scholarly journals From passionate labour to compassionate work: Cultural co-ops, do what you love and social change

2017 ◽  
Vol 21 (2) ◽  
pp. 113-129 ◽  
Author(s):  
Marisol Sandoval
Keyword(s):  
Social Change ◽  
Work Ethic ◽  
The Self ◽  
Self Management ◽  
Work Culture ◽  
Cultural Industries ◽  
Future Of Work ◽  
Interview Research ◽  
The Uk ◽  
Cultural Sector

This article focuses on the relation between work and pleasure in the cultural sector. I first unpack the concept of passionate work, situating it within four possible ways of relating work and pleasure. I argue that the work ethic of do what you love, contrary to what it promises, limits the prospects of loveable work. As part of a neoliberal work culture, do what you love transfers the battleground from society onto the self. It favours self-management over politics. Drawing on findings from interview research with members of worker co-operatives in the UK cultural industries, I then go on to explore the relation between work and pleasure within cultural co-ops. I discuss how cultural co-ops might inspire and contribute to a movement for transforming the future of work by turning the desire for loveable work from a matter of individual transformation and competition into a practice of co-operation and social change.

scholarly journals Understanding experiences of changing socioeconomic and psychosocial adversities during COVID-19 for freelancers working in the UK cultural sector: A rapid approach

2021 ◽  
Author(s):  
Katey Warran ◽  
Tom May ◽  
Daisy Fancourt ◽  
Alexandra Burton
Keyword(s):  
Mental Health ◽  
Qualitative Research ◽  
Qualitative Interviews ◽  
Health Impact ◽  
Cultural Work ◽  
Cultural Industries ◽  
The Uk ◽  
Cultural Sector ◽  
Changing Attitudes

There is a dearth of qualitative research exploring how freelancers working in the cultural industries have been affected during COVID-19. In particular, there is a lack of research exploring how socioeconomic and psychosocial adversities may have changed or evolved, and how these changes have been experienced. This study builds on qualitative interviews carried out in July-November 2020 (n=20) by exploring findings from follow-up interviews conducted in May-July 2021 (n=16). It presents a diversity of experiences, showing how some freelancers experienced small changes (e.g., to the kind of work carried out), with others experiencing major changes (e.g., leaving the sector completely). The study also explores experiences of ongoing or increased mental health impact, as well as changing attitudes to cultural work. It concludes with a call for highly bespoke support in the future that can address the huge disparity of experiences during this time.

Identifying the Predictors of Self-Management Behaviors in Patients with Diabetes Based on Ecological Approach: A Systematic Review

2020 ◽  
Vol 16 ◽  
Author(s):  
Mahnaz Davari ◽  
Hamed Rezakhani Moghaddam ◽  
Aghil Habibi Soola
Keyword(s):  
Scientific Information ◽  
The Self ◽  
Self Management ◽  
Ecological Approach ◽  
Selection Strategy ◽  
Diabetic Patients ◽  
Personal Factors ◽  
Management Interventions ◽  
Number Of Patients ◽  
Management Behaviors

Background: Recognizing and promoting the factors that affect the self-management behaviors of diabetes leads to a reduction in the number of patients and an improvement in the quality of care. The ecological approach focuses on the nature of people's interactions with their physical and socio-cultural environments. Objective: The purpose of this study was to identify the predictors of self-management behaviors with a comprehensive approach in these patients. Methods: The Keywords were investigated in the relevant national and international databases, including PubMed, Google Scholar, Science Direct, Scopus, and Scientific Information Database, Magiran, and Iran Medex to obtain the articles published from 2009 to 2019. The search and article selection strategy was developed based on the Prisma checklist and was carried out in three steps. Results: Most studies have shown that personal factors had the highest prediction power for the self-management of diabetes. Then, the interpersonal factors, society and policy-making factors, and group and organization factors were most frequently reported predictors of self-management behaviors in diabetic patients. Conclusion: Self-management of diabetes is necessary for controlling it because 95% of care is done by the patient. When designing self-management interventions, factors based on the individual level that increasing self-management behaviors should be taken into account.

scholarly journals Augmenting the Clinical Data Sources for Enigmatic Diseases: A Cross-Sectional Study of Self-Tracking Data and Clinical Documentation in Endometriosis

2020 ◽  
Vol 11 (05) ◽  
pp. 769-784
Author(s):  
Ipek Ensari ◽  
Adrienne Pichon ◽  
Sharon Lipsky-Gorman ◽  
Suzanne Bakken ◽  
Noémie Elhadad
Keyword(s):  
Additional Data ◽  
Intraclass Correlation ◽  
Management Strategies ◽  
The Self ◽  
Self Management ◽  
Cross Sectional ◽  
Two Samples ◽  
Data Source ◽  
Daily Function ◽  
Over Time

Abstract Background Self-tracking through mobile health technology can augment the electronic health record (EHR) as an additional data source by providing direct patient input. This can be particularly useful in the context of enigmatic diseases and further promote patient engagement. Objectives This study aimed to investigate the additional information that can be gained through direct patient input on poorly understood diseases, beyond what is already documented in the EHR. Methods This was an observational study including two samples with a clinically confirmed endometriosis diagnosis. We analyzed data from 6,925 women with endometriosis using a research app for tracking endometriosis to assess prevalence of self-reported pain problems, between- and within-person variability in pain over time, endometriosis-affected tasks of daily function, and self-management strategies. We analyzed data from 4,389 patients identified through a large metropolitan hospital EHR to compare pain problems with the self-tracking app and to identify unique data elements that can be contributed via patient self-tracking. Results Pelvic pain was the most prevalent problem in the self-tracking sample (57.3%), followed by gastrointestinal-related (55.9%) and lower back (49.2%) pain. Unique problems that were captured by self-tracking included pain in ovaries (43.7%) and uterus (37.2%). Pain experience was highly variable both across and within participants over time. Within-person variation accounted for 58% of the total variance in pain scores, and was large in magnitude, based on the ratio of within- to between-person variability (0.92) and the intraclass correlation (0.42). Work was the most affected daily function task (49%), and there was significant within- and between-person variability in self-management effectiveness. Prevalence rates in the EHR were significantly lower, with abdominal pain being the most prevalent (36.5%). Conclusion For enigmatic diseases, patient self-tracking as an additional data source complementary to EHR can enable learning from the patient to more accurately and comprehensively evaluate patient health history and status.

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