Information behaviours of people with type 2 diabetes in Kuwait: a grounded theory study
Zainab Meer1,2, Ebaa Al-Ozairi3, Genevie Fernandes4
1Leeds Beckett University, Leeds, UK.
Background:
Relative to country-specific epidemiological trends, Kuwait experiences a far greater burden of type 2 diabetes among its population. Information behaviours form a significant component of self-care management for patients diagnosed with type 2 diabetes, however this remains an understudied aspect of disease management. This study aims to investigate the information behaviours of patients with type 2 diabetes in Kuwait, and characterise the methods employed to manage their disease.
Methods:
This qualitative study employed a grounded theory method. Semi-structured interviews were conducted with twenty-seven participants over three phases of data collection in primary, secondary and tertiary healthcare settings across Kuwait. These were complemented by in-depth interviews to detail the information behaviours of these participants. The interviews were translated where appropriate, transcripts, and analysed through qualitative coding to synthesise the information behaviour patterns.
Results:
The findings demonstrated that living with type 2 diabetes involved a range of developmental and transformative stages, including changes to the patients' emotional state, reconstruction of their lifestyle and identity, and changes in the ways they find and use information. Living with the chronic condition was viewed as a dynamic and transitional process, where patients' information behaviours continually changed throughout the process across various identifiable stages. This dynamic pattern was reflected most prominently across the participants' behavioural needs, sources and information-seeking patterns.
Conclusion:
Patients with type 2 diabetes continuously adapted their information behaviours to optimise the self-management of their condition across a relatively predictable pattern. Greater understanding of these behaviours across a wider population would improve the provision of clinical care for patients with diabetes.
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