{"title":"卢旺达围手术期医疗服务提供者的职业倦怠综合症","authors":"Eugene Tuyishime,Chilombo Bould,Daniel I MacIsaac,Charles Nkurunziza,Christophe Mpirimbanyi,Felix Nduhuye,Matthew Pereira,Heather O'Reilly,M Dylan Bould","doi":"10.1213/ane.0000000000007672","DOIUrl":null,"url":null,"abstract":"BACKGROUND\r\nMany studies address health care provider burnout in high-income countries; however, there is little data on burnout in low-income countries. Our objectives were (1) to estimate the prevalence of burnout among perioperative health care providers and (2) to explore factors associated with burnout among perioperative health care providers in Rwandan public hospitals.\r\n\r\nMETHODS\r\nA cross-sectional study using a survey was conducted among perioperative health care providers working in 22 public hospitals across Rwanda. We used a purposive sampling method to represent all regions (4 provinces and the capital Kigali) and types of public hospitals in Rwanda conducting surgery, excluding major teaching centers. We used the Maslach Burnout Inventory Human Services Survey (MBI_HSS), a validated 22-item survey including 3 dimensions of burnout: (1) emotional exhaustion (EE), (2) depersonalization (DP), and (3) personal achievement (PA). We estimated the prevalence of burnout using Wilson's method and we identified factors associated with burnout using a multivariate analysis.\r\n\r\nRESULTS\r\nThere were 221 responses from 402 surveys sent with a response rate of 53.7% including nurses 106 (47.9%), general practitioners 36 (16.3%), nonphysician anesthetists 33 (14.9%), midwives 25 (11.3%), and specialist surgeons and anesthesiologists 4 (1.8%). Forty-7 (21.3, 95% CI 16.1-27.3)% participants had burnout, 95 (42.9, 95 CI 36.6-49.6)% had high emotional exhaustion, 57 (25.8, 95 CI 20.5-31.9)% had low personal accomplishment, 15 (6.8, 95 CI 4.2-10.9)% had high depersonalization). Three major burnout profiles were identified among participants, including the overextended group 84 (38%), the engaged group 83 (37.6%), and the ineffective group 39 (17.6%). Among postulated predictors of burnout, only a lack of having the right equipment was strongly associated with burnout (adj-OR, 3.21; 95 CI, 1.18-8.73, P = .02).\r\n\r\nCONCLUSIONS\r\nOne in 5 perioperative health care providers in Rwanda report having burnout, which is consistent with previous data. This suggests that burnout is widespread across the Rwandan health care system, across different perioperative professions. The only factor that was associated with burnout was lack of access to essential equipment; however, other factors that have been identified in the literature, which are not statistically significant in this study, should not be overlooked. Addressing equipment shortages may reduce the risk of burnout among perioperative health care providers in low-resource settings, in addition to directly impacting the quality of care.","PeriodicalId":7799,"journal":{"name":"Anesthesia & Analgesia","volume":"38 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2025-08-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Burnout Syndrome Among Perioperative Healthcare Providers in Rwanda.\",\"authors\":\"Eugene Tuyishime,Chilombo Bould,Daniel I MacIsaac,Charles Nkurunziza,Christophe Mpirimbanyi,Felix Nduhuye,Matthew Pereira,Heather O'Reilly,M Dylan Bould\",\"doi\":\"10.1213/ane.0000000000007672\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"BACKGROUND\\r\\nMany studies address health care provider burnout in high-income countries; however, there is little data on burnout in low-income countries. Our objectives were (1) to estimate the prevalence of burnout among perioperative health care providers and (2) to explore factors associated with burnout among perioperative health care providers in Rwandan public hospitals.\\r\\n\\r\\nMETHODS\\r\\nA cross-sectional study using a survey was conducted among perioperative health care providers working in 22 public hospitals across Rwanda. We used a purposive sampling method to represent all regions (4 provinces and the capital Kigali) and types of public hospitals in Rwanda conducting surgery, excluding major teaching centers. We used the Maslach Burnout Inventory Human Services Survey (MBI_HSS), a validated 22-item survey including 3 dimensions of burnout: (1) emotional exhaustion (EE), (2) depersonalization (DP), and (3) personal achievement (PA). We estimated the prevalence of burnout using Wilson's method and we identified factors associated with burnout using a multivariate analysis.\\r\\n\\r\\nRESULTS\\r\\nThere were 221 responses from 402 surveys sent with a response rate of 53.7% including nurses 106 (47.9%), general practitioners 36 (16.3%), nonphysician anesthetists 33 (14.9%), midwives 25 (11.3%), and specialist surgeons and anesthesiologists 4 (1.8%). Forty-7 (21.3, 95% CI 16.1-27.3)% participants had burnout, 95 (42.9, 95 CI 36.6-49.6)% had high emotional exhaustion, 57 (25.8, 95 CI 20.5-31.9)% had low personal accomplishment, 15 (6.8, 95 CI 4.2-10.9)% had high depersonalization). Three major burnout profiles were identified among participants, including the overextended group 84 (38%), the engaged group 83 (37.6%), and the ineffective group 39 (17.6%). Among postulated predictors of burnout, only a lack of having the right equipment was strongly associated with burnout (adj-OR, 3.21; 95 CI, 1.18-8.73, P = .02).\\r\\n\\r\\nCONCLUSIONS\\r\\nOne in 5 perioperative health care providers in Rwanda report having burnout, which is consistent with previous data. This suggests that burnout is widespread across the Rwandan health care system, across different perioperative professions. The only factor that was associated with burnout was lack of access to essential equipment; however, other factors that have been identified in the literature, which are not statistically significant in this study, should not be overlooked. Addressing equipment shortages may reduce the risk of burnout among perioperative health care providers in low-resource settings, in addition to directly impacting the quality of care.\",\"PeriodicalId\":7799,\"journal\":{\"name\":\"Anesthesia & Analgesia\",\"volume\":\"38 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2025-08-04\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Anesthesia & Analgesia\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1213/ane.0000000000007672\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Anesthesia & Analgesia","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1213/ane.0000000000007672","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
摘要
背景:许多研究涉及高收入国家卫生保健提供者的职业倦怠;然而,低收入国家几乎没有关于职业倦怠的数据。我们的目标是(1)估计围手术期卫生保健提供者中职业倦怠的患病率;(2)探索卢旺达公立医院围手术期卫生保健提供者中职业倦怠的相关因素。方法对卢旺达22家公立医院的围手术期卫生保健提供者进行了一项横断面研究。我们采用有目的抽样方法,代表卢旺达所有地区(4个省和首都基加利)和开展手术的公立医院类型,不包括主要教学中心。我们使用了Maslach职业倦怠量表人力服务调查(MBI_HSS),这是一个经过验证的22项调查,包括3个维度的职业倦怠:(1)情绪耗竭(EE),(2)人格解体(DP)和(3)个人成就(PA)。我们使用威尔逊的方法估计了倦怠的患病率,并使用多变量分析确定了与倦怠相关的因素。结果402份问卷共收到221份回复,回复率为53.7%,其中护士106名(47.9%),全科医生36名(16.3%),非医师麻醉师33名(14.9%),助产士25名(11.3%),专科外科及麻醉师4名(1.8%)。47 (21.3, 95% CI 16.1-27.3)%的参与者有倦怠,95 (42.9,95 CI 36.6-49.6)%的参与者有高度情绪耗竭,57 (25.8,95 CI 20.5-31.9)%的参与者有低个人成就感,15 (6.8,95 CI 4.2-10.9)%的参与者有高度人格解体。在参与者中发现了三种主要的倦怠类型,包括过度延伸组84(38%),敬业组83(37.6%)和无效组39(17.6%)。在倦怠的假设预测因素中,只有缺乏合适的设备与倦怠密切相关(adjor, 3.21;95 ci, 1.18-8.73, p = 0.02)。结论卢旺达五分之一的围手术期卫生保健提供者报告有职业倦怠,这与以前的数据一致。这表明在卢旺达的卫生保健系统中,在不同的围手术期职业中,职业倦怠是普遍存在的。与倦怠相关的唯一因素是无法获得基本设备;然而,在文献中发现的其他因素,在本研究中没有统计学意义,也不应忽视。除了直接影响护理质量外,解决设备短缺问题还可以降低资源匮乏环境中围手术期卫生保健提供者的倦怠风险。
Burnout Syndrome Among Perioperative Healthcare Providers in Rwanda.
BACKGROUND
Many studies address health care provider burnout in high-income countries; however, there is little data on burnout in low-income countries. Our objectives were (1) to estimate the prevalence of burnout among perioperative health care providers and (2) to explore factors associated with burnout among perioperative health care providers in Rwandan public hospitals.
METHODS
A cross-sectional study using a survey was conducted among perioperative health care providers working in 22 public hospitals across Rwanda. We used a purposive sampling method to represent all regions (4 provinces and the capital Kigali) and types of public hospitals in Rwanda conducting surgery, excluding major teaching centers. We used the Maslach Burnout Inventory Human Services Survey (MBI_HSS), a validated 22-item survey including 3 dimensions of burnout: (1) emotional exhaustion (EE), (2) depersonalization (DP), and (3) personal achievement (PA). We estimated the prevalence of burnout using Wilson's method and we identified factors associated with burnout using a multivariate analysis.
RESULTS
There were 221 responses from 402 surveys sent with a response rate of 53.7% including nurses 106 (47.9%), general practitioners 36 (16.3%), nonphysician anesthetists 33 (14.9%), midwives 25 (11.3%), and specialist surgeons and anesthesiologists 4 (1.8%). Forty-7 (21.3, 95% CI 16.1-27.3)% participants had burnout, 95 (42.9, 95 CI 36.6-49.6)% had high emotional exhaustion, 57 (25.8, 95 CI 20.5-31.9)% had low personal accomplishment, 15 (6.8, 95 CI 4.2-10.9)% had high depersonalization). Three major burnout profiles were identified among participants, including the overextended group 84 (38%), the engaged group 83 (37.6%), and the ineffective group 39 (17.6%). Among postulated predictors of burnout, only a lack of having the right equipment was strongly associated with burnout (adj-OR, 3.21; 95 CI, 1.18-8.73, P = .02).
CONCLUSIONS
One in 5 perioperative health care providers in Rwanda report having burnout, which is consistent with previous data. This suggests that burnout is widespread across the Rwandan health care system, across different perioperative professions. The only factor that was associated with burnout was lack of access to essential equipment; however, other factors that have been identified in the literature, which are not statistically significant in this study, should not be overlooked. Addressing equipment shortages may reduce the risk of burnout among perioperative health care providers in low-resource settings, in addition to directly impacting the quality of care.