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Social Support in a Diabetes Online Community: Mixed Methods Content Analysis
Cidila Da Moura Semedo1, Peter A Bath1, Ziqi Zhang2
1Health Informatics Research Group, Information School, University of Sheffield, Sheffield, United Kingdom.
Online health communities offer crucial social support for diabetes patients. Informational support is most frequent, but needs vary by diabetes stage, with prediabetes users seeking information and remission users seeking achievement and network support.
Area of Science:
- Social Science
- Health Informatics
- Psychology
Background:
- Diabetes patients have evolving needs based on their disease stage.
- Online health communities facilitate information exchange and social support.
- Tailoring support in these communities can improve diabetes management.
Purpose of the Study:
- To explore and quantify social support categories within an online diabetes community.
- To analyze these patterns across different diabetes stages: prediabetes, type 2 diabetes (T2D), T2D with insulin, and T2D remission.
Main Methods:
- Mixed methods content analysis of 1841 posts from Diabetes.co.uk.
- Qualitative analysis to identify support categories.
- Quantitative analysis (chi-square) to compare categories across diabetes stages.
Main Results:
- Seeking and providing informational support were the most common exchanges.
- Social support distribution significantly differed across diabetes stages.
- Prediabetes users sought more informational support; T2D with insulin users provided more support; T2D remission users sought achievement and network support.
Conclusions:
- This study provides novel insights into the timing and type of social support beneficial for different diabetes stages.
- Findings can inform the strategic use of online communities to enhance diabetes self-management.
- Stakeholders can leverage this data to optimize support delivery in digital health platforms.
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