Evidence map›Paper›PMID 39538236›Full record

ArticleBMC infectious diseases2024

The economic burden of nosocomial infections for hospitals: evidence from Germany.

Lulseged M Asegu, Anne Kitschen, Meike M Neuwirth, Dirk Sauerland

Abstract read
In one paragraph

Article in BMC infectious diseases, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Hospital Cost Components and Predictors inTropical medicine and infectious disease · 2026
    Article
  4. Article
  5. Article
  6. Review
  7. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Lulseged M AseguWitten/Herdecke University, Department of Philosophy, Politics and Economics, Chair for Institutional Economics and Health Policy, Witten, Germany. lulseged.asegu@uni-wh.de.ORCID http://orcid.org/0009-0005-9308-4550
Anne KitschenWitten/Herdecke University, Department of Philosophy, Politics and Economics, Chair for Institutional Economics and Health Policy, Witten, Germany.ORCID http://orcid.org/0000-0001-8791-8444
Meike M NeuwirthWitten/Herdecke University, Division of Hygiene and Environmental Medicine, Cologne, Germany.ORCID https://orcid.org/0000-0002-7907-5819
Dirk SauerlandWitten/Herdecke University, Department of Philosophy, Politics and Economics, Chair for Institutional Economics and Health Policy, Witten, Germany.ORCID http://orcid.org/0000-0001-7651-2799

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundNosocomial infections (NI) significantly worsen patient outcomes, resulting in higher mortality rates and reduced health-related quality of life. Furthermore, they pose substantial economic strain on healthcare systems and hospitals. For instance, patients with nosocomial infections (NIs) experience prolonged hospital stays compared to those without NIs. These extended stays result in occupied bed-days, leading to opportunity costs for hospitals. This study aimed to estimate the opportunity costs for a German hospital based on hospital stays, daily revenue, and occupancy rates (OCR).

methodsWe analysed cost data obtained from routine records maintained by the accounting department of a German hospital's surgical and orthopedic units from 2018 to 2019 for the "HygArzt" research project. To ensure balance, we employed genetic matching. We estimated the differences in length of stay (LOS) and daily revenue between patients with and without nosocomial infections (NI) using linear regression. Finally, we calculated the opportunity cost borne by the hospital by treating NI patients instead of non-NI patients. All costs are reported in 2018 Euros.

resultsThe final sample included 81 patients with NI matched with 207 patients without NI. The majority of the NI patients (77.0%) had surgical site infection (SSI). Compared to non-NI patients, we observed that NI patients had a longer LOS (10 days, p < 0.001) and lower daily revenue (€400, p < 0.001). We also found that comorbidities and the frequency of operations had significant impact on the LOS. Using a baseline 30 to 50% preventable NIs, successful prevention of a single NI could potentially reduce the length of hospital stay by 3 to 5 days and increase hospital revenue by approximately €120 to €200 per day per prevented NI. Consequently, the hospital saves 3 to 5 more bed-days to backfill and generate more revenue, and/or make more efficient resource allocation by changing bed-capacity and staffing. The resulting opportunity costs can potentially exceed €1,000 per preventable case.

conclusionNIs pose a substantial economic burden for hospitals. From a health economics' perspective, there are strong economic incentives for hospitals to implement infection control interventions, such as the involvement of a prevention link physician/nurse.

Indexed as

Cross InfectionLength of StayAdultAgedAged, 80 and overCost of IllnessFemaleGermanyHospital CostsHospitalsHumansMaleMiddle AgedSurgical Wound InfectionEconomic BurdenGenetic MatchingHospitalsNosocomial InfectionOpportunity Costs

Identifiers

PMID39538236
PMCPMC11562106

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.