利用Apriori演算法探討失智症患者於照護者壓力之影響：以中部醫學中心為例

USING APRIORI ALGORITHM TO EXPLORE THE INFLUENCE OF PRESSURE FROM PATIENTS WITH DEMENTIA ON CAREGIVERS FROM A MEDICAL CENTER IN TAIWAN

10.6220/joq.201912_26(6).0004

陳玟均(Wen-Jun Chen)；王文甫(Wen-Fu Wang)；呂郁蕙(Yu-Huei Liu)；張凱茗(Kai-Ming Jhang)；陳富滿(Fu-Man Chen)；葉瓊鈺(Chiung-Yu Yeh)；林哲瑋(Che-Wei Lin)；康宜靜(Yi-Ching Kang)；張倩蜜(Chien-Mi Chang)；王釧如(Chuan-Ju Wang)；吳信宏(Hsin-Hung Wu)

失智症 ； 照護者 ； 壓力 ； 關聯規則 ； dementia ； caregiver ； pressure ； association rule

品質學報

26卷6期（2019 / 12 / 30）

395 - 418

繁體中文

以中部醫學中心失智症病患與照護者為例，利用Apriori演算法探討照護者面對不同失智症病患所產生的壓力程度，進一步對照護者提供更好的醫療服務。收集對象為中部醫學中心失智症資料庫篩選出234筆有效資料進行研究。其中14項人口統計變數：病患性別、年齡、失智症類型、失智症嚴重程度、自主活動、照護者年齡、婚姻情況、與病患關係、工作情況、照顧模式、頻率、項目、情緒以及照護者壓力程度，此14項分別為中部某醫學中心照護者與患者基本問卷資料，設定支持度為2%、信賴度為100%及提升值大於1，篩選過後得到281條規則，找出其彼此與壓力間關聯性，分為四個壓力程度做探討。從規則中可知，當照護者壓力程度為中度至重度時整理出11條通則，而壓力為輕度至中度時整理出11條通則，若醫院遇到這些通則之失智症病患與照護者，即可多加注意，並提供其關懷與輔導，降低照護者壓力，也提升醫院服務品質。

This study analyzes the dementia patients and caregivers from a medical center in central Taiwan as an example. Apriori algorithm was used to explore the degree of stress faced by caregivers in different dementia patients in order to provide better medical services to the caregivers. Two hundred and thirty-four effective data sets from the dementia database of this medical center were used with 14 demographic variables in this study including gender, age, type of dementia, severity of dementia, activity, age of caregivers, marital status, relationship with the patient, working status, care mode, care frequency, care item, caregiver's mood as well as the degree of pressure of the caregiver. The parameters of support, confidence, and lift are set to 2%, 100%, and greater than 1, respectively. Two hundred and eighty-one rules are obtained. Eleven rules are generated when the caregiver's stress level is moderate to severe. Eleven rules are found when the caregiver's stress level is mild to moderate. If the dementia patients and caregivers reach the similar scenarios, the hospital can pay much attention to caregivers to reduce their stress and, therefore, improve the quality of healthcare.

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