Psychosocial predictors of depression among older African American cancer patients

To determine whether psychosocial factors predict depression among older African American cancer patients

A roadmap for patient-public involvement and engagement (PPIE) : recounting the untold stories of breast cancer patient experiences

Introduction Breast cancer remains a prevalent disease in women worldwide. Though significant advancements in the standard of care for breast cancer have contributed to improved patient survival and quality of life, a breast cancer diagnosis and subsequent treatment interventions have a long-lasting impact on patients’ lived experiences. A high-quality healthcare system uses a patient-centred approach to healthcare, with patient engagement being a central pillar in the delivery of patient-centred care. However, the disconnect between patients and researchers can translate into research lacking real-world relevance to patient health needs. Here, we report a patient and stakeholder engagement workshop series that was conceptualized with the goal of promoting dialogue between patients with breast cancer, breast cancer researchers and the clinician involved in their care. We present the collaborative learning process and emerging opportunities from this patient engagement workshop series as a community-academic partnership. Method We report on a three-part storytelling workshop, with the scope of the workshops including topics related to raising awareness of the patient lived experience following a breast cancer diagnosis, breast cancer research activities undertaken by researchers, and the approach used by multidisciplinary healthcare teams in the management of breast cancer using storytelling as a tool. We used an iterative approach to cohort trust and relationship building, narrative development, and the use of multiple media formats to capture patient stories. This included the use of object memories, storytelling prompt cards and open-mic audio format to capture patient stories from diagnosis to treatment, and remission. Results 20 patients shared their stories with key themes emerging from the qualitative analysis of audio recordings. For many, this was the first time they had spoken about their breast cancer experience beyond family and friends. Emerging themes included common public misconceptions about a breast cancer diagnosis, the importance of self-advocacy in patient decision making about treatment, and the complex emotional journey experienced by patients diagnosed with breast cancer. The group-based storytelling approach provided collective empowerment to share personal experiences and connect meaningfully across the peer community. Conclusion While a breast cancer diagnosis can be overwhelming from a physical, social, emotional and cognitive perspective, storytelling as a patient engagement approach can build patient trust in researchers, ensuring that as key stakeholders they are involved in the process of research. Understanding the patient perspective of a breast cancer diagnosis and subsequent experiences can support healthcare professionals in developing an empathetic approach to sharing information, and involving patients in shared decision making about their healthcare

Sustainable Impact by Design

2021 is the year of COP26, (the 26th Conference of the Parties who signed an agreement to work to prevent climate change back in 1994). To mark this, the University of Strathclyde offered funds to staff that would let them talk to people about their research and how it can limit climate change. The STEM Equals Summer Scheme won funding, and so ten Strathclyde staff members were able to work with diverse young people in Ayr and Girvan over five days of STEM1 activities. This book shows some of the activities we did together, and some of the learning about their planet and sustainability that went on. As you will see in its pages, everyone involved, staff and participants alike, had a lot of fun. We also found out many new things about ourselves, our colleagues, about STEM and about our environment

The Political Economy of US Military Spending

The causes of the dramatic rise in military spending in the post-war era have been the subject of much political and academic controversy. No extant formulation seems to provide a compelling explanation of the dynamics involved in the levels of, and rates of change in, such spending. In light of this, the authors develop a new model, based mainly on a political-business cycle argument, to account for these dynamics. The basic proposition in this model is that variations in national defense spending arise from political considerations which are related to real and desired conditions within the national economy. Applying this model to the experience of the United States 1948-1976, the authors show that it has a large measure of empirical validity. If one removes the effects of war-time mobilization, it is clear that for the United States the principal driving forces in military spending dynamics were (1) the perceived utility of such spending in stabilizing aggregate demand, (2) the political or electoral value of the perceived economic effects arising out of such spending, and (3) the pressures of institutional-constituency demands.Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/68958/2/10.1177_002234337901600202.pd

Toward an Empirical Concept of Group

Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/93537/1/j.1468-5914.1993.tb00543.x.pd

Relocation to get venture capital : a resource dependence perspective

This is the author accepted manuscript. The final version is available from SAGE via the DOI in this record.Using a resource dependence perspective, we theorize and show that non-venture-capital-backed ventures founded in U.S. states with a lower availability of venture capital (VC) are more likely to relocate to California (CA) or Massachusetts (MA)—the two VC richest states—compared to ventures founded in states with a greater availability of VC. Moreover, controlling for self-selection, ventures that relocate to CA or MA subsequently have a greater probability of attracting initial VC compared to ventures that stay in their home state. We discuss the implications for theory, future research, and practice

Recommendations for the analysis of individually randomised controlled trials with clustering in one arm - a case of continuous outcomes

BACKGROUND: In an individually randomised controlled trial where the treatment is delivered by a health professional it seems likely that the effectiveness of the treatment, independent of any treatment effect, could depend on the skill, training or even enthusiasm of the health professional delivering it. This may then lead to a potential clustering of the outcomes for patients treated by the same health professional, but similar clustering may not occur in the control arm. Using four case studies, we aim to provide practical guidance and recommendations for the analysis of trials with some element of clustering in one arm. METHODS: Five approaches to the analysis of outcomes from an individually randomised controlled trial with clustering in one arm are identified in the literature. Some of these methods are applied to four case studies of completed randomised controlled trials with clustering in one arm with sample sizes ranging from 56 to 539. Results are obtained using the statistical packages R and Stata and summarised using a forest plot. RESULTS: The intra-cluster correlation coefficient (ICC) for each of the case studies was small (<0.05) indicating little dependence on the outcomes related to cluster allocations. All models fitted produced similar results, including the simplest approach of ignoring clustering for the case studies considered. CONCLUSIONS: A partially clustered approach, modelling the clustering in just one arm, most accurately represents the trial design and provides valid results. Modelling homogeneous variances between the clustered and unclustered arm is adequate in scenarios similar to the case studies considered. We recommend treating each participant in the unclustered arm as a single cluster. This approach is simple to implement in R and Stata and is recommended for the analysis of trials with clustering in one arm only. However, the case studies considered had small ICC values, limiting the generalisability of these results

Climate Change, Coral Reef Ecosystems, and Management Options for Marine Protected Areas

Marine protected areas (MPAs) provide place-based management of marine ecosystems through various degrees and types of protective actions. Habitats such as coral reefs are especially susceptible to degradation resulting from climate change, as evidenced by mass bleaching events over the past two decades. Marine ecosystems are being altered by direct effects of climate change including ocean warming, ocean acidification, rising sea level, changing circulation patterns, increasing severity of storms, and changing freshwater influxes. As impacts of climate change strengthen they may exacerbate effects of existing stressors and require new or modified management approaches; MPA networks are generally accepted as an improvement over individual MPAs to address multiple threats to the marine environment. While MPA networks are considered a potentially effective management approach for conserving marine biodiversity, they should be established in conjunction with other management strategies, such as fisheries regulations and reductions of nutrients and other forms of land-based pollution. Information about interactions between climate change and more “traditional” stressors is limited. MPA managers are faced with high levels of uncertainty about likely outcomes of management actions because climate change impacts have strong interactions with existing stressors, such as land-based sources of pollution, overfishing and destructive fishing practices, invasive species, and diseases. Management options include ameliorating existing stressors, protecting potentially resilient areas, developing networks of MPAs, and integrating climate change into MPA planning, management, and evaluation