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Digital Screening of Dementia in Hong Kong.

Pui Fai. Wong ProQuest Information and Learning Co.; The Chinese University of Hong Kong (Hong Kong). 2022

Dissertations Abstracts International 84-01B.

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  • 題名:
    Digital Screening of Dementia in Hong Kong.
  • 著者: Pui Fai. Wong
  • ProQuest Information and Learning Co.; The Chinese University of Hong Kong (Hong Kong).
  • 主題: Health sciences; Mental health; Medical imaging; Asian studies; Disability studies; Public health; Behavioral sciences; Digital screening; Dementia; Hong Kong; Alzheimer's Disease; Health behavior; Electronic books
  • 所屬期刊: Dissertations Abstracts International 84-01B.
  • 描述: IntroductionDementia is one of the most common neurodegenerative disorders in people who aged 65 or above. Alzheimer's disease (AD) is one of the most common forms of dementia, characterized by cognitive decline, impaired daily activities, and neuro/behavioural abnormalities. Currently, there is no effective treatment to reverse the condition of AD. However, early detection of AD allows clinicians to have early planning for interventions that can help to slow down the progress of cognitive decline.Conventional AD screening tests commonly use pencil-and-paper form as screening tools, such as Mini-mental State Examination (MMSE), but these tests may still have several disadvantages. For example, healthcare professionals may give subjective scoring on the cognitive symptoms. In recent years, many digital screening tests were developed as a digital format to avoid subjective bias, such as the Digital Clock Drawing Test, but the use of digital tools to construct complex diagrams may also bring a new challenge for the screening participants. Therefore, the objectives of this study are to develop and validate a simple digital screening tool for AD and study the effectiveness the screening platform with consideration of the drawing behavior.MethodPatients were recruited from an AD clinic at the Prince of Wales Hospital. Healthy controls were recruited from the community centres and other non-AD clinics with normal cognitive functions at the Prince of Wales Hospital. Consents were obtained from all eligible participants. The cognitive levels of each participant were assessed by the Montreal Cognitive Assessment Test (MoCA) and they were instructed to draw a simple diagram, i.e. a pair of interlocking pentagons, on a digital screen of a smart tablet. The drawing behaviors such as drawing time and number of stops, were real-time captured in the digital platform. The completed image was also scored for correctness. Image features and drawing behaviors were used to derive the
    背景 在65 歲或以上人口中,認知障礙症是最常見的腦退化的慢性疾病。然而, 阿滋海默氏症便是最常見的認知障礙症,其特徵是認知能力下降、日常活動受 影響。目前,阿滋海默氏症沒有直接有效的藥物治療方案。若阿滋海默氏症能 在早期發現,醫生可預早計劃非藥物的干預治療,以減緩認知能力衰退的情況。 傳統的阿滋海默氏症篩查方法都是靠紙筆形式進行,例如簡短智能測驗 (MMSE)。但是傳統的篩查方法確實有點缺點,如檢測者以主觀的角度來評價測 驗結果的成績。近年,越來越多的數碼化的認知篩選測試方案出現,如時鐘繪 圖的實時表現測試都改善了傳統測試方法的缺點。有見及此,利用繪圖的實時 反應來評估阿滋海默氏症的風險為本研究目標。 方法 阿滋海默氏症患者於威爾斯親王醫院的認知障礙症診所招募,而健康對照 組則在社區長者中心及醫院的其他兩個非認知障礙症診所中招募。合資格的參 與者需簽署同意書方可參與研究。每位參與者都接受了蒙特利爾認知評估 (MoCA)測試。完成後,他們需在智能平板電腦上完成數字繪圖測試。參與者需 用手指來複製兩個重叠的五邊形。繪製時間及速度的相關繪圖行為在測試過程 中實時採集。繪製完成後的圖像也被評分。所有圖像特徵和繪圖行為亦用於預 測阿滋海默氏症的風險。參與者以 7:3 的比例隨機分為推導隊列和驗證隊列。 使用逐步邏輯回歸來選出圖像特徵和繪圖行為作出模型估算,以推段阿滋海默 氏症的風險。 最後,模型測試阿滋海默氏症的準確度。以C-統計量作為評估。 結果 在這項研究中,邀請185名阿滋海默氏症臨床確診的患者及268名健康對照 組參加者(以MoCA的22/21指標)參與。若使用非單一的MoCA指標,即根據不用 年
  • 出版者: Thesis (Ph.D.)--The Chinese University of Hong Kong (Hong Kong), 2022.
  • 建立日期: 2022
  • 格式: 1 online resource (165 pages)..
  • 語言: 英文
  • 識別號: ISBN9798802755570
  • 資源來源: NUTN ALEPH

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