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Japanese Journal of Pharmacoepidemiology ; : 23-29, 2013.
Article in Japanese | WPRIM | ID: wpr-374833

ABSTRACT

PMDA started MIHARI project in FY2009 to enhance drug safety assessment by developing ways to utilize electronic medical information as additional data sources to spontaneous adverse drug reaction reports. The project has been established according to PMDA's second midterm plan. In this article, we will introduce latest two studies (pilot studies No. 4 and 5) using data of standardized electronic medical record(EMR) called SS-MIX (standardized structured medical record information exchange) data out of our several pilot studies. SS-MIX is a standard specification published by the Ministry of Health, Labour and Welfare. In these studies, anonymized SS-MIX data were provided by six collaborative hospitals respectively. In pilot study No. 4, we explored approaches for evaluating the impact of regulatory action which instructed relevant manufacturers to revise package inserts of sitagliptin phosphate hydrate (sitagliptin) to call physician's attention. The revision was about reducing dose of sulfonylurea (SU) to avoid serious hypoglycemia when it is prescribed concomitantly with sitagliptin. As indicators of the impact, we evaluated changes in proportion of concomitant use and average SU dose before and after the action and estimated the risk of hypoglycemia in concomitant users compared to SU alone users before and after the action. In conclusion, evaluating impact of the regulatory action using SS-MIX data was technically feasible; however, it was difficult to analyze with adequate accuracy due to limited size of the data. In pilot study No. 5, we examined validity of outcome definitions for hyperthyroidism which were applied to combinations of some data elements of SS-MIX data to identify the patients. Three types of outcome definitions were prepared; 1) definitive diagnosis of hyperthyroidism, 2) prescription of medication for hyperthyroidism, 3) prescription of medication for hyperthyroidism in or after the month in which definitive diagnosis of hyperthyroidism was given. Criteria for case ascertainment were determined according to relevant clinical guidelines. After the cases were ascertained, positive predictives values were calculated. The results suggested that using information on prescription of medication improves validity of definition of outcome. The findings from pilot studies in MIHARI project have been utilized in another project which PMDA is carrying forward now (EMR network project). The findings would be also helpful when we use data from this network. (Jpn J Pharmacoepidemiol 2013;18(1):23-29)

2.
Japanese Journal of Pharmacoepidemiology ; : 55-65, 2012.
Article in Japanese | WPRIM | ID: wpr-374810

ABSTRACT

One of the target points in the PMDA 2nd midterm plan (FY2009-2013) is reinforcement and enhancement of the system for safety evaluation for pharmaceuticals using expanded data sources beyond spontaneous reports of adverse drug reactions (ADRs). To achieve this goal, PMDA started investigation in FY2009 to develop methodology to utilize electronic medical information for secondary purpose of safety evaluation of pharmaceuticals. (MIHARI project- Medical Information for Risk Assessment Initiative)<br>Data sources targeted in MIHARI project are claims data, diagnosis procedure combination (DPC) data, hospital information system (HIS) data, etc.<br>Secondary use of electronic medical information for safety evaluation is expected to enable safety evaluation based on quantitative analysis, which has been difficult so far. It will also provide faster and easier way of evaluation compared to collecting primary data from study planned and conducted just for the purpose.<br>PMDA intends to establish the system to utilize electronic medical information (eg. claim data, DPC data, HIS data) practically for safety evaluation by the end of FY2013. Aiming for this, PMDA is conducting various pilot studies using currently available data in the MIHARI project. Here we report on recent developments of this project.

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