Professional burnout among physicians and nurses in Asian intensive care units: a multinational survey

See, Kay Choong; Zhao, Ming; Nakataki, Emiko; Chittawatanarat, Kaweesak; Fang, Wen‐Feng; Faruq, Mohammad Omar; Wahjuprajitno, Bambang; Arabi, Yaseen M.; Wong, Wai Tat; Divatia, Jigeeshu Vasishtha; Palo, Jose Emmanuel; Shrestha, Babu Raja; Nafees, Khalid Mahmood Khan; Binh, Nguyen Gia; Rahma, Hussain N. Al; Detleuxay, Khamsay; Ong, Venetia; Phua, Jason; Investigators, Saba Study

doi:10.1007/s00134-018-5432-1

Cited by 83 publications

(90 citation statements)

References 39 publications

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“…From a geographical perspective, the largest (and more recent) study found in our search was a continental Asian survey containing data on 992 physicians with a high response rate (above 75%). ( 36 ) Brazil and France had the greatest number of studies investigating burnout in ICU physicians (four ( 37 - 40 ) and three ( 41 - 43 ) publications, respectively), followed by Italy with two studies. ( 44 , 45 ) The other seven studies included ICU physicians working in the United States, ( 46 ) Austria, ( 35 ) Greece, ( 47 ) Portugal, ( 48 ) United Kingdom, ( 34 ) Switzerland ( 49 ) and Argentina.…”

Section: Resultsmentioning

confidence: 99%

Prevalence of burnout among intensive care physicians: a systematic review

Sanfilippo¹,

Palumbo²,

Noto³

et al. 2020

Revista Brasileira De Terapia Intensiva

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Objective We performed a systematic review to summarize the knowledge regarding the prevalence of burnout among intensive care unit physicians. Methods We conducted a systematic review of the MEDLINE and PubMed® databases (last update 04.02.2019) with the goal of summarizing the evidence on burnout among intensive care unit physicians. We included all studies reporting burnout in intensive care unit personnel according to the Maslach Burnout Inventory questionnaire and then screened studies for data on burnout among intensive care unit physician specifically. Results We found 31 studies describing burnout in intensive care unit staff and including different healthcare profiles. Among these, 5 studies focused on physicians only, and 12 others investigated burnout in mixed intensive care unit personnel but provided separate data on physicians. The prevalence of burnout varied greatly across studies (range 18% - 49%), but several methodological discrepancies, among them cut-off criteria for defining burnout and variability in the Likert scale, precluded a meaningful pooled analysis. Conclusion The prevalence of burnout syndrome among intensive care unit physicians is relatively high, but significant methodological heterogeneities warrant caution being used in interpreting our results. The lower reported levels of burnout seem higher than those found in studies investigating mixed intensive care unit personnel. There is an urgent need for consensus recommending a consistent use of the Maslach Burnout Inventory test to screen burnout, in order to provide precise figures on burnout in intensive care unit physicians.

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Section: Resultsmentioning

confidence: 99%

Prevalence of burnout among intensive care physicians: a systematic review

Sanfilippo¹,

Palumbo²,

Noto³

et al. 2020

Revista Brasileira De Terapia Intensiva

View full text Add to dashboard Cite

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“…The high prevalence and levels of nurses' job burnout have been reported in many countries. A recent study has elucidated that 53.8% of nurses in Portugal have moderate job burnout (Duarte & Pinto-Gouveia, 2017), and another study on Asian nurses has shown that 61.5% of them experience job burnout (See et al, 2018). In the United States, moderate levels of burnout (54.1%) are prevalent among emergency department nurses (Hunsaker, Chen, Maughan, & Heaston, 2015).…”

Section: Discussionmentioning

confidence: 99%

“…Nursing care is a detailed work with great responsibility, and it requires nurses to have good physical and psychological states (Lewko, Misiak, & Sierżantowicz, 2019). Nurses with job burnout cannot invest enough energy in clinical work, identify health care error in time and provide safe and quality patient care, which might lead to adverse patient outcomes (Choi et al, 2018;See et al, 2018;Wu et al, 2016). Furthermore, burnout could affect nurses' career advancement.…”

Section: Discussionmentioning

confidence: 99%

Job burnout and quality of working life among Chinese nurses: A cross‐sectional study

Wang

Qian

et al. 2019

J Nurs Manag

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Aim To explore the relationship between job burnout and quality of working life, and identify influencing factors of nurses' quality of working life. Background Understanding the influencing factors of quality of working life is important to improve nursing retention strategies. Job burnout can negatively influence work efficiency and quality of work. However, studies examining the association between the two remain limited. Methods The cross‐sectional survey of 2,504 nurses was performed in Eastern China. Nurses were invited to complete self‐report questionnaires online. The collected data were analysed using Pearson's correlation and multiple regression. Results About 64.0% of nurses experienced job burnout, and their quality of working life was at a moderate level. Job burnout, hospital level, age, income, night shift and patient‐to‐nurse ratio were significant factors of quality of working life. Conclusion Job burnout has a negative effect on nurses' quality of working life. Some demographic and work‐related factors should be considered when developing interventions to improve nurses' quality of working life. Implications for Nursing Management Hospital and nurses managers should develop strategies to reduce nurses' job burnout and enhance their quality of working life, such as optimum nurse staffing, offer reasonable pecuniary compensation and establish an appropriate shift work schedule.

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“…4 Employees who repeatedly overextend themselves to sustain high-quality care are at increased risk of fatigue and burnout. [5][6][7] Although burnout is a recognized risk among registered nurses (RNs), 8 financial pressures compel hospitals to maximize the number of patients served without increasing payroll. 9 Hospital leaders find themselves in search of pragmatic solutions to manage competing priorities of cost, clinician work experience, patient experience, and outcomes.…”

Section: Background and Significancementioning

confidence: 99%

Registered Nurse Strain Detection Using Ambient Data: An Exploratory Study of Underutilized Operational Data Streams in the Hospital Workplace

et al. 2020

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Background Registered nurses (RNs) regularly adapt their work to ever-changing situations but routine adaptation transforms into RN strain when service demand exceeds staff capacity and patients are at risk of missed or delayed care. Dynamic monitoring of RN strain could identify when intervention is needed, but comprehensive views of RN work demands are not readily available. Electronic care delivery tools such as nurse call systems produce ambient data that illuminate workplace activity, but little is known about the ability of these data to predict RN strain. Objectives The purpose of this study was to assess the utility of ambient workplace data, defined as time-stamped transaction records and log file data produced by non-electronic health record care delivery tools (e.g., nurse call systems, communication devices), as an information channel for automated sensing of RN strain. Methods In this exploratory retrospective study, ambient data for a 1-year time period were exported from electronic nurse call, medication dispensing, time and attendance, and staff communication systems. Feature sets were derived from these data for supervised machine learning models that classified work shifts by unplanned overtime. Models for three timeframes —8, 10, and 12 hours—were created to assess each model's ability to predict unplanned overtime at various points across the work shift. Results Classification accuracy ranged from 57 to 64% across three analysis timeframes. Accuracy was lowest at 10 hours and highest at shift end. Features with the highest importance include minutes spent using a communication device and percent of medications delivered via a syringe. Conclusion Ambient data streams can serve as information channels that contain signals related to unplanned overtime as a proxy indicator of RN strain as early as 8 hours into a work shift. This study represents an initial step toward enhanced detection of RN strain and proactive prevention of missed or delayed patient care.

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Professional burnout among physicians and nurses in Asian intensive care units: a multinational survey

Cited by 83 publications

References 39 publications

Prevalence of burnout among intensive care physicians: a systematic review

Prevalence of burnout among intensive care physicians: a systematic review

Job burnout and quality of working life among Chinese nurses: A cross‐sectional study

Registered Nurse Strain Detection Using Ambient Data: An Exploratory Study of Underutilized Operational Data Streams in the Hospital Workplace

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