ArticleInfection2019
Infectious disease services: a survey from four university hospitals in Germany.
Article in Infection, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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.
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
6 citing papers in PubMed, 13 citations in OpenAlex.
- Article
- UniteID- a proposal for training pediatric ID specialists supported by an adult ID program.Infection · 2025Article
- Complexity of patients with or without infectious disease consultation in tertiary-care hospitals in Germany.Infection · 2024Article
- [Infectious Diseases - a new specialty for postgraduate training in Germany].Deutsche medizinische Wochenschrift (1946) · 2024Article
- Definition of patient complexity in adults: A narrative review.Journal of multimorbidity and comorbidity · 2022Review
- [Organisational and staff requirements for antimicrobial stewardship activities in hospitals : Position paper of the Commission on Anti-Infectives, Resistance and Therapy (Commission ART) at the Robert Koch Institute, with advice from professional associations].Bundesgesundheitsblatt, Gesundheitsforschung, Gesundheitsschutz · 2020Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors at 5 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeInvolvement of infectious disease (ID) specialists in the care of hospitalized patients with infections through consultation services improves the quality of care and the outcome of patients. This survey aimed to describe activities and utilization of ID consultations at four German tertiary care hospitals.
methodsA 1-month (March 2016) retrospective cross-sectional study at four university hospitals (Freiburg, Jena, Cologne and Regensburg) was performed. Only ID consultations with written documentation and bedside patient evaluation were included. Consultations were analyzed with regard to requesting departments, infections, case severity, and diagnostic and therapeutic recommendations.
resultsIn the study period, 638 ID consultations were performed in 479 patients-corresponding to 3-4 consultations per 100 inpatient cases. Patients were characterized by a high disease complexity-the mean case mix index in patients with consultation was 10.1 compared to 1.6 for all patients. ID consultations were requested by many different specialties, with approximately half of the requests coming from surgical disciplines. ID consultations resulted in revised diagnoses in 34% of the cases, provided recommendations for additional diagnostic procedures in 66%, and for modifications of antimicrobial regimens in 70% of the cases.
conclusionsInfectious disease consultations were requested for patients with severe and complicated diseases and resulted in recommendations that highly impacted the diagnostic work-up and therapeutic management of patients. The results of this survey may help to estimate requirements for establishment of such services in Germany.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.