Academic literature on the topic 'Insurance Claims Database'

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Journal articles on the topic "Insurance Claims Database"

1

Sato, Daisuke, Takeru Shiroiwa, and Takashi Fukuda. "PP079 The Construction Of Database Using Japanese National Claims Database." International Journal of Technology Assessment in Health Care 33, S1 (2017): 108. http://dx.doi.org/10.1017/s0266462317002501.

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INTRODUCTION:In 2014, the Ministry of Health, Labor and Welfare (MHLW) in Japan began to assume a cost-effectiveness perspective. Some expensive pharmaceutical and medical devices have been regulated, which resulted in a drastic change of the healthcare system.The Japanese National Insurance Claims Database (NDB) is an administrative database based on claims data from Medical Insurance Claims since 2008. The government enacted the Act on Assurance of Medical Care for Elderly People during health care reform in 2008. In 2006, the MHLW commenced discussions on a framework for the optimization of
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Schaefer, Eric, Evangelos Messaris, Christopher Hollenbeak, and Audrey Kulaylat. "Truven Health Analytics MarketScan Databases for Clinical Research in Colon and Rectal Surgery." Clinics in Colon and Rectal Surgery 32, no. 01 (2019): 054–60. http://dx.doi.org/10.1055/s-0038-1673354.

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AbstractThe MarketScan databases are a family of administrative claims databases that contain data on inpatient and outpatient claims, outpatient prescription claims, clinical utilization records, and healthcare expenditures. The three main databases available for use are each composed of a convenience sample for one of the following patient populations: (1) patients with employer-based health insurance from contributing employers, (2) Medicare beneficiaries who possess supplemental insurance paid by their employers, and (3) patients with Medicaid in one of eleven participating states. Eleven
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Landis, Sarah H., Beth L. Nordstrom, Leah B. Sansbury, et al. "Disruptions in Liver Function among Cancer Patients and Patients Treated with Tyrosine Kinase Inhibiting Drugs: Comparisons of Two Population-Based Databases." Journal of Cancer Epidemiology 2013 (2013): 1–11. http://dx.doi.org/10.1155/2013/358285.

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Liver toxicity is a recognized adverse event associated with small molecule tyrosine kinase inhibitors (TKIs). Electronic Medical Record (EMR) databases offer the most precise data to investigate the rate of liver function test (LFT) elevations; however, they can be limited in sample size and costly to access and analyze. Health insurance claims databases often contain larger samples sizes but may lack key health information. We evaluated the feasibility of utilizing a large claims database to calculate incidence rates (IRs) of LFT elevations among a general cohort of cancer patients and a coh
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Miura, Masayoshi, Keiko Sato, Hisao Muto, Kusuma Gopala, and Katsiaryna Holl. "Intussusception in Japanese infants: Analysis of health insurance claims database." Open Journal of Pediatrics 03, no. 04 (2013): 311–16. http://dx.doi.org/10.4236/ojped.2013.34056.

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Ricchetti-Masterson, Kristen, Molly Aldridge, John Logie, Nittaya Suppapanya, and Suzanne F. Cook. "Exploring Methods to Measure the Prevalence of Ménière's Disease in the US Clinformatics™ Database, 2010-2012." Audiology and Neurotology 21, no. 3 (2016): 172–77. http://dx.doi.org/10.1159/000441963.

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Recent studies on the epidemiology of the inner-ear disorder Ménière's disease (MD) use disparate methods for sample selection, case identification and length of observation. Prevalence estimates vary geographically from 17 to 513 cases per 100,000 people. We explored the impact of case detection strategies and observation periods in estimating the prevalence of MD in the USA, using data from a large insurance claims database. Using case detection strategies of ≥1, ≥2 and ≥3 ICD-9 claim codes for MD within a 1-year period, the 2012 prevalence estimates were 66, 27 and 14 cases per 100,000 peop
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Hrzic, Rok, Timo Clemens, Daan Westra, and Helmut Brand. "Comparability in Cross-National Health Research Using Insurance Claims Data: The Cases of Germany and The Netherlands." Das Gesundheitswesen 82, S 01 (2019): S83—S90. http://dx.doi.org/10.1055/a-1005-6792.

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Abstract Objective Comparison is a key method in learning about what works in health and healthcare. We discuss the importance of comparability in cross-national health research using health insurance claims data, develop a framework to systematically asses these threats and apply it to the German (DaTraV) and Dutch (Vektis) national-level insurance claims datasets. Methods We propose a framework of threats to the comparability of health insurance claims databases, which includes three domains: (1) representation of populations compared, (2) data sources and data processing and (3) database co
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Loftus, Edward V., David J. Delgado, Howard S. Friedman, and William J. Sandborn. "Colectomy for Ulcerative Colitis in a Large Private Insurance Claims Database." American Journal of Gastroenterology 101 (September 2006): S438—S439. http://dx.doi.org/10.14309/00000434-200609001-01121.

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Loftus, Edward V., David J. Delgado, Howard S. Friedman, and William J. Sandborn. "Colectomy for Ulcerative Colitis in a Large Private Insurance Claims Database." American Journal of Gastroenterology 101 (September 2006): S439. http://dx.doi.org/10.14309/00000434-200609001-01122.

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Ryu, Dong-Ryeol. "Introduction to the Medical Research Using National Health Insurance Claims Database." Ewha Medical Journal 40, no. 2 (2017): 66. http://dx.doi.org/10.12771/emj.2017.40.2.66.

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Nagai, Katsuhiko, Takashi Tanaka, Norihisa Kodaira, Shinya Kimura, Yoshimitsu Takahashi, and Takeo Nakayama. "Data resource profile: JMDC claims database sourced from health insurance societies." Journal of General and Family Medicine 22, no. 3 (2021): 118–27. http://dx.doi.org/10.1002/jgf2.422.

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