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Recent guidance from the United States Food and Drug Administration discusses patient-reported outcomes as endpoints in clinical trials (FDA, 2006). Using methods…
Recent guidance from the United States Food and Drug Administration discusses patient-reported outcomes as endpoints in clinical trials (FDA, 2006). Using methods consistent with this guidance, we developed symptom indexes for patients with advanced cancer. Input on the most important symptoms was obtained from 533 patients recruited from National Comprehensive Cancer Network (NCCN) member institutions and four non-profit social service organizations. Diagnoses included the following 11 primary cancers: bladder, brain, breast, colorectal, head/neck, hepatobiliary/pancreatic, kidney, lung, lymphoma, ovarian and prostate. Physician experts in each of 11 diseases were also surveyed to differentiate symptoms that were predominantly disease-based from those that were predominantly treatment-induced. Results were evaluated alongside previously published indexes for 9 of these 11 advanced cancers that were created based on expert provider surveys, also at NCCN institutions (Cella et al., 2003). The final results are 11 symptom indexes that reflect the highest priorities of people affected by these 11 advanced cancers and the experienced perspective of the people who provide their medical treatment. Beyond the clinical value of such indexes, they may also contribute significantly to satisfying regulatory requirements for a standardized tool to evaluate drug efficacy with respect to symptomatology.
Using the family activity of hobby stock-keeping (“petstock”) as a context, this paper aims to extend singularization theory to model the negotiations, agencies and…
Using the family activity of hobby stock-keeping (“petstock”) as a context, this paper aims to extend singularization theory to model the negotiations, agencies and resistances of children, parents and petstock, as they work through how animals become food within the boundaries of the family home. In doing so, the authors present an articulation of this process, deciphering the cultural biographies of petstock and leading to an understanding of the emergent array of child animal food-product preferences.
Data were collected from petstock-keeping parents through a mixture of ethnographic, in-depth interviewing and netnographic engagements in this qualitative, interpretive study; with parents offering experiential insights into animal meat and food-product socialization behaviours played out within the family environments.
The findings discuss the range of parental behaviours, motivations and activities vis-à-vis petstock, and their children’s responses, ranging from transgression to full compliance, in terms of eating home-raised animal food-products. The discussion illustrates that in the context of petstock, a precocious child food preference agency towards animal meat and food products is reported to emerge.
This research has empirical and theoretical implications for the understanding of the development of child food preference agency vis-à-vis animal food products in the context of family petstock keeping.
The research has the potential to inform policy makers around child education and food in regard to how child food preferences emerge and can inform marketers developing food-based communications aimed at children and parents.
Two original contributions are presented: an analysis of the under-researched area of how children’s food preferences towards eating animal food products develop, taking a positive child food-choice agency perspective, and a novel extension of singularization theory, theorizing the radical transformation, from animal to food, encountered by children in the petstock context.
This study aims to investigate motivations and human values of everyday consumers who participate in the annual day of consumption restraint known as Buy Nothing Day…
This study aims to investigate motivations and human values of everyday consumers who participate in the annual day of consumption restraint known as Buy Nothing Day (BND). In addition, this study demonstrates a hybrid content analysis method in which artificial intelligence and human contributions are used in the data analysis.
This research uses a hybrid method of content analysis of a large Twitter data set spanning three years.
Consumer motivations are categorized as relating to consumerism, personal welfare, wastefulness, environment, inequality, anti-capitalism, financial responsibility, financial necessity, health, ethics and resistance to American culture. Of these, consumerism and personal welfare are the most common. Moreover, human values related to “openness to change” and “self-transcendence” were prominent in the BND tweets.
This research demonstrates the effectiveness of a hybrid content analysis methodology and uncovers the motivations and human values that average consumers (as opposed to consumer activists) have to restrain their consumption. This research also provides insight for firms wishing to better understand and respond to consumption restraint.
This research provides insight for firms wishing to better understand and respond to consumption restraint.
The question of why everyday consumers engage in consumption restraint has received little attention in the scholarly discourse; this research provides insight into “everyday” consumer motivations for engaging in restraint using a hybrid content analysis of a large data set spanning over three years.