{"title":"测量印度一家三级医院重症监护病房(icu)噪声源的重复频率","authors":"Meenal Kulkarni","doi":"10.1080/20479700.2023.2277985","DOIUrl":null,"url":null,"abstract":"ABSTRACTMultiple sources contribute to the increased level of noise in a Hospital, which is way beyond the WHO recommendation limit of 35 dBA. The intensive care units contain many sources of noise, such as aspirators, monitors, mechanical ventilators, computers, printers, air conditioning vents, intercoms, staff, and doors. These sources are controllable but are overlooked. The objective of the present study is to identify the frequency of noise-producing sources in three intensive care units-Medical ICU, Neuro ICU, and Cardiac CU which were selected based on the feedback from patients. Data were collected in three shifts and included the identification of sources of sound and their classification into four categories. A sound level meter was used to record the data. Two extremes and one centre of each ICU were marked to take consistent readings in a template on an hourly basis. The average noise levels in all the 3 ICUs in the morning shift was 72.33 dBA, the afternoon shift was 72.15 dBA, and at night was 69.65 dBA. The most recurring noise sources were identified as monitor beeps (88.62%), and verbal communications (83.86%). The median intervals of the majority of the readings were between 65.1 and 70 dBA.KEYWORDS: Frequencyhospitalintensive care unitsnoisesources AcknowledgementsThe researcher deeply appreciates and acknowledges the support provided by staff and management of the healthcare unit for the entire duration of the study.Disclosure statementNo potential conflict of interest was reported by the author(s).Additional informationFundingThe author(s) reported there is no funding associated with the work featured in this article.Notes on contributorsMeenal KulkarniDr. Meenal Kulkarni is working as an Assistant Professor in the field of healthcare management and is associated with MIT-World Peace University, Pune. She holds PhD in healthcare management from Symbiosis International (Deemed University), Pune. Her research areas include healthcare operations management, human resource management in which she has published many research articles.","PeriodicalId":46911,"journal":{"name":"International Journal of Healthcare Management","volume":"41 5","pages":"0"},"PeriodicalIF":1.4000,"publicationDate":"2023-11-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Measuring the recurring frequency of noise producing sources in intensive care units (ICUs) of a tertiary care hospital in India\",\"authors\":\"Meenal Kulkarni\",\"doi\":\"10.1080/20479700.2023.2277985\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"ABSTRACTMultiple sources contribute to the increased level of noise in a Hospital, which is way beyond the WHO recommendation limit of 35 dBA. The intensive care units contain many sources of noise, such as aspirators, monitors, mechanical ventilators, computers, printers, air conditioning vents, intercoms, staff, and doors. These sources are controllable but are overlooked. The objective of the present study is to identify the frequency of noise-producing sources in three intensive care units-Medical ICU, Neuro ICU, and Cardiac CU which were selected based on the feedback from patients. Data were collected in three shifts and included the identification of sources of sound and their classification into four categories. A sound level meter was used to record the data. Two extremes and one centre of each ICU were marked to take consistent readings in a template on an hourly basis. The average noise levels in all the 3 ICUs in the morning shift was 72.33 dBA, the afternoon shift was 72.15 dBA, and at night was 69.65 dBA. The most recurring noise sources were identified as monitor beeps (88.62%), and verbal communications (83.86%). The median intervals of the majority of the readings were between 65.1 and 70 dBA.KEYWORDS: Frequencyhospitalintensive care unitsnoisesources AcknowledgementsThe researcher deeply appreciates and acknowledges the support provided by staff and management of the healthcare unit for the entire duration of the study.Disclosure statementNo potential conflict of interest was reported by the author(s).Additional informationFundingThe author(s) reported there is no funding associated with the work featured in this article.Notes on contributorsMeenal KulkarniDr. Meenal Kulkarni is working as an Assistant Professor in the field of healthcare management and is associated with MIT-World Peace University, Pune. She holds PhD in healthcare management from Symbiosis International (Deemed University), Pune. Her research areas include healthcare operations management, human resource management in which she has published many research articles.\",\"PeriodicalId\":46911,\"journal\":{\"name\":\"International Journal of Healthcare Management\",\"volume\":\"41 5\",\"pages\":\"0\"},\"PeriodicalIF\":1.4000,\"publicationDate\":\"2023-11-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal of Healthcare Management\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1080/20479700.2023.2277985\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"HEALTH POLICY & SERVICES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Healthcare Management","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1080/20479700.2023.2277985","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"HEALTH POLICY & SERVICES","Score":null,"Total":0}
Measuring the recurring frequency of noise producing sources in intensive care units (ICUs) of a tertiary care hospital in India
ABSTRACTMultiple sources contribute to the increased level of noise in a Hospital, which is way beyond the WHO recommendation limit of 35 dBA. The intensive care units contain many sources of noise, such as aspirators, monitors, mechanical ventilators, computers, printers, air conditioning vents, intercoms, staff, and doors. These sources are controllable but are overlooked. The objective of the present study is to identify the frequency of noise-producing sources in three intensive care units-Medical ICU, Neuro ICU, and Cardiac CU which were selected based on the feedback from patients. Data were collected in three shifts and included the identification of sources of sound and their classification into four categories. A sound level meter was used to record the data. Two extremes and one centre of each ICU were marked to take consistent readings in a template on an hourly basis. The average noise levels in all the 3 ICUs in the morning shift was 72.33 dBA, the afternoon shift was 72.15 dBA, and at night was 69.65 dBA. The most recurring noise sources were identified as monitor beeps (88.62%), and verbal communications (83.86%). The median intervals of the majority of the readings were between 65.1 and 70 dBA.KEYWORDS: Frequencyhospitalintensive care unitsnoisesources AcknowledgementsThe researcher deeply appreciates and acknowledges the support provided by staff and management of the healthcare unit for the entire duration of the study.Disclosure statementNo potential conflict of interest was reported by the author(s).Additional informationFundingThe author(s) reported there is no funding associated with the work featured in this article.Notes on contributorsMeenal KulkarniDr. Meenal Kulkarni is working as an Assistant Professor in the field of healthcare management and is associated with MIT-World Peace University, Pune. She holds PhD in healthcare management from Symbiosis International (Deemed University), Pune. Her research areas include healthcare operations management, human resource management in which she has published many research articles.