Greater Accra Regional Hospital, Ridge, Accra.
Department of Community Medicine, School of Medical Sciences, University of Cape Coast, Cape Coast.
Ghana Med J. 2022 Sep;56(3):198-205. doi: 10.4314/gmj.v56i3.10.
This study sought to assess the level of anti-glycaemic medication-taking and its predictors among adults living with diabetes receiving treatment at Cape Coast Teaching Hospital (CCTH).
This was a cross-sectional study carried out among adults living with diabetes and receiving care at CCTH. Data on socio-demographic characteristics and anti-glycaemic medication-taking were gathered using a structured questionnaire. A scale consisting of 4 domains (filling prescribed medication; taking medications appropriately according to the instructions of healthcare professionals; practising behavioural modifications, and showing up for follow-up appointments) and eight items was used to measure the level of anti-glycaemic medication-taking. Descriptive statistics, chi-square test (and Fisher's exact test where appropriate), bivariate and multivariate logistic regression models were used in analysing the data.
The study was carried out in the diabetes clinic in Cape Coast Teaching Hospital.
The total enumerative sampling technique was used to select 250 adults living with diabetes and receiving care at CCTH.
Anti-glycaemic medication-taking.
Out of 250 participants studied, 42% had high anti-glycaemic medication-taking. Predictors of anti-glycaemic medication-taking included; forgetfulness (aOR=0.02, 95% CI: 0.00-0.64, p<0.001), patient's involvement in treatment plan (aOR=0.12, 95% CI: 0.02-0.64, p=0.014) and having good knowledge about one's medication (aOR=2.34, 95% CI: 1.10-4.98, p=0.028).
Less than half of the sample population (42%) had high anti-glycaemic medication-taking, with forgetfulness, involvement in the treatment plan and good knowledge about anti-glycaemic medications, predicting medication-taking.
None declared.
本研究旨在评估在科特迪瓦海岸教学医院(CCTH)接受治疗的糖尿病患者的降糖药物服用水平及其预测因素。
这是一项横断面研究,在 CCTH 接受治疗的成年糖尿病患者中进行。使用结构化问卷收集社会人口统计学特征和降糖药物服用数据。使用一个由 4 个领域(填写规定的药物;根据医疗保健专业人员的指示适当服用药物;实施行为改变;以及按时参加随访预约)和 8 个项目组成的量表来衡量抗血糖药物的服用水平。采用描述性统计、卡方检验(和 Fisher 确切检验,在适当情况下)、双变量和多变量逻辑回归模型对数据进行分析。
该研究在科特迪瓦海岸教学医院的糖尿病诊所进行。
采用总枚举抽样技术选择 250 名在 CCTH 接受治疗的成年糖尿病患者。
抗血糖药物服用。
在 250 名研究参与者中,42%的人有较高的抗血糖药物服用水平。抗血糖药物服用的预测因素包括:健忘症(优势比[OR]=0.02,95%置信区间[CI]:0.00-0.64,p<0.001)、患者参与治疗计划(OR=0.12,95% CI:0.02-0.64,p=0.014)和对药物有较好的了解(OR=2.34,95% CI:1.10-4.98,p=0.028)。
不到一半的样本人群(42%)有较高的抗血糖药物服用水平,健忘症、参与治疗计划和对降糖药物的了解程度较好,可预测药物服用。
无。