Preliminary validation study of the Mindset4Dementia application: assessing remote collection of dementia risk factors and cognitive performance

IF 1.4 Q3 HEALTH CARE SCIENCES & SERVICES BMJ Innovations Pub Date : 2021-09-17 DOI:10.1136/bmjinnov-2021-000780

R. Rifkin-Zybutz, Hamzah Selim, M. Johal, Narayan Kuleindiren, I. Palmon, Aaron Lin, Yizhou Yu, Mohammad Mahmud

{"title":"Preliminary validation study of the Mindset4Dementia application: assessing remote collection of dementia risk factors and cognitive performance","authors":"R. Rifkin-Zybutz, Hamzah Selim, M. Johal, Narayan Kuleindiren, I. Palmon, Aaron Lin, Yizhou Yu, Mohammad Mahmud","doi":"10.1136/bmjinnov-2021-000780","DOIUrl":null,"url":null,"abstract":"© Author(s) (or their employer(s)) 2021. No commercial reuse. See rights and permissions. Published by BMJ. INTRODUCTION 115.4 million individuals are projected to live with dementia by 2050. Notably, there is consensus that a substantial proportion of dementia cases may be preventable. Therefore, identifying individuals exhibiting cognitive impairment in conjunction with dementia risk factors could improve intervention and reduce disease burden. Existing smartphonebased assessment tools have demonstrated validity in cognitive screening, however, none combine cognitive screening with risk factor assessment and few have the accessible design necessary for unsupervised use at home. 5 Mindset4Dementia is a new smartphonebased application seeking to address this gap by integrating both cognitive screening and risk factor identification. The application can be completed unsupervised at home and takes only 5 min to complete. The user is guided through a conversational interface where risk factors are identified and cognitive screening is assessed via a modified Stroop and Symbol digit modality test. 7 Poor performance on the Stroop and Symbol Digit Modalities (SMT) tests is linked with dementia and mild cognitive impairment (MCI). Studies suggest that Stroop (among other tests) is able to distinguish between patients with dementia and normal controls. 9 The SMT is well suited for distinguishing between people with either MCI and dementia versus normal ageing and also useful in other conditions such as Multiple Sclerosis as a measure of cognition. Currently the app acts solely as a datacollection tool, without giving users feedback on their risk factors or reporting cognitive status. However, the eventual aim is to screen individuals at risk for dementia for apt intervention and prevention. This aim will require several phases including validating the modified Summary box","PeriodicalId":53454,"journal":{"name":"BMJ Innovations","volume":"14 1","pages":"626 - 631"},"PeriodicalIF":1.4000,"publicationDate":"2021-09-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"BMJ Innovations","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1136/bmjinnov-2021-000780","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"HEALTH CARE SCIENCES & SERVICES","Score":null,"Total":0}

引用次数: 3

Abstract

© Author(s) (or their employer(s)) 2021. No commercial reuse. See rights and permissions. Published by BMJ. INTRODUCTION 115.4 million individuals are projected to live with dementia by 2050. Notably, there is consensus that a substantial proportion of dementia cases may be preventable. Therefore, identifying individuals exhibiting cognitive impairment in conjunction with dementia risk factors could improve intervention and reduce disease burden. Existing smartphonebased assessment tools have demonstrated validity in cognitive screening, however, none combine cognitive screening with risk factor assessment and few have the accessible design necessary for unsupervised use at home. 5 Mindset4Dementia is a new smartphonebased application seeking to address this gap by integrating both cognitive screening and risk factor identification. The application can be completed unsupervised at home and takes only 5 min to complete. The user is guided through a conversational interface where risk factors are identified and cognitive screening is assessed via a modified Stroop and Symbol digit modality test. 7 Poor performance on the Stroop and Symbol Digit Modalities (SMT) tests is linked with dementia and mild cognitive impairment (MCI). Studies suggest that Stroop (among other tests) is able to distinguish between patients with dementia and normal controls. 9 The SMT is well suited for distinguishing between people with either MCI and dementia versus normal ageing and also useful in other conditions such as Multiple Sclerosis as a measure of cognition. Currently the app acts solely as a datacollection tool, without giving users feedback on their risk factors or reporting cognitive status. However, the eventual aim is to screen individuals at risk for dementia for apt intervention and prevention. This aim will require several phases including validating the modified Summary box

查看原文

微信好友朋友圈 QQ好友复制链接

本刊更多论文

Mindset4Dementia应用程序的初步验证研究:评估痴呆风险因素和认知表现的远程收集

©作者(或其雇主)2021。禁止商业重用。请参阅权利和权限。英国医学杂志出版。到2050年，预计将有1.154亿人患有痴呆症。值得注意的是，人们一致认为，很大一部分痴呆症病例是可以预防的。因此，识别与痴呆危险因素相结合的认知障碍个体可以改善干预并减轻疾病负担。现有的基于智能手机的评估工具已经证明了认知筛查的有效性，然而，没有一个将认知筛查与风险因素评估结合起来，很少有必要在无人监督的情况下在家中使用的无障碍设计。Mindset4Dementia是一款基于智能手机的新应用程序，旨在通过整合认知筛查和风险因素识别来解决这一差距。该申请可以在无人监督的情况下在家完成，只需5分钟即可完成。通过对话界面引导用户识别风险因素，并通过改进的Stroop和Symbol数字模态测试评估认知筛查。Stroop和符号数字模式(SMT)测试表现不佳与痴呆和轻度认知障碍(MCI)有关。研究表明，Stroop(以及其他测试)能够区分痴呆症患者和正常对照。SMT非常适合于区分轻度认知障碍和痴呆症患者与正常衰老患者，也适用于其他疾病，如多发性硬化症，作为认知能力的衡量标准。目前，该应用程序仅作为数据收集工具，不向用户提供有关其风险因素的反馈或报告认知状态。然而，最终的目标是筛选有痴呆症风险的个体，以便进行适当的干预和预防。这个目标需要几个阶段，包括验证修改后的Summary框

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文去求助

来源期刊

BMJ Innovations Medicine-Medicine (all)

CiteScore

4.20

自引率

0.00%

发文量

期刊介绍： Healthcare is undergoing a revolution and novel medical technologies are being developed to treat patients in better and faster ways. Mobile revolution has put a handheld computer in pockets of billions and we are ushering in an era of mHealth. In developed and developing world alike healthcare costs are a concern and frugal innovations are being promoted for bringing down the costs of healthcare. BMJ Innovations aims to promote innovative research which creates new, cost-effective medical devices, technologies, processes and systems that improve patient care, with particular focus on the needs of patients, physicians, and the health care industry as a whole and act as a platform to catalyse and seed more innovations. Submissions to BMJ Innovations will be considered from all clinical areas of medicine along with business and process innovations that make healthcare accessible and affordable. Submissions from groups of investigators engaged in international collaborations are especially encouraged. The broad areas of innovations that this journal aims to chronicle include but are not limited to: Medical devices, mHealth and wearable health technologies, Assistive technologies, Diagnostics, Health IT, systems and process innovation.