Abstract
Background: Diabetes mellitus is a serious condition with potentially devastating complications that affects all age groups worldwide. The purposes of this study are to describe the glycemic control levels and to determine the associated factors of poor glycemiccontrol among type 2 diabetes patients followed in Najran Armed Forces Hospital. Methods:We conducted a retrospective analysis of administrative data from adult patients with diabetes type 2 followed in NAFH clinics. To be included in the pilot study, patients needed to meet the following criteria: 1) Be identified as having diabetes type 2 using algorithms employed by disease management oasis program; 2) Be at least aged 18; 3) Be male or female; 4) Have Fasting Plasma Glucose (FPG) and HbA1c measured at least twice during the last year. Both univariate and multivariate approaches of logistic regression were applied to determine factors associated with poor glycemic control. Results: Data from a total of 100 patients were analyzed. There were 22% of patients that achieved glycemic control. The risk factors associated with poor glycemic control were being female, age
Highlights
Diabetes mellitus (DM) is considered one of the most common non-communicable diseases worldwide [1] [2]
According to the International Diabetes Federation’s (IDF) statistics released 75% of that figure will be from developing countries [3]
Five of the top ten countries estimated to have the highest prevalence of diabetes are from the Middle East and North Africa region (MENA)
Summary
Diabetes mellitus (DM) is considered one of the most common non-communicable diseases worldwide [1] [2]. To be included in the pilot study, patients needed to meet the following criteria: 1) Be identified as having diabetes type 2 using algorithms employed by disease management oasis program; 2) Be at least aged 18; 3) Be male or female; 4) Have Fasting Plasma Glucose (FPG) and HbA1c measured at least twice during the last year. Both univariate and multivariate approaches of logistic regression were applied to determine factors associated with poor glycemic control. Barriers that prevent these patients from meeting their goals must be explored to improve health outcomes
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