Description
Abstract
This statistical project looks at Monitoring diabetic patients using statistical process control. The study investigated the use of statistical process control technique in monitoring and controlling diabetic patients. The aim of the study was to highlight the importance of X-bar and R-chart in monitoring the blood sugar level of patients’ with diabetes. The study examined the blood sugar level of 20 diabetic patients for the period of 12months which were analyzed using the control chart for variables 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 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 that the expected upper allowable limit. The study concludes that the use of statistical process control technique is effective in monitoring and control the blood sugar level of diabetic patients since the technique is capable of estimating and describing patients’ health whose blood sugar level is being affected by either random causes of the diabetic condition or an assignable cause of the diabetic condition and hence the statistical process control technique is recommended for use in the health sector.
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