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Using the Apriori Algorithm to Explore Caregivers’ Depression by the Combination of the Patients with Dementia and Their Caregivers

机译:利用APRiori算法探讨了痴呆患者和护理人员患者的组合探索护理人员的抑郁症

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Purpose:The purpose of this study was to identify the caring scenarios that result in severe depression in caregivers caring for dementia patients.Patients and Methods:A cross-sectional study with 1111 dementia patients and their caregivers in Taiwan from October 2015 to January 2020 was conducted. Gender, age, type of dementia, clinical dementia rating, walking ability, mood symptoms, behavioral symptoms, and psychological symptoms were the variables from the dementia patients. Age, relation to the patient, employment, type of primary care, frequency of care, mood symptoms, and the score from the Center for Epidemiologic Studies Depression Scale were the variables from the caregivers. A comprehensive viewpoint of both dementia patients and their caregivers was evaluated by the Apriori algorithm to find the attributes resulting in different caregiving depressions.Results:Forty-seven rules were found with 18 rules of mild depressive symptomatology, 17 rules of moderate depressive symptomatology, and 12 rules of severe depressive symptomatology. A total of 7 general rules were summarized to be the severe depressive symptomatology. The results showed that an unemployed or retired caregiver with the mood symptoms such as helplessness, anger, emotional liability, or anxiety who took care of AD patients or AD patients with a moderate severity would have severe depression. Increased care frequencies (≥6 days per week) and multiple mood problems from caregivers result in severe depression. The composition of adult children, patients' aggression, and caregivers' helplessness as well as the combinations of male patients aged 75-84 years with the caregiver's mood of helplessness or nervousness and hopelessness were highly associated with severe depression.Conclusion:For those caring for AD patients, severe depression was associated with the combination of different parameters to constitute each of these seven scenarios. Unlike previous studies which often evaluated one or two variables related to caregiver's depression, this study provided a more comprehensive viewpoint that enabled the collaborative team to efficiently identify and manage different scenarios by summarizing the rules of caregivers with severe depression from a systematic viewpoint.? 2021 Chang et al.
机译:目的:本研究的目的是识别导致护理人员严重抑郁症的关怀患者患者患有痴呆症患者的关怀情景:从2015年10月到2020年10月到2020年10月的1111名痴呆患者及其护理人员的横断面研究实施。性别,年龄,痴呆症类型,临床痴呆评级,行走能力,情绪症状,行为症状和心理症状是痴呆患者的变量。年龄,与患者的关系,就业,初级保健类型,护理频率,情绪症状,以及流行病学研究中心的分数是护理人员的变量。 APRiori算法评估了痴呆症患者及其护理人员的综合性观点,以找到所产生不同的护理抑郁症的属性。结果:有47条规则,具有18个轻度抑郁症状学规则,17个中度抑郁症状的规则,和12严重抑郁症状的规则。总结了7个一般规则是严重的抑郁症状学。结果表明,失业或退休的护理人员具有无助,愤怒,情感责任或照顾AD患者或AD患者的无助,愤怒,情感责任或焦虑,具有中度严重程度的患者将具有严重的抑郁症。增加护理频率(每周≥6天)和护理人员的多种情绪问题导致严重的抑郁症。成人儿童,患者侵略和护理人员的组成以及护理人员的无助或神经性和无望和无望的男性患者的组合以及75-84岁的患者的无助或无望和无望的患者与严重的抑郁有关。结论:对于那些照顾的人AD患者,严重抑郁症与不同参数的组合有关,以构成这七种情景中的每一个。与以前的研究不同,这些研究通常会评估与护理人员的抑郁症有关的一个或两个变量,提供了更全面的观点,使协作团队能够通过总结具有系统观点的严重抑郁的护理人员规则来有效地识别和管理不同的情景。 2021张等人。

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