Assessing access to diagnosis and adherence to treatment among diabetic patients in Iganga and Bugiri districts, Eastern Uganda
2011 - 2013
Cases of diabetic mellitus are increasing worldwide with biggest increases in Africa and Asia. By 2025, more than 75% of people with diabetes are expected to reside in low income countries. Uganda has experienced an upsurge of diabetes from the records which are mainly from urban centres. There is little documentation on access to diagnosis and adherence to treatment in the rural areas where the majority of the Ugandans live.
The aim is to assess access to diagnosis and adherence to treatment for diabetic patients in rural communities in Eastern Uganda. Specifically, beliefs about the symptoms and treatment of diabetes mellitus among rural communities will be explored, care seeking patterns for diabetic patients described, factors associated with access to diagnosis and treatment for diabetes mellitus assessed and perceptions of patients on diabetic treatment explored. In addition, the effect of diabetic education on adherence to treatment will be assessed.
The study area will be two rural based hospitals in Eastern Uganda (Iganga and Bugiri) and the communities that surround them. Focus group discussions and key informant interviews will be done in communities exploring community perceptions as well as at the hospitals exploring perceptions of the diabetic patients. Survey questionnaires will be conducted among the diabetic patients to assess their care seeking patterns and factors that could be associated with diagnosis and treatment. A baseline will be done to assess adherence to treatment and diabetic education will be conducted in one hospital first then an assessment and in another hospital and then the third assessment. Data from FGDs and KI interviews will be transcribed, typed and translated into English if in Lusoga, NUD*IST computer package will be used in analysis. Univariate, stratified and bivariate analysis will be done to determine frequencies, proportions and odds. If some variables become significant, multinomial logistic regression analysis will be done. Ethical clearance will be sought from the respective bodies. Written informed consent will be sought from the participants.