Status and perspectives of claims data analyses in Germany—A systematic review

Kreis, Kristine; Neubauer, Stefan; Klora, Mike; Lange, Ansgar; Zeidler, Jan

doi:10.1016/j.healthpol.2016.01.007

Cited by 74 publications

(63 citation statements)

References 56 publications

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“…Furthermore, recently, this research field developed a sophisticated methodological framework for comprehensively analyzing and interpreting the data in the context of various research questions. The significant increase in the number of claims data studies (and frequency of policy-relevant research) confirms this trend [2,3] (see Fig. 1).…”

supporting

confidence: 61%

“…Over the last 15 years, almost one-third of the published claims data studies have focused on health economics [2]. Furthermore, due to its advantages, researchers have previously used this data source for health services research on treatment patterns, under-and overtreatment of specific diseases, epidemiology studies, and as an input factor for modeling studies [4].…”

mentioning

confidence: 99%

“…1 Number of publications dealing with German claims data on SHIs over time. Source: based on Kreis et al [2] transmitted from the SHI funds for the Morbi-RSA do not include specific demographic information, such as insurance start and end (entry/leave) date, type of insurance, and date of death. Some of these are strongly aggregated data, so that some variables contain reduced information (e.g., only for a month or year).…”

mentioning

confidence: 99%

“…However, the DIMDI data pool is undergoing continuous structural development, and its enhancement can further extend its importance in claims data analyses [2].…”

mentioning

confidence: 99%

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Access, use, and challenges of claims data analyses in Germany

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supporting

confidence: 61%

mentioning

confidence: 99%

mentioning

confidence: 99%

“…However, the DIMDI data pool is undergoing continuous structural development, and its enhancement can further extend its importance in claims data analyses [2].…”

mentioning

confidence: 99%

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Access, use, and challenges of claims data analyses in Germany

et al. 2016

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“…Additionally, it needs to be noted that a bottom-up approach could have potentially provided more accurate cost estimates than the top-down approach used in our analysis. However, claims data are a comprehensive and reliable basis that have become an important data source for health economic evaluations [41,42]. Furthermore, we only analyzed filled prescriptions in our database.…”

Section: Limitationsmentioning

confidence: 99%

Real-World Treatment of Patients with Multiple Sclerosis per MS Subtype and Associated Healthcare Resource Use: An Analysis Based on 13,333 Patients in Germany

Müller

Heidler²,

Fuchs³

et al. 2019

Neurol Ther

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Identification of complications requiring interventions after gastrointestinal cancer surgery from real‐world data: An external validation study

Kinoshita

Nishigori

Kunisawa

et al. 2023

Annals of Gastroent Surgery

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BackgroundRecently, real‐world data have been recognized to have a significant role for research and quality improvement worldwide. The decision on the existence or nonexistence of postoperative complications is complex in clinical practice. This multicenter validation study aimed to evaluate the accuracy of identification of patients who underwent gastrointestinal (GI) cancer surgery and extraction of postoperative complications from Japanese administrative claims data.MethodsWe compared data extracted from both the Diagnosis Procedure Combination (DPC) and chart review of patients who underwent GI cancer surgery from April 2016 to March 2019. Using data of 658 patients at Kyoto University Hospital, we developed algorithms for the extraction of patients and postoperative complications requiring interventions, which included an invasive procedure, reoperation, mechanical ventilation, hemodialysis, intensive care unit management, and in‐hospital mortality. The accuracy of the algorithms was externally validated using the data of 1708 patients at two other hospitals.ResultsIn the overall validation set, 1694 of 1708 eligible patients were correctly extracted by DPC (sensitivity 0.992 and positive predictive value 0.992). All postoperative complications requiring interventions had a sensitivity of >0.798 and a specificity of almost 1.000. The overall sensitivity and specificity of Clavien–Dindo ≥grade IIIb complications was 1.000 and 0.995, respectively.ConclusionPatients undergoing GI cancer surgery and postoperative complications requiring interventions can be accurately identified using the real‐world data. This multicenter external validation study may contribute to future research on hospital quality improvement or to a large‐scale comparison study among nationwide hospitals using real‐world data.

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Status and perspectives of claims data analyses in Germany—A systematic review

Cited by 74 publications

References 56 publications

Access, use, and challenges of claims data analyses in Germany

Access, use, and challenges of claims data analyses in Germany

Real-World Treatment of Patients with Multiple Sclerosis per MS Subtype and Associated Healthcare Resource Use: An Analysis Based on 13,333 Patients in Germany

Identification of complications requiring interventions after gastrointestinal cancer surgery from real‐world data: An external validation study

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