Application of statistical process control in monitoring blood sugar level

Description

Abstract

Application of statistical process control in monitoring blood sugar level. The prevalence of diabetes in the human system can damage blood vessels and lead to heart disease and stroke. In order to control the effects of diabetes on diabetic patients, there is a need to adequately control their blood sugar levels. This study, therefore, seeks to examine the use of this process control in the monitoring controlling of diabetes amongst patients. The study sourced data from the General Hospital Oghara, Delta State which were examined using the control chart for variables, specifically the use of X-bar and R-chart through the use of SPSS package. The findings of the study reveal that an average of 130mg/dL blood sugar level is expected for every diabetic patient health profile examined. However, the result indicated that for controlled diabetic patients’ health, the blood sugar level of the patients is expected to reduce to 127mg/dL while uncontrolled health status will vary up to about 133mg/dL (allowable random variation). The result further pointed out that the patient in sample 10 has an extreme condition of diabetes which requires a critical medical examination since the patient’s blood sugar level profile is way higher than the expected upper allowable limit..