Journal of Multidisciplinary Healthcare
Open access peer-reviewed scientific and medical journals.
Dove Medical Press is now a member of the Open Access Initiative
An Author's Guide
A guide to help authors get their paper published.
Support Open Access and Dove Press
Promotional Article Monitoring - further details
Favored Author Program
Real benefits for authors, including fast-track processing of papers.
Technological innovation and its effect on public health in the United States
(3563) Total Article Views
Authors: Gill PS
Published Date January 2013
Volume 2013:6 Pages 31 - 40
|Received:||08 June 2012|
|Accepted:||18 December 2012|
|Published:||23 January 2013|
College of Technology, Eastern Michigan University, Ypsilanti, MI, USA
Background: Good public health ensures an efficient work force. Organizations can ensure a prominent position on the global stage by staying on the leading edge of technological development. Public health and technological innovation are vital elements of prosperous economies. It is important to understand how these elements affect each other. This research study explored and described the relationship between these two critical elements/constructs.
Methods: Indicators representing technological innovation and public health were identified. Indicator data from 2000 to 2009 were collected from various US federal government sources, for the four US Census regions. The four US Census regions were then compared in terms of these indicators. Canonical correlation equations were formulated to identify combinations of the indicators that are strongly related to each other. Additionally, the cause–effect relationship between public health and technological innovation was described using the structural equation modeling technique.
Results: The four US Census regions ranked differently in terms of both type of indicators in a statistically significant manner. The canonical correlation analysis showed that the first set of canonical variables had a fairly strong relationship, with a magnitude > 0.65 at the 95% confidence interval, for all census regions. Structural equation modeling analysis provided β < −0.69 and Student’s t statistic > 12.98, for all census regions. The threshold Student’s t statistic was 1.98. Hence, it was found that the β values were significant at the 95% confidence interval, for all census regions.
Discussion: The results of the study showed that better technological innovation indicator scores were associated with better public health indicator scores. Furthermore, the study provided preliminary evidence that technological innovation shares causal relation with public health.
Keywords: technological innovation, public health
Cannotea Citeulike Del.icio.us Facebook LinkedIn Twitter
Other articles by Mr Preetinder Gill
Readers of this article also read:
"You do a tremendous job!!" Ruben Restrepo, University of Texas Health Science Center, San Antonio.
- MLA'14 -
May 16–21, 2014
- ISPOR International meeting
May 31 - June 4, 2014
- ISPOR 17th Annual European Congress 2014
8 - 12 November, 2014
Amsterdam, The Netherlands
- Diagnosis of depression by MRI scans with the use of VSRAD – a promising auxiliary means of diagnosis: a report of 10 years research
- Review of evidence for immune evasion and persistent infection in Lyme disease
- Effects of selective serotonin reuptake inhibitors on motor neuron survival
- Amino acid management of Parkinson’s disease: a case study