Department of Statistics, Dilla University, Dilla, Ethiopia.
Department of Statistics, Bahir Dar University, Bahir Dar, Ethiopia.
BMC Ophthalmol. 2022 Jun 7;22(1):254. doi: 10.1186/s12886-022-02431-w.
Because of the increase in the number of cases, currently, glaucoma is a significant public health issue that it leads to optic nerve damage and vision loss. High Intraocular Pressure reading indicates that the treatment given to a glaucoma patient is not sufficient/ adequate. Hence, the elevation of intraocular pressure is one of the indicators that, the therapy given to glaucoma patients under treatment is inadequate. Therefore, the main objective of the current study was to investigate predictors for the variation of elevation of IOP readings on glaucoma patients.
A retrospective cohort study design was conducted on 1254 glaucoma patients, whose followed-ups were from September 2015 to August 2016 at Felege Hiwot Teaching and Specialized Hospital, North West Ethiopia. Data analysis was conducted using Statistical Analysis of Systems (SAS) software version 9.2 and AMOS software. The parameter estimation was conducted using the maximum likelihood estimation technique.
Main effects like age (β = 0.01, t-value = 0.15, p-value = 0.018), patients with normal blood pressure (β = -3.35, t-value = -2.28, p-value = 0.0263), patients without diabetics (β = -3.79, t-value = -2.47, p-value = 0.014), visiting times (β = -6.00, t-value = -5.02, p-value = 0.0001), farmer glaucoma patients (β = -6.04, t-value = 3.87, p-value = 0.0001) had significant and indirect effect for the variation of elevation of IOP on glaucoma patients. Interaction effects like visiting time with existence of diabetes, visiting time with cataract surgery significantly effected on the variable of interest. Hence, both main and interaction effects had significant effects on the variable of interest. This study had identified socio-demographic characteristics, personal/individual behaviors, and clinical factors for the variation of elevation of IOP. The findings, in the current investigation, help health staff to conduct health-related education for awareness creation. Health-related education, about the progression of glaucoma, should be conducted on patients.
由于病例数量的增加,目前青光眼是一个严重的公共卫生问题,它会导致视神经损伤和视力丧失。高眼压读数表明对青光眼患者的治疗不够充分/足够。因此,眼压升高是治疗中青光眼患者治疗不足的指标之一。因此,本研究的主要目的是探讨青光眼患者眼压升高变化的预测因素。
对 2015 年 9 月至 2016 年 8 月在埃塞俄比亚西北部 Felege Hiwot 教学和专科医院接受随访的 1254 例青光眼患者进行回顾性队列研究。数据分析使用统计分析系统(SAS)软件版本 9.2 和 AMOS 软件进行。使用最大似然估计技术进行参数估计。
主要影响因素如年龄(β=0.01,t 值=0.15,p 值=0.018)、血压正常的患者(β=-3.35,t 值=-2.28,p 值=0.0263)、无糖尿病患者(β=-3.79,t 值=-2.47,p 值=0.014)、就诊次数(β=-6.00,t 值=-5.02,p 值=0.0001)、农民青光眼患者(β=-6.04,t 值=3.87,p 值=0.0001)对青光眼患者眼压升高变化有显著和间接影响。就诊时间与糖尿病存在、就诊时间与白内障手术的交互效应对研究变量有显著影响。因此,主要影响因素和交互效应对研究变量有显著影响。本研究确定了眼压升高变化的社会人口统计学特征、个人/个体行为和临床因素。本研究的发现有助于卫生工作者开展健康教育,提高认识。应该对青光眼患者进行有关青光眼进展的健康教育。