Exploring factors that affect nurse staffing: a descriptive qualitative study from nurse managers' perspective.

BACKGROUND: The appropriate nurse staffing reflects the situation of nursing management of human resources. Nurse managers have a pivotal role in determining a competent and sufficient number of nurses. It is important to understand the factors influencing nurse staffing to promote appropriate staffing levels. The study aimed to explore the factors affecting nurse staffing from the perspective of nursing managers. METHODS: Purposive sampling was adopted to recruit 14 nurse managers from secondary and tertiary hospitals located in the central region of China, and semi-structured interviews via telephone were conducted from April to May 2022. Interview transcripts were analyzed and collated using thematic analysis. RESULTS: This research identified four themes and ten subthemes influencing nurse staffing. Extracted themes include: government level (inadequacy of mandatory policies, budgetary constraints), hospital level (hospital characteristics, the control of nurse labor costs, inadequate support on nursing), patient level (patient characteristics, increasing care needs), and nurse level (nurse shortage, skill-mix, individual high-level needs). CONCLUSION: The findings indicate that it is crucial for decision-makers or policymakers to legislate for safe nurse staffing and establish effective supervision and funding incentives. Tailored interventions are also needed to improve the organizational context, address the nurse workforce and balance the structure of nurse staff.

Development of a breastfeeding duration risk nomogram for use in postpartum Chinese women.

Previous studies have investigated influencing factors of early discontinuation of breastfeeding, but few studies have developed an easy-to-use tool to identify risk of breastfeeding cessation at 6 months after birth. This research team aimed to develop and validate an exclusive breastfeeding duration risk nomogram in Chinese mothers. A longitudinal cohort survey was conducted. Data were collected from 394 postpartum women in three hospitals in Hubei Province, China from December 2017 to December 2018. The LASSO regression model was used to screen for optimized factors in an exclusive breastfeeding duration model. Multivariable logistic regression was applied to construct a prediction model. Discrimination and calibration were assessed using a C-index and calibration curve, and internal validity was established using bootstrapping validation. Factors integrated in the prediction risk nomogram were monthly household income (odds ratio [OR] = 1.31, 95% confidence interval [CI]: [0.95, 1.80]), experiences of breastfeeding (OR = 1.23, 95% CI: [0.92, 1.63]), attitude (OR = 1.72, 95% CI: [0.94, 3.16]), self-efficacy (OR = 2.45, 95% CI: [1.40, 4.29]), perceived insufficient milk supply (OR = 0.12, 95% CI: [0.06, 0.25]) and postpartum depression (OR = 0.06, 95% CI: [0.02, 0.17]). The model displayed good discrimination with a C-index of 0.87 (95% CI: [0.84, 0.91]) and good calibration. The C-index interval validation was confirmed to be 0.86. This study resulted in the development of a novel nomogram with good accuracy to aid healthcare professionals in assessing the probability of a mother discontinuing exclusive breastfeeding at the breast before 6 months.

Efficacy and Safety of Domperidone and Metoclopramide in Breastfeeding: A Systematic Review and Meta-Analysis.

Objectives: To evaluate the efficacy and safety of domperidone and metoclopramide used by breastfeeding women. Methods: A systematic literature search retrieved citations from PubMed, Embase, The Cochrane Library, Medline, EBSCO, Web of Science, ClinicalTrials.gov (from inception to January, 2021) and bibliographies of known articles. Randomized controlled trials exploring the effects of domperidone and metoclopramide in breastfeeding women with term and preterm infants experiencing adequate or low milk supply were identified. Human milk volume and maternal side effects were presented as mean difference (MD) or relative risks (RR) with 95% confidence intervals (CI). Results: Sixteen trials involving 729 women were included in the qualitative analysis and 14 trials involving 607 women were included in the meta-analysis. In mothers of preterm infants with low milk supply, domperidone demonstrated a significant increase in daily human milk volume (MD = 90.53 mL/day, 95% CI [65.42 to 115.64], I2 = 9%). However, metoclopramide did not show significant difference in daily human milk volume in women with preterm infants (MD = -1.14 mL/day, 95% CI [-31.42 to 29.14], I2 = 0%). No differences in maternal side effects were noted with domperidone (RR = 1.20, 95% CI [0.74 to 1.97], I2 = 0%) or metoclopramide (RR = 1.05, 95% CI [0.52 to 2.11], I2 = 27%) in women with preterm infants. Regarding the women with term infants, there were insufficient data in the current review. Conclusions: Domperidone can be used to treat low milk supply in women with preterm infants without significant side effects based on the current review. More evidence exploring the efficacy and safety of domperidone and metoclopramide are still needed for breastfeeding women in the future.

Influence of perceived stress and workload on work engagement in front-line nurses during COVID-19 pandemic.

AIMS AND OBJECTIVES: To clarify both the potential influencing factors and the current status of front-line nurses' work engagement, and thus provide a reference for targeted interventions. BACKGROUND: After coronavirus disease 2019 outbreak, front-line nurses embraced remarkable potential stress and huge workload when caring for coronavirus disease 2019 patients, which may lead to new challenges to work engagement. DESIGN: A large sample survey was conducted at the end of February 2020 in a designated hospital treating coronavirus disease 2019 patients in Wuhan, the capital of Hubei Province, in China. t Test, one-way ANOVA, chi-squared test, Pearson's correlation and hierarchical multiple regression were performed among 1,040 nurses using SPSS 24.0. The STROBE checklist was followed for observational studies. RESULTS: The final model interpreted 27.3% of the variance, of which each block could explain 11.7%, 10.3% and 7.9% R2 changes including sociodemographic characteristics, stress and workload, respectively. Work engagement was negatively correlated with stress and workload. The potential influencing factors included sociodemographic characteristics (married, rescue staff, cabin ward), stress (infection control, PPE discomfort) and workload (mental demand, performance, frustration). CONCLUSIONS: Front-line nurses perceived low stress and workload, but high work engagement, especially in self-dedication. However, infection control, PPE discomfort and frustration were negatively associated with nurses' work engagement, while mental demand and good performance were positively associated with nurses' work engagement. Future interventions focused on decreasing front-line staff's infection risk and enhancing their self-confidence may be recommendable to promote their work engagement.

Healthcare workers' stress when caring for COVID-19 patients: An altruistic perspective.

BACKGROUND: When the contagious COVID-19 spread worldwide, the frontline staff faced unprecedented excessive work pressure and expectations of all of the society. OBJECTIVE: The aim was to explore healthcare workers' stress and influencing factors when caring for COVID-19 patients from an altruistic perspective. METHODS: A cross-sectional, descriptive study was conducted in a tertiary hospital during the outbreak of COVID-19 between February and March 2020 in Wuhan, the capital city of Hubei province in China. Data were collected from 1208 healthcare workers. Descriptive statistics and multiple linear regression were used to analyze the data. ETHICAL CONSIDERATIONS: Research ethics approval (with the code of TJ-IRB20200379) was obtained from Tongji Hospital, Tongji Medical College of Huazhong University of Science and Technology. Written informed consent was also received from participants. RESULTS: Less than 60% of participants chose moderate or severe stress on all stressors, indicating a low stress level among healthcare workers. The main source of stress among frontline healthcare workers caring for COVID-19 patients came from the fear of being infected, the fear of family members being infected, and the discomfort caused by protective equipment. Frontline staff who were nurses, were married, and had worked more than 20 days suffered higher stress, whereas rescue staff showed lower stress. CONCLUSION: The healthcare workers caring for patients with COVID-19 had low stress level, although they still had the fear of being infected or uncomfortable feeling caused by personal protective equipment. A low stress level among healthcare workers indicated their professional devotion and altruism during COVID-19 epidemic. Medical institutions and the government should continue to strengthen infection prevention measures and provide more comprehensive care involving families of frontline healthcare workers, especially nurses and married staff. It will be a lesson to other countries that awaking healthcare workers' inside motivation and providing necessary support from government and society were significant.

Effects of physical exercise during pregnancy on maternal and infant outcomes in overweight and obese pregnant women: A meta-analysis.

BACKGROUND: Overweight and obesity are related to maternal and infant physical health, such as gestational diabetes, preeclampsia, and macrosomia. The purpose of this meta-analysis was to assess the effect of physical exercise on maternal and infant outcomes in overweight and obese pregnant women. METHODS: Two researchers independently searched Cochrane Library, Embase, PubMed, Web of Science, and ClinicalTrials.gov. for English-language articles based on randomized controlled trials examining physical exercise in overweight and obese pregnant women and its effect on maternal and infant outcomes. Primary outcomes were gestational weight gain and a relative risk of gestational diabetes. Secondary outcomes were gestational hypertension, preeclampsia, cesarean delivery, birthweight, large for gestational age, small for gestational age, macrosomia, and preterm birth. Risk bias was evaluated by Cochrane Collaboration's tool. The results of integration were reported as relative risks (RR), mean difference, or standard mean difference with 95% confidence intervals (CI). This meta-analysis was registered on PROSPERO on November 18, 2017, with registration number CRD42017081565. RESULTS: Thirteen studies involving 1439 participants were included. Physical exercise reduced gestational weight gain (mean difference = -1.14 kg, 95% CI = [-1.67 to -0.62], P < 0.0001) and the risk of gestational diabetes (RR = 0.71, 95% CI = [0.57-0.89], P = 0.004) in overweight and obese pregnant women. There were no significant differences in other outcomes such as gestational hypertension, preeclampsia, cesarean delivery, birthweight, large for gestational age, small for gestational age, macrosomia, and preterm birth. CONCLUSIONS: Prenatal exercise interventions reduced gestational weight gain and the risk of gestational diabetes for overweight and obese pregnant women, which reinforced the benefits of exercise during pregnancy. However, no evidence was found with respect to benefits and/or harm for infants. Consideration should be taken when interpreting these findings as a result of the relative small sample size in this meta-analysis. Further larger well-designed randomized trials may be helpful to assess the short-term and long-term effects of prenatal exercise on maternal and infant outcomes.