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Nurses, assuming a wide range of clinical and patient care responsibilities in a healthcare team, are highly susceptible to direct and indirect exposure to traumatic experiences. However, literature has shown that nurses with certain traits developed a new sense of personal strength in the face of adversity, known as post-traumatic growth (PTG). This review aimed to synthesize the best available evidence to evaluate personal and work-related factors associated with PTG among nurses.
Mixed studies systematic review.
Studies examining factors influencing PTG on certified nurses from all healthcare facilities were included. Published and unpublished studies were identified by searching 12 databases from their inception until 4th February 2023. Two reviewers independently screened, appraised, piloted a data collection form, and extracted relevant data. Meta-summary, meta-synthesis, meta-analysis, as well as subgroup and sensitivity analyses were performed. Integration of results followed result-based convergent design.
A total of 98 studies with 29,706 nurses from 18 countries were included. These included 49 quantitative, 42 qualitative, and seven mixed-methods studies. Forty-six influencing factors were meta-analyzed, whereas nine facilitating factors were meta-summarized. A PTG conceptual map was created. Four constructs emerged from the integration synthesis: (a) personal system, (b) work-related system, (c) event-related factors, and (d) cognitive transformation.
The review findings highlighted areas healthcare organizations could do to facilitate PTG in nurses. Practical implications include developing intervention programs based on PTG facilitators. Further research should examine the trend of PTG and its dynamic response to different nursing factors.
Research on trauma-focused therapies targeting nurses' mental health is lacking. Therefore, findings from this review could inform healthcare organizations on the PTG phenomenon and developing support measures for nurses through healthcare policies and clinical practice.
Populations are ageing, making the quality of old age a crucial issue. Some adversity in old age, such as loss of loved one or loss of physical function, is often experienced, as is the need for recovery from such adversity. Resilience in later life has become an important topic and has accumulated much empirical research. However, the research has mainly centred on individual factors, such as personality, rather than social factors, such as family relationships or community engagement. There is no systematic review of the social dimensions of resilience in old age, a focus that should be especially important for policy and practice seeking to create supporting environments.
Our review comprises quantitative and qualitative empirical original English language studies, published 2013–2023, using predefined search phrases including ‘resilience’ and various terms for old age and social dimensions. Titles and abstracts are screened by the first two authors using registered exclusion criteria. Final inclusion, based on full-text reading, is decided using registered inclusion criteria, and verified by co-authors. Qualitative articles are read by authors specialized in qualitative research and quantitative articles by authors specialized in quantitative research. Due to large expected heterogeneity, meta-analysis is not conducted, but weighted effect sizes or funnel plots may be prepared if parallel quantitative studies are encountered. Qualitative studies are synthesized using meta-aggregation. The risk of bias is evaluated with applicable Joanna Briggs Institute checklists for each study design. A narrative synthesis brings together the qualitative and quantitative studies.
Methodological strengths and weaknesses of the included studies are reported to assess the quality of the research. Summary of the most significant social dimensions of resilience in old age is prepared, emphasizing interactions between contexts, stressors, mechanisms and outcomes; and research gaps are identified.
Protocol is registered in PROSPERO (CRD42023412532).
The objective of this scoping review was to survey the literature on the use of AI/ML applications in analyzing inpatient EHR data to identify bundles of care (groupings of interventions). If evidence suggested AI/ML models could determine bundles, the review aimed to explore whether implementing these interventions as bundles reduced practice pattern variance and positively impacted patient care outcomes for inpatients with T2DM. Six databases were searched for articles published from January 1, 2000, to January 1, 2024. Nine studies met criteria and were summarized by aims, outcome measures, clinical or practice implications, AI/ML model types, study variables, and AI/ML model outcomes. A variety of AI/ML models were used. Multiple data sources were leveraged to train the models, resulting in varying impacts on practice patterns and outcomes. Studies included aims across 4 thematic areas to address: therapeutic patterns of care, analysis of treatment pathways and their constraints, dashboard development for clinical decision support, and medication optimization and prescription pattern mining. Multiple disparate data sources (i.e., prescription payment data) were leveraged outside of those traditionally available within EHR databases. Notably missing was the use of holistic multidisciplinary data (i.e., nursing and ancillary) to train AI/ML models. AI/ML can assist in identifying the appropriateness of specific interventions to manage diabetic care and support adherence to efficacious treatment pathways if the appropriate data are incorporated into AI/ML design. Additional data sources beyond the EHR are needed to provide more complete data to develop AI/ML models that effectively discern meaningful clinical patterns. Further study is needed to better address nursing care using AI/ML to support effective inpatient diabetes management. No abstract available To investigate the relationship between work readiness and work well-being for newly graduated nurses and the mediating role of emotional labor and psychological capital in this relationship.
A cross-sectional survey was conducted in mainland China. A total of 478 newly graduated nurses completed the Work Readiness Scale, Emotional Labour Scale, Psychological Capital Questionnaire, and Work Well-being Scale. Descriptive statistical methods, Pearson correlation analysis, and a structural equation model were used to analyze the available data.
Newly graduated nurses' work readiness was significantly positively correlated with work well-being (r = 0.21, p < 0.01), deep acting (r = 0.11, p < 0.05), and psychological capital (r = 0.18, p < 0.01). Emotional labor and psychological capital partially mediated the relationship between work readiness and work well-being. Additionally, emotional labor and psychological capital had a chain-mediating effect on the association.
Work readiness not only affects newly graduated nurses' work well-being directly but also indirectly through emotional labor and psychological capital. These results provide theoretical support and guidance for the study and improvement of newly graduated nurses' work well-being and emphasize the importance of intervention measures to improve work readiness and psychological capital and the adoption of deep-acting emotional-labor strategies.
As the awareness on violent deaths from guns, drugs, and suicides emerges as a public health crisis in the United States, attempts to prevent injury and mortality through nursing research are critical. The National Violent Death Reporting System provides public health surveillance of US violent deaths; however, understanding the National Violent Death Reporting System's research utility is limited. The purpose of our rapid review of the 2019-2023 literature was to understand to what extent artificial intelligence methods are being used with the National Violent Death Reporting System. We identified 16 National Violent Death Reporting System artificial intelligence studies, with more than half published after 2020. The text-rich content of National Violent Death Reporting System enabled researchers to center their artificial intelligence approaches mostly on natural language processing (50%) or natural language processing and machine learning (37%). Significant heterogeneity in approaches, techniques, and processes was noted across the studies, with critical methods information often lacking. The aims and focus of National Violent Death Reporting System studies were homogeneous and mostly examined suicide among nurses and older adults. Our findings suggested that artificial intelligence is a promising approach to the National Violent Death Reporting System data with significant untapped potential in its use. Artificial intelligence may prove to be a powerful tool enabling nursing scholars and practitioners to reduce the number of preventable, violent deaths. The last-minute cancellation of surgeries profoundly affects patients and their families. This research aimed to forecast these cancellations using EMR data and meteorological conditions at the time of the appointment, using a machine learning approach. We retrospectively gathered medical data from 13 440 pediatric patients slated for surgery from 2018 to 2021. Following data preprocessing, we utilized random forests, logistic regression, linear support vector machines, gradient boosting trees, and extreme gradient boosting trees to predict these abrupt cancellations. The efficacy of these models was assessed through performance metrics. The analysis revealed that key factors influencing last-minute cancellations included the impact of the coronavirus disease 2019 pandemic, average wind speed, average rainfall, preanesthetic assessments, and patient age. The extreme gradient boosting algorithm outperformed other models in predicting cancellations, boasting an area under the curve value of 0.923 and an accuracy of 0.841. This algorithm yielded superior sensitivity (0.840), precision (0.837), and F1 score (0.838) relative to the other models. These insights underscore the potential of machine learning, informed by EMRs and meteorological data, in forecasting last-minute surgical cancellations. The extreme gradient boosting algorithm holds promise for clinical deployment to curtail healthcare expenses and avert adverse patient-family experiences. New nurses must acquire accurate knowledge of medication administration, as it directly affects patient safety. This study aimed to develop a microlearning-based self-directed learning chatbot on medication administration for novice nurses. Furthermore, the study had the objective of evaluating the chatbot feasibility. The chatbot covered two main topics: medication administration processes and drug-specific management, along with 21 subtopics. Fifty-eight newly hired nurses on standby were asked to use the chatbot over a 2-week period. Moreover, we evaluated the chatbot's feasibility through a survey that gauged changes in their confidence in medication administration knowledge, intrinsic learning motivation, satisfaction with the chatbot's learning content, and usability. After using the chatbot, participants' confidence in medication administration knowledge significantly improved in all topics (P Patients with impaired kidney function and increased albuminuria are at risk of developing cardiovascular disease (CVD). Previous research has revealed that a substantial proportion of patients with chronic kidney disease (CKD) do not get a registered diagnosis in the electronic health record of the general practitioner. The aim of this study was to investigate the association between non-registration of CKD and all-cause mortality and cardiovascular outcome.
A retrospective study in primary care.
The analyses were carried out in the INTEGO database, a general practice-based morbidity registration network in Flanders, Belgium. The study used INTEGO data from the year 2018 for all patients ≥18 years old, including 10 551 patients. To assess the risk of mortality and CVD, a time-to-event analysis was performed. Cox proportional hazard model was used to evaluate the association between non-registration and incidence of all-cause mortality and cardiovascular events with mortality as a competing risk. Subgroup analyses were performed for estimated glomerular filtration rate stages (3A, 3B, 4 and 5). Multiple imputation was done following the methodology of Mamouris et al.
Mortality was higher in patients with non-registered CKD compared with patients with registered CKD (HR 1.29, 95% CI 1.19 to 1.41). Non-registration of CKD was not associated with an increased risk for the development of CVD (HR 0.92, 95% CI 0.77 to 1.11).
An association between non-registration and all-cause mortality was identified, although no such association was apparent for CVD.
A Community of Practice is briefly defined as a group of people with a shared interest in a given area of practice who work collaboratively to grow collective knowledge. Communities of Practice have been used to facilitate knowledge exchange and improve evidence-based practice. Knowledge translation within the residential aged care sector is lacking, with barriers such as inadequate staffing and knowledge gaps commonly cited. In Australia, a Federal inquiry into residential aged care practices led to a recommendation to embed pharmacists within residential aged care facilities. Onsite practice in aged care is a new role for pharmacists in Australia. Thus, support is needed to enable pharmacists to practice in this role.
The primary aim is to evaluate the processes and outcomes of a Community of Practice designed to support pharmacists to work in aged care.
A longitudinal, single-group, pretest–post-test design in which the intervention is a Community of Practice. The Community of Practice will be established and made available for 3 years to all Australian pharmacists interested in, new to or established in aged care roles. The Community of Practice will be hosted on online discussion platforms, with additional virtual meetings and annual symposia. The following data will be collected from all members of the Community of Practice: self-evaluation of the processes and outcomes of the Community of Practice (via the CoPeval scale) and confidence in evidence-based practice (EPIC scale), collected via online questionnaires annually; and discussion platform usage statistics and discussion transcripts. A subset of members will be invited to participate in annual semi-structured individual interviews.
Data from the online questionnaire will be analysed descriptively. Discussion transcripts will be analysed using topic modelling and content analysis to identify the common topics discussed and their frequencies. Qualitative data from individual interviews will be thematically analysed to explore perceptions and experiences with the intervention for information/knowledge exchange, impact on practice, and sharing/promoting/implementing evidence-based practice.
Human ethics approval has been granted by the University of Western Australia’s Human Ethics Committee (2023/ET000000). No personal information will be included in any publications and reports to funding bodies.
Findings will be disseminated to all members of the Community of Practice, professional organisations, social and mass media, peer-review journals, research and professional conferences and annual reports to the funding body.
More than 170 countries have implemented disability-targeted social protection programmes, although few have been rigorously evaluated. Consequently, a non-randomised controlled trial is being conducted of a pilot ‘cash-plus’ programme implemented by UNICEF Laos and the Laos government for children with disabilities in the Xiengkhouang Province in Laos. The intervention combines a regular cash transfer with provision of assistive devices and access for caregivers to a family support programme.
The non-randomised controlled trial will involve 350 children with disabilities across 3 districts identified by programme implementers as eligible for the programme (intervention arm). Implementers have also identified approximately 180 children with disabilities in neighbouring districts, who would otherwise meet eligibility criteria but do not live in the project areas (control arm). The trial will assess the impact of the programme on child well-being (primary outcome), as well as household poverty, caregiver quality of life and time use (secondary outcomes). Baseline data are being collected May–October 2023, with endline 24 months later. Analysis will be intention to treat. A complementary process evaluation will explore the implementation, acceptability of the programme, challenges and enablers to its delivery and mechanisms of impact.
The study has received ethical approval from the London School of Hygiene and Tropical Medicine and the National Ethics Committee for Health Research in Laos. Informed consent and assent will be taken by trained data collectors. Data will be collected and stored on a secure, encrypted server and its use will follow a detailed data management plan. Findings will be disseminated in academic journals and in short briefs for policy and programmatic actors, and in online and in-person events.
There was no evidence regarding the relationship between septic shock and tracheal injury scores. Investigate whether septic shock was independently associated with tracheal injury scores in intensive care unit (ICU) patients with invasive ventilation.
Prospective observational cohort study.
Our study was conducted in a Class III hospital in Hebei province, China.
Patients over 18 years of age admitted to the ICU between 31 May 2020 and 3 May 2022 with a tracheal tube and expected to be on the tube for more than 24 hours.
Tracheal injuries were evaluated by examining hyperaemia, ischaemia, ulcers and tracheal perforation by fiberoptic bronchoscope. Depending on the number of lesions, the lesions were further classified as moderate, severe or confluent.
Among the 97 selected participants, the average age was 56.6±16.5 years, with approximately 64.9% being men. The results of adjusted linear regression showed that septic shock was associated with tracheal injury scores (β: 2.99; 95% CI 0.70 to 5.29). Subgroup analysis revealed a stronger association with a duration of intubation ≥8 days (p=0.013).
Patients with septic shock exhibit significantly higher tracheal injury scores compared with those without septic shock, suggesting that septic shock may serve as an independent risk factor for tracheal injury.
ChiCTR2000037842, registered 03 September 2020. Retrospectively registered, https://www.chictr.org.cn/edit.aspx?pid=57011&htm=4.
Gastrointestinal hospitalisations in the USA cause over US$130 billion in expenditures, and acute pancreatitis is a leading cause of these hospitalisations. Adequate pain control is one of the primary treatment goals for acute pancreatitis. Though opioids are commonly used for analgesia in these patients, there have been concerns about short-term and long-term side effects of using opioids. Recently, non-opioid medications have been studied to treat pain in patients with acute pancreatitis. This systematic review and network meta-analysis aims to assess the comparative efficacy of analgesic medication for non-severe, acute pancreatitis.
We will search multiple electronic databases for randomised controlled trials that study pain management in patients with non-severe, acute pancreatitis. The intervention will be any analgesic for acute pancreatitis in the hospital setting. The comparison group will be patients who received a placebo or other active interventions for pain management. The primary outcomes of interest include pain scores and the need for supplementary analgesia. The secondary outcomes will be serious adverse events, local complications, progression to severe pancreatitis, transfer to the intensive care unit, length of hospitalisation, time to start enteral feeds, 30-day all-cause mortality and Quality of Life Scale scores. If sufficient homogeneity exists among included studies, the findings will be pooled using a traditional pairwise and network meta-analysis. The risk of bias in randomised control trials will be evaluated using the Cochrane Risk of Bias Tool 2.0. The Grading of Recommendations, Assessment, Development, and Evaluation approach will be used to report the certainty of evidence.
This systematic review will not involve direct contact with human subjects. The findings of this review will be published in a peer-reviewed journal. They will give healthcare providers a better awareness of the optimal analgesic medication for pain treatment in non-severe, acute pancreatitis.
In Canada, the Public Health Agency surveillance of new HIV cases has demonstrated annual increasing rates since 2020. The rates of new HIV cases are highest in the province of Saskatchewan.
The aim of the project was to conduct a resident-oriented realist evaluation of an innovative supportive housing programme, Sanctum, for people living with HIV/AIDS who also face social care issues, such as homelessness. This project took place in Saskatchewan, a province that is seeking innovative approaches to improve quality of life and HIV/AIDS management for its citizens. Our evaluation addressed how and why participants were successful (or not) within the Sanctum programme.
Sanctum is a housing programme located in an inner-city location within the province of Saskatchewan. A unique component of this evaluation was the inclusion of an individual with lived experience, a resident partner, as a member of the research team.
11 recent Sanctum graduates, seven men and four women, were recruited for client partner-led in-depth, semistructured interviews.
Prior to the evaluation, we developed a realist programme theory with potential causal explanations, known as context-mechanism-outcomes (CMO) configurations. Interview data from the evaluation and ongoing discussions with Sanctum board members and our resident partner were used to test, refine and validate the final programme theory and CMO configurations.
CMO configurations at the micro (individual), meso (interpersonal) and macro (community) levels complement the over-arching programme theory. Key findings were the importance of Sanctum’s harm reduction philosophy, accompanied by a non-judgmental and patient-oriented approach. Participants were supported to reduce risky behaviour, improve self-care management and develop healthier relationships within a ‘safe’ home-like setting. Underlying mechanisms that contributed to participants’ success in the programme included: intrinsic motivation, self-worth, belongingness, empowerment and self-efficacy. Evidence-informed recommendations are offered to support Sanctum-like programme development for individuals with holistic health needs related to HIV/AIDS diagnoses and lack of access to necessary social determinants of health.
Stigma associated with HIV/AIDS and living circumstances, such as homelessness, were successfully addressed using harm reduction principles and judgement-free approaches within a family-like environment.
FreshRSS 