Evidence map›Paper›PMID 38095715›Full record

ArticleEuropean journal of pediatrics2024

Analysis of noise levels in the neonatal intensive care unit: the impact of clinical microsystems.

Gerhard Fusch, Saber Mohamed, Ahmad Bakry, Edward W Li, Sourabh Dutta, Salhab El Helou, Christoph Fusch

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Article in European journal of pediatrics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
2.3field-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

4 citing papers in PubMed, 4 citations in OpenAlex.

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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 at 3 institutions in 3 countries.

Gerhard FuschDepartment of Pediatrics, Division of Neonatology, McMaster University, 1280 Main Street West, L8S 4K1, Hamilton, ON, Canada.ORCID http://orcid.org/0000-0003-4026-3211
Saber MohamedDepartment of Mechanical Engineering, McMaster University, Hamilton, Canada.
Ahmad BakryDepartment of Pediatrics, Division of Neonatology, McMaster University, 1280 Main Street West, L8S 4K1, Hamilton, ON, Canada.
Edward W LiDepartment of Pediatrics, Division of Neonatology, McMaster University, 1280 Main Street West, L8S 4K1, Hamilton, ON, Canada.
Sourabh DuttaDepartment of Pediatrics, Division of Neonatology, McMaster University, 1280 Main Street West, L8S 4K1, Hamilton, ON, Canada.
Salhab El HelouDepartment of Pediatrics, Division of Neonatology, McMaster University, 1280 Main Street West, L8S 4K1, Hamilton, ON, Canada.ORCID http://orcid.org/0000-0002-1066-8763
Christoph FuschDepartment of Pediatrics, Division of Neonatology, McMaster University, 1280 Main Street West, L8S 4K1, Hamilton, ON, Canada. christoph.fusch@klinikum-nuernberg.de.ORCID http://orcid.org/0000-0002-8137-4383
McMaster University · CANuremberg Hospital · DEPost Graduate Institute of Medical Education and Research · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Reorganization of neonatal intensive care by introducing clinical microsystems may help to allocate nursing time more appropriately to the needs of patients. However, there is concern that cohorting infants according to acuity may enhance noise levels. This single-center study investigated the impact of reorganization of neonatal intensive care unit by implementing clinical microsystems in a Level III NICU on environmental noise. This prospective study measured 24-h noise levels over a period of 6 months during pre- and post-implementation of microsystems cohorting infants of similar acuity. Comparative analyses of the mixed acuity (i.e., before) and the cohorting (i.e., after) model were performed by creating daily profiles from continuous noise level measurements and calculating the length of exposure to predefined noise levels. Compared to baseline daytime measurements, noise levels were 3-6 dBA higher during physician handover. Noise levels were 2-3 dBA lower on weekends and 3-4 dBA lower at night, independent of the organizational model. The introduction of clinical microsystems slightly increased average noise levels for high-acuity pods (A and B) but produced a much more substantial decrease for low-acuity pods (E), leading to an overall reduction in unit-wide noise levels.    Conclusion: Our data show that noise levels are more driven by human behavior than by technical devices. Implementation of microsystems may help to reduce noise exposure in the lower acuity pods in a NICU. What is Known: • Excessive noise levels can lead to adverse effects on the health and development of premature infants and other critically ill newborns. • The reorganization of the neonatal intensive care unit following the clinical microsystems principles might improve quality of care but also affect noise exposure of staff and patients. What is New: • The transition from a mixed -acuity to cohorting model is associated with an overall reduction in noise levels, particularly in low-acuity pods requiring less nursing care. • Nevertheless, baseline noise levels in both models exceeded the standard permissible limits.

Indexed as

Intensive Care Units, NeonatalNoiseHumansInfantInfant, NewbornInfant, PrematureIntensive Care, NeonatalProspective StudiesDisorders of environmental originEnvironmental exposureOccupational noiseSound pressure

Identifiers

PMID38095715
OpenAlexW4389742757

What OpenQuestion holds

Textmetadata
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.