Evidence map›Paper›PMID 38410666›Full record

ArticleFrontiers in public health2024

Advanced theoretical-applied model based on the PD approach in the light of healthcare-associated infections: what have we achieved so far?

Ricky Cohen, Anat Gesser-Edelsburg

Abstract read
In one paragraph

Article in Frontiers in public health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

2 authors.

Ricky CohenCheryl Spencer Department of Nursing and the Health and Risk Communication Research Lab, University of Haifa, Haifa, Israel.
Anat Gesser-EdelsburgHead of the Health Promotion Program and Head of the Health and Risk Communication Lab, School of Public Health, University of Haifa, Haifa, Israel.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Healthcare-associated infections remain a persistent concern despite decades of research and intervention efforts. Adherence to infection prevention and control guidelines by health professionals remains a challenge, necessitating innovative strategies. The Positive Deviance (PD) approach, rooted in harnessing localized solutions, holds promise but lacks comprehensive frameworks and empirical validation to bolster its theoretical underpinnings. This perspective article serves a dual purpose: first, to examine the unique challenges of applying the PD approach in the context of HAIs; and second, to introduce a robust theoretical-applied model developed in response to these challenges. This article addresses these gaps through a multi-faceted model developed in a mixed-methods study across three Israeli governmental hospitals and comprises four essential components that address the identified gaps in existing research. This article enriches the dialog on PD's applicability in HAIs by providing a robust model that not only offers solutions but reshapes the approach to healthcare hygiene and safety. It responds to critical gaps highlighted in the literature, offering tailored interventions by practical, context-specific solutions to improve adherence to IPC guidelines in the long term. Methodological clarity is also a key focus, offering a toolkit for practical implementation. This bottom-up approach empowers HPs to drive change, fostering a culture of innovation and improvement in healthcare settings.

Indexed as

Cross InfectionDelivery of Health CareHealth PersonnelHumansHygienehealthcare-associated infectionshealth professionalsinfection prevention and controlpositive deviance approachtheoretical-applied model

Identifiers

PMID38410666
PMCPMC10894930

What OpenQuestion holds

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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.