Evidence map›Paper›PMID 29950324›Full record

ArticleBMJ quality & safety2018

Implementing infection prevention practices across European hospitals: an in-depth qualitative assessment.

Lauren Clack, Walter Zingg, Sanjay Saint, Alejandra Casillas, Sylvie Touveneau, Fabricio da Liberdade Jantarada, Ursina Willi, Tjallie van der Kooi, Laura J Damschroder, Jane H Forman and 5 more

Abstract read
In one paragraph

Article in BMJ quality & safety, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed, 2 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

32 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
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  7. Excellence in Antibiotic Stewardship: A Mixed-Methods Study Comparing High-, Medium-, and Low-Performing Hospitals.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2024
    Article
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  10. Implementing strategies to prevent infections in acute-care settings.Infection control and hospital epidemiology · 2023
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

15 authors.

Lauren Clack *Division of Infectious Diseases and Hospital Epidemiology, University of Zurich, University Hospital of Zurich, Zurich, Switzerland.ORCID 0000-0002-5162-5188
Walter Zingg *Infection Control Programme, University of Geneva Hospitals, Geneva, Switzerland.
Sanjay SaintCenter for Clinical Management Research, VA Ann Arbor Healthcare System, Ann Arbor, Michigan, USA.
Alejandra CasillasDivision of General Internal Medicine and Health Services Research, Department of Medicine, UCLA David Geffen School of Medicine, Los Angeles, California, USA.
Sylvie TouveneauInfection Control Programme, University of Geneva Hospitals, Geneva, Switzerland.
Fabricio da Liberdade JantaradaInfection Control Programme, University of Geneva Hospitals, Geneva, Switzerland.
Ursina WilliDivision of Infectious Diseases and Hospital Epidemiology, University of Zurich, University Hospital of Zurich, Zurich, Switzerland.
Tjallie van der KooiCentre for Infectious Disease Control, National Institute for Public Health and the Environment, Bilthoven, The Netherlands.
Laura J DamschroderCenter for Clinical Management Research, VA Ann Arbor Healthcare System, Ann Arbor, Michigan, USA.
Jane H FormanCenter for Clinical Management Research, VA Ann Arbor Healthcare System, Ann Arbor, Michigan, USA.
Molly HarrodCenter for Clinical Management Research, VA Ann Arbor Healthcare System, Ann Arbor, Michigan, USA.
Sarah KreinCenter for Clinical Management Research, VA Ann Arbor Healthcare System, Ann Arbor, Michigan, USA.
Didier PittetInfection Control Programme, University of Geneva Hospitals, Geneva, Switzerland.
Hugo SaxDivision of Infectious Diseases and Hospital Epidemiology, University of Zurich, University Hospital of Zurich, Zurich, Switzerland.
PROHIBIT Consortium

Funding

HSRD VA IK6 HX003399
6 · The paper itself

Abstract

objectiveThe Prevention of Hospital Infections by Intervention and Training (PROHIBIT) project included a cluster-randomised, stepped wedge, controlled study to evaluate multiple strategies to prevent catheter-related bloodstream infection. We report an in-depth investigation of the main barriers, facilitators and contextual factors relevant to successfully implementing these strategies in European acute care hospitals.

methodsQualitative comparative case study in 6 of the 14 European PROHIBIT hospitals. Data were collected through interviews with key stakeholders and ethnographic observations conducted during 2-day site visits, before and 1 year into the PROHIBIT intervention. Qualitative measures of implementation success included intervention fidelity, adaptation to local context and satisfaction with the intervention programme.

resultsThree meta-themes emerged related to implementation success: 'implementation agendas', 'resources' and 'boundary-spanning'. Hospitals established unique implementation agendas that, while not always aligned with the project goals, shaped subsequent actions. Successful implementation required having sufficient human and material resources and dedicated change agents who helped make the intervention an institutional priority. The salary provided for a dedicated study nurse was a key facilitator. Personal commitment of influential individuals and boundary spanners helped overcome resource restrictions and intrainstitutional segregation.

conclusionThis qualitative study revealed patterns across cases that were associated with successful implementation. Consideration of the intervention-context relation was indispensable to understanding the observed outcomes.

Indexed as

HospitalsCommunicable Disease ControlCross InfectionEuropeFemaleHumansInterviews as TopicMaleQualitative Researchhospital medicineimplementation scienceinfection controlqualitative research

Identifiers

PMID29950324
PMCPMC6166596

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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.