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Navigating decisional conflict: laser peripheral iridotomy for primary angle-closure glaucoma prevention
Yi-Jie Chen1, Jing-Yao Dai1, Rong-Rong Le2
1School of Ophthalmology and Optometry, Biomedical Engineering, Wenzhou Medical University, Wenzhou 325027, Zhejiang Province, China.
Aim:
To investigate decisional conflict among patients diagnosed with primary angle-closure suspect (PACS) or primary angle-closure (PAC) who are considering laser peripheral iridotomy (LPI) treatment.
Methods:
A total of 111 individuals diagnosed with PACS or PAC were selected through convenient sampling from March 2023 to December 2023. These participants then completed a general information questionnaire and the Decision Conflict Scale. Data analysis was performed using multiple linear regression to reveal factors influencing decisional conflict.
Results:
The mean Decisional Conflict Score among patients with PACS or PAC was 48.58±10.01, with 99.1% of these individuals reporting experiencing decisional conflict. Multiple linear regression analysis revealed that females (P=0.002) and patients with a shorter duration of the disease (P=0.006) had higher levels of decisional conflict. Additionally, patients diagnosed during medical visits (P=0.049), those who refused LPI treatment (P=0.032), and individuals facing significant economic burdens related to medical expenses (P=0.005) exhibited higher levels of decisional conflict. Furthermore, patients who preferred to make medical decisions independently (P=0.023) and those who favored involving family members in decision-making (P=0.005) experienced increased levels of decisional conflict.
Conclusion:
Patients with PACS or PAC who undergo LPI treatment often encounter significant decisional conflict. Healthcare professionals should thoroughly assess a range of factors that influence this conflict, including gender, duration of disease, method of diagnosis acquisition, LPI treatment, economic burden of medical expenses, and patient preferences regarding medical decision-making. By considering these variables, tailored decision support can be developed to address individual patient needs, ultimately reducing decisional conflict and optimizing the quality of decisions made regarding treatment options.
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