Characterizing Fit-for-Purpose Real-World Data: An Assessment of a Mother-Infant Linkage in the Japan Medical Data Center Claims Database

被引:1
|
作者
Barberio, Julie [1 ,2 ,4 ]
Hernandez, Rohini K. [2 ]
Naimi, Ashley, I [1 ]
Patzer, Rachel E. [1 ,3 ]
Kim, Christopher [2 ]
Lash, Timothy L. [1 ]
机构
[1] Emory Univ, Dept Epidemiol, Atlanta, GA USA
[2] Amgen Inc, Ctr Observat Res, Thousand Oaks, CA USA
[3] Regenstrief Inst Hlth Care, Indianapolis, IN USA
[4] Emory Univ, Dept Epidemiol, 1518 Clifton Rd, Atlanta, GA 30322 USA
来源
CLINICAL EPIDEMIOLOGY | 2024年 / 16卷
关键词
routine health care data; international databases; database evaluation; UNITED-STATES; TARGET TRIAL; PREGNANCY; CARE; DRUG; PREVALENCE; EXPOSURE;
D O I
10.2147/CLEP.S429246
中图分类号
R1 [预防医学、卫生学];
学科分类号
1004 ; 120402 ;
摘要
Purpose: Observational postapproval safety studies are needed to inform medication safety during pregnancy. Real-world databases can be valuable for supporting such research, but fitness for regulatory purpose must first be vetted. Here, we demonstrate a fit-forpurpose assessment of the Japan Medical Data Center (JMDC) claims database for pregnancy safety regulatory decision-making. Patients and Methods: The Duke-Margolis framework considers a database's fitness for regulatory purpose based on relevancy (capacity to answer the research question based on variable availability and a sufficiently sized, representative population) and quality (ability to validly answer the research question based on data completeness and accuracy). To assess these considerations, we examined descriptive characteristics of infants and pregnancies among females ages 12-55 years in the JMDC between Results: For relevancy, we determined that critical data fields (maternal medications, infant major congenital malformations, covariates) are available. Family identification codes permitted linkage of 385,295 total mother-infant pairs, 57% of which were continuously enrolled during pregnancy. The prevalence of specific congenital malformation subcategories and maternal medical conditions were representative of the general population, but preterm births were below expectations (3.6% versus 5.6%) in this population. For quality, our methods are expected to accurately identify the complete set of mothers and infants with a shared health insurance plan. However, validity of gestational age information was limited given the high proportion (60%) of missing live birth delivery codes coupled with suppression of infant birth dates and inaccessibility of disease codes with gestational week information. Conclusion: The JMDC may be well suited for descriptive studies of pregnant people in Japan (eg, comorbidities, medication usage). More work is needed to identify a method to assign pregnancy onset and delivery dates so that in utero medication exposure windows can be defined more precisely as needed for many regulatory postapproval pregnancy safety studies.
引用
下载
收藏
页码:31 / 43
页数:13
相关论文
共 50 条
  • [1] Characterizing fit-for-purpose real-world data: An assessment of a mother-infant linkage in the Japan medical data center claims database
    Barberio, Julie
    Hernandez, Rohini K.
    Naimi, Ashley I.
    Patzer, Rachel E.
    Kim, Christopher
    Lash, Timothy L.
    PHARMACOEPIDEMIOLOGY AND DRUG SAFETY, 2023, 32 : 613 - 614
  • [2] Building fit-for-purpose real-world clinicogenomic data in aesthetics for personalized skin care goals
    Schneiderman, Chris
    Liu, Mengzhen
    Ukah, Ahunna
    Manson-Brown, Stephanie
    Peterson, Sherket
    Mehta, Rahul
    Waring, Jeff
    Thompson, Debora
    Barry, Dawn
    Liede, Alexander
    PHARMACOEPIDEMIOLOGY AND DRUG SAFETY, 2023, 32 : 434 - 434
  • [3] Real-world evaluation of osteoporotic fractures using the Japan Medical Data Vision database
    Fujiwara, Saeko
    Buchanan-Hughes, Amy
    Ng, Alvin
    Page, Jennifer
    Adachi, Kenji
    Li, Hong
    OSTEOPOROSIS INTERNATIONAL, 2022, 33 (10) : 2205 - 2216
  • [4] Real-world evaluation of osteoporotic fractures using the Japan Medical Data Vision database
    Saeko Fujiwara
    Amy Buchanan-Hughes
    Alvin Ng
    Jennifer Page
    Kenji Adachi
    Hong Li
    Osteoporosis International, 2022, 33 : 2205 - 2216
  • [5] REAL-WORLD TRENDS OF PATIENTS WITH SYPHILIS IN JAPAN USING INTEGRATED DATA OF IQVIA CLAIMS, JAST DATA AND DESC DATABASE
    Kado, Y.
    Kim, S. W.
    Ishii, T.
    VALUE IN HEALTH, 2023, 26 (06) : S195 - S195
  • [6] Persistence rates and medical costs of biological therapies for psoriasis treatment in Japan: a real-world data study using a claims database
    Sruamsiri, Rosarin
    Iwasaki, Kosuke
    Tang, Wentao
    Mahlich, Joerg
    BMC DERMATOLOGY, 2018, 18
  • [7] A Structured Process to Identify Fit-for-Purpose Study Design and Data to Generate Valid and Transparent Real-World Evidence for Regulatory Uses
    Gatto, Nicolle M. M.
    Vititoe, Sarah E. E.
    Rubinstein, Emily
    Reynolds, Robert F.
    Campbell, Ulka B. B.
    CLINICAL PHARMACOLOGY & THERAPEUTICS, 2023, 113 (06) : 1235 - 1239
  • [8] Context and Considerations for Use of Two Japanese Real-World Databases in Japan: Medical Data Vision and Japanese Medical Data Center
    Thomas Laurent
    Jason Simeone
    Ryohei Kuwatsuru
    Takahiro Hirano
    Sophie Graham
    Ryozo Wakabayashi
    Robert Phillips
    Tatsuya Isomura
    Drugs - Real World Outcomes, 2022, 9 : 175 - 187
  • [9] Context and Considerations for Use of Two Japanese Real-World Databases in Japan: Medical Data Vision and Japanese Medical Data Center
    Laurent, Thomas
    Simeone, Jason
    Kuwatsuru, Ryohei
    Hirano, Takahiro
    Graham, Sophie
    Wakabayashi, Ryozo
    Phillips, Robert
    Isomura, Tatsuya
    DRUGS-REAL WORLD OUTCOMES, 2022, 9 (02) : 175 - 187
  • [10] Assessing fit-for-purpose: Surrogate endpoints and clinically important outcomes in Japanese real-world data source in type-2 diabetes
    Wang, Jocelyn Ruoyi
    Patrick, Amanda
    Mattox, Pattra
    Jaksa, Ashley
    PHARMACOEPIDEMIOLOGY AND DRUG SAFETY, 2020, 29 : 593 - 593