Evidence map›Paper›PMID 37841867›Full record

ArticleResearch square2023

Adherence type impacts completion rates of frequent mobile cognitive assessments among older adults with and without cognitive impairment.

Kieffer Christianson, Meha Prabhu, Zachary T Popp, Md Salman Rahman, James Drane, Marissa Lee, Corinna Lathan, Honghuang Lin, Rhoda Au, Preeti Sunderaraman and 1 more

Abstract readPreprint
In one paragraph

Article in Research square, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors.

Kieffer ChristiansonUniversity of Nevada.
Meha PrabhuBoston University School of Medicine.
Zachary T PoppBoston University School of Medicine.
Md Salman RahmanBoston University School of Medicine.
James DraneAnthroTronix (United States).
Marissa LeeAnthroTronix (United States).
Corinna LathanAnthroTronix (United States).
Honghuang LinUniversity of Massachusetts Medical School.
Rhoda AuBoston University School of Medicine.
Preeti SunderaramanBoston University School of Medicine.
Phillip H HwangBoston University School of Public Health.

Funding

Neuropathology CoreP30AG013846 · NIA · BOSTON UNIVERSITY MEDICAL CAMPUS · PI KOWALL, NEIL W. · 1996 to 2020
$29.1M
Social and behavioral determinants of health and Alzheimer’s Disease: Cohort study of the US military veteran populationR01AG080670 · NIA · UNIVERSITY OF MASSACHUSETTS LOWELL · PI HONG YU · 2023 to 2026
$4.5M
DANA; A Tool to Detect Cognitive Changes in Pre-clinical and MCI Patients (Admin Supplement)R44AG063635 · NIA · ANTHROTRONIX, INC. · PI LATHAN, CORINNA E · 2019 to 2020
$2.6M
Assessing Alzheimer disease risk and heterogeneity using multimodal machine learning approachesU01AG068221 · NIA · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI DESTEFANO, ANITA L, LIN, HONGHUANG · 2021 to 2024
$2.5M
NIA NIH HHS P30 AG013846NIA NIH HHS R01 AG080670NIA NIH HHS R44 AG063635NIA NIH HHS U01 AG068221
6 · The paper itself

Abstract

Background: Prior to a diagnosis of Alzheimer's disease, many individuals experience cognitive and behavioral fluctuations that are not detected during a single session of traditional neuropsychological assessment. Mobile applications now enable high-frequency cognitive data to be collected remotely, introducing new opportunities and challenges. Emerging evidence suggests cognitively impaired older adults are capable of completing mobile assessments frequently, but no study has observed whether completion rates vary by assessment frequency or adherence type. Methods: Thirty-three older adults were recruited from the Boston University Alzheimer's Disease Research Center (mean age = 73.5 years; 27.3% cognitively impaired; 57.6% female; 81.8% White, 18.2% Black). Participants remotely downloaded and completed the DANA Brain Vital application on their own mobile devices throughout the study. The study schedule included seventeen assessments to be completed over the course of a year. Specific periods during which assessments were expected to be completed were defined as subsegments, while segments consisted of multiple subsegments. The first segment included three subsegments to be completed within one week, the second segment included weekly subsegments and spanned three weeks, and the third and fourth segments included monthly subsegments spanning five and six months, respectively. Three distinct adherence types - Results: Adherence type significantly impacted whether the completion rates declined. When utilizing Conclusions: Older adults, including those with cognitive impairment, are able to complete remote cognitive assessments at a high-frequency, but may not necessarily adhere to prescribed schedules.

Identifiers

PMID37841867
PMCPMC10571616

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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 OpenQuestion graph.