Study Results from Chi-Mei Medical Center Update Understanding of Health Insurance (Understanding the productive author who published papers in... - Insurance News | InsuranceNewsNet

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April 20, 2018 Newswires
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Study Results from Chi-Mei Medical Center Update Understanding of Health Insurance (Understanding the productive author who published papers in…

Managed Care Weekly Digest

Study Results from Chi-Mei Medical Center Update Understanding of Health Insurance (Understanding the productive author who published papers in medicine using National Health Insurance Database A systematic review and meta-analysis)

By a News Reporter-Staff News Editor at Managed Care Weekly Digest -- New research on Health Insurance is the subject of a report. According to news reporting originating from Tainan, Taiwan, by NewsRx correspondents, research stated, "Many researchers used National Health Insurance database to publish medical papers which are often retrospective, population-based, and cohort studies. However, the author's research domain and academic characteristics are still unclear."

Our news editors obtained a quote from the research from Chi-Mei Medical Center, "By searching the PubMed database (Pubmed.com), we used the keyword of [Taiwan] and [National Health Insurance Research Database], then downloaded 2913 articles published from 1995 to 2017. Social network analysis (SNA), Gini coefficient, and Google Maps were applied to gather these data for visualizing: the most productive author; the pattern of coauthor collaboration teams; and the author's research domain denoted by abstract keywords and Pubmed MESH (medical subject heading) terms. Utilizing the 2913 papers from Taiwan's National Health Insurance database, we chose the top 10 research teams shown on Google Maps and analyzed one author (Dr. Kao) who published 149 papers in the database in 2015. In the past 15 years, we found Dr. Kao had 2987 connections with other coauthors from 13 research teams. The cooccurrence abstract keywords with the highest frequency are cohort study and National Health Insurance Research Database. The most coexistent MESH terms are tomography, Xray computed, and positron-emission tomography. The strength of the author research distinct domain is very low (Gini < 0.40). SNA incorporated with Google Maps and Gini coefficient provides insight into the relationships between entities."

According to the news editors, the research concluded: "The results obtained in this study can be applied for a comprehensive understanding of other productive authors in the field of academics."

For more information on this research see: Understanding the productive author who published papers in medicine using National Health Insurance Database A systematic review and meta-analysis. Medicine, 2018;97(8):313-318. Medicine can be contacted at: Lippincott Williams & Wilkins, Two Commerce Sq, 2001 Market St, Philadelphia, PA 19103, USA. (Elsevier - www.elsevier.com; Medicine - www.journals.elsevier.com/medicine/)

The news editors report that additional information may be obtained by contacting H.Y. Wang, Chi Mei Med Center, Nephrol Department, Tainan, Taiwan. Additional authors for this research include Y. Chang and T.W. Chien (see also Health Insurance).

Keywords for this news article include: Tainan, Taiwan, Asia, Information Technology, Insurance Companies, Health and Medicine, Health Insurance, Chi-Mei Medical Center.

Our reports deliver fact-based news of research and discoveries from around the world. Copyright 2018, NewsRx LLC

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