The role of collective efficacy in long-term condition management: A metasynthesis.

Health Soc Care Community

NIHR Collaboration for Leadership in Applied Health Research (CLAHRC), Wessex, University of Southampton, Southampton, UK.

Published: September 2019

Social networks have been found to have a valuable role in supporting the management of long-term conditions. However, the focus on the quality and how well self-management interventions work focus on individualised behavioural outcomes such as self-efficacy and there is a need for understanding that focuses on the role of wider collective processes in self-management support. Collective efficacy presents a potentially useful candidate concept in the development and understanding of self-management support interventions. To date it has mainly been utilised in the context of organisations and neighbourhoods related to social phenomena such as community cohesion. Drawing on Bandura's original theorisation this meta-synthesis explores how studies of collective efficacy might illuminate collective elements operating within the personal communities of people with long-term conditions. A qualitative meta-synthesis was undertaken. Studies published between 1998 and 2018 that examined collective efficacy in relation to health and well-being using qualitative and mixed methods was eligible for inclusion. Timing of engagement with others, building trust in the group, and legitimising ongoing engagement with the group arised as central elements of collective efficacy. The two themes forming third order constructs were related to the presence of continuous interaction and ongoing relational work between members of the group. Collective efficacy can develop and be sustained over time in a range of situations where individuals may not have intense relationships with one another and have limited commitment and contact with one another. Extending this to the personal communities of people with long-term conditions it may be the case that collective efficacy enables a number of engagement opportunities which can be oriented towards assisting with support from networks over a sustained length of time. This may include negotiating acceptable connections to resources and activities which in turn may help change existing practice in ways that improve long-term condition management.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6852408PMC
http://dx.doi.org/10.1111/hsc.12779DOI Listing

Publication Analysis

Top Keywords

collective efficacy
28
long-term conditions
12
long-term condition
8
condition management
8
collective
8
self-management support
8
personal communities
8
communities people
8
people long-term
8
efficacy
7

Similar Publications

The fungal Bromodomain and Extra-Terminal (BET) protein Bdf1 is a potential antifungal target against invasive fungal infections. However, the need to selectively inhibit both Bdf1 bromodomains (BDs) over human orthologs and the lack of molecular tools to assess on-target antifungal efficacy hamper efforts to develop Bdf1 BD inhibitors as antifungal therapeutics. This study reports a phenyltriazine compound that inhibits both Bdf1 BDs from the human fungal pathogen Candida glabrata with selectivity over the orthologous BDs from the human BET protein Brd4.

View Article and Find Full Text PDF

Alzheimer's disease [AD] disproportionately affects our seniors, diminishing their health and life expectancy. As the world population grows older, the collective burden of AD has become unsustainable. Globally, there were 43.

View Article and Find Full Text PDF

20 Years of Interteaching Research and Practice: A Tutorial for its Use in the Classroom.

Behav Anal Pract

December 2024

School for Global Inclusion and Social Development, University of Massachusetts Boston, 100 Morrissey Blvd, Boston, MA 02125 USA.

Boyce and Hineline (2002) published their seminal article describing interteaching more than 2 decades ago. Since then, a robust line of research has emerged demonstrating the efficacy of this instructional approach in college classrooms across a variety of subjects, class sizes, levels of instruction, and in the most recent research, across various teaching and learning modalities. The purpose of this article is to provide a guide and resource for those interested in implementing interteaching in their classroom as well as those interested in conducting interteaching research.

View Article and Find Full Text PDF

Innovative breast cancer detection using a segmentation-guided ensemble classification framework.

Biomed Eng Lett

January 2025

Electronics and Communication Engineering, IFET College of Engineering, Villupuram, Tamilnadu India.

Unlabelled: Breast cancer (BC) remains a significant global health issue, necessitating innovative methodologies to improve early detection and diagnosis. Despite the existence of intelligent deep learning models, their efficacy is often limited due to the oversight of small-sized masses, leading to false positive and false negative outcomes. This research introduces a novel segmentation-guided classification model developed to increase BC detection accuracy.

View Article and Find Full Text PDF

qPCR as a Tool for the Diagnosis of Visceral and Cutaneous Leishmaniasis: A Systematic Review and Meta-Analysis.

Acta Parasitol

January 2025

Ezequiel Dias Foundation, Directorate of Research and Development, Belo Horizonte, Minas Gerais, 30510-010, Brazil.

Introduction: Ensuring accuracy in the diagnosis of leishmaniasis is crucial due to the myriad of potential differential diagnoses. Given the inherent limitations of serological techniques, real-time polymerase chain reaction (qPCR) emerges as a superior alternative. Furthermore, parasitological methods, conventionally regarded as the gold standard owing to their high specificity, encounter challenges concerning sensitivity and invasiveness for patients.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!