Trial reportBundesgesundheitsblatt, Gesundheitsforschung, Gesundheitsschutz2023
[Utilization of routine data from different statutory health insurance funds: a practical report of experience from the TIM-HF2 study about data acquisition, validation, and processing].
Trial report in Bundesgesundheitsblatt, Gesundheitsforschung, Gesundheitsschutz, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
1 citing paper in PubMed, 3 citations in OpenAlex.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe randomized controlled clinical trial "TIM-HF2" investigated the benefit of telemonitoring in chronic heart failure. The health economic evaluation of this intervention was based on routine data from statutory health insurance (SHI) funds. Since participants were recruited independently of their SHI affiliation, there was a large number of potential data-providing SHI funds. This resulted in both organizational and methodological challenges, from participation of the data providers to data preparation.
methodThe procedures are described from study planning and data acquisition to data review and processing in the TIM-HF2 trial. Based on the identification of potential problems for data completeness and data quality, possible solutions have been derived.
resultsIn total, participants were insured with 49 different SHI funds, which provided routine data for a total of 1450 participants. About half of all initial data deliveries were correct. The most common problems in data preparation occurred in the machine readability of the data. Success factors for a high level of data completeness were close communication with the SHI funds and a high level of time and personnel commitment to intensive data checking and preparation. DISCUSSION: Based on the experience of the TIM-HF2 trial, a high heterogeneity has been detected in data management and transmission of routine data. Universally applicable data descriptions are desired to improve data access, quality, and usability for research purposes.
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Registered trials
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