21 research outputs found

    A County-Level Analysis of the Relationship between Voter Behavior as a Proxy for Partisan Ideology, Income, and the Effects on Health Morbidity and Mortality Measures

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    Introduction: Domestic research studies focused on the interrelationships between political ideology characteristics inherent in policy decisions and the contributions these political determinants exert over health indicators and outcomes are limited. Given the paucity of research that focuses on political and policy support of health at the county-level, this study sets out to utilize the University of Wisconsin Population Health Institute’s (UWPHI) annual County Health Rankings data and examine them within the context of county-based majority political partisanship and economic measures. Methods: This exploratory ecological study examined differences between independent variables: partisan voting behavior (trichotomized as conservative, moderate, and liberal) and median per capita household income in U.S. dollars (by quartile) on dependent variables related to mortality (years of productive life lost) and morbidity (number of poor mental and physical health days) at the county-level to compare differences in political and ideological underpinnings that may act as influencers on health outcomes. Multiple data sources were combined and matched to all 3,140 counties located in the U.S. Two-way between-subjects ANOVA statistical tests were conducted to determine if there is an effect of partisan voter index category on the three aforementioned dependent variables related to health outcomes, and median per capita income by quartile. Results: There was a statistically significant main interaction between median per capita household income by quartile and partisan voter index category on years of productive life lost, F(6,2789) = 19.3, p \u3c .000, partial η2 = .040. While there were also statistically significant interactions between the independent and dependent variables of poor mental and physical health days, results of those analyses should be interpreted with caution. Pertaining to years of productive life lost, post hoc analyses of significant interactions revealed significant differences at the lower income quartile, but not in the expected direction. The conservative category had statistically significant lower years of productive life lost in comparison to the liberal category (M = -8.21, SE = 1.47, p = .000). Also, there were significant differences detected in the upper quartile suggesting that the liberal category has lower years of productive life lost in comparison to the conservative category (M = 7.06, SE = 1.06, p = .000). Conclusion: Results should be interpreted with caution and suggest more research and methodological refinements are needed, particularly related to categorizing county-level political dynamics

    Practitioners' ability to remotely develop understanding for personalised care and support planning: a thematic analysis of multiple data sources from the feasibility phase of the Dementia Personalised Care Team (D-PACT) intervention

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    Practitioner understanding of patients' preferences, wishes and needs is essential for personalised health care i.e., focusing on 'what matters' to people based on their individual life situation. To develop such an understanding, dementia practitioners need to use communication practices that help people share their experiences, preferences, and priorities. Following the COVID-19 pandemic, dementia support is likely to continue to be delivered both remotely and in-person. This study analysed multiple sources of qualitative data to examine the views of practitioners, people living with dementia and carers, and researchers on how an understanding of what matters to people living with dementia can be developed remotely via telephone and video call. Access to environmental stimuli, the remote use of visual tools, peoples' tendency to downplay or omit details about their troubles and carers' ability to disclose privately were interpreted, through thematic analysis, to be factors affecting how practitioners sought to develop understanding remotely. Cumulatively, findings show that while remote support created unique challenges to practitioners' ability to develop understanding for personalised care, practitioners developed adaptive strategies to overcome some of these challenges. Further research should examine how, when and for whom these adapted practices for remote personalised care work, informing the development of evidence-based guidance and training on how practitioners can remotely develop the understanding required for personalised care

    Practitioners’ ability to remotely develop understanding for personalised care and support planning: a thematic analysis of multiple data sources from the feasibility phase of the Dementia Personalised Care Team (D-PACT) intervention

    Get PDF
    Practitioner understanding of patients’ preferences, wishes and needs is essential for personalised health care i.e., focusing on ‘what matters’ to people based on their individual life situation. To develop such an understanding, dementia practitioners need to use communication practices that help people share their experiences, preferences, and priorities. Following the COVID-19 pandemic, dementia support is likely to continue to be delivered both remotely and in-person. This study analysed multiple sources of qualitative data to examine the views of practitioners, people living with dementia and carers, and researchers on how an understanding of what matters to people living with dementia can be developed remotely via telephone and video call. Access to environmental stimuli, the remote use of visual tools, peoples’ tendency to downplay or omit details about their troubles and carers’ ability to disclose privately were interpreted, through thematic analysis, to be factors affecting how practitioners sought to develop understanding remotely. Cumulatively, findings show that while remote support created unique challenges to practitioners’ ability to develop understanding for personalised care, practitioners developed adaptive strategies to overcome some of these challenges. Further research should examine how, when and for whom these adapted practices for remote personalised care work, informing the development of evidence-based guidance and training on how practitioners can remotely develop the understanding required for personalised care

    Engaging stakeholders in realist programme theory building: insights from the prospective phase of a primary care dementia support study

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    ‘Dementia - Personalised Care Team’ (D-PACT) is a five-year NIHR funded programme, using realist methods to develop and evaluate a complex, person-centred intervention for people with dementia and their carers. During the early project stages, we engaged with multiple stakeholders, including people with dementia and their carers, to develop an initial programme theory (IPT) – into an elaborated programme theory (EPT), by helping to uncover intervention mechanisms leading to outcomes in specific contexts. Realist research methods for developing programme theories are under-reported. In addition, there is a paucity of practical guidance on how to engage underserved and vulnerable populations in complex interventions programme theory development. We attend to these gaps, providing a worked example of how we meaningfully engaged people living with dementia and carers, alongside field experts, as stakeholders in this process. Our IPT theory building included multi-stakeholder primary research exercises and meetings with PPI contributors and an Expert Reference Group. We adapted interview schedules, and used visual resources and scenario-based activities, to support stakeholders to think in a ‘realist’ way. Using realist and thematic analyses led to hypothesis-building of causal mechanisms. Sharing findings with stakeholders led to further refinement of the intervention design, ready for testing in a subsequent feasibility study. We found that, despite the cognitive challenges associated with dementia, innovative methods of engagement can enable this stakeholder group to understand the realist approach and provide a platform through which to share their experiences. Taking a highly flexible and unhurried approach, led to novel insights into the complexities of person-centred dementia support. We argue for more detailed methodological guidance, based on realist principles, on how to collaborate with underrepresented populations to rigorously gain insights as to what is likely to make a difference and refine initial programme theory

    Goal-oriented cognitive rehabilitation for early-stage Alzheimer's and related dementias: the GREAT RCT

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    This is the author accepted manuscript. The final version is available from NIHR Journals Library via the DOI in this record.The published version is available in ORE at http://hdl.handle.net/10871/36867This study was funded by the National Institute for Health Research (NIHR) Health Technology Assessment (HTA) programme; PI Professor L Clare; HTA reference 11/15/04

    Longitudinal realist evaluation of the dementia PersonAlised care team (D-PACT) intervention: protocol

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    BACKGROUND: Different dementia support roles exist but evidence is lacking on which aspects are best, for whom and in what circumstance, and on their associated costs and benefits. Phase 1 of the Dementia PersonAlised Care Team programme (D-PACT), developed a post-diagnostic primary care-based intervention for people with dementia and their carers and assessed the feasibility of a trial. AIM: Phase 2 of the programme aims to 1) refine our programme theory on how, when and for whom the intervention works and 2) evaluate its value and impact. DESIGN & SETTING: A realist longitudinal mixed-methods evaluation will be conducted in urban, rural, and coastal areas across Southwest and Northwest England where low-income groups or ethnic minorities (eg, South Asian) are represented. Design was informed by patient, public and professional stakeholder input and Phase one findings. METHOD: High volume qualitative and quantitative data will be collected longitudinally from people with dementia, carers and practitioners. Analyses will comprise: 1) realist longitudinal case studies; 2) conversation analysis of recorded interactions; 3) statistical analyses of outcome and experience questionnaires; 4 a) health economic analysis examining costs of delivery; 4b) realist economic analysis of high-cost events and 'near misses'. All findings will be synthesised using a joint display table, evidence appraisal tool, triangulation and stakeholder co-analysis. CONCLUSION: Our realist evaluation will describe how, why and for whom the intervention leads (or not) to change over time; it also demonstrates how a non-randomised design can be more appropriate for complex interventions with similar questions or populations

    Identifying change processes in group-based health behaviour-change interventions: development of the mechanisms of action in group-based interventions (MAGI) framework

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    Group-based interventions are widely used to promote health-related behaviour change. While processes operating in groups have been extensively described, it remains unclear how behaviour change is generated in group-based health-related behaviour-change interventions. Understanding how such interventions facilitate change is important to guide intervention design and process evaluations. We employed a mixed-methods approach to identify, map and define change processes operating in group-based behaviour-change interventions. We reviewed multidisciplinary literature on group dynamics, taxonomies of change technique categories, and measures of group processes. Using weight-loss groups as an exemplar, we also reviewed qualitative studies of participants' experiences and coded transcripts of 38 group sessions from three weight-loss interventions. Finally, we consulted group participants, facilitators and researchers about our developing synthesis of findings. The resulting 'Mechanisms of Action in Group-based Interventions' (MAGI) framework comprises six overarching categories: (1) group intervention design features, (2) facilitation techniques, (3) group dynamic and development processes, (4) inter-personal change processes, (5) selective intra-personal change processes operating in groups, and (6) contextual influences. The framework provides theoretical explanations of how change occurs in group-based behaviour-change interventions and can be applied to optimise their design and delivery, and to guide evaluation, facilitator training and further research

    Longitudinal realist evaluation of the dementia PersonAlised care team (D-PACT) intervention: protocol

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    Background Different dementia support roles exist but evidence is lacking on which aspects are best, for whom and in what circumstance, and on their associated costs and benefits. Phase 1 of the Dementia PersonAlised Care Team programme (D-PACT), developed a post-diagnostic primary care-based intervention for people with dementia and their carers and assessed the feasibility of a trial. AimPhase 2 of the programme aims to 1) refine our programme theory on how, when and for whom the intervention works and 2) evaluate its value and impact. Design & setting A realist longitudinal mixed-methods evaluation will be conducted in urban, rural, and coastal areas across Southwest and Northwest England where low-income groups or ethnic minorities (eg, South Asian) are represented. Design was informed by patient, public and professional stakeholder input and Phase one findings. Method High volume qualitative and quantitative data will be collected longitudinally from people with dementia, carers and practitioners. Analyses will comprise: 1) realist longitudinal case studies; 2) conversation analysis of recorded interactions; 3) statistical analyses of outcome and experience questionnaires; 4 a) health economic analysis examining costs of delivery; 4b) realist economic analysis of high-cost events and ‘near misses’. All findings will be synthesised using a joint display table, evidence appraisal tool, triangulation and stakeholder co-analysis. Conclusion Our realist evaluation will describe how, why and for whom the intervention leads (or not) to change over time; it also demonstrates how a non-randomised design can be more appropriate for complex interventions with similar questions or populations
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