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Sugiyama N, Kinjo M, Jinno S, de Luise C, Morishima T, Higuchi T, Katayama K, Chen H, Nonnenmacher E, Hase R, Suzuki D, Tanaka Y, Setoguchi S. Validation of claims-based algorithms for rheumatoid arthritis in Japan: Results from the VALIDATE-J study. Int J Rheum Dis 2024; 27:e15001. [PMID: 38160436 DOI: 10.1111/1756-185x.15001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2022] [Revised: 11/01/2023] [Accepted: 11/26/2023] [Indexed: 01/03/2024]
Abstract
AIM Validity of Algorithms in Large Databases: Infectious Diseases, Rheumatoid Arthritis, and Tumor Evaluation in Japan (VALIDATE-J) study examined algorithms for identifying rheumatoid arthritis (RA) in Japanese claims data. METHODS VALIDATE-J was a multicenter, cross-sectional retrospective study. Disease-identifying algorithms were used to detect RA diagnosed between January 2012 and December 2016 using claims data from two Japanese hospitals. An RA diagnosis was confirmed using one of four gold standard definitions. Positive predictive values (PPVs) were calculated for prevalent (regardless of baseline RA-free period) and incident (preceded by a 12-month RA-free period) cases. RESULTS Of patients identified using claims-based algorithms, a random sample of 389 prevalent and 134 incident cases of RA were included. Cases identified by an RA diagnosis, no diagnosis of psoriasis, and treatment with any disease-modifying antirheumatic drugs (DMARDs) resulted in the highest PPVs versus other claims-based treatment categories (29.0%-88.3% [prevalent] and 41.0%-78.2% [incident]); cases identified by an RA diagnosis, no diagnosis of psoriasis, and glucocorticoid-only treatment had the lowest PPVs. Across claims-based algorithms, PPVs were highest when a physician diagnosis or decision by adjudicators (confirmed and probable cases) was used as the gold standard and were lowest when American College of Rheumatology/European Alliance of Associations for Rheumatology 2010 criteria were applied. PPVs of claims-based algorithms for RA in patients aged ≥66 years were slightly higher versus a USA Medicare population (maximum PPVs of 95.0% and 88.9%, respectively). CONCLUSION VALIDATE-J demonstrated high PPVs for most claims-based algorithms for diagnosis of prevalent and incident RA using Japanese claims data. These findings will help inform appropriate RA definitions for future claims database research in Japan.
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Affiliation(s)
- Naonobu Sugiyama
- Inflammation and Immunology, Medical Affairs, Pfizer Japan, Tokyo, Japan
| | - Mitsuyo Kinjo
- Division of Rheumatology, Okinawa Chubu Hospital, Uruma, Okinawa, Japan
| | - Sadao Jinno
- Section of Rheumatology, Kobe University School of Medicine, Kobe, Hyogo, Japan
| | - Cynthia de Luise
- Safety Surveillance Research, Pfizer Inc, New York, New York, USA
| | | | - Takakazu Higuchi
- Blood Transfusion Department, Dokkyo Medical University Saitama Medical Center, Koshigaya, Saitama, Japan
| | - Kayoko Katayama
- Cancer Prevention and Cancer Control Division, Kanagawa Cancer Center Research Institute, Yokohama, Kanagawa, Japan
| | - Haoqian Chen
- Center for Pharmacoepidemiology and Treatment Science, Rutgers Institute for Health, Health Care Policy and Aging Research, New Brunswick, New Jersey, USA
| | - Edward Nonnenmacher
- Center for Pharmacoepidemiology and Treatment Science, Rutgers Institute for Health, Health Care Policy and Aging Research, New Brunswick, New Jersey, USA
| | - Ryota Hase
- Department of Infectious Diseases, Kameda Medical Center, Kamogawa, Chiba, Japan
- Department of Infectious Diseases, Japanese Red Cross Narita Hospital, Narita, Chiba, Japan
| | - Daisuke Suzuki
- Department of Infectious Diseases, Fujita Health University, Toyoake, Aichi, Japan
| | - Yoshiya Tanaka
- First Department of Internal Medicine, University of Occupational and Environmental Health Japan, Kitakyushu, Fukuoka, Japan
| | - Soko Setoguchi
- Department of Infectious Diseases, Japanese Red Cross Narita Hospital, Narita, Chiba, Japan
- Department of Medicine, Rutgers Robert Wood Johnson Medical School and Institute for Health, Rutgers Biomedical and Health Science, New Brunswick, New Jersey, USA
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Laurent T, Lambrelli D, Wakabayashi R, Hirano T, Kuwatsuru R. Strategies to Address Current Challenges in Real-World Evidence Generation in Japan. Drugs Real World Outcomes 2023:10.1007/s40801-023-00371-5. [PMID: 37178273 PMCID: PMC10182751 DOI: 10.1007/s40801-023-00371-5] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 04/19/2023] [Indexed: 05/15/2023] Open
Abstract
The generation of real-world evidence (RWE), which describes patient characteristics or treatment patterns using real-world data (RWD), is rapidly growing more popular as a tool for decision-making in Japan. The aim of this review was to summarize challenges to RWE generation in Japan related to pharmacoepidemiology, and to propose strategies to address some of these challenges. We first focused on data-related issues, including the lack of transparency of RWD sources, linkage across different care settings, definitions of clinical outcomes, and the overall assessment framework of RWD when used for research purposes. Next the study reviewed methodology-related challenges. As lack of design transparency impairs study reproducibility, transparent reporting of study design is critical for stakeholders. For this review, we considered different sources of biases and time-varying confounding, along with potential study design and methodological solutions. Additionally, the implementation of robust assessment of definition uncertainty, misclassification, and unmeasured confounders would enhance RWE credibility in light of RWD source-related limitations, and is being strongly considered by task forces in Japan. Overall, the development of guidance for best practices on data source selection, design transparency, and analytical methods to address different sources of biases and robustness in the process of RWE generation will enhance credibility for stakeholders and local decision-makers.
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Affiliation(s)
- Thomas Laurent
- Real-World Evidence and Data Assessment (READS), Graduate School of Medicine, Juntendo University, Hongo 2-1-1, Bunkyo-ku, Tokyo, 113-8421, Japan
- Clinical Study Support Inc., 2F Daiei Bldg., 1-11-20 Nishiki Naka-ku, Nagoya, 460-0003, Japan
| | - Dimitra Lambrelli
- Real-World Evidence and Data Assessment (READS), Graduate School of Medicine, Juntendo University, Hongo 2-1-1, Bunkyo-ku, Tokyo, 113-8421, Japan
- Real-World Evidence, Evidera, The Ark, 2nd Floor, 201 Talgarth Road, London, W6 8BJ, UK
| | - Ryozo Wakabayashi
- Real-World Evidence and Data Assessment (READS), Graduate School of Medicine, Juntendo University, Hongo 2-1-1, Bunkyo-ku, Tokyo, 113-8421, Japan
- Clinical Study Support Inc., 2F Daiei Bldg., 1-11-20 Nishiki Naka-ku, Nagoya, 460-0003, Japan
| | - Takahiro Hirano
- Real-World Evidence and Data Assessment (READS), Graduate School of Medicine, Juntendo University, Hongo 2-1-1, Bunkyo-ku, Tokyo, 113-8421, Japan.
- Clinical Study Support Inc., 2F Daiei Bldg., 1-11-20 Nishiki Naka-ku, Nagoya, 460-0003, Japan.
| | - Ryohei Kuwatsuru
- Real-World Evidence and Data Assessment (READS), Graduate School of Medicine, Juntendo University, Hongo 2-1-1, Bunkyo-ku, Tokyo, 113-8421, Japan
- Department of Radiology, School of Medicine, Juntendo University, Hongo 2-1-1, Bunkyo-ku, Tokyo, 113-8421, Japan
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Hefner J, Tsubota T. The Current Status of Secondary Use of Claims, Electronic Medical Records, and Electronic Health Records in Epidemiology in Japan: Narrative Literature Review. JMIR Med Inform 2023; 11:e39876. [PMID: 36787161 PMCID: PMC9975931 DOI: 10.2196/39876] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2022] [Revised: 11/01/2022] [Accepted: 01/05/2023] [Indexed: 01/07/2023] Open
Abstract
BACKGROUND Real-world data, such as claims, electronic medical records (EMRs), and electronic health records (EHRs), are increasingly being used in clinical epidemiology. Understanding the current status of existing approaches can help in designing high-quality epidemiological studies. OBJECTIVE We conducted a comprehensive narrative literature review to clarify the secondary use of claims, EMRs, and EHRs in clinical epidemiology in Japan. METHODS We searched peer-reviewed publications in PubMed from January 1, 2006, to June 30, 2021 (the date of search), which met the following 3 inclusion criteria: involvement of claims, EMRs, EHRs, or medical receipt data; mention of Japan; and published from January 1, 2006, to June 30, 2021. Eligible articles that met any of the following 6 exclusion criteria were filtered: review articles; non-disease-related articles; articles in which the Japanese population is not the sample; articles without claims, EMRs, or EHRs; full text not available; and articles without statistical analysis. Investigations of the titles, abstracts, and full texts of eligible articles were conducted automatically or manually, from which 7 categories of key information were collected. The information included organization, study design, real-world data type, database, disease, outcome, and statistical method. RESULTS A total of 620 eligible articles were identified for this narrative literature review. The results of the 7 categories suggested that most of the studies were conducted by academic institutes (n=429); the cohort study was the primary design that longitudinally measured outcomes of proper patients (n=533); 594 studies used claims data; the use of databases was concentrated in well-known commercial and public databases; infections (n=105), cardiovascular diseases (n=100), neoplasms (n=78), and nutritional and metabolic diseases (n=75) were the most studied diseases; most studies have focused on measuring treatment patterns (n=218), physiological or clinical characteristics (n=184), and mortality (n=137); and multivariate models were commonly used (n=414). Most (375/414, 90.6%) of these multivariate modeling studies were performed for confounder adjustment. Logistic regression was the first choice for assessing many of the outcomes, with the exception of hospitalization or hospital stay and resource use or costs, for both of which linear regression was commonly used. CONCLUSIONS This literature review provides a good understanding of the current status and trends in the use of claims, EMRs, and EHRs data in clinical epidemiology in Japan. The results demonstrated appropriate statistical methods regarding different outcomes, Japan-specific trends of disease areas, and the lack of use of artificial intelligence techniques in existing studies. In the future, a more precise comparison of relevant domestic research with worldwide research will be conducted to clarify the Japan-specific status and challenges.
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Affiliation(s)
- Jennifer Hefner
- Audit & Assurance Deloitte Analytics R&DDeloitte Touche Tohmatsu LLCTokyoJapan
| | - Tadashi Tsubota
- Audit & Assurance Deloitte Analytics R&D, Deloitte Touche Tohmatsu LLC, Tokyo, Japan
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Ding B, Zaha R, Makita N, Graham S, Lambrelli D, Huse S, Müllerová H, Nordon C, Muro S. History of Respiratory Events Prior to a First COPD Diagnosis and Future Exacerbations: A Longitudinal Observational Cohort Database Study in Japan. Int J Chron Obstruct Pulmon Dis 2023; 18:247-258. [PMID: 36915637 PMCID: PMC10007995 DOI: 10.2147/copd.s389297] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/09/2022] [Accepted: 02/24/2023] [Indexed: 03/09/2023] Open
Abstract
Background Little is known about the association between respiratory events prior to diagnosis of chronic obstructive pulmonary disease (COPD) and future clinical outcomes in Japan. We investigated the association between pre-COPD diagnosis respiratory events and the incidence of exacerbations in a cohort of newly diagnosed COPD patients in Japan. Patients and Methods Data were retrieved from the JMDC claims database. Patients ≥40 years old with a first COPD diagnosis (≥1 hospitalization or ≥2 outpatient claims for COPD) between 2010 and 2016 were included. The incidence rate (IR) of exacerbations in patients with or without any respiratory event (including lower respiratory tract infection and respiratory failure) in the year preceding diagnosis was compared. A negative binomial model explored the association between pre-diagnosis respiratory event and IR ratio (IRR) of exacerbations. Results A total of 20,212 patients newly diagnosed with COPD were identified: 61% male, mean age 55 years (SD 9); of these, 955 (4.7%) had experienced ≥1 respiratory event in the year preceding diagnosis. Median duration of follow-up was 3.3 years during which the IR of exacerbations was 0.31 per patient-year (95% confidence interval [CI] 0.29-0.33) in patients with respiratory event, and 0.11 (95% CI 0.10-0.13) in patients without. The IR for severe exacerbation was nearly 10 times greater in patients with respiratory event versus without. Experiencing respiratory event pre-diagnosis was independently associated with an increased IRR of future moderate-to-severe exacerbation (adjusted IRR, 2.7; 95% CI 2.3-3.1). Conclusion Patients experiencing respiratory events in the year preceding COPD diagnosis should be considered at-risk of worse clinical COPD outcomes.
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Affiliation(s)
- Bo Ding
- BioPharmaceuticals Medical, AstraZeneca, Gothenburg, Sweden
| | - Rebecca Zaha
- Formerly of Data Analytics, Evidera, Bethesda, MD, USA
| | - Naoyuki Makita
- Medical Department, AstraZeneca K.K, Kita-ku, Osaka, Japan
| | - Sophie Graham
- Data Analytics, Evidera, London, UK.,Epidemiology & Population Health, London School of Hygiene and Tropical Medicine, London, UK
| | | | | | | | | | - Shigeo Muro
- Department of Respiratory Medicine, Nara Medical University, Nara, Japan
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Laurent T, Simeone J, Kuwatsuru R, Hirano T, Graham S, Wakabayashi R, Phillips R, Isomura T. Context and Considerations for Use of Two Japanese Real-World Databases in Japan: Medical Data Vision and Japanese Medical Data Center. Drugs Real World Outcomes 2022; 9:175-187. [PMID: 35304702 PMCID: PMC8932467 DOI: 10.1007/s40801-022-00296-5] [Citation(s) in RCA: 39] [Impact Index Per Article: 19.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 02/22/2022] [Indexed: 12/16/2022] Open
Abstract
In Japan, an increasing interest in real-world evidence for hypothesis generation and decision-making has emerged in order to overcome limitations and restrictions of clinical trials. We sought to characterize the context and concrete considerations of when to use Medical Data Vision (MDV) and JMDC databases, the main Japanese real-world data (RWD) sources accessible by pharmaceutical companies. Use cases for these databases, and related issues and considerations, were identified and summarized based on a literature search and experience-based knowledge. Studies conducted using MDV or JMDC were mostly descriptive in nature, or explored potential risk factors by evaluating associations with a target outcome. Considerations such as variable ascertainment at different time points, including issues relating to treatment identification and missing data, were highlighted for these two databases. Although several issues were commonly shared (e.g., only month of event occurrence reported), some database-specific issues were also identified and need to be accounted for. In conclusion, MDV and JMDC present limitations that are relatively typical of RWD sources, though some of them are unique to Japan, such as the identification of event occurrence and the inability to track patients visiting different healthcare settings. Addressing study design and careful result interpretation with respect to the specificities and uniqueness of the Japanese healthcare system is of particular importance. This aspect is especially relevant with respect to the growing global interest of conducting RWD studies in Japan.
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Affiliation(s)
- Thomas Laurent
- Clinical Study Support Inc., 2F Daiei Bldg., 1-11-20 Nishiki, Naka-ku, Nagoya, 460-0003, Japan.
| | - Jason Simeone
- Fifth Floor, Real-World Evidence, Evidera, 500 Totten Pond Road, Waltham, MA, 02451, USA
| | - Ryohei Kuwatsuru
- Department of Radiology, School of Medicine, Juntendo University, Hongo 2-1-1, Bunkyo-ku, Tokyo, 113-8421, Japan.,Real-World Evidence And Data Assessment (READS), Graduate School of Medicine, Juntendo University, Hongo 2-1-1, Bunkyo-ku, Tokyo, 113-8421, Japan
| | - Takahiro Hirano
- Clinical Study Support Inc., 2F Daiei Bldg., 1-11-20 Nishiki, Naka-ku, Nagoya, 460-0003, Japan.,Real-World Evidence And Data Assessment (READS), Graduate School of Medicine, Juntendo University, Hongo 2-1-1, Bunkyo-ku, Tokyo, 113-8421, Japan
| | - Sophie Graham
- Real-World Evidence, Evidera, The Ark, 2nd Floor, 201 Talgarth Road, London, W6 8BJ, UK
| | - Ryozo Wakabayashi
- Clinical Study Support Inc., 2F Daiei Bldg., 1-11-20 Nishiki, Naka-ku, Nagoya, 460-0003, Japan.,Real-World Evidence And Data Assessment (READS), Graduate School of Medicine, Juntendo University, Hongo 2-1-1, Bunkyo-ku, Tokyo, 113-8421, Japan
| | - Robert Phillips
- Clinical Study Support Inc., 2F Daiei Bldg., 1-11-20 Nishiki, Naka-ku, Nagoya, 460-0003, Japan
| | - Tatsuya Isomura
- Clinical Study Support Inc., 2F Daiei Bldg., 1-11-20 Nishiki, Naka-ku, Nagoya, 460-0003, Japan.,Real-World Evidence And Data Assessment (READS), Graduate School of Medicine, Juntendo University, Hongo 2-1-1, Bunkyo-ku, Tokyo, 113-8421, Japan
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