41 research outputs found

    Using relevance mapping methodology to design an adolescent mental health intervention in India

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    Background Adolescents in low and middle-income countries experience pronounced mental health needs in contexts where infrastructure and resources are scarce. While evidence-based treatment are readily available, they may not fit the unique needs of certain contexts. Objective This manuscript illustrates the systematic process of applying ‘relevance mapping’ methodology to leverage the youth mental health evidence base to identify candidate practices for inclusion in the development of a contextually appropriate psychological treatment protocol for common adolescent mental health problems in India. Methods The practice identification was informed by two datasets obtained from adolescent samples in India. The first was an epidemiological dataset from a large community sample in Goa (N = 2,048); the second incorporated ‘youth top problems’ reported by service-seeking students presenting to school counsellors in Goa and Delhi (N = 78). Problems identified in each dataset were categorized using structured codes. Problem codes and youth demographics were then indexed against a database of hundreds of evidence-based psychological treatments and their associated clinical trials. This methodology revealed the most common practice elements (discrete therapeutic strategies) and their most efficient combinations with evidence of effectiveness matching the demographics and diagnostic category (anxiety, disruptive behaviors and depression) prevalent in the planned treatment population. Results For anxiety, the most common practice elements for this age group were exposure, cognitive coping, and psychoeducation. For disruptive behaviors, the most common practices were problem-solving, goal-setting, and rapport-building. For depression, cognitive coping, behavioral activation, and psychoeducation were the most common practice elements. Conclusion These practice elements provided the treatment development team with a preliminary list of candidate content for the development of an intensive psychological treatment within a stepped care service model to address common adolescent mental health problems in schools in India

    Implementing evidence based practices for youth in an HMO: The roles of external ratings and market share

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    A qualitative study of child clinicians in a non-profit HMO examined implementation of evidence-based practices (EBPs) for anxiety and oppositional defiant disorders using interviews and focus groups with 33 clinicians (97% of participants), and ethnography of emails and meetings. Analysis showed statistical measures of access and service-key elements of rating organizations' "report cards"- were central in creating "pressure" making transition to EBPs difficult. EBPs were secondary to access and service targets. "Research" and "statistics" were perceived as unrealistic, "literature" as lacking authority. Rating organizations should include outcome and fidelity metrics to align market share pressures with children's health

    Improvement in Symptoms Versus Functioning: How Do Our Best Treatments Measure Up? Administration and policy in mental health. doi

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    Abstract We examined the effects of redefining standards of evidence for treatments targeting childhood mental health problems by expanding outcomes beyond symptom reduction to include functioning. Over 750 treatment protocols from 435 randomized controlled trials were rated based on empirical evidence. Nearly two-thirds (63.9%) demonstrated at least a minimum level of evidence for reducing symptoms; however, only 18.8% of treatments demonstrated evidence for reducing functional impairment. Of those treatments with empirical support for symptom reduction, the majority did not demonstrate empirical support for improvement in functioning because measures of functioning were not included in the studies in which these treatments were tested. However, even when measures of functioning were included, it was much more difficult for treatments to achieve improvement. Among treatments that achieved improvement in functioning, the most notable were Collaborative Problem Solving for disruptive behavior and Cognitive Behavioral Therapy plus Medication for traumatic stress because they demonstrated no support for symptom reduction but good support for improvement in functioning. Results are discussed within the context of evaluating the standards of evidence for treatments and the opportunity to move towards a multidimensional framework whose utility has the potential to exceed the sum of its parts

    Driving with roadmaps and dashboards: Using information resources to structure decision models in service organizations

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    Abstract This paper illustrates the application of design principles for tools that structure clinical decision-making. If the effort to implement evidence-based practices in community services organizations is to be effective, attention must be paid to the decision-making context in which such treatments are delivered. Clinical research trials commonly occur in an environment characterized by structured decision making and expert supports. Technology has great potential to serve mental health organizations by supporting these potentially important contextual features of the research environment, through organization and reporting of clinical data into interpretable information to support decisions and anchor decision-making procedures. This article describes one example of a behavioral health reporting system designed to facilitate clinical and administrative use of evidence-based practices. The design processes underlying this system-mapping of decision points and distillation of performance information at the individual, caseload, and organizational levels-can be implemented to support clinical practice in a wide variety of settings

    Revised Child Anxiety and Depression Scale: a Psychometric Examination in Chinese Youth

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    There remains a need for a disorder-specific inventory of children’s depression and anxiety that can reliably screen anxious and depressive disorder symptomatology in Chinese children. The Revised Child and Anxiety Depression Scale (RCADS) is a self-report questionnaire assessing anxiety and depression in children (Chorpita et al., 2000; Piqueras et al., 2017). This study sought to evaluate its psychometric properties in a Mainland Chinese sample. Students from the 4th to 11th grades (N = 1001) participated in this study. Each of the RCADS subscales, by age and sex, possessed reliability coefficients ranging between.63 and.81. Means and standard deviations for RCADS subscales calculated for the age and sex sub-samples were reported. Participants reported slightly lower levels on five subscales than for Chorpita et al. (2000) normative sample. The scales were significantly and strongly correlated with the Child Behavior Checklist (CBCL) subscales (somatic, withdrawal, anxiety) as well as CBCL internalizing scores. Fit statistics suggested marginal to adequate fit for the six-factor model for the Chinese youth. The present study provides foundational support for the psychometric properties of the RCADS in a large sample of Chinese youth yet indicates that factor structure might be improved through enhanced sampling of culturally relevant symptom expressions
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