AIM: This study aimed to evaluate the prevention of diabetic depression and its impact on medical costs through the implementation of a step count monitoring system using information and communication technology. METHODS: This study carried out a longitudinal analysis of a prospective cohort. A total of 296 participants were enrolled in the intervention group and 882 participants in the control group. The participants in the intervention group were provided with pedometers, which each participant was asked to scan using devices stationed throughout the city. Activity data were stored in real time by a cloud system. The experiment lasted 30 months. RESULTS: None of the diabetes patients in the intervention group was diagnosed with depression during the study period, compared with 4.09% in the control group. Thus, the intervention suppressed the increase in medical costs for the people who did not develop depression in the diabetic group. CONCLUSIONS: The prevalence rate of depression among the participants with diabetes was lowered significantly. The medical costs of the participants who did not have diabetes were also reduced by implementing the step count monitoring system with information and communication technology. This shows that the use of an information and communication technology pedometer system can have favorable effects in terms of preventing depression in diabetes patients and further benefits for non-diabetic people. Geriatr Gerontol Int 2019; 19: 1147-1152.
AIM: This study aimed to evaluate the prevention of diabetic depression and its impact on medical costs through the implementation of a step count monitoring system using information and communication technology. METHODS: This study carried out a longitudinal analysis of a prospective cohort. A total of 296 participants were enrolled in the intervention group and 882 participants in the control group. The participants in the intervention group were provided with pedometers, which each participant was asked to scan using devices stationed throughout the city. Activity data were stored in real time by a cloud system. The experiment lasted 30 months. RESULTS: None of the diabetespatients in the intervention group was diagnosed with depression during the study period, compared with 4.09% in the control group. Thus, the intervention suppressed the increase in medical costs for the people who did not develop depression in the diabetic group. CONCLUSIONS: The prevalence rate of depression among the participants with diabetes was lowered significantly. The medical costs of the participants who did not have diabetes were also reduced by implementing the step count monitoring system with information and communication technology. This shows that the use of an information and communication technology pedometer system can have favorable effects in terms of preventing depression in diabetespatients and further benefits for non-diabetic people. Geriatr Gerontol Int 2019; 19: 1147-1152.
Keywords:
diabetic depression; monitoring system with information and communication technology; pedometers; prospective cohort study; walking intervention