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

Effects of postoperative environmental noise on surgery induced pain: Evidence based on a prospective observational study

CONTEXT

Many patients recovering from surgery in wards are disturbed by environmental noise. However, the effects of environmental noise on postoperative pain are unclear.

OBJECTIVES

This study aimed to assess the association between postoperative noise and pain.

METHODS

This prospective study included 182 women who underwent cesarean sections. Postoperative noise was continuously recorded, and pain intensity at rest was assessed using a numerical rating scale (NRS) for 0-6, 6-12, 12-18, and 18-24 h after the patients were returned to the ward. Cumulative pain scores were calculated by summing the NRS scores at each time point and comprised the primary outcome. The maximum pain NRS score and analgesic consumption during the 24 h after surgery were also recorded.

RESULTS

Mean environmental noise intensity during the daytime was an independent factor for cumulative pain scores, maximum pain scores, and analgesic use during the first postoperative 24 h (β, 0.37; 95% CI, 0.21-0.53 and β, 0.12; 95% CI, 0.07-0.17; P < 0.001 for both; β, 0.86; 95% CI, 0.25-1.46; P = 0.006). Cumulative and maximum NRS pain scores as well as the incidence of NRS ≥ 4 were significantly higher in patients under mean daytime environmental noise of ≥58, than <58 decibels (dB) (8.0 [6.0-11.3] vs. 6.0 (5.0-7.0); 3.0 [2.0-4.0] vs. 2.0 [2.0-2.0, and 25.6% vs. 11.0%; RR, 2.32; 95% CI, 1.19-4.54, respectively; P < 0.001 for all).

CONCLUSIONS

Higher-level postoperative noise exposure was associated with more severe postoperative pain and increased analgesic needs, as well as a higher incidence of moderate-to-severe pain in patients recovering from cesarean delivery. Our findings indicate that reducing environmental ward noise might benefit for postoperative pain management.

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

Purpose

The 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.

Methods

A qualitative exploratory study approach was adopted to test the research questions.

Results

Intensive 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.

Conclusion

Core 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.

Relationship between Noise Exposure and Prognosis of Patients with Heart Failure: A Retrospective Analysis

BACKGROUND

Environmental noise damages the cardiovascular system and endangers human health. This study was conducted to analyze the relationship between noise exposure and prognosis of patients with heart failure and to provide a good strategy for disease treatment.

METHODS AND MATERIALS

This study was a retrospective analysis. A total of 487 patients with heart failure admitted to Ganzhou People's Hospital from September 2021 to September 2023 were selected as research subjects, and they were divided into the low noise exposure group (<55 dB; group A) and the high noise exposure group (≥55 dB; group B) according to the noise exposure conditions. The baseline data and physiological indicators of the two groups were analyzed.

RESULTS

In this study, 84 patients were included in group B, and the remaining 403 patients were included in group A. Group A had lower systolic pressure, diastolic pressure, heart rate, and respiratory rate compared to group B (P < 0.05). The serum B-type natriuretic peptide (BNP) level in group A was lower than that in group B (P < 0.001). Group B had significantly higher scores on the Self-rating Anxiety Scale (SAS) and Self-rating Depression Scale (SDS) compared to group A (P < 0.001). The noise level was correlated with SAS score, SDS score, and serum BNP level (all P < 0.001).

CONCLUSION

The noise exposure is correlated with the prognosis of patients with heart failure, suggesting that active strategies should be adopted to reduce the impact of noise on their disease.

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

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.