Evidence map›Paper›PMID 37097773›Full record

ArticleThe Gerontologist2024

Terms of Engagement: Understanding the Motivations, Preferences, and Attitudes of Older Adults Toward Mobile Cognitive Assessment and Training.

Michael Dieciuc, Shenghao Zhang, Nicholas Gray, Mia Liza A Lustria, Dawn C Carr, Neil Charness, Walter R Boot

Open access · hybridAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in The Gerontologist, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
9.6field-weighted citation impact, top 2% of its field
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

7 citing papers in PubMed, 1 synthesis or guideline pooled it, 11 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Trial
  4. Article
  5. Review
  6. Article
  7. Article
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 at 1 institution in 1 country.

Michael DieciucDepartment of Psychology, Florida State University, Tallahassee, Florida, USA.
Shenghao ZhangDepartment of Psychology, Florida State University, Tallahassee, Florida, USA.ORCID 0000-0002-3870-1975
Nicholas GrayDepartment of Psychology, Florida State University, Tallahassee, Florida, USA.ORCID 0000-0002-8034-9223
Mia Liza A LustriaSchool of Information, Florida State University, Tallahassee, Florida, USA.ORCID 0000-0002-1144-2985
Dawn C CarrDepartment of Sociology, Florida State University, Tallahassee, Florida, USA.ORCID 0000-0003-1091-1759
Neil CharnessDepartment of Psychology, Florida State University, Tallahassee, Florida, USA.ORCID 0000-0002-1002-3439
Walter R BootDepartment of Psychology, Florida State University, Tallahassee, Florida, USA.ORCID 0000-0003-1047-5467
Florida State University · US

Funding

The Adherence Promotion with Person-centered Technology (APPT) Project: Promoting Adherence to Enhance the Early Detection and Treatment of Cognitive DeclineR01AG064529 · NIA · FLORIDA STATE UNIVERSITY · PI BOOT, WALTER RICHARD · 2019 to 2023
$3.2M
NIA NIH HHS R01 AG064529NIA NIH HHS R01AG064529
6 · The paper itself

Abstract

BACKGROUND AND

objectivesThe future of cognitive assessment is likely to involve mobile applications for smartphones and tablets; cognitive training is also often delivered in these formats. Unfortunately, low adherence to these programs can hinder efforts at the early detection of cognitive decline and interfere with examining cognitive training efficacy in clinical trials. We explored factors that increase adherence to these programs among older adults. RESEARCH DESIGN AND

methodsFocus groups were conducted with older adults (N = 21) and a younger adult comparison group (N = 21). Data were processed using reflexive thematic analysis with an inductive, bottom-up approach.

resultsThree primary themes related to adherence were developed from the focus group data. Switches of engagement reflects factors that must be present; without them, engagement is unlikely. Dials of engagement reflects a cost-benefit analysis that users undergo, the outcome of which determines whether a person will be more or less likely to engage. Bracers of engagement reflects factors that nudge users toward engagement by minimizing barriers associated with the other themes. Older adults in general were more sensitive to opportunity costs, preferred more cooperative interactions, and were more likely to mention technology barriers. DISCUSSION AND IMPLICATIONS: Our results are important for informing the design of mobile cognitive assessment and training apps for older adults. These themes provide guidance about ways apps could be modified to increase engagement and adherence, which in turn can more effectively facilitate the early detection of cognitive impairment and the evaluation of cognitive training efficacy.

Indexed as

Cognitive DysfunctionMotivationAgedCognitionFocus GroupsHumansAdherenceBrain trainingCognitive testing

Identifiers

PMID37097773
PMCPMC10825850
OpenAlexW4366982703

What OpenQuestion holds

Textmetadata
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.