ArticleJournal of multidisciplinary healthcare2013
Technological innovation and its effect on public health in the United States.
Article in Journal of multidisciplinary healthcare, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
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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.
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.
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Who cites it
2 citing papers in PubMed.
- Consolidation and maturation of the orthopaedic medical device market between 1999 and 2015.European journal of orthopaedic surgery & traumatology : orthopedie traumatologie · 2019Article
- Extended roles for allied health professionals: an updated systematic review of the evidence.Journal of multidisciplinary healthcare · 2014Review
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Authors and funding
1 author.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundGood 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.
methodsIndicators 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.
resultsThe 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.
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