Evidence map›Paper›PMID 32420890›Full record

ArticleJMIR mHealth and uHealth2020

Ecological Momentary Assessment Within a Digital Health Intervention for Reminiscence in Persons With Dementia and Caregivers: User Engagement Study.

Courtney Potts, Raymond Bond, Assumpta Ryan, Maurice Mulvenna, Claire McCauley, Elizabeth Laird, Deborah Goode

Abstract read
In one paragraph

Article in JMIR mHealth and uHealth, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed, 2 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

22 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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  11. Digital transformation of mental health services.Npj mental health research · 2023
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Courtney PottsUlster University, School of Computing, Jordanstown, United Kingdom.ORCID 0000-0002-5621-1611
Raymond BondUlster University, School of Computing, Jordanstown, United Kingdom.ORCID 0000-0002-1078-2232
Assumpta RyanUlster University, Institute of Nursing and Health Research, Derry, United Kingdom.ORCID 0000-0003-4856-0798
Maurice MulvennaUlster University, School of Computing, Jordanstown, United Kingdom.ORCID 0000-0002-1554-0785
Claire McCauleyUlster University, Institute of Nursing and Health Research, Derry, United Kingdom.ORCID 0000-0002-2092-349X
Elizabeth LairdUlster University, Institute of Nursing and Health Research, Derry, United Kingdom.ORCID 0000-0002-9521-9296
Deborah GoodeUlster University, Institute of Nursing and Health Research, Derry, United Kingdom.ORCID 0000-0001-7428-901X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundUser-interaction event logs provide rich and large data sets that can provide valuable insights into how people engage with technology. Approaches such as ecological momentary assessment (EMA) can be used to gather accurate real-time data in an individual's natural environment by asking questions at any given instant.

objectiveThe purpose of this study was to evaluate user engagement and responses to EMA questions using InspireD, an app used for reminiscence by persons with dementia and their caregivers. Research findings can be used to inform EMA use within digital health interventions.

methodsA feasibility trial was conducted in which participants (n=56) used the InspireD app over a 12-week period. Participants were a mean age of 73 (SD 13) and were either persons with dementia (n=28) or their caregivers (n=28). Questions, which they could either answer or choose to dismiss, were presented to participants at various instants after reminiscence with personal or generic photos, videos, and music. Presentation and dismissal rates for questions were compared by hour of the day and by trial week to investigate user engagement.

resultsOverall engagement was high, with 69.1% of questions answered when presented. Questions that were presented in the evening had the lowest dismissal rate; the dismissal rate for questions presented at 9 PM was significantly lower than the dismissal rate for questions presented at 11 AM (9 PM: 10%; 11 AM: 50%; χ

conclusionsThe main limitation of our study was the lack of generalizability of results to a larger population given the quasi-experimental design and older demographic where half of participants were persons with dementia; however, this study shows that older people are willing to participate and engage in EMA. Based on this study, we propose a series of recommendations for app design to increase user engagement with EMA. These include presenting questions no more than once per day, after 8 PM in the evening, and only if the user is not trying to complete a task within the app.

Indexed as

CaregiversDementiaEcological Momentary AssessmentAgedAged, 80 and overFemaleHumansMaleResearch Designappbehaviour analyticscarersdementiaecological momentary assessmentEMAevent loggingmHealthreminiscencereminiscing

Identifiers

PMID32420890
PMCPMC7381015

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.