Clinical Full-Time Equivalent in PICUs: Survey of the U.S. Pediatric Critical Care Chiefs Network, 2020-2022.

OBJECTIVES: To inform workforce planning for pediatric critical care (PCC) physicians, it is important to understand current staffing models and the spectrum of clinical responsibilities of physicians. Our objective was to describe the expected workload associated with a clinical full-time equivalent (cFTE) in PICUs across the U.S. Pediatric Critical Care Chiefs Network (PC3N). DESIGN: Cross-sectional survey. SETTING: PICUs participating in the PC3N. SUBJECTS: PICU division chiefs or designees participating in the PC3N from 2020 to 2022. INTERVENTIONS: None. MEASUREMENTS AND MAIN RESULTS: A series of three surveys were used to capture unit characteristics and clinical responsibilities for an estimated 1.0 cFTE intensivist. Out of a total of 156 PICUs in the PC3N, the response rate was 46 (30%) to all three distributed surveys. Respondents used one of four models to describe the construction of a cFTE-total clinical hours, total clinical shifts, total weeks of service, or % full-time equivalent. Results were stratified by unit size. The model used for construction of a cFTE did not vary significantly by the total number of faculty nor the total number of beds. The median (interquartile range) of clinical responsibilities annually for a 1.0 cFTE were: total clinical hours 1750 (1483-1858), total clinical shifts 142 (129-177); total weeks of service 13.0 (11.3-16.0); and total night shifts 52 (36-60). When stratified by unit size, larger units had fewer nights or overnight hours, but covered more beds per shift. CONCLUSIONS: This survey of the PC3N (2020-2022) provides the most contemporary description of clinical responsibilities associated with a cFTE physician in PCC. A 1.0 cFTE varies depending on unit size. There is no correlation between the model used to construct a cFTE and the associated clinical responsibilities.

Does improved nurse staffing impact patient outcomes in cancer? Association between chronic diseases and mortality among older adult patients with lung cancer in Korea.

BACKGROUND: Evidence regarding the impact of nurse staffing on the health outcomes of older adult patients with cancer is scarce. Therefore, this study aimed to evaluate the impact of nurse staffing on long-term and short-term mortality in elderly lung cancer patients. METHODS: This study analyzed data from 5,832 patients with lung cancer in Korea from 2008 to 2018. Nursing grade was considered to assess the effect of nursing staff on mortality in older adult patients with lung cancer. The Cox proportional hazards model was used to evaluate the effect of the initial treatment hospital's nursing grade on one- and five-year mortality. Additionally, economic status and treatment type of patients were analyzed. RESULTS: Approximately 31% of older adult patients with lung cancer died within one year post-diagnosis. Patients in hospitals with superior nursing grades (lower nurse-to-bed ratios) exhibited lower mortality rates. Hospitals with nursing grades 2 and 3 exhibited approximately 1.242-1.289 times higher mortality than grade 1 hospitals. Further, the lower the nursing grade (higher nurse-to-bed ratio), the higher the five-year mortality rate. CONCLUSION: Both short- and long-term mortality rates for older adult patients with lung cancer increased at inferior nursing grades. Treatment in hospitals having inferior nursing grades, upon initial hospitalization, may yield better outcomes. This study provides valuable insight into the quality of adequate staffing to improve the quality of care for elderly cancer patients.

Peripheral intravenous catheter failure, nurse staffing levels and care complexity individual factors: A retrospective multicentre cohort study.

INTRODUCTION: Short peripheral intravenous catheter (PIVC) failure is a common complication that is generally underdiagnosed. Some studies have evaluated the factors associated with these complications, but the impact of care complexity individual factors and nurse staffing levels on PIVC failure is still to be assessed. The aim of this study was to determine the incidence and risk factors of PIVC failure in the public hospital system of the Southern Barcelona Metropolitan Area. METHODS: A retrospective multicentre observational cohort study of hospitalised adult patients was conducted in two public hospitals in Barcelona from 1st January 2016 to 31st December 2017. All adult patients admitted to the hospitalisation ward were included until the day of discharge. Patients were classified according to presence or absence of PIVC failure. The main outcomes were nurse staffing coverage (ATIC patient classification system) and 27-care complexity individual factors. Data were obtained from electronic health records in 2022. RESULTS: Of the 44,661 patients with a PIVC, catheter failure was recorded in 2,624 (5.9%) patients (2,577 [5.8%] phlebitis and 55 [0.1%] extravasation). PIVC failure was more frequent in female patients (42%), admitted to medical wards, unscheduled admissions, longer catheter dwell time (median 7.3 vs 2.2 days) and those with lower levels of nurse staffing coverage (mean 60.2 vs 71.5). Multivariate logistic regression analysis revealed that the female gender, medical ward admission, catheter dwell time, haemodynamic instability, uncontrolled pain, communication disorders, a high risk of haemorrhage, mental impairments, and a lack of caregiver support were independent factors associated with PIVC failure. Moreover, higher nurse staffing were a protective factor against PIVC failure (AUC, 0.73; 95% confidence interval [CI]: 0.72-0.74). CONCLUSION: About 6% of patients presented PIVC failure during hospitalisation. Several complexity factors were associated with PIVC failure and lower nurse staffing levels were identified in patients with PIVC failure. Institutions should consider that prior identification of care complexity individual factors and nurse staffing coverage could be associated with a reduced risk of PIVC failure.

Contextually appropriate nurse staffing models: a realist review protocol.

INTRODUCTION: Decisions about nurse staffing models are a concern for health systems globally due to workforce retention and well-being challenges. Nurse staffing models range from all Registered Nurse workforce to a mix of differentially educated nurses and aides (regulated and unregulated), such as Licensed Practical or Vocational Nurses and Health Care Aides. Systematic reviews have examined relationships between specific nurse staffing models and client, staff and health system outcomes (eg, mortality, adverse events, retention, healthcare costs), with inconclusive or contradictory results. No evidence has been synthesised and consolidated on how, why and under what contexts certain staffing models produce different outcomes. We aim to describe how we will (1) conduct a realist review to determine how nurse staffing models produce different client, staff and health system outcomes, in which contexts and through what mechanisms and (2) coproduce recommendations with decision-makers to guide future research and implementation of nurse staffing models. METHODS AND ANALYSIS: Using an integrated knowledge translation approach with researchers and decision-makers as partners, we are conducting a three-phase realist review. In this protocol, we report on the final two phases of this realist review. We will use Citation tracking, tracing Lead authors, identifying Unpublished materials, Google Scholar searching, Theory tracking, ancestry searching for Early examples, and follow-up of Related projects (CLUSTER) searching, specifically designed for realist searches as the review progresses. We will search empirical evidence to test identified programme theories and engage stakeholders to contextualise findings, finalise programme theories document our search processes as per established realist review methods. ETHICS AND DISSEMINATION: Ethical approval for this study was provided by the Health Research Ethics Board of the University of Alberta (Study ID Pro00100425). We will disseminate the findings through peer-reviewed publications, national and international conference presentations, regional briefing sessions, webinars and lay summary.

Patient experience and nurse staffing level in South Korea.

Patient experience has recently become a key driver for hospital quality improvement in South Korea, marked by the introduction of the Patient Experience Assessment (PXA) within its National Health Insurance in 2017. While the PXA has garnered special attention from the media and hospitals, there has been a lack of focus on its structural determinants, hindering continuous and sustained improvement in patient experience. Given the relatively low number of practicing nurses per 1000 population in South Korea and the significant variation in nurse staffing levels across hospitals, the staffing level of nurses in hospitals could be a crucial structural determinant of patient experience. This study examines the association between patient experience and hospital nurse staffing levels in South Korea. We used individual- and hospital-level data from the 2019 PXA, encompassing 7250 patients from 42 tertiary hospitals and 16 235 patients from 109 non-tertiary general hospitals with 300 or more beds. The dependent variables were derived from the complete set of 21 proper questions on patient experience in the Nurse and other domains. The main explanatory variable was the hospital-level Nurse Staffing Grade (NSG), employed by the National Health Insurance to adjust reimbursement to hospitals. Multilevel ordered/binomial logistic or linear regression was conducted accounting for other hospital- and patient-level characteristics as well as acknowledging the nested nature of the data. A clear, positive association was observed between patient experience in the Nurse domain and NSG, even after accounting for other characteristics. For example, the predicted probability of reporting the top-box category of "Always" to the question "How often did nurses treat you with courtesy and respect?" was 70.3% among patients from non-tertiary general hospitals with the highest NSG, compared to 63.1% among patients from their peer hospitals with the lowest NSG. Patient experience measured in other domains that were likely to be affected by nurse staffing levels also showed similar associations, although generally weaker and less consistent than in the Nurse domain. Better patient experience was associated with higher hospital nurse staffing levels in South Korea. Alongside current initiatives focused on measuring and publicly reporting patient experience, strengthening nursing and other hospital workforce should also be included in policy efforts to improve patient experience.

An examination of the usefulness of a quantitative appraisal method in nursing human resource management in primary hospital operating rooms: An example of integrated collaborative scheduling.

In recent years, China medical and health services have made great development. However, the management of nursing human resources in operating room of primary hospitals still faces a series of challenges. In the nursing work of operating room, high-quality nursing human resource management is important for improving the efficiency of operating room and ensuring the safety of patients. From January 2022 to December 2022, comprehensive collaborative scheduling and quantitative scoring evaluation methods were carried out in our hospital, and relevant data were collected. The flexible scheduling combined quantitative scoring performance appraisal system and the traditional scheduling plus average distribution performance appraisal system were statistically analyzed and compared in terms of annual surgical cases, annual overtime hours, annual back work hours, annual compensatory rest hours, and average daily working hours. This study was based on 30 medical staff (27 females and 3 males) in the operating room of a primary hospital. The annual operation volume increased by 387 cases compared with before, and the attitudes of patients to the service attitude and preoperative waiting time were significantly improved, reaching more than 95%. In addition, in the survey of surgeons, it was found that their satisfaction with preoperative preparation and operation time was significantly higher than that of the traditional scheduling method, and reached more than 95%. In the survey of nursing staff, it was found that the satisfaction with the traditional scheduling method was about 80%, and the satisfaction directly reached 100% after the comprehensive collaborative scheduling system. Based on the above survey, the satisfaction of nurses, doctors and patients with the new comprehensive collaborative scheduling system has improved compared with before. After the implementation of the comprehensive collaborative scheduling system, the annual surgical volume has increased significantly, and the average daily working hours of nursing staff have decreased. Comprehensive collaborative scheduling is an effective method of nursing human resource management in operating room, which can effectively improve the work efficiency of nurses and the satisfaction of patients, doctors and nurses. In practice, this method needs to be continuously explored and refined to adapt to different application scenarios and requirements.

Effects of Nurse Staffing on Missed Breastfeeding Support in Maternity Units With Different Nurse Work Environments.

PURPOSE: To examine the effect of nurse staffing in varying work environments on missed breastfeeding teaching and support in inpatient maternity units in the United States. BACKGROUND: Breast milk is the optimal food for newborns. Teaching and supporting women in breastfeeding are primarily a nurse's responsibility. Better maternity nurse staffing (fewer patients per nurse) is associated with less missed breastfeeding teaching and support and increased rates of breastfeeding. We examined the extent to which the nursing work environment, staffing, and nurse education were associated with missed breastfeeding care and how the work environment and staffing interacted to impact missed breastfeeding care. METHODS: In this cross-sectional study using the 2015 National Database of Nursing Quality Indicator survey, maternity nurses in hospitals in 48 states and the District of Columbia responded about their workplace and breastfeeding care. Clustered logistic regression models with interactions were used to estimate the effects of the nursing work environment and staffing on missed breastfeeding care. RESULTS: There were 19 486 registered nurses in 444 hospitals. Nearly 3 in 10 (28.2%) nurses reported missing breastfeeding care. In adjusted models, an additional patient per nurse was associated with a 39% increased odds of missed breastfeeding care. Furthermore, 1 standard deviation decrease in the work environment was associated with a 65% increased odds of missed breastfeeding care. In an interaction model, staffing only had a significant impact on missed breastfeeding care in poor work environments. CONCLUSIONS: We found that the work environment is more fundamental than staffing for ensuring that not only breastfeeding care is not missed but also breastfeeding care is sensitive to nurse staffing. Improvements to the work environment support the provision of breastfeeding care. IMPLICATIONS FOR RESEARCH AND PRACTICE: Both nurse staffing and the work environment are important for improving breastfeeding rates, but the work environment is foundational.

Primary Care Practice Characteristics Associated With Medical Assistant Staffing Ratios.

This study characterized adult primary care medical assistant (MA) staffing. National Survey of Healthcare Organizations and Systems (n = 1,252) data were analyzed to examine primary care practice characteristics associated with MA per primary care clinician (PCC) staffing ratios. In 2021, few practices (11.4%) had ratios of 2 or more MAs per PCCs. Compared with system-owned practices, independent (odds ratio [OR] = 1.76, P <0.05) and medical group-owned (OR = 2.09, P <0.05) practices were more likely to have ratios of 2 or more MAs per PCCs, as were practices with organizational cultures oriented to innovation (P <0.05). Most primary care practices do not have adequate MA staffing.

Status of the midwifery workforce and childbirth services and the impact of midwife staffing on birth outcomes in China: a multicentre cross-sectional study.

OBJECTIVE: To investigate the status of the midwifery workforce and childbirth services in China and to identify the association between midwife staffing and childbirth outcomes. DESIGN: A descriptive, multicentre cross-sectional survey. SETTING: Maternity hospitals from the eastern, central and western regions of China. PARTICIPANTS: Stratified sampling of maternity hospitals between 1 July and 31 December 2021.The sample hospitals received a package of questionnaires, and the head midwives from the participating hospitals were invited to fill in the questionnaires. RESULTS: A total of 180 hospitals were selected and investigated, staffed with 4159 midwives, 412 obstetric nurses and 1007 obstetricians at the labour and delivery units. The average efficiency index of annual midwifery services was 272 deliveries per midwife. In the sample hospitals, 44.9% of women had a caesarean delivery and 21.4% had an episiotomy. Improved midwife staffing was associated with reduced rates of instrumental vaginal delivery (adjusted ß -0.032, 95% CI -0.115 to -0.012, p<0.05) and episiotomy (adjusted ß -0.171, 95% CI -0.190 to -0.056, p<0.001). CONCLUSION: The rates of childbirth interventions including the overall caesarean section in China and the episiotomy rate, especially in the central region, remain relatively high. Improved midwife staffing was associated with reduced rates of instrumental vaginal delivery and episiotomy, indicating that further investments in the midwifery workforce could produce better childbirth outcomes.

Nurse Staffing, Work Hours, Mandatory Overtime, and Turnover in Acute Care Hospitals Affect Nurse Job Satisfaction, Intent to Leave, and Burnout: A Cross-Sectional Study.

Objectives: This study examined the impact of nurse staffing, working hours, mandatory overtime, and turnover on nurse outcomes in acute care hospitals. Previous studies have focused on the single characteristics of sub-optimal nurse staffing but have not considered them comprehensively. Methods: Data were collected in July-September 2022 using convenience sampling and an online survey (N = 397). For the analysis, 264 nurses working as staff nurses at 28 hospitals met the inclusion criteria. Univariate analysis and multivariable generalized estimating equation (GEE) were performed. Results: Both nurse staffing (ß = -0.036, standard error [SE] = 0.011) and turnover (ß = -0.006, SE = 0.003) were significant factors affecting job satisfaction. In the multivariable GEE, only mandatory overtime (ß = 0.395, SE = 0.116) was significantly related to intent to leave. Nurse staffing, work hours, mandatory overtime, and turnover were not significantly related to burnout. Subjective health status and workload were significantly associated with burnout. Conclusion: Nurse staffing policies and improvement programs in hospitals should be implemented to improve nurses' job satisfaction. Labor policy should ban mandatory overtime.

A Wake-Up Call to Address Nurse Fatigue.

Research exploring differences in fatigue and sleep quality between day- and night-shift nurses highlights the urgent need for action to mitigate nurse fatigue. Nurses need to prioritize their sleep, and nurse leaders must take proactive measures such as providing education for all doing shiftwork, ensuring completion of job requirements during the shift, and creating a culture where nurses take their scheduled breaks.

Staffing and Antipsychotic Medication Use in Nursing Homes and Neighborhood Deprivation.

Importance: Inappropriate use of antipsychotic medications in nursing homes is a growing public health concern. Residents exposed to higher levels of socioeconomic deprivation in the area around a nursing home may be currently exposed, or have a long history of exposure, to more noise pollution, higher crime rates, and have less opportunities to safely go outside the facility, which may contribute to psychological stress and increased risk of receiving antipsychotic medications inappropriately. However, it is unclear whether neighborhood deprivation is associated with use of inappropriate antipsychotic medications and whether this outcome is different by facility staffing levels. Objective: To evaluate whether reported inappropriate antipsychotic medication use differs in severely and less severely deprived neighborhoods, and whether these differences are modified by higher levels of total nurse staffing. Design, Setting, and Participants: This was a cross-sectional analysis of a national sample of nursing homes that linked across 3 national large-scale data sets for the year 2019. Analyses were conducted between April and June 2023. Exposure: Neighborhood deprivation status (severe vs less severe) and total staffing hours (registered nurse, licensed practical nurse, certified nursing assistant). Main Outcome and Measures: This study estimated the association between neighborhood deprivation and the percentage of long-stay residents who received an antipsychotic medication inappropriately in the nursing home at least once in the past week and how this varied by nursing home staffing through generalized estimating equations. Analyses were conducted on the facility level and adjusted for state fixed effects. Results: This study included 10 966 nursing homes (1867 [17.0%] in severely deprived neighborhoods and 9099 [83.0%] in less deprived neighborhoods). Unadjusted inappropriate antipsychotic medication use was greater in nursing homes located in severely deprived neighborhoods (mean [SD], 15.9% [10.7%] of residents) than in those in less deprived neighborhoods (mean [SD], 14.2% [8.8%] of residents). In adjusted models, inappropriate antipsychotic medication use was higher in severely deprived neighborhoods vs less deprived neighborhoods (19.2% vs 17.1%; adjusted mean difference, 2.0 [95% CI, 0.35 to 3.71] percentage points) in nursing homes that fell below critical levels of staffing (less than 3 hours of nurse staffing per resident-day). Conclusions and Relevance: These findings suggest that levels of staffing modify disparities seen in inappropriate antipsychotic medication use among nursing homes located in severely deprived neighborhoods compared with nursing homes in less deprived neighborhoods. These findings may have important implications for improving staffing in more severely deprived neighborhoods.