Evidence map›Paper›PMID 23463915›Full record

ArticleJournal of gerontological nursing2013

Mobile computer application for promoting physical activity.

Siobhan McMahon, Mithra Vankipuram, Julie Fleury

Abstract read
In one paragraph

Article in Journal of gerontological nursing, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 2 pooled it
0.5field-weighted citation impact, top 30% 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

3 citing papers in PubMed, 2 syntheses or guidelines pooled it, 11 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. 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

3 authors at 3 institutions in 1 country.

Siobhan McMahonUniversity of Minnesota, School of Nursing, Minneapolis, Minnesota 55455, USA. skmcmaho@umn.edu
Mithra Vankipuram
Julie Fleury
Arizona State University · USHewlett-Packard (United States) · USUniversity of Minnesota · US

Funding

University of Minnesota Clinical and Translational Science Institute (UMN CTSI)UL1TR000114 · NCATS · UNIVERSITY OF MINNESOTA · PI BLAZAR, BRUCE R · 2012 to 2015
$35.0M
University of Minnesota Clinical and Translational Science Institute (UMN CTSI)KL2TR000113 · NCATS · UNIVERSITY OF MINNESOTA · PI BLAZAR, BRUCE R · 2012 to 2015
$5.4M
Enhancing Motivation for Physical Activity to Reduce the Risk of FallsF31NR012351 · NINR · ARIZONA STATE UNIVERSITY-TEMPE CAMPUS · PI MCMAHON, SIOBHAN KATHLEEN · 2010 to 2011
$70k
NCATS NIH HHS KL2 TR000113NCATS NIH HHS UL1 TR000114NINR NIH HHS F31 NR012351NINR NIH HHS F31NR012351
6 · The paper itself

Abstract

Despite evidence that physical activity reduces the risk of falls and other causes of disability and death, the majority of older adults do not engage in physical activity on a regular basis. Mobile technology applications have emerged as potential resources for promoting physical activity behavior. This article describes features of a new application, Ready∼Steady, highlighting approaches used in its design and development, and implications for clinical practice. Iterative processes enabled the design, development, implementation, and evaluation of the application consistent with the wellness motivation theory, as well as established user-specific strategies and theoretical design principles. Implications in terms of potential benefits and constraints are discussed. Integrating technology that promotes health and wellness in the form of mobile computer applications is a promising adjunct to nursing practice.

Indexed as

MicrocomputersMotor ActivityHealth PromotionHumansUser-Computer Interface

Identifiers

PMID23463915
PMCPMC5326687
OpenAlexW2316783861

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.