Evidence map›Paper›PMID 30634960›Full record

ArticleBMC public health2019

Collaborative emergency preparedness and response to cross-institutional outbreaks of multidrug-resistant organisms: a scenario-based approach in two regions of the Netherlands.

Marion de Vries, Patrick Kenis, Marleen Kraaij-Dirkzwager, Elis Joost Ruitenberg, Jörg Raab, Aura Timen

Open access · goldAbstract read
In one paragraph

Article in BMC public health, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
3.0field-weighted citation impact, top 10% 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

6 citing papers in PubMed, 16 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. 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

6 authors at 3 institutions in 1 country.

Marion de VriesCentre for Infectious Disease Control, National Institute for Public Health and the Environment (RIVM), Bilthoven, The Netherlands. marion.de.vries@rivm.nl.ORCID http://orcid.org/0000-0001-5011-6069
Patrick KenisTilburg Institute of Governance, Tilburg University, Tilburg, The Netherlands.
Marleen Kraaij-DirkzwagerCentre of Environmental Safety and Security, National Institute for Public Health and the Environment (RIVM), Bilthoven, The Netherlands.
Elis Joost RuitenbergAthena Institute for Innovative and Transdisciplinary Research in Health Sciences, VU University Amsterdam, Amsterdam, The Netherlands.
Jörg RaabDepartment of Organization Studies, Tilburg University, Tilburg, The Netherlands.
Aura TimenCentre for Infectious Disease Control, National Institute for Public Health and the Environment (RIVM), Bilthoven, The Netherlands.
National Institute for Public Health and the Environment · NLTilburg University · NLAmsterdam UMC Location Vrije Universiteit Amsterdam · NL

Funding

Rijksinstituut voor Volksgezondheid en Milieu Strategic Research Programme RIVM (SPR), GRASP, RIC S/111002
6 · The paper itself

Abstract

backgroundThe likelihood of large-scale outbreaks of multidrug-resistant organisms (MDRO) is growing. MDRO outbreaks can affect a wide range of healthcare institutions. Control of such outbreaks requires structured collaboration between professionals from all involved healthcare institutions, but guidelines for cross-institutional procedures are, however, often missing. Literature indicates that such multi-actor collaboration is most promising when effective network brokers are present, and when the collaborative actors have clarity about the different roles and responsibilities in the outbreak response network, including collaborative structures and coordination roles. Studying these factors in an imaginary MDRO outbreak scenario, we gained insights into the expectations that health professionals in the Netherlands have in regard to the procedures required to best respond to any future cross-institutional MDRO outbreaks.

methodsFor exploration purpose, a focus group discussion with ten healthcare professionals was held. Subsequently, an online-survey was conducted among 56 healthcare professionals in two Dutch regions. The survey data was analysed using social network analyses (clique analysis and centrality analysis), which provided insights into the collaborative structures and potential brokers in the outbreak response networks. Additionally, respondents were asked which healthcare institutions and which professions they would prefer as coordinating actors in the collaborative network.

resultsOur results show a relatively high level of perceived clarity about the roles and responsibilities that healthcare professionals have during a joint outbreak response. The regional outbreak response networks which were studied appeared inclusive and integrated, with many overlapping groups of fully-connected healthcare actors. Social network analyses resulted in the identification of several central actors from different healthcare institutions with the potential to take on a brokerage role in the collaboration. Actors in the outbreak response networks also showed to prefer several healthcare professionals to take on the coordination roles.

conclusionExpected collaborative structures during an imaginary regional MDRO outbreak response are relatively dense and integrated. In regard to the coordination of an MDRO outbreak response, based on both the network analysis results and the preferred coordination roles, our findings support a governance structure with several healthcare institutions involved in responding to future cross-institutional MDRO outbreaks.

Indexed as

Cooperative BehaviorCross InfectionDisaster PlanningDisease OutbreaksDrug Resistance, MultipleEmergenciesGovernmentHealth FacilitiesHumansNetherlandsAntimicrobial resistanceMultidrug-resistant organismsNetwork analysisOutbreak managementOutbreak response

Identifiers

PMID30634960
PMCPMC6329161
OpenAlexW2909365088

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.