22 research outputs found

    The Change Up Project : using social norming theory with young people to address domestic abuse and promote healthy relationships

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    This paper presents the findings of a secondary analysis of data collected during a pilot project, Change Up, which used a social norming approach (SNA) to address domestic violence and abuse (DVA) with young people aged 13–14. A SNA is based upon a well-articulated theory of behavior and evidence-based methodology for addressing social justice issues. This reflects a paradigm shift focusing upon strengths and positives, rather than pathologizing behaviours. Adopting a SNA, the Change Up project comprised a baseline survey followed by the intervention (workshop and peer-to-peer campaign), ending with a post-intervention survey. It was delivered in two high schools in a UK city between 2015 and 16. A secondary analysis of the survey data collected during the surveys and qualitative data collected at the end of each workshop was undertaken and this is reported here. Change Up data illustrates that most young people in the sample thought that DVA is unacceptable. There was, however, a gender difference in the norms held about the social acceptability of girls using physical violence against boys (and vice versa). The analysis of Change Up data indicates that a social norming approach to DVA programs aimed at young people can be successful in promoting attitude and behaviour change. It also highlights a continuing need for young people’s education about relationships and gender equality

    Factors contributing to intervention fidelity in a multi-site chronic disease self-management program

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    BACKGROUND AND OBJECTIVES: Disease self-management programs have been a popular approach to reducing morbidity and mortality from chronic disease. Replicating an evidence-based disease management program successfully requires practitioners to ensure fidelity to the original program design. METHODS: The Florida Health Literacy Study (FHLS) was conducted to investigate the implementation impact of the Pfizer, Inc. Diabetes Mellitus and Hypertension Disease Self-Management Program based on health literacy principles in 14 community health centers in Florida. The intervention components discussed include health educator recruitment and training, patient recruitment, class sessions, utilization of program materials, translation of program manuals, patient retention and follow-up, and technical assistance. RESULTS: This report describes challenges associated with achieving a balance between adaptation for cultural relevance and fidelity when implementing the health education program across clinic sites. This balance was necessary to achieve effectiveness of the disease self-management program. The FHLS program was implemented with a high degree of fidelity to the original design and used original program materials. Adaptations identified as advantageous to program participation are discussed, such as implementing alternate methods for recruiting patients and developing staff incentives for participation. CONCLUSION: Effective program implementation depends on the talent, skill and willing participation of clinic staff. Program adaptations that conserve staff time and resources and recognize their contribution can increase program effectiveness without jeopardizing its fidelity

    Associations between individual, social, and service factors, recovery expectations and recovery strategies for individuals with mental illness

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    Clinical and consumer recovery efforts continue to advance more successful recovery agendas. Limited research into the effect of the expectation to recover and what strategies are most effective in enhancing recovery impedes coherent recovery programming. What factors are significantly associated with recovery expectancy and recovery strategies is still largely unknown. Thus, this study addresses three key gaps in the field. First, which factors associate with the expectation of recovery and is expectation related to strategy choice? Second, what are common strategies for recovery from mental illness and what factors are associated with each strategy? Third, does recovery expectancy or severity of mental illness mediate or moderate the relationship between clinical, social and service factors and recovery strategies? This study surveyed a sample of 350 randomly chosen participants from a community mental health organization with varying degrees of mental illness in a cross-sectional study utilizing instruments that measured clinical/historical, social, and service factors and recovery. The results were examined in multivariate analysis targeted to address the gaps noted above. The six recovery strategies included: (1) effective illness management, (2) positive future orientation, (3) meaningfulness, personal control, and hope, (4) recognizing support, (5) help seeking, and (6) symptom eradication. Recovery expectancy was not significantly predicted by any of the clinical, social, or service factors. Although 25% of the variance was explained by the full model, factors associated with expectancy differ from recovery strategies and require further investigation. Except for symptom eradication, recovery expectancy was significantly negatively associated with each recovery strategy.Main effects models were significant for all six recovery strategies. The social factor constructs (social support, empowerment, stigma) were most consistently and robustly associated with all recovery strategies. Variance explained in full models ranged from 71% for positive future orientation to 19% for symptom eradication. However, no mediating or moderating effects were detected for recovery expectancy or illness severity. The results of this study further the understanding of recovery and provide information for development of recovery programs

    Associations between individual, social, and service factors, recovery expectations and recovery strategies for individuals with mental illness

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    Clinical and consumer recovery efforts continue to advance more successful recovery agendas. Limited research into the effect of the expectation to recover and what strategies are most effective in enhancing recovery impedes coherent recovery programming. What factors are significantly associated with recovery expectancy and recovery strategies is still largely unknown. Thus, this study addresses three key gaps in the field. First, which factors associate with the expectation of recovery and is expectation related to strategy choice? Second, what are common strategies for recovery from mental illness and what factors are associated with each strategy? Third, does recovery expectancy or severity of mental illness mediate or moderate the relationship between clinical, social and service factors and recovery strategies? This study surveyed a sample of 350 randomly chosen participants from a community mental health organization with varying degrees of mental illness in a cross-sectional study utilizing instruments that measured clinical/historical, social, and service factors and recovery. The results were examined in multivariate analysis targeted to address the gaps noted above. The six recovery strategies included: (1) effective illness management, (2) positive future orientation, (3) meaningfulness, personal control, and hope, (4) recognizing support, (5) help seeking, and (6) symptom eradication. Recovery expectancy was not significantly predicted by any of the clinical, social, or service factors. Although 25% of the variance was explained by the full model, factors associated with expectancy differ from recovery strategies and require further investigation. Except for symptom eradication, recovery expectancy was significantly negatively associated with each recovery strategy.Main effects models were significant for all six recovery strategies. The social factor constructs (social support, empowerment, stigma) were most consistently and robustly associated with all recovery strategies. Variance explained in full models ranged from 71% for positive future orientation to 19% for symptom eradication. However, no mediating or moderating effects were detected for recovery expectancy or illness severity. The results of this study further the understanding of recovery and provide information for development of recovery programs

    Detailing a spectrum of motivational forces shaping nomadic practices

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    Recent CSCW research has shown that nomadicity can be seen as a dynamic process that emerges as people engage with practices supporting them in the mobilisation of their workplace to accomplish work in and across different locations. This paper elaborates on the emergent aspects of the process by detailing a spectrum of motivational and contextual forces that surround and shape nomadic practices. The paper contributes to existing CSCW literature on nomadicity and extends it by articulating the complex intersections of motive and context that shape nomadic practices. The findings that the paper presents emerged from an ethnographic study of a group of academics and their nomadic work/life practices
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