In the next 45 years, the number of dementia patients will be increased by 36 patients per day in Taiwan according to the report from Taiwan Alzheimers Disease Association in 2018. That is, a dementia patient is identified every 40 minutes. Among the types of dementia, Alzheimer’s disease is the most common, the rate of women with dementia is higher than that of men, and the majority of patients with Alzheimer’s disease are women. Therefore, this study based on the dementia patients of a medical center in central Taiwan focuses on female Alzheimer’s disease, and further analysis of the need for care targets is performed in order to identify hidden knowledge to contribute to medical management. The patients are from a medical center in central Taiwan. From January 2014 to May 2018, there are 99 valid data sets from the database of dementia patients. Demographic variables include gender of the patient (women only), type of dementia (Alzheimer’s disease only), age of the patient, severity of dementia, and 15 care targets. The study is to consider age of the patient and severity of dementia as input variables, whereas care target is considered as both input and output variables. In the Apriori algorithm, the degree of lift is set to be greater than 1. The support and confidence are set to 10% and 90%, respectively. There are 405 rules obtained. The results show that the five main care targets including appropriate activities, regular outpatient follow-up treatment, introduction and referral of social resources, referral to family support groups and care skills training, and behavioral and psychological symptoms of dementia (BPSD) treatment are considered as a group of basic care needs for women with Alzheimer’s disease. Practically, the results can be a reference for hospital management, medical staff, caregivers, and female patients with Alzheimer’s disease in order to provide a person-centered and integrated care for female patients with Alzheimer’s disease.
All Science Journal Classification (ASJC) codes
- Safety, Risk, Reliability and Quality
- Management Science and Operations Research