Impact of AP@LZ in the daily life of three persons with Alzheimer’s disease: long-term use and further exploration of its effectiveness

Imbeault, Hélène; Gagnon, Lise; Pigot, Hélène; Giroux, Sylvain; Marcotte, Nicolas; Cribier-Delande, Perrine; Duval, Julie; Bocti, Christian; Lacombe, Guy; Fülöp, Tamás; Bier, Nathalie

doi:10.1080/09602011.2016.1172491

Cited by 31 publications

(27 citation statements)

References 31 publications

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“…The use of mobile devices in this group varied. Imbeault et al [ 45 ] studied the impact of an electronic organizer “AP@LZ” on the cognition, subjective report of cognition, depression, and caregiver burden of three persons with Alzheimer disease. Unfortunately, there were no cognitive benefits.…”

Section: Resultsmentioning

confidence: 99%

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Categorizing Health Outcomes and Efficacy of mHealth Apps for Persons With Cognitive Impairment: A Systematic Review

Bateman¹,

Srinivas²,

Emmett³

et al. 2017

J Med Internet Res

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BackgroundUse of mobile health (mHealth) apps is growing at an exponential rate in the United States and around the world. Mild cognitive impairment (MCI), Alzheimer disease, and related dementias are a global health problem. Numerous mHealth interventions exist for this population, yet the effect of these interventions on health has not been systematically described.ObjectiveThe aim of this study is to catalog the types of health outcomes used to measure effectiveness of mHealth interventions and assess which mHealth interventions have been shown to improve the health of persons with MCI, Alzheimer disease, and dementia.MethodsWe searched 13 databases, including Ovid MEDLINE, PubMed, EMBASE, the full Cochrane Library, CINAHL, PsycINFO, Ei Compendex, IEEE Xplore, Applied Science & Technology Source, Scopus, Web of Science, ClinicalTrials.gov, and Google Scholar from inception through May 2017 for mHealth studies involving persons with cognitive impairment that were evaluated using at least one quantitative health outcome. Proceedings of the Annual ACM Conferences on Human Factors in Computing Systems, the ACM User Interface Software and Technology Symposium, and the IEEE International Symposium on Wearable Computers were searched in the ACM Digital Library from 2012 to 2016. A hand search of JMIR Publications journals was also completed in July 2017.ResultsAfter removal of duplicates, our initial search returned 3955 records. Of these articles, 24 met final inclusion criteria as studies involving mHealth interventions that measured at least one quantitative health outcome for persons with MCI, Alzheimer disease, and dementia. Common quantitative health outcomes included cognition, function, mood, and quality of life. We found that 21.2% (101/476) of the fully reviewed articles were excluded because of a lack of health outcomes. The health outcomes selected were observed to be inconsistent between studies. For those studies with quantitative health outcomes, more than half (58%) reported postintervention improvements in outcomes.ConclusionsResults showed that many mHealth app interventions targeting those with cognitive impairment lack quantitative health outcomes as a part of their evaluation process and that there is a lack of consensus as to which outcomes to use. The majority of mHealth app interventions that incorporated health outcomes into their evaluation noted improvements in the health of persons with MCI, Alzheimer disease, and dementia. However, these studies were of low quality, leading to a grade C level of evidence. Clarification of the benefits of mHealth interventions for people with cognitive impairment requires more randomized controlled trials, larger numbers of participants, and trial designs that minimize bias.Trial RegistrationPROSPERO Registration: PROSPERO 2016:CRD42016033846; http://www.crd.york.ac.uk/PROSPERO/ display_record.asp?ID=CRD42016033846 (Archived by WebCite at http://www.webcitation.org/6sjjwnv1M)

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Section: Resultsmentioning

confidence: 99%

“…Unfortunately, there were no cognitive benefits. The results of the effect on depression and caregiver burden were unclear [ 45 ].…”

Section: Resultsmentioning

confidence: 99%

Categorizing Health Outcomes and Efficacy of mHealth Apps for Persons With Cognitive Impairment: A Systematic Review

Bateman¹,

Srinivas²,

Emmett³

et al. 2017

J Med Internet Res

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“…A number of previously validated paper and pencil functional scales are also now available in online or mobile versions. Electronic organizer tools such as the Google Calender and AP@LZ have been tested in proof-of-concept studies with small samples to ameliorate functional and memory deficits, [17][18][19][20] which in turn may improve trial compliance. Figure depicts selected mobile or pervasive computing technologies that are being studied for use in AD research with examples in each area.…”

Section: Mobile Assessment Of Function (Activities Of Daily Living) Amentioning

confidence: 99%

Mobile and pervasive computing technologies and the future of Alzheimer’s clinical trials

2018

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The rapid growth of mobile phones, automated speech recognizing personal assistants, and internet access among the elderly provides new opportunities for incorporating such technologies into clinical research and personalized medical care. Alzheimer's disease is a good test case given the need for early detection, the high rate of clinical trial failures, the need to more efficiently recruit patients for trials, and the need for sensitive and ecologically valid trial outcomes.

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“…AP@LZ [26,27] is a multifunction smartphone app that provides a unique user interface specifically designed for people with dementia. This app includes reminders and other functions such as setting alarms, scheduling appointments, placing calls, and writing notes.…”

Section: Resultsmentioning

confidence: 99%

“…People with dementia often experience difficulty remembering lists and important personal information, and mobile devices provide an easily accessible means of storing that information. For example, a person with dementia can keep a grocery list, maintain a medication history, or record personal information, such as name, age, address, phone number, and family contacts, for use in an emergency [26,27].…”

Section: Resultsmentioning

confidence: 99%

Examining Mobile Technologies to Support Older Adults With Dementia Through the Lens of Personhood and Human Needs: Scoping Review

Koo

Vizer

2019

JMIR Mhealth Uhealth

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BackgroundWith the world’s rapidly growing older adult population, there is an increase in the number of people living with dementia. This growth leads to a strain on their caregivers and our health care system and to an increased attention on mitigating strain by using mobile technology to sustain the independence of people with dementia. However, less attention is given to whether these technologies meet the stated and unstated needs of people with dementia.ObjectiveThe aim of this study was to provide an overview of the current research on mobile technologies for people with dementia, considering the current research through the lens of personhood and human needs, and to identify any gaps that represent research opportunities.MethodsWe performed a systematic search in Medical Literature Analysis and Retrieval System Online (MEDLINE), Web of Science, PsycINFO, Cumulative Index of Nursing and Allied Health Literature (CINAHL), Excerpta Medica dataBASE (EMBASE), and the Cochrane Central Register of Controlled Trials (CENTRAL) in October 2018. We screened 5560 articles and identified 24 that met our inclusion and exclusion criteria. We then performed thematic analysis to organize the articles by the types of support mobile technologies provide and mapped those types of support to human needs to identify the gaps in support.ResultsArticles described research on mobile technologies that support people with dementia to (1) perform daily activities, (2) maintain social interaction, (3) aid memory, (4) engage in leisure activities, (5) track location, and (6) monitor health. At least one type of support mapped to each human need, with most supporting lower-level needs such as physiological and safety needs. Little attention seems to be paid to personhood.ConclusionsMobile technologies that support daily activities, relationships, memory, leisure activities, health, and safety can partially compensate for decreased function owing to dementia, but the human needs of people with dementia are often not adequately considered. Most technologies support basic physiological and safety needs, whereas many pay little attention to higher-level needs such as self-esteem and agency. Important research opportunities include using person-centered methods to develop technology to meet higher-level needs and to preserve personhood by incorporating human and psychological needs of people with dementia along with ethical considerations.

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Impact of AP@LZ in the daily life of three persons with Alzheimer’s disease: long-term use and further exploration of its effectiveness

Cited by 31 publications

References 31 publications

Categorizing Health Outcomes and Efficacy of mHealth Apps for Persons With Cognitive Impairment: A Systematic Review

Categorizing Health Outcomes and Efficacy of mHealth Apps for Persons With Cognitive Impairment: A Systematic Review

Mobile and pervasive computing technologies and the future of Alzheimer’s clinical trials

Examining Mobile Technologies to Support Older Adults With Dementia Through the Lens of Personhood and Human Needs: Scoping Review

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