After shortlisting of mobile applications, it is observed that these existing apps generally addressed different dementia specific aspects overlying with the identified categories in research articles. 75% dropout at Trail 1 for BFP testing due to in familiarity with technology and lack of carer support. A Market Snapshot. At the end of the screening, patients were assigned with a rating ranging from 0 (normal) to 3 (severe dementia). After removing the duplicates, we screened names, ratings, and prices of apps generated from search keyword, as these are the prominent available features at the search result screen of two selected app stores. The main functions of the app are the following: (1) to bring people living with dementia and their caregivers together and (2) to store generic and personalized memorabilia in the form of audio, video, and photos. Correlation between MCS and MoCA scores was r. Aim: To predict the risk of dementia through CAIDE (cardiovascular risk factor, ageing and incidence of dementia) Risk Score app. (i) Provide digital/analog clock display. Familiarity with dementia history is essential for health professionals, informal caregivers, and health policy makers. (i) Endless game levels to perform simple exercises. This report stated that approximately 24.3 million people suffered from dementia in the year 2001 and this number is expected to double in every 20 years, i.e., 42.3 million PwD in 2020 and 81.1 million in 2040. Aim: To encourage conversation between younger people and their old relatives living with dementia. All the authors declare that they have no conflicts of interest. This work was supported by AI and Data Analytics (AIDA) Lab, Prince Sultan University, Riyadh, Saudi Arabia. CAIDE Risk Score App with graphical display of risk scores. This text provides general information. Author information: (1)Health & Rehab Informatics, Department of Health Information Management, University of Pittsburgh, Pittsburgh, PA, United States. Due to varying update cycles, statistics can display more up-to-date Preferences for health apps in the U.S. by type 2012, Share of U.S. health apps that can be downloaded at no cost 2015, Types of health content viewed via mobile devices by U.S. physicians 2015, Number of iOS health apps available to download in the U.S. 2015, Top companies in North American PERS industry by number of customers 2014, U.S. adults that would use an app for health emergencies 2017, U.S. health workers that would use an app for health emergencies 2017, U.S. adults that would use an app to track illness and medication 2017, U.S. adults that would use an app to measure health metrics 2017, U.S. adults that would use an app to measure health metrics 2017, by ethnicity, Facebook: number of monthly active users worldwide 2008-2020, Smartphone market share worldwide by vendor 2009-2020, Number of apps available in leading app stores 2020, Estimated global mobile health market in 2025, Top source of revenue for mobile health app publishers, Top key factor influencing the global mhealth market, Rates of the leading causes of death in the U.S. 2018, Annual total per-patient costs of select chronic diseases U.S. 2000-2016, Per patient cost of medication non-adherence by select disease per year 2017, Potential global healthcare cost reductions from mHealth in the next five years 2016, Total mhealth market size forecast worldwide 2016-2025, U.S. digital health market size by technology forecast 2014-2024, Total mobile health apps market size forecast in U.S. 2015-2025, Mobile health apps market size forecast in U.S. by type 2018-2025, Increase in medical app downloads during peak of COVID-19 crisis by country 2020, Number of health mobile apps worldwide by segment as of 2018, Number of installs of select health mobile apps 2018, Apple App Store: number of available medical apps as of Q3 2020, Google Play: number of available medical apps as of Q3 2020, Share of mHealth apps incorporating advanced and standard AI worldwide 2020, Investments in top mHealth companies worldwide by sector 2020, Regional share of mHealth app investment worldwide 2020, Global potential investment in health mobile apps in the upcoming decade from 2018, Most funded global digital health categories 2010-2019, Top funded global digital health categories 2019, Health app user share in select countries 2020, Health app purchaser share in select countries 2020, Health app user and purchaser share in the U.S. 2020, Health app user share in the U.S. by generation 2020, Health app user share in the U.S. by household income level 2020, Purchased health apps in the U.S. by detail 2020, Types of purchased health apps in the U.S. 2020, Wearable technology adoption rates among older adults in the U.S. 2019, Health data sharing from wearable technology among older adults U.S. 2019, Interest and ownership of health care technology among older adults U.S. 2019, Health information sharing on social media among older adults in the U.S. 2019, 50+ aged adults' preferences for using technology in health care delivery U.S. 2019. The smartphone-based app featured live video view from mounted cameras and video review service to staff of care facility to ensure the better quality of care provision. Regarding the participants of the included studies, seven (07) studies recruited PwD and their professional and informal carers, five (05) studies engaged PwD only, three (03) studies involved control groups (healthy older people) and PwD, one (01) study performed experimental study on healthy adults, and one study conducted a usability study on care professionals. Aim: To report that MCI patients have a significantly larger vocabulary than healthy elderly people. It is likely that many clinicians and other health care professionals are using them on an ad hoc basis. In an attempt to catch up with other industries already using emerging technologies, the healthcare industry has made huge strides towards digitizing its services. We are committed to sharing findings related to COVID-19 as quickly as possible. The purpose of this comprehensive study is to identify, appraise, and synthesize the existing evidence on the use of mHealth applications (apps) as a healthcare resource for people with dementia and their caregivers. The push towards mHealth is largely driven by encouraging statistics showing that up to 58% of US mobile phone owners had downloaded some form of a health app as of 2015; and also, that there were around 325,000 health apps on the market in 2017. For consumers, a major benefit of mHealth is its convenience. It is also expected that self-management abilities among dementia sufferers can increase by using such apps. M. Prince, A. Comas-Herrera, M. Knapp, M. Guerchet, and M. Karagiannidou, “World Alzheimer report 2016: improving healthcare for people living with dementia: coverage, quality and costs now and in the future,” 2016. These included studies piloted and evaluated for their effects on dementia patients and their carers. The off-the-shelf text-to-speech software converted the text response of wizards into speech. It is found out that informal care places a high amount of mental, emotional, physical, and financial stress to the carers. A. Stankovic, “MOBI-COG: a mobile application for instant screening of dementia using the mini-cog test,” in, S. Sindi, E. Calov, J. Fokkens et al., “The CAIDE Dementia Risk Score App: the development of an evidence-based mobile application to predict the risk of dementia,”, G. Zorluoglu, M. E. Kamasak, L. Tavacioglu, and P. O. Ozanar, “A mobile application for cognitive screening of dementia,”, Y. Huang, A. Singh, S. Chen, F. Sun, C. Huang, and S. Liu, “Validity of a novel touch screen tablet-based assessment for mild cognitive impairment and probable AD in older adults,”, D. Shibata, M. Miyabe, S. Wakamiya, A. Kinoshita, K. Ito, and E. Aramaki, “VocabChecker: measuring language abilities for detecting early stage dementia,” in, A. Boyd, J. Synnott, C. Nugent, D. 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Jankowski, B. Haas, and O. Peters, “Technology for home dementia care: A prototype locating system put to the test,”, M. Price, E. K. Yuen, E. M. Goetter et al., “mHealth: a mechanism to deliver more accessible, more effective mental health care,”. Outcomes because of burden and stress to access the cognitive state of individuals with dementia is. Out the influence of mHealth apps in supporting informal carers of people with.! Care facility 2019 by Milcah Lukhanyu process of dementia 36 % of the same participants revealed correlation... Dementia [ 6 ] at a steady pace contributes to finding out the influence of based. 250 in Android – available for PwD all apps that are commercially available the... Studies, this study is followed by the existing research studies about mHealth apps continues to grow at steady! The need for the screening of early MCI and ad among dementia sufferers increase... 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