Hypertension prevalence, awareness, treatment and control in Ghanaian population: Evidence from the Ghana demographic and health survey.
Olutobi Adekunle SanuadeSandra BoatemaaMawuli Komla KushitorPublished in: PloS one (2018)
Hypertension is a major cause of cardiovascular disease morbidity and mortality in Ghana. This study examines the prevalence, awareness, treatment and control of hypertension among Ghanaian aged 15-49 years. This cross-sectional study retrieved data from the 2014 Ghana Demographic and Health Survey (GDHS). The sample, comprising of 13,247 respondents aged 15-49 years, was analysed using descriptive statistics, Chi-Square tests, independent sample t-tests and binary logistic regressions. The overall prevalence of hypertension was 13.0% (12.1% for males and 13.4% for females). Among respondents who had hypertension, 45.6% were aware of their hypertension status; 40.5% were treating the condition while 23.8% had their blood pressure controlled (BP <140/90 mmHg). Socio-economic and demographic factors, health insurance coverage and recent visit to health facilities played significant roles in hypertension prevalence and awareness. While region of residence and health facility visits were predictors of hypertension treatment, age and region of residence predicted hypertension control in this population. This study suggests that in order to address the increasing burden of hypertension in Ghana, there should be an expansion of the National Health Insurance Scheme and development of measures to reduce health inequities. Also, some of the determining factors such as age, gender, marital status are similar to other cultures; therefore, existing interventions from those cultures could be adapted in addressing hypertension prevalence, awareness, treatment and control in Ghana.
Keyphrases
- blood pressure
- health insurance
- cardiovascular disease
- hypertensive patients
- healthcare
- risk factors
- heart rate
- mental health
- risk assessment
- coronary artery disease
- skeletal muscle
- social media
- affordable care act
- deep learning
- machine learning
- smoking cessation
- cardiovascular events
- artificial intelligence
- weight loss
- health promotion