scholarly journals The Relationship Between Electronic Nursing Care Reminders and Missed Nursing Care

2014 ◽  
Vol 32 (10) ◽  
pp. 475-481 ◽  
Author(s):  
RONALD J. PISCOTTY ◽  
BEATRICE KALISCH
2021 ◽  
Author(s):  
Ilona Plevová ◽  
Renáta Zeleníková ◽  
Darja Jarošová ◽  
Eva Janíková

2021 ◽  
Vol 9 (2) ◽  
pp. 150
Author(s):  
Kuswantoro Rusca Putra ◽  
Fajar Mulia Dewi ◽  
Asih Devi Rahmayanti ◽  
Ani Budiati

Background: One of the nurse’s roles is to provide nursing care regards of patient safety, consistently and timely.  The availability of nurses and equipment can be considered as a primary constraint contributing to acute missed nursing care.Aims: This study aimed to determine the correlation between the availability of nurses and equipment with incidences of acute missed nursing care in medical and surgical wards at hospitals.Methods: This study used quantitative research with a cross sectional approach. This research was conducted at six private hospitals in Malang from October 2020 to November 2020. The population in this study were selected using consecutive sampling, and the study sample consisted of 206 nurses. The acute MISSCARE Survey was used to collect data. The relationship between the availability of the number of nurses and equipment with acute missed nursing care was analyzed by applying SPSS version 26 with the Spearman test.Results: The relationship between the availability of nurses and acute missed nursing care yielded results of ρ = 0.016 (<0.05) and R = -0.168. Equipment availability and acute missed nursing care had values of ρ = 0.026 (<0.05), and R = -0.155.  This shows correlation between the availability of the number of nurses and equipment with incidences of acute missed nursing care.Conclusion: The availability of the number of nurses and equipment are the reasons for the incidence of acute missed nursing care. Therefore, nursing managers are needed in managing and allocating the necessary number of nurses and equipment.Keywords: equipment, missed nursing care, nurse


Author(s):  
Tahereh Najafi Ghezeljeh ◽  
Samira Gharasoflo ◽  
Shima Haghani

Background & Aim: Missed nursing care can reduce nursing care quality by eliminating or delaying any aspect of the patient’s necessary nursing care. Teamwork has been a solution to improve the quality of care and safety of patients. The present study was conducted to determine the relationship between missed nursing care and emergency nurses’ teamwork in the educational-medical centers affiliated to Iran University of Medical Sciences in 2019. Methods & Materials: This cross-sectional study is predictive correlational in nature. It was conducted on 213 nurses working in the emergency department who were selected based on the census method from March 2018 to December 2019. The self-report data were collected using Nursing Teamwork Survey and Missed Nursing Care questionnaires. The data were analyzed through conducting ANOVA, t-test, Pearson correlation, and multiple regression analysis in SPSS version 16. Results: The mean score of missed nursing care in the emergency nurses was 2.25±0.65, and the nurses’ average teamwork was 3.53±0.55. There was a statistically significant yet inverse correlation between teamwork and missed nursing care (p<0.001) (r= -0.29). The determination coefficient of the multiple linear regression modeling was used to predict the missed nursing care based on the total teamwork score indicated that 14% of the missed nursing care was explained under the influence of independent variables. Conclusion: Due to the inverse relationship between teamwork and missed nursing care, it is necessary to design and plan training courses to further enhance the nurses’ ability to perform teamwork and collaborative work.


2019 ◽  
Vol 35 (S1) ◽  
pp. 11-12
Author(s):  
Paula Corabian ◽  
Charles Yan ◽  
Susan Armijo-Olivo ◽  
Bing Guo

IntroductionThe objectives of this study were to systematically review published research on the relationship between nursing staff coverage, care hours, and quality of care (QoC) in long-term care (LTC) facilities; and to conduct a real world evidence (RWE) analysis using Alberta real world data (RWD) to inform policy makers on whether any amendments could be made to current regulations.MethodsA systematic review (SR) of research evidence published between January 2000 and May 2018 on the relationship between nursing staff coverage, care hours, and QoC in LTC facilities was conducted. Panel data regressions using available RWD from Alberta, Canada, were performed to assess associations between nursing care hours and LTC outcomes. Outcomes of interest included quality indicators related to resident outcomes, hospital admissions, emergency room visits and family satisfaction. Nursing care hours considered in SR and RWE analysis included those provided by registered nurses (RNs) and licensed practical nurses (LPNs).ResultsThe SR found inconsistent and poor quality evidence relevant to the questions of interest, indicating a great uncertainty about the association between nursing staff time and type of coverage and QoC. Although some positive indications were suggested, major weaknesses of reviewed studies limited interpretation of SR results. RWE analysis found that impact of care hours on LTC outcomes was heterogeneous, dependent on outcome measurements. There was evidence that total staff, RN, and LPN hours had positive effects on some resident outcomes and magnitude of effect differed for different nursing staff.ConclusionsNo definitive conclusion could be drawn on whether changing nursing staff time or nursing staff coverage models would affect residents’ outcomes based on the research evidence gathered in the SR. RWE analysis helped to fill a gap in the available published literature and allowed policy makers to better understand the impact of revising current regulations based on actual outcomes.


Author(s):  
Darja Jarošová ◽  
Elena Gurková ◽  
Renáta Zeleníková ◽  
Ilona Plevová ◽  
Eva Janíková

Author(s):  
Panagiotis Kiekkas ◽  
Vasiliki Tsekoura ◽  
Fotini Fligou ◽  
Anastasios Tzenalis ◽  
Eleni Michalopoulos ◽  
...  

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