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Unsupervised mobile app-based cognitive testing in a population-based study of older adults born 1944
Fredrik Öhman, David Berron, Kathryn V Papp, Silke Kern, Johan Skoog, Timothy Hadarsson Bodin, Anna Zettergren, Ingmar Skoog et al.. Frontiers in digital health, 2022-11-08
Topic: Brain imaging, connectivity and assessment
MDT-OS and ORR-LDR were weakly-to-moderately correlated with the Preclinical Alzheimer's Cognitive Composite (PACC5) (r = 0.3-0.44, p < .001) and with several other measures of episodic memory, processing speed, and executive function. Test-retest reliability was poor-to-moderate for one single session but improved to moderate-to-good when using the average of two sessions. We observed no significant floor or ceiling effects nor effects of education or gender on task performance. Contextual factors such as distractions and screen size did not significantly affect task performance. Most participants deemed the tasks interesting, but many rated them as highly challenging. While several participants reported distractions during tasks, most could concentrate well. However, there were difficulties in completing delayed recall tasks on time in this unsupervised and remote setting. Our study proves the feasibility of mobile app-based cognitive assessments in a community sample of older adults, demonstrating its validity in relation to conventional cognitive measures and its reliability for repeated measurements over time. To further strengthen study adherence, future studies should implement additional measures to improve task completion on time.
Key findings
- MDT-OS and ORR-LDR were weakly-to-moderately correlated with the Preclinical Alzheimer's Cognitive Composite (PACC5) (r = 0.3-0.44, p < .001) and with several other measures of episodic memory, processing speed, and executive function.
- Test-retest reliability was poor-to-moderate for one single session but improved to moderate-to-good when using the average of two sessions.
- We observed no significant floor or ceiling effects nor effects of education or gender on task performance.
- Contextual factors such as distractions and screen size did not significantly affect task performance.
- Most participants deemed the tasks interesting, but many rated them as highly challenging.
Study details
- Participants172
- Evidence strengthLow
How this study scored 50/100
Published in a peer-reviewed journal. Scored zero for study design, effect reported and randomised / blinded because the record does not state it. We have no data on journal's citation record, times cited, citations per year, impact for its field and year, cited by studies here, still being cited, senior author's track record, institution's track record, multi-centre collaboration and free to read, so those were left out: it earned 28 of the 56 points we could judge it on, which is 50 out of 100.
| Component | Points | Why |
|---|---|---|
| Journal tier | 7 / 10 | Tier 3 — peer-reviewed journal (Frontiers in digital health) |
| Journal's citation record | — / 4 | No journal record from OpenAlex — left out of this score |
| Study design | 0 / 12 | No study design recorded — scores zero, not guessed (not stated in the record — scored 0) |
| Strength of evidence | 1 / 5 | Rated “low” in our summary |
| Peer-review validation | 10 / 10 | Peer-reviewed. Published as an article in a named peer-reviewed journal. |
| How recent | 3 / 5 | 2022 — within 6 year(s) of the newest study here |
| Sample size | 2 / 4 | 172 participants |
| Effect reported | 0 / 3 | No effect size reported — scores zero (not stated in the record — scored 0) |
| Studied in people | 3 / 3 | Studied in people (participant count stated) |
| Randomised / blinded | 0 / 2 | No randomisation or blinding stated — scores zero (not stated in the record — scored 0) |
| Times cited | — / 7 | No citation count (not found in OpenAlex) — left out of this score |
| Citations per year | — / 5 | No citation count or no year — left out of this score |
| Impact for its field and year | — / 6 | No field-weighted citation impact (OpenAlex has none yet) — left out of this score |
| Cited by studies here | — / 6 | Not yet checked against this library's citation graph — left out of this score |
| Still being cited | — / 4 | No yearly citation counts — left out of this score |
| Senior author's track record | — / 4 | Senior author's record not available — left out of this score |
| Institution's track record | — / 3 | No institution listed in OpenAlex — left out of this score |
| Multi-centre collaboration | — / 3 | Institutions not listed — left out of this score |
| Indexed in PubMed | 2 / 2 | Indexed in PubMed (PMID 36426215) |
| Free to read | — / 2 | Access not recorded — left out of this score |
| Points | 28 / 56 | Scored on 10 of 20 parts. We have no data for the rest, so they are left out: 28 of the 56 points we could judge it on is 50 out of 100. |
| Total | 50 / 100 | — |
What each of these 20 components measures, and what this score is not →
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Cite this study APA, Vancouver, BibTeX · download .bib or .ris
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APA 7th
Öhman, F., Berron, D., Papp, K. V., Kern, S., Skoog, J., Bodin, T. H., et al. (2022). Unsupervised mobile app-based cognitive testing in a population-based study of older adults born 1944. Frontiers in digital health. https://doi.org/10.3389/fdgth.2022.933265
Vancouver
Öhman F, Berron D, Papp KV, Kern S, Skoog J, Bodin TH, et al. Unsupervised mobile app-based cognitive testing in a population-based study of older adults born 1944. Frontiers in digital health. 2022. doi:10.3389/fdgth.2022.933265. PMID: 36426215.
BibTeX
@article{ohman2022-36426215,
author = {Öhman, Fredrik and Berron, David and Papp, Kathryn V and Kern, Silke and Skoog, Johan and Bodin, Timothy Hadarsson and Zettergren, Anna and Skoog, Ingmar and others},
title = {{Unsupervised mobile app-based cognitive testing in a population-based study of older adults born 1944}},
journal = {Frontiers in digital health},
year = {2022},
doi = {10.3389/fdgth.2022.933265},
pmid = {36426215},
url = {https://doi.org/10.3389/fdgth.2022.933265}
}