Evidence map›Paper›PMID 21873920›Full record

ArticleNursing research

Passive sensor technology interface to assess elder activity in independent living.

Gregory L Alexander, Bonnie J Wakefield, Marilyn Rantz, Marjorie Skubic, Myra A Aud, Sanda Erdelez, Said Al Ghenaimi

Abstract readEvaluation Study
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. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 1 pooled it
17.1field-weighted citation impact, top 1% of its field
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

15 citing papers in PubMed, 1 synthesis or guideline pooled it, 43 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Visioning the Future of Gerontological Digital Social Work.Journal of gerontological social work · 2020
    Review
  9. Advancing health information technology roadmaps in long term care.International journal of medical informatics · 2020
    Review
  10. Review
  11. Article
  12. Article
  13. Article
  14. Decision support at home (DS@HOME)--system architectures and requirements.BMC medical informatics and decision making · 2012
    Review
  15. 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

7 authors at 1 institution in 2 countries.

Gregory L AlexanderSinclair School of Nursing, University of Missouri, Columbia, MO 65211, USA. alexanderg@missouri.edu
Bonnie J Wakefield
Marilyn Rantz
Marjorie Skubic
Myra A Aud
Sanda Erdelez
Said Al Ghenaimi
Centre for Nursing Innovation · GB

Funding

Assessing the Relationship Between IT Sophistication and Nursing Home QualityK08HS016862 · AHRQ · UNIVERSITY OF MISSOURI-COLUMBIA · PI ALEXANDER, GREGORY L. · 2007 to 2011
$519k
AHRQ HHS K08 HS016862AHRQ HHS K08HS016862NIA NIH HHS L30 AG030776
6 · The paper itself

Abstract

backgroundThe effectiveness of clinical information systems to improve nursing and patient outcomes depends on human factors, including system usability, organizational workflow, and user satisfaction.

objectiveThe aim of this study was to examine to what extent residents, family members, and clinicians find a sensor data interface used to monitor elder activity levels usable and useful in an independent living setting.

methodsThree independent expert reviewers conducted an initial heuristic evaluation. Subsequently, 20 end users (5 residents, 5 family members, 5 registered nurses, and 5 physicians) participated in the evaluation. During the evaluation, each participant was asked to complete three scenarios taken from three residents. Morae recorder software was used to capture data during the user interactions.

resultsThe heuristic evaluation resulted in 26 recommendations for interface improvement; these were classified under the headings content, aesthetic appeal, navigation, and architecture, which were derived from heuristic results. Total time for elderly residents to complete scenarios was much greater than for other users. Family members spent more time than clinicians but less time than residents did to complete scenarios. Elder residents and family members had difficulty interpreting clinical data and graphs, experienced information overload, and did not understand terminology. All users found the sensor data interface useful for identifying changing resident activities. DISCUSSION: Older adult users have special needs that should be addressed when designing clinical interfaces for them, especially information as important as health information. Evaluating human factors during user interactions with clinical information systems should be a requirement before implementation.

Indexed as

Activities of Daily LivingIndependent LivingAgedAged, 80 and overDiagnosis, Computer-AssistedFemaleGeriatric AssessmentHumansMaleMiddle AgedMonitoring, PhysiologicNeeds AssessmentNursing AssessmentTechnology Assessment, BiomedicalUser-Computer Interface

Identifiers

PMID21873920
PMCPMC3272505
OpenAlexW2094383022

What OpenQuestion holds

Textmetadata
LicenceTDM
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.