The introduction of a 42 + 4 h work week for surgical residents in Switzerland - a stakeholder analysis.

BACKGROUND: The Swiss national union of residents and attendings (VSAO) has voiced its desire for a transition from the current 48 h work week to a 42 + 4 h work week, in which 42 h be focused on patient care with the remaining 4 h be dedicated solely to training purposes. This could potentially result in a significant decrease in surgical education time. The current study seeks to address the issues involved in its implementation as well as possible compensatory mechanisms. METHODS: This mixed methods study seeks to clearly underline the challenges associated with the implementation of a 42 + 4 h work week. First, the major stakeholders were identified and analysed via umbrella review. Thereafter, a classic stakeholder analysis was performed. Via morphological matrix, possible models for the implementation of a 42 + 4 h work week were developed and evaluated. Finally, representatives from the identified stakeholder groups were interviewed and given the opportunity to provide feedback. RESULTS: A total of 26 articles were identified by the literature search and were used to identify the major stakeholders and issues involved in the implementation of the desired work hour regulation. Overall, these showed conflicting results with regard to the effect decreased working hours would have on surgical training and patient outcomes. In the end, the morphological matrix produced three feasible and desirable models for the implementation of a 42 + 4 h work week. Each included compensatory mechanisms like auxiliary staff, reduction in administrative tasks, and a switch to EPAs. In their interviews, the stakeholders generally supported these solutions. CONCLUSION: Given the increasing emphasis on the importance of a positive work-life balance, it seems inevitable that the next few years will see the introduction of a 42 + 4 h work week in Switzerland. However, it is imperative that every effort be made to preserve the quality of training and patient care for the next generations. This will require the cooperation of all stakeholders in order to find workable solutions.

The potential of patient-based nurse staffing - a queuing theory application in the neonatal intensive care setting.

Faced by a severe shortage of nurses and increasing demand for care, hospitals need to optimally determine their staffing levels. Ideally, nurses should be staffed to those shifts where they generate the highest positive value for the quality of healthcare. This paper develops an approach that identifies the incremental benefit of staffing an additional nurse depending on the patient mix. Based on the reasoning that timely fulfillment of care demand is essential for the healthcare process and its quality in the critical care setting, we propose to measure the incremental benefit of staffing an additional nurse through reductions in time until care arrives (TUCA). We determine TUCA by relying on queuing theory and parametrize the model with real data collected through an observational study. The study indicates that using the TUCA concept and applying queuing theory at the care event level has the potential to improve quality of care for a given nurse capacity by efficiently trading situations of high versus low workload.

Outcomes-Based Nurse Staffing During Times of Crisis and Beyond.

Nurse staffing is linked to safety, quality, and experience outcomes. In the context of the COVID-19 pandemic, staffing has become more critical as overwhelming demand has met diminishing supply of healthy nurses, capacity for care, and the innovation necessary to deliver optimal quality and experience to patients and the people who care for them. Press Ganey data scientists, along with industry experts, sought to evaluate staffing before the pandemic and its effects on clinical quality, experience, and nurse engagement. Furthermore, interviews with expert nurse researchers and nursing leaders helped to identify the kind of innovation necessary to accommodate the variable demand in patient volumes, acuity, nurse availability, and teamwork. Valuable insights from this work will help healthcare leaders in their quest to optimize nursing care.

National radiology on-call survey: a cross-sectional survey investigating diagnostic radiology on-call provision by trainees out of hours.

AIMS: To investigate how diagnostic radiology on-call work is conducted by trainees out of hours, and to explore how this on-call experience may be improved from a trainee perspective. MATERIALS AND METHODS: A nationwide online questionnaire was distributed to each radiology training scheme. A trainee on the diagnostic on-call rota completed the questionnaire on behalf of the scheme. Twenty-six questions spanning four domains were assessed exploring how radiology service provision is performed by trainees out of hours, and ways to improve it. RESULTS: Forty schemes responded, representing the entire population size. Twenty-eight (70%) schemes formally assessed trainees prior to joining the on-call rota. Almost half (46%) of trainees start verifying reports independently at ST2. The most common combinations of imaging performed out of hours accounting for 32% each were: (1) computed tomography (CT), magnetic resonance imaging (MRI), ultrasound, and radiography; and (2) CT, ultrasound and radiography. A majority of schemes (54%) had a fixed number of trainees across all shift types. CONCLUSION: Radiology on-call provision by trainees varies considerably. Common factors between schemes include all trainees providing an on-call service on weekend day shifts. The most sought-after recommendation to improve the on-call experience was to introduce a collaborative reporting on-call hub set-up where trainees cross-cover multiple sites remotely as a team. Further analytical studies are needed to assess if any relationships between on-call set-up and trainee satisfaction exist.

London 2017: Lessons learned in transfusion emergency planning.

BACKGROUND AND OBJECTIVES: Hospitals prepare for emergencies, but the impact on transfusion staff is rarely discussed. We describe the transfusion response to four major incidents (MIs) during a 6-month period. Three events were due to terrorist attacks, and the fourth was the Grenfell Tower fire. The aim of this paper was to share the practical lessons identified. METHODS: This was a retrospective review of four MIs in 2017 using patient administration systems, MI documentation and post-incident debriefs. Blood issue, usage and adverse events during the four activation periods were identified using the Laboratory Information Management System (TelePath). RESULTS: Thirty-four patients were admitted (18 P1, 4 P2, 11 P3 and 1 dead). Forty-five blood samples were received: 24 related to nine MI P1 patients. Four P1s received blood components, three with trauma and one with burns, and 35 components were issued. Total components used were six red blood cells (RBC), six fresh frozen plasma (FFP) and two cryoprecipitate pools. Early lessons identified included sample labelling errors (4/24). Errors resolved following the deployment of transfusion staff within the emergency department. Components were over-ordered, leading to time-expiry wastage of platelets. Careful staff management ensured continuity of transfusion services beyond the immediate response period. Debriefing sessions provided staff with support and enabled lessons to be shared. CONCLUSIONS: Transfusion teams were involved in repeated incidents. The demand for blood was minimal. Workload was related to sample handling rather than component issue. A shared situational awareness would improve stock management. A laboratory debriefing system offered valuable feedback for service improvement, staff training and support.

Service reconfiguration in the department of hand surgery during the UK COVID-19 lockdown: Birmingham experience.

In early 2020, the COVID-19 pandemic swept through the UK and had a major impact on healthcare services. The Birmingham hand centre, one of the largest hand trauma units in the country, underwent a dramatic service reconfiguration to enable robust and safe provision of care that would withstand the peak of the pandemic. Streamlining our service significantly reduced patient footfall and hospital admission while preventing intra-hospital viral transmission. Many of the changes implemented have been kept as permanent adjustments to our practice as this new model of care yields higher patient satisfaction and efficacy to withstand the pressures of further peaks in the pandemic.

How Do Healthcare Executives Understand and Make Decisions about Spiritual Care Provision?

OBJECTIVES: This pilot study explores how healthcare leaders understand spiritual care and how that understanding informs staffing and resource decisions. METHODS: This study is based on interviews with 11 healthcare leaders, representing 18 hospitals in 9 systems, conducted between August 2019 and February 2020. RESULTS: Leaders see the value of chaplains in terms of their work supporting staff in tragic situations and during organizational change. They aim to continue to maintain chaplaincy efforts in the midst of challenging economic realities. CONCLUSIONS: Chaplains' interactions with staff alongside patient outcomes are a contributing factor in how resources decisions are made about spiritual care.

Effect of Shared Governance on Nurse-Sensitive Indicator and Satisfaction Outcomes by Magnet® Recognition Status.

OBJECTIVE: Researchers examined associations between Index for Professional Nursing Governance (IPNG) types and outcomes. BACKGROUND: Effects of professional nursing governance on nurse-related outcomes by Magnet® status are not well studied. METHODS: Associations were evaluated between average IPNG scores from 2170 RNs, and nurse-sensitive indicators (NSIs) as well as patient and RN satisfaction outcomes (N = 205 study units; 20 hospitals), following Magnet requirements. RESULTS: Magnet hospitals had significantly better IPNG shared governance scores than non-Magnet hospitals (Magnet, 106.7; non-Magnet, 101.3). For Magnet hospitals, units scoring as shared governance outperformed traditional governance for 9 of 19 outcomes (47.4%) (NSI, 2; patient satisfaction, 3; RN satisfaction, 4). Self-governance outperformed shared governance for 8 of 15 outcomes (53.3%) (NSI, 2; patient satisfaction, 6; RN satisfaction, 0). For non-Magnet hospitals, shared governance significantly outperformed traditional governance for 1 of 15 outcomes (6.7%) (patient satisfaction). CONCLUSIONS: Having shared or self-governance is a strategy that can be considered by nurse leaders to improve select nurse-related outcomes.

Why Some Nurses Obtain Specialty Certification and Others Do Not.

OBJECTIVE: The aim of this study was to determine whether there are modifiable characteristics of nurses and hospitals associated with nurse specialty certification. BACKGROUND: Hospitals, nurses, and patients benefit from nurse specialty certification, but little actionable evidence guides administrators seeking higher hospital certification rates. METHODS: This is a cross-sectional, secondary data analysis of 20 454 nurses in 471 hospitals across 4 states. RESULTS: Rates of certified nurses varied significantly across hospitals. Higher odds of certification were associated with Magnet® recognition and better hospital work environments at the facility level, and with BSN education, unit type (most notably, oncology), older age, more years of experience, and full-time employment at the individual nurse level. CONCLUSION: Two strategies that hold promise for increasing nurse specialty certification are improving hospital work environments and preferentially hiring BSN nurses.

Nursing's Staffing Mandate: Build a More Flexible Workforce.

The COVID-19 pandemic exhausted the nursing workforce, casting doubt that future supply will meet demand. To preserve their workforces, nursing leaders are offering emotional support to the frontline. Although these efforts are essential, leaders are overlooking an untapped opportunity to safeguard staffing levels: creating a more flexible nursing workforce. In this article, the authors discuss flexible nurse staffing and suggest 4 key opportunities for improvement.

Tiered Model of Nurse Staffing for Critical Care and Emergency Departments in the Wake of a Pandemic.

AIM: To identify strategies that increase hospital bed capacity, material resources, and available nurse staffing during a national pandemic. BACKGROUND: The COVID-19 outbreak resulted in an influx of acutely ill patients requiring critical care. The volume and acuity of this patient population increased the demand for care and stretched hospitals beyond their capacity. While increasing hospital bed capacity and material resources are crucial, healthcare systems have noted one of the greatest limitations to rapid expansion has been the number of available medical personnel, particularly those trained in emergency and critical care nursing. EVALUATION: Program evaluation occurred on a daily basis with hospital throughput, focusing on logistics including our ability to expand bed volume, resource utilization, and the ability to meet staffing needs. CONCLUSION: This article describes how a quaternary care hospital in New York City prepared for the COVID-19 surge in patients by maximizing and shifting nursing resources to its most impacted services, the emergency department (ED) and the intensive care units (ICUs). A tier-based staffing model and rapid training were operationalized to address nurse-staffing shortages in the ICU and ED, identifying key factors for swift deployment. IMPLICATIONS FOR NURSING MANAGERS: Frequent communication between staff and leaders improves teamwork and builds trust and buy-in during normal operations and particularly in times of crisis.

An Analysis of the Application of the Harmony Search Algorithm to Solving the Nurse Rostering Problem.

The nurse rostering problem describes the task of distributing nurses over working time slots, called shifts, in such a way that the workforce demand for each shift in a scheduling period is met, while ensuring that each nurse is not overttasked or undertasked. This problem is a major issue in Ghana, which this research aims to tackle. To that end, the performance of a heuristic algorithm that showed promise, called the Harmony Search algorithm, is examined. The algorithm, as applied to solving the nurse rostering problem in a hospital in Ghana, was implemented and evaluated with the Python programming language. The results suggest that the algorithm performs well in generating 1-week duty rosters but falters for extended periods, indicating that it may not on its own be potent enough to handle optimization problems. Finally, we outline some recommendations future researchers may want to note.

A critical care pandemic staffing framework in Australia.

BACKGROUND: Pandemics and the large-scale outbreak of infectious disease can significantly impact morbidity and mortality worldwide. The impact on intensive care resources can be significant and often require modification of service delivery, a key element which includes rapid expansion of the critical care workforce. Pandemics are also unpredictable, which necessitates rapid decision-making and action which, in the lack of experience and guidance, may be extremely challenging. Recognising the potential strain on intensive care units (ICUs), particularly on staffing, a working group was formed for the purpose of developing recommendations to support decision-making during rapid service expansion. METHODS: The Critical Care Pandemic Staffing Working Party (n = 21), representing nursing, allied health, and medical disciplines, has used a modified consensus approach to provide recommendations to inform multidisciplinary workforce capacity expansion planning in critical care. RESULTS: A total of 60 recommendations have been proposed which reflect general recommendations as well as those specific to maintaining the critical care workforce, expanding the critical care workforce, rostering and allocation of the critical care workforce, nurse-specific recommendations for staffing the ICU, education support and training during ICU surge situations, workforce support, models of care, and de-escalation. CONCLUSION: These recommendations are provided with the intent that they be used to guide interdisciplinary decision-making, and we suggest that careful consideration is given to the local context to determine which recommendations are most appropriate to implement and how they are prioritised. Ongoing evaluation of recommendation implementation and impact will be necessary, particularly in rapidly changing clinical contexts.

In-House, Overnight Physician Staffing: A Cross-Sectional Survey of Canadian Adult ICUs.

OBJECTIVES: Overnight physician staffing in the ICU has been recommended by the Society of Critical Care Medicine and the Leapfrog Consortium. We conducted a survey to review practice in the current era and to compare this with results from a 2006 survey. DESIGN: Cross-sectional survey. SETTING: Canadian adult ICUs. PARTICIPANTS: ICU directors. INTERVENTIONS: None. MEASUREMENT AND MAIN RESULTS: A 29-question survey was sent to ICU directors describing overnight staffing by residents, fellows, nurse practitioners, and staff physicians, as well as duty duration, clinical responsibilities, and unit characteristics. We established contact with 122 ICU directors, of whom 107 (88%) responded. Of the 107 units, 60 (56%) had overnight in-house physicians. Compared with ICUs without overnight in-house physician coverage, ICUs with in-house physicians were in larger hospitals (p < 0.0001), had more beds (p < 0.0001), had more ventilated patients (p < 0.0001), and had more admissions (p < 0.0001). Overnight in-house physicians were first year residents (R1) in 20 of 60 (33%), second to fifth year residents (R2-R5) in 46 of 60 (77%), and Critical Care Medicine trainees in 19 of 60 (32%). Advanced practice nurses provided overnight coverage in four of 107 ICUs (4%). The most senior in-house physician was a staff physician in 12 of 60 ICUs (20%), a Critical Care Medicine trainee in 14 of 60 (23%), and a resident (R2-R5) in 20 of 60 (33%). The duration of overnight duty was on average 20-24 hours in 22 of 46 units (48%) with R2-R5 residents and 14 of 19 units (74%) covered by Critical Care Medicine trainees. CONCLUSIONS: Variability of in-house overnight physician presence in Canadian adult ICUs is linked to therapeutic complexity and unit characteristics and has not changed significantly over the decade since our 2006 survey. Additional evidence about patient and resident outcomes would better inform decisions to revise physician scheduling in Canadian ICUs.

Surgealousy.

Answering the call to care for patients with COVID-19 stirs a range of emotions. This perspective explores an individual surgical resident's early experience in the coronavirus pandemic.

Design and Implementation of a Regional Inpatient Psychiatry Unit for Patients who are Positive for Asymptomatic SARS-CoV-2.

BACKGROUND: Patients with psychiatric illnesses are particularly vulnerable to highly contagious, droplet-spread organisms such as SARS-CoV-2. Patients with mental illnesses may not be able to consistently follow up behavioral prescriptions to avoid contagion, and they are frequently found in settings with close contact and inadequate infection control, such as group homes, homeless shelters, residential rehabilitation centers, and correctional facilities. Furthermore, inpatient psychiatry settings are generally designed as communal spaces, with heavy emphasis on group and milieu therapies. As such, inpatient psychiatry services are vulnerable to rampant spread of contagion. OBJECTIVE: With this in mind, the authors outline the decision process and ultimate design and implementation of a regional inpatient psychiatry unit for patients infected with asymptomatic SARS-CoV-2 and share key points for consideration in implementing future units elsewhere. CONCLUSION: A major takeaway point of the analysis is the particular expertise of trained experts in psychosomatic medicine for treating patients infected with SARS-CoV-2.

Staffing With Disease-Based Epidemiologic Indices May Reduce Shortage of Intensive Care Unit Staff During the COVID-19 Pandemic.

BACKGROUND: Health care worker (HCW) safety is of pivotal importance during a pandemic such as coronavirus disease 2019 (COVID-19), and employee health and well-being ensure functionality of health care institutions. This is particularly true for an intensive care unit (ICU), where highly specialized staff cannot be readily replaced. In the light of lacking evidence for optimal staffing models in a pandemic, we hypothesized that staff shortage can be reduced when staff scheduling takes the epidemiology of a disease into account. METHODS: Various staffing models were constructed, and comprehensive statistical modeling was performed. A typical routine staffing model was defined that assumed full-time employment (40 h/wk) in a 40-bed ICU with a 2:1 patient-to-staff ratio. A pandemic model assumed that staff worked 12-hour shifts for 7 days every other week. Potential in-hospital staff infections were simulated for a total period of 120 days, with a probability of 10%, 25%, and 40% being infected per week when at work. Simulations included the probability of infection at work for a given week, of fatality after infection, and the quarantine time, if infected. RESULTS: Pandemic-adjusted staffing significantly reduced workforce shortage, and the effect progressively increased as the probability of infection increased. Maximum effects were observed at week 4 for each infection probability with a 17%, 32%, and 38% staffing reduction for an infection probability of 0.10, 0.25, and 0.40, respectively. CONCLUSIONS: Staffing along epidemiologic considerations may reduce HCW shortage by leveling the nadir of affected workforce. Although this requires considerable efforts and commitment of staff, it may be essential in an effort to best maintain staff health and operational functionality of health care facilities and systems.

Nurse staffing in large general hospitals in China: an observational study.

BACKGROUND: The appropriate staffing of nurses not only reflects the situation of nursing management of human resource, but also is related to the nursing quality in hospitals. This study investigated the staffing of nurses in large general hospitals in China. METHODS: In this study, a database established by the National Centre for Nursing Care Quality Control, which conducted a national survey of the staffing of nurses in China mainland in 2017, was analysed. The time-point survey data of 20 375 departments in 668 large general hospitals in China were obtained, including the information of nurses and patients during the day (10:00 am) and at night (10:00 pm). Then, the staffing of nurses was evaluated by calculating the nurse to patient ratio (the average number of patients assigned to a nurse, NTP ratio). The Kruskal-Wallis test was performed to compare the NTP ratios during the day and at night among different regions and departments. RESULTS: In large general hospitals, a nurse takes care of eight patients (NTP ratio = 1:8.0) during the day and 23 patients at night (NTP ratio = 1:23) on average. There were significant differences between day and night. In terms of different regions, a nurse in the hospitals in the western region takes care of 7.8 patients during the day (NTP ratio = 1:7.8) on average, and the nursing resource in the western region is more adequate than that in the eastern (1:8.0) and central (1:8.0) regions. At night, the eastern region has a higher level of NTP (1:23.0). In terms of departments, a nurse working in the ICU takes care of two patients during the day (NTP ratio = 1:2.0) and 2.9 patients at night (NTP ratio = 1:2.9). The level of NTP in the oncology department is relatively higher: 9.3 during the day and 34.0 at night. Other departments including internal medicine, surgery, obstetrics and gynaecology, paediatrics, and geriatrics have NTP ratios of 1:7-8 during the day and 1:18-25 at night. CONCLUSIONS: In China, the nurse staffing of large general hospitals has some regional and departmental patterns. The low level of nurse staffing at night may be a problem worthy of attention; the Chinese government needs to establish standards for different periods and departments to improve efficiency and quality of nursing.

'Your country needs you': the ethics of allocating staff to high-risk clinical roles in the management of patients with COVID-19.

As the COVID-19 pandemic impacts on health service delivery, health providers are modifying care pathways and staffing models in ways that require health professionals to be reallocated to work in critical care settings. Many of the roles that staff are being allocated to in the intensive care unit and emergency department pose additional risks to themselves, and new policies for staff reallocation are causing distress and uncertainty to the professionals concerned. In this paper, we analyse a range of ethical issues associated with changes to staff allocation processes in the face of COVID-19. In line with a dominant view in the medical ethics literature, we claim, first, that no individual health professional has a specific, positive obligation to treat a patient when doing so places that professional at risk of harm, and so there is a clear ethical tension in any reallocation process in this context. Next, we argue that the changing asymmetries of health needs in hospitals means that careful consideration needs to be given to a stepwise process for deallocating staff from their usual duties. We conclude by considering how a justifiable process of reallocating professionals to high-risk clinical roles should be configured once those who are 'fit for reallocation' have been identified. We claim that this process needs to attend to three questions that we consider in detail: (1) how the choice to make reallocation decisions is made, (2) what justifiable models for reallocation might look like and (3) what is owed to those who are reallocated.