The Development of Screening Application of the Risk of Elderly with Dementia in Saraphi District, Chiang Mai Province

Nutreutai Arunsirot, Pitchaporn Opas, Jarunee Pattharawongthana, Ninooch Boonyarittanon
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Abstract

This research aimed to develop dementia screening tools through a mobile application for use by public health volunteers and medical personnel in an attempt to detect the risk of dementia at early stages in Saraphi district, Chiang Mai province and to explore the satisfaction of the application users towards the implementation of a dementia screening application. The sample group was 90 public health volunteers residing in Nongphueng sub-district, Yang Noeng sub-district, and Saraphi sub-district, and 15 medical personnel working in Ban Nongphueng Tambon health promotion hospital, Yang Noeng Tambon health promotion hospital, and Saraphi hospital, Saraphi District, Chiang Mai Province. The research methodology comprised eight steps as follows: 1) conducting documentary research on dementia symptoms, screening tools, and dementia data from medical personnel at the Chiang Mai Neurological Hospital. 2) carrying out a field study with community participation to investigate the circumstances of dementia in Tambon Nong Phueng, Tambon Yang Noeng, and Tambon Saraphi. 3) selecting 90 public health volunteers, and 15 medical personnel to participate in this research. 4) formulating a storyboard which described the application model 5) designing the system and create the application with the consultancy from a psychiatric doctor for the elderly and an occupational therapist. 6) testing the operation of the application and carry out the improvement. 7) preparing the manual 8) publicizing and making the application available. The data collection instrument consisted of a satisfaction questionnaire towards the implementation of an application for dementia screening. The statistics used in the research were mean and standard deviation. The dementia application, named "Brain Screening," was developed using the Flutter software development kit and the Dart programming language. It operates on the Android operating system. This application consists of four cognitive assessments: the 14-question item memory assessment, the Mini-Cog assessment, the 8-question item IQCODE-Modified assessment for relatives or caretakers to assess memories, and the AMT assessment for public health and medical personnel. Additionally, the satisfaction assessment of public health volunteers regarding the application's implementation yielded high levels of satisfaction, with an overall mean of 4.19 and a standard deviation of 0.53.
清迈府 Saraphi 县老年痴呆症风险筛查应用的发展情况
本研究旨在通过移动应用程序开发痴呆症筛查工具,供公共卫生志愿者和医务人员使用,试图在清迈府沙拉碧县早期发现痴呆症风险,并探讨应用程序用户对实施痴呆症筛查应用程序的满意度。样本组包括居住在清迈府沙拉碧县廊蓬分区、杨诺恩分区和沙拉碧分区的 90 名公共卫生志愿者,以及在清迈府沙拉碧县班廊蓬淡汶健康促进医院、杨诺恩淡汶健康促进医院和沙拉碧医院工作的 15 名医务人员。研究方法包括以下八个步骤:1) 对清迈神经医院的医务人员进行文献研究,了解痴呆症症状、筛查工具和痴呆症数据。2)在社区参与下开展实地研究,调查 Tambon Nong Phueng、Tambon Yang Noeng 和 Tambon Saraphi 的痴呆症情况。3) 挑选 90 名公共卫生志愿者和 15 名医务人员参与这项研究。4) 制定描述应用模式的故事板 5) 在老年精神科医生和职业治疗师的咨询下设计系统并创建应用。6) 测试应用程序的运行并进行改进。7) 编写手册 8) 宣传并提供应用程序。数据收集工具包括一份对痴呆症筛查应用程序实施情况的满意度问卷。痴呆症应用程序名为 "大脑筛查",是使用 Flutter 软件开发工具包和 Dart 编程语言开发的。它在安卓操作系统上运行。该应用程序包括四项认知评估:14 个问题的记忆评估、Mini-Cog 评估、供亲属或看护人评估记忆的 8 个问题的 IQCODE-Modified 评估,以及供公共卫生和医务人员使用的 AMT 评估。此外,公共卫生志愿者对应用程序实施情况的满意度评估结果也很高,总体平均值为 4.19,标准差为 0.53。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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