Nurse understaffing associated with adverse outcomes for surgical admissions.

BACKGROUND: Nurses play a crucial role in maintaining the safety of surgical patients. Few nurse staffing studies have looked specifically at surgical patients to examine the impact of exposure to low staffing on patient outcomes. METHODS: A longitudinal patient analysis was conducted in four organizations in England using routine data from 213 910 admissions to all surgical specialties. Patients' staffing exposures were modelled as counts of understaffed registered nurse and nurse assistant days in the first 5 inpatient days. Understaffing was identified when staffing per patient-day was below the mean for the ward. Cox models were used to examine mortality within 30 days of admission and readmission within 30 days of discharge. Generalized linear models were used to investigate duration of hospital stay and occurrence of hospital-acquired conditions. RESULTS: Increased exposure to registered nurse understaffing was associated with longer hospital stay and increased risk of deep vein thrombosis, pneumonia, and pressure ulcers. This was also true for nurse assistant understaffing, but the effect sizes tended to be smaller. In the Cox models, there were similarly increased hazards of death for registered nurse understaffing (HR 1.09, 95% c.i. 1.07 to 1.12) and nurse assistant understaffing (HR 1.10, 1.08 to 1.13), whereas the effect size of registered nurse understaffing for readmission (HR 1.02, 1.02 to 1.03) was greater than that seen with nurse assistants (HR 1.01, 1.01 to 1.02). CONCLUSION: Understaffing by both registered nurses and nursing assistants is associated with increased risks of a range of adverse events, and generally larger effects are seen with registered nurse understaffing.

The association between midwifery staffing and reported harmful incidents: a cross-sectional analysis of routinely collected data.

BACKGROUND: Independent inquiries have identified that appropriate staffing in maternity units is key to enabling quality care and minimising harm, but optimal staffing levels can be difficult to achieve when there is a shortage of midwives. The services provided and how they are staffed (total staffing, skill-mix and deployment) have been changing, and the effects of workforce changes on care quality and outcomes have not been assessed. This study aims to explore the association between daily midwifery staffing levels and the rate of reported harmful incidents affecting mothers and babies. METHODS: We conducted a cross-sectional analysis of daily reports of clinical incidents in maternity inpatient areas matched with inpatient staffing levels for three maternity services in England, using data from April 2015 to February 2020. Incidents resulting in harm to mothers or babies was the primary outcome measure. Staffing levels were calculated from daily staffing rosters, quantified in Hours Per Patient Day (HPPD) for midwives and maternity assistants. Understaffing was defined as staffing below the mean for the service. A negative binomial hierarchical model was used to assess the relationship between exposure to low staffing and reported incidents involving harm. RESULTS: The sample covered 106,904 maternal admissions over 46 months. The rate of harmful incidents in each of the three services ranged from 2.1 to 3.0 per 100 admissions across the study period. Understaffing by registered midwives was associated with an 11% increase in harmful incidents (adjusted IRR 1.110, 95% CI 1.002,1.229). Understaffing by maternity assistants was not associated with an increase in harmful incidents (adjusted IRR 0.919, 95% 0.813,1.039). Analysis of specific types of incidents showed no statistically significant associations, but most of the point estimates were in the direction of increased incidents when services were understaffed. CONCLUSION: When there is understaffing by registered midwives, more harmful incidents are reported but understaffing by maternity assistants is not associated with higher risk of harms. Adequate registered midwife staffing levels are crucial for maintaining safety. Changes in the profile of maternity service workforces need to be carefully scrutinised to prevent mothers and babies being put at risk of avoidable harm.

The important factors nurses consider when choosing shift patterns: A cross-sectional study.

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.

The association between multi-disciplinary staffing levels and mortality in acute hospitals: a systematic review.

OBJECTIVES: Health systems worldwide are faced with the challenge of adequately staffing their hospital services. Much of the current research and subsequent policy has been focusing on nurse staffing and minimum ratios to ensure quality and safety of patient care. Nonetheless, nurses are not the only profession who interact with patients, and, therefore, not the only professional group who has the potential to influence the outcomes of patients while in hospital. We aimed to synthesise the evidence on the relationship between multi-disciplinary staffing levels in hospital including nursing, medical and allied health professionals and the risk of death. METHODS: Systematic review. We searched Embase, Medline, CINAHL, and the Cochrane Library for quantitative or mixed methods studies with a quantitative component exploring the association between multi-disciplinary hospital staffing levels and mortality. RESULTS: We included 12 studies. Hospitals with more physicians and registered nurses had lower mortality rates. Higher levels of nursing assistants were associated with higher patient mortality. Only two studies included other health professionals, providing scant evidence about their effect. CONCLUSIONS: Pathways for allied health professionals such as physiotherapists, occupational therapists, dietitians, pharmacists, to impact safety and other patient outcomes are plausible and should be explored in future studies.

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.

A global overview of healthcare workers' turnover intention amid COVID-19 pandemic: a systematic review with future directions.

BACKGROUND: Globally, the health workforce has long suffered from labour shortages. This has been exacerbated by the workload increase caused by the COVID-19 pandemic. Major collapses in healthcare systems across the world during the peak of the pandemic led to calls for strategies to alleviate the increasing job attrition problem within the healthcare sector. This turnover may worsen given the overwhelming pressures experienced by the health workforce during the pandemic, and proactive measures should be taken to retain healthcare workers. This review aims to examine the factors affecting turnover intention among healthcare workers during the COVID-19 pandemic. METHODS: A mixed studies systematic review was conducted. The PubMed, Embase, Scopus, CINAHL, Web of Science and PsycINFO databases were searched from January 2020 to March 2022. The Joanna Briggs Institute's Critical Appraisal Tools and the Mixed Methods Appraisal Tool version 2018 were applied by two independent researchers to critically appraise the methodological quality. Findings were synthesised using a convergent integrated approach and categorised thematically. RESULTS: Forty-three studies, including 39 quantitative, two qualitative and two mixed methods studies were included in this review. Eighteen were conducted in the Middle East, ten in the Americas, nine in the Asia-Pacific region and six in Europe. Nurses (n = 35) were included in the majority of the studies, while physicians (n = 13), allied health workers (n = 11) and healthcare administrative or management staff (n = 7) were included in a smaller proportion. Five themes emerged from the data synthesis: (1) fear of COVID-19 exposure, (2) psychological responses to stress, (3) socio-demographic characteristics, (4) adverse working conditions, and (5) organisational support. CONCLUSIONS: A wide range of factors influence healthcare workers' turnover intention in times of pandemic. Future research should be more focused on specific factors, such as working conditions or burnout, and specific vulnerable groups, including migrant healthcare workers and healthcare profession minorities, to aid policymakers in adopting strategies to support and incentivise them to retain them in their healthcare jobs.

'I'll put up with things for a long time before I need to call anybody': Face work, the Total Institution and the perpetuation of care inequalities.

Failures in fundamental care (e.g. nutrition or pain-relief) for hospitalised patients can have serious consequences, including avoidable deaths. Policy rhetoric of 'shared decision-making' fails to consider how structural constraints and power dynamics limit patient agency in nursing staff-patient interactions. Goffman's concepts of face work, the presentation of self and the Total Institution shaped our analysis of interview and focus group data from hospital patients. Patients avoided threatening 'good' patient and staff face by only requesting missed care when staff face was convincing as 'caring' and 'available' ('engaged'). Patients did not request care from 'distracted' staff ('caring' but not 'available'), whilst patient requests were ignored in Total Institution-like 'dismissive' interactions. This meant patients experienced missed care with both 'distracted' and 'dismissive' staff. Patients with higher support needs were less able to carry out their own missed care to protect staff face, so experienced more serious care omissions. These findings show that many elements of the Total Institution survive in modern healthcare settings despite attempts to support individualised care. Unless nursing staff can maintain face as 'engaged' (despite organisational constraints that can reduce their capacity to do so) patient participation in care decisions will remain at the level of rhetoric.

The organisation of nurse staffing in intensive care units: A qualitative study.

AIMS: To examine the organisation of the nursing workforce in intensive care units and identify factors that influence how the workforce operates. BACKGROUND: Pre-pandemic UK survey data show that up to 60% of intensive care units did not meet locally agreed staffing numbers and 40% of ICUs were closing beds at least once a week because of workforce shortages, specifically nursing. Nurse staffing in intensive care is based on the assumption that sicker patients need more nursing resource than those recovering from critical illness. These standards are based on historical working, and expert professional consensus, deemed the weakest form of evidence. METHODS: Focus groups with intensive care health care professionals (n = 52 participants) and individual interviews with critical care network leads and policy leads (n = 14 participants) in England between December 2019 and July 2020. Data were analysed using framework analysis. FINDINGS: Three themes were identified: the constraining or enabling nature of intensive care and hospital structures; whole team processes to mitigate nurse staffing shortfalls; and the impact of nurse staffing on patient, staff and intensive care flow outcomes. Staff made decisions about staffing throughout a shift and were influenced by a combination of factors illuminated in the three themes. CONCLUSIONS: Whilst nurse:patient ratios were clearly used to set the nursing establishment, it was clear that rostering and allocation/re-allocation during a shift took into account many other factors, such as patient and family nursing needs, staff well-being, intensive care layout and the experience, and availability, of other members of the multi-professional team. This has important implications for future planning for intensive care nurse staffing and highlights important factors to be accounted for in future research studies. IMPLICATIONS FOR NURSING MANAGEMENT: In order to safeguard patient and staff safety, factors such as the ICU layout need to be considered in staffing decisions and the local business case for nurse staffing needs to reflect these factors. Patient safety in intensive care may not be best served by a blanket 'ratio' approach to nurse staffing, intended to apply uniformly across health services.

Association between Quality of Interactions Schedule ratings and care experiences of people with a dementia in general hospital settings: a validation study.

INTRODUCTION: Establishing methods to evaluate interactions between hospital staff and patients with a dementia is vital to inform care delivery. This study aimed to assess the validity of Quality of Interactions Schedule (QuIS) ratings in relation to the care experiences of people with a dementia in a general hospital setting. METHODS: Four hundred and ninety face-to-face interactions between staff and patients with a dementia (n = 107) on six medicine for older people wards in a UK National Health Service hospital were observed and rated using QuIS and the Psychological Well-Being in Cognitively Impaired Persons (PWB-CIP) tool. We also invited patient ratings for longer interactions (n = 217). Analyses explored associations between QuIS ratings, PWB-CIP ratings and patient ratings. RESULTS: When QuIS was rated negative, the mean researcher-rated patient psychological well-being was lower (PWB = 7.9 out of maximum score of 10) than when QuIS was non-negative (PWB = 8.8, p = 0.036). Negative QuIS ratings were associated with negative ratings on seven out of ten individual PWB-CIP items. When QuIS was rated negative, the associated patient rating was 4% less likely to be 'happy'. The patient was also 4% more likely to rate the interaction as 'kind'. Patients struggled to participate in care ratings. CONCLUSIONS: Some patients found responding to researcher questions difficult or not relevant, reflecting the need for development of more suitable methods in this field. Our findings of an association between lower quality QuIS-rated interactions and lower psychological well-being lend support to the use of QuIS with patient populations that include people with a dementia.

The association between ward staffing levels, mortality and hospital readmission in older hospitalised adults, according to presence of cognitive impairment: a retrospective cohort study.

BACKGROUND: Lower nurse staffing levels are associated with increased hospital mortality. Older patients with cognitive impairments (CI) have higher mortality rates than similar patients without CI and may be additionally vulnerable to low staffing. OBJECTIVES: To explore associations between registered nurse (RN) and nursing assistant (NA) staffing levels, mortality and readmission in older patients admitted to general medical/surgical wards. RESEARCH DESIGN: Retrospective cohort. PARTICIPANTS: All unscheduled admissions to an English hospital of people aged ≥75 with cognitive screening over 14 months. MEASURES: The exposure was defined as deviation in staffing hours from the ward daily mean, averaged across the patient stay. Outcomes were mortality in hospital/within 30 days of discharge and 30-day re-admission. Analyses were stratified by CI. RESULTS: 12,544 admissions were included. Patients with CI (33.2%) were exposed to similar levels of staffing as those without. An additional 0.5 RN hours per day was associated with 10% reduction in the odds of death overall (odds ratio 0.90 [95% CI 0.84-0.97]): 15% in patients with CI (OR 0.85 [0.74-0.98]) and 7% in patients without (OR 0.93 [0.85-1.02]). An additional 0.5 NA hours per day was associated with a 15% increase in mortality in patients with no impairment. Readmissions decreased by 6% for an additional 0.5 RN hours in patients with CI. CONCLUSIONS: Although exposure to low staffing was similar, the impact on mortality and readmission for patients with CI was greater. Increased mortality with higher NA staffing in patients without CI needs exploration.

Estimating the economic cost of nurse sensitive adverse events amongst patients in medical and surgical settings.

AIMS: To identify the costs associated with nurse sensitive adverse events and the impact of these events on patients' length of stay. DESIGN: Retrospective cohort study using administrative hospital data. METHODS: Data were sourced from patient discharge information (N = 5544) from six acute wards within three hospitals (July 2016-October 2017). A retrospective patient record review was undertaken by extracting data from the hospitals' administrative systems on inpatient discharges, length of stay and diagnoses; eleven adverse events sensitive to nurse staffing were identified within the administrative system. A negative binomial regression is employed to assess the impact of nurse sensitive adverse events on length of stay. RESULTS: Sixteen per cent of the sample (n = 897) had at least one nurse sensitive adverse event during their episode of care. The model revealed when age, gender, admission type and complexity are controlled for, each additional nurse sensitive adverse event experienced by a patient was associated with an increase in the length of stay beyond the national average by 0.48 days (p = .001). Applying this to the daily average cost of inpatient stay per patient (€1456), we estimate the average cost associated with each nurse sensitive adverse event to be €694. Extrapolating this nationally, the economic cost of nurse sensitive adverse events to the health service in Ireland is estimated to be €91.3 million annually. CONCLUSION: These potentially avoidable events are associated with a significant economic burden to health systems. The estimates provided here can be used to inform and prepare the way for future economic evaluations of nurse staffing initiatives that aim to improve care and safety. IMPACT: As many of these nurse sensitive adverse events are avoidable, in addition to patient benefits, there is a potential substantial financial return on investment from strategies such as improved nurse staffing that can reduce their occurrence.

Ward staffing guided by a patient classification system: A multi-criteria analysis of "fit" in three acute hospitals.

AIMS: To assess how well the Safer Nursing Care Tool (SNCT) predicts staffing requirements on hospital wards, and to use professional judgement to generate hypotheses about factors associated with a "poor fit". BACKGROUND: The SNCT is widely used in the UK, but there is scant evidence about factors that influence the quality of staffing decisions based upon such patient classification systems. METHODS: Secondary analysis of data from 69 wards in three acute hospitals to assess the precision of the estimated staffing requirement, variation of estimates, correspondence with professional judgement and achieved staffing levels. Nursing workforce leads suggested factors associated with poor fit, based on the wards that rated worst. RESULTS: 39% of wards were frequently understaffed, while frequent overstaffing was less common (12%). 24% of wards needed a sample of over 182 days to estimate the establishment precisely. Potential reasons identified for poor fit included high turnover, older patients, high levels of 1-to-1 specialing, cancer care, small ward size and high within-day variation in demand. CONCLUSIONS: Using a staffing tool without applying professional judgement or triangulating against other methods can lead to inaccurate estimates of staffing requirements and unsafe staffing levels. IMPLICATIONS FOR NURSING MANAGEMENT: Despite the availability of software to calculate staffing requirements, application of professional judgement remains essential.

Interaction of Low Molecular Weight Poly(diallyldimethylammonium chloride) and Sodium Dodecyl Sulfate in Low Surfactant-Polyelectrolyte Ratio, Salt-Free Solutions.

Coacervation is widely used in formulations to induce a beneficial character to the formulation, but nonequilibrium effects are often manifest. Electrophoretic NMR (eNMR), pulsed-gradient spin-echo NMR (PGSE-NMR), and small-angle neutron scattering (SANS) have been used to quantify the interaction between low molecular cationic poly(diallyldimethylammonium chloride) (PDADMAC) and the anionic surfactant sodium dodecyl sulfate (SDS) in aqueous solution as a model for the precursor state to such nonequilibrium processes. The NMR data show that, within the low surfactant concentration one-phase region, an increasing surfactant concentration leads to a reduction in the charge on the polymer and a collapse of its solution conformation, attaining minimum values coincident with the macroscopic phase separation boundary. Interpretation of the scattering data reveals how the rodlike polymer changes over the same surfactant concentration window, with no discernible fingerprint of micellar type aggregates, but rather with the emergence of disklike and lamellar structures. At the highest surfactant concentration, the emergence of a weak Bragg peak in both the polymer and surfactant scattering suggests these precursor disk and lamellar structures evolve into paracrystalline stacks which ultimately phase separate. Addition of the nonionic surfactant hexa(ethylene glycol) monododecyl ether (C12E6) to the system seems to have little effect on the PDADMAC/SDS interaction as determined by NMR, merely displacing the observed behavior to lower SDS concentrations, commensurate with the total SDS present in the system. In other words, PDADMAC causes the disruption of the mixed SDS/C12E6 micelle, leading to SDS-rich PDADAMC/surfactant complexes coexisting with C12E6-rich micelles in solution.

Burnout in nursing: a theoretical review.

BACKGROUND: Workforce studies often identify burnout as a nursing 'outcome'. Yet, burnout itself-what constitutes it, what factors contribute to its development, and what the wider consequences are for individuals, organisations, or their patients-is rarely made explicit. We aimed to provide a comprehensive summary of research that examines theorised relationships between burnout and other variables, in order to determine what is known (and not known) about the causes and consequences of burnout in nursing, and how this relates to theories of burnout. METHODS: We searched MEDLINE, CINAHL, and PsycINFO. We included quantitative primary empirical studies (published in English) which examined associations between burnout and work-related factors in the nursing workforce. RESULTS: Ninety-one papers were identified. The majority (n = 87) were cross-sectional studies; 39 studies used all three subscales of the Maslach Burnout Inventory (MBI) Scale to measure burnout. As hypothesised by Maslach, we identified high workload, value incongruence, low control over the job, low decision latitude, poor social climate/social support, and low rewards as predictors of burnout. Maslach suggested that turnover, sickness absence, and general health were effects of burnout; however, we identified relationships only with general health and sickness absence. Other factors that were classified as predictors of burnout in the nursing literature were low/inadequate nurse staffing levels, ≥ 12-h shifts, low schedule flexibility, time pressure, high job and psychological demands, low task variety, role conflict, low autonomy, negative nurse-physician relationship, poor supervisor/leader support, poor leadership, negative team relationship, and job insecurity. Among the outcomes of burnout, we found reduced job performance, poor quality of care, poor patient safety, adverse events, patient negative experience, medication errors, infections, patient falls, and intention to leave. CONCLUSIONS: The patterns identified by these studies consistently show that adverse job characteristics-high workload, low staffing levels, long shifts, and low control-are associated with burnout in nursing. The potential consequences for staff and patients are severe. The literature on burnout in nursing partly supports Maslach's theory, but some areas are insufficiently tested, in particular, the association between burnout and turnover, and relationships were found for some MBI dimensions only.

Longitudinal Study of the Variation in Patient Turnover and Patient-to-Nurse Ratio: Descriptive Analysis of a Swiss University Hospital.

BACKGROUND: Variations in patient demand increase the challenge of balancing high-quality nursing skill mixes against budgetary constraints. Developing staffing guidelines that allow high-quality care at minimal cost requires first exploring the dynamic changes in nursing workload over the course of a day. OBJECTIVE: Accordingly, this longitudinal study analyzed nursing care supply and demand in 30-minute increments over a period of 3 years. We assessed 5 care factors: patient count (care demand), nurse count (care supply), the patient-to-nurse ratio for each nurse group, extreme supply-demand mismatches, and patient turnover (ie, number of admissions, discharges, and transfers). METHODS: Our retrospective analysis of data from the Inselspital University Hospital Bern, Switzerland included all inpatients and nurses working in their units from January 1, 2015 to December 31, 2017. Two data sources were used. The nurse staffing system (tacs) provided information about nurses and all the care they provided to patients, their working time, and admission, discharge, and transfer dates and times. The medical discharge data included patient demographics, further admission and discharge details, and diagnoses. Based on several identifiers, these two data sources were linked. RESULTS: Our final dataset included more than 58 million data points for 128,484 patients and 4633 nurses across 70 units. Compared with patient turnover, fluctuations in the number of nurses were less pronounced. The differences mainly coincided with shifts (night, morning, evening). While the percentage of shifts with extreme staffing fluctuations ranged from fewer than 3% (mornings) to 30% (evenings and nights), the percentage within "normal" ranges ranged from fewer than 50% to more than 80%. Patient turnover occurred throughout the measurement period but was lowest at night. CONCLUSIONS: Based on measurements of patient-to-nurse ratio and patient turnover at 30-minute intervals, our findings indicate that the patient count, which varies considerably throughout the day, is the key driver of changes in the patient-to-nurse ratio. This demand-side variability challenges the supply-side mandate to provide safe and reliable care. Detecting and describing patterns in variability such as these are key to appropriate staffing planning. This descriptive analysis was a first step towards identifying time-related variables to be considered for a predictive nurse staffing model.

Temporary Staffing and Patient Death in Acute Care Hospitals: A Retrospective Longitudinal Study.

PURPOSE: To explore the association between the levels of temporary nurse staffing and patient mortality. Achieving adequate nurse staffing levels plays a vital role in keeping patients safe from harm. The evidence around deploying temporary staffing to maintain safe staffing levels is mixed, with some studies reporting no adverse effects on patient mortality. DESIGN: A retrospective longitudinal observational study using routinely collected data on 138,133 patients admitted to a large hospital in the south of England. Data were collected between April 2012 and April 2015. METHODS: We used multilevel survival models to explore the association between in-hospital deaths and daily variation in registered nurse (RN) and nursing assistant (NA) temporary staffing, measured as hours per patient per day. Analyses controlled for unit and patient risk. FINDINGS: Use of temporary staffing was common, with only 24% (n = 7,529) of the 30,980 unit-days having no temporary RN staff and 13% (n = 3,951) having no temporary NAs. The hazard of death was increased by 12% for every day a patient experienced high levels (1.5 hr or more per day) of RN temporary staffing (adjusted hazard ratio [aHR] 1.12, 95% confidence interval [CI] 1.03-1.21). The hazard of death was increased on days when NA temporary staffing was more than 0.5 hr per patient (aHR 1.06; 95% CI 1.03-1.08). CONCLUSIONS: Days with more than 1.5 hr per patient of temporary RNs and days with more than 0.5 hr of temporary NAs were associated with increased hazard of death. CLINICAL RELEVANCE: Heavy reliance on temporary staff is associated with higher risk for patients dying. There is no evidence of harm associated with modest use of temporary RNs so that required staffing levels can be maintained.

12-hr shifts in nursing: Do they remove unproductive time and information loss or do they reduce education and discussion opportunities for nurses? A cross-sectional study in 12 European countries.

AIMS AND OBJECTIVES: To examine the association between registered nurses' (referred to as "nurses" for brevity) shifts of 12 hr or more and presence of continuing educational programmes; ability to discuss patient care with other nurses; assignments that foster continuity of care; and patient care information being lost during handovers. BACKGROUND: The introduction of long shifts (i.e., shifts of 12 hr or more) remains controversial. While there are claims of efficiency, studies have shown long shifts to be associated with adverse effects on quality of care. Efficiency claims are predicated on the assumption that long shifts reduce overlaps between shifts; these overlaps are believed to be unproductive and dangerous. However, there are potentially valuable educational and communication activities that occur during these overlaps. DESIGN: Cross-sectional survey of 31,627 nurses within 487 hospitals in 12 European countries. METHODS: The associations were measured through generalised linear mixed models. The study methods were compliant with the STROBE checklist. RESULTS: When nurses worked shifts of 12 hr or more, they were less likely to report having continuing educational programmes; and time to discuss patient care with other nurses, compared to nurses working 8 hr or less. Nurses working shifts of 12 hr or more were less likely to report assignments that foster continuity of care, albeit the association was not significant. Similarly, working long shifts was associated with reports of patient care information being lost during handovers, although association was not significant. CONCLUSION: Working shifts of 12 hr or more is associated with reduced educational activities and fewer opportunities to discuss patient care, with potential negative consequences for safe and effective care. RELEVANCE TO CLINICAL PRACTICE: Implementation of long shifts should be questioned, as reduced opportunity to discuss care or participate in educational activities may jeopardise the quality and safety of care for patients.

What is the nursing time and workload involved in taking and recording patients' vital signs? A systematic review.

AIMS AND OBJECTIVES: To synthesise evidence regarding the time nurses take to monitor and record vital signs observations and to calculate early warning scores. BACKGROUND: While the importance of vital signs' monitoring is increasingly highlighted as a fundamental means of maintaining patient safety and avoiding patient deterioration, the time and associated workload involved in vital signs activities for nurses are currently unknown. DESIGN: Systematic review. METHODS: A literature search was performed up to 17 December 2019 in CINAHL, Medline, EMBASE and the Cochrane Library using the following terms: vital signs; monitoring; surveillance; observation; recording; early warning scores; workload; time; and nursing. We included studies performed in secondary or tertiary ward settings, where vital signs activities were performed by nurses, and we excluded qualitative studies and any research conducted exclusively in paediatric or maternity settings. The study methods were compliant with the PRISMA checklist. RESULTS: Of 1,277 articles, we included 16 papers. Studies described taking vital signs observations as the time to measure/collect vital signs and time to record/document vital signs. As well as mean times being variable between studies, there was considerable variation in the time taken within some studies as standard deviations were high. Documenting vital signs observations electronically at the bedside was faster than documenting vital signs away from the bed. CONCLUSIONS: Variation in the method(s) of vital signs measurement, the timing of entry into the patient record, the method of recording and the calculation of early warning scores values across the literature make direct comparisons of their influence on total time taken difficult or impossible. RELEVANCE TO CLINICAL PRACTICE: There is a very limited body of research that might inform workload planning around vital signs observations. This uncertainty means the resource implications of any recommendation to change the frequency of observations associated with early warning scores are unknown.

Impact of volunteers in the emergency department.

BACKGROUND: Fundamental aspects of patient experience have been reported as substandard in emergency departments. Hospital volunteers can improve the patient experience in inpatient settings. However, evidence is limited on their impact in emergency departments. AIMS: To determine whether emergency department volunteers could enhance patient experience through assisting with the psychological aspect of patient care and patients' nutritional needs. METHODS: Patients attending an emergency department responded to a questionnaire as part of a cross-sectional study. Comparisons were made between when the volunteer scheme was running and when there were no volunteers. Outcomes included patient experience of emotional support from staff and access to food and drink. RESULTS: Patients present when the volunteer scheme was running reported obtaining food and drink more often (96/124 vs 20/39, % rate difference 26, 95% CI 10-42, P=0.002) and that a member of staff offered them something to eat and drink more frequently (96/146 vs 19/52, % rate difference 29, 95% CI 14-45, P<0.001). There was no difference between patient responses when the volunteer scheme was running and not for emotional support from staff (49/68 vs 14/21, % rate difference 5, 95% CI -17-28, P=0.63). CONCLUSIONS: Hospital volunteers made a substantial contribution to providing food and drink to patients in the emergency department. Emotional support from volunteers was limited.

Electrophoretic NMR Characterization of Charged Side Chain Cationic Polyelectrolytes and Their Interaction with the Anionic Surfactant, Sodium Dodecyl Sulfate.

Oppositely charged polymers and surfactants show a complex phase behavior with large regions of solubility and insolubility dependent on the concentrations of the species present. Here, a series of quaternized hydroxyethyl cellulose (cationic) polymers have been characterized by pulsed-gradient spin-echo NMR (PGSE-NMR) and electrophoretic NMR (eNMR) in simple aqueous (D2O) solutions and in combination with the oppositely charged (anionic) surfactant, sodium dodecyl sulfate (SDS). Analysis of the effective charge on the polymer derived from both the eNMR and PGSE-NMR results yields a readily interpretable insight into the polymer behavior; the effective charge on the polymer at infinite dilution shows a linear relationship with the degree of modification. On addition of low concentrations of SDS, typically Csurf < 5 mM, the surfactant interacts with the charged polymers, leading to substantial changes in the dynamics of the system (polymer diffusion, viscosity). At these levels of surfactant addition, there is no macroscopic phase separation. Further, with the absence of an interaction with the parent, the uncharged polymer strongly suggests that the SDS only interacts with the charged moieties present on the functionalized side groups and not the polymer backbone. Ultimately, the charge on the soluble polymer/surfactant complex was found to depend linearly on the level of surfactant binding across a series of polymers with differing levels of modification with the charge becoming effectively zero at the macroscopic phase separation boundary.