ArticleEuropean journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology2024
Economic effects of next-generation sequencing diagnostics in unspecific sepsis patients - a budget impact analysis from the healthcare providers' perspective in Germany.
Article in European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
purposeNext-generation sequencing (NGS) tools have clinical advantages over blood culture but are more expensive. This study assesses the budget impact and break-even point of NGS testing costs from a healthcare provider's perspective in Germany.
methodsThe budget impact was calculated based on aggregated data of German post-operative surgery cases. Simulated cost savings were calculated based on a simulated reduction in hospital length of stay (LOS) of four or eight days with a positivity rate of 71% and compared to the costs of one (scenario A) or two tests (scenario B) per case. Furthermore, the break-even point of the cost of two tests compared to saved costs through shortened LOS was conducted.
resultsFor 9,450 cases, an average budget impact for scenario A and scenario B of €1,290.41 [95% CI €1,119.64 - €1,461.19] and - €208.59 [95% CI - €379.36 - - €37.81] was identified for gastrointestinal and kidney surgery cases, and €1,355.58 [95% CI €1,049.62 - €1,661.55] and €18.72 [95% CI - €324.69 - €287.24] for vascular artery surgery cases, respectively. The break-even analysis showed that using two tests per case could achieve a minimum positive contribution margin with an average of 1.9 tests per case across the study population.
conclusionThe results revealed a positive budget impact for one NGS test and a slightly negative budget impact for two NGS tests per case. Findings suggest that largest cost savings are generated for more severe cases and are highly dependent on the patient population.
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