Evidence map›Paper›PMID 39019302›Full record

ArticleJournal of biomedical informatics2024

A visual approach to facilitating conversations about supportive care options in the context of cognitive impairment.

Annie T Chen, Claire E Child, Mary Grace Asirot, Kimiko Domoto-Reilly, Anne M Turner

Abstract read
In one paragraph

Article in Journal of biomedical informatics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

5 authors.

Annie T ChenDepartment of Biomedical Informatics and Medical Education, University of Washington School of Medicine, Box 358047, Seattle, WA 98109, United States. Electronic address: atchen@uw.edu.
Claire E ChildDepartment of Rehabilitation Medicine, University of Washington School of Medicine, UW Health Sciences Building, Box 356490, Seattle, WA 98195, United States. Electronic address: cechild@uw.edu.
Mary Grace AsirotDepartment of Neurology, University of Washington School of Medicine, Box 359775, 325 9(th) Ave, Seattle, WA 98104, United States. Electronic address: asirotmg@uw.edu.
Kimiko Domoto-ReillyDepartment of Neurology, University of Washington School of Medicine, Box 359791, 325 Ninth Ave, Seattle, WA 98104, United States. Electronic address: kdr123@uw.edu.
Anne M TurnerDepartment of Biomedical Informatics and Medical Education, University of Washington School of Medicine, Box 358047, Seattle, WA 98109, United States; Department of Health Systems and Population Health, University of Washington School of Public Health, Hans Rosling Center, 4(th) Floor, 3980 15th Ave NE, Seattle, WA 98105, Box 351621, University of Washington, United States. Electronic address: amturner@uw.edu.

Funding

Person-centered decision making: Developing a choice-based preference tool for transitions in dementia careR01AG066957 · NIA · UNIVERSITY OF WASHINGTON · PI TURNER, ANNE M · 2020 to 2025
$3.5M
NIA NIH HHS R01 AG066957
6 · The paper itself

Abstract

backgroundPersons with cognitive impairment may experience difficulties with language and cognition that interfere with their ability to communicate about health-related decision making.

objectiveWe developed a visual elicitation technique to facilitate conversations about preferences concerning potential future supportive care needs and explored the utility of this technique in a qualitative interview study.

methodsWe conducted 15 online interviews with persons with mild cognitive impairment and mild to moderate dementia, using storytelling and a virtual tool designed to facilitate discussion about preferences for supportive care. Interviews were transcribed verbatim and analyzed using an inductive qualitative data analysis method. We report our findings with respect to several main themes. First, we considered participants' perspectives on supportive care. Next, we examined the utility of the tool for engaging participants in conversation through two themes: cognitive and communicative processes exhibited by participants; and dialogic interactions between the interviewer and the participant.

resultsWith respect to participants' perspectives on supportive care, common themes included considerations relating to informal caregivers such as availability and burden, and the quality of care options such as paid caregivers. Other themes, such as the importance of making decisions as a family, considerations related to facing these challenges on one's own, and the fluid nature of decision making, also emerged. Common communicative processes included not being responsive to the question and unclear responses. Common cognitive processes included uncertainty and introspection, or self-awareness, of one's cognitive abilities. Last, we examined dialogic interactions between the participant and the interviewer to better understand engagement with the tool. The interviewer was active in using the visualization tool to facilitate the conversation, and participants engaged with the interface to varying degrees. Some participants expressed greater agency and involvement through suggesting images, elaborating on their or the interviewer's comments, and suggesting icon labels.

conclusionThis article presents a visual method to engage older adults with cognitive impairment in active dialogue about complex decisions. Though designed for a research setting, the diverse communication and participant-interviewer interaction patterns observed in this study suggest that the tool might be adapted for use in clinical or community settings.

Indexed as

Cognitive DysfunctionCommunicationAgedAged, 80 and overCaregiversDecision MakingDementiaFemaleHumansMaleMiddle AgedCognitive impairmentDecision makingInterview studyOlder adultOnline visual toolVisual elicitation technique

Identifiers

PMID39019302
PMCPMC11402575

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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.