Determining acute nurse staffing: a hermeneutic review of an evolving science

Is the National Early Warning Score able to identify nursing activity load? A prospective observational study

BACKGROUND

The National Early Warning Score scale correlates well with the intensity of the patient's acute condition. It could also correlate with the nursing activity load and prove useful in defining and redistributing nursing resources based on the acuity of patients.

AIM

To assess whether patients' National Early Warning Score at hospital admission correlates with objective nursing demands and can be used to optimize the distribution of available care resources.

METHODS

This single-center prospective study included patients admitted to the Department of Internal Medicine at the Civil Hospital in Altovicentino (Italy) between September 1 and December 31, 2022. Nursing activities were recorded for the first three days after admission and standardized to the daily mean as performance/5 min/patient/day. Linear regression was used to assess the correlation between nursing demands for different National Early Warning Scores.

RESULTS

This study included 333 patients. Their mean National Early Warning Score was 3.9 (standard deviation: 2.9), with 61 % (203/333) in the National Early Warning Score <5 category, 19.5 % (65/333) in the National Early Warning Score 5-6 category, and 19.5 % (65/333) in the National Early Warning Score >6 category. Their average daily care requirements increased from 22 (16-30) activities/5 min/patient/day in the low National Early Warning Score category to 30 (20-39) activities/5 min/patient/day in the intermediate National Early Warning Score category (p < 0.001) and 35 (23-45) activities/5 min/patient/day in the high National Early Warning Score category (p < 0.001).

CONCLUSION

The National Early Warning Score correlates with nursing care activities for patients with an acute condition and can be used to optimize the distribution of available care resources.

[Correlation of patient satisfaction with nurses' time spent at the bedside: A prospective observational study]

Correlation of patient satisfaction with nurses' time spent at the bedside: A prospective observational study Abstract. Background: Patient satisfaction is of high importance in quality assurance in many hospitals. The existing shortage of nursing staff and the resulting additional workload for individual nurses reduce the time available for patient care. Aim: The aim of this study is to explore a possible relationship of patient satisfaction with the time spent by nurses at the bedside and the influence of other influencing predictors. Methods: In this observational study, nursing attendance time was collected using attendance records which were verified by digital call light logs, and then evaluated using a linear regression model including patient satisfaction. Results: The nursing attendance time showed no significant influence on "patient satisfaction" (p = 0.155). The most important variables influencing "patient satisfaction" were: "no previous hospital experience" (p = 0.001), "importance of care" (p < 0.001) and "Gender" (form male) (p = 0.001). Conclusions: The time spent by nurses at the patient's bedside is not considered decisive enough to have a clear positive influence on patient satisfaction. Adaptations in nursing care are recommended, which enable a holistic relationship building and goal-oriented nursing care that favours patient satisfaction.

Defining adequacy of staffing in general hospital wards: a Delphi study

OBJECTIVES

To gain consensus on the items that determine adequacy of shift staffing.

DESIGN

This was a three-round Delphi study to establish consensus on what defines adequacy of shift staffing in a general hospital ward. A literature review, focus group and five semistructured expert interviews were used to generate items for the Delphi study.

SETTING

Multicentre study in The Netherlands.

PARTICIPANTS

Nurses, head nurses, nursing managers, and capacity consultants and managers working for Dutch hospitals.

RESULTS

Twenty-six items were included in the Delphi study. One hundred and sixty-eight, 123 and 93 participants were included in the first, second and third round, respectively. After three rounds, six items were included (mostly related to direct patient care) and nine items were excluded. No consensus was reached on 12 items, including one item that was added after the first round.

CONCLUSIONS

This is the first study to specify items that determine adequacy of staffing. These items can be used to measure adequacy of staffing, which is crucial for enhancing nurse staffing methods. Further research is needed to refine the items of staffing adequacy and to further develop and psychometrically test an instrument for measuring staffing adequacy.

Measuring perceived adequacy of staffing to incorporate nurses' judgement into hospital capacity management: a scoping review

BACKGROUND

Matching demand and supply in nursing work continues to generate debate. Current approaches focus on objective measures, such as nurses per occupied bed or patient classification. However, staff numbers do not tell the whole staffing story. The subjective measure of nurses' perceived adequacy of staffing (PAS) has the potential to enhance nurse staffing methods in a way that goes beyond traditional workload measurement or workforce planning methods.

OBJECTIVES

To detect outcomes associated with nurses' PAS and the factors that influence PAS and to review the psychometric properties of instruments used to measure PAS in a hospital setting.

DESIGN AND METHODS

A scoping review was performed to identify outcomes associated with PAS, factors influencing PAS and instruments measuring PAS. A search of PubMed, Cumulative Index to Nursing and Allied Health Literature (CINAHL), Business Source Complete and Embase databases identified 2609 potentially relevant articles. Data were independently extracted, analysed and synthesised. The quality of studies describing influencing factors or outcomes of PAS and psychometric properties of instruments measuring PAS were assessed following the National Institute for Health and Care Excellence quality appraisal checklist and the COnsensus-based Standards for the selection of health Measurement INstruments guidelines.

RESULTS

Sixty-three studies were included, describing 60 outcomes of PAS, 79 factors influencing PAS and 21 instruments measuring PAS. In general, positive PAS was related to positive outcomes for the patient, nurse and organisation, supporting the relevance of PAS as a staffing measure. We identified a variety of factors that influence PAS, including demand for care, nurse supply and organisation of care delivery. Associations between these factors and PAS were inconsistent. The quality of studies investigating the development and evaluation of instruments measuring PAS was moderate.

CONCLUSIONS

Measuring the PAS may enhance nurse staffing methods in a hospital setting. Further work is needed to refine and psychometrically evaluate instruments for measuring PAS.

Safe nurse staffing policies for hospitals in England, Ireland, California, Victoria and Queensland: A discussion paper

OBJECTIVE

The association between higher registered nurses (RN) staffing (educational level and number) and better patient and nurse outcomes is well-documented. This discussion paper aims to provide an overview of safe staffing policies in various high-income countries to identify reform trends in response to recurring nurse workforce challenges.

METHODS

Based on a scan of the literature five cases were selected: England (UK), Ireland, California (USA), Victoria and Queensland (Australia). Information was gathered via a review of the grey and peer-reviewed literature. Country experts were consulted for additional information and to review country reports.

RESULTS

The focus of safe staffing policies varies: increasing transparency about staffing decisions (England), matching actual and required staffing levels based on patient acuity measurement (Ireland), mandated patient-to-nurse ratios at the level of the nurse (California) or the ward (Victoria, Queensland). Calibration of the number of patients by the number of nurses varies across cases. Nevertheless, positive effects on the nursing workforce (increased bedside staffing) and staff well-being (increased job satisfaction) have been consistently documented. The impact on patient outcomes is promising but less well evidenced.

CONCLUSION

Countries will have to set safe staffing policies to tackle challenges such as the ageing population and workforce shortages. Various approaches may prove effective, but need to be accompanied by a comprehensive policy that enhances bedside nurse staffing in an evidence-based, objective and transparent way.

Acuity, nurse staffing and workforce, missed care and patient outcomes: A cluster-unit-level descriptive comparison

AIM

To compare the patient acuity, nurse staffing and workforce, missed nursing care and patient outcomes among hospital unit-clusters.

BACKGROUND

Relationships among acuity, nurse staffing and workforce, missed nursing care and patient outcomes are not completely understood.

METHOD

Descriptive design with data from four unit-clusters: medical, surgical, combined and step-down units. Descriptive statistics were used to compare acuity, nurse staffing coverage, education and expertise, missed nursing care and selected nurse-sensitive outcomes.

RESULTS

Patient acuity in general (medical, surgical and combined) floors is similar to step-down units, with an average of 5.6 required RN hours per patient day. In general wards, available RN hours per patient day reach only 50% of required RN hours to meet patient needs. Workforce measures are comparable among unit-clusters, and average missed nursing care is 21%. Patient outcomes vary among unit-clusters.

CONCLUSION

Patient acuity is similar among unit-clusters, while nurse staffing coverage is halved in general wards. While RN education, expertise and missed care are comparable among unit-clusters, mortality, skin injuries and risk of family compassion fatigue rates are higher in general wards.

IMPLICATIONS FOR NURSING MANAGEMENT

Nurse managers play a pivotal role in hustling policymakers to address structural understaffing in general wards, to maximize patient safety outcomes.

Exploratory study of staff perceptions of shift safety in the critical care unit and routinely available data on workforce, patient and organisational factors

OBJECTIVES

To explore bedside professional reported (BPR) perceptions of safety in intensive care staff and the relationships between BPR safety, staffing, patient and work environment characteristics.

DESIGN

An exploratory study of self-recorded staff perceptions of shift safety and routinely collected data.

SETTING

A large teaching hospital comprising 70 critical care beds.

PARTICIPANTS

All clinical staff working in adult critical care.

INTERVENTIONS

Staff recorded whether their shift felt 'safe, unsafe or very unsafe' for 29 consecutive days. We explored these perceptions and relationships between them and routine data on staffing, patient and environmental characteristics.

OUTCOME MEASURES

Relationships between BPR safety and staffing, patient and work environment characteristics.

RESULTS

2836 BPR scores were recorded over 29 consecutive days (response rate 57.7%). Perceptions of safety varied between staff, including within the same shift. There was no correlation between perceptions of safety and two measures of staffing: care hours per patient day (r=0.13 p=0.108) and Safecare Allocate (r=-0.19 p=0.013). We found a significant, positive relationship between perceptions of safety and the percentage of level 3 (most severely ill) patients (r=0.32, p=0.0001). There was a significant inverse relationship between perceptions of safety and the percentage of level 1 patients on a shift (r=-0.42, p<0.0001). Perceptions of safety correlated negatively with increased numbers of patients (r=-0.44, p=0.0006) and higher percentage of patients located side rooms (r=0.63, p<0.0001). We found a significant relationship between perceptions of safety and the percentage of staff with a specialist critical care course (r=0.42. p=0.0001).

CONCLUSION

Existing staffing models, which are primarily influenced by staff-to-patient ratios, may not be sensitive to patient need. Other factors may be important drivers of staff perceptions of safety and should be explored further.

["One always has to be watchful": Categorisation of patient-related complexity of nursing care in acute care hospitals]

"One always has to be watchful": Categorisation of patient-related complexity of nursing care in acute care hospitals Abstract. Background: The increase of chronic illnesses and multimorbidity as well as more challenging treatment methods have caused higher acuity and complexity of nursing care situations. Aim: The aim of this study was to explore and establish categories which describe different levels of patient-related complexity of nursing care in order to broaden the understanding of demands on nursing care due to patient situations. Methods: Using a collective case study design, we asked registered nurses and clinical nurse specialists to assess the complexity of twelve nursing care situations through a questionnaire before interviewing them about their deliberations on how they rated the situation. In this sub-study, we performed a qualitative secondary analysis of these data and looked for categories of comparable degrees of complexity. Results: We found five categories of complexity, ranging from "slightly complex" to "highly complex". "Slightly complex" situations demanded a nurse's attention on routine interventions, while "highly complex" situations demanded their constant attention on poorly assessable and poorly controllable conditions with uncertain outcomes. Conclusions: The five categories of complexity describe characteristics of the different levels of complexity in nursing care situations. They can support nursing managers with allocating nursing staff to patients according to their needs and provide a framework for discussing complex nursing care situations in basic and continuing education.