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印度南部青光眼患者随访不佳的预测因素及相关障碍

Predictors of and barriers associated with poor follow-up in patients with glaucoma in South India.

作者信息

Lee Bradford W, Sathyan Parthasarathi, John Rajesh K, Singh Kuldev, Robin Alan L

机构信息

Department of Ophthalmology, Stanford University, Palo Alto, CA 94306, USA.

出版信息

Arch Ophthalmol. 2008 Oct;126(10):1448-54. doi: 10.1001/archopht.126.10.1448.

Abstract

OBJECTIVES

To determine predictors of and reasons for poor longitudinal glaucoma follow-up in South India.

METHODS

This 1-to-1, matched, case-control study enrolled 300 patients with established glaucoma. We defined cases (poor follow-up) and controls (good follow-up) based on number of and maximum interval between glaucoma follow-up visits attended in the preceding year. We collected data by oral questionnaire and used stepwise multivariate logistic regression to calculate odds ratios (ORs) for poor follow-up.

RESULTS

Adjusting for age and sex, independent predictors of poor follow-up included lack of formal education (adjusted OR, 4.13; 95% confidence interval [CI], 1.44-11.90), no use of prescribed glaucoma medications (adjusted OR, 2.17; 95% CI, 1.06-4.43), and belief that follow-up is less important if one uses glaucoma medications and has no noticeable visual changes (adjusted OR, 10.59; 95% CI, 3.74-29.97). Age, sex, and disease severity were not significant predictors. The most prevalent barriers to follow-up were belief that there was no problem with one's eyes (44.4%) and lack of escort (19.7%).

CONCLUSIONS

Knowing predictors of poor follow-up can help identify patients who need individualized strategies to improve follow-up. Because believing one's eyes are problem-free and lacking escorts are significant barriers to follow-up, novel strategies in patient education (eg, intensive counseling, audiovisual aides, and patient support groups) and escort provision may improve longitudinal glaucoma follow-up and disease management.

摘要

目的

确定印度南部青光眼纵向随访不佳的预测因素及原因。

方法

这项1:1匹配的病例对照研究纳入了300例确诊青光眼患者。我们根据上一年青光眼随访就诊次数及最大间隔时间定义病例组(随访不佳)和对照组(随访良好)。通过口头问卷收集数据,并采用逐步多因素逻辑回归计算随访不佳的比值比(OR)。

结果

校正年龄和性别后,随访不佳的独立预测因素包括未接受正规教育(校正OR,4.13;95%置信区间[CI],1.44 - 11.90)、未使用处方青光眼药物(校正OR,2.17;95%CI,1.06 - 4.43)以及认为使用青光眼药物且无明显视力变化时随访不太重要(校正OR,10.59;95%CI,3.74 - 29.97)。年龄、性别和疾病严重程度不是显著的预测因素。随访最常见的障碍是认为眼睛没问题(44.4%)和缺乏陪同人员(19.7%)。

结论

了解随访不佳的预测因素有助于识别需要个体化策略以改善随访的患者。由于认为眼睛没问题和缺乏陪同人员是随访的重要障碍,患者教育(如强化咨询、视听辅助工具和患者支持小组)及提供陪同人员的新策略可能会改善青光眼纵向随访及疾病管理。

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