目的 了解老年卧床患者社会活动情况及其影响因素。 方法 2009年12月-2011年2月应用社会功能评估量表对社区及医院325例60岁以上老年卧床患者进行调查。 结果 老年卧床患者社会活动缺乏,主要社会活动为看表演或听收音机、看电视,通过电话与邻居、朋友、亲戚交谈等;较少有人参与宗教、社会事务聚会等活动;极少数人参加工作、做自愿者以及旅游的社会活动。不同的年龄、婚姻状况、经济收入、病情、卧床时间、卧床分级及家庭功能的老年患者社会活动评分差异有统计学意义(P<0.05)。 结论 老年卧床患者社会活动缺乏,参与程度与年龄、婚姻状况、经济收入、病情、卧床时间及分级、家庭功能等多因素密切相关。需加大对老年卧床患者的关注力度,在为其疾症治疗提供帮助的同时,也需从精神、心理方面予以更多的关怀与疏导,为其能主动参与社会活动提供指导和支持。
目的:探讨高龄老人临终治疗方式和地点需求的选择,为临床更好的开展临终关怀护理服务,提高患者生存质量,建立完善的临终关怀服务体系提供科学依据。方法:结合相关量表自行设计问卷对204名80岁以上的住院患者进行调查。结果:在选择临终治疗方式时,依次为对症治疗、听取医生的安排、选择不治疗、希望继续高技术治疗、听取子女们的安排。选择临终地点时,依次为愿意在医院、在家中和在养老院渡过生命的最后时光。结论:高龄老人的临终需求是多元化的,因此,在临床工作中应针对不同的需求提供个性化护理。
Objective To broaden the current understanding of the usage willingness about artificial intelligence (AI) robots and relevant influence factors for elderly patients. Methods The elderly patients in the inpatient ward, outpatient department and physical examination of the Department of Geriatrics, West China Hospital of Sichuan University were selected by convenient sampling for investigation between February and April 2020, to explore the willingness of elderly patients to use AI robots and related influencing factors. Results A total of 446 elderly patients were included. There were 244 males and 202 females. The willingness to use AI robots was (14.40±3.62) points. There were statistically significant differences among the elderly patients with different ages, marital status, living conditions, educational level, current health status, current vision status, current hearing status, self-care ability and family support in their willingness to use AI robots (P<0.05). Multiple linear regression analysis showed that age, education level and family support were the influencing factors of use intention (P<0.05). Among the elderly patients, 60.76% had heard of AI robots, but only 28.03% knew the medical application of AI robots, and only 13.90% had used AI robot services. Most elderly patients (>60%) thought that some adverse factors may reduce their usage willingness, like “the price is too expensive” and “the use is complex, or I don’t know how to use”. Conclusions Elderly patients’ cognition of AI robots is still at a low level, and their willingness to use AI robots is mainly affected by age, education level and family support. It is suggested to consider the personalized needs of the elderly in terms of different ages, education levels and family support, and promote the cheap and user-friendly AI robots, so as to improve the use of AI robots by elderly patients.
目的:了解成都市住院老年男性尿失禁患者尿失禁处理用物的使用及并发症发生情况。方法:用自行设计的量表对188位尿失禁老人的一般情况、尿失禁的分级及处理用物等进行调查。结果:随着尿失禁的严重程度的增加,患者或其家人选择的处理用物增加。男性尿失禁的不同处理用物被选用的多少依次为:尿布(585%)、尿壶(340%)、一次性尿垫(255%)、保鲜袋(186%)、避孕套式尿袋(69%)、留置导尿(37%)及假性尿器(27%),不同尿失禁分级的患者对处理用物的选择差异有统计学意义(Plt;005);2周患者399%发生漏尿,133%局部皮肤发红,27%皮肤糜烂及21%尿路感染。结论:临床工作中应该根据尿失禁的不同分级及患者的综合情况指导患者及其照顾者选择合适的处理用物,目前老年男性尿失禁患者仍然欠缺舒适、经济、实用的接尿设备。
ObjectiveTo improve activities of daily living (referring to Barthel Index) in the older inpatients.MethodsIn January 2016, a quality control circle (QCC) was established. According to 10 steps in activity of QCC, we figured out the causes of low Barthel Index score in older inpatients by using Plato method and Fishbone Diagram which were common methods of QCC. In addition, we designed and implemented a rectification program to improve Barthel Index score.ResultsAfter intervention of QCC, the average Barthel Index score of the older inpatients increased from 72.40±6.42 to 89.30±5.87 with a statistical difference (P<0.01); the satisfaction percent of hospitalized patients increased from 94.5% to 98.7% with a statistical difference (P<0.01). The percentage of registered nurses whose theoretical test score were over 90 increased from 57% to 88% (P<0.01) and the satisfaction percent of nurses increased from 90.5% to 95.6% (P<0.01). Moreover, the member’s ability of learning, discovery, analysis and problem solving, communication, application of QCC skills were improved.ConclusionThe application of QCC activities will increase older inpatients’ Barthel Index score, improve the satisfaction of patients and nursing staff, and enhance the members’ ability of solving problems by using QCC skills.