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Predictors of anti-glycaemic medication-taking among adults with diabetes mellitus seeking care in a tertiary hospital in Cape Coast, Ghana
OBJECTIVES: 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). DESIGN: This was a cross-sectional study carried out among adults living with diabetes and receiving...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Ghana Medical Association
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10336634/ https://www.ncbi.nlm.nih.gov/pubmed/37448989 http://dx.doi.org/10.4314/gmj.v56i3.10 |
Sumario: | OBJECTIVES: 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). DESIGN: 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. SETTING: The study was carried out in the diabetes clinic in Cape Coast Teaching Hospital. PARTICIPANTS: The total enumerative sampling technique was used to select 250 adults living with diabetes and receiving care at CCTH. MAIN OUTCOME MEASURES: Anti-glycaemic medication-taking RESULTS: 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). CONCLUSION: 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. FUNDING: None declared |
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