Evidence map›Paper›PMID 42354978›Full record

ReviewMicroorganisms2026

Global Surveillance of Healthcare-Associated Infections in Long-Term Care Facilities: A Narrative Review.

Luisa-Andreea Gheorghe, Carmen-Cristina Vasile, Liviu-Iulian Rotaru, Maria Dorina Crăciun, Irina Magdalena Dumitru, Daniela Pițigoi, Carmen Daniela Chivu

Abstract readReview
In one paragraph

Review in Microorganisms, 2026. 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

7 authors.

Luisa-Andreea GheorgheDepartment of Epidemiology I, University of Medicine and Pharmacy 'Carol Davila', 020021 Bucharest, Romania.ORCID 0009-0009-2192-0125
Carmen-Cristina VasileDepartment of Epidemiology I, University of Medicine and Pharmacy 'Carol Davila', 020021 Bucharest, Romania.ORCID 0009-0008-9635-1177
Liviu-Iulian RotaruNational Institute of Infectious Diseases 'Prof. Dr. Matei Balș', 021105 Bucharest, Romania.ORCID 0009-0005-1473-5600
Maria Dorina CrăciunDepartment of Epidemiology I, University of Medicine and Pharmacy 'Carol Davila', 020021 Bucharest, Romania.ORCID 0000-0003-1052-7730
Irina Magdalena DumitruClinical Infectious Diseases Hospital, 100 Ferdinand Str, 900709 Constanta, Romania.ORCID 0000-0003-0395-6713
Daniela PițigoiDepartment of Epidemiology I, University of Medicine and Pharmacy 'Carol Davila', 020021 Bucharest, Romania.ORCID 0000-0003-4118-8268
Carmen Daniela ChivuDepartment of Epidemiology I, University of Medicine and Pharmacy 'Carol Davila', 020021 Bucharest, Romania.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Healthcare-associated infections (HAIs) in long-term care facilities (LTCFs) are a public health problem worldwide. The aim of this narrative review is to summarize and to provide a comprehensive overview of the current surveillance methods used in LTCFs. We conducted a search of the PubMed database starting from 2000 onward. We found 324 articles that were systematically evaluated by the titles, abstracts, and full texts, and we selected 42 records. These articles were dispersed across North America, Europe, Australia, and Asia. We identified articles describing the results from active or passive surveillance and from a point prevalence study (PPS). The most frequently used method was PPSs in 30 studies, followed by 12 articles reporting active surveillance results and 3 articles describing active surveillance findings. The case definitions applied in 16 articles were those provided by the Centers for Disease Control and Prevention, followed by the McGeer and European Centre for Disease Prevention and Control definitions in 15 and 13, respectively. Twenty-six studies described the method used to calculate the HAI indicator (incidence, incidence density, or prevalence). The articles on PPSs reported prevalence per 100 patients (22 articles), whereas those on active and passive surveillance reported the incidence density per 1000 patient-days. PPSs effectively identified HAIs in LTCFs through standardized data collection and essential interpretive information. The variability in surveillance methods, case definitions, HAI types, and indicator calculation approaches highlights the need for standardized surveillance protocols and methodologies in LTCFs worldwide. Furthermore, these findings emphasize the importance of implementing appropriate surveillance systems and targeted public health measures to effectively address the specific needs and vulnerabilities of the LTCF population in our country.

Indexed as

healthcare-associated infectionslong-term care facilitiesolder adultspoint prevalence surveyreviewsurveillance

Identifiers

PMID42354978
PMCPMC13305300

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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.