One-year trial of 12-hour shifts in a non-intensive care unit and an intensive care unit in a public hospital: a qualitative study of 24 nurses' experiences

Intensity of Interprofessional Collaboration and related factors in Intensive Care Units. A descriptive cross-sectional study with an analytical approach

OBJECTIVE

To determine the Intensity of Collaboration between the intensive care professionals of a third level hospital.

METHOD

Descriptive cross-sectional study with an analytical approach.

SETTING

6 intensive care units of a third level hospital.

SAMPLE

nurses and doctors. Consecutive type non-probabilistic sampling.

DATA COLLECTION

sociodemographic, economic, motivation and professional satisfaction variables, and the intensity of collaboration using the "Scale of Intensity of Interprofessional Collaboration in Health."

RESULTS

A total of 102 health professionals (91 nurses and 11 doctors) were included. The mean overall Intensity of Collaboration (IoC) was moderate. Men showed higher scores in all factors (p<.05). The IoC global score was higher in the group of professionals with ≤10 years of experience (p=.043) and those who were highly satisfied with the profession (p=.037). Physicians presented higher scores in the global IdC (p=.037) and in the Collaboration mean (p=.020) independently in the multivariate models. A negative linear relationship (rho: -0,202, p=.042) was observed between age and the overall IoC score. Professionals aged ≤30years reported a higher perception of Shared Activities (p=.031). Negative linear relationships were observed between years of experience and total IoC score (rho: -0,202, p=.042) and patients' Perception score (rho: -0.241, p=0.015). The research activity also showed to be a variable related to a greater degree of Collaboration at a global level and in some of the factors (p<.05). The scale of IoC obtained a Cronbach's α of 0,9.

CONCLUSIONS

The intensity of interprofessional collaboration in ICUs is moderate. Professionals with experience of ≤10 years, a higher level of satisfaction and participation in research activities show a greater intensity of collaboration. Doctors perceive collaboration more intensely than nurses. All factors contribute equally to the internal consistency of the questionnaire.

Health-promoting work schedules among nurses and nurse assistants in France: results from nationwide AMADEUS survey

BACKGROUND

The study aimed to investigate the relationship between different work schedules and self-reported working conditions and health risk behaviours among nurses and nurse assistants (NNA) in France. It hypothesized that work schedules, particularly long shifts, could impact work-life balance, workload, stress levels, burnout, and smoking habits. NNA had the option to work either with a 7-hour schedule, 5 days per week, or with long work schedules consisting of ten to twelve-hour shifts, three days per week. These schedules could potentially influence various aspects of their professional lives.

METHODS

The survey followed the guidelines of the Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) Statement and was administered to NNA working in public and private national healthcare facilities in France. The researchers used the Job Content Questionnaire to assess the work environment and the French version of the 22-item Maslach Burnout Inventory (MBI) scale to measure burnout.

RESULTS

A total of 3,133 NNA participated in the study, including 2,369 nurses (75.6%) and 764 nurse assistants (24.4%). Among them, 1,811 individuals (57.8%) followed a 7-hour work schedule, while 1,322 individuals (42.2%) had a long work schedule. Multivariate analyses revealed that NNA working with long schedules reported higher psychological demands, more frequent burnout, a higher number of daily smoked cigarettes, and greater coffee consumption. These findings were independent of other factors such as sector of employment, type of healthcare facility, job status, work schedules, night shifts, department specialty, age, and family responsibilities.

CONCLUSIONS

While some NNA may choose long schedules to have more days off, those working with these schedules experience greater work-related burdens and engage in worse health risk behaviours as a coping mechanism. It emphasizes the importance of considering health-promoting work schedules to address the high psychological demands and burnout experienced by NNA with long schedules. Implementing changes in work schedules could potentially improve the overall well-being and job satisfaction of these healthcare professionals.

The Effects of Work Satisfaction and Work Flexibility on Burnout in Nurses

BACKGROUND

The World Health Organization has encouraged improving working conditions for nurses to decrease turnover and increase nurse staffing and nursing capacity. The International Council of Nurses has pointed out that a positive work environment can improve satisfaction and decrease burnout in nurses. However, the effects of working conditions and work satisfaction on burnout in nurses remain unclear.

PURPOSE

The purpose of this study was to explore the effects of working-condition-related flexibility and work satisfaction on burnout in nurses.

METHODS

A cross-sectional design was employed, and 450 nurses from a single medical center participated in this study. In addition to demographic information, three survey instruments, including the Taiwanese Hospital Nurses' Job Satisfaction Scale, the Working Conditions and Flexible System Scale, and the Maslach Burnout Inventory-Chinese Version, were used to measure working condition flexibility, work satisfaction, and burnout. Descriptive statistics, the Pearson correlation coefficient, and hierarchical linear regression were used to analyze the data.

RESULTS

Four hundred thirty-five nurses were enrolled as participants. Most were female, with a mean age of 29 years. Over four fifths (83.1%) were unmarried, and 65.5% had at least 2 years of prior experience working at other hospitals. Although the participants reported experiencing burnout several times per month, they reported feeling satisfied with their work. They noted flexibility related to working conditions, especially task-related flexibility, as important. Four variables (satisfaction/professional autonomy, interpersonal interaction, workload, and working condition flexibility/task flexibility) were found to be significant predictors of emotional exhaustion (adjusted R2 = 0.212). However, only professional autonomy was found to significantly predict a sense of low personal accomplishment (adjusted R2 = .077), whereas nursing competence significantly predicted depersonalization (adjusted R2 = .086).

CONCLUSIONS

Work satisfaction and flexibility related to working conditions were shown to relate negatively to burnout. Nursing managers should improve the level of satisfaction related to professional autonomy, interpersonal interaction, and workload as well as task flexibility for nurses.

Nurses' perceptions of night shifts: A qualitative study

AIM

To describe the experiences and perceptions of emergency nurses regarding the shortening of night shifts and identify aspects of nurses' preferences for night shifts.

BACKGROUND

Shift work can be associated with distinct physical and psychological disadvantages for nurses, especially night nurses. Knowledge regarding the factors influencing their perceptions of night shifts is limited.

METHODS

A qualitative description design. Fifteen nurses from the emergency setting with 6 to 14 years of work experience participated in interviews. Semistructured interviews were conducted between November 2018 and March 2019. A thematic analysis was performed for the data analysis.

FINDINGS

The following three themes emerged: (1) maintaining quality within quantity, (2) maintaining comfort within busyness, and (3) buffering the gap between ideal and reality.

CONCLUSIONS

Considering work intensity and patient safety, nurses believe that an 8 h night shift is the most suitable length for the emergency department. Long shifts are probably more suitable for other departments with lower night workloads.

Because they're worth it? A discussion paper on the value of 12-h shifts for hospital nursing

The organisation of the 24-h day for hospital nurses in two 12-h shifts has been introduced with value propositions of reduced staffing costs, better quality of care, more efficient work organisation, and increased nurse recruitment and retention. While existing reviews consider the impact of 12-h shifts on nurses' wellbeing and performance, this discussion paper aims to specifically shed light on whether the current evidence supports the value propositions around 12-h shifts. We found little evidence of the value propositions being realised. Staffing costs are not reduced with 12-h shifts, and outcomes related to productivity and efficiency, including sickness absence and missed nursing care are negatively affected. Nurses working 12-h shifts do not perform more safely than their counterparts working shorter shifts, with evidence pointing to a likely negative effect on safe care due to increased fatigue and sleepiness. In addition, nurses working 12-h shifts may have access to fewer educational opportunities than nurses working shorter shifts. Despite some nurses preferring 12-h shifts, the literature does not indicate that this shift pattern leads to increased recruitment, with studies reporting that nurses working long shifts are more likely to express intention to leave their job. In conclusion, there is little if any support for the value propositions that were advanced when 12-h shifts were introduced. While 12-h shifts might be here to stay, it is important that the limitations, including reduced productivity and efficiency, are recognised and accepted by those in charge of implementing schedules for hospital nurses.

Associations Among Nurses' Mental/Physical Health, Lifestyle Behaviors, Shift Length, and Workplace Wellness Support During COVID-19: Important Implications for Health Care Systems

Work cultures supportive of wellness and shorter shift length have been associated with better mental/physical health outcomes in nurses, but how the coronavirus disease-19 (COVID-19) pandemic impacted such outcomes is not known. This study's aims were to (1) describe the mental/physical health, well-being, and healthy lifestyle behaviors of nurses during the pandemic; (2) explore the pandemic's impact on their health and healthy lifestyle behaviors; and (3) determine the associations of perceived workplace wellness support and shift length with nurses' health, well-being, and healthy lifestyle behaviors. A cross-sectional descriptive design was used with 264 nurses associated with Trusted Health. Nurses completed a survey containing valid and reliable scales measuring depression, anxiety, burnout and quality of life, perceived wellness culture, and healthy lifestyle behaviors. Results indicated that more than 50% of nurses had worsening mental/physical health relating to the pandemic. Compared with nurses whose workplaces provided little/no wellness support, nurses with workplaces that supported their wellness were 3 to 9 times as likely to have better mental/physical health, no/little stress, no burnout, and high quality of life. Nurses who worked longer shifts had poorer health outcomes. These findings indicate that workplace wellness support and shorter shifts positively impacted nurse mental/physical health and professional quality of life amidst the pandemic.

The effects of three consecutive 12-hour shifts on cognition, sleepiness, and domains of nursing performance in day and night shift nurses: A quasi-experimental study

BACKGROUND

Healthcare systems have widely adopted consecutive 12 h day and night shifts for nurses, but the effects of these shifts on cognition, sleepiness, and nursing performance remains understudied.

OBJECTIVE

To determine the extent of changes in cognition and sleepiness in nurses working three consecutive 12 h shifts, quantify the respective impacts of these changes on different aspects of nursing performance, and investigate individual differences in all measures.

DESIGN

A quasi-experimental, between-within design collected data from nurses between November 2018 and March 2020. The between-groups component was comprised of day shift nurses vs. night shift nurses, while the within-groups component was comprised of two separate test sessions for each nurse: one immediately following a third consecutive shift (fatigued) and one after three consecutive days off work (rested).

SETTING

Participants were tested in a northwestern US university's nursing simulation laboratory.

PARTICIPANTS

A volunteer sample of 94 registered nurses involved in direct patient care working 12 h shifts were recruited from two local hospitals.

METHODS

Simulated nursing performance was measured in seven separate domains and an aggregate score from the Creighton Competence and Evaluation Inventory, covering both lower- and higher-level constructs like procedural skills, assessment, decision-making, etc. Cognition and sleepiness were assessed through measures of sustained attention, predicted cognitive effectiveness, and subjective sleepiness.

RESULTS

In our 94 nurses, individual differences in all our measures varied from trivial to extensive. For six domains of performance and the aggregate score there were no significant differences in means across groups or conditions. For the seventh, Communication skills were lower for night nurses than day nurses, but this effect was small. After three consecutive shifts, sustained attention and predicted cognitive effectiveness decreased, and subjective sleepiness increased. Predicted cognitive effectiveness was particularly low for fatigued night nurses relative to other conditions and was positively correlated with Communication while controlling for other predictors.

CONCLUSIONS AND RELEVANCE

Nurses maintained their levels of performance for all domains after three consecutive shifts. Individual differences in predicted cognitive effectiveness could account for variation in performance by shift type for Communication skills but for no other domain of performance. Communication skills and predicted cognitive effectiveness may interest researchers in the development of fatigue-mitigation strategies for night nurses, but our findings also suggest that more sensitive measures of performance may be necessary to capture other meaningful effects of long, consecutive shifts-if any-on patient care. Tweetable abstract: The effects of three consecutive 12 h shifts on cognition, sleepiness, and domains of nursing performance in day and night shift nurses: A quasi-experimental study.

Nurses' experiences and preferences around shift patterns: A scoping review

Objective

To explore the evidence on nurses’ experiences and preferences around shift patterns in the international literature.

Data sources

Electronic databases (CINHAL, MEDLINE and Scopus) were searched to identify primary studies up to April 2021.

Methods

Papers reporting qualitative or quantitative studies exploring the subjective experience and/or preferences of nurses around shift patterns were considered, with no restrictions on methods, date or setting. Key study features were extracted including setting, design and results. Findings were organised thematically by key features of shift work.

Results

30 relevant papers were published between 1993 and 2021. They contained mostly qualitative studies where nurses reflected on their experience and preferences around shift patterns. The studies reported on three major aspects of shift work: shift work per se (i.e. the mere fact of working shift), shift length, and time of shift. Across all three aspects of shift work, nurses strive to deliver high quality of care despite facing intense working conditions, experiencing physical and mental fatigue or exhaustion. Preference for or adaptation to a specific shift pattern is facilitated when nurses are consulted before its implementation or have a certain autonomy to self-roster. Days off work tend to mitigate the adverse effects of working (short, long, early or night) shifts. How shift work and patterns impact on experiences and preferences seems to also vary according to nurses’ personal characteristics and circumstances (e.g. age, caring responsibilities, years of experience).

Conclusions

Shift patterns are often organised in ways that are detrimental to nurses’ health and wellbeing, their job performance, and the patient care they provide. Further research should explore the extent to which nurses’ preferences are considered when choosing or being imposed shift work patterns. Research should also strive to better describe and address the constraints nurses face when it comes to choice around shift patterns.

Caring behaviors, moral sensitivity, and emotional intelligence in intensive care nurses: A descriptive study

PURPOSE

To evaluate the relationship of caring behaviors with moral sensitivity, emotional intelligence and descriptive characteristics in intensive care nurses.

METHOD

Descriptive study. The sample of this study consisted of 156 nurses. The data were collected using introductory information form, caring behaviors inventory, moral sensitivity questionnaire, and emotional intelligence scale. The factors affecting caring behavior were determined using stepwise multiple linear regression.

FINDING

It was determined that high education level, working in shifts, as well as appraisal of emotion subscale of emotional intelligence scale and also autonomy, expressing benevolence, and following praxis subscales of moral sensitivity questionnaire were high predictors for caring behaviors.

PRACTICE IMPLICATIONS

Descriptive characteristics, moral sensitivity, and emotional intelligence are related to high caring behavior in intensive care nurses.

The association between 12-hour shifts and nurses-in-charge's perceptions of missed care and staffing adequacy: a retrospective cross-sectional observational study

Background

Due to worldwide nursing shortages and difficulty retaining staff, long shifts for nursing staff (both registered nurses and nursing assistants) working in hospitals have been adopted widely. Because long shifts reduce the daily number of shifts from three to two, many assume that long shifts improve productivity by removing one handover and staff overlap. However, it is unclear whether staffing levels are more likely to be perceived as adequate when more long shifts are used.

Objectives

To investigate the association between the proportion of long (≥12‐hour) shifts worked on a ward and nurses-in-charge's perceptions that the staffing level was sufficient to meet patient need.

Methods

A retrospective cross-sectional study using routinely collected data (patient administrative data and rosters) linked to nurses-in-charge's reports from 81 wards within four English hospitals across 1 year (2017). Hierarchical logistic regression models were used to determine associations between the proportion of long shifts and nurses-in-charge's reports of having enough staff for quality or leaving necessary nursing care undone, after controlling for the staffing level relative to demand (shortfall). We tested for interactions between staffing shortfall and the proportion of long shifts.

Results

The sample comprised 19648 ward days. On average across wards, 72% of shifts were long. With mixed short and long shifts, the odds of nurses-in-charge reporting that there were enough staff for quality were 14-17% lower than when all shifts were long. For example, the odds of reporting enough staff for quality with between 60-80% long shifts was 15% lower (95% confidence interval 2% to 27%) than with all long shifts. Associations with nursing care left undone were consistent with this pattern. Although including interactions between staffing shortfalls and the proportion of long shifts did not improve model fit, the effect of long shifts did appear to differ according to shortfall, with lower proportions of long shifts associated with benefits when staffing levels were high relative to current norms.

Conclusions

Rather than a clear distinction between wards using short and long shifts, we found that a mixed pattern operated on most days and wards, with no wards using all short shifts. We found that when wards use exclusively long shifts rather than a mixture, nurses-in-charge are more likely to judge that they have enough staff. However, the adverse effects of mixed shifts on perceptions of staffing adequacy may be reduced or eliminated by higher staffing levels.

ISRCTN 12307968.

Tweetable abstract

12-hour shifts in nursing: a mix of short and long shifts may be worse than all long shifts.

Chronic and acute fatigue and intershift recovery in undergraduate nursing students working 12 or 6-hour faculty-supervised clinical shifts

BACKGROUND

Nursing student fatigue and recovery time are important considerations.

PURPOSE

This descriptive research compared chronic/acute fatigue and recovery time between one 12-hour shift or two 6-hour faculty-supervised clinical shifts per week.

METHODS

The Occupational Fatigue and Exhaustion Recovery (OFER) scale was completed by undergraduate students in pediatric and obstetrical courses.

RESULTS

The student (N = 106) mean score on OFER was 37.57 for chronic fatigue, 56.57 for acute fatigue, and intershift recovery was 56.57. No differences in chronic fatigue (P = .40), acute fatigue (P = .14), or intershift recovery (P = .35) were found between groups. Nursing students (79%) preferred 12-hour clinical shifts as compared to 21% who chose two 6-hour clinical.

CONCLUSIONS

No differences in chronic/acute fatigue or intershift recovery between a 12-hour clinical shift or two 6-hour clinical shifts were found. Nursing students preferred the one 12-hour clinical shift.

The association between 12-hour shifts and nurses-in-charge's perceptions of missed care and staffing adequacy: a retrospective cross-sectional observational study

BACKGROUND

Due to worldwide nursing shortages and difficulty retaining staff, long shifts for nursing staff (both registered nurses and nursing assistants) working in hospitals have been adopted widely. Because long shifts reduce the daily number of shifts from three to two, many assume that long shifts improve productivity by removing one handover and staff overlap. However, it is unclear whether staffing levels are more likely to be perceived as adequate when more long shifts are used.

OBJECTIVES

To investigate the association between the proportion of long (≥12-hour) shifts worked on a ward and nurses-in-charge's perceptions that the staffing level was sufficient to meet patient need.

METHODS

A retrospective cross-sectional study using routinely collected data (patient administrative data and rosters) linked to nurses-in-charge's reports from 81 wards within four English hospitals across 1 year (2017). Hierarchical logistic regression models were used to determine associations between the proportion of long shifts and nurses-in-charge's reports of having enough staff for quality or leaving necessary nursing care undone, after controlling for the staffing level relative to demand (shortfall). We tested for interactions between staffing shortfall and the proportion of long shifts.

RESULTS

The sample comprised 19648 ward days. On average across wards, 72% of shifts were long. With mixed short and long shifts, the odds of nurses-in-charge reporting that there were enough staff for quality were 14-17% lower than when all shifts were long. For example, the odds of reporting enough staff for quality with between 60-80% long shifts was 15% lower (95% confidence interval 2% to 27%) than with all long shifts. Associations with nursing care left undone were consistent with this pattern. Although including interactions between staffing shortfalls and the proportion of long shifts did not improve model fit, the effect of long shifts did appear to differ according to shortfall, with lower proportions of long shifts associated with benefits when staffing levels were high relative to current norms.

CONCLUSIONS

Rather than a clear distinction between wards using short and long shifts, we found that a mixed pattern operated on most days and wards, with no wards using all short shifts. We found that when wards use exclusively long shifts rather than a mixture, nurses-in-charge are more likely to judge that they have enough staff. However, the adverse effects of mixed shifts on perceptions of staffing adequacy may be reduced or eliminated by higher staffing levels. ISRCTN 12307968. Tweetable abstract 12-hour shifts in nursing: a mix of short and long shifts may be worse than all long shifts.

The association between 12-hour shifts and nurses-in-charge's perceptions of missed care and staffing adequacy: a retrospective cross-sectional observational study

BACKGROUND

Due to worldwide nursing shortages and difficulty retaining staff, long shifts for nursing staff (both registered nurses and nursing assistants) working in hospitals have been adopted widely. Because long shifts reduce the daily number of shifts from three to two, many assume that long shifts improve productivity by removing one handover and staff overlap. However, it is unclear whether staffing levels are more likely to be perceived as adequate when more long shifts are used.

OBJECTIVES

To investigate the association between the proportion of long (≥12-hour) shifts worked on a ward and nurses-in-charge's perceptions that the staffing level was sufficient to meet patient need.

METHODS

A retrospective cross-sectional study using routinely collected data (patient administrative data and rosters) linked to nurses-in-charge's reports from 81 wards within four English hospitals across 1 year (2017). Hierarchical logistic regression models were used to determine associations between the proportion of long shifts and nurses-in-charge's reports of having enough staff for quality or leaving necessary nursing care undone, after controlling for the staffing level relative to demand (shortfall). We tested for interactions between staffing shortfall and the proportion of long shifts.

RESULTS

The sample comprised 19648 ward days. On average across wards, 72% of shifts were long. With mixed short and long shifts, the odds of nurses-in-charge reporting that there were enough staff for quality were 14-17% lower than when all shifts were long. For example, the odds of reporting enough staff for quality with between 60-80% long shifts was 15% lower (95% confidence interval 2% to 27%) than with all long shifts. Associations with nursing care left undone were consistent with this pattern. Although including interactions between staffing shortfalls and the proportion of long shifts did not improve model fit, the effect of long shifts did appear to differ according to shortfall, with lower proportions of long shifts associated with benefits when staffing levels were high relative to current norms.

CONCLUSIONS

Rather than a clear distinction between wards using short and long shifts, we found that a mixed pattern operated on most days and wards, with no wards using all short shifts. We found that when wards use exclusively long shifts rather than a mixture, nurses-in-charge are more likely to judge that they have enough staff. However, the adverse effects of mixed shifts on perceptions of staffing adequacy may be reduced or eliminated by higher staffing levels. ISRCTN 12307968. Tweetable abstract 12-hour shifts in nursing: a mix of short and long shifts may be worse than all long shifts.