Brief Report. Issue 6 (November 2015)

• Record Type: Journal Article
• Authors: Lai, Edward Chia-Cheng; Man, Kenneth K. C.; Chaiyakunapruk, Nathorn; Cheng, Ching-Lan; Chien, Hsu-Chih; Chui, Celine S. L.; Dilokthornsakul, Piyameth; Hardy, N. Chantelle; Hsieh, Cheng-Yang; Hsu, Chung Y.; Kubota, Kiyoshi; Lin, Tzu-Chieh; Liu, Yanfang; Park, Byung Joo; Pratt, Nicole; Roughead, Elizabeth E.; Shin, Ju-Young; Watcharathanakij, Sawaeng; Wen, Jin; Wong, Ian C. K.; Yang, Yea-Huei Kao; Zhang, Yinghong; Setoguchi, Soko
• Is Part Of: Epidemiology. Volume 26:Issue 6(2015:Nov.)
• Publication Date: 2015-11
• Subjects: Epidemiology -- Periodicals; Epidemiology -- Environmental aspects -- Periodicals; Epidemiology -- Periodicals; 614.405
• DOI: 10.1097/EDE.0000000000000325
• Languages: English
• ISSNs: 1044-3983

Abstract

<abstract> <title> <x xml:space="preserve">Abstract</x> </title> <sec> <title>Background:</title> <p>This study describes the availability and characteristics of databases in Asian-Pacific countries and assesses the feasibility of a distributed network approach in the region.</p> </sec> <sec> <title>Methods:</title> <p>A web-based survey was conducted among investigators using healthcare databases in the Asia-Pacific countries. Potential survey participants were identified through the Asian Pharmacoepidemiology Network.</p> </sec> <sec> <title>Results:</title> <p>Investigators from a total of 11 databases participated in the survey. Database sources included four nationwide claims databases from Japan, South Korea, and Taiwan; two nationwide electronic health records from Hong Kong and Singapore; a regional electronic health record from western China; two electronic health records from Thailand; and cancer and stroke registries from Taiwan.</p> </sec> <sec> <title>Conclusions:</title> <p>We identified 11 databases with capabilities for distributed network approaches. Many country-specific coding systems and terminologies have been already converted to international coding systems. The harmonization of health expenditure data is a major obstacle for future investigations attempting to evaluate issues related to medical costs.</p> </sec> </abstract>