RESUMO
INTRODUCTION: Diabetes mellitus (DM) is an important global public health challenge, and the burden of the disease is huge, particularly in low- and middle-income countries (LMICs), where the majority of people with this condition reside. Undiagnosed DM is more prevalent in LMICs. The aim of this study is to determine the prevalence and associated factors for DM in Ekiti State. MATERIALS AND METHODS: A cross-sectional, household-based survey using a four-stage multistage sampling design and the World Health Organization (WHO)-STEPS survey manual was conducted from July to September 2020 as a part of the Ekiti State coronavirus disease 2019 (COVID-19) survey. Of the 5,145 sampled households, 4,726 individuals gave consent to participate in the survey. Out of these, 3043 had fasting plasma glucose results available and were included in the analysis. RESULTS: There were 2257 (74.2%) women and 786 (25.8%) men. The prevalence of DM was 6.5% (6.5% in males and 6.6% in females, P = 0.946). Diabetes was found to be more prevalent among those with a secondary school education or higher (10.9%); employed in the formal sector (13.4%); separated, divorced, or widowed (8.5%); with raised blood pressure (9.3%); and who were aged 30-59 years (all P < 0.05). Multivariable logistic regression showed that age, education, occupation, and hypertension were all positively and significantly associated with an increased risk of DM. CONCLUSION: The prevalence of DM in Ekiti State is high, and its predictors include advancing age, hypertension, education, and occupation. This calls for scaling up public health interventions for controlling DM, targeting the identified risk factors among the people of Ekiti.
RESUMO
BACKGROUND: Inappropriate medication prescription among the elderly is a major problem with significant negative health consequences. The Beers and STOPP (Screening Tool of Older Persons' potentially inappropriate Prescription) criteria are common tools used for screening of potentially inappropriate medications. The primary objective of the study was to estimate the incidence of PIM among elderly Nigerian patients using the earlier mentioned tools. METHODOLOGY: This prospective study was conducted among elderly patients attending the general outpatients' clinics of two tertiary healthcare institutions in the South-Western part of Nigeria. The patients' age, gender, diagnosis for which the patient was receiving treatment and prescribed drugs were the information retrieved from the medical records. The WHO drug use indicators were applied in the drug utilization aspect of the study while the Beers and STOPP criteria were used to define the inappropriateness or otherwise of the prescribed medications. RESULTS: The mean number of drugs per prescription was 4.1 ± 1.2 while the median number of drugs prescribing by generic name was 46.5% (IQR: 35). Using Beers criteria for the assessment of prescription of potentially inappropriate medications, 106 (30.3%) of all patients had at least one inappropriate medication prescribed with a total of one hundred and twenty six cases recorded. Screening for PIM using the STOPP criteria, we found 55 (15.7%) of the study participants with at least one potential encounter. Female sex, number of prescribed medications and co-morbidities were positively associated with prescription of a PIM using both tools. CONCLUSION: Prescription of PIM is highly prevalent among elderly Nigerian patients. There is a need for continuing education of prescribers on rational prescribing in the elderly using some of the screening tools.
