Evidence map›Paper›PMID 24728081›Full record

ArticleMethods of information in medicine2014

Assessing older adults' perceptions of sensor data and designing visual displays for ambient environments. An exploratory study.

B Reeder, J Chung, T Le, H Thompson, G Demiris

Registry-linked trialAbstract read
In one paragraph

Article in Methods of information in medicine, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05379504 (Reducing COVID-19 Related Disability in Rural Community-Dwelling Older Adults Using Smart Technology), which is not on this map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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.

NCT05379504 nacompletednot on this mapstarted 2022, after this paper: background citation

Reducing COVID-19 Related Disability in Rural Community-Dwelling Older Adults Using Smart Technology

TypeinterventionalSponsorUniversity of Missouri-ColumbiaRan2022 to 2024Enrolled58ConditionsQuality of Life, Disabilities MultipleArmsStandard Health Education, Self Management
3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Supporting Patient-Provider Collaboration to Identify Individual Triggers using Food and Symptom Journals.CSCW : proceedings of the Conference on Computer-Supported Cooperative Work. Conference on Computer-Supported Cooperative Work · 2017
    Article
  5. 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.

B ReederBlaine Reeder, College of Nursing, University of Colorado, Anschutz Medical Campus, Mail Stop C288-19, 13120 E 19th Ave, Education 2 North, Aurora, CO 80045, USA, E-mail: blaine.reeder@ucdenver.edu.
J Chung
T Le
H Thompson
G Demiris

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
BIOBEHAVIORAL NURSING RESEARCH TRAINING PROGRAMT32NR007106 · NINR · UNIVERSITY OF WASHINGTON · PI LANDIS, CAROL A · 1999 to 2013
$4.6M
NINR NIH HHS T32 NR007106NINR NIH HHS T32NR007106NLM NIH HHS T15 LM007442
6 · The paper itself

Abstract

introductionThis article is part of the Focus Theme of Methods of Information in Medicine on "Using Data from Ambient Assisted Living and Smart Homes in Electronic Health Records".

objectivesOur objectives were to: 1) characterize older adult participants' perceived usefulness of in-home sensor data and 2) develop novel visual displays for sensor data from Ambient Assisted Living environments that can become part of electronic health records.

methodsSemi-structured interviews were conducted with community-dwelling older adult participants during three and six-month visits. We engaged participants in two design iterations by soliciting feedback about display types and visual displays of simulated data related to a fall scenario. Interview transcripts were analyzed to identify themes related to perceived usefulness of sensor data.

resultsThematic analysis identified three themes: perceived usefulness of sensor data for managing health; factors that affect perceived usefulness of sensor data and; perceived usefulness of visual displays. Visual displays were cited as potentially useful for family members and health care providers. Three novel visual displays were created based on interview results, design guidelines derived from prior AAL research, and principles of graphic design theory.

conclusionsParticipants identified potential uses of personal activity data for monitoring health status and capturing early signs of illness. One area for future research is to determine how visual displays of AAL data might be utilized to connect family members and health care providers through shared understanding of activity levels versus a more simplified view of self-management. Connecting informal and formal caregiving networks may facilitate better communication between older adults, family members and health care providers for shared decision-making.

Indexed as

Attitude to ComputersComputer-Aided DesignComputer TerminalsData DisplayElectronic Health RecordsIndependent LivingRemote Sensing TechnologyTelemetryAgedHomes for the AgedHumansInterview, PsychologicalMonitoring, PhysiologicSelf Careconsumer health informationindependent livingOlder adultssensor datasmart homesvisual display design

Identifiers

PMID24728081
PMCPMC4082667

What OpenQuestion holds

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Registered trials

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.