The Effects of the IDEAL Model-Based Care and Discharge Planning Program on Knowledge, Glycated Hemoglobin Levels, Discharge Readiness, and Readmission Rates in Diabetic Patients
Keywords:
IDEAL Model program, Diabetic patients, Discharge planningAbstract
This research aimed to investigate the effects of the IDEAL Model-based care and discharge planning program on diabetes knowledge, glycated hemoglobin levels, discharge readiness, and readmission rates in diabetic patients. The study employed a quasi-experimental, one-group pretest-posttest design. The sample consisted of 16 diabetic patients who had been readmitted within 28 days at Ban Khok Hospital, Uttaradit Province. The research instruments included the IDEAL Model program, a diabetes knowledge questionnaire, a discharge readiness assessment form, and a readmission record form. Data were analyzed using descriptive statistics and inferential statistics, including the Wilcoxon Signed-Rank Test and Fisher's Exact Test.
The results showed that after the program implementation, patients' diabetes knowledge increased significantly (Z = -3.516, p < 0.001), glycated hemoglobin (HbA1C) levels decreased significantly (Z = -3.536, p < 0.001), discharge readiness improved significantly (Z = -3.527, p < 0.001), and readmission rates decreased significantly (Fisher's Exact Test, p < 0.05). In conclusion, the IDEAL Model-based care and discharge planning program effectively improved knowledge, reduced glycated hemoglobin levels, enhanced discharge readiness, and decreased readmission rates in diabetic patients.
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