Koteyko, Nelya
(2017).
Chronic Illness and Online Networking: expectations, assumptions, and everyday realities.
[Data Collection]. Colchester, Essex:
UK Data Archive.
10.5255/UKDA-SN-851964
Given the recognised importance of social networks in health and wellbeing, the recent rise in popularity of online networking sites affords a timely opportunity to learn more about their role in self-care associated with long-term conditions.
Focusing on diabetes as one of the most pressing healthcare priorities, and Facebook as currently the most popular social networking site, the project examines contextual factors that shape knowledge, attitudes and practices in relation to online networking and chronic illness.
The Facebook site allows its users to create textual and visual content, connections, organisational and individual pages, and groups, and in this way facilitates maintenance of different network types. Our study of Facebook use by people with diabetes, and by government and third sector organisations, will help us understand the role of these different networks, and of the Internet, in shaping and supporting self-care practices outside formal healthcare organisations.
The overall aim is to investigate systematically expert and lay perspectives on online networking and diabetes in the UK through the analysis of discourses and practices surrounding the use of Facebook. Methodologically, the project combines linguistic and sociological approaches and develops a framework for a critical and contextual study of online networking and health.
Data description (abstract)
Semi-structured interviews with 36 individuals with either type 1 or type 2 diabetes. The interviews address their diagnosis and current life with diabetes, their use of Facebook and consumption and production of online content in relation to diabetes and its impacts, if any, on their diabetes management.
Data creators: |
Creator Name |
Affiliation |
ORCID (as URL) |
Koteyko Nelya |
Queen Mary University of London |
|
|
Contributors: |
Name |
Affiliation |
ORCID (as URL) |
Hunt Daniel |
Queen Mary University of London |
|
|
Sponsors: |
ESRC
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Grant reference: |
ES/K005103/1
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Topic classification: |
Media, communication and language Health
|
Keywords: |
diabetes, chronic health problems, media use, social networking websites
|
Project title: |
Chronic illness and online social networking: expectations, assumptions, and everyday realities
|
Grant holders: |
Nelya Koteyko, Barrie Gunter
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Project dates: |
From | To |
---|
1 August 2013 | 31 August 2014 |
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Date published: |
02 Sep 2015 15:50
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Last modified: |
06 Feb 2017 15:46
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Collection period: |
Date from: | Date to: |
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14 August 2014 | 28 May 2015 |
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Geographical area: |
UK East Midlands and South East |
Country: |
United Kingdom |
Data collection method: |
Data was collected through one-to-one semi-structured interviews lasting between 40 and 110 minutes.Interviews were audio recorded. Interviews took place in a variety of settings, including participants' homes, university offices, meeting rooms of Diabetes UK and occasionally in public cafes at the participants' requests. Where interview participants agreed, part of the interview involved accessing and viewing their Facebook account (Newsfeed, profile page, groups) using a laptop or their phone to discuss diabetes-related content that they accessed through Facebook. Unfortunately, the records of this (screenshots, browsing history) are not available through this archive. |
Observation unit: |
Individual |
Kind of data: |
Text |
Type of data: |
Qualitative and mixed methods data |
Resource language: |
English |
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Data sourcing, processing and preparation: |
Participants were suitable for inclusion in the study if they were between 18 and 65, had a form of diabetes and used social media websites in relation to their condition (or had previously done so). Participants were sampled to provide a range of men and women with type 1 and type 2 diabetes from European, South Asian and African-Carribean backgrounds. Difficulties in securing participation of men with type 2 diabetes within the project timeframe means they are under-represented in the dataset.
Interviews were audio recorded, transcribed verbatim by a professional transcriber and checked by the research team. The research team anonymised the transcripts to remove or substitute individual names, workplaces, revealing locations, and smaller Facebook groups and pages to which individual participants belonged. The number of Facebook Friends some participants have are also obscured. Participants have agreed the final versions of their respective transcripts.
Interviews have been analysed through qualitative thematic analysis and discourse analysis/discursive psychology. Publications based on this analysis are forthcoming and will be available through the website listed in the 'Related resources' section.
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Rights owners: |
Name |
Affiliation |
ORCID (as URL) |
Koteyko Nelya |
Queen Mary University of London |
|
|
Contact: |
Name | Email | Affiliation | ORCID (as URL) |
---|
Koteyko, Nelya | n.koteyko@qmul.ac.uk | Queen Mary University of London | Unspecified |
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Notes on access: |
The Data Collection is available for download to users registered with the UK Data Service.
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Publisher: |
UK Data Archive
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Last modified: |
06 Feb 2017 15:46
|
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