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Shifts of 12 hours or longer are common in nursing services within general hospital wards. Concerns have been raised about their safety, but previous research has mostly used staff-reported measures of quality and safety and has occurred in general hospital settings only. This study aims to measure the association between the use of 12+ hour shifts in nursing staff (including registered nurses, healthcare support workers or nursing assistants, and nursing associates) and the rate of patient incidents in mental health and community hospitals. This is a longitudinal study using routinely collected data from two mental health and community NHS trusts in the South of England. We accessed rosters of nursing staff and patient incident data from April 2018 to March 2021. We extracted 1,018,971 shifts and excluded those not worked by nursing staff, with a final sample of 898,143 shifts. We extracted 53,078 incidents. We only included incidents that involved patients and that occurred in wards. Our final sample consisted of 38,373 patient incidents. We linked all patient incidents and nurses' worked shifts at the ward-day level. Depending on the distribution of incident rates, we used either negative binomial mixed-effects models or Poisson mixed-effect models to investigate the association between the proportion of 12+ hour shifts and all patient incidents, violence against staff, falls, self-injury, disruptive behaviour, and medication management incidents at the ward-day level. We found a relationship between 12+ hour shifts and the incident rate. Compared to days in wards with no long shifts, increasing the proportion of long shifts was initially associated with a small increase in the overall rate of incidents, but the rate increased sharply as the proportion of long shifts was above 70%. Rates of self-injury increased more steadily as the proportion of long shifts increased. The mandatory implementation of long shifts should be discouraged. [ABSTRACT FROM AUTHOR]

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. [ABSTRACT FROM AUTHOR]

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. [ABSTRACT FROM AUTHOR]

Objectives: We explore sickness absenteeism variations within the public sector and in particular the role of mental illness. Distinctively, the public sector is segmented into vocational and nonvocational sector, assuming that vocation leads to a different degree of job attachment and alter sickness leave decision. Methods: Using British Household Panel Survey, random-effects logit models are applied to estimate the odds ratio of sickness absence with alternative measures of vocational employment. The association between mental illness and sickness absence is also explored. Results: Absenteeism and the effect of mental illness on absenteeism rates vary within the public sector after controlling for socioeconomic factors. The public vocational sector had the largest sickness absence odds ratios. Conclusion: Differences between absenteeism rates across sectors may be more about the nature of the job and less about the nature of the sector. [ABSTRACT FROM AUTHOR]

In the Funding statement, the funding recipient is listed incorrectly. The correct funding statement is: CDO received funding from NIHR Applied Research Collaboration Wessex; https://www.arc-wx.nihr.ac.uk/research-areas/workforce-and-health-systems/nursing-shift-patterns-in-acute-community-and-mental-health-hospital-wards/. [Extracted from the article]

We investigate the effect of positional goods (goods for which one's consumption relative to others’ matters) on saving, based on results from a life-cycle consumption/saving experiment. In a Group treatment, we allow inter-personal comparisons by assigning subjects to groups and displaying rankings based partly on consumption. A baseline Individual treatment is similar, but without the additional information. We find more under-saving (saving less than the optimal amount), and lower money earnings for subjects, in the Group treatment. Both effects are economically relevant, with magnitudes of roughly 6–7% of expected income and 7–8% of average earnings respectively. Additional analysis shows that the result is driven by those subjects who are not ranked in the top three in their group (“keeping up with the Joneses”), and males in particular. [ABSTRACT FROM AUTHOR]

Aim: To gain a deeper understanding of what is important to nurses when thinking about shift patterns and the organisation of working time. Design: A cross‐sectional survey of nursing staff working across the UK and Ireland collected quantitative and qualitative responses. Methods: We recruited from two National Health Service Trusts and through an open call via trade union membership, online/print nursing profession magazines and social media. Worked versus preferred shift length/pattern, satisfaction and choice over shift patterns and nurses' views on aspects related to work and life (when working short, long, rotating shifts) were analysed with comparisons of proportions of agreement and crosstabulation. Qualitative responses on important factors related to shift preferences were analysed with inductive thematic analysis. Results: Eight hundred and seventy‐three survey responses were collected. When nurses worked long shifts and rotating shifts, lower proportions reported being satisfied with their shifts and working their preferred shift length and pattern. Limited advantages were realised when comparing different shift types; however, respondents more frequently associated 'low travel costs' and 'better ability to do paid overtime' with long shifts and 'healthy diet/exercise' with short shifts; aspects related to rotating shifts often had the lowest proportions of agreement. In the qualitative analysis, three themes were developed: 'When I want to work', 'Impacts to my life outside work' and 'Improving my work environment'. Reasons for nurses' shift preferences were frequently related to nurses' priorities outside of work, highlighting the importance of organising schedules that support a good work‐life balance. Relevance to Clinical Practice: General scheduling practices like adhering to existing shift work guidelines, using consistent and predictable shift patterns and facilitating flexibility over working time were identified by nurses as enablers for their preferences and priorities. These practices warrant meaningful consideration when establishing safe and efficient nurse rosters. Patient or Public Contribution: This survey was developed and tested with a diverse group of stakeholders, including nursing staff, patients, union leads and ward managers. Reporting Method: The Strengthening the Reporting of Observational Studies (STROBE) checklist for cross‐sectional studies was used to guide reporting. [ABSTRACT FROM AUTHOR]