Noise level in a neonatal intensive care unit in Santa Marta - Colombia

Galindo, Angélica Patricia Garrido; Caicedo, Yiniva Camargo; Vélez-Pereira, Andrés M.

doi:10.25100/cm.v48i3.2173

Cited by 11 publications

(10 citation statements)

References 13 publications

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“…These views gave us a holistic perspective that can help us to consider all sound sources in future interventions. In this regard, Garrido Galindo et al23 evaluated the level and sources of noise in the NICU unit and found alarms and telephones as sources with levels of 16.8 to 63.3 dB. The mean level of sound was 64.00 ± 3.62 dB, ranging from a minimum of 54.84 ± 2.61 dB to a maximum of 76.04 ± 5.73 dB.…”

Section: Discussionmentioning

confidence: 99%

Noise in a Neonatal Intensive Care Unit

Sabetsarvestani¹,

Köse²,

Geçkil³

et al. 2022

Advances in Neonatal Care

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Background: Concerns regarding the environmental noise issue in neonatal units and an interest in developing strategies to reduce this noise have motivated researchers to conduct comprehensive qualitative research to elucidate the current situation and help improve it. Purpose: This study aims to explore the current state of noise and possible solutions in a neonatal intensive care unit (NICU) in Konya, Turkey. Methods: In 2021, a descriptive exploratory study was conducted with a qualitative content analysis approach. Eighteen nurses, three physicians, seven staff members, and four mothers were selected to participate in the study via purposeful sampling. The data were collected from two semi-structured interviews, six focus groups, six observations, and sound source level measurements using a sound decibel meter. Qualitative content analysis was used to analyze the data. Results: Three main themes and seven major categories emerged from the data analysis. The themes were overt and covert sources, pan-negative effects, and holistic modification. All recorded sound levels exceeded the recommended noise level of 45 dB. Fifty-seven percent of sound sources were in the range of 45-65 dB, and 43% were higher than 65 dB. Implications for Practice and Research: This study showed that NICU has a noisy environment with hidden sound sources that can negatively affect all people. This situation must be approached seriously by holistic modification involving environmental modification, behavioral modification, and resource management. It highlighted that each environment is unique and needs to be carefully evaluated to find a suitable and cost-effective solution.

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Section: Discussionmentioning

confidence: 99%

Noise in a Neonatal Intensive Care Unit

Sabetsarvestani¹,

Köse²,

Geçkil³

et al. 2022

Advances in Neonatal Care

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“…Noise levels in ICUs have been reported to exceed average values 34 . Demir and Öztunç investigated the effect of noise on nocturnal sleep and vital signs in intensive care patients and reported a mean noise level of 52.04 ± 5.75 dB, while Terzi et al reported a mean level of 71 dB and Garrido Galindo et al a mean level of 64.00 ± 3.62 dB(A) (maximum 76.04 ± 5.73 dB, minimum 54.84 ± 2.61 dB), all above average values 10,35,36 . The WHO has reported a maximum tolerable level of 50 to 55 dB(A) 7,10 .…”

Section: Discussionmentioning

confidence: 99%

The effects of noise levels on pain, anxiety, and sleep in patients

Sayılan

Kulakaç

Sayılan

2020

Nursing in Critical Care

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Background Intensive care is a noisy environment for patients and one that affects pain, anxiety levels, and sleep quality. Aims and objectives To determine the relationship between noise levels and pain, anxiety, and sleep levels in patients in intensive care units. Design A descriptive and observational study design was used. Methods This study was conducted between June and December 2018 in a public hospital and included 111 patients admitted to surgical critical care for at least 24 hours. Three Benetech Gm1351 manual sound level metres were used to measure noise. A Patient Information Form, a pain Visual Analog Scale (VAS), the Spielberger State‐Trait Anxiety Inventory, and the Richards Campbell Sleep Questionnaire (RCSQ) were used for data collection. Results The mean age of the patients was 57.29 years. The mean noise level detected in the intensive care unit was 66.52 dB (dB). Patients' mean pain VAS score was 3.79 ± 1.72, the mean State Anxiety Inventory score was 39.74 ± 2.98, and the mean total RCSQ score was 25.10 ± 13.17. Our findings show that patients in the intensive care unit are exposed to high noise levels and that, while this has no effect on pain, it significantly impacts anxiety and quality of sleep. Conclusions Noise levels in intensive care units significantly exceed recommended thresholds, and this adversely affects patients' anxiety levels and sleep quality. It is important for suitably restful conditions to be provided for patients, to be aware of the potential for anxiety, and for these factors to be borne in mind when planning nursing interventions. Relevance to clinical practice Further studies on the effects of noise levels on pain, anxiety, and sleep levels in patients admitted to intensive care units are needed.

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“…A study showed significant differences of noise level between the work shift in the ICU, with higher values of noise intensity in the early hours of the day. that morning shifts are noisier and more crowded, which may increase the barriers (25). Krajilic, 2017 also reported higher scores of workload and patient admission on day shifts compare to night shifts in the ICU, that can explain the results of multiple regression (26).…”

Section: Discussionmentioning

confidence: 57%

Barriers to Nursing Performance from the Perspective of Nurses Working in Intensive Care Units

Rajaeian¹,

MasoudiAlavi²

2018

Crit Care Nurs J

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Background: There are many performance obstacles in intensive care units (ICU) that can waste a nurse's time and energy. Detection and elimination of these obstacles can improve efficacy in ICUs. Objectives: This study was carried out to identify the performance obstacles experienced by nurses in ICUs of selected hospitals in Kashan/Iran, 2015. Methods: In this descriptive analytical cross-sectional study, all 80 nurses working in ICUs reported their performance obstacles in 240 working shifts. The research instrument had 2 parts: 1-information of nurses and their working shift; 2-nursing performance obstacles questionnaire of Gurses. The questionnaire evaluates performance obstacles in 4 dimensions of environment, task, technology, and organization. The data analyzed with the descriptive and analytical statistics including Mann-Whitney U and Krukall-Wallis tests, and multiple regression analysis using SPSS 16. Results: The most common obstacles were: receiving too many phone calls from family members (75%), delay in getting medications from pharmacy (54.6%), insufficient space to sit down and do paperwork (52.9%), and disorganized unit (51.6%). In the field of technology, having to use equipment in poor condition (35%) was the most frequent obstacle. Delay in seeing new medical orders (48.3%) and inadequate information from physicians (30.4%) were other common obstacles. The nurses with less than 3 years of experience working in ICUs, those working morning shifts, and nurses who had admitted more patients reported significantly more obstacles. Conclusions: Nursing performance obstacles were different. Many obstacles such as receiving too many phone calls and having to use equipment in poor condition can be managed by simple interventions such as using technology to give information to the family members. Management policies and enhancing team works are needed to reduce obstacles such as inadequate information from physicians and disorganized unit. We need further studies, to evaluate how the elimination of these obstacles can improve the nursing care in ICUs.

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Noise level in a neonatal intensive care unit in Santa Marta - Colombia

Cited by 11 publications

References 13 publications

Noise in a Neonatal Intensive Care Unit

Noise in a Neonatal Intensive Care Unit

The effects of noise levels on pain, anxiety, and sleep in patients

Barriers to Nursing Performance from the Perspective of Nurses Working in Intensive Care Units

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