A fundamental conflict of care: nurses' accounts of balancing sleep with taking vital signs observations at night.

AIMS AND OBJECTIVES: To explore why adherence to vital signs observations scheduled by an Early Warning Score protocol reduces at night. BACKGROUND: Regular vital signs observations can reduce avoidable deterioration in hospital. Early Warning Score protocols set the frequency of these observations by the severity of a patient's condition. Vital signs observations are taken less frequently at night, even with an Early Warning Score in place, but no literature has explored why. DESIGN: A qualitative interpretative design informed this study. METHODS: Seventeen semi-structured interviews with nursing staff working on wards with varying levels of adherence to scheduled vital signs observations. A thematic analysis approach was used. RESULTS: At night, nursing teams found it difficult to balance the competing care goals of supporting sleep with taking vital signs observations. The night-time frequency of these observations was determined by clinical judgement, ward-level expectations of observation timing and the risk of disturbing other patients. Patients with COPD or dementia could be under-monitored while patients nearing the end of life could be over-monitored. CONCLUSION: In this study we found an Early Warning Score algorithm focused on deterioration prevention did not account for long-term management or palliative care trajectories. Nurses were therefore less inclined to wake such patients to take vital signs observations at night. However the perception of widespread exceptions and lack of evidence regarding optimum frequency risks delegitimising the Early Warning Score approach. This may pose a risk to patient safety, particularly patients with dementia or chronic conditions. RELEVANCE TO CLINICAL PRACTICE: Nurses should document exceptions and discuss these with the wider team. Hospitals should monitor why vital signs observations are missed at night, identify which groups are under-monitored and provide guidance on prioritising competing expectations. Early Warning Score protocols should take account of different care trajectories. This article is protected by copyright. All rights reserved

Nurse staffing and patient outcomes: strengths and limitations of the evidence to inform policy and practice. A review and discussion paper based on evidence reviewed for the National Institute for Health and Care Excellence safe staffing guideline development

A large and increasing number of studies have reported a relationship between low nurse staffing levels and adverse outcomes, including higher mortality rates. Despite the evidence being extensive in size, and having been sometimes described as “compelling” and “overwhelming”, there are limitations that existing studies have not yet been able to address. One result of these weaknesses can be observed in the guidelines on safe staffing in acute hospital wards issued by the influential body that sets standards for the National Health Service in England, the National Institute for Health and Care Excellence (NICE), which concluded there is insufficient good quality evidence available to fully inform practice. In this paper we explore this apparent contradiction. After summarising the evidence review that informed the NICE guideline on safe staffing and related evidence, we move on to discussing the complex challenges that arise when attempting to apply this evidence to practice. Among these, we introduce the concept of endogeneity, a form of bias in the estimation of causal effects. Although current evidence is broadly consistent with a cause and effect relationship, endogeneity means that estimates of the size of effect, essential for building an economic case, may be biased and in some cases qualitatively wrong. We expand on three limitations that are likely to lead to endogeneity in many previous studies: omitted variables, which refers to the absence of control for variables such as medical staffing and patient case mix; simultaneity, which occurs when the outcome can influence the level of staffing just as staffing influences outcome; and common-method variance, which may be present when both outcomes and staffing levels variables are derived from the same survey. Thus while current evidence is important and has influenced policy because it illustrates the potential risks and benefits associated with changes in nurse staffing, it may not provide operational solutions. We conclude by posing a series of questions about design and methods for future researchers who intend to further explore this complex relationship between nurse staffing levels and outcomes. These questions are intended to reflect on the potential added value of new research given what is already known, and to encourage those conducting research to take opportunities to produce research that fills gaps in the existing knowledge for practice. By doing this we hope that future studies can better quantify both the benefits and costs of changes in nurse staffing levels and, therefore, serve as a more useful tool for those delivering services. <br/

The association between nurse staffing levels and the timeliness of vital signs monitoring: a retrospective observational study in the UK.

OBJECTIVES: Omissions and delays in delivering nursing care are widely reported consequences of staffing shortages, with potentially serious impacts on patients. However, studies so far have relied almost exclusively on nurse self-reporting. Monitoring vital signs is a key part of nursing work and electronic recording provides an opportunity to objectively measure delays in care. This study aimed to determine the association between registered nurse (RN) and nursing assistant (NA) staffing levels and adherence to a vital signs monitoring protocol. DESIGN: Retrospective observational study. SETTING: 32 medical and surgical wards in an acute general hospital in England. PARTICIPANTS: 538 238 nursing shifts taken over 30 982 ward days. PRIMARY AND SECONDARY OUTCOME MEASURES: Vital signs observations were scheduled according to a protocol based on the National Early Warning Score (NEWS). The primary outcome was the daily rate of missed vital signs (overdue by ≥67% of the expected time to next observation). The secondary outcome was the daily rate of late vital signs observations (overdue by ≥33%). We undertook subgroup analysis by stratifying observations into low, medium and high acuity using NEWS. RESULTS: Late and missed observations were frequent, particularly in high acuity patients (median=44%). Higher levels of RN staffing, measured in hours per patient per day (HPPD), were associated with a lower rate of missed observations in all (IRR 0.983, 95% CI 0.979 to 0.987) and high acuity patients (0.982, 95% CI 0.972 to 0.992). However, levels of NA staffing were only associated with the daily rate (0.954, CI 0.949 to 0.958) of all missed observations. CONCLUSIONS: Adherence to vital signs monitoring protocols is sensitive to levels of nurse and NA staffing, although high acuity observations appeared unaffected by levels of NAs. We demonstrate that objectively measured omissions in care are related to nurse staffing levels, although the absolute effects are small. STUDY REGISTRATION: The data and analyses presented here were part of the larger Missed Care study (ISRCTN registration: 17930973)

Nurse staffing, nursing assistants and hospital mortality: retrospective longitudinal cohort study.

OBJECTIVE: To determine the association between daily levels of registered nurse (RN) and nursing assistant staffing and hospital mortality. DESIGN: This is a retrospective longitudinal observational study using routinely collected data. We used multilevel/hierarchical mixed-effects regression models to explore the association between patient outcomes and daily variation in RN and nursing assistant staffing, measured as hours per patient per day relative to ward mean. Analyses were controlled for ward and patient risk. PARTICIPANTS: 138 133 adult patients spending >1 days on general wards between 1 April 2012 and 31 March 2015. OUTCOMES: In-hospital deaths. RESULTS: Hospital mortality was 4.1%. The hazard of death was increased by 3% for every day a patient experienced RN staffing below ward mean (adjusted HR (aHR) 1.03, 95% CI 1.01 to 1.05). Relative to ward mean, each additional hour of RN care available over the first 5 days of a patient's stay was associated with 3% reduction in the hazard of death (aHR 0.97, 95% CI 0.94 to 1.0). Days where admissions per RN exceeded 125% of the ward mean were associated with an increased hazard of death (aHR 1.05, 95% CI 1.01 1.09). Although low nursing assistant staffing was associated with increases in mortality, high nursing assistant staffing was also associated with increased mortality. CONCLUSION: Lower RN staffing and higher levels of admissions per RN are associated with increased risk of death during an admission to hospital. These findings highlight the possible consequences of reduced nurse staffing and do not give support to policies that encourage the use of nursing assistants to compensate for shortages of RNs

Nurse staffing levels, missed vital signs observations and mortality in hospital wards: modelling the consequences and costs of variations in nurse staffing and skill mix. Retrospective observational study using routinely collected data.

Background: Low nurse staffing levels are associated with adverse patient outcomes from hospital care, but the causal relationship is unclear. Limited capacity to observe patients has been hypothesised as a causal mechanism. Objectives: This study determines whether or not adverse outcomes are more likely to occur after patients experience low nurse staffing levels, and whether or not missed vital signs observations mediate any relationship. Design: Retrospective longitudinal observational study. Multilevel/hierarchical mixed-effects regression models were used to explore the association between registered nurse (RN) and health-care assistant (HCA) staffing levels and outcomes, controlling for ward and patient factors. Setting and participants: A total of 138,133 admissions to 32 general adult wards of an acute hospital from 2012 to 2015. Main outcomes: Death in hospital, adverse event (death, cardiac arrest or unplanned intensive care unit admission), length of stay and missed vital signs observations. Data sources: Patient administration system, cardiac arrest database, eRoster, temporary staff bookings and the Vitalpac system (System C Healthcare Ltd, Maidstone, Kent; formerly The Learning Clinic Limited) for observations. Results: Over the first 5 days of stay, each additional hour of RN care was associated with a 3% reduction in the hazard of death [hazard ratio (HR) 0.97, 95% confidence interval (CI) 0.94 to 1.0]. Days on which the HCA staffing level fell below the mean were associated with an increased hazard of death (HR 1.04, 95% CI 1.02 to 1.07), but the hazard of death increased as cumulative staffing exposures varied from the mean in either direction. Higher levels of temporary staffing were associated with increased mortality. Adverse events and length of stay were reduced with higher RN staffing. Overall, 16% of observations were missed. Higher RN staffing was associated with fewer missed observations in high-acuity patients (incidence rate ratio 0.98, 95% CI 0.97 to 0.99), whereas the overall rate of missed observations was related to overall care hours (RN + HCA) but not to skill mix. The relationship between low RN staffing and mortality was mediated by missed observations, but other relationships between staffing and mortality were not. Changing average skill mix and staffing levels to the levels planned by the Trust, involving an increase of 0.32 RN hours per patient day (HPPD) and a similar decrease in HCA HPPD, would be associated with reduced mortality, an increase in staffing costs of £28 per patient and a saving of £0.52 per patient per hospital stay, after accounting for the value of reduced stays. Limitations: This was an observational study in a single site. Evidence of cause is not definitive. Variation in staffing could be influenced by variation in the assessed need for staff. Our economic analysis did not consider quality or length of life. Conclusions: Higher RN staffing levels are associated with lower mortality, and this study provides evidence of a causal mechanism. There may be several causal pathways and the absolute rate of missed observations cannot be used to guide staffing decisions. Increases in nursing skill mix may be cost-effective for improving patient safety. Future work: More evidence is required to validate approaches to setting staffing levels. Other aspects of missed nursing care should be explored using objective data. The implications of findings about both costs and temporary staffing need further exploratio

Nurses' 12-hour shifts and missed or delayed vital signs observations on hospital wards: retrospective observational study

Objectives 12-hour shifts worked by nurses on acute hospital wards have been associated with increased rates of missed care reported by nurses. This study aimed to measure the association between nurses working shifts of at least 12 hours and an objective measure of missed care: vital signs observations taken on time according to an acuity-based surveillance protocol. Design A retrospective observational study using routinely collected data from March 2012 to March 2015. Setting 32 general inpatient wards at a large acute hospital in England. Participants 658 628 nursing shifts nested in 24 069 ward days. Outcome measures The rate of daily delayed and missed vital signs observations. We focused on situations where vital signs observations were required at least every 4 hours and measured the number of instances where observations were delayed or missed, per 24-hour period. For each ward and each day, shift patterns were characterised in terms of proportion of care hours per patient day deriving from 'long' shifts (>= 12 hours) for both registered nurses and healthcare assistants. Results On 99 043 occasions (53%), observations were significantly delayed, and on 81 568 occasions (44%), observations were missed. Observations were more likely to be delayed when a higher proportion of the hours worked by healthcare assistants were part of long shifts (IRR=1.05; 95% CI 1.00 to 1.10). No significant association was found in relation to the proportion of hours registered nurses worked as long shifts. Conclusion On days when a higher proportion of hours worked by healthcare assistants are from long shifts, the risk of delaying vital signs observations is higher, suggesting lower job performance. While longer shifts are thought to require fewer staff resources to maintain nurse-to-patient ratios, any benefits may be lost if staff become less productive

Characteristics of shift work and their impact on employee performance and wellbeing: a literature review

BACKGROUND: Shift work is recognised as a component of work organisation that may affect the balance between employee’s efficiency, effectiveness and wellbeing. Shift work is frequent in healthcare and for nurses in particular, as they typically comprise a large proportion of the workforce in healthcare AIM: To identify the characteristics of shift work that have an effect on employee’s performance (including job performance, productivity, safety, quality of care delivered, errors, adverse events and client satisfaction) and wellbeing (including burnout, job satisfaction, absenteeism, intention to leave the job) in all sectors including healthcareMETHODS: A search of electronic databases (CINAHL, MEDLINE, PsychINFO, SCOPUS) to identify primary quantitative studies was conducted between January and March 2015. Studies were drawn from all occupational sectors (i.e. health and non health), meeting the inclusion criteria: involved participants aged ?18 who have been working shifts or serve as control group for others working shifts, exploring the association of characteristics of shift work with at least one of the selected outcomes. Reference lists from retrieved studies were checked to identify any further studiesRESULTS: 35 studies were included in the review; 25 studies were performed in the health sector. A variety of shift work characteristics are associated with compromised employee’s performance and wellbeing. Findings from large multicentre studies highlight that shifts of 12 hours or longer are associated with jeopardised outcomes. Working more than 40 hours per week is associated with adverse events, while no conclusive evidence was found regarding working a ‘Compressed Working Week’; working overtime was associated with decreased job performance. Working rotating shifts was associated with worse job performance outcomes, whilst fixed night shifts appeared to enable resynchronisation. However, job satisfaction of employees working fixed nights was reduced. Timely breaks had a positive impact on employee fatigue and alertness, whilst quick returns between shifts appeared to increase pathologic fatigue. The effect of shift work characteristics on outcomes in the studies reviewed is consistent across occupational sectorsCONCLUSIONS: This review highlighted the complexity that encompasses shift work, but many studies do not account for this complexity. While some consistent associations emerge (e.g. 12 hour shifts and jeopardised outcomes), it is not always possible to conclude that results are not confounded by unmeasured factors <br/

Under the radar: The benefits of a sociological view of nurses’ ‘non-compliance’ in hospital wards at night

This paper demonstrates how a 'sociology of healthcare safety and quality' (Allen et al., 2015) can expand understanding of staff 'non-compliance'. Following Allen (2016) it uses aspects of Actor-network theory and the concept of working practices to challenge the mainstream Quality Improvement approach of treating staff concerns as 'resistance' to be overcome. This research was part of a study exploring nurses' relative 'non-compliance' with a vital signs observation protocol at night. An Early Warning System (EWS) algorithm prescribed frequency of observations when readings deviated from a 'normal' range. Semi-structured interviews were carried out with 17 nursing staff on wards with differing levels of compliance with the protocol. An electronic device had a delegating (calculating observation intervals) and prescriptive role (informing nurses when to carry out observations). Data was used by hospital management to assess ward compliance with the protocol. Interviewees described how the use of these actants (electronic device, ward compliance targets and protocol) provided some affordances. Yet the measurement of prescribed activity as 'compliant' or 'non-compliant' with no opportunity for nurse input removed nurses' mediating role and reduced their sense of professional autonomy. However nurses' accounts of decisions not to comply suggested certain patient groups might be unintentionally under-monitored at night. It was recommended that nurses' judgements about non-compliance be incorporated into the system to restore nurses' mediating role but also highlight potential risks. This research demonstrates how a sociological approach can address staff concerns and patient safety while making visible the impact of technology on ward decision making