| Literature DB >> 31480365 |
Cíntia de Lima Garcia1,2,3, Luiz Carlos de Abreu4,5,6,7, José Lucas Souza Ramos8, Caroline Feitosa Dibai de Castro8, Fabiana Rosa Neves Smiderle8, Jaçamar Aldenora Dos Santos1,8,9, Italla Maria Pinheiro Bezerra1,10,8,11.
Abstract
Background andEntities:
Keywords: Patient safety; burnout professional safety; organizational culture; safety management
Mesh:
Year: 2019 PMID: 31480365 PMCID: PMC6780563 DOI: 10.3390/medicina55090553
Source DB: PubMed Journal: Medicina (Kaunas) ISSN: 1010-660X Impact factor: 2.430
Figure 1Flow diagram of literature review.
Design of selected studies and location.
| Authors | Year | Country/Location | Method |
|---|---|---|---|
| Sexton et al. [ | 2018 | United States | Cross-sectional study |
| Johnson et al. [ | 2017 | United Kingdom | Cross-sectional study |
| Tawfik et al. [ | 2017 | United States | Cross-sectional study |
| Aiken et al. [ | 2017 | Belgium, England, Finland, Ireland, Spain, and Switzerland | Cross-sectional study |
| Gilles, Courvoisier, and Peytremann-Bridevaux [ | 2017 | Switzerland | Cross-sectional study |
| Vifladt et al. [ | 2016 | Norway | Cross-sectional study |
| Quillivan et al. [ | 2016 | United States | Cross-sectional study |
| Gerven et al. [ | 2016 | Belgium | Cross-sectional study |
| Welp, Meier, and Manser [ | 2016 | Switzerland | Longitudinal study |
| Garrouste-Orgeas et al. [ | 2015 | France | Prospective, observational, and multicentric Study |
| Profit et al. [ | 2014 | United States | Cross-sectional study |
| Bogaert et al. [ | 2014 | Belgium | Cross-sectional study |
| Sexton et al. [ | 2014 | United States | Cross-sectional study |
| Rathert et al. [ | 2012 | United States | Cross-sectional study |
| Holden et al. [ | 2011 | United States | Cross-sectional study |
| Teng et al. [ | 2010 | Taiwan | Cross-sectional study |
| Halbesleben et al. [ | 2008 | United States | Cross-sectional study |
| Williams et al. [ | 2007 | United States | Cross-sectional study |
| Spence Laschinger and Leiter [ | 2006 | Canada | Cross-sectional study |
Studies selected, objectives and main results.
| Authors | Objective | Main Results |
|---|---|---|
| Sexton et al. [ | Evaluate the associations between receiving comments on actions taken as a result of the patient safety visit routine walk rounds (WR) and health worker assessments of patient safety culture, employee involvement, burnout, and work–life balance life. | Feeling as if health professionals have minimal control over quality of care through patient safety visit routine walk rounds (WR) can reduce their own perceptions of burnout, for example, that they are working too hard or feeling frustrated at work. These findings indicate that feedback WR may provide a significant opportunity to reduce fatigue. |
| Johnson et al. [ | To investigate the relationships between depressive symptoms, burnout, and patient safety perceptions. | When tested in separate analyses, depressive symptoms and facets of burnout were associated with patient safety measures. In addition, the proposed mediation model was supported, with associations between depressive symptoms and patient safety perceptions fully mediated by burnout. |
| Tawfik et al. [ | To examine the prevalence of burnout among California’s neonatal intensive care units (NICUs) and test the relationship between infection due to burnout and healthcare associated infections (HAI) rates in very low birth weight infants (VLBW). | Variable prevalence of burnout was found in the surveyed NICUs (mean 25.2 ± 10.1%). HAI rates were 8.3 ± 5.1% during the study period. The highest prevalence of burnout was found among nursing professionals and respiratory therapists, day shift workers, and workers with five or more years of service. |
| Aiken et al. [ | To determine the association of hospital nursing skill mixed with patient mortality, care patient assessments, and quality of care indicators. | In a standard hospital, almost 30% of nurses scored high on the burnout scale, and a similar percentage expressed dissatisfaction with their jobs. |
| Gilles, Courvoisier, and Peytremann-Bridevaux [ | To qualitatively analyze the open comments included in a job satisfaction survey and align these with quantitative results. | About a third of the comments addressed scheduling issues, mainly related to change-related problems and exhaustion, work–life balance, difficulties with colleagues’ absences, and the consequences for quality of care and patient safety. While some comments were provided equally by all professional groups, others were group-specific, as follows: work pressures and hierarchy observed by physicians, quality of health and patient safety noted by nurses, and skill recognition mentioned by administrative staff. |
| Vifladt et al. [ | Examine the relationship between the perception of registered nurses (RNs) on patient safety culture, burnout, and sense of coherence, and compare burnout and the sense of coherence in ICUs restructured and not restructured. | A positive safety culture was statistically significantly associated with a low burnout score and a strong sense of coherence. No statistically significant differences were found in burnout and sense of coherence between restructured and non-restructured ICUs. |
| Quillivan et al. [ | To evaluate the influence of patient safety culture on the distress related to the second victim. | Of the 358 nurses from a specialized pediatric hospital, 169 (47.2%) completed two surveys (patient safety culture and the second victim experience and support tool). Hierarchical linear regression demonstrated that the size of the patient safety culture survey and non-positive response to error was significantly associated with reductions in the second victim’s psychological, physical, and occupational survey dimensions ( |
| Gerven et al. [ | To investigate the prevalence of health professionals personally involved in a patient safety incident (PSI), as well as the relationship of involvement and degree of harm with problematic medication use, excessive alcohol consumption, risk of burnout, work–home interference (WHI), and turnover intentions | Nine percent of the total sample was involved in an PSI during the previous 6 months. Involvement in a PSI was related to a higher risk of burnout (β = 0.40, OR = 2.07), to problematic drug use (β = 0.33, OR = 1.84), to higher WHI (β = 0.24), and higher turnover intentions (β = 0.22). Injury to the patient was a predictor of problematic medication use (β = 0.14, OR = 1.56), risk of burnout (β = 0.16, OR = 1.62), and WHI (β = 0.19). |
| Welp, Meier, and Manser [ | The study focused on the long-term development of teamwork, emotional exhaustion, and patient safety in interprofessional intensive care teams, exploring the causal relationships between these constructs. A secondary objective was to break down the effects of interpersonal and cognitive behavioral teamwork. | Emotional exhaustion had a lagged effect on interpersonal teamwork. In addition, interpersonal and cognitive behavioral teamwork influenced each other. Finally, cognitive behavioral teamwork predicted clinician-rated patient safety. |
| Garrouste-Orgeas et al. [ | To assess whether burnout, depression symptoms, and safety culture affect the frequency of medical errors and adverse events in ICUs. | The symptoms of depression were an independent risk factor for medical errors. Burnout was not associated with medical errors. The safety culture score had a limited influence on medical errors. Other independent risk factors for medical errors or adverse events were related to ICU organization (40% of ICU staff out of work the day before), staff (safety-specific training), and patients (workload). |
| Profit et al. [ | Examine the relationships between burnout in neonatal intensive care units (NICUs) and patient safety culture. | The percentage of participants in each NICU reporting burnout ranged from 7.5% to 54.4%. Burnout varied significantly between NICUs, |
| Bogaert et al. [ | Investigate the impact of factors of the nurse’s practice environment, nurse work characteristics, and nurse burnout reported work outcomes, quality of care, and patient adverse event variables at the nursing unit level. | Several unit-level associations (simple models) were identified between factors of the nurse’s practice environment, nurse’s work characteristics, burnout dimensions, and outcome variables reported by the nurse. Multiple multilevel models showed several independent variables, such as unit-level nursing management, social capital, emotional exhaustion, and depersonalization, as important predictors of nurse-reported outcome variables, such as job satisfaction, turnover intentions, quality, patient and family complaints, patient and family verbal abuse, patient falls, nosocomial infections, and medication errors. |
| Sexton et al. [ | Compare stress perceptions and intensity among hospital shift nurses across three countries: Israel, USA (Ohio State), and Thailand. | The patient safety leadership walk rounds tool has been associated with improved safety culture outcomes and lower NICU burnout rates. |
| Rathert et al. [ | Based on the resource conservation theory, the study examined a conceptual model that links the job environment with alternative solutions in acute care nurses and other clinicians, and the hypothesis that burnout (specifically emotional exhaustion) intervene this relationship. | The hypotheses were examined using structural equation modeling. Time pressure was positively related to exhaustion, and autonomy was negatively related. Exhaustion was positively related to alternative solutions and mediated the time pressure and autonomy for alternative solution relations. Contrary to expectations, the physical environment was directly and negatively related to alternative solutions. |
| Holden et al. [ | This study sought to measure the effect of workload on safety and outcomes of workers in two pediatric hospitals using a new approach to workload measurement. | Pharmacists and pharmacy technicians reported high levels of external and internal mental demands during dispensation. The study supported the hypothesis that external demands (interruptions, divided attention, and running) negatively impacted medication safety and employee welfare outcomes. However, as hypothesized, increasing levels of internal demands (concentration and effort) were not associated with a higher perceived probability of error, adverse drug events, or burnout, and even had a positive effect on job satisfaction. |
| Teng et al. [ | Investigate how time pressure and the interaction of nurse’s time pressure and burnout affect patient safety. | While regression analysis results suggest that time pressure did not significantly affect patient safety (β = −0.0, |
| Halbesleben et al. [ | To analyze the relationship between burnout and patient safety indicators in nurses. | After controlling for work-related demographics, multiple regression analysis supported the prediction that burnout was associated with perceived lower patient safety. Burnout was not associated with event reporting behavior but was negatively associated with reporting errors that did not lead to adverse events. |
| Williams et al. [ | To investigate the cultural conditions that affect medical stress, dissatisfaction, and burnout syndrome by examining whether they offer poor quality of care. | Cultural emphasis on quality played a key role in quality outcomes. In addition, it was found that stressed and dissatisfied doctors report a higher probability of making mistakes and more frequent cases of sub-optimal patient care, associating this result with burnout syndrome. |
| Spence Laschinger and Leiter [ | To test a theoretical model of professional nursing environments linking the conditions of professional nursing practice to burnout, and subsequently, to patient safety outcomes. | Nursing leadership played a key role in the quality of working life in relation to political involvement, staffing levels, support for a nursing care model (vs. physician), and nurse/physician relationships. Staff adequacy directly affected emotional exhaustion, and the use of a nursing care model had a direct effect on nurses’ personal fulfillment. Both directly affected patient safety outcomes. |
Figure 2Meta-analysis: random effects.
Meta-analysis of proportions.
| Study | ES | 95% Conf. Interval | %Weight | |
|---|---|---|---|---|
| Sexton et al. [ | 0.32 | 0.32 | 0.33 | 4.84 |
| Johnson et al. [ | 0.77 | 0.73 | 0.82 | 4.78 |
| Tawfik et al. [ | 0.72 | 0.70 | 0.74 | 4.83 |
| Aiken et al. [ | 0.77 | 0.76 | 0.78 | 4.84 |
| Gilles. Courvoisier. and Peytremann-Bridevaux [ | 0.42 | 0.41 | 0.44 | 4.84 |
| Vifladt et al. [ | 0.49 | 0.44 | 0.55 | 4.74 |
| Quillivan et al. [ | 0.47 | 0.42 | 0.52 | 4.76 |
| Gerven et al. [ | 0.52 | 0.51 | 0.53 | 4.84 |
| Welp. Meier. and Manser [ | 0.71 | 0.69 | 0.73 | 4.83 |
| Garrouste-Orgeas et al. [ | 0.52 | 0.50 | 0.55 | 4.82 |
| Profit et al. [ | 0.51 | 0.49 | 0.53 | 4.83 |
| Bogaert et al. [ | 0.72 | 0.69 | 0.75 | 4.82 |
| Sexton et al. [ | 0.72 | 0.70 | 0.74 | 4.83 |
| Rathert et al. [ | 0.50 | 0.47 | 0.53 | 4.81 |
| Holden et al. [ | 0.73 | 0.67 | 0.78 | 4.73 |
| Teng et al. [ | 0.49 | 0.44 | 0.53 | 4.77 |
| Halbesleben et al. [ | 0.50 | 0.40 | 0.60 | 4.55 |
| Williams et al. [ | 0.59 | 0.54 | 0.63 | 4.77 |
| Spence Laschinger and Leiter [ | 0.70 | 0.69 | 0.71 | 4.84 |
| Random pooled ES | 0.60 | 0.51 | 0.68 | 100.0 |
Heterogeneity chi^2 = 9815.67 (d.f. = 20) p = 0.000. I^2 (variation in ES attributable to heterogeneity) = 9980%. Estimate of between study variance Tau^2 = 0.04 Test of ES = 0; z = 13.73; p = 0.00.
Figure 3Metabias. SDN: Standard deviation.