Dataset Information

Prevalence of and Factors Associated With Nurse Burnout in the US.

ABSTRACT:

Importance

Clinician burnout is a major risk to the health of the US. Nurses make up most of the health care workforce, and estimating nursing burnout and associated factors is vital for addressing the causes of burnout.

Objective

To measure rates of nurse burnout and examine factors associated with leaving or considering leaving employment owing to burnout.

Design, setting, and participants

This secondary analysis used cross-sectional survey data collected from April 30 to October 12, 2018, in the National Sample Survey of Registered Nurses in the US. All nurses who responded were included (N?=?3?957?661). Data were analyzed from June 5 to October 1, 2020.

Exposures

Age, sex, race and ethnicity categorized by self-reported survey question, household income, and geographic region. Data were stratified by workplace setting, hours worked, and dominant function (direct patient care, other function, no dominant function) at work.

Main outcomes and measures

The primary outcomes were the likelihood of leaving employment in the last year owing to burnout or considering leaving employment owing to burnout.

Results

The 3 957 661 responding nurses were predominantly female (90.4%) and White (80.7%); the mean (weighted SD) age was 48.7 (0.04) years. Among nurses who reported leaving their job in 2017 (n?=?418?769), 31.5% reported burnout as a reason, with lower proportions of nurses reporting burnout in the West (16.6%) and higher proportions in the Southeast (30.0%). Compared with working less than 20 h/wk, nurses who worked more than 40 h/wk had a higher likelihood identifying burnout as a reason they left their job (odds ratio, 3.28; 95% CI, 1.61-6.67). Respondents who reported leaving or considering leaving their job owing to burnout reported a stressful work environment (68.6% and 59.5%, respectively) and inadequate staffing (63.0% and 60.9%, respectively).

Conclusions and relevance

These findings suggest that burnout is a significant problem among US nurses who leave their job or consider leaving their job. Health systems should focus on implementing known strategies to alleviate burnout, including adequate nurse staffing and limiting the number of hours worked per shift.

SUBMITTER: Shah MK

PROVIDER: S-EPMC7862989 | biostudies-literature | 2021 Feb

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Prevalence of and Factors Associated With Nurse Burnout in the US.

Shah Megha K MK Gandrakota Nikhila N Cimiotti Jeannie P JP Ghose Neena N Moore Miranda M Ali Mohammed K MK

JAMA network open 20210201 2

<h4>Importance</h4>Clinician burnout is a major risk to the health of the US. Nurses make up most of the health care workforce, and estimating nursing burnout and associated factors is vital for addressing the causes of burnout.<h4>Objective</h4>To measure rates of nurse burnout and examine factors associated with leaving or considering leaving employment owing to burnout.<h4>Design, setting, and participants</h4>This secondary analysis used cross-sectional survey data collected from April 30 to ...[more]

PMID: 33538823

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Project description:Objectives:To assess the prevalence of burnout and associated factors among family medicine residents in Thailand. Materials and Methods:This cross-sectional study was conducted by all Thai Family Medicine residents year 1 to 3 during February 2019. Self-reported questionnaires, including demographic data, and the Thai version of the Maslach Burnout Inventory were distributed to 703 residents via electronic transmissions, including e-mail, Facebook, and Line instant communication application. Burnout was diagnosed by the following criteria: high-level emotional exhaustion, high-level depersonalization, and low-level personal accomplishment. Factors associated with burnout were explored by the univariate logistic regression model. Multivariate logistic regression analysis was applied to examine the independent risk factors of burnout among Thai Family Medicine residents. Results:There were 149 residents who participated in this study, with a response rate of 21% (n?=?703). As no residents diagnosed with burnout using the proposed criteria, burnout was, therefore, redefined as residents reporting high-level emotional exhaustion and high-level depersonalization. The prevalence of burnout in family medicine residents in this study was 10.74% (95% confidence interval [CI]: 6.26%-16.85%). Our study found that having relationship problems with patients, having relationship problems with colleagues, and having thought of resigning from the training program were independently associated with burnout with odds ratios of 6.93 (95% CI: 1.64-29.27), 6.31 (95% CI: 1.89-21.12), and 4.16 (95% CI: 1.09-15.81), respectively. Conclusions:Burnout at high level in emotional exhaustion and high level in depersonalization can occur among family medicine residents. Concerning factors were found to be patient and colleague relationship problems and having thought of resigning from the residency program. Other factors that may contribute to burnout were type of training programs, insufficient income, and family relationship. We recommend that the training institute should be able to monitor residents' stress level and to help prevent those who have burnout and reduce its impact.

Project description:ObjectiveTo evaluate the prevalence and possible factors associated with the development of burnout among medical students in the first years of undergraduate school.MethodA cross-sectional study was conducted at the Barretos School of Health Sciences, Dr. Paulo Prata. A total of 330 students in the first four years of medical undergraduate school were invited to participate in responding to the sociodemographic and Maslach Burnout Inventory-Student Survey (MBI-SS) questionnaires. The first-year group consisted of 150 students, followed by the second-, third-, and fourth-year groups, with 60 students each.ResultsData from 265 students who answered at least the sociodemographic questionnaire and the MBI-SS were analyzed (response rate = 80.3%). One (n = 1, 0.3%) potential participant viewed the Informed Consent Form but did not agree to participate in the study. A total of 187 students (187/265, 70.6%) presented high levels of emotional exhaustion, 140 (140/265, 52.8%) had high cynicism, and 129 (129/265, 48.7%) had low academic efficacy. The two-dimensional criterion indicated that 119 (44.9%) students experienced burnout. Based on the three-dimensional criterion, 70 students (26.4%) presented with burnout. The year with the highest frequency of affected students for both criteria was the first year (p = 0.001). Personal attributes were able to explain 11% (?R = 0.11) of the variability of burnout under the two-dimensional criterion and 14.4% (R2 = 0.144) under the three-dimensional criterion.ConclusionThis study showed a high prevalence of burnout among medical students in a private school using active teaching methodologies. In the first years of graduation, students' personal attributes (optimism and self-perception of health) and school attributes (motivation and routine of the exhaustive study) were associated with higher levels of burnout. These findings reinforce the need to establish preventive measures focused on the personal attributes of first-year students, providing better performance, motivation, optimism, and empathy in the subsequent stages of the course.

Project description:BackgroundBurnout causes personal suffering and adverse professional consequences. It is prevalent among medical students, although the relationship between burnout and lifestyle factors are understudied in Chinese medical students. Thus, this study aims to (i) estimate the prevalence of burnout among medical students in Hong Kong (HK) and (ii) delineate the relationship between burnout and various lifestyle factors.Method1,341 students were invited to complete a questionnaire from September to December 2017. Burnout was measured by the Maslach Burnout Inventory. Lifestyle factors including drinking habit, sleep habit and quality, and exercise level were assessed by validated instruments, including Alcohol Use Disorder Identification Test (AUDIT-C), Pittsburgh Sleep Quality Index (PSQI), and Godin-Shephard Leisure-Time Physical Activity (GSLTPA), respectively. Smoking status and use of self-medications were also inquired into, while demographic data was self-reported. Prevalence of burnout with confidence intervals was calculated. Difference in lifestyle and demographic data in students with or without burnout, were compared by t-test and Chi-square/Fisher's exact test. From this, all associations with significant p-value at p<0.1 were entered into the multiple logistic regression model.Results731 students (55.6%) responded to the questionnaire. Prevalence of burnout was 27.9% (95%CI: 24.6%-31.5%). Only 3 students in the whole sample smoked; and 6.6% of students drank weekly but rarely drank more than 2 drinks per week. 6.3% and 2.3% self-medicated themselves with medications to improve their sleep and concentration, respectively. Using a multiple logistic regression model, only sleep quality and exercise level were significantly associated with the presence of burnout.ConclusionAround a quarter of medical students in HK suffered from burnout. Burnout was found to be significantly associated with sleep quality and physical exercise. The study also highlighted that HK medical students lived very different lifestyles from those from other countries. More research is needed to design and establish the effectiveness of lifestyle interventional programs that enhance exercise level and sleep quality.

Dataset Information

Prevalence of and Factors Associated With Nurse Burnout in the US.

Importance

Objective

Design, setting, and participants

Exposures

Main outcomes and measures

Results

Conclusions and relevance

Publications

Prevalence of and Factors Associated With Nurse Burnout in the US.

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