35 research outputs found

    Identifying the practice components of youth councils: contributions of theory

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    Social workers are involved in numerous efforts to engage youth in programs, communities, and civic life. One potential strategy has focused on engagement and empowerment of youth through the form of youth councils. Multiple theoretical frames have characterized the scholarly literature. This has limited the conceptual coherence of the field. In this paper, we report empirical data on the operation of several youth councils. We analyze the data to identify the implicit frameworks in use and apply the data from our study to sort practice components within frameworks. This effort is designed to improve conceptualization of youth councils, to inform the development of councils, and eventually to improve outcomes of councils.Published versionAccepted manuscrip

    A Home-Based Telerehabilitation Program for Patients with Stroke

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    Background. Although rehabilitation therapy is commonly provided after stroke, many patients do not derive maximal benefit because of access, cost, and compliance. A telerehabilitation-based program may overcome these barriers. We designed, then evaluated a home-based telerehabilitation system in patients with chronic hemiparetic stroke. Methods. Patients were 3 to 24 months poststroke with stable arm motor deficits. Each received 28 days of telerehabilitation using a system delivered to their home. Each day consisted of 1 structured hour focused on individualized exercises and games, stroke education, and an hour of free play. Results. Enrollees (n = 12) had baseline Fugl-Meyer (FM) scores of 39 ± 12 (mean ± SD). Compliance was excellent: participants engaged in therapy on 329/336 (97.9%) assigned days. Arm repetitions across the 28 days averaged 24,607 ± 9934 per participant. Arm motor status showed significant gains (FM change 4.8 ± 3.8 points, P = .0015), with half of the participants exceeding the minimal clinically important difference. Although scores on tests of computer literacy declined with age (r = −0.92; P \u3c .0001), neither the motor gains nor the amount of system use varied with computer literacy. Daily stroke education via the telerehabilitation system was associated with a 39% increase in stroke prevention knowledge (P = .0007). Depression scores obtained in person correlated with scores obtained via the telerehabilitation system 16 days later (r = 0.88; P = .0001). In-person blood pressure values closely matched those obtained via this system (r = 0.99; P \u3c .0001). Conclusions. This home-based system was effective in providing telerehabilitation, education, and secondary stroke prevention to participants. Use of a computer-based interface offers many opportunities to monitor and improve the health of patients after stroke

    COVID-19 shines a light on health inequities in communities of color: a youth-driven photovoice inquiry

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    This manuscript reports on a youth-driven health assessment engaging youth of color in identifying community health priorities during the coronavirus disease 2019 (COVID-19) pandemic. Photovoice, a participatory visual ethnographic health assessment strategy, was used to explore the question: What does health or healthiness mean to you and/or your community? Youth captured images that represented their priorities. The photos were discussed using the SHOWed framework and analyzed thematically. Four themes related to community health were identified. Additionally, youth captured their narrative of COVID-19 as "a revealing force that highlights systemic inequities, driving individuals and communities to both cultivate their resilience and take healthcare into their own hands in response to government and policy level failures." Youth are acutely aware of the historical and structural inequities that create multi-level barriers to healthcare access. Health inequities existed long before the pandemic, but the current crisis requires us to examine ways to transform the healthcare landscape moving forward.UL1 TR001430 - NCATS NIH HHSPublished versio

    Recognition of depression, anxiety, and alcohol abuse in a Chinese rural sample: a cross-sectional study

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    Background Under-utilization of mental health services is a global health issue. Recognition of mental disorders, as the first step to seeking help from professional sources, has been well studied in developed countries, yet little is known about the situation in rural areas of developing countries like China. The purpose of the study is to understand the recognition of depression, anxiety, and alcohol abuse and its predictive factors in a Chinese rural sample Methods Face-to-face interviews were conducted on a representative rural adult sample in a cross-sectional study in China (N = 2052). Respondents were presented with three vignettes depicting depression, anxiety and alcohol abuse and asked to label the disorder and its cause to assess their recognition of the three mental disorders. They also completed the Patient Health Questionnaire (PHQ-9), the Generalized Anxiety Disorder Scale (GAD-7), and the Alcohol Use Disorders Identification Test (AUDIT) to assess their current mental health status. Results The alcohol abuse vignette was more frequently attributed as a mental problem than the depression vignette and anxiety vignette. The correct labeling rate was 16.1 % in the depression vignette, 15.5 % in the anxiety vignette, and 58.2 % in the alcohol vignette. Higher education is the common and also strongest factor positively predicting the recognition of all three vignettes. Beyond that, being female is an independent predictor of correct recognition of alcohol abuse, while recognition of depression and anxiety were positively predicted by younger age. Conclusions Lower recognition of depression and anxiety as compared to alcohol abuse confirms the importance and need to increase the public’s awareness and knowledge about common mental disorders. Recognition of common mental disorders could be improved through general public campaign and education, while paying attention to the unique predictive factors for each specific disorder and implement targeted intervention

    Nomogramme für die Grundumsatz-Bestimmung

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