Evidence map›Paper›PMID 28059694›Full record

SynthesisJournal of innovation in health informatics2016

Visualization approaches to support healthy aging: A systematic review.

Uba Backonja, Nai-Ching Chi, Yong Choi, Amanda K Hall, Thai Le, Youjeong Kang, George Demiris

Abstract readSystematic Review
In one paragraph

Synthesis in Journal of innovation in health informatics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
–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

8 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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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

7 authors.

Uba BackonjaDepartment of Biomedical Informatics and Health Education, University of Washington School of Medicine, Seattle WA. backonja@uw.edu.
Nai-Ching ChiDepartment of Biobehavioral Nursing and Health Systems, University of Washington School of Nursing, Seattle WA. ncc17@uw.edu.
Yong ChoiDepartment of Biomedical Informatics and Health Education, University of Washington School of Medicine, Seattle WA. yongchoi@uw.edu.
Amanda K HallDepartment of Biomedical Informatics and Health Education, University of Washington School of Medicine, Seattle WA Physio-Control Dev. Co. LLC, Seattle WA. mandiha@uw.edu.
Thai LeDepartment of Biomedical Informatics and Health Education, University of Washington School of Medicine, Seattle WA. tle23@uw.edu.
Youjeong KangDepartment of Biobehavioral Nursing and Health Systems, University of Washington School of Nursing, Seattle WA. ykan@uw.edu.
George DemirisDepartment of Biobehavioral Nursing and Health Systems, University of Washington School of Nursing, Seattle WA Department of Biomedical Informatics and Health Education, University of Washington School of Medicine, Seattle WA. gdemiris@uw.edu.

Funding

University of Washington Biomedical Informatics and Data Science Research Training ProgramT15LM007442 · NLM · UNIVERSITY OF WASHINGTON · PI JOHN H. GENNARI, Andrea L. Hartzler · 2002 to 2026
$19.6M
Aging and Informatics Training ProgramT32NR014833 · NINR · UNIVERSITY OF WASHINGTON · PI THOMPSON, HILAIRE J · 2014 to 2018
$982k
NINR NIH HHS T32 NR014833NLM NIH HHS T15 LM007442
6 · The paper itself

Abstract

backgroundHealth technologies have the potential to support the growing number of older adults who are aging in place. Many tools include visualizations (data visualizations, visualizations of physical representations). However, the role of visualizations in supporting aging in place remains largely unexplored.

objectiveTo synthesize and identify gaps in the literature evaluating visualizations (data visualizations and visualizations of physical representations), for informatics tools to support healthy aging.

methodsWe conducted a search in CINAHL, Embase, Engineering Village, PsycINFO, PubMed, and Web of Science using a priori defined terms for publications in English describing community-based studies evaluating visualizations used by adults aged ≥65 years.

resultsSix out of the identified 251 publications were eligible. Most studies were user studies and varied methodological quality. Three visualizations of virtual representations supported performing at-home exercises. Participants found visual representations either (a) helpful, motivational, and supported their understanding of their health behaviors or (b) not an improvement over alternatives. Three data visualizations supported understanding of one's health. Participants were able to interpret data visualizations that used precise data and encodings that were more concrete better than those that did not provide precision or were abstract. Participants found data visualizations helpful in understanding their overall health and granular data.

conclusionsStudies we identified used visualizations to promote engagement in exercises or understandings of one's health. Future research could overcome methodological limitations of studies we identified to develop visualizations that older adults could use with ease and accuracy to support their health behaviors and decision-making.

Indexed as

Computer GraphicsConsumer Health InformationHealthy AgingAgedAged, 80 and overDecision MakingDecision Support TechniquesFemaleHumansIndependent LivingMaleMedical InformaticsMonitoring, PhysiologicAgedconsumer health informationdata displayinformaticsvisualization

Identifiers

PMID28059694
PMCPMC5222528

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.