Staffing Levels In Hospitals Research Articles

Staffing levels and hospital mortality in England: a national panel study using routinely collected data

ObjectivesExamine the association between multiple clinical staff levels and case-mix adjusted patient mortality in English hospitals. Most studies investigating the association between hospital staffing levels and mortality have focused on...

Resources availability and COVID-19 mortality among US counties.

The COVID-19 was declared a pandemic by WHO on 03/2020 has claimed millions of lives worldwide. The US leads all countries in COVID-19-related deaths. Individual level (preexisting conditions and demographics) and county-level (availability of resources) factors have been attributed to increased risk of COVID-19-related deaths. This study builds on previous studies to assess the relationship between county-level resources and COVID-19 mortality among 2,438 US counties. We merged 2019 data from AHA, AHRF, and USA FACTS. The dependent variable was the total number of COVID-19-related deaths. Independent variables included county-level resources: (1) hospital staffing levels (FTE RNs, hospitalists, and intensivists) per 10,000 population; (2) hospital capacity (occupancy rate, proportion of teaching hospitals, and number of airborne infection control rooms per 10,000 population); and (3) macroeconomic resources [per capita income and location (urban/rural)]. We controlled for population 65+, racial/ethnic minority, and COVID-19 deaths per 1,000 population. A negative binomial regression was used. Hospital staffing per 10,000 population {FTE RN [IRR = 0.997; CI (0.995-0.999)], FTE hospitalists [IRR = 0.936; CI (0.897-0.978)], and FTE intensivists [IRR = 0.606; CI (0.516-0.712)]} was associated with lower COVID-19-related deaths. Hospital occupancy rate, proportion of teaching hospitals, and total number of airborne infection control rooms per 10,000 population were positively associated with COVID-19-related deaths. Per capita income and being in an urban county were positively associated with COVID-19-related deaths. Finally, the proportion of 65+, racial/ethnic minorities, and the number of cases were positively associated with COVID-19-related deaths. Our findings suggest that focusing on maintaining adequate hospital staffing could improve COVID-19 mortality.

Perspectives of health service providers in delivering best-practice care for Aboriginal mothers and their babies during the postnatal period

BackgroundEvidence suggests that Aboriginal babies in Western Australia are not receiving adequate primary health care in their first 3 months of life, leading to questions about enablers and constraints to delivering such care. This paper presents findings from a qualitative research project investigating health providers’ perceptions and experiences of best and current practice in discharge planning, postnatal care and health education for Aboriginal mothers and their newborn babies.MethodsConstructivist grounded theory guided this research involving 58 semi-structured interviews conducted with health providers who deliver care to Aboriginal mothers and infants. Participants were recruited from hospital-based and primary health sites in metropolitan Perth, and regional and remote locations in Western Australia.ResultsStructural factors enabling best practice in discharge planning, postnatal care, and health education for mothers included health providers following best practice guidelines and adequate staffing levels. Organisational enablers included continuity of care throughout pregnancy, birth and postnatally. In particular, good communication between services around discharge planning, birth notifications, and training in culturally respectful care. Structural and organisational constraints to delivering best practice and compromising continuity of care were identified as beyond individual control. These included poor communication between different health and social services, insufficient hospital staffing levels leading to early discharge, inadequate cultural training, delayed receipt of birth notifications and discharge summaries received by Aboriginal primary health services.ConclusionFindings highlight the importance of examining current policies and practices to promote best practice in postnatal care to improve health outcomes for mothers and their Aboriginal babies.

The Impact of Changes in Mental Health Legislation on Psychiatry Trainee Stress in Victoria, Australia.

In Victoria, Australia, the introduction of a new state Mental Health Act (MHA) in 2014 resulted in changes to the workload and type of work undertaken by trainee psychiatrists. In addition to long working hours, workload intensity is most often cited by trainees as a factor that leads to fatigue, with trainees often taking work home or doing overtime in order to fulfill work responsibilities and satisfy training requirements. This administrative burden is compounded by the high emotional burden associated with the practice of psychiatry, including patient suicides, aggression, and threats. This study aimed to explore the impact of these legislative changes on psychiatry trainees' stress and well-being, using a qualitative research methodology involving semi-structured interviews. Despite reporting that the length and number of reports they were preparing under the new MHA had increased, as had the amount of time spent at Tribunal hearings, psychiatry trainees were understanding of the necessity of MHA changes in improving patient rights. The trainees did not express a desire for the MHA changes to be reversed, but rather recognition by their workplaces that changes are also needed at a ground level-such as an increase in staff numbers-to accommodate for these. While mental health legislative changes are designed to improve the system and better protect patient rights, measures must also be taken to ensure that any policy-level changes are adequately adjusted for in hospital staffing levels.

Is there an association between hospital staffing levels and inpatient-COVID-19 mortality rates?

ObjectiveThis study aims to investigate the relationship between RNs and hospital-based medical specialties staffing levels with inpatient COVID-19 mortality rates.MethodsWe relied on data from AHA Annual Survey Database, Area Health Resource File, and UnitedHealth Group Clinical Discovery Database. In phase 1 of the analysis, we estimated the risk-standardized event rates (RSERs) based on 95,915 patients in the UnitedHealth Group Database 1,398 hospitals. We then used beta regression to analyze the association between hospital- and county- level factors with risk-standardized inpatient COVID-19 mortality rates from March 1, 2020, through December 31, 2020.ResultsHigher staffing levels of RNs and emergency medicine physicians were associated with lower COVID-19 mortality rates. Moreover, larger teaching hospitals located in urban settings had higher COVID-19 mortality rates. Finally, counties with greater social vulnerability, specifically in terms of housing type and transportation, and those with high infection rates had the worst patient mortality rates.ConclusionHigher staffing levels are associated with lower inpatient mortality rates for COVID-19 patients. More research is needed to determine appropriate staffing levels and how staffing levels interact with other factors such as teams, leadership, and culture to impact patient care during pandemics.

Factors related to the implementation of Evidenced-based practice (EBP) of nursing staffing levels in Hospitals: A Literature Review

The implementation of Evidenced-based practice (EBP) was one of the factors in increasing the quality of health services as an ideal problem-solving approach. The ability of nurses to appliance EBP was influenced by many factors, not only on individual nurses consisting by the support of unit leader and colleague. The purpose of this study was to determine the factors associated with the implementation of EBP at the care room level establishing on the support of coworkers and nursing managers. This writing used a literature review study, from several databases namely PubMed, ProQuest, Google Scholar, and ScienceDirect with a limitation of the last 5 years. 17 journals met the inclusion criteria and the results of a literature review study show: eight journals conclude that the support of colleagues and authority in changing practices affects the implementation of EBP, 13 journals concluded the role of managerial nurses affects the implementation of EBP consisting of leadership support and mentorship including the lack of knowledge and skills of nursing leaders regarding EBP. Data from the collected and identified literature study clearly showed that EBP knowledge and skills of nursing leaders related to EBP are important factors in increasing the implementation of EBP but co-worker factors can be a supporter and also an obstacle to the implementation of EBP if it is not well managed.

The Impact of Market Conditions on RN Staffing in Hospitals: Using Resource Dependence Theory and Information Uncertainty Perspective.

PurposeDue to a limited number of studies with generalizable findings on the relationships between market conditions and RN staffing levels in hospitals, this study examined such relationships employing a longitudinal design with a representative national sample.Materials and MethodsWe used longitudinal panel datasets from 2006 to 2010, drawn from various datasets including the American Hospital Association Annual Survey Database and the Area Health Resource File. A random-effects linear regression model was used to measure the influence of market conditions on RN staffing levels.ResultsThe results of this study showed that market conditions were significantly associated with RN staffing levels in hospitals. First, an increase in per capita income and being located in urban rather than rural areas were associated with a greater number of RNs per 1,000 inpatient days and a higher ratio of RNs to LPNs and nursing aides. In addition, an increase in the number of physician specialists was associated with an increase in the number of RNs per 1,000 inpatient days. Second, an increase in Medicare HMO penetration in the environment was related to an increase in the RNs to LPNs and nursing aides ratio. Lastly, an increase in market competition was associated with an increase in the number RNs per 1,000 inpatient days and the ratio of RNs to LPNs and nursing aides.ConclusionThe findings of this study suggest that staffing decision makers in hospitals should consider how to best align their RN staffing levels with their operating environment. In addition, health policy makers may improve the levels the RN supply in communities that needs more RNs by modulating external environmental forces (eg, specialist resources) that influence RN staffing levels in hospitals.

The Ontology of Biological and Clinical Statistics (OBCS) for standardized and reproducible statistical analysis.

BackgroundStatistics play a critical role in biological and clinical research. However, most reports of scientific results in the published literature make it difficult for the reader to reproduce the statistical analyses performed in achieving those results because they provide inadequate documentation of the statistical tests and algorithms applied. The Ontology of Biological and Clinical Statistics (OBCS) is put forward here as a step towards solving this problem.ResultsThe terms in OBCS including ‘data collection’, ‘data transformation in statistics’, ‘data visualization’, ‘statistical data analysis’, and ‘drawing a conclusion based on data’, cover the major types of statistical processes used in basic biological research and clinical outcome studies. OBCS is aligned with the Basic Formal Ontology (BFO) and extends the Ontology of Biomedical Investigations (OBI), an OBO (Open Biological and Biomedical Ontologies) Foundry ontology supported by over 20 research communities. Currently, OBCS comprehends 878 terms, representing 20 BFO classes, 403 OBI classes, 229 OBCS specific classes, and 122 classes imported from ten other OBO ontologies.We discuss two examples illustrating how the ontology is being applied. In the first (biological) use case, we describe how OBCS was applied to represent the high throughput microarray data analysis of immunological transcriptional profiles in human subjects vaccinated with an influenza vaccine. In the second (clinical outcomes) use case, we applied OBCS to represent the processing of electronic health care data to determine the associations between hospital staffing levels and patient mortality. Our case studies were designed to show how OBCS can be used for the consistent representation of statistical analysis pipelines under two different research paradigms. Other ongoing projects using OBCS for statistical data processing are also discussed.The OBCS source code and documentation are available at: https://github.com/obcs/obcs.ConclusionsThe Ontology of Biological and Clinical Statistics (OBCS) is a community-based open source ontology in the domain of biological and clinical statistics. OBCS is a timely ontology that represents statistics-related terms and their relations in a rigorous fashion, facilitates standard data analysis and integration, and supports reproducible biological and clinical research.

Managers' use of nursing workforce planning and deployment technologies: protocol for a realist synthesis of implementation and impact.

IntroductionNursing staffing levels in hospitals appear to be associated with improved patient outcomes. National guidance indicates that the triangulation of information from workforce planning and deployment technologies (WPTs; eg, the Safer Nursing Care Tool) and ‘local knowledge’ is important for managers to achieve appropriate staffing levels for better patient outcomes. Although WPTs provide managers with predictive information about future staffing requirements, ensuring patient safety and quality care also requires the consideration of information from other sources in real time. Yet little attention has been given to how to support managers to implement WPTs in practice. Given this lack of understanding, this evidence synthesis is designed to address the research question: managers’ use of WPTs and their impacts on nurse staffing and patient care: what works, for whom, how and in what circumstances?Methods and analysisTo explain how WPTs may work and in what contexts, we will conduct a realist evidence synthesis through sourcing relevant evidence, and consulting with stakeholders about the impacts of WPTs on health and relevant public service fields. The review will be in 4 phases over 18 months. Phase 1: we will construct an initial theoretical framework that provides plausible explanations of what works about WPTs. Phase 2: evidence retrieval, review and synthesis guided by the theoretical framework; phase 3: testing and refining of programme theories, to determine their relevance; phase 4: formulating actionable recommendations about how WPTs should be implemented in clinical practice.Ethics and disseminationEthical approval has been gained from the study's institutional sponsors. Ethical review from the National Health Service (NHS) is not required; however research and development permissions will be obtained. Findings will be disseminated through stakeholder engagement and knowledge mobilisation activities. The synthesis will develop an explanatory programme theory of the implementation and impact of nursing WPTs, and practical guidance for nurse managers.Trial registration numberCRD42016038132.

Diurnal variation in the performance of rapid response systems: the role of critical care services-a review article.

The type of medical review before an adverse event influences patient outcome. Delays in the up-transfer of patients requiring intensive care are associated with higher mortality rates. Timely detection and response to a deteriorating patient constitute an important function of the rapid response system (RRS). The activation of the RRS for at-risk patients constitutes the system’s afferent limb. Afferent limb failure (ALF), an important performance measure of rapid response systems, constitutes a failure to activate a rapid response team (RRT) despite criteria for calling an RRT.There are diurnal variations in hospital staffing levels, the performance of rapid response systems and patient outcomes. Fewer ward-based nursing staff at night may contribute to ALF. The diurnal variability in RRS activity is greater in unmonitored units than it is in monitored units for events that should result in a call for an RRT. RRT events include a significant abnormality in either the pulse rate, blood pressure, conscious state or respiratory rate. There is also diurnal variation in RRT summoning rates, with most activations occurring during the day. The reasons for this variation are mostly speculative, but the failure of the afferent limb of RRT activation, particularly at night, may be a factor.The term “circadian variation/rhythm” applies to physiological variations over a 24-h cycle. In contrast, diurnal variation applies more accurately to extrinsic systems. Circadian rhythm has been demonstrated in a multitude of bodily functions and disease states.For example, there is an association between disrupted circadian rhythms and abnormal vital parameters such as anomalous blood pressure, irregular pulse rate, aberrant endothelial function, myocardial infarction, stroke, sleep-disordered breathing and its long-term consequences of hypertension, heart failure and cognitive impairment. Therefore, diurnal variation in patient outcomes may be extrinsic, and more easily modifiable, or related to the circadian variation inherent in human physiology. Importantly, diurnal variations in the implementation and performance of the RRS, as gauged by ALF, the RRT response to clinical deterioration and any variations in quality and quantity of patient monitoring have not been fully explored across a diverse group of hospitals.Electronic supplementary materialThe online version of this article (doi:10.1186/s40560-016-0136-5) contains supplementary material, which is available to authorized users.

Developments in Surge Research Priorities: A Systematic Review of the Literature Following the Academic Emergency Medicine Consensus Conference, 2007–2015

In 2006, Academic Emergency Medicine (AEM) published a special issue summarizing the proceedings of the AEM consensus conference on the "Science of Surge." One major goal of the conference was to establish research priorities in the field of "disasters" surge. For this review, we wished to determine the progress toward the conference's identified research priorities: 1) defining criteria and methods for allocation of scarce resources, 2) identifying effective triage protocols, 3) determining decision-makers and means to evaluate response efficacy, 4) developing communication and information sharing strategies, and 5) identifying methods for evaluating workforce needs. Specific criteria were developed in conjunction with library search experts. PubMed, Embase, Web of Science, Scopus, and the Cochrane Library databases were queried for peer-reviewed articles from 2007 to 2015 addressing scientific advances related to the above five research priorities identified by AEM consensus conference. Abstracts and foreign language articles were excluded. Only articles with quantitative data on predefined outcomes were included; consensus panel recommendations on the above priorities were also included for the purposes of this review. Included study designs were randomized controlled trials, prospective, retrospective, qualitative (consensus panel), observational, cohort, case-control, or controlled before-and-after studies. Quality assessment was performed using a standardized tool for quantitative studies. Of the 2,484 unique articles identified by the search strategy, 313 articles appeared to be related to disaster surge. Following detailed text review, 50 articles with quantitative data and 11 concept papers (consensus conference recommendations) addressed at least one AEM consensus conference surge research priority. Outcomes included validation of the benchmark of 500 beds/million of population for disaster surge capacity, effectiveness of simulation- and Internet-based tools for forecasting of hospital and regional demand during disasters, effectiveness of reverse triage approaches, development of new disaster surge metrics, validation of mass critical care approaches (altered standards of care), use of telemedicine, and predictions of optimal hospital staffing levels for disaster surge events. Simulation tools appeared to provide some of the highest quality research. Disaster simulation studies have arguably revolutionized the study of disaster surge in the intervening years since the 2006 AEM Science of Surge conference, helping to validate some previously known disaster surge benchmarks and to generate new surge metrics. Use of reverse triage approaches and altered standards of care, as well as Internet-based tools such as Google Flu Trends, have also proven effective. However, there remains significant work to be done toward standardizing research methodologies and outcomes, as well as validating disaster surge metrics.

Editorial: The public understanding of nursing – time for a step change?

Editorial: The public understanding of nursing – time for a step change?

‘Care left undone’ during nursing shifts: associations with workload and perceived quality of care

BackgroundThere is strong evidence to show that lower nurse staffing levels in hospitals are associated with worse patient outcomes. One hypothesised mechanism is the omission of necessary nursing care caused...

Experts ‘disappointed’ at minister’s refusal to meet over staffing levels

Senior nurses driving a high-profile campaign on safe staffing levels in hospitals said they were ‘disappointed’ after health minister Dan Poulter refused to meet them last week.

Eight patients per nurse is unsafe

Nursing leaders from practice, education, research and professional organisations have formed the Safe and Sound--the Safe Staffing Alliance as part of Nursing Standard's Care campaign. This week they have issued a consensus statement on hospital staffing levels.

RN Staffing Time and Outcomes of Long-Stay Nursing Home Residents

A clear link has been demonstrated between lower nurse staffing levels in hospitals and adverse patient outcomes, but the results of studies of such relationships in long-term care facilities haven't been as clear. This study explored the time nurses spent in direct care and how it affected outcomes in long-stay (two weeks or longer) nursing home residents. In a retrospective study of data collected as part of the National Pressure Ulcer Long-Term Study (NPULS), we analyzed data on 1,376 residents of 82 long-term care facilities whose lengths of stay were 14 days or longer, who were at risk of developing pressure ulcers but had none at study entry, and who had a Braden Scale score of 17 or less. Primary data came from residents' medical records during 12-week periods in 1996 and 1997. Dependent variables included development of pressure ulcer or urinary tract infection (UTI), weight loss, deterioration in the ability to perform activities of daily living (ADLs), and hospitalization. Independent variables included resident demographics, severity of illness, nutritional and incontinence interventions, medications, and nurse staffing time. More RN direct care time per resident per day (examined in 10-minute increments up to 30 to 40 minutes per resident per day) was associated with fewer pressure ulcers, hospitalizations, and UTIs; less weight loss, catheterization, and deterioration in the ability to perform ADLs; and greater use of oral standard medical nutritional supplements. More certified nursing assistant and licensed practical nurse time was associated with fewer pressure ulcers but did not improve other outcomes. The researchers controlled for important variables in long-stay nursing home residents at risk for pressure ulcers and found that more RN direct care time per resident per day was strongly associated with better outcomes. There's an urgent need for further research to confirm these findings and, if confirmed, for improving RN staffing in nursing homes to decrease avoidable adverse outcomes and suffering.

Staffing and pattern of mechanical restraint use across a multiple hospital system.

In an effort to enhance patient safety in acute care settings, governmental and regulatory agencies have established initiatives aimed at limiting the use of mechanical restraints. Concurrently, hospital staffing levels are undergoing changes raising concerns about the impact these changes may have on restraint use. No studies to date have described the impact these two initiatives have had on restraint use in acute care hospitals. To determine across a multiple hospital system: (a) the rates, frequencies, duration, and timing of restraint use, and (b) the relationship between restraint use and staffing. This was a secondary analysis of prospective, observational data from a large outcomes database for 10 acute care hospitals. Monthly data were obtained from 94 patient care units for periods ranging from 1-12 months for a total of 566 cumulative months during 1999. The system restraint application duration rate (total restraint hours/total possible hours) was 2.8% (hospital ranges: 0.3-4.4%). More restraints were applied on night shifts (48.8%; n = 5,296) than on day (33.5%; n = 3,634) or evening shifts (17.7%; n = 1,926) (p < .0001) and most applied at midnight (31.7%; n = 3,441) followed by 0600-0900 (33.3%; n = 3,614). There was a weak positive relationship between staffing and restraint use (r = 0.276, p = .0001) at the system level and units with higher staffing levels also had higher baseline restraint use (p < .0001). Restraint frequency, duration, and timing may have been altered by recent initiatives, and there is beginning evidence that differences exist between community, rural, and tertiary hospitals. While there is a weak positive relationship between higher staffing and restraint use at the system and unit level, further exploration of the influence of other factors, specifically patient acuity, are in order. The finding of unit variability and consistent restraint application times provides a starting point for further quality initiatives or research interventions aimed at restraint reduction.

What should we expect from California's minimum nurse staffing legislation?

In 1999, California passed the first legislation in the United States to establish minimum staffing levels in hospitals for registered nurses (RNs) and licensed vocational nurses. The author provides estimates of the increase in RN expenditures required by this mandate, by hospital size and for regions of California. Issues related to the implementation of minimum ratios also are discussed. Attention must be paid to other staffing regulations, special concerns of rural hospitals, the possibility that minimum ratios result in lower RN staffing, and the effect of the nursing shortage on the ability of hospitals to meet requirements.

Pattern electroretinogram in multiple sclerosis.

The pattern electroretinogram obtained in patients affected by multiple sclerosis were compared with those in a normal population. The pattern electroretinogram amplitude in multiple sclerosis optic neuritis frequently appeared normal, but pattern electroretinogram amplitude abnormalities were found in patients suffering from recurrent multiple sclerosis optic neuritis. Pattern electroretinogram examination appears a useful method in the differential diagnosis between axonal and demyelinating optic nerve impairment.