scholarly journals Performance of the Safer Nursing Care Tool to measure nurse staffing requirements in acute hospitals: a multi-centre observational study

2019 ◽  
Author(s):  
Peter Griffiths ◽  
Christina Saville ◽  
Jane E Ball ◽  
David Culliford ◽  
Natalie Pattison ◽  
...  

AbstractObjectivesTo determine the precision of nurse staffing establishments estimated using the SNCT patient classification system, and to assess whether the recommended staff levels correspond with professional judgements of adequate staffing.Setting / population81 medical/surgical units in 4 acute care hospitals.MethodsNurses assessed patients using the SNCT and reported on the adequacy of staffing at least daily for one year. Bootstrap samples of varying sizes were used to estimate the precision of the tool’s recommendations for the number of nurses to employ on each unit. Multi-level regression models were used to assess the association between shortfalls from the measured staffing requirement and nurses’ assessments of adequate staffing.ResultsThe recommended minimum sample of 20 days allowed the required number to employ to be estimated with a mean precision of 4.1%. For most units, much larger samples were required to estimate establishments within +/- 1 whole time staff member. Every registered nurse hour per patient day shortfall in staffing was associated with an 11% decrease in the odds of nurses reporting that there were enough staff to provide quality care and a 14% increase in the odds of reporting that necessary nursing care was left undone. No threshold indicating an optimal staffing level was observed. Surgical specialty, patient turnover and more single bedded rooms were associated with lower odds of staffing adequacy.ConclusionsThe SNCT can provide reliable estimates of the number of nurses to employ on a unit, but larger samples than the recommended minimum are usually required. The SNCT provides a measure of nursing workload that correlates with professional judgements, but the recommended staffing levels may not be optimal. Some sources of systematic variations in staffing requirements for some units are not accounted for. SNCT measurements are a potentially useful adjunct to professional judgement, but cannot replace it.

BMJ Open ◽  
2020 ◽  
Vol 10 (5) ◽  
pp. e035828
Author(s):  
Peter Griffiths ◽  
Christina Saville ◽  
Jane Ball ◽  
David Culliford ◽  
Natalie Pattison ◽  
...  

ObjectivesThe best way to determine nurse staffing requirements on hospital wards is unclear. This study explores the precision of estimates of nurse staffing requirements made using the Safer Nursing Care Tool (SNCT) patient classification system for different sample sizes and investigates whether recommended staff levels correspond with professional judgements of adequate staffing.DesignObservational study linking datasets of staffing requirements (estimated using a tool) to professional judgements of adequate staffing. Multilevel logistic regression modelling.Setting81 medical/surgical units in four acute care hospitals.Participants22 364 unit days where staffing levels and SNCT ratings were linked to nurse reports of "enough staff for quality".Primary outcome measuresSNCT-estimated staffing requirements and nurses’ assessments of staffing adequacy.ResultsThe recommended minimum sample of 20 days allowed the required number to employ (the establishment) to be estimated with a mean precision (defined as half the width of the CI as a percentage of the mean) of 4.1%. For most units, much larger samples were required to estimate establishments within ±1 whole time equivalent staff member. When staffing was lower than that required according to the SNCT, for each hour per patient day of registered nurse staffing below the required staffing level, the odds of nurses reporting that there were enough staff to provide quality care were reduced by 11%. Correspondingly, the odds of nurses reporting that necessary nursing care was left undone were increased by 14%. No threshold indicating an optimal staffing level was observed. Surgical specialty, patient turnover and more single rooms were associated with lower odds of staffing adequacy.ConclusionsThe SNCT can provide reliable estimates of the number of nurses to employ on a unit, but larger samples than the recommended minimum are usually required. The SNCT provides a measure of nursing workload that correlates with professional judgements, but the recommended staffing levels may not be optimal. Some important sources of systematic variations in staffing requirements for some units are not accounted for. SNCT measurements are a potentially useful adjunct to professional judgement but cannot replace it.Trial registration numberISRCTN12307968.


2018 ◽  
Vol 24 (4) ◽  
pp. 288 ◽  
Author(s):  
Jinhyun Kim ◽  
Sungjae Kim ◽  
Jinhee Park ◽  
Euntae Park ◽  
Suyong Jeong ◽  
...  

Author(s):  
Ana María Porcel-Gálvez ◽  
Sergio Barrientos-Trigo ◽  
Eugenia Gil-García ◽  
Olivia Aguilera-Castillo ◽  
Antonio Juan Pérez-Fernández ◽  
...  

Background: In-hospital mortality is a key indicator of the quality of care. Studies so far have demonstrated the influence of patient and hospital-related factors on in-hospital mortality. Currently, new variables, such as nursing workload or the level of dependency, are being incorporated. We aimed to identify which individual, clinical and hospital characteristics are related to hospital mortality. Methods: A multicentre prospective observational study design was used. Sampling was conducted between February 2015 and October 2017. Patients over 16 years, admitted to medical or surgical units at 11 public hospitals in Andalusia (Spain), with a foreseeable stay of at least 48 h were included. Multivariate regression analyses were performed to analyse the data. Results: The sample consisted of 3821 assessments conducted in 1004 patients. The mean profile was that of a male (52%), mean age of 64.5 years old, admitted to a medical unit (56.5%), with an informal caregiver (60%). In-hospital mortality was 4%. The INICIARE (Inventario del Nivel de Cuidados Mediante Indicadores de Clasificación de Resultados de Enfermería) scale yielded an adjusted odds ratio [AOR] of 0.987 (95% confidence interval [CI]: 0.97–0.99) and the nurse staffing level (NSL) yielded an AOR of 1.197 (95% CI: 1.02–1.4). Conclusion: Nursing care dependency measured by INICIARE and nurse staffing level was associated with in-hospital mortality.


2020 ◽  
Vol 8 (16) ◽  
pp. 1-162 ◽  
Author(s):  
Peter Griffiths ◽  
Christina Saville ◽  
Jane E Ball ◽  
Rosemary Chable ◽  
Andrew Dimech ◽  
...  

Background The Safer Nursing Care Tool is a system designed to guide decisions about nurse staffing requirements on hospital wards, in particular the number of nurses to employ (establishment). The Safer Nursing Care Tool is widely used in English hospitals but there is a lack of evidence about how effective and cost-effective nurse staffing tools are at providing the staffing levels needed for safe and quality patient care. Objectives To determine whether or not the Safer Nursing Care Tool corresponds to professional judgement, to assess a range of options for using the Safer Nursing Care Tool and to model the costs and consequences of various ward staffing policies based on Safer Nursing Care Tool acuity/dependency measure. Design This was an observational study on medical/surgical wards in four NHS hospital trusts using regression, computer simulations and economic modelling. We compared the effects and costs of a ‘high’ establishment (set to meet demand on 90% of days), the ‘standard’ (mean-based) establishment and a ‘flexible (low)’ establishment (80% of the mean) providing a core staff group that would be sufficient on days of low demand, with flexible staff re-deployed/hired to meet fluctuations in demand. Setting Medical/surgical wards in four NHS hospital trusts. Main outcome measures The main outcome measures were professional judgement of staffing adequacy and reports of omissions in care, shifts staffed more than 15% below the measured requirement, cost per patient-day and cost per life saved. Data sources The data sources were hospital administrative systems, staff reports and national reference costs. Results In total, 81 wards participated (85% response rate), with data linking Safer Nursing Care Tool ratings and staffing levels for 26,362 wards × days (96% response rate). According to Safer Nursing Care Tool measures, 26% of all ward-days were understaffed by ≥ 15%. Nurses reported that they had enough staff to provide quality care on 78% of shifts. When using the Safer Nursing Care Tool to set establishments, on average 60 days of observation would be needed for a 95% confidence interval spanning 1 whole-time equivalent either side of the mean. Staffing levels below the daily requirement estimated using the Safer Nursing Care Tool were associated with lower odds of nurses reporting ‘enough staff for quality’ and more reports of missed nursing care. However, the relationship was effectively linear, with staffing above the recommended level associated with further improvements. In simulation experiments, ‘flexible (low)’ establishments led to high rates of understaffing and adverse outcomes, even when temporary staff were readily available. Cost savings were small when high temporary staff availability was assumed. ‘High’ establishments were associated with substantial reductions in understaffing and improved outcomes but higher costs, although, under most assumptions, the cost per life saved was considerably less than £30,000. Limitations This was an observational study. Outcomes of staffing establishments are simulated. Conclusions Understanding the effect on wards of variability of workload is important when planning staffing levels. The Safer Nursing Care Tool correlates with professional judgement but does not identify optimal staffing levels. Employing more permanent staff than recommended by the Safer Nursing Care Tool guidelines, meeting demand most days, could be cost-effective. Apparent cost savings from ‘flexible (low)’ establishments are achieved largely by below-adequate staffing. Cost savings are eroded under the conditions of high temporary staff availability that are required to make such policies function. Future work Research is needed to identify cut-off points for required staffing. Prospective studies measuring patient outcomes and comparing the results of different systems are feasible. Trial registration Current Controlled Trials ISRCTN12307968. Funding This project was funded by the National Institute for Health Research (NIHR) Health Services and Delivery Research programme and will be published in full in Health Services and Delivery Research; Vol. 8, No. 16. See the NIHR Journals Library website for further project information.


Author(s):  
Yunmi Kim ◽  
Jiyun Kim

The increasing incidence of ischemic heart disease is concomitantly increasing percutaneous coronary intervention (PCI) treatments. Adequate nurse staffing has enhanced quality of care and this study was conducted to determine the relationship between survival-related PCI treatment and the level of nursing staff who care for patients admitted to receive PCI. National Health Insurance claims data from 2014 to 2015 for 67,927 patients who underwent PCI in 43 tertiary hospitals were analyzed. The relationships of nurse staffing in intensive care units (ICUs) and general wards with survival after PCI were investigated using logistic regression analyses with a generalized estimation model. The in-hospital mortality rate in ICUs was lower in hospitals with first-grade nurse staffing {odds ratio (OR) = 0.33, 95% confidence interval (CI) = 0.23–0.48}, second-grade nurse staffing (OR = 0.55, 95% CI = 0.40–0.77), or third-grade nurse staffing (OR = 0.71, 95% CI = 0.53–0.95) than in hospitals with fifth-grade nurse staffing. Nurse staffing in general wards was not related to in-hospital mortality due to PCI treatment. This study found that nurse staffing in PCI patients requiring short-term intensive care significantly affected patient survival. An understanding of the importance of managing the ICU nursing workforce for PCI treatment is required.


2015 ◽  
Vol 30 (4) ◽  
pp. 306-312 ◽  
Author(s):  
Beverly Waller Dabney ◽  
Beatrice J. Kalisch

Author(s):  
Sabrina da Costa Machado Duarte ◽  
Marluci Andrade Conceição Stipp ◽  
Maria Manuela Vila Nova Cardoso ◽  
Andreas Büscher

ABSTRACT Objective: To analyze the active failures and the latent conditions related to errors in intensive nursing care and to discuss the reactive and proactive measures mentioned by the nursing team. Method: Qualitative, descriptive, exploratory study conducted at the Intensive Care Unit of a general hospital. Data were collected through interviews, participant observation and submitted to lexical analysis in the ALCESTE® software and to ethnographic analysis. Results: 36 professionals of the nursing team participated in the study. The analysis originated three lexical classes: Error in intensive care nursing; Active failures and latent conditions related to errors in the intensive care nursing team; Reactive and proactive measures adopted by the nursing team regarding errors in intensive care. Conclusion: Reactive and proactive measures influenced the safety culture, in particular, the recognition of errors by professionals, contributing to their prevention, safety and quality care.


Curationis ◽  
1985 ◽  
Vol 8 (1) ◽  
Author(s):  
Mirinda Coetsee

A patient classification system is used to classify patients according to the acuity of their condition and the amount of care which they need in order to determine staffing needs. Such a system enables optimal provision of nursing staff thus ensuring cost-effective quality care. A patient classification system must be tailored to the needs of each hospital to ensure reliability. There is an adaptable computer software program which is able to do all the calculations for a patient classification system. It provides valuable daily, weekly and monthly print-outs — such as summaries of patient acuity and staffing requirements for each unit and for the hospital as a whole.


2012 ◽  
Vol 20 (4) ◽  
pp. 651-658 ◽  
Author(s):  
Paulo Carlos Garcia ◽  
Fernanda Maria Togeiro Fugulin

The objective of this quantitative, correlational and descriptive study was to analyze the time the nursing staff spends to assist patients in Adult Intensive Care Units, as well as to verify its correlation with quality care indicators. The average length of time spent on care and the quality care indicators were identified by consulting management instruments the nursing head of the Unit employs. The average hours of nursing care delivered to patients remained stable, but lower than official Brazilian agencies' indications. The correlation between time of nursing care and the incidence of accidental extubation indicator indicated that it decreases with increasing nursing care delivered by nurses. The results of this investigation showed the influence of nursing care time, provided by nurses, in the outcome of care delivery.


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