Effect of ambient noise on indoor environments in a health care facility in Oman

Amoatey, Patrick; Al-Harthy, Issa; Al-Mushaifari, Muntasar Ali; Al‐Jabri, Khalifa; Al‐Mamun, Abdullah

doi:10.1007/s11356-021-16875-y

Cited by 7 publications

(3 citation statements)

References 64 publications

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“…Although numerous techniques for reducing false alarms in the ICU have been established, their adoption into a clinical practice is still inadequate. Alarm management tactics reduce alerts by 24 percent to 88.5 percent per ICU, demonstrating the efficiency of such measures, which include staff training for each ward that incorporates patient monitoring devices ( 19 ).…”

Section: Discussionmentioning

confidence: 99%

Experiences, barriers and expectations regarding current patient monitoring systems among ICU nurses in a University Hospital in Lebanon: a qualitative study

Rayan,

Al-Ghabeesh,

Fawaz

et al. 2024

Front. Digit. Health

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PurposeThe aim of the study is to assess the experiences, barriers, and expectations regarding current patient monitoring systems among intensive care unit nurses at one university hospital.MethodsA qualitative exploratory study approach was adopted to test the research questions.ResultsIntensive care unit personnel placed a high value on practical criteria such as user friendliness and visualization while assessing the present monitoring system. Poor alarm handling was recognized as possible patient safety hazards. The necessity of high accessibility was highlighted once again for a prospective system; wireless, noninvasive, and interoperability of monitoring devices were requested; and smart phones for distant patient monitoring and alert management improvement were required.ConclusionCore comments from ICU personnel are included in this qualitative research on patient monitoring. All national healthcare involved parties must focus more on user-derived insights to ensure a speedy and effective introduction of digital health technologies in the ICU. The findings from the alarm control or mobile device studies might be utilized to train ICU personnel to use new technology, minimize alarm fatigue, increase medical device accessibility, and develop interoperability standards in critical care practice.

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Section: Discussionmentioning

confidence: 99%

Experiences, barriers and expectations regarding current patient monitoring systems among ICU nurses in a University Hospital in Lebanon: a qualitative study

Rayan,

Al-Ghabeesh,

Fawaz

et al. 2024

Front. Digit. Health

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“…In other words, noise and noise annoyance can lead to decreased quality of patient care through these consequences. In a study on the effect of ambient noise on annoyance and potential health effects, Amoaty et al reported that medical staff complained about noise and its effect on overall work performance and loss of concentration [ 37 ]. Therefore, it can be expected that noise can affect quality of care through these adverse effects.…”

Section: Discussionmentioning

confidence: 99%

A Bayesian network model to predict the role of hospital noise, annoyance, and sensitivity in quality of patient care

et al. 2022

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Background Hospital noise can adversely impact nurses’ health, their cognitive function and emotion and in turn, influence the quality of patient care and patient safety. Thus, the aim of this study was to predict the contributing roles of exposure to hospital noise, staff noise-sensitivity and annoyance, on the quality of patient care. Methods This descriptive and cross-sectional study was carried out among nurses in an Iranian hospital. To determine nurses’ noise exposure level, the noise was measured in 1510 locations across the hospital in accordance with ISO 9612 standards using KIMO DB 300/2 sound level meter and analyzer. An online survey was used to collect nurses’ individual data. Study questionnaires included demographics, Weinstein noise sensitivity scale, noise annoyance scale, and quality of patient care scale. Finally, to analyze the data, Bayesian Networks (BNs), as probabilistic and graphical models, were used. Results For the high noise exposure state, high noise sensitivity, and high annoyance, with the probability of 100%, the probability of delivering a desirable quality of patient care decreased by 21, 14, and 23%, respectively. Moreover, at the concurrently high noise exposure and high noise sensitivity with the probability of 100%, the desirable quality of patient care decreased by 26%. The Bayesian most influence value was related to the association of noise exposure and annoyance (0.636). Moreover, annoyance had the highest association with the physical aspect of quality of care (0.400) and sensitivity had the greatest association with the communication aspect (0.283). Conclusion Annoyance induced from environmental noise and personal sensitivity affected the quality of patient care adversely. Moreover, noise and sensitivity had a separate direct adverse effect upon the quality of patient care, and their co-occurrence reduced the potential for delivering quality patient care.

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“…In another study by Amoaty et al, the effect of ambient noise on annoyance and potential health effects was investigated. They stated that medical staff complained about noise and its effect on overall work performance and loss of concentration [33]. Therefore, it can be expected that noise can affect quality of care through these adverse effects.…”

Section: Discussionmentioning

confidence: 99%

A Bayesian network model to predict the role of hospital noise, annoyance, and sensitivity in quality of patient care

Abbasi

Yazdanirad

Zokaei

et al. 2022

Preprint

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Background Hospital noise can threaten nurses' health, their cognitive function and emotion and in turn, influence the quality of patient care and patient safety. The aim of this study was to predict the role hospital noise, annoyance, and sensitivity in quality of patient care. Methods This descriptive and cross-sectional study was carried out among nurses in an Iranian hospital. To determine nurses' noise exposure level, the noise was measured in the 1510 points in the hospital in accordance with ISO 9612 using KIMO DB 300/2 sound level meter and analyzer. Then, an online survey was conducted to collect individual data. The applied questionnaires were a demographic questionnaire, Weinstein noise sensitivity scale, noise annoyance scale, and quality patient care scale. Finally, to analyze data, Bayesian Networks (BNs), as probabilistic and graphical models were used. Results For the high noise exposure, high noise sensitivity, and high annoyance with the probability of 100%, the probability of desirable quality of patient care decreased by 21, 14, and 23 percent, respectively. Moreover, at the concurrently high noise exposure and high noise sensitivity with the probability of 100%, the desirable quality of patient care decreased by 26%. The most effective mean values belonged to the association of noise exposure and annoyance (0.636). Moreover, the annoyance had highest association with the physical aspect (0.400) and the sensitivity had greatest association with the communication aspect (0.283). Conclusion Annoyance induced from noise and sensitivity affected the quality of patient care adversely. Moreover, noise and sensitivity had a separate direct adverse effect upon the quality of patient care and their coincidence occurrence reduced the quality of patient care potentially.

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Effect of ambient noise on indoor environments in a health care facility in Oman

Cited by 7 publications

References 64 publications

Experiences, barriers and expectations regarding current patient monitoring systems among ICU nurses in a University Hospital in Lebanon: a qualitative study

Experiences, barriers and expectations regarding current patient monitoring systems among ICU nurses in a University Hospital in Lebanon: a qualitative study

A Bayesian network model to predict the role of hospital noise, annoyance, and sensitivity in quality of patient care

A Bayesian network model to predict the role of hospital noise, annoyance, and sensitivity in quality of patient care

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