199 research outputs found
âThese classes have been my happy placeâ: Feasibility study of a self-care program in Native Hawaiian custodial grandparents
Native Hawaiian custodial grandparents have a distinctive set of strengths and challenges that may lead them to benefit from a structured self-care program. The purpose of this paper is to describe a feasibility study with nine Native Hawaiian custodial grandparents who participated in a 6-week self-care intervention. Based on open-ended questions during the post-questionnaire and at the 6-month follow-up focus group, grandparent participants noted that their grandchildren needed education and clothing. Most grandparents did not endorse statements that their grandchildren had any mental or physical health conditions. Grandparents reflected that the intervention provided them with skills to help cope with raising grandchildren and helped them realize the importance of their health to providing care to their grandchildren. Based on the findings from this pilot study, the self-care approach may have benefits for Native Hawaiian custodial grandparents
Capacity strengthening in malaria research: the Gates Malaria Partnership.
The Gates Malaria Partnership (GMP) includes five African and four European partner institutions. Its research programme has five priority areas involving an extensive range of field-based studies. GMP research has contributed significantly to the development of new research consortia investigating strategies for improving means of malaria control, and has already had an impact on policy and practice. A substantial investment in innovative training activities in malaria has enhanced knowledge and practice of malaria control at all levels from policy making to local community involvement. Capacity development, notably through a PhD programme, has been an underlying feature of all aspects of the programme
Unlocking the Potential of Older Adult Volunteers: The Intergenerational Leadership Institute Model as a Resource for Bolstering Extension
The Intergenerational Leadership Institute (ILI) is a yearlong certificate training program developed by Pennsylvania State University for older adults (55-plus) seeking new lifelong learning and civic engagement experiences and opportunities to contribute to innovation and change in their communities. Data from participant surveys and observations of ILI-related training and program planning sessions indicate growth in participants\u27 intergenerational programming and leadership skills in the context of translating intervention ideas into concrete plans and programs. This article describes the process and outcomes of ILI chapters in State College, Pennsylvania, and Montgomery County, Maryland, and tools and resources for assisting with program dissemination
âIt Takes a Village!â: Social Capital Building in a Remote Hawaiâi Community
In this cross-sectional study, we investigated the multi-level educational intervention among youth in a low-income, remote community in Hawaiâi, United States. The program aided with middle schoolersâ transition into adulthood through youth-adult partnerships, teen mentoring, and community sustainability. Drawing upon social capital framework, we explored participantsâ experiences and how the intervention promoted positive developmental outcomes among the youth. We recruited youth from a rural Title I Middle School in Hawaiâi. Nine youth (nboys=6, ngirls=3; Mage=13; 44.9% Native Hawaiian or Other Pacific Islander, 44.4% Black or African American, 33.3% White, 22.2. % Asian; participants could select multiple races), teen mentors (ngirls=3; Mage=18), and an adult partner (male; 24 years old) participated in 26 virtual club meetings in Spring 2021. This qualitative study consisted of 27 participants who took part in focus groups and observations. Three themes emerged: skill development, youth-adult relationship building, and sense of belonging. These social components encouraged the sharing of knowledge and feelings among participants on horizontal and oblique directions through reciprocity and helped create a social norm of a supportive environment to make youth feel belonging to the group and the local community. Multi-level interventions that draw upon community resources and youth-adult partnerships can benefit at-risk, minority adolescent populations. We identified non-familial role models and a sense of belonging to oneâs community as two key protective factors that may lead to positive cognitive changes when youth transition into adulthood
Recognizing Microaggressions: A Framework for Helping Grandfamilies
Microaggressions are manifestations of prejudice targeted toward socially marginalized groups. They may take several forms: subtle discriminatory remarks, behavior, or environmental characteristics. In contrast to overt aggressions, microagressions are not easy to detect and often invisible to both perpetrator and recipient. Existing research demonstrates that experiencing microaggressions is harmful to members of stigmatized groups and provides a framework to combat these negative effects. Although most of the literature on microaggressions is focused on groups characterized by minority race and female gender, microagressions might also be experienced by members of grandfamilies, who often have socially marginalized status. Microagressions toward grandfamilies may take three main forms: microassaults (discrimination), microinsults (insensitivity), and microinvalidations (nullification of experience). Service providers working with grandfamilies can learn to identify microaggressions and suggest ways by which grandfamilies can minimize or eliminate their influence. This article reviews the theoretical framework of microaggressions and notes ways in which it is applicable to grandfamilies. It also includes how this concept may strengthen the work of professionals who assist grandfamilies
Advancing Innovation in Newfoundland and Labrador: Insights for Knowledge Mobilization and University-Community Engagement
In this paper, we provide insights for knowledge mobilization and university-community engagement based on the lessons learned from the Advancing Innovation in Newfoundland and Labrador Project. Out hope is to provide a window into the experiences of academics as they navigate the complexities and politics of mobilizing research and engaging with diverse stakeholders. Despite the challenges of this work, presented by factors inside and outside the academy, it is crucial to enhance our capabilities if we are to maximize the impact of universities in linking theory, research, and expertise with critical social and economic needs, such as enhancing innovation
Maximizing the First-Year Planning Period for Scholarly Publications: Implications for Prospective CYFAR Grant Recipients
One of CYFAR\u27s unique features is the built-in planning year for all grant recipients. We present our evaluation teamâs approach during year 1 to establish a foundation and plan for scholarly publications during funding years 2â5. The systematic literature review provided the team with a better understanding of the culture and context of the projectâs target population. Collaboration between PI/Co-PI and Evaluator served as a powerful tool to achieving this goal. Not only does this model benefit future CYFAR grant recipientsâ and Extension professionalsâ curriculum development and program evaluation, it can also inform recruitment efforts and community partnership development
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Deep learning networks find unique mammographic differences in previous negative mammograms between interval and screen-detected cancers: a case-case study.
BackgroundTo determine if mammographic features from deep learning networks can be applied in breast cancer to identify groups at interval invasive cancer risk due to masking beyond using traditional breast density measures.MethodsFull-field digital screening mammograms acquired in our clinics between 2006 and 2015 were reviewed. Transfer learning of a deep learning network with weights initialized from ImageNet was performed to classify mammograms that were followed by an invasive interval or screen-detected cancer within 12âmonths of the mammogram. Hyperparameter optimization was performed and the network was visualized through saliency maps. Prediction loss and accuracy were calculated using this deep learning network. Receiver operating characteristic (ROC) curves and area under the curve (AUC) values were generated with the outcome of interval cancer using the deep learning network and compared to predictions from conditional logistic regression with errors quantified through contingency tables.ResultsPre-cancer mammograms of 182 interval and 173 screen-detected cancers were split into training/test cases at an 80/20 ratio. Using Breast Imaging-Reporting and Data System (BI-RADS) density alone, the ability to correctly classify interval cancers was moderate (AUCâ=â0.65). The optimized deep learning model achieved an AUC of 0.82. Contingency table analysis showed the network was correctly classifying 75.2% of the mammograms and that incorrect classifications were slightly more common for the interval cancer mammograms. Saliency maps of each cancer case found that local information could highly drive classification of cases more than global image information.ConclusionsPre-cancerous mammograms contain imaging information beyond breast density that can be identified with deep learning networks to predict the probability of breast cancer detection
Increasing access to CBT for psychosis patients: a feasibility, randomised controlled trial evaluating brief, targeted CBT for distressing voices delivered by assistant psychologists (GiVE2)
Background: The National Institute for Health and Care Excellence (NICE) recommends that Cognitive Behaviour Therapy for psychosis (CBTp) is offered to all patients with a psychosis diagnosis. However, only a minority of psychosis patients in England and Wales are offered CBTp. This is attributable, in part, to the resource-intensive nature of CBTp. One response to this problem has been the development of CBTp in brief formats that are targeted at a single symptom and the mechanisms that maintain distress. We have developed a brief form of CBTp for distressing voices and reported preliminary evidence for its effectiveness when delivered by highly trained therapists (clinical psychologists). This study will investigate the delivery of this intervention by a cost-effective workforce of assistant psychologists following a brief training and evaluate the acceptability and feasibility of conducting a future, definitive, randomised controlled trial (RCT).
Methods: This is a feasibility study for a pragmatic, three-arm, parallel-group, superiority 1:1:1 RCT comparing a Guided self-help CBT intervention for voices and treatment as usual (GiVE) to Supportive Counselling and treatment as usual (SC) to treatment as usual alone (TAU), recruiting across two sites, with blinded post-treatment and follow-up assessments. A process evaluation will quantitatively and qualitatively explore stakeholder experience.
Discussion: Expected outcomes will include an assessment of the feasibility of conducting a definitive RCT, and data to inform the calculation of its sample size. If evidence from a subsequent, fully powered RCT suggests that GiVE is clinically and cost-effective when delivered by briefly trained assistant psychologists, CBTp offered in these less resource-intensive forms has the potential to generate benefits for individual patients (reduced distress, enhanced recovery and enhanced quality of life), service-level patient benefit (increased access to evidence-based psychological therapies) and economic benefits to the NHS (in terms of the reduced use of mental health inpatient services).
Trial registration: Current Controlled Trials, ISRCTN registration number: 16166070. Registered on 5 February 2019
Regenerative Medicine and the Developing World
This is the first study to systematically identify and prioritize which applications of regenerative medicine are the most promising for improving health in developing countries
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