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Exploring the Health Literacy and Patient Activation Among Patients with Glaucoma: A Cross-Sectional Study
Lοukia Tsichla1, Evridiki Patelarou1, Efstathios Detorakis2
1Department of Nursing, School of Health Sciences, Hellenic Mediterranean University, 71410 Heraklion, Greece.
Abstract:
Background: Glaucoma is one of the leading causes of blindness that can be mitigated through early recognition and effective management. Specifically, early and effective self-management outside hospitals can slow disease progression and reduce its negative daily impact. This includes adherence to medication, high levels of health literacy (requires patients to be able to find, understand, and use relevant health information), early recognition of symptoms, regular visits to ophthalmologists, etc. However, there is a lack of empirical evidence regarding levels of adherence to medication and health literacy in glaucoma patients in Greece. This study aimed to assess health literacy and self-management activation levels in glaucoma patients and explore the relationship between these factors. Materials and Methods: A total of 312 glaucoma patients were recruited from outpatient ophthalmology clinics in Heraklion, Greece, between November 2023 and May 2024 through convenience sampling. The Greek versions of the Patient Activation Measure-13 (PAM-13) and the European Health Literacy Survey Questionnaire 16 (HLS-EU-16) evaluated self-management activation and health literacy, respectively. Results: Patients exhibited low self-management activation (level 1: disengaged and overwhelmed, =40.7, SD: ±29.9) and sufficient health literacy (=10.7, SD: ±3.7). No significant association was found between health literacy and self-management activation (p = 0.602). Conclusions: Glaucoma patients had low to moderate levels of self-management activation and health literacy, without a significant association between them. Therefore, multifaceted strategies are needed to enhance these patients' activation and health literacy. Further research, using larger, multi-center samples, is needed to clarify the link between these variables.
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