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To explore the social context of violence for hospital-based and community nurses from different ethnic groups, the types of violence experienced or witnessed both in and outside the workplace, and its impact on mental and physical health.
Cross-sectional, qualitative study using semi-structured interviews.
Semi-structured interviews were conducted online with 12 hospital-based and community nurses recruited from London, England, between May and August 2021. Data were analysed using reflexive thematic analysis.
The sample comprised seven hospital nurses and five community nurses. Four themes were identified: (i) the social context in which nurses from different ethnic groups are exposed to community violence; (ii) types of workplace violence experienced or witnessed by hospital-based and community nurses from different ethnic groups; (iii) perceptions of the factors contributing to workplace violence; (iv) impacts of violence on mental and physical health outcomes. Using the social ecological framework and sociological theory of stress, these findings informed a conceptual stress process model of violence exposure for nurses.
Nurses from different ethnic groups are exposed to violence both in and outside the workplace which negatively affects their mental and physical health. Effective violence prevention requires a multi-factorial approach that addresses the social and institutional factors contributing to violence, shifting the focus from individual measures to systemic organisational changes.
The NHS workforce is currently more diverse than ever, and healthcare leaders must improve access to mental health and well-being resources for staff affected by workplace violence, particularly for those who hold multiple social identities at the intersection of ethnicity, gender and age. Prioritising this support is essential not only to safeguard against negative health outcomes but also to improve the recruitment and retention of healthcare professionals.
No patient or public contribution.
Commentary on: Russell JL, Chen HC, Jensen FB, Nichols ND. Nursing students' perceived attitudes toward addressing sexual health in their future profession: A longitudinal quantitative study. Nurse Educ Today. 2023 Nov;130:105953. doi: 10.1016/j.nedt.2023.105953. Epub 2023 Aug 25.
Nursing students have positive attitudes towards addressing sexual health in future practice and this should co-inside with educational opportunities to enable the development of competence and confidence. Further research is required to establish the learning gaps between educational opportunities available to nursing students and that of sexual health-related competence within nursing practice.
Sexual health can be defined as one’s physical, emotional, mental and social well-being.
The World Health Organization defines quality of care as providing effective, evidence-based care, and avoiding harm. Low-value care provides little or no benefit to the patient, causes harm, and wastes limited resources. In 2017, shortly after the start of the International Choosing Wisely campaign, the first Dutch nursing “Do-not-do” list was published and has become a widely used practical tool for nurses working in daily practice. However, over the last years new guidelines are published. Therefore, an update of the list is necessary with an addition of high-value care recommendations as alternative care practices for low-value care.
In this study, a combination of designs was used. First, we searched Dutch clinical practice guidelines for low-value or high-value care recommendations. All nursing care recommendations were assessed and specified to several healthcare sectors, including hospital care, district care, nursing home care, disability care, and mental health care. Second, a prioritization among nurses regarding low-value care recommendations was done by a cross-sectional survey for each healthcare sector.
In total, 66 low-value care recommendations were found, for example, “avoid unnecessary layers under the patient at risk of pressure ulcers” and “never flush the bladder to prevent urinary tract infection.” Furthermore, 414 high-value care recommendations were selected, such as “use the Barthel Index to assess and to evaluate the degree of ADL independence” and “application of cold therapy may be considered for oncological patients with pain.” In total, 539 nurses from all healthcare sectors prioritized the low-value care recommendations, resulting in a top five low-value care practices per healthcare sector. The top five low-value care recommendations differed per healthcare sector, although “do not use physical restraints in case of a delirium” was prioritized by four out of five sectors.
Assessing low-value and high-value care recommendations for nurses will help and inspire nurses to deliver fundamental care for their patients. These initiatives regarding low-value and high-value care are essential to generate a culture of continuous quality improvement based on evidence. This is also essential to meeting the current challenges of the healthcare delivery system.
This paper provides an update of low-value care recommendations for nurses based on Dutch guidelines from 2017 to 2023, specified to five healthcare sectors, including hospital care, district care, nursing home care, disability care and mental health care, with an accompanying prioritization of these low-value care recommendations to facilitate de-implementation. This paper provides a first overview of high-value care recommendations to reflect on and create alternative care practices for low-value care. The recommendations regarding low-value and high-value care are essential to generate a culture of continuous improvement of appropriateness based on evidence, finally leading to better quality of care and improving patient outcomes.
Common goals for procedural sedation are to control pain and ensure the patient is not moving to an extent that is impeding safe progress or completion of the procedure. Clinicians perform regular assessments of the adequacy of procedural sedation in accordance with these goals to inform their decision-making around sedation titration and also for documentation of the care provided. Natural language processing could be applied to real-time transcriptions of audio recordings made during procedures in order to classify sedation states that involve movement and pain, which could then be integrated into clinical documentation systems. The aim of this study was to determine whether natural language processing algorithms will work with sufficient accuracy to detect sedation states during procedural sedation.
A prospective observational study was conducted.
Audio recordings from consenting participants undergoing elective procedures performed in the interventional radiology suite at a large academic hospital were transcribed using an automated speech recognition model. Sentences of transcribed text were used to train and evaluate several different NLP pipelines for a text classification task. The NLP pipelines we evaluated included a simple Bag-of-Words (BOW) model, an ensemble architecture combining a linear BOW model and a “token-to-vector” (Tok2Vec) component, and a transformer-based architecture using the RoBERTa pre-trained model.
A total of 15,936 sentences from transcriptions of 82 procedures was included in the analysis. The RoBERTa model achieved the highest performance among the three models with an area under the ROC curve (AUC-ROC) of 0.97, an F1 score of 0.87, a precision of 0.86, and a recall of 0.89. The Ensemble model showed a similarly high AUC-ROC of 0.96, but lower F1 score of 0.79, precision of 0.83, and recall of 0.77. The BOW approach achieved an AUC-ROC of 0.97 and the F1 score was 0.7, precision was 0.83 and recall was 0.66.
The transformer-based architecture using the RoBERTa pre-trained model achieved the best classification performance. Further research is required to confirm the that this natural language processing pipeline can accurately perform text classifications with real-time audio data to allow for automated sedation state assessments.
Automating sedation state assessments using natural language processing pipelines would allow for more timely documentation of the care received by sedated patients, and, at the same time, decrease documentation burden for clinicians. Downstream applications can also be generated from the classifications, including for example real-time visualizations of sedation state, which may facilitate improved communication of the adequacy of the sedation between clinicians, who may be performing supervision remotely. Also, accumulation of sedation state assessments from multiple procedures may reveal insights into the efficacy of particular sedative medications or identify procedures where the current approach for sedation and analgesia is not optimal (i.e. a significant amount of time spent in “pain” or “movement” sedation states).
Paramount to patient safety is the ability for nurses to make clinical decisions free from human error. Yet, the dynamic clinical environment in which nurses work is characterized by uncertainty, urgency, and high consequence, necessitating that nurses make quick and critical decisions. The aim of this study was to examine the influence of human and environmental factors on the decision to administer among new graduate nurses in response to alert generation during bar code–assisted medication administration. The design for this study was a descriptive, longitudinal, observational cohort design using EHR audit log and administrative data. The study was set at a large, urban medical center in the United States and included 132 new graduate nurses who worked on adult, inpatient units. Research variables included human and environmental factors. Data analysis included descriptive and inferential analyses. This study found that participants continued with administration of a medication in 90.75% of alert encounters. When considering the response to an alert, residency cohort, alert category, and previous exposure variables were associated with the decision to proceed with administration. It is important to continue to study factors that influence nurses' decision-making, particularly during the process of medication administration, to improve patient safety and outcomes. The aim of this study was to describe medication administration and alert patterns among a cohort of new graduate nurses over the first year of practice. Medical errors related to clinical decision-making, including medication administration errors, may occur more frequently among new graduate nurses. To better understand nursing workflow and documentation workload in today's clinical environment, it is important to understand patterns of medication administration and alert generation during barcode-assisted medication administration. Study objectives were addressed through a descriptive, longitudinal, observational cohort design using secondary data analysis. Set in a large, urban medical center in the United States, the study sample included 132 new graduate nurses who worked on adult, inpatient units and administered medication using barcode-assisted medication administration. Data were collected through electronic health record and administration sources. New graduate nurses in the sample experienced a total of 587 879 alert and medication administration encounters, administering 772 unique medications to 17 388 unique patients. Nurses experienced an average medication workload of 28.09 medications per shift, 3.98% of which were associated with alerts, over their first year of practice. In addition to high volume of medication administration, new graduate nurses administer many different types of medications and are exposed to numerous alerts while using barcode-assisted medication administration. To explore challenges in everyday life for people with long-term cognitive effects of COVID-19 and whether a rehabilitation programme contributed to the remedy thereof.
Healthcare systems around the world need knowledge about acute COVID-19 treatment, long-term effects exerting an impact on peoples' everyday lives, and how to remedy these.
This is a qualitative study with a phenomenological approach.
Twelve people with long-term cognitive effects of COVID-19 participated in a multidisciplinary rehabilitation programme. Individual semi-structured interviews were made. Data were analysed thematically.
Three themes and eight sub-themes emerged with respect to everyday life challenges and experiences of the rehabilitation programme. The themes were (1) Personal insight and knowledge, (2) Changed daily routines at home and (3) Coping with working life.
Participants experienced long-term effects of COVID-19 as cognitive challenges, fatigue and headaches, which affected their everyday lives, that is inability to overcome daily tasks at home and at work, maintaining family roles and relations with relatives. The rehabilitation programme contributed to a vocabulary and insights related to the long-term effects of COVID-19 and the experience of being a different person. The programme contributed to changes in daily routines, organising breaks in everyday life and explaining challenges to family/relatives and the way in which they affected daily routines and their role in the family. In addition, the programme supported several of the participants in finding the right workload and working hours.
We recommend multidisciplinary rehabilitation programmes inspired by cognitive remediation of long-term COVID-19 cognitive effects. Municipalities and organisations could collaborate in the development and completion of such programmes, possibly comprising both virtual and physical elements. This could facilitate access and reduce costs.
Patients contributed to the conduct of the study by participating in the data collection via interviews.
Data collection and processing of data are approved by the Region of Southern Denmark (journal number: 20/46585).
To determine the incidence of pressure injuries from medical devices in children.
Medical devices can cause pressure injuries on skin and soft tissues.
A prospective, descriptive study adhering to STROBE guidelines.
This study was conducted in the third-level Paediatric Intensive Care Unit of Ege University Hospital in İzmir, Türkiye between April 2019 and October 2019 in Türkiye. Patients aged between 1 month and 18 years with medical devices were observed for pressure injuries using Braden scales and a specific monitoring form.
In this study, we followed 522 medical devices applied to 96 patients. The three most commonly used medical devices were the ECG probe (21%), the blood pressure cuff (16%) and the saturation probe. Out of the 522 medical devices followed, 36 caused pressure injuries (6.8%).
The incidence of medical device-related pressure injuries was found to be high. Effective training and implementation strategies need to be devised for paediatric nurses to prevent pressure injuries associated with medical devices.
The results of this study reveal that pressure injuries related to medical devices are an important health problem in paediatric hospitals. Therefore, awareness-raising and educational activities among health professionals and nurses should be accelerated.
No patient or public contribution in the study.
To explore and summarise the literature on the concept of ‘clinical deterioration’ as a nurse-sensitive indicator of quality of care in the out-of-hospital context.
The scoping review adhered to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses Extension for Scoping Review and the JBI best practice guidelines for scoping reviews.
Studies focusing on clinical deterioration, errors of omission, nurse sensitive indicators and the quality of nursing and midwifery care for all categories of registered, enrolled, or licensed practice nurses and midwives in the out-of-hospital context were included regardless of methodology. Text and opinion papers were also considered. Study protocols were excluded.
Data bases were searched from inception to June 2022 and included CINAHL, PsychINFO, MEDLINE, The Allied and Complementary Medicine Database, EmCare, Maternity and Infant Care Database, Australian Indigenous HealthInfoNet, Informit Health and Society Database, JSTOR, Nursing and Allied Health Database, RURAL, Cochrane Library and Joanna Briggs Institute.
Thirty-four studies were included. Workloads, education and training opportunities, access to technology, home visits, clinical assessments and use of screening tools or guidelines impacted the ability to recognise, relay information and respond to clinical deterioration in the out-of-hospital setting.
Little is known about the work of nurses or midwives in out-of-hospital settings and their recognition, reaction to and relay of information about patient deterioration. The complex and subtle nature of non-acute deterioration creates challenges in defining and subsequently evaluating the role and impact of nurses in these settings.
Further research is needed to clarify outcome measures and nurse contribution to the care of the deteriorating patient in the out-of-hospital setting to reduce the rate of avoidable hospitalisation and articulate the contribution of nurses and midwives to patient care.
Factors that impact a nurse's ability to recognise, relay information and respond to clinical deterioration in the out-of-hospital setting are not examined to date.
A range of factors were identified that impacted a nurse's ability to recognise, relay information and respond to clinical deterioration in the out-of-hospital setting including workloads, education and training opportunities, access to technology, home visits, clinical assessments, use of screening tools or guidelines, and avoidable hospitalisation.
Where and on whom will the research have an impact?
Nurses and nursing management will benefit from understanding the factors that act as barriers and facilitators for effective recognition of, and responding to, a deteriorating patient in the out-of-hospital setting. This in turn will impact patient survival and satisfaction.
The Preferred Reporting Items for Systematic Reviews and Meta-Analyses Extension for Scoping Review guidelines guided this review. The PRISMA-Scr Checklist (Tricco et al., 2018) is included as (supplementary file 1).Data sharing is not applicable to this article as no new data were created or analysed in this study.”
Not required as the Scoping Review used publicly available information.
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