Hospital nurse staffing and staff-patient interactions: an observational study

Racial differences in the quality of care interactions among nursing home residents with dementia

OBJECTIVE

The resident population in nursing homes is increasingly racially diverse. The purpose of this study was to assess racial differences in the quality of care interactions among nursing home residents with dementia.

DESIGN

The study utilized baseline data from the Testing the Evidence Integration Triangle for Behavioral and Psychological Symptoms of Dementia (EIT-4-BPSD), a randomized controlled pragmatic trial. The Quality of Interaction Scale (QuIS) was used to measure quality of staff-resident care interactions. The sample included 531 residents. An analysis of covariance was conducted to address the aim.

RESULTS

The majority of interactions were positive social (42%) or positive care (37%). Black residents living with dementia had higher QuIS scores (M = 5.98, SD = 1.66) than White residents with dementia (M = 5.40, SD = 1.75), whereas higher QuIS scores indicating more positive interactions. However, the results of the analysis of covariance indicated that there was not a significant difference in QuIS scores between Black versus White residents living with dementia (p =.203).

CONCLUSION

The findings suggest that care interactions in nursing homes are consistent between Black residents and White residents. Future research should evaluate the impact of staff race on the quality of care interaction among nursing home residents.

Differences in Staff-Resident Care Interactions by Nursing Home Racial Composition: a Preliminary Analysis

Limited research has examined racial differences in the quality of staff-resident care interactions in long-term care settings. The quality of care interactions can significantly affect resident quality of life and psychological well-being among nursing home residents living with dementia. Limited research has assessed racial or facility differences in the quality of care interactions. The purpose of the present study was to determine if there were differences in the quality of care interactions among nursing home residents with dementia between Maryland nursing home facilities with and without Black residents. It was hypothesized that after controlling for age, cognition, comorbidities, and function, the quality of care interactions would be better in facilities with Black residents versus those in which there were only White residents. Baseline data from the Evidence Integration Triangle for Behavioral and Psychological Symptoms of Dementia (EIT-4-BPSD) intervention study was used and included 276 residents. The results indicated that facilities in Maryland with Black residents had a 0.27 increase (b = 0.27, p < .05) in the quality of care interaction score compared to facilities without Black residents. The findings from this study will be used to inform future interventions to aid in reducing quality of care disparities in nursing home facilities with and without Black nursing home residents. Future work should continue to examine staff, resident, and facility characteristics associated with the quality of care interactions to improve quality of life among all nursing home residents regardless of race or ethnicity.

Analysing the patient experience of COVID-19: Exploring patients' experiences of hospitalisation and their quality of life post discharge

AIMS AND OBJECTIVES

We sought to gain an understanding of the patient experience during their hospital stay for COVID-19, and the impact of COVID-19 on quality of life post discharge.

BACKGROUND

Symptoms of COVID-19 include a persistent cough, dyspnoea and fatigue. Individuals with comorbidities such as cardiovascular disease have a higher risk of contracting COVID-19 and approximately 20% of those diagnosed with COVID-19 are admitted to hospital. Following discharge from hospital, 40% of patients report a worsened quality of life and up to 87% of those discharged from hospital have experienced 'long COVID'.

DESIGN

A qualitative design was used to understand patient experience of hospitalisation following a diagnosis of COVID-19, and their experiences following discharge from hospital.

METHODS

Ten patients with a previous diagnosis of COVID-19 took part in semi-structured interviews regarding their experiences of hospitalisation and the impact on quality of life post-discharge.

RESULTS

The results identified three key themes from the interviews: communication and the inpatient experience, symptoms following discharge and regaining independence. Patients discussed their experience of hospitalisation and how this continued to impact their emotional well-being post-discharge. However, patients appeared to push themselves physically to improve their health, despite continued COVID-19 symptoms.

CONCLUSION

Patients hospitalised following a diagnosis of COVID-19 experienced psychological distress during their hospital stay, as well as 3-months post-discharge. We suggest the use of psychosocial interventions to support patients post-discharge.

RELEVANCE TO CLINICAL PRACTICE

The results of this study provide a greater understanding of the patient experience during their hospital stay, which can support nursing staff practice. Additionally, the study provides in depth knowledge of personal experiences of patients diagnosed with COVID-19 and the impact following hospital discharge.

PATIENT OR PUBLIC CONTRIBUTION

Patient's took part in semi-structured interviews via telephone to support the aims and objectives of this study.

Patient outcomes, efficiency, and adverse events for elective hip and knee replacement in private and NHS hospitals: a population-based cohort study in England

Background

Since the early 2000s, the National Health Service (NHS) in England has expanded provision of publicly funded care in private hospitals as a strategy to meet growing demand for elective care. This study aims to compare patient outcomes, efficiency and adverse events in private and NHS hospitals when providing elective hip and knee replacement.

Methods

We conducted a population-based cohort study including patients ≥18 years, undergoing a publicly funded elective hip or knee replacement in private and NHS hospitals in England between January 1st 2016 and March 31st 2019. Comparative probability was estimated for three patient outcome measures (in-hospital mortality, emergency readmissions with 28 days, hospital transfers), two efficiency measures (pre-operative length of stay (LOS) >0 day and post-operative LOS >2 days), and four adverse events (hospital-associated infection, adverse drug reactions, pressure ulcers, venous thromboembolism). Probit regression was used to adjust for observable confounding followed by instrumental variable (IV) analyses to also account for unobserved confounding at the patient-level. Propensity score matching was then used as a robustness check.

Findings

Our study sample included 169,232 patients in private hospitals, and 262,659 patients in NHS hospitals. Estimates from probit regression indicated that treatment in private hospital was associated with reduced probability of in-hospital mortality (-0.0009, 95% CI -0.0010, -0.0007), emergency readmissions (-0.0181, 95% CI -0.0191, -0.0172), hospital transfers (-0.0076, 95% CI -0.0084, -0.0068), prolonged post-operative LOS (-0.1174, 95% CI -0.1547, -0.0801), hospital-associated infection (-0.0115, 95% CI -0.0123, -0.0107), adverse drug reactions (-0.0051, 95% CI -0.0056, -0.0046), pressure ulcers (-0.0017, 95% CI -0.0019, -0.0014), and venous thromboembolism (-0.0027, 95% CI -0.0031, -0.0022). IV analyses produced no significant differences between private and NHS hospitals, except for lower probability in private hospitals of hospital-associated infection (-0.0057, 95% CI -0.0081, -0.0032), and greater probability in private hospitals of prolonged post-operative LOS (0.2653, 95% CI 0.1833, 0.3472). Propensity score matching produced similar results to probit regression.

Interpretation

Our findings indicate there is potentially important unobservable confounding at the patient-level between private and NHS hospitals not adjusted for when using probit regression or propensity score matching.

Funding

This research did not receive any dedicated funding.

TAILR (Nursing-Sensitive Events and Their Association With Individual Nurse Staffing Levels) Project: Protocol for an International Longitudinal Multicenter Study

BACKGROUND

Nursing-sensitive events (NSEs) are common, accounting for up to 77% of adverse events in hospitalized patients (eg, fall-related harm, pressure ulcers, and health care-associated infections). NSEs lead to adverse patient outcomes and impose an economic burden on hospitals due to increased medical costs through a prolonged hospital stay and additional medical procedures. To reduce NSEs and ensure high-quality nursing care, appropriate nurse staffing levels are needed. Although the link between nurse staffing and NSEs has been described in many studies, appropriate nurse staffing levels are lacking. Existing studies describe constant staffing exposure at the unit or hospital level without assessing patient-level exposure to nurse staffing during the hospital stay. Few studies have assessed nurse staffing and patient outcomes using a single-center longitudinal design, with limited generalizability. There is a need for multicenter longitudinal studies with improved potential for generalizing the association between individual nurse staffing levels and NSEs.

OBJECTIVE

This study aimed (1) to determine the prevalence, preventability, type, and severity of NSEs; (2) to describe individual patient-level nurse staffing exposure across hospitals; (3) to assess the effect of nurse staffing on NSEs in patients; and (4) to identify thresholds of safe nurse staffing levels and test them against NSEs in hospitalized patients.

METHODS

This international multicenter study uses a longitudinal and observational research design; it involves 4 countries (Switzerland, Sweden, Germany, and Iran), with participation from 14 hospitals and 61 medical, surgery, and mixed units. The 16-week observation period will collect NSEs using systematic retrospective record reviews. A total of 3680 patient admissions will be reviewed, with 60 randomly selected admissions per unit. To be included, patients must have been hospitalized for at least 48 hours. Nurse staffing data (ie, the number of nurses and their education level) will be collected daily for each shift to assess the association between NSEs and individual nurse staffing levels. Additionally, hospital data (ie, type, teaching status, and ownership) and unit data (ie, service line and number of beds) will be collected.

RESULTS

As of January 2024, the verification process for the plausibility and comprehensibility of patients' and nurse staffing data is underway across all 4 countries. Data analyses are planned to be completed by spring 2024, with the first results expected to be published in late 2024.

CONCLUSIONS

This study will provide comprehensive information on NSEs, including their prevalence, preventability, type, and severity, across countries. Moreover, it seeks to enhance understanding of NSE mechanisms and the potential impact of nurse staffing on these events. We will evaluate within- and between-hospital variability to identify productive strategies to ensure safe nurse staffing levels, thereby reducing NSEs in hospitalized patients. The TAILR (Nursing-Sensitive Events and Their Association With Individual Nurse Staffing Levels) study will focus on the optimization of scarce staffing resources.

INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID)

DERR1-10.2196/56262.

Costs and cost-effectiveness of improved nurse staffing levels and skill mix in acute hospitals: A systematic review

BACKGROUND

Extensive research shows associations between increased nurse staffing levels, skill mix and patient outcomes. However, showing that improved staffing levels are linked to improved outcomes is not sufficient to provide a case for increasing them. This review of economic studies in acute hospitals aims to identify costs and consequences associated with different nurse staffing configurations in hospitals.

METHODS

We included economic studies exploring the effect of variation in nurse staffing. We searched PubMed, CINAHL, Embase Econlit, Cochrane library, DARE, NHS EED and the INAHTA website. Risk of bias was assessed using a framework based on the NICE guidance for public health reviews and Henrikson's framework for economic evaluations. Inclusion, data extraction and critical appraisal were undertaken by pairs of reviewers with disagreements resolved by the entire review team. Results were synthesised using a hierarchical matrix to summarise findings of economic evaluations.

RESULTS

We found 23 observational studies conducted in the United States of America (16), Australia, Belgium, China, South Korea, and the United Kingdom (3). Fourteen had high risk of bias and nine moderate. Most studies addressed levels of staffing by RNs and/or licensed practical nurses. Six studies found that increased nurse staffing levels were associated with improved outcomes and reduced or unchanged net costs, but most showed increased costs and outcomes. Studies undertaken outside the USA showed that increased nurse staffing was likely to be cost-effective at a per capita gross domestic product (GDP) threshold or lower. Four studies found that increased skill mix was associated with improved outcomes but increased staff costs. Three studies considering net costs found increased registered nurse skill mix associated with net savings and similar or improved outcomes.

CONCLUSION

Although more evidence on cost-effectiveness is still needed, increases in absolute or relative numbers of registered nurses in general medical and surgical wards have the potential to be highly cost-effective. The preponderance of the evidence suggests that increasing the proportion of registered nurses is associated with improved outcomes and, potentially, reduced net cost. Conversely, policies that lead to a reduction in the proportion of registered nurses in nursing teams could give worse outcomes at increased costs and there is no evidence that such approaches are cost-effective. In an era of registered nurse scarcity, these results favour investment in registered nurse supply as opposed to using lesser qualified staff as substitutes, especially where baseline nurse staffing and skill mix are low.

REGISTRATION

PROSPERO (CRD42021281202).

TWEETABLE ABSTRACT

Increasing registered nurse staffing and skill mix can be a net cost-saving solution to nurse shortages. Contrary to the strong policy push towards a dilution of nursing skill mix, investment in supply of RNs should become the priority.

The challenges of the Iranian nursing system in addressing community care needs

BACKGROUND

The nursing system is one of the major and important fields of health and medicine in every country, responsible for providing nursing care and addressing medical and health-related community care needs. The aim of this study was to explain the challenges of the Iranian nursing system in addressing community care needs.

MATERIALS AND METHODS

A conventional content analysis method was performed in this exploratory qualitative study, and 27 participants were selected through a purposive sampling method based on the inclusion criteria. In-depth semi-structured interviews were conducted with the subjects, and data saturation was achieved in the 27th interview. The main interviews with the participants were individual, in person, and face-to-face, conducted at different times (morning and evening) in a peaceful environment and at the convenience of the participants. The interviews were recorded by the researcher with the participants' consent. The duration of the interviews ranged from 50 to 70 minutes, given the participants' energy and time. Data analyses were done using Graneheim and Lundman approach.

RESULTS

After conducting the interviews and the simultaneous analysis, three themes were extracted, including the challenging structure in the internal environment, the operating environment, and the social environment, with seven main categories and 26 subcategories. An inadequate number of nurses given the real needs of society, the unbalanced proportion of employed clinical nurses to the real needs of society, poor presence of nurses in community-based nursing services, insufficient attention to the optimization of the work environment, the gap between education and clinical practice in the nursing system, poor mutual accountability of the community, and policies in the health system were seven main categories in this study.

CONCLUSION

In general, the results showed that the Iranian nursing system faces many micro, meso, and macroscale challenges. It is necessary to plan properly to enhance the accountability of the nursing system to the current community care needs by improving the situation.

Model Testing of the Factors that are Associated with Care Interactions among Nursing Home Residents with Dementia

OBJECTIVE

The purpose of this study was to test a model of the resident and community factors that are associated with quality of care interactions among nursing home (NH) residents living with dementia and test for invariance between model fit when tested with the Black versus White residents and female versus male residents. It was hypothesized that resident age, gender, race, pain, comorbidities, quality of life, resistiveness to care, function, cognition, community profit status, overall community star rating, community size, and staffing star rating would be directly and/or indirectly associated with quality of care interactions. It was also hypothesized that the model fit would be invariant by resident race and gender.

DESIGN

This was a secondary data analysis using baseline, cross-sectional data from the Evidence Integration Triangle for Behavioral and Psychological Symptoms of Dementia (EIT-4-BPSD) intervention study.

SETTING AND PARTICIPANTS

The study included 528 residents from 55 NH facilities.

METHODS

Descriptive statistics and structural equation modeling was used to test the proposed model.

RESULTS

The results showed that the final model with significant paths only had a poor fit to the data (χ2/df = 10.79, comparative fit index = 0.57, Tucker-Lewis index = 0.15, normed fit index = 0.57, root mean square error of approximation = 0.13). However, the findings indicated that comorbidities, pain, profit status, and overall community star rating were significantly associated with quality of care interactions. There was no difference in model fit between Black residents versus White residents, and between male versus female residents.

CONCLUSIONS AND IMPLICATIONS

This study suggests factors that may influence quality of care interactions. Managing comorbidities, managing pain, and supporting higher quality of care in NH communities will likely help increase the frequency of positive care interactions. These findings can inform future interventions and training curricula for NH care staff to promote positive care interactions.

Gender differences in interactions and depressive symptoms among hospitalized older patients living with dementia

Alzheimer's disease or a related dementia (ADRD) disproportionately affects women with two-thirds of individuals with ADRD comprised of women. This study examined gender-related differences in the quality of staff-patient interactions and depressive symptoms among hospitalized older patients living with dementia. This secondary analysis utilized baseline data of 140 hospitalized older patients with dementia who participated in the final cohort of a randomized controlled trial (ClinicalTrials.gov identifier: NCT03046121) implementing Family centered Function-focused Care (Fam-FFC). On average, the participants (male = 46.1%, female = 52.9%) were 81.43 years old (SD = 8.29), had positive interactions with staff and lower depressive symptoms based on Quality of Interaction Schedule (QUIS) scores and Cornell Scale for Depression in Dementia (CSDD) scores, respectively. Although males had more positive interactions (male = 6.06, SD = 1.13; female = 5.59, SD = 1.51) and lesser depressive symptoms (male = 7.52, SD = 4.77; female = 8.03, SD = 6.25) than females, no statistically significant gender differences were observed in linear models with appropriate covariates or multivariant analysis of covariant (MANCOVA). However, the multigroup regression conducted to further probe marginally significant moderation effect of gender and pain on staff-patient interactions demonstrated that greater pain was significantly related to lower quality or less positive staff-patient interactions for females compared to males (χ2diff (1) = 4.84, p = .03). Continued evaluation of gender differences is warranted to inform care delivery and interventions to improve care for hospitalized older patients with dementia.

Comparison of patient classification systems for dimensioning nursing staff

OBJECTIVE

To compare nursing staff workload and dimensioning measured by two patient classification systems.

METHOD

Cross-sectional study, developed in a clinical inpatient unit of a large hospital in southern Brazil, between June and August 2022. Included patients (n = 260) were assessed through two different patient classification systems. The dimensioning calculation provided by the standard and descriptive statistics were applied.

RESULTS

Of the total number of patients, 1,248 classifications were performed with each of the classification systems. One of the instruments showed a concentration of demand for minimal care (54.5%) and the other for intermediate care (63.4%). The anticipation of required nursing hours was discrepant (235.58 and 298.16 hours), as well as the projected nursing staff, which was of 53 and 67 workers, respectively.

CONCLUSION

Measurement of workload and dimensioning were different when using two patient classification systems in the same sample. Additional accuracy studies shall be carried out.

Exploring the collaborative care of patients with pelvic fractures in Tshwane, South Africa

BACKGROUND

 Pelvic fractures are complex injuries that lead to long-term disabilities and poor health-related quality of life (HRQoL). Even though pelvic fractures are known to be challenging to manage, there is limited information on guidelines and protocols to ensure that patients receive comprehensive and collaborative healthcare.

METHODS

 A qualitative descriptive phenomenological approach was utilised to explore current practices and innovations of healthcare professionals (HPs) in Tshwane academic hospitals in the collaborative management and rehabilitation of patients with pelvic fractures, using semi-structured interviews. Thematic analysis was used to analyse data.

RESULTS

 Six overarching themes were identified from the interviews with HPs: The biopsychosocial lens of the patient, limitations in approaches to care, contextual impediments to care, the team challenge; the biopsychosocial aspects of care and forging forward to improve care.

CONCLUSION

 A multidisciplinary approach is encouraged for the comprehensive management of pelvic fractures. However, a poor understanding of roles and poor referral structures challenge this approach. Further barriers to caring include staff shortages and limited resources. Healthcare professionals recommended interprofessional education and collaborative practice, student training and using standardised outcome measurement tools to improve care for patients with pelvic fractures.Contribution: This study lays a foundation to initiate conversations about the development of an interprofessional model of care for patients with pelvic fractures. Findings might inform health policies on the management of pelvic fractures. Healthcare professionals might apply strategies that enhance the quality of healthcare provided. Patients with pelvic fractures might receive quality interprofessional healthcare that promotes quality of life, post pelvic fractures.

Caring Knowledge as a Strategy to Mitigate Violence against Nurses: A Discussion Paper

Violence against nurses is a disturbing trend in healthcare that has reached epidemic proportions globally. These violent incidents can result in physical and psychological injury, exacerbating already elevated levels of stress and burnout among nurses, further contributing to absenteeism, turnover, and intent to leave the profession. To ensure the physical and mental well-being of nurses and patients, attention to the development of strategies to reduce violence against nurses must be a priority. Caring knowledge-rooted in the philosophy of care-is a potential strategy for mitigating violence against nurses in healthcare settings. We present what caring knowledge is, analyze its barriers to implementation at the health system and education levels and explore potential solutions to navigate those barriers. We conclude how the application of models of caring knowledge to the nurse-patient relationship has the potential to generate improved patient safety and increased satisfaction for both nurses and patients.

Transcultural adaptation and assessment of psychometric properties of the Spanish version of the Scale for the Evaluation of Staff-Patient Interactions in Progress Notes

PURPOSE

To adapt the Scale for the Evaluation of Staff Patient Interactions in Progress Notes to Spanish and to test the psychometric properties.

DESIGN AND METHODS

The study was conducted in two phases: (1) Adaptation of the instrument to Spanish following the Standards for Educational and Psychological Testing. (2) Psychometric study in a sample of mental health nurses.

FINDINGS

The Cronbach's alpha values were 0.97 for the total scale and 0.83 to 0.81 for each dimension. The inter-rater reliability values were between 0.94 and 0.97.

PRACTICE IMPLICATIONS

The scale is a reliable tool for assessing nurses' clinical notes in relation to the quality of nurse-patient interactions.

The Patient Experience of the Future is Personalized: Using Technology to Scale an N of 1 Approach

Personalized experiences are more effective at creating sustained behavior change. Digitally enabled personalized outreach can improve patient’s experience by providing relevant, meaningful calls to action at a time when labor-intensive human-to-human personalization is challenged by systemic health staffing shortages. Strategic use of digital tools to engage patients and supplement human-to-human care scale personalization to the benefit of patient and provider experience. Specifically, digital personalization can support: Identification of patients eligible for a procedure, service, or outreach Engaging patients with a personalized call to action Augmenting care through the use of digital tools, and Monitoring patient progress over time to ensure continued support. The technology to support a more personalized patient experience includes infrastructure to consolidate rich data, an intelligence capability to identify candidates for each call to action, and an engagement layer that presents patients with personalized output. Steps to develop and execute a personalization strategy are provided.

A Novel Use of Bar Code Medication Administration Data to Assess Nurse Staffing and Workload

OBJECTIVE

The aim of the study is to introduce an innovative use of bar code medication administration (BCMA) data, medication pass analysis, that allows for the examination of nurse staffing and workload using data generated during regular nursing workflow.

METHODS

Using 1 year (October 1, 2014-September 30, 2015) of BCMA data for 11 acute care units in one Veterans Affairs Medical Center, we determined the peak time for scheduled medications and included medications scheduled for and administered within 2 hours of that time in analyses. We established for each staff member their daily peak-time medication pass characteristics (number of patients, number of peak-time scheduled medications, duration, start time), generated unit-level descriptive statistics, examined staffing trends, and estimated linear mixed-effects models of duration and start time.

RESULTS

As the most frequent (39.7%) scheduled medication time, 9:00 was the peak-time medication pass; 98.3% of patients (87.3% of patient-days) had a 9:00 medication. Use of nursing roles and number of patients per staff varied across units and over time. Number of patients, number of medications, and unit-level factors explained significant variability in registered nurse (RN) medication pass duration (conditional R2  = 0.237; marginal R2  = 0.199; intraclass correlation = 0.05). On average, an RN and a licensed practical nurse (LPN) with four patients, each with six medications, would be expected to take 70 and 74 minutes, respectively, to complete the medication pass. On a unit with median 10 patients per LPN, the median duration (127 minutes) represents untimely medication administration on more than half of staff days. With each additional patient assigned to a nurse, average start time was earlier by 4.2 minutes for RNs and 1.4 minutes for LPNs.

CONCLUSION

Medication pass analysis of BCMA data can provide health systems a means for assessing variations in staffing, workload, and nursing practice using data generated during routine patient care activities.

Care Perceptions in two ICU Nursing Care Delivery Models: A qualitative-comparative approach

OBJECTIVES

Analyzed in compared perspective perceptions about nursing care, nurse-patient interaction, and nursing care outcomes in two ICU nursing staff in a high-complexity hospital institution, whose Nursing are Delivery Models (NCDM) are differentiated by the proportion of nurses and nurse assistants (NA) per team and by the assigned tasks and responsibilities.

METHODS

Particularist ethnography with adaptation to virtual methodologies. It included the sociodemographic characteristics of 19 nurses and 23 NA, 14 semi-structured interviews, review of patients' clinical records, and a focus group. Coding, categorization, inductive analysis, validation of results with participants were conducted and thematic saturation was achieved.

RESULTS

Four themes were identified: i) Professionalized care: a nursing of superior value; ii) senses and feelings of care; iii) nursing workload, generating factors and impacts; and iv) nursing missed care as concrete expression of the nursing workload.

CONCLUSIONS

Compared nursing teams perceived nursing care in different ways, since it was experienced based on the assigned responsibilities and the possibilities of interaction with patients. Nursing care in the NCDM of the ICU with prevalence of direct bedside care by nurses with support from NA, it was perceived as holistic, comprehensive, and empathetic; whereas in the ICU with prevalence of delegated care to NA, it was related with administrative leadership and management of the ICU. Regarding the results, the NCDM of the ICU of direct bedside care by nurses showed better performance in patient safety and was closer to the skill level and legal responsibility of the nursing staff.

Pilot Testing of the Promoting Positive Care Interactions Intervention in Assisted Living

The current study aimed to test the feasibility and preliminary efficacy of the Promoting Positive Care Interactions (PPCI) intervention designed to establish positive care interactions between staff and residents in assisted living (AL) using an online approach. PPCI was implemented in one AL community using a single group pre-/posttest design; 17 care staff were recruited from the memory care unit. Delivery, receipt, and enactment of the PPCI were assessed for feasibility. Change in staff outcomes and facility outcomes were examined for preliminary efficacy. The four steps of the PPCI were implemented as intended with 100% staff exposure to education and considerable staff engagement in weekly mentoring sessions. Although there was an improvement in AL environment and policy, no significant changes were observed in staff outcomes. Future testing of the PPCI should include a longer timeline and explore a hybrid model that includes online education and in-person mentoring and coaching of staff to improve care interactions. [Journal of Gerontological Nursing, 48(8), 17-25.].

Recommendations made by patients, caregivers, providers, and decision-makers to improve transitions in care for older adults with hip fracture: a qualitative study in Ontario, Canada

Background

Older adults frequently experience fall-related injuries, including hip fractures. Following a hip fracture, patients receive care across a number of settings and from multiple different providers. Transitions between providers and across settings have been noted as a vulnerable time, with potentially negative impacts. Currently, there is limited research on how to improve experiences with transitions in care following a hip fracture for older adults from the perspectives of those with lived experienced. The purpose of this study was to explore service recommendations made by patients, caregivers, healthcare providers, and decision-makers for improving transitions in care for older adults with hip fracture.

Methods

This descriptive qualitative study was part of a larger longitudinal qualitative multiple case study. Participants included older adults with hip fracture, caregivers supporting an individual with hip fracture, healthcare providers, and decision-makers. In-depth, semi-structured interviews were conducted with all participants, with patients and caregivers having the opportunity to participate in follow-up interviews as they transitioned out of hospital. All interviews were audio-recorded, transcribed verbatim, and analyzed thematically.

Results

A total of 47 participants took part in 65 interviews. We identified three main categories of recommendations: (1) hospital-based recommendations; (2) community-based recommendations; and (3) cross-sectoral based recommendations. Hospital-based recommendations focused on treating patients and families with respect, improving the consistency, frequency, and comprehensiveness of communication between hospital providers and between providers and families, and increasing staffing levels. Community-based recommendations included the early identification of at-risk individuals and providing preventative and educational programs. Cross-sectoral based recommendations were grounded in enhanced system navigation through communication and care navigators, particularly within primary and community care settings.

Conclusions

Our findings highlighted the central role primary care can play in providing targeted, integrated services for older adults with hip fracture. The recommendations outlined have the potential to improve experiences with care transitions for older adults with hip fracture, and thus, addressing and acting on them should be a priority.

Factors Associated With the Quality of Staff-Resident Interactions in Assisted Living

BACKGROUND

Care interactions are verbal or nonverbal interactions between staff and residents during social or physical care activities. The quality of care interactions could be positive, negative, or neutral.

PURPOSE

The purpose of this study was to examine the resident- and facility-level factors associated with the care interactions in assisted living (AL).

METHODS

Regression analysis was performed using a stepwise method utilizing baseline data of 379 residents from 59 AL facilities recruited in a randomized trial.

RESULTS

Accounting for 8.2% of variance, increased resident agitation was associated with negative or neutral quality interactions while for-profit ownership was associated with positive quality interactions.

CONCLUSIONS

To promote positive care interactions, findings suggest the need to educate staff about strategies to minimize resident agitation (eg, calm posture and respectful listening) and work toward optimizing care interactions in nonprofit settings. Future research could further explore the influence of staff-level factors on care interactions.

'I'll put up with things for a long time before I need to call anybody': Face work, the Total Institution and the perpetuation of care inequalities

Failures in fundamental care (e.g. nutrition or pain-relief) for hospitalised patients can have serious consequences, including avoidable deaths. Policy rhetoric of 'shared decision-making' fails to consider how structural constraints and power dynamics limit patient agency in nursing staff-patient interactions. Goffman's concepts of face work, the presentation of self and the Total Institution shaped our analysis of interview and focus group data from hospital patients. Patients avoided threatening 'good' patient and staff face by only requesting missed care when staff face was convincing as 'caring' and 'available' ('engaged'). Patients did not request care from 'distracted' staff ('caring' but not 'available'), whilst patient requests were ignored in Total Institution-like 'dismissive' interactions. This meant patients experienced missed care with both 'distracted' and 'dismissive' staff. Patients with higher support needs were less able to carry out their own missed care to protect staff face, so experienced more serious care omissions. These findings show that many elements of the Total Institution survive in modern healthcare settings despite attempts to support individualised care. Unless nursing staff can maintain face as 'engaged' (despite organisational constraints that can reduce their capacity to do so) patient participation in care decisions will remain at the level of rhetoric.

Staffing, teamwork and scope of practice: Analysis of the association with patient safety in the context of rehabilitation

Aims

To describe the organization of nursing services (staffing, scope of practice, teamwork) and its association with medication errors and falls, in rehabilitation units.

Background

The healthcare system is greatly impacted by the ageing population and the complexity of care associated with chronic diseases. It is therefore necessary to have enough staff who are using their full scope of practice and who are operating in a favourable working environment. However, these conditions are not always met, which can lead to threats to patient safety.

Design

A correlational descriptive study.

Methods

Staffing data and reported safety incidents were collected by shift from 01 October 2019 until 15 January 2020 in five rehabilitation units. In addition, a total of 75 nursing staff members responded to a missed care and teamwork survey. Descriptive analysis and logistic regression analysis were performed.

Results

The mean staff hours per patient shift was 1.39 (SD = 0.60). The teams reported a global missed care score as ‘rarely missed’ at 1.14 (SD = 0.07) and a moderate teamwork score at 3.36 (SD = 0.58) on a five‐point scale. The safety incidents decreased 10‐fold with a predominance of bachelor compared with technician nurses and decreased by 67% when there was an increase of 1 h of care per patient shift.

Conclusions

This study showed that the organization of nursing services in the observed rehabilitation units is characterized by a moderate staffing intensity, a moderate perception of teamwork level and a relatively low level of missed care. It indicated the key role of the staffing in reducing the risk of occurrence of safety incidents. Future research specific to rehabilitation hospitals are greatly needed to improve patient outcomes in this setting.

Impact

Nurse Managers should consider all the aspects of the organization of nursing services (staffing, scope of practice and teamwork) in their efforts to improve patient safety in rehabilitation settings. A central finding of this study is that the staffing intensity, the proportion of bachelor prepared nurses and the proportion of agency staff were positively associated with a reduction of safety incidents.

Nurses and midwives' experiences with peer-group clinical supervision intervention: A pilot study

AIM

This study aimed to evaluate differences in supervisees' understanding of clinical supervision and their perceptions of organisational functioning before and after engaging in peer-group clinical supervision.

BACKGROUND

Protected reflective time allows discussion of complex issues affecting health care. Peer-group clinical supervision is one model of clinical supervision that could facilitate this, but it is poorly understood.

METHODS

A pre-post intervention pilot study was performed. The intervention was delivered over a 12-month period. Data were collected using surveys on demographic and work-related factors and experience of clinical supervision pre- and post intervention.

RESULTS

Adaptability increased significantly between the pre- and post surveys. The post survey data showed finding time for clinical supervision scoring lowest with open-ended comments reinforcing this. The supervisees found the sessions to offer a safe place despite initial concerns.

CONCLUSION

The peer-group model of clinical supervision allowed supervisees to build a rapport and trust with their colleagues and share experiences.

IMPLICATIONS FOR NURSING MANAGEMENT

The benefits to participating in peer-group clinical supervision traversed the individual and organisation. These data support the implementation of such sessions while addressing workload and time pressures to aid participation.

The role of nurse staffing in the performance of function-preserving processes during acute hospitalization: A cross-sectional study

BACKGROUND

Performance of function-preserving hospitalization processes related to patient mobility, use of continence aids and food intake is significantly associated with outcomes in older adults. Nurses are the front-line personnel responsible for promoting performance of such processes. The degree to which nurse staffing is related to this performance is unclear.

OBJECTIVE

To identify nurse-staffing characteristics and nursing-related care needs associated with older patients' mobility, continence care and food intake during acute hospitalization.

DESIGN

Cross-sectional study using survey data from the Hospitalization Process Effects on Functional Outcomes and Recovery (HoPE-FOR) cohort study combined with day-level administrative nurse staffing data and clinical day-level aggregated data for all patients hospitalized during the HoPE-FOR study period.

SETTING

Internal medicine units in two medical centers in Israel.

PARTICIPANTS

Eight hundred seventy-three older adults.

METHODS

Mobility, continence care and food intake were assessed within 2 days of admission using validated questionnaires. Nurse-to-patient ratios and nursing-skill mix (i.e. registered nurses (RNs), nurse aides, nurses with advanced clinical training and RNs with an academic degree) were assessed using administrative data. Decision trees were developed for mobility, continence care and food intake, applying classification and regression-tree analysis.

RESULTS

The mobility decision tree identified three characteristics subdividing patients into six nodes: pre-admission functioning, pre-admission activity level and percentage of nurses with advanced training. The percentage of nurses with advanced training classified low-functioning patients into those walking in corridors versus walking or sitting only inside the room. The continence-care classification decision tree identified two characteristics that subdivided the patients into four nodes: pre-admission functioning and bladder control. Nurse-to-patient-ratio variables and patients' nursing-related care needs did not contribute to this classification. The food-intake decision tree identified four characteristics-pre-admission functioning, gender, percentage of nurses with advanced training and percentage of nurse aides-subdividing patients into eight nodes. Low-functioning patients exposed to a higher percentage of nurses with advanced training had food-intake scores 14% higher than patients exposed to a lower percentage of nurses with advanced training. Independent men exposed to a higher percentage of nurse aides had a 14% higher habitual daily in-hospital food-intake score than independent men exposed to a lower percentage of nurse aides.

CONCLUSIONS

A higher percentage of nurses with post-graduate education is associated with better performance of mobility and food intake of hospitalized older adults. To maintain the potential benefits of highly trained staff, education levels should be considered in scheduling and assignment decision-making processes in internal medicine units. Tweetable abstract: A higher percentage of nurses with post-graduate education is associated with better mobility and food intake of hospitalized older adults.

Staffing the unit with nurses: the role of nurse managers

PURPOSE

To explore the staffing practices of nurse managers at the unit.

DESIGN/METHODOLOGY/APPROACH

Introduction: Ensuring that units are staffed with adequate nurses to render quality nursing care to clients has become increasingly challenging for most hospitals. There is growing evidence linking best patient outcomes and fewer adverse events to the presence of nurses at the bedside. Hospitals require to attract and retain nurses in the units to address the issues of quality, staff and patient safety. Methods: The study used a descriptive phenomenological design to purposively select 15 nurse managers (NMs) and 47 nurses for in-depth interviews and focus group discussions respectively.

FINDINGS

The study found that the demand for nurses to work in the unit was not scientific. Nurses affirmed their frustration of inadequate numbers of staff in the unit especially, at the periphery hospitals. Time can be used as a source of motivation for nurses and nurses should be involved in the development of the duty roster to enable effective compliance. Compensation for additional duties is relevant in nursing.

RESEARCH LIMITATIONS/IMPLICATIONS

The research was carried only in one region in Ghana, and the findings may not be the same in the other regions.

PRACTICAL IMPLICATIONS

Inadequate staffing level has serious implications on patient safety, quality of care and staff outcomes. This situation necessitates the implementation of health sector staffing norms to ensure the right calibre of mix staff are recruited and retained.

ORIGINALITY/VALUE

This study is the first in Ghana that we aware of that explore staffing practices at the unit that identifies factors that impact staff schedules for effective care.

A Hybrid Genetic Algorithm for Nurse Scheduling Problem considering the Fatigue Factor

Nowadays and due to the pandemic of COVID-19, nurses are working under the highest pressure benevolently all over the world. This urgent situation can cause more fatigue for nurses who are responsible for taking care of COVID-19 patients 24 hours a day. Therefore, nurse scheduling should be modified with respect to this new situation. The purpose of the present research is to propose a new mathematical model for Nurse Scheduling Problem (NSP) considering the fatigue factor. To solve the proposed model, a hybrid Genetic Algorithm (GA) has been developed to provide a nurse schedule for all three shifts of a day. To validate the proposed approach, a randomly generated problem has been solved. In addition, to show the applicability of the proposed approach in real situations, the model has been solved for a real case study, a department in one of the hospitals in Esfahan, Iran, where COVID-19 patients are hospitalized. Consequently, a nurse schedule for May has been provided applying the proposed model, and the results approve its superiority in comparison with the manual schedule that is currently used in the department. To the best of our knowledge, it is the first study in which the proposed model takes the fatigue of nurses into account and provides a schedule based on it.

Delivering, funding, and rating safe staffing levels and skills mix in aged care

BACKGROUND

Staffing levels and skill mix are critical issues within residential aged care. The positive impact of a sufficient number and skills mix of staff is upheld by abundant evidence within and beyond the sector. While being able to determine suitable staffing levels and skills mix to provide care to nursing home residents is vital, having an appropriate approach to funding the delivery of care is also critical. Beyond determining staffing levels and skills mix and funding care delivery, transparently rating the adequacy of staffing is also important to enable informed decision-making amongst consumers, policy makers, staff, and other stakeholders. There are existing tools for determining nursing home staffing levels and skills mix, funding care, and rating and reporting staffing, however there appears to be ongoing confusion regarding how these different tools might work together to achieve different things in order to ensure safe, quality care.

OBJECTIVES

In order to explain the importance of ensuring at least a minimum number (staffing level) of the right kind of staff (skills mix) to provide care to nursing home residents, in this paper we briefly explain key differences and interrelationships between three tools; one for determining staffing and skills mix, one for determining funding, and one for rating and reporting the level of staffing within a facility as a measure of quality.

RESULTS

Our explanation of the three existing tools has resulted in the development of a conceptual model for how minimum staffing levels and skills mix supports the delivery of safe, quality care and how this can be understood in relation to determining, funding, and rating staffing levels and skills mix.

CONCLUSIONS

Our conceptual model of how determining, funding, and rating staffing levels and skills mix relate to one another and fulfil different but related purposes can be used to demonstrate how minimum staffing levels and skills mix can be understood as foundational to ensuring respectful, safe, quality care.

Beyond ratios - flexible and resilient nurse staffing options to deliver cost-effective hospital care and address staff shortages: A simulation and economic modelling study

BACKGROUND

In the face of pressure to contain costs and make best use of scarce nurses, flexible staff deployment (floating staff between units and temporary hires) guided by a patient classification system may appear an efficient approach to meeting variable demand for care in hospitals.

OBJECTIVES

We modelled the cost-effectiveness of different approaches to planning baseline numbers of nurses to roster on general medical/surgical units while using flexible staff to respond to fluctuating demand.

DESIGN AND SETTING

We developed an agent-based simulation, where hospital inpatient units move between being understaffed, adequately staffed or overstaffed as staff supply and demand (as measured by the Safer Nursing Care Tool patient classification system) varies. Staffing shortfalls are addressed by floating staff from overstaffed units or hiring temporary staff. We compared a standard staffing plan (baseline rosters set to match average demand) with a higher baseline 'resilient' plan set to match higher than average demand, and a low baseline 'flexible' plan. We varied assumptions about temporary staff availability and estimated the effect of unresolved low staffing on length of stay and death, calculating cost per life saved.

RESULTS

Staffing plans with higher baseline rosters led to higher costs but improved outcomes. Cost savings from lower baseline staff mainly arose because shifts were left understaffed and much of the staff cost saving was offset by costs from longer patient stays. With limited temporary staff available, changing from low baseline flexible plan to the standard plan cost £13,117 per life saved and changing from the standard plan to the higher baseline 'resilient' plan cost £8,653 per life saved. Although adverse outcomes from low baseline staffing reduced when more temporary staff were available, higher baselines were even more cost-effective because the saving on staff costs also reduced. With unlimited temporary staff, changing from low baseline plan to the standard cost £4,520 per life saved and changing from the standard plan to the higher baseline cost £3,693 per life saved.

CONCLUSION

Shift-by-shift measurement of patient demand can guide flexible staff deployment, but the baseline number of staff rostered must be sufficient. Higher baseline rosters are more resilient in the face of variation and appear cost-effective. Staffing plans that minimise the number of nurses rostered in advance are likely to harm patients because temporary staff may not be available at short notice. Such plans, which rely heavily on flexible deployments, do not represent an efficient or effective use of nurses.

STUDY REGISTRATION

ISRCTN 12307968 Tweetable abstract: Economic simulation model of hospital units shows low baseline staff levels with high use of flexible staff are not cost-effective and don't solve nursing shortages.

Impact of safe nurse staffing on the quality of care in Portuguese public hospitals: A cross-sectional study

AIM

To assess the impact of safe nurse staffing on the quality of care, based on the structure-process-outcome approach, in Portuguese hospitals.

BACKGROUND

Safe nurse staffing is essential for the quality of care in hospital settings, together with work environment, organisational commitment and nursing practices. However, there is little evidence of its analysis in the Portuguese context.

METHOD

A cross-sectional survey study was conducted using a sample of 850 nurses from 12 public hospital units in the central and northern regions of Portugal.

RESULTS

The proposed structural equation model for quality assessment has a good fit (χ² /df = 2.37; CFI = 0.88, PCFI = 0.83; PGFI = 0.77, RMSEA = 0.04), showing the impact of safe nurse staffing, work environment, and affective and normative organisational commitment on the quality of care (mortality rate and adverse events). The mediating effect of nursing practices was also found.

CONCLUSION

Safe nurse staffing, which is compromised in 90% of the units, is a predictor of the quality of care through the mediating effect of nursing practices.

IMPLICATIONS FOR NURSING MANAGEMENT

The results not only highlight the need for urgent intervention but also support political decision-making with a view to improving the access to quality care.

Hospital and patient factors influencing the health status among patients with schizophrenia, thirty days after hospital discharge: multi-level analysis

BACKGROUND

The time between discharge from hospital and transition to community and home is a critical period for health status among patients with a mental illness, including patients with schizophrenia. This study aimed to investigate crucial patient factors (patient-level) and hospital factors (hospital-level) affecting health status and see whether patient factor effects on health status vary with hospital factors, 30 days after hospital discharge.

METHODS

This is a prospective study of 1255 patients with schizophrenia and their primary caregivers from 13 public mental hospitals across Thailand. Logistic regression and multi-level logistic regression was used to investigate the effects of patient and hospital factors simultaneously on health status, 30 days after hospital discharge.

RESULTS

The intraclass correlation coefficient indicated that 14% of the change in health status was explained by the differences between hospital. Poor health status was identified in 14.26% of patients, 30 days after hospital discharge. The majority of participant patients were male (69.8%), single (71.87%), and the average age was 38.09 (SD = 9.74). The finding also showed that the patient factors; being female (ORadj .53, 95%CI .31,.92), perceived moderate and high levels of positive aspect of caregiving (ORadj .24, 95%CI .14,.42 and ORadj .05, 95%CI .02,.09), perceived readiness for hospital discharge (ORadj .21, 95%CI .13,.33), partial and full adherence to treatment (ORadj .24, 95%CI .14,.42 and ORadj .31, 95%CI .20,.47) showed a reduced likelihood of developing poor health status except substance use (ORadj 1.55, 95%CI .98, 2.44). Hospital factors; discharge planning process and nurse-patient ratio (ORadj 1.64, 95%CI 1.17, 2.30 and ORadj 1.16, 95%CI 1.09, 1.22) showed an increased likelihood of developing poor health status, 30 days after hospital discharge.

CONCLUSIONS

Findings provide relevant information on how both patient and hospital factors determine health status. These results might lead to better targeting of mental health service policy and enable more precise information gathering and allocation of resources. However, future research should be more focused and continue investigating the pathways through which hospital factors influence health status post-discharge.

Older adult experience of care and staffing on hospital and community wards: a cross-sectional study

Background

Recent major concerns about the quality of healthcare delivered to older adults have been linked to inadequate staffing and a lack of patient-centred care. Patient experience is a key component of quality care - yet there has been little research on whether and how staffing levels and staffing types affect satisfaction amongst older adult hospital inpatients. This study aimed to evaluate the association between registered nurse and healthcare assistant staffing levels and satisfaction with care amongst older adult hospital inpatients, and to test whether any positive effect of higher staffing levels is mediated by staff feeling they have more time to care for patients.

Methods

Survey data from 4928 inpatients aged 65 years and older and 2237 medical and nursing staff from 123 acute and community medical wards in England, United Kingdom (UK) was collected through the Royal College of Psychiatrist’s Elder Care Quality Mark. The cross-sectional association between staffing ratios and older adult patient satisfaction, and mediation by staff perceived time to care, was evaluated using multi-level modelling, adjusted for ward type and with a random effect for ward identity.

Results

Higher numbers of patients per healthcare assistant were associated with poorer patient satisfaction (adjusted β = − 0.32, 95% CI − 0.55 to 0.10, p < 0.01), and this was found to be partially mediated by all ward staff reporting less time to care for patients (adjusted β = − 0.10, bias-corrected 95% CI − 1.16 to − 0.02). By contrast, in both unadjusted and adjusted models, the number of patients per registered nurse was not associated with patient satisfaction.

Conclusions

Older adult hospital patients may particularly value the type of care provided by healthcare assistants, such as basic personal care and supportive communication. Additionally, higher availability of healthcare assistants may contribute to all ward staff feeling more able to spend time with patients. However, high availability of registered nurses has been shown in other research to be vital for ensuring quality and safety of patient care. Future research should seek to identify the ideal balance of registered nurses and healthcare assistants for optimising a range of outcomes amongst older adult patients.

Performance of the Safer Nursing Care Tool to measure nurse staffing requirements in acute hospitals: a multicentre observational study

OBJECTIVES

The 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.

DESIGN

Observational study linking datasets of staffing requirements (estimated using a tool) to professional judgements of adequate staffing. Multilevel logistic regression modelling.

SETTING

81 medical/surgical units in four acute care hospitals.

PARTICIPANTS

22 364 unit days where staffing levels and SNCT ratings were linked to nurse reports of "enough staff for quality".

PRIMARY OUTCOME MEASURES

SNCT-estimated staffing requirements and nurses' assessments of staffing adequacy.

RESULTS

The 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.

CONCLUSIONS

The 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 NUMBER

ISRCTN12307968.

The Safer Nursing Care Tool as a guide to nurse staffing requirements on hospital wards: observational and modelling study

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 inHealth Services and Delivery Research; Vol. 8, No. 16. See the NIHR Journals Library website for further project information.

Nursing workload, nurse staffing methodologies and tools: A systematic scoping review and discussion

Background

The importance of nurse staffing levels in acute hospital wards is widely recognised but evidence for tools to determine staffing requirements although extensive, has been reported to be weak. Building on a review of reviews undertaken in 2014, we set out to give an overview of the major approaches to assessing nurse staffing requirements and identify recent evidence in order to address unanswered questions including the accuracy and effectiveness of tools.

Methods

We undertook a systematic scoping review. Searches of Medline, the Cochrane Library and CINAHL were used to identify recent primary research, which was reviewed in the context of conclusions from existing reviews.

Results

The published literature is extensive and describes a variety of uses for tools including establishment setting, daily deployment and retrospective review. There are a variety of approaches including professional judgement, simple volume-based methods (such as patient-to-nurse ratios), patient prototype/classification and timed-task approaches. Tools generally attempt to match staffing to a mean average demand or time requirement despite evidence of skewed demand distributions. The largest group of recent studies reported the evaluation of (mainly new) tools and systems, but provides little evidence of impacts on patient care and none on costs. Benefits of staffing levels set using the tools appear to be linked to increased staffing with no evidence of tools providing a more efficient or effective use of a given staff resource. Although there is evidence that staffing assessments made using tools may correlate with other assessments, different systems lead to dramatically different estimates of staffing requirements. While it is evident that there are many sources of variation in demand, the extent to which systems can deliver staffing levels to meet such demand is unclear. The assumption that staffing to meet average need is the optimal response to varying demand is untested and may be incorrect.

Conclusions

Despite the importance of the question and the large volume of publication evidence about nurse staffing methods remains highly limited. There is no evidence to support the choice of any particular tool. Future research should focus on learning more about the use of existing tools rather than simply developing new ones. Priority research questions include how best to use tools to identify the required staffing level to meet varying patient need and the costs and consequences of using tools.

Tweetable abstract

Decades of research on tools to determine nurse staffing requirements is largely uninformative. Little is known about the costs or consequences of widely used tools.