The effect of nurse staffing on patient‐safety outcomes: A cross‐sectional survey

Wang, Limin; Han, Lu; Dong, Xu; Huang, Xiuxiu; Li, Bei; Wan, Qiaoqin; Shang, Shaomei

doi:10.1111/jonm.13138

Cited by 34 publications

(44 citation statements)

References 31 publications

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“…The ratio of nurses who have worked for more than 10 years was inversely proportional to teamwork and nurses’ psychological problems (r s = 0.135, r s = 0.203), which indicated that nurses with more work experience had stronger abilities for team cooperation, communication skills, and coping skills under pressure. But research conducted by Wang et al [ 17 ] pointed out that the proportion of nurses with work experience of ≤5 years was a protective factor for preventing adverse events. Therefore, the proportion of nurses at all levels should be taken into account in the allocation of the nursing workforce in response to public health emergencies in the future.…”

Section: Discussionmentioning

confidence: 99%

Nursing allocation in isolation wards of COVID-19 designated hospitals: a nationwide study in China

Ren

Chen

et al. 2022

BMC Nurs

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Background Appropriate allocation of nursing staff is key to ensuring efficient nursing in hospitals, and is significantly correlated with patient safety, nursing quality, and nurse job satisfaction. However, there are few studies on nursing workforce allocation in the isolation wards of COVID-19 designated hospitals globally. This study aims to better understand the nursing workforce allocation in the isolation wards of COVID-19 designated hospitals in China, and provide a theoretical basis for efficiently deploying first-line nurses in China and across the world in the future. Methods An online survey was conducted among the head nurses (n = 229) and nurses (n = 1378) in the isolation wards of 117 hospitals (selected by stratified sampling), using a self-reported human resource allocation questionnaire. Results The average bed-to-nurse ratios of different isolation wards were different (Z = 36.742, P = 0.000). The bed-to-nurse ratios of the ICU, suspected COVID-19 cases ward, and confirmed COVID-19 cases ward, were 1:1.88, 1:0.56, and 1:0.45, respectively. The nurse work hours per shift in different isolation wards were also different (Z = 8.468, P = 0.014), with the specific values of the ICU, suspected COVID-19 cases ward, and confirmed COVID-19 cases ward, being 5, 6, and 6 h, respectively. A correlation analysis showed that the average work hours per shift was proportional to the overtime work of nurses (rs = 0.146), the proportion of nurse practitioners was proportional to the overall utilization rate of nursing human resources in the wards (rs = 0.136), and the proportion of nurses with college degrees was proportional to teamwork (rs = 0.142). The proportion of nurses above grade 10 was inversely proportional to teamwork and psychological problems (rs = 0.135, rs = 0.203). The results of multiple stepwise regression analyses showed that the work hours of nurses per shift was the main factor affecting nurse satisfaction and that the proportion of nurses and the work hours of nurses per shift were both independent factors affecting the length of stay (LOS) of patients. Conclusion Hospitals in China have made good nursing workforce allocations during the COVID-19 pandemic, but there are certain shortcomings. Therefore, scientific and efficient nursing workforce allocation practice plans should be established to improve the ability of hospitals to deal with public health emergencies and are urgent problems that need to be addressed soon.

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Section: Discussionmentioning

confidence: 99%

Nursing allocation in isolation wards of COVID-19 designated hospitals: a nationwide study in China

Ren

Chen

et al. 2022

BMC Nurs

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“…It is well known that nurses may vary in their ability to cope with patients and in their working effectiveness depending on their length of experience, education levels and professional titles. Moreover, nurses with different professional–technical titles can be expected to play different roles in patient care, especially in China (Wang et al., 2020). Hence, the skill mix also matters to work outcomes.…”

Section: Introductionmentioning

confidence: 99%

Effects of self‐rated workload and nurse staffing on work engagement among nurses: A cross‐sectional survey

et al. 2021

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Ageing of the population and growth in the burden of noncommunicable disease, together with high turnover among registered nurses (RNs), have widened the gap between supply and demand (Marć et al., 2019;Wu et al., 2016). The shortage of RNs has seriously affected patient outcomes, especially in China. By the end of 2017, the number of RNs in China was about 3.8 million, or 2.74 RNs per 1,000 population (China Health Statistics Yearbook, 2018), which is much lower than the average of 9.2 RNs per 1,000 population in the member countries of the Organisation for Economic Co-operation and Development (OECD) and lower than the proportion in all but one of those 35 countries (Amiri et al., 2020). Because the number of nurses to care for patients cannot easily be increased quickly to a sufficient level, researchers and managers may be able to improve patient care more readily by focusing on other factors related to patient outcomes, notably, work engagement.Recently work engagement among nurses has been paid much strategic attention because of its significant relationship to patient outcomes, nurse outcomes and organisational outcomes (Keyko et al., 2016). Work engagement is defined as 'a positive, fulfilling, work-related state of mind that is characterized by vigor, dedication,

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“…[6][7][8][9] In acute care, multiple studies have demonstrated that better nurse staffing (ie, more care hours per client and day and more qualified care teams) is associated with better client outcomes. [10][11][12][13][14][15] For example, Driscroll et al 16 found in their meta-analysis that higher nurse staffing levels decreased the mortality risk by 14% (OR=0.86, 95% CI 0.79 to 0.94). Similarly, a systematic review by Kane et al 17 demonstrated that on intensive care units one registered nurse (RN) more per client day decreased the odds of hospital acquired pneumonia (OR=0.70; 95% CI 0.56 to 0.88), unplanned extubation (OR=0.49; 95% CI 0.36 to 0.67), respiratory failure (OR=0.40; 95% CI 0.27 to 0.59) and cardiac arrest (OR=0.72; 95% CI 0.62 to 0.84).…”

Section: Strengths and Limitations Of This Studymentioning

confidence: 99%

More than just staffing? Assessing evidence on the complex interplay among nurse staffing, other features of organisational context and resident outcomes in long-term care: a systematic review protocol

2022

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IntroductionEspecially in acute care, evidence points to an association between care staffing and resident outcomes. However, this evidence is more limited in residential long-term care (LTC). Due to fundamental differences in the population of care recipients, organisational processes and staffing models, studies in acute care may not be applicable to LTC settings. We especially lack evidence on the complex interplay among nurse staffing and organisational context factors such as leadership, work culture or communication, and how these complex interactions influence resident outcomes. Our systematic review will identify and synthesise the available evidence on how nurse staffing and organisational context in residential LTC interact and how this impacts resident outcomes.Methods and analysisWe will systematically search the databases MEDLINE, EMBASE, CINAHL, Scopus and PsycINFO from inception for quantitative research studies and systematically conducted reviews that statistically modelled interactions among nurse staffing and organisational context variables. We will include original studies that included nurse staffing and organisational context in LTC as independent variables, modelled interactions between these variables and described associations of these interactions with resident outcomes. Two reviewers will independently screen titles/abstracts and full texts for inclusion. They will also screen contents of key journals, publications of key authors and reference lists of all included studies. Discrepancies at any stage of the process will be resolved by consensus. Data extraction will be performed by one research team member and checked by a second team member. Two reviewers will independently assess the methodological quality of included studies using four validated checklists appropriate for different research designs. We will conduct a meta-analysis if pooling is possible. Otherwise, we will synthesise results using thematic analysis and vote counting.Ethics and disseminationEthical approval is not required as this project does not involve primary data collection. The results of this study will be disseminated via peer-reviewed publications and conference presentation.PROSPERO Registration numberCRD42021272671.

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The effect of nurse staffing on patient‐safety outcomes: A cross‐sectional survey

Cited by 34 publications

References 31 publications

Nursing allocation in isolation wards of COVID-19 designated hospitals: a nationwide study in China

Nursing allocation in isolation wards of COVID-19 designated hospitals: a nationwide study in China

Effects of self‐rated workload and nurse staffing on work engagement among nurses: A cross‐sectional survey

More than just staffing? Assessing evidence on the complex interplay among nurse staffing, other features of organisational context and resident outcomes in long-term care: a systematic review protocol

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