ArticleGhana medical journal2022
Predictors of anti-glycaemic medication-taking among adults with diabetes mellitus seeking care in a tertiary hospital in Cape Coast, Ghana.
Article in Ghana medical journal, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
1 citing paper in PubMed, 1 citations in OpenAlex.
- Sero-prevalence of Hepatitis B and C at a Primary Health Care Facility in Ghana.African health sciences · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
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.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.