Reporting to Improve Reproducibility and Facilitate Validity Assessment for Healthcare Database Studies V1.0

Wang, Shirley; Schneeweiß, Sebastian; Berger, Marc L.; Brown, Jeffrey S.; Vries, Frank de; Douglas, Ian; Gagne, Joshua J.; Gini, Rosa; Klungel, Olaf H.; Mullins, C. Daniel; Nguyen, Michael; Rassen, Jeremy A.; Smeeth, Liam; Sturkenboom, Miriam

doi:10.1016/j.jval.2017.08.3018

Cited by 77 publications

(34 citation statements)

References 45 publications

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“…Therefore, before pooling data through meta‐analysis (MA), validity remains a crucial aspect of study design and conception 25, 26, 27, 28. In particular, validation of the diagnoses is critical in the diabetes area, especially when in multinational epidemiological studies,29 because the lack of clinical data may compromise optimal algorithms for patients' and outcomes' identification.…”

Section: A Critical Appraisal Of Methodological Issuesmentioning

confidence: 99%

Observational research on sodium glucose co‐transporter‐2 inhibitors: A real breakthrough?

Raschi

Poluzzi

Fadini

et al. 2018

Diabetes Obesity Metabolism

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Sodium glucose co‐transporter‐2 inhibitors have attracted the interest of the scientific community following the results from dedicated cardiovascular outcome trials, which demonstrated remarkable reduction in all‐cause mortality and other cardiovascular (CV) endpoints with empagliflozin and canagliflozin. These impressive results raised further expectations on real world data from large observational cohort studies. They were designed to address the possible existence of a class effect, and the uncertainty on whether this benefit can be extended from secondary to primary CV prevention of patients with type 2 diabetes. In this review, we collated data from existing observational studies (including the celebrated CVD‐REAL cohorts) and critically appraised results and methodological issues with the aim of providing clinical insight, including unsettled aspects, and proposing a research agenda for future investigations.

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Section: A Critical Appraisal Of Methodological Issuesmentioning

confidence: 99%

Observational research on sodium glucose co‐transporter‐2 inhibitors: A real breakthrough?

Raschi

Poluzzi

Fadini

et al. 2018

Diabetes Obesity Metabolism

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“…In addition, as a distributed research network, IMeCCHI-DATANETWORK makes it possible to share research questions proposed by any of the partners, whereas the OECD network only allows its coordinating agency and expert groups to test new indicators at the international level. Finally, the IMeCCHI-DATANETWORK offers more transparency and replicability in research methods and data processing [21]. Indeed, metric specifications, code lists, classification use over time, linkage methods, risk-adjustment factors, statistical models applied, and the procedure itself are accessible to the research community and the public whereas OECD technical specifications are only accessible to data correspondents or expert groups [22].…”

Section: Comparison With Other Initiatives Of International Comparisomentioning

confidence: 99%

Empowering knowledge generation through international data network: the IMeCCHI-DATANETWORK

Varela

Pogam

Metcalfe³

et al. 2020

IJPDS

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IntroductionThe International Methodology Consortium for Coded Health Information (IMeCCHI) is a collaboration of health services researchers who promote methodological advances in coded health information. The IMeCCHI-DATANETWORK initiative focuses on developing a multi-purpose distributed data infrastructure and common data model (CDM) to enable cross-border data sharing and international comparisons. MethodsIMeCCHI consortium partners from six different countries – Canada, Denmark, Italy, New Zealand, South Korea, and Switzerland – used a questionnaire to describe their original databases which differ in size, structure, content and coding systems. To standardize these data, they agreed on a CDM and mapped their population-based databases to meet the CDM specifications. At the end of this process, local data had a more homogenous content and structure, which made them syntactically and semantically interoperable. Data transformation was performed using a common data management software called TheMatrix. ResultsThe CDM encompasses four tables of structured data (person characteristics, hospitalizations, outpatient prescription medication and death), linked at the individual level through a person identifier. It can be used to answer research questions across countries using locally converted databases, which facilitates study replication in a distributed fashion. As a proof-of-concept study, an initial research question was addressed using an agreed protocol. Local data were transformed in csv files in the CDM structure and TheMatrix was tested to transform the standardized data from each partner into local analytical datasets. This allowed results to be shared between countries, whilst maintaining local control over each region’s data. ConclusionThe IMeCCHI-DATANETWORK, a model of a distributed data network, demonstrated that it is feasible to analyze international data using standardized analytical methods that enable independent analyses by regions, without relocating datasets thereby protecting local confidentiality obligations. The distributed data infrastructure can produce results that can be generalized to several countries, while facilitating cross-border data sharing and international comparisons.

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“…The cases for this data were extracted from the NDB using diagnosis codes and procedure codes specific to fractures. The codes and algorithms used to extract data from the NDB are shown for transparency and reproducibility of the data [2]. The data contains all health insurance claims submitted in the area and is representative of the incidence of the population.…”

Section: Datamentioning

confidence: 99%

Data regarding fracture incidence according to fracture site, month, and age group obtained from the large public health insurance claim database in Japan

et al. 2019

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The National Database of Health Insurance Claims and Specific Health Checkups of Japan includes all health insurance claims submitted in Japan and is considered representative of almost all health claims in Japan. Data regarding fracture incidence, based on the documented diagnoses in the claims and relevant procedure codes, were extracted from the National Database of Health Insurance Claims and Specific Health Checkups of Japan. This data paper includes fracture incidence according to fracture site, month, and age group for the population in Kanto area (Tokyo and surrounding areas), which consists of approximately 42 million people. These data provide supplementary material to be interpreted for the article “Variation in Fracture Risk by Season and Weather: A Comprehensive Analysis across Age and Fracture Site Using a National Database of Health Insurance Claims in Japan” Hayashi et al., and serve as one of the largest epidemiological datasets regarding seasonal differences in fracture incidence according to fracture site and age group.

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Reporting to Improve Reproducibility and Facilitate Validity Assessment for Healthcare Database Studies V1.0

Cited by 77 publications

References 45 publications

Observational research on sodium glucose co‐transporter‐2 inhibitors: A real breakthrough?

Observational research on sodium glucose co‐transporter‐2 inhibitors: A real breakthrough?

Empowering knowledge generation through international data network: the IMeCCHI-DATANETWORK

Data regarding fracture incidence according to fracture site, month, and age group obtained from the large public health insurance claim database in Japan

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