Evidence map›Paper›PMID 39616431›Full record

ArticleNursing research

Predictors of Decisional Capacity in Alzheimer's Disease Biomarker Test Candidates.

Jeong Eun Kim, Susan M Sereika, Lisa K Tamres, Jennifer H Lingler

Abstract read
In one paragraph

Article in Nursing research. 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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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

Jeong Eun KimJeong Eun Kim, BSN, RN, is PhD Candidate, Susan M. Sereika, PhD, is Professor, Lisa K. Tamres, MS, is Research Associate, and Jennifer H. Lingler, PhD, MA, CRNP, FAAN, is Professor, University of Pittsburgh School of Nursing, Pennsylvania.ORCID 0009-0002-8605-7026
Jennifer H LinglerORCID 0000-0003-0173-501

Funding

TREATMENT OF DEPRESSION IN ALZHEIMER'S DISEASEP50AG005133 · NIA · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI SWEET, ROBERT A · 1985 to 2019
$43.0M
Research Education ComponentP30AG066468 · NIA · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI C. Elizabeth Shaaban · 2020 to 2026
$29.4M
Return of Amyloid Imaging Research Results in MCIR01AG046906 · NIA · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI LINGLER, JENNIFER HAGERTY · 2014 to 2017
$1.6M
NIA NIH HHS P30 AG066468NIA NIH HHS P50 AG005133NIA NIH HHS R01 AG046906
6 · The paper itself

Abstract

backgroundDeciding to learn one's Alzheimer's disease (AD) biomarker status is a high-stakes endeavor that requires comprehending and deliberating about complex and nuanced information. Assessing capacity to consent to AD biomarker testing and disclosure is further complicated when candidates have cognitive impairment and present with family care partners.

objectiveThe objective of this analysis was to identify predictors of decisional capacity for an amyloid positron emission tomography disclosure study among persons with mild cognitive impairment (MCI) and their family care partners.

methodsThis analysis used an analytical correlational design, using baseline data from a randomized controlled trial of amyloid positron emission tomography results disclosure. Simple linear regression was used to examine predictors of decisional capacity. Focusing on persons with MCI, the predictor variables of interest were sociodemographic characteristics, level of knowledge of MCI/AD, global cognition, and neuropsychological tests of language and executive functioning. Dyadic analyses were conducted with data from 82 dyads of persons with MCI and care providers using the Actor-Partner Interdependence Model to assess for presence of actor and partner effects among key variables.

resultsCapacity-to-consent scores demonstrated sufficient capacity for all participants to consent to the study. For persons with MCI, lower age, higher mental status scores, MCI/AD knowledge scores, and better performance on measures of language and executive functioning were predictors of decisional capacity. The model revealed positive actor relations for MCI/AD knowledge with decisional capacity for both persons with MCI and family care partners and negative partner relationships for family care partners' MCI/AD knowledge with the decisional capacity of persons with MCI. DISCUSSION: Assessment of decisional capacity is imperative when considering participation in AD research, including studies with high-stakes procedures like biomarker results disclosure. Our findings highlight that not only do individual characteristics put persons with MCI at risk for lower decisional capacity, but dyadic effects from family care partners may also be present.

Indexed as

Alzheimer DiseaseCognitive DysfunctionDecision MakingInformed ConsentMental CompetencyAgedAged, 80 and overBiomarkersCaregiversFemaleHumansMaleMiddle AgedNeuropsychological TestsPositron-Emission TomographyBiomarkers

Identifiers

PMID39616431
PMCPMC12172539

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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.