will improve parent-child interactions, reducing stress for parents during the parenting process. The findings also indicate lessons for applying the Early Start Denver Model for children with autism in Vietnam, considering factors like regional culture, educational facilities, and learning materials; motor skills and imitation skills should be combined with other therapies for better effectiveness.

An Automated Clubbed Fingers Detection System Based on YOLOv8 and U-Net: A Tool for Early Prediction of Lung and Cardiovascular Diseases

Background/Objectives: Lung and cardiovascular diseases are leading causes of mortality worldwide, yet early detection remains challenging due to the subtle symptoms. Digital clubbing, characterized by the bulbous enlargement of the fingertips, serves as an early indicator of these diseases. This study aims to develop an automated system for detecting digital clubbing using deep-learning models for real-time monitoring and early intervention. Methods: The proposed system utilizes the YOLOv8 model for object detection and U-Net for image segmentation, integrated with the ESP32-CAM development board to capture and analyze finger images. The severity of digital clubbing is determined using a custom algorithm based on the Lovibond angle theory, categorizing the condition into normal, mild, moderate, and severe. The system was evaluated using 1768 images and achieved cloud-based and real-time processing capabilities. Results: The system demonstrated high accuracy (98.34%) in real-time detection with precision (98.22%), sensitivity (99.48%), and specificity (98.22%). Cloud-based processing achieved slightly lower but robust results, with an accuracy of 96.38%. The average processing time was 0.15 s per image, showcasing its real-time potential. Conclusions: This automated system provides a scalable and cost-effective solution for the early detection of digital clubbing, enabling timely intervention for lung and cardiovascular diseases. Its high accuracy and real-time capabilities make it suitable for both clinical and home-based health monitoring.

NefroAssist: A Machine-Learning Prediction Model for Early Nephrology Intervention in Hospitalized Patients at Christus Muguerza Group

NefroAssist: A Machine-Learning Prediction Model for Early Nephrology Intervention in Hospitalized Patients at Christus Muguerza Group

Early intervention for eating disorders.

Research on early intervention for eating disorders has started to gain traction and examples of this in practice are increasing. This review summarizes findings over the past 3 years, focusing on the clinical effectiveness of early intervention in practice and the barriers and facilitators to its implementation. Recent developments in early intervention for eating disorders can be divided into three broad themes: research that has examined the efficacy of early intervention pathways in practice, research that has informed understanding of the target patient groups of early intervention (via clinical staging models, e.g.), and research that has suggested new ways to progress early intervention, towards becoming a standard part of best practice care. Early intervention pathways have shown promising clinical outcomes and are viewed positively by patients, clinicians and other stakeholders. However, more robust trials of their efficacy, effectiveness and cost-effectiveness are needed. Additionally, barriers to early intervention have been identified (e.g. delayed help-seeking); research must now develop and evaluate strategies to address these. Finally, the early intervention models in practice are underpinned partly by clinical staging models for eating disorders, which require further development, especially for eating disorders other than anorexia nervosa.

The Homeostasis-Enrichment-Plasticity (HEP®) Approach for Premature Infants with Developmental Risks: A Pre-Post Feasibility Study.

Background: The environmental enrichment (EE) framework has inspired several early intervention (EI) approaches. This study evaluated the feasibility, safety, caregiver acceptance, and satisfaction of implementing the HEP Approach intervention, a novel EI model based on the EE paradigm. Outcome measures for motor development, individual functional goals, sensory functions, caregiver-provided environmental affordances, and motivation for movement were examined. Methods: A pre-post-study design examined 18 premature infants (<33 weeks six days gestation) with a corrected age of 4-10 months. A 21-item Likert scale survey assessed the feasibility, safety, acceptability, and satisfaction of implementing the HEP Approach intervention. The Peabody Developmental Motor Scales-2, Test of Sensory Functions in Infants, Affordances in the Home Environment for Motor Development, and Infant Movement Motivation Questionnaire were used for outcomes. The goal attainment scale measured progress toward parent goals. The HEP Approach consisted of 12 one-hour sessions implemented over three months. Results: Most participating parents found the HEP Approach intervention feasible, safe, acceptable, and satisfactory. GAS scores demonstrated significant gains with a mean t-score of 67.75 (SD = 2.00). Results found significant improvement (p ≤ 0.05) in all outcome measures. Conclusions: Results suggest that the HEP Approach intervention is safe, feasible, and acceptable to implement. Outcome measures were meaningful and sensitive in identifying improved motor development, individualized parental goals, sensory functions, caregivers' use of environmental opportunities, and movement motivation in premature at-risk infants. Results suggest further studies on the HEP Approach are feasible, and highlight the potential of this intervention to inspire and guide future research in this field.

Telehealth general case parent training for children at risk for autism.

Parent-mediated interventions for infants and young children with an increased likelihood of autism may help ameliorate developmental concerns; however, generalization of parents' teaching strategies to novel child target skills has not been consistently demonstrated. This study expanded our parent training program, Parent Intervention for Children at-Risk for Autism (PICARA), by incorporating telehealth general case training (PICARA-TGCT) to promote generalization of teaching skills. Five parent-child dyads participated. Child target skills were chosen from the categories of imitation, receptive language, and expressive language. A concurrent multiple-baseline-across-participants design was used to evaluate the effect of training across two cohorts of parent-child dyads. Dependent variables included the percentage of correct parent teaching skills and the percentage of child correct responses. Parent teaching skills increased across all participants for both trained and untrained child target skills, as did child skills. This study provides support for PICARA-TGCT as an efficacious and efficient early intervention model.

The ‘Community of Schools and Services’ (COSS) Model of Early Intervention: A System-Changing Innovation for the Prevention of Youth Homelessness

The ‘Community of Schools and Services’ (COSS) Model of Early Intervention: A System-Changing Innovation for the Prevention of Youth Homelessness

Multilingual and multimodal methods to examining the situated communication among deaf children and their caregivers

ABSTRACT This paper discusses methodologies for examining the multilingual language experiences of young deaf children that are sensitive to different cultural contexts of childhood, caregiving and language practices. We argue that in the context of early support, the combined use of situated multilingual and multimodal approaches to examine and assess individual language resources can provide rich and reliable information about individual communicative repertoires in their given context. This approach extends commonly used monolingual and unimodal research and assessment tools that lack the inclusivity of reach and granularity of analysis needed to inform contextually appropriate early intervention for multilingual and migrant deaf learners. We illustrate the potential of these methods using case study examples from multimodal video-based and ethnographic data gathering and analysis techniques deployed across three projects in different multilingual contexts, in Ghana and the UK. We use these case studies to examine the methodological choices, challenges and opportunities of researching different multilingual environments in culturally sensitive ways as a basis for supporting and assessing the language and communication development of young deaf children in multilingual and migrant contexts. We discuss how the resulting new knowledge base can extend Euro-Western epistemologies that are currently leading models of early intervention and support.

Early intervention model for treating mood and anxiety disorders: A realist mixed-methods hypothesis test of emerging adult recovery through the mechanism of agency

Early intervention model for treating mood and anxiety disorders: A realist mixed-methods hypothesis test of emerging adult recovery through the mechanism of agency

Prediction of Diabetes Mellitus using Artificial Intelligence Techniques

Diabetes Mellitus (DM) is a global health challenge, demanding proficient predictive models for early identification and intervention. This study adopts a comprehensive strategy for diabetes prediction with Machine learning algorithms, utilizing PIMA Indian diabetes dataset which encompasses clinical, demographic and lifestyle data. Employing techniques like Recursive Feature Elimination (RFE) and correlation analysis, the feature selection process identifies influential predictors, including glucose levels, Body Mass Index (BMI), Blood Pressure and diabetic history of family. A distinctive facet of this study involves integrating IBM Auto AI, automating the machine learning pipeline for tasks like feature engineering, hyperparameter tuning and model selection. Through comparative analysis, the research evaluates the efficiency and performance enhancements achieved through automation in contrast to manually-tailored models. Evaluation metrics encompass accuracy, precision, recall, and F1 score. Crossvalidation, particularly k-fold cross-validation, ensures model generalization to diverse subsets of the dataset. The research outcomes offer valuable insights into the optimal amalgamation of AI techniques for diabetes prediction, underscoring the significance of interpretability, performance, and automation in healthcare analytics. The proposed Methodology is evaluated with different classifiers with Auto AI and without Auto AI techniques. Using IBM Auto AI,Gradient boosting algorithm performed well with 84.4 % accuracy and Logistic Regression showed good accuracy of 84. 4% among conventional machine learning techniques without Auto AI using Pima Indian Diabetes Dataset.

GAPi: A description of the initiative for early psychosis intervention in Latin America and the short- to medium-term outcomes in early psychosis patients

IntroductionSchizophrenia is a debilitating disorder that affects a significant proportion of the population and leads to impaired functionality and long-term challenges. The first episode of psychosis (FEP) is a critical intervention stage for improving long-term outcomes. The GAPi program was established in São Paulo, Brazil to provide early intervention services and evaluate biomarkers in individuals with FEP. This article delineates the objectives of the GAPi program, detailing its innovative research protocol, examining the clinical outcomes achieved, and discussing the operational challenges encountered during its initial decade of operation. MethodsThe study comprised a prospective cohort of antipsychotic-naïve individuals with first-episode psychosis aged between 16 and 35 years. Participants were recruited from a public psychiatric facility in São Paulo. Emphasizing the initiative's commitment to early intervention, clinical assessments were systematically conducted at baseline and at two months, one year, two years, and five years of treatment to capture both short- and medium-term outcomes. Various assessment tools were utilized, including structured interviews, symptom scales, the Addiction Severity Index, and functional assessments. ResultsA total of 232 patients were enrolled in the cohort. Among them, 65.95 % completed the 2-month follow-up. Most patients presented with schizophrenia spectrum disorders, followed by bipolar disorder and major depressive disorder with psychotic features. Treatment response rates and remission rates were evaluated at different time points, with promising outcomes observed. The program also assessed socio-demographic factors, substance use, family history, and genetic and biomarker profiles, providing valuable data for research. DiscussionThe GAPi program has emerged as the largest ongoing cohort of antipsychotic-naïve first-episode psychosis in Latin America, contributing to the understanding of early psychosis in low- and middle-income countries. Despite operational challenges, the program has demonstrated efficacy in reducing the duration of untreated psychosis and in improving clinical outcomes. A multidisciplinary approach, including pharmacological treatment, psychosocial interventions, and family involvement, has been instrumental in enhancing treatment adherence and long-term prognosis. ConclusionThe GAPi program represents a valuable model for early intervention in first-episode psychosis and provides insights into the pathophysiology, treatment, and long-term outcomes of individuals with schizophrenia and related disorders. Continued research and resource allocation are essential for addressing operational challenges and expanding early intervention services in low- and middle-income countries.

Impact of a philosophical intervention on the reduction of depression in high school students.

Adolescence is a critical and challenging period in development; therefore, it is of utmost importance to address and prevent disorders such as depression or anxiety. The present study aimed to evaluate the effect of a philosophical intervention on depression rates in high school students. The method consisted of the evaluation of depression before and after the intervention with the BDI-Y test. Of the cases of the young people attended in the intervention workshops, on average, their depressive classification decreased by 67%. The implementation of the workshops with content in ethical values can be a model of early mental health intervention to reduce the levels of depression in high school students, which created a multiplier effect in the class groups, as well as in the increase of coexistence and teamwork.

Evaluating structure and content of parent-implemented early logopaedic intervention models following the three stages of communicative development in children with cleft lip and/or palate: Systematic literature review with narrative synthesis.

The development of communication, speech and language follows three stages (development of the parent-child relationship, interactions and actual speech and language acquisition). Children born with cleft lip and/or palate are at increased risk of communicative problems while parents may be going through an emotionally difficult time. Early parent-implemented logopaedic intervention that supports both parents and child is important. Three systematic reviews have examined the effects of early speech and language interventions, but not their structure and content. To investigate which early parent-implemented logopaedic interventions already exist for children with cleft lip and/or palate, and to evaluate their structure, content and time of onset against the three stages of communicative development. Six databases (PubMed, Embase, Web of Science, APA PsycInfo, Cinahl and Scopus) were searched between inception and 31 March 2023 to identify published articles that reported early parent-implemented logopaedic interventions in children with cleft lip and/or palate, aged 0 to 3 years, clearly describing the strategies used to train parents. Two authors independently assessed the eligibility of the studies. Quality assessment was conducted using the Physiotherapy Evidence Database quality assessment tool, Single-Case Experimental Design tool and the National Institutes of Health pre-post-study tools. The structure and content of the interventions were analysed taking into account the needs and difficulties of both the parents and the child according to the three stages of communicative development. The systematic literature search identified four studies that met the inclusion criteria. Three of them had a Level of Evidence III and one study had a Level of Evidence IV. Strategies appropriate for Stage 1 of communicative development (parent-child relationship) are well represented in only one study, but the psychosocial needs of parents are currently not included in these programmes. However, research shows that parental emotional difficulties can adversely impact a child's communicative development. Strategies appropriate for Stage 2 (promoting social interactions) are better represented. However, strategies appropriate for Stage 3 (acquiring correct speech and language patterns) are most represented in all intervention programmes. Three out of four intervention programmes focus on Stage 3 (actual speech and language stimulation). Stage 1 is underrepresented and the psychosocial needs of parents are currently not included in existing intervention programmes. Further research is needed in close collaboration with psychologists to construct a comprehensive, longitudinal, developmentally appropriate intervention programme that equally represents the three stages of communicative development and considers the psychosocial needs of parents. What is already known on the subject Children with cleft lip and/or palate are at increased risk of speech and language problems from birth. Parents of these children often have emotional problems following their child's diagnosis. The effectiveness of early intervention to facilitate the child's speech and language development has already been proven. Early intervention is recommended for both parents and child, but little is known about early parent-implemented logopaedic interventions that also provide psychosocial support for parents. What this paper adds to existing knowledge This review has shown that existing early parent-implemented logopaedic interventions for children with cleft lip and/or palate focus mainly on facilitating responsive interactions and actual speech and language development (Stages 2 and 3 of communicative development). However, Stage 1, where the parent-child relationship develops, is currently not included, even though this stage is a prerequisite of subsequent stages. If parents are struggling with emotional problems (following their child's diagnosis) this can negatively impact their mental health, the parent-child relationship, attachment and their child's development. What are the potential or actual clinical implications of this work? A clinical implication of the findings in this review is that more attention should be paid to Stage 1 of communicative development in early parent-implemented logopaedic interventions. By working closely with the psychologist of the cleft (and craniofacial) team, any psychosocial needs of the parents can be included in the counselling. As a result, the parents and their child are seen and supported as a unit and the parent-child relationship can develop optimally.

Анализ доказательной базы эффективности моделей ранней помощи DIRFloortime и ESDM. Часть 2. Модель ESDM

&lt;p style="text-align: justify;"&gt;&lt;strong&gt;Objectives&lt;/strong&gt;. Describing empirically proven algorithms of the Early Start Denver Model (ESDM) is a relevant task to compare variants of the model practically presented in the correctional space and the empirically proven variant. The basic empirical studies of the effectiveness of the ESDM model are analyzed.&lt;/p&gt; &lt;p style="text-align: justify;"&gt;&lt;strong&gt;Methods&lt;/strong&gt;. The review considers 9 English-language sources, 5 articles in Russian, and a textbook on the Denver Early Intervention Model, which describe evaluations mainly in the format of randomized and controlled trials of the effectiveness of the ESDM model.&lt;/p&gt; &lt;p style="text-align: justify;"&gt;&lt;strong&gt;Results.&amp;nbsp;&lt;/strong&gt;The results of the analysis of the cited studies indicate a significantly greater effectiveness of the ESDM approach for children with autism spectrum disorders (ASD) compared to standard available care options on such parameters as: receptive and expressive speech, socialization, daily living skills, communication, motor skills, reduction of the main symptoms of autism, and reduction of parental stress.&lt;/p&gt; &lt;p style="text-align: justify;"&gt;&lt;strong&gt;Conclusions&lt;/strong&gt;. The basic evidence-based applications of the ESDM model are described, which include: writing an individualized care plan, intensive sessions with the child for approximately 15 hours per week, regular parent training, independent interaction with children for approximately 2&amp;mdash;3 hours per day, and age of onset of care between 18 and 30 months. The conclusion has been made that the Early Start Denver Model (EDSM) is appropriate for working with early age children showing signs of ASD.&lt;/p&gt;

"FREED instils a bit of hope in the eating disorder community… that things can change.": an investigation of clinician views on implementation facilitators and challenges from the rapid scaling of the First Episode Rapid Early Intervention for Eating Disorders programme.

First Episode Rapid Early Intervention for Eating Disorders (FREED) is the leading eating disorder (ED) early intervention model for young people. Research has shown that it reduces the duration of untreated illness, improves clinical outcomes, and has cost savings. However, less is known about the experience of implementing FREED. This study aimed to investigate the views and experiences of adopting, implementing, and sustaining FREED from the perspective of clinical staff. Seven focus groups were conducted involving 26 clinicians. Thematic analysis was used, with the Non-Adoption, Abandonment and Challenges to Scale-up, Spread and Sustainability (The NASSS framework) framework being applied to organise subthemes and determine facilitators and barriers. The NASSS framework was also used to rate the complexity of themes as either simple (straightforward, predictable, few components), complicated (multiple interrelating components), or complex (dynamic, unpredictable, not easily divisible into constituent components). There were 16 subthemes identified under seven broader themes representing each domain of the NASSS framework. Key barriers and areas of complexity included factors related to EDs as an illness (e.g., high acuity and prevalence), and organisational complexity (e.g., staffing shortages, lack of managerial/team support). Key facilitators included positive clinician/adopter attitudes, a supportive national network, and the ability for FREED to be flexible/adaptable over time. The FREED model appears to be desirable to clinical staff. Wider team and managerial support was perceived to be particularly important to its successful implementation, as were the national network and supervision. Key areas of complexity include staffing issues and high ED acuity/prevalence. These barriers to implementation need to be managed and investment continued to expand and improve early intervention for EDs further.

Soulspace: Integrated youth mental health care in Berlin, Germany-An introduction to the program and a description of its users.

A substantial gap between young people's need for mental health care services and their actual access to such services led worldwide organizations (e.g., the WHO) to recommend the implementation of early intervention programs and youth mental health services. Some countries around the world have established structures to meet this recommendation. In this paper, we describe soulspace as the first integrated youth mental health service for young people aged between 15 and 35 years in Berlin, Germany. We introduce soulspace as easily accessible mental health care for young people, and we characterize soulspace along the lines of the internationally established eight key principles of integrated youth mental health services (Killackey, et al., 2020, World Economic Forum). Soulspace is a cooperation between clinical outpatient units of psychiatric clinics for adolescents and young adults as well as a community-based counselling service. It provides initial contact, counselling, diagnostics, and treatment. Our analyses of the pathways to soulspace and the characteristics of the soulspace users suggest that the low threshold is a facilitator to help finding for young people in comparison to more conventional early intervention models. That is, having transferred the early intervention center in a youth-facing counselling service as was done in soulspace seems to have reduced the threshold to seek help for families and for young people in need for support. In summary, with soulspace, an easily accessible mental health care service was established that integrates counselling and specialized psychiatric treatment if needed.

Anticipating interpersonal sensitivity: A predictive model for early intervention in psychological disorders in college students

Psychological disorders, notably social anxiety and depression, exert detrimental effects on university students, impeding academic achievement and overall development. Timely identification of interpersonal sensitivity becomes imperative to implement targeted support and interventions. This study selected 958 freshmen from higher education institutions in Zhejiang province as the research sample. Utilizing the runge-kutta search and elite levy spreading enhanced moth-flame optimization (MFO) in conjunction with the kernel extreme learning machine (KELM), we propose an efficient intelligent prediction model, namely bREMFO-KELM, for predicting the interpersonal sensitivity of college students. IEEE CEC 2017 benchmark functions and the interpersonal sensitivity dataset were employed as the basis for detailed comparisons with peer-reviewed studies and well-known machine learning models. The experimental results demonstrate the outstanding performance of the bREMFO-KELM model in predicting the sensitivity of interpersonal relationships in college students, achieving an impressive accuracy rate of 97.186%. In-depth analysis reveals that the prediction of interpersonal sensitivity in college students is closely associated with multiple features, including easily hurt in relationships, shy and uneasy with the opposite sex, feeling inferior to others, discomfort when observed or discussed, and blame and criticize others. These features are not only crucial for the accuracy of the prediction model but also provide valuable information for a deeper understanding of the sensitivity of college students' interpersonal relationships. In conclusion, the bREMFO-KELM model excels not only in performance but also possesses a high degree of interpretability, providing robust support for predicting the sensitivity of interpersonal relationships in college students.

Iodine-131 intervention in hyperthyroidism with hepatic insufficiency: Metabolomic evaluation

Hyperthyroidism, often accompanied by hepatic insufficiency (HI), poses significant clinical challenges, highlighting the necessity for identifying optimal treatment strategies and early diagnostic biomarkers to improve patient outcomes. This study aimed to determine the optimal iodine-131 (131I) intervention dose for alleviating hyperthyroidism with HI and to identify serum metabolic biomarkers for early diagnosis using UPLC-Q/TOF-MS technology. A mouse model for early 131I intervention was established to monitor changes in physiological response, body weight, fur condition, thyroid, and liver function. Metabolite identification was achieved through UPLC-Q/TOF-MS and further analyzed via MetaboAnalyst. Six biomarkers were identified and subjected to ROC analysis. Early intervention with 80 μCi 131I per gram of thyroid tissue effectively controlled hyperthyroidism and improved liver function. Metabolomics analysis uncovered 63 differentially abundant metabolites, six of which (L-kynurenine, Taurochenodesoxycholic acid, Glycocholic acid, Phytosphingosine, Tryptamine, and Betaine) were identified as early warning biomarkers. Post-intervention, these biomarkers progressively returned to normal levels. This study demonstrates the efficacy of UPLC-Q/TOF-MS in identifying metabolic biomarkers for early diagnosis of hyperthyroidism with HI and highlights the therapeutic potential of early 131I intervention in normalizing these biomarkers.