Preventing readmission to hospital after giving birth is a key priority, as rates have been rising along with associated costs. There are many contributing factors to readmission, and some are thought to be preventable. Nurse and midwife understaffing has been linked to deficits in care quality. This study explores the relationship between staffing levels and readmission rates in maternity settings.
We conducted a retrospective longitudinal study using routinely collected individual patient data in three maternity services in England from 2015 to 2020. Data on admissions, discharges and case-mix were extracted from hospital administration systems. Staffing and workload were calculated in Hours Per Patient day per shift in the first two 12-hour shifts of the index (birth) admission. Postpartum readmissions and staffing exposures for all birthing admissions were entered into a hierarchical multivariable logistic regression model to estimate the odds of readmission when staffing was below the mean level for the maternity service.
64 250 maternal admissions resulted in birth and 2903 mothers were readmitted within 30 days of discharge (4.5%). Absolute levels of staffing ranged between 2.3 and 4.1 individuals per midwife in the three services. Below average midwifery staffing was associated with higher rates of postpartum readmissions within 7 days of discharge (adjusted OR (aOR) 1.108, 95% CI 1.003 to 1.223). The effect was smaller and not statistically significant for readmissions within 30 days of discharge (aOR 1.080, 95% CI 0.994 to 1.174). Below average maternity assistant staffing was associated with lower rates of postpartum readmissions (7 days, aOR 0.957, 95% CI 0.867 to 1.057; 30 days aOR 0.965, 95% CI 0.887 to 1.049, both not statistically significant).
We found evidence that lower than expected midwifery staffing levels is associated with more postpartum readmissions. The nature of the relationship requires further investigation including examining potential mediating factors and reasons for readmission in maternity populations.
by Chorong Park, Britta Larsen, Simona C. Kwon, Yuhe Xia, Marianna LaNoue, Victoria V. Dickson, Harmony R. Reynolds, Tanya M. Spruill
The 24-hour day consists of physical activity (PA), sedentary behavior, and sleep, and changing the time spent on one activity affects the others. Little is known about the impact of such changes on cardiovascular risk, particularly in Asian American immigrant (AAI) women, who not only have a higher cardiovascular risk but also place greater cultural value on family and domestic responsibilities compared to other racial/ethnic groups. The purpose of this study was to evaluate the effects of reallocating 30 minutes of each 24-hour activity component for another on BMI, waist circumference, and blood pressure in AAI women. Seventy-five AAI women completed 7 days of hip and wrist actigraphy monitoring and were included in the analysis (age = 61.5±8.0 years, BMI = 25.5±3.6 kg/m2, waist circumference = 85.9±10.2 cm). Sleep was identified from wrist actigraphy data, and moderate-to-vigorous PA (MVPA), light PA, and sedentary behavior identified from hip actigraphy data. On average, the women spent 0.5 hours in MVPA, 6.2 hours in light PA, 10 hours in sedentary activities, and 5.3 hours sleeping within a 24-hour day. According to the isotemporal substitution models, replacing 30 minutes of sedentary behavior with MVPA reduced BMI by 1.4 kg/m2 and waist circumference by 4.0 cm. Replacing that same sedentary time with sleep reduced BMI by 0.5 kg/m2 and waist circumference by 1.4 cm. Replacing 30 minutes of light PA with MVPA decreased BMI by 1.6 kg/m2 and waist circumference by 4.3 cm. Replacing 30 minutes of light PA with sleep also reduced BMI by 0.8 kg/m2 and waist circumference by 1.7 cm. However, none of the behavioral substitutions affected blood pressure. Considering AAI women’s short sleep duration, replacing their sedentary time with sleep might be a feasible strategy to reduce their BMI and waist circumference.The cumulative stress toll on nurses increased during the COVID-19 pandemic. An evidence-based practice (EBP) project was conducted to understand what is known about the impacts of cumulative stress within nursing and if there are ways to mitigate stress during a nurse's shift.
A project team from three clinical units completed an extensive literature review and identified the need to promote detachment while supporting parasympathetic recovery. Based on this review, leaders from three pediatric clinical units (neonatal intensive care unit, cardiovascular intensive care unit, and acute pulmonary floor) implemented respite rooms.
Follow-up outcomes showed a statistically significant stress reduction. For all shifts combined, the Wilcoxon Signed-Rank Test revealed that perceived stress scores from an 11-point Likert scale (0 = no stress and 10 = maximum perceived stress) were significantly lower in the post-respite room (Md = 3, n = 68) compared to in the pre-respite room (Md = 6, n = 68), Z = −7.059, p < .001, with a large effect size, r = .605. Nurses and other staff frequently utilized respite rooms during shifts.
Clinical inquiry and evidence-based practice processes can mitigate cumulative stress and support staff wellbeing. Respite rooms within the hospital can promote a healthy work environment among nurses and promote a self-care culture change. Evidence-based strategies to mitigate cumulative stress using respite rooms are a best practice to promote nurse wellbeing and mitigate cumulative stress.
This study provides an overview of the literature to identify and map the types of available evidence on self-supporting mobile applications used by nurses in wound care regarding their development, evaluation and outcomes for patients, nurses and the healthcare system.
Scoping review.
Joanna Briggs Institute scoping review methodology was used.
A search was performed using MEDLINE, Embase, CINAHL (via EBSCO), Web of Science, LiSSa (Littérature Scientifique en Santé), Cochrane Wounds, Érudit and grey literature, between April and October 2022, updated in April 2023, to identify literature published in English and French.
Eleven studies from 14 publications met the inclusion criteria. Mostly descriptive, the included studies presented mobile applications that nurses used, among other things, to assess wounds and support clinical decision-making. The results described how nurses were iteratively involved in the process of developing and evaluating mobile applications using various methods such as pilot tests. The three outcomes most frequently reported by nurses were as follows: facilitating care, documentation on file and access to evidence-based data.
The potential of mobile applications in wound care is within reach. Nurses are an indispensable player in the successful development of these tools.
If properly developed and evaluated, mobile applications for wound care could enhance nursing practices and improve patient care. The development of ethical digital competence must be ensured during initial training and continued throughout the professional journey.
We identified a dearth of studies investigating applications that work without Internet access. More research is needed on the development of mobile applications in wound care and their possible impact on nursing practice in rural areas and the next generation of nurses.
The Preferred Reporting Items for Systematic Reviews and Meta-analysis Extension for Scoping Review guidelines were used.
No patient or public contribution.
Commentary on: Yurtbasi MK, Melvin G, Pavlou C, Gordon M. Staff perspectives on the effects of seclusion in adolescent psychiatric inpatient care. Int J Ment Health Nurs. 2023 Apr;32(2):567–578. doi: 10.1111/inm.13102. Epub 2022 Dec 15.
Nursing staff find adolescent seclusions necessary but also experience related guilt and self-doubt. Seclusion protocols in adolescent psychiatric units should include alternatives to seclusion and debriefing processes.
Seclusions cause distress in patients and lead to negative outcomes, including death. Growing research demonstrates that seclusion rates vary by age, sex, race, diagnosis and personal history of adverse events.