Tomás-Vecina S, Reyes-Ramos MJ. [Challenges and initiatives in the prevention of healthcare associated infections: Expert consensus study].
J Healthc Qual Res 2023;
38:376-389. [PMID:
37925298 DOI:
10.1016/j.jhqr.2023.10.001]
[Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2023] [Revised: 09/04/2023] [Accepted: 10/03/2023] [Indexed: 11/06/2023]
Abstract
INTRODUCTION
The objective of the project was to identify new strategies, agreed upon by experts, that help reduce the prevalence of Health Care Related Infections (HAIs) given the increase in their prevalence as a result of the pandemic and improve patient safety.
MATERIAL AND METHODS
The project was developed in three phases. The first two are framed in a sequential explanatory mixed model. Phase 1 consisted of a quantitative study (anonymous survey) to find out the perception of healthcare professionals about HAIs, risk factors, preventive measures, protocols, disinfection products and approaches. Phase 2 consisted of a qualitative exploratory study in which a panel of 15 experts analyzed the results, using focus group techniques, integrating both phases through the elaboration of metainferences. Phase 3 consisted of a qualitative descriptive study where, through nominal group techniques, agreed proposals for strategies to prevent HAIs were prepared.
RESULTS
The panel of experts defined a total of 51 proposals for new strategies: 15 in hand hygiene, 13 in surface cleaning, 13 in the use of devices, and 10 in HAI prevention training. Of all of them, 13 were agreed upon as preferable (medium-high viability and high impact) and 7 as recommendable (low viability and high impact).
CONCLUSIONS
In the prevention of HAIs, experts recommend applying different strategies simultaneously, which include innovative, technological and humanization aspects, both in data collection, intervention and training, prioritizing those with the greatest impact. and feasibility.
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