Evidence map›Paper›PMID 24875674›Full record

ArticlePloS one2014

Results from the first 12 months of the national surveillance of healthcare associated outbreaks in Germany, 2011/2012.

Sebastian Haller, Tim Eckmanns, Justus Benzler, Kristin Tolksdorf, Hermann Claus, Andreas Gilsdorf, Muna Abu Sin

Open access · goldAbstract readHistorical Article
In one paragraph

Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
2.0field-weighted citation impact, top 14% of its field
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

5 citing papers in PubMed, 1 synthesis or guideline pooled it, 27 citations in OpenAlex.

  1. Pooled it
  2. Observational
  3. Article
  4. Healthcare-associated foodborne outbreaks in high-income countries: a literature review and surveillance study, 16 OECD countries, 2001 to 2019.Euro surveillance : bulletin Europeen sur les maladies transmissibles = European communicable disease bulletin · 2021
    Review
  5. 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

7 authors at 1 institution in 2 countries.

Sebastian HallerDepartment for Infectious Disease Epidemiology, Robert Koch Institute, Berlin, Germany; Postgraduate Training for Applied Epidemiology, Berlin, Germany, affiliated to the European Programme for Intervention Epidemiology Training, European Centre for Disease Prevention and Control, Stockholm, Sweden.
Tim EckmannsDepartment for Infectious Disease Epidemiology, Robert Koch Institute, Berlin, Germany.
Justus BenzlerDepartment for Infectious Disease Epidemiology, Robert Koch Institute, Berlin, Germany.
Kristin TolksdorfDepartment for Infectious Disease Epidemiology, Robert Koch Institute, Berlin, Germany.
Hermann ClausDepartment for Infectious Disease Epidemiology, Robert Koch Institute, Berlin, Germany.
Andreas GilsdorfDepartment for Infectious Disease Epidemiology, Robert Koch Institute, Berlin, Germany.
Muna Abu SinDepartment for Infectious Disease Epidemiology, Robert Koch Institute, Berlin, Germany.
Robert Koch Institute · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn August 2011, the German Protection against Infection Act was amended, mandating the reporting of healthcare associated infection (HAI) outbreak notifications by all healthcare workers in Germany via local public health authorities and federal states to the Robert Koch Institute (RKI).

objectiveTo describe the reported HAI-outbreaks and the surveillance system's structure and capabilities.

methodsInformation on each outbreak was collected using standard paper forms and notified to RKI. Notifications were screened daily and regularly analysed.

resultsBetween November 2011 and November 2012, 1,326 paper forms notified 578 HAI-outbreaks, between 7 and 116 outbreaks per month. The main causative agent was norovirus (n = 414/578; 72%). Among the 108 outbreaks caused by bacteria, the most frequent pathogens were Clostridium difficile (25%) Klebsiella spp. (19%) and Staphylococcus spp. (19%). Multidrug-resistant bacteria were responsible for 54/108 (50%) bacterial outbreaks. Hospitals were affected most frequently (485/578; 84%). Hospital outbreaks due to bacteria were mostly reported from intensive care units (ICUs) (45%), followed by internal medicine wards (16%).

conclusionThe mandatory HAI-outbreak surveillance system describes common outbreaks. Pathogens with a particular high potential to cause large or severe outbreaks may be identified, enabling us to further focus research and preventive measures. Increasing the sensitivity and reliability of the data collection further will facilitate identification of outbreaks able to increase in size and severity, and guide specific control measures to interrupt their propagation.

Indexed as

Disease NotificationDisease OutbreaksMandatory ReportingPopulation SurveillanceCommunicable Disease ControlCross InfectionGermanyHistory, 21st CenturyHumansSeasonsTime Factors

Identifiers

PMID24875674
PMCPMC4038582
OpenAlexW2068227194

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.