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1.
Nurs Womens Health ; 28(3): 199-204, 2024 Jun.
Article in English | MEDLINE | ID: mdl-38518810

ABSTRACT

OBJECTIVE: To reduce surgical site infections (SSIs) after cesarean birth through a bundled care approach. DESIGN: Quality improvement project. SETTING/LOCAL PROBLEM: In a community hospital obstetric unit, an increase in SSIs after cesarean birth was observed. PARTICIPANTS: Nursing leaders, obstetricians, certified nurse-midwives, physician assistants, nurses, scrub technicians, a nursing professional development specialist, and an infection prevention practitioner. INTERVENTIONS/MEASURES: An interdisciplinary team was formed in early 2022, and an evidence-based care bundle including practice changes, education for the team, and enhanced education for patients undergoing cesarean birth was developed and implemented after a review of the literature was completed. All cesarean births were tracked pre- and postintervention to determine the rate of SSIs per 1,000 cesarean births. RESULTS: A decrease in the rate of SSIs after cesarean birth was observed from preintervention (18.2 per 1,000 cesarean births) to postintervention (11.8 per 1,000 cesarean births). CONCLUSION: An evidence-based quality improvement care bundle using a multidisciplinary team approach was associated with reduced SSIs in an obstetric unit.


Subject(s)
Cesarean Section , Patient Care Bundles , Quality Improvement , Surgical Wound Infection , Humans , Surgical Wound Infection/prevention & control , Cesarean Section/adverse effects , Female , Patient Care Bundles/methods , Patient Care Bundles/standards , Pregnancy , Adult
2.
J Nurs Adm ; 54(2): 111-117, 2024 Feb 01.
Article in English | MEDLINE | ID: mdl-38261642

ABSTRACT

OBJECTIVE: The aim of this study was to investigate how the experience of caring for COVID-19 patients, nurses' moral distress, and the current practice environment impact nurses' intention to leave. BACKGROUND: Caring for COVID-19 patients has been associated with an increase in nurses' moral distress and an increase in nurses' turnover. To date, research has focused on nurses' moral distress, the practice environment, and intentions to leave during the pandemic's peak. The current workplace climate, including those who stayed in their positions, has not been adequately assessed. METHODS: This cross-sectional correlational study was conducted in a Magnet® hospital. RESULTS: Moral distress related to team/system (B = 0.64, t = 3.86, P < 0.001), nurses' participation in hospital affairs (B = -2.21, t = -3.52, P < 0.001), and staffing (B = -1.91, t = -5.48, P < 0.001) are strongest predictors for nurses' intention to leave postpandemic. CONCLUSIONS: Nurses in practice still report experiencing COVID-related moral distress; however; issues related to resources and staffing have the most substantial impact on intention to leave among the current nursing workforce.


Subject(s)
COVID-19 , Humans , Cross-Sectional Studies , Intention , Workforce , Morals
4.
5.
J Nurs Adm ; 51(2): 60-62, 2021 Feb 01.
Article in English | MEDLINE | ID: mdl-33449593

ABSTRACT

OBJECTIVE: The purpose of this study was to determine staff satisfaction and technology acceptance of continuous video monitoring (CVM) in comparison to sitters. BACKGROUND: Traditionally, sitters have been used to prevent falls in hospitals. Continuous video monitoring has emerged to reduce costs associated with sitters while maintaining safety. METHODS: A descriptive online survey using a modified version of the Technology Acceptance Model was used to gain insight on technology acceptance and satisfaction levels of clinical staff related to CVM. RESULTS: Only 12.73% found CVM to be as effective as sitters. Statistical significance was shown comparing sitters with CVM. A positive correlation was found with perceived ease of use and perceived usefulness of CVM. CONCLUSIONS: Understanding staff satisfaction and technology acceptance is imperative for nurse leaders and administration when implementing new technologies.


Subject(s)
Accidental Falls/prevention & control , Attitude of Health Personnel , Monitoring, Physiologic/nursing , Nursing Assistants/statistics & numerical data , Patient Safety/statistics & numerical data , Attitude to Computers , Humans , Inpatients/statistics & numerical data , Videotape Recording/methods
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