Drug therapy and medication adherence in type 2 diabetes in a care facility: A cross sectional survey
Exploratory Research in Clinical and Social Pharmacy(2022)
Abstract
Background
Adherence to medications improves glycaemic control and reduces diabetes-related morbidity and mortality.
Objectives
The study assessed drug therapy for type 2 diabetes, glycaemic control and association of medication adherence with socio-demographic and clinical data, among adult diabetic patients attending a healthcare facility.
Methods
Cross-sectional survey and hospital records were used to obtain data. The study included 200 adults with type 2 diabetes mellitus in a Nigerian healthcare facility. Data on patients clinical characteristics, diabetes drug therapy and medication adherence were collected, entered and anlaysed using SPSS version 24 (P < 0.05). Primary outcome measure was medication adherence among the patients, while secondary outcome measures was glycaemic control.
Results
A total of 200 (100%) respondents participated in the study and the majority 141(70.5%) were over 60 years old. Oral medications were mostly used 187(93.5%), particularly, metformin 199(99.5%) and pioglitazone 100(50.0%), while dipeptidyl peptidase-4 inhibitors were not used at all. Patients mostly had poor glycaemic control 159 (79.5%) and majority 152(76.0%) did not practice self-blood glucose monitoring. Moderate medication adherence was predominant in the population. Class of medicine and socio-demographics were not significantly associated with medication adherence (P > 0.05), unlike results of blood glucose self-tests (p = 0.001).
Conclusion
Oral antidiabetics, particularly metformin and pioglitazone were mostly used. Poor glycaemic control and moderate adherence were found in the patients, and medication adherence was associated with self-glucose monitoring. This emphasises the need for regular diabetes education on medication adherence.
MoreTranslated text
Key words
Nigeria,Type 2 diabetes mellitus,Medication adherence,Glycaemic control,Health facility,Low socio-economic population,Drug therapy
AI Read Science
Must-Reading Tree
Example
![](https://originalfileserver.aminer.cn/sys/aminer/pubs/mrt_preview.jpeg)
Generate MRT to find the research sequence of this paper
Chat Paper
Summary is being generated by the instructions you defined