Evidence mapPaperPMID 40720890Full record

ArticleJMIR formative research2025

Toward a Smartphone-Based and Conversational Agent-Delivered Just-in-Time Adaptive Holistic Lifestyle Intervention for Older Adults Affected by Cognitive Decline: Two-Week Proof-of-Concept Study.

Esther Brill, Rasita Vinay, Marcia Nißen, Priyam Joshi, Stefan Klöppel, Tobias Kowatsch

Abstract read
In one paragraph

Article in JMIR formative research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
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

2 citing papers in PubMed.

  1. Review
  2. 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

6 authors.

Esther Brill *University Hospital of Old Age Psychiatry and Psychotherapy, University of Bern, Bern, Switzerland.ORCID 0000-0002-2452-7697
Rasita Vinay *Institute of Biomedical Ethics and History of Medicine, University of Zurich, Zurich, Switzerland.ORCID 0000-0002-0490-5697
Marcia Nißen *School of Medicine, University of St. Gallen, St. Gallen, Switzerland.ORCID 0000-0002-6082-8825
Priyam JoshiDepartment of Psychology, Georgia State University, Atlanta, GA, United States.ORCID 0009-0004-0621-3936
Stefan Klöppel *University Hospital of Old Age Psychiatry and Psychotherapy, University of Bern, Bern, Switzerland.ORCID 0000-0001-6452-9964
Tobias Kowatsch *School of Medicine, University of St. Gallen, St. Gallen, Switzerland.ORCID 0000-0001-5939-4145

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Dementia is projected to impact 152 million people by 2050, making it one of the most pressing global health challenges. The neurodegenerative process initiates well before clinical symptoms manifest, advancing from subjective cognitive decline (SCD) to mild cognitive impairment (MCI) and ultimately to dementia. Despite the growing prevalence, awareness of dementia prevention is limited, and many individuals express a desire to cease living upon diagnosis. Lifestyle interventions can mitigate cognitive decline, but there is a need for effective, scalable approaches to deliver these interventions to older adults. Digital health interventions, such as app-based just-in-time adaptive interventions, offer a promising solution, but their application in cognitively impaired older populations remains underexplored. Objective: This formative study evaluated the plausibility, acceptability, and adherence to a smartphone-based just-in-time adaptive digital lifestyle intervention delivered by a rule-based conversational agent (CA) among older adults with SCD or MCI. The primary focus was on adherence to the CA-initiated conversational turns (measured objectively via interaction logs), and secondary objectives included perceptions of technology acceptance, working alliance with the CA, self-reported adherence to the suggested health-promoting activity, and feedback for future improvements (through a questionnaire and short interview). Methods: This monocentric study investigated 15 participants (mean age 70.3, SD 5.01; 10 female and 5 male participants) with SCD (n=12) or MCI (n=3). Participants used the study app that delivered daily health-promoting activities through a CA over 2 weeks. Participants received notifications to engage in 7 health-related activities, and adherence to the activities was self-reported. Post intervention, participants rated their experience with the app and assessed their working alliance with the CA through the 6-item session alliance inventory. Data on smartphone use, demographic information, and cognitive performance (via Montreal Cognitive Assessment) were collected during a preintervention visit. Results: Participants rated the study app positively, especially regarding ease of use and a subset of the working alliance. Adherence to the CA-initiated conversational turn was measured at an average of 81% across 14 days. In total, 27% (mean 4.07, SD 2.27) of participants indicated being vulnerable, and 100% then responded with their state of receptivity, of which 83% (mean 3.14, SD 1.61) were receptive to completing the activity, and 69% (mean 2.86, SD 1.70) self-reported adherence to the activity. There was no significant decline in adherence across the study period. Qualitative results support these findings and present two emerging themes: app enjoyment and enhancing engagement. Conclusions: This study demonstrates that smartphone-based just-in-time adaptive interventions are feasible and generally well-accepted by older adults with SCD or MCI. However, the findings underscore the need for robust technological infrastructure and potential personal assistance to optimize adherence. Future interventions could benefit from integrating wearables to improve real-time engagement and accurately monitor adherence, ultimately supporting healthy aging and cognitive health in older populations.

Indexed as

Cognitive DysfunctionLife StyleMobile ApplicationsSmartphoneAgedAged, 80 and overFemaleHumansMaleProof of Concept Studyagingawarenesscognitive impairmentconversational agentsdementiadementia preventiondigitaldigital healthdigital health interventionsfeasibilityglobal healthhealth interventionjust-in-time adaptive interventionmHealthmobile healthmobile phoneolder adultsolder personsingle-arm feasibility studysmartphonesmartphone-basedtechnology

Identifiers

PMID40720890
PMCPMC12303554

What Socratic holds

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LicenceCC BY
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Registered trials

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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 Socratic graph.