Evidence map›Paper›PMID 22420519›Full record

ArticleJournal of gerontological nursing2012

Automated technology to speed recognition of signs of illness in older adults.

Marilyn J Rantz, Marjorie Skubic, Richelle J Koopman, Gregory L Alexander, Lorraine Phillips, Katy Musterman, Jessica Back, Myra A Aud, Colleen Galambos, Rainer Dane Guevara and 1 more

Abstract read
In one paragraph

Article in Journal of gerontological nursing, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 2 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

20 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Linguistic summarization of in-home sensor data.Journal of biomedical informatics · 2019
    Trial
  4. Randomized Trial of Intelligent Sensor System for Early Illness Alerts in Senior Housing.Journal of the American Medical Directors Association · 2017
    Trial
  5. Article
  6. Observational
  7. Article
  8. Article
  9. Review
  10. Article
  11. Article
  12. Automated Health Alerts Using In-Home Sensor Data for Embedded Health Assessment.IEEE journal of translational engineering in health and medicine · 2015
    Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Sensor technology to support Aging in Place.Journal of the American Medical Directors Association · 2013
    Article
  18. Management of Dementia and Depression Utilizing In- Home Passive Sensor Data.Gerontechnology : international journal on the fundamental aspects of technology to serve the ageing society · 2013
    Article
  19. Article
  20. 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

11 authors.

Marilyn J RantzSinclair School of Nursing, University of Missouri, Columbia, MO, USA. rantzm@missouri.edu
Marjorie Skubic
Richelle J Koopman
Gregory L Alexander
Lorraine Phillips
Katy Musterman
Jessica Back
Myra A Aud
Colleen Galambos
Rainer Dane Guevara
Steven J Miller

Funding

Technology to Automatically Detect Early Signs of Illness in Senior HousingR21NR011197 · NINR · UNIVERSITY OF MISSOURI-COLUMBIA · PI RANTZ, MARILYN J · 2009 to 2010
$405k
NINR NIH HHS 1R21NR011197-02NINR NIH HHS R21 NR011197
6 · The paper itself

Abstract

Our team has developed a technological innovation that detects changes in health status that indicate impending acute illness or exacerbation of chronic illness before usual assessment methods or self-reports of illness. We successfully used this information in a 1-year prospective study to alert health care providers so they could readily assess the situation and initiate early treatment to improve functional independence. Intervention participants showed significant improvements (as compared with the control group) for the Short Physical Performance Battery gait speed score at Quarter 3 (p = 0.03), hand grip-left at Quarter 2 (p = 0.02), hand grip-right at Quarter 4 (p = 0.05), and the GAITRite functional ambulation profile score at Quarter 2 (p = 0.05). Technological methods such as these could be widely adopted in older adult housing, long-term care settings, and in private homes where older adults wish to remain independent for as long as possible.

Indexed as

AutomationEarly DiagnosisAgedHumansInternetProspective StudiesRetrospective StudiesUser-Computer Interface

Identifiers

PMID22420519
PMCPMC3366277

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.