Conectar
by Nico Tannemann, Raimund Erbel, Markus M. Nöthen, Karl-Heinz Jöckel, Sonali Pechlivanis
Short telomeres are associated with cardiovascular disease (CVD). We aimed to investigate, if genetically determined telomere-length effects CVD-risk in the Heinz-Nixdorf-Recall study (HNRS) population. We selected 14 single-nucleotide polymorphisms (SNPs) associated with telomere-length (p−8) from the literature and after exclusion 9 SNPs were included in the analyses. Additionally, a genetic risk score (GRS) using these 9 SNPs was calculated. Incident CVD was defined as fatal and non-fatal myocardial infarction, stroke, and coronary death. We included 3874 HNRS participants with available genetic data and had no known history of CVD at baseline. Cox proportional-hazards regression was used to test the association between the SNPs/GRS and incident CVD-risk adjusting for common CVD risk-factors. The analyses were further stratified by CVD risk-factors. During follow-up (12.1±4.31 years), 466 participants experienced CVD-events. No association between SNPs/GRS and CVD was observed in the adjusted analyses. However, the GRS, rs10936599, rs2487999 and rs8105767 increase the CVD-risk in current smoker. Few SNPs (rs10936599, rs2487999, and rs7675998) showed an increased CVD-risk, whereas rs10936599, rs677228 and rs4387287 a decreased CVD-risk, in further strata. The results of our study suggest different effects of SNPs/GRS on CVD-risk depending on the CVD risk-factor strata, highlighting the importance of stratified analyses in CVD risk-factors.by Souma Suzuki, Susumu Suzuki, Yuri Sato-Nagaoka, Chisaki Ito, Shinichiro Takahashi
Differentiation therapy using all-trans retinoic acid (ATRA) for acute promyelocytic leukemia (APL) is well established. However, because the narrow application and tolerance development of ATRA need to be improved, we searched for another efficient myeloid differentiation inducer. Kinase activation is involved in leukemia biology and differentiation block. To identify novel myeloid differentiation inducers, we used a Kinase Inhibitor Screening Library. Using a nitroblue tetrazolium dye reduction assay and real-time quantitative PCR using NB4 APL cells, we revealed that, PD169316, SB203580, SB202190 (p38 MAPK inhibitor), and triciribine (TCN) (Akt inhibitor) potently increased the expression of CD11b. We focused on TCN because it was reported to be well tolerated by patients with advanced hematological malignancies. Nuclear/cytoplasmic (N/C) ratio was significantly decreased, and myelomonocytic markers (CD11b and CD11c) were potently induced by TCN in both NB4 and acute myeloid leukemia (AML) M2 derived HL-60 cells. Western blot analysis using NB4 cells demonstrated that TCN promoted ERK1/2 phosphorylation, whereas p38 MAPK phosphorylation was not affected, suggesting that activation of the ERK pathway is involved in TCN-induced differentiation. We further examined that whether ATRA may affect phosphorylation of ERK and p38, and found that there was no obvious effect, suggesting that ATRA induced differentiation is different from TCN effect. To reveal the molecular mechanisms involved in TCN-induced differentiation, we performed microarray analysis. Pathway analysis using DAVID software indicated that “hematopoietic cell lineage” and “cytokine-cytokine receptor interaction” pathways were enriched with high significance. Real-time PCR analysis demonstrated that components of these pathways including IL1β, CD3D, IL5RA, ITGA6, CD44, ITGA2B, CD37, CD9, CSF2RA, and IL3RA, were upregulated by TCN-induced differentiation. Collectively, we identified TCN as a novel myeloid cell differentiation inducer, and trials of TCN for APL and non-APL leukemia are worthy of exploration in the future.by Fatou Ndiaye, Abdoulaye Diop, Joseph Chabi, Katherine Sturm-Ramirez, Massila Senghor, El Hadji Diouf, Badara Samb, Seynabou Mocote Diedhiou, Omar Thiaw, Sarah Zohdy, Ellen Dotson, Doudou Sene, Mame Birame Diouf, Valerie Koscelnik, Lilia Gerberg, Abdoulaye Bangoura, Tiffany Clark, Ousmane Faye, Ibrahima Dia, Lassana Konate, El Hadji Amadou Niang
Urban malaria has become a challenge for most African countries due to urbanization, with increasing population sizes, overcrowding, and movement into cities from rural localities. The rapid expansion of cities with inappropriate water drainage systems, abundance of water storage habitats, coupled with recurrent flooding represents a concern for water-associated vector borne diseases, including malaria. This situation could threaten progress made towards malaria elimination in sub-Saharan countries, including Senegal, where urban malaria has presented as a threat to national elimination gains. To assess drivers of urban malaria in Senegal, a 5-month study was carried out from August to December 2019 in three major urban areas and hotspots for malaria incidence (Diourbel, Touba, and Kaolack) including the rainy season (August-October) and partly dry season (November–December). The aim was to characterize malaria vector larval habitats, vector dynamics across both seasons, and to identify the primary eco- environmental entomological factors contributing to observed urban malaria transmission. A total of 145 Anopheles larval habitats were found, mapped, and monitored monthly. This included 32 in Diourbel, 83 in Touba, and 30 in Kaolack. The number of larval habitats fluctuated seasonally, with a decrease during the dry season. In Diourbel, 22 of the 32 monitored larval habitats (68.75%) were dried out by December and considered temporary, while the remaining 10 (31.25%) were classified as permanent. In the city of Touba 28 (33.73%) were temporary habitats, and of those 57%, 71% and 100% dried up respectively by October, November, and December. However, 55 (66.27%) habitats were permanent water storage basins which persisted throughout the study. In Kaolack, 12 (40%) permanent and 18 (60%) temporary Anopheles larval habitats were found and monitored during the study. Three malaria vectors (An. arabiensis, An. pharoensis and An. funestus s.l.) were found across the surveyed larval habitats, and An. arabiensis was found in all three cities and was the only species found in the city of Diourbel, while An. arabiensis, An. pharoensis, and An. funestus s.l. were detected in the cities of Touba and Kaolack. The spatiotemporal observations of immature malaria vectors in Senegal provide evidence of permanent productive malaria vector larval habitats year-round in three major urban centers in Senegal, which may be driving high urban malaria incidence. This study aimed to assess the presence and type of anopheline larvae habitats in urban areas. The preliminary data will better inform subsequent detailed additional studies and seasonally appropriate, cost-effective, and sustainable larval source management (LSM) strategies by the National Malaria Control Programme (NMCP).by Siting Chen, Corey L. Nagel, Ruotong Liu, Anda Botoseneanu, Heather G. Allore, Jason T. Newsom, Stephen Thielke, Jeffrey Kaye, Ana R. Quiñones
IntroductionMultimorbidity may confer higher risk for cognitive decline than any single constituent disease. This study aims to identify distinct trajectories of cognitive impairment probability among middle-aged and older adults, and to assess the effect of changes in mental-somatic multimorbidity on these distinct trajectories.
MethodsData from the Health and Retirement Study (1998–2016) were employed to estimate group-based trajectory models identifying distinct trajectories of cognitive impairment probability. Four time-varying mental-somatic multimorbidity combinations (somatic, stroke, depressive, stroke and depressive) were examined for their association with observed trajectories of cognitive impairment probability with age. Multinomial logistic regression analysis was conducted to quantify the association of sociodemographic and health-related factors with trajectory group membership.
ResultsRespondents (N = 20,070) had a mean age of 61.0 years (SD = 8.7) at baseline. Three distinct cognitive trajectories were identified using group-based trajectory modelling: (1) Low risk with late-life increase (62.6%), (2) Low initial risk with rapid increase (25.7%), and (3) High risk (11.7%). For adults following along Low risk with late-life increase, the odds of cognitive impairment for stroke and depressive multimorbidity (OR:3.92, 95%CI:2.91,5.28) were nearly two times higher than either stroke multimorbidity (OR:2.06, 95%CI:1.75,2.43) or depressive multimorbidity (OR:2.03, 95%CI:1.71,2.41). The odds of cognitive impairment for stroke and depressive multimorbidity in Low initial risk with rapid increase or High risk (OR:4.31, 95%CI:3.50,5.31; OR:3.43, 95%CI:2.07,5.66, respectively) were moderately higher than stroke multimorbidity (OR:2.71, 95%CI:2.35, 3.13; OR: 3.23, 95%CI:2.16, 4.81, respectively). In the multinomial logistic regression model, non-Hispanic Black and Hispanic respondents had higher odds of being in Low initial risk with rapid increase and High risk relative to non-Hispanic White adults.
ConclusionsThese findings show that depressive and stroke multimorbidity combinations have the greatest association with rapid cognitive declines and their prevention may postpone these declines, especially in socially disadvantaged and minoritized groups.
by Junning Chen, Marta Aido, Andreas Roschger, Alexander van Tol, Sara Checa, Bettina M. Willie, Richard Weinkamer
Osteocyte lacuno-canalicular network (LCN) is comprised of micrometre-sized pores and submicrometric wide channels in bone. Accumulating evidence suggests multiple functions of this network in material transportation, mechanobiological signalling, mineral homeostasis and bone remodelling. Combining rhodamine staining and confocal laser scanning microscopy, the longitudinal cross-sections of six mouse tibiae were imaged, and the connectome of the network was quantified with a focus on the spatial heterogeneities of network density, connectivity and length of canaliculi. In-vivo loading and double calcein labelling on these tibiae allowed differentiating the newly formed bone from the pre-existing regions. The canalicular density of the murine cortical bone varied between 0.174 and 0.243 μm/μm3, and therefore is three times larger than the corresponding value for human femoral midshaft osteons. The spatial heterogeneity of the network was found distinctly more pronounced across the cortex than along the cortex. We found that in regions with a dense network, the LCN conserves its largely tree-like character, but increases the density by including shorter canaliculi. The current study on healthy mice should serve as a motivating starting point to study the connectome of genetically modified mice, including models of bone diseases and of reduced mechanoresponse.To describe the process of breastfeeding relationships among stay-at-home mother and infant dyads at 1, 3, 5 and 6 months.
A longitudinal qualitative online survey design was used.
Data were obtained at 1, 3, 5 and 6 months from 26 breastfeeding mothers who stayed home with their infants and directly breastfed at least once a day for the first 6 months between June 2022 and August 2023. Mothers' written responses to 3 open-ended questions were analysed to assess breastfeeding experiences at home, thoughts/comments while directly breastfeeding and breastfeeding concerns/problems and strategies they used. Based on grounded theory, inductive content analysis was used to analyse the data. Trustworthiness of results was established by coding to consensus, formal peer debriefing and maintaining an audit trail.
‘Breastfeeding Relationships at Home,’ the core construct, was identified and organized the process of breastfeeding relationships into 5 domains: (1) mothers' emotional well-being while breastfeeding, (2) infant-led feeding, (3) alternatives to breastfeeding, (4) evaluation of breastfeeding and (5) changes in breastfeeding as infants grow older.
Breastfeeding is not simply about feeding breast milk but also involves nurturing and developing a relationship between mother and infant. Across the domains, mutual responsiveness, a central element of the breastfeeding relationship was clear. Mothers who were committed to breastfeeding with embedded infant suckling reached emotional well-being in return for their engagement which has potential to reduce maternal stress and prevent postpartum depression.
Findings from the current study add to nurses' knowledge about the relationship building process between stay-at-home mothers and their infants in the first 6 months of breastfeeding during the COVID-19 pandemic. Nurses must remain sensitive to aid the development of breastfeeding relationships in the home environment to maximize mutual responsiveness.
No patients or public involved.
To explore what Internet-based breastfeeding peer support offers to breastfeeding parents.
Integrative review.
A systematic literature search was conducted in March 2024 using the following electronic databases: CINAHL, The Cochrane Library, PubMed/MEDLINE and PsycINFO. Database searches yielded 717 results. Two researchers removed the duplicates (n = 256) and screened the remaining titles (n = 461), abstracts (n = 197) and full texts (n = 60) independently. Eventually, 19 studies were included in the review. The chosen studies had qualitative (n = 11), quantitative (n = 6), or mixed methods designs (n = 2) and were published between 2015 and 2024. Qualitative content analysis was conducted.
The main categories were supplying support that is responsive to the needs of parents and belonging to a breastfeeding community. The parents looked for and received breastfeeding support, advice, information, emotional support, reassurance and access to shared experiences from various online breastfeeding peer support groups. The support groups helped them in their breastfeeding decisions, thus making a difference in their breastfeeding experience. The support groups created breastfeeding communities for these parents and they were able to bond with others, feel like they belonged and share experiences. Additionally, these breastfeeding communities helped to normalize various breastfeeding practices.
Breastfeeding peer support groups can offer parents the support and guidance they seek and a sense that they are part of a breastfeeding community. However, it is vital these groups are efficiently moderated to ensure the advice parents receive is evidence-based and the support is encouraging.
These findings show that well-moderated online breastfeeding peer support can offer parents high-quality support. It is essential for health care professionals to be aware of the various options available in order to recommend high-quality support groups for breastfeeding parents.
PRISMA.
This was an integrative review therefore no patient or public contribution was necessary.
The purpose of the study was to describe social and healthcare educators' evidence-based healthcare competence and explore the associated factors.
A descriptive, cross-sectional study was carried out.
The research spanned 5 universities, 19 universities of applied sciences, and 10 vocational colleges in Finland from September to December 2022. Social and healthcare educators (n = 256), of which 21 worked at universities, 176 worked at universities of applied sciences, and 49 worked at vocational colleges. Data collection employed a self-assessed instrument that was designed to measure evidence-based healthcare competence based on the JBI Model of Evidence-based Healthcare. Competence profiles were formed using K-cluster grouping analysis.
The educators' self-evaluations of their level of evidence-based healthcare competence were generally at a satisfactory level, with subsequent analyses identifying four distinct profiles of evidence-based healthcare competence. The profiles demonstrated statistically significant differences in terms of evidence synthesis and evidence transfer competencies. The factors associated with evidence-based healthcare competence included level of education, the year in which a professional had obtained their highest degree, current organization of employment, and participation in continuing education.
Educators require various types of support for developing high levels of evidence-based healthcare competence. The identification of distinct competence profiles can be pivotal to providing educators with training that is tailored to their exact needs to provide an individualized learning path.
Educators value the role of evidence in teaching, which reinforces the need to integrate aspects of the JBI Model of evidence-based healthcare into educators' competencies. Aspects of the JBI Model of evidence-based healthcare have not been holistically measured, with only certain components of the model considered separately. Educators need to better understand the global healthcare environment so they can identify research gaps and subsequently develop healthcare systems through their educational role. Higher academic education, work experience, organizational support, and continuous education play essential roles in the development of educators' evidence-based healthcare competence.
Educators generally have high levels of competence in evidence-based healthcare. Educators have mastered the different components of the JBI model of evidence-based healthcare but need to improve in areas such as the transfer and implementation of evidence.
Determining evidence-based healthcare competence profiles for educators can be used to provide individualized learning paths for the development of evidence-based healthcare competence. Educators need to further develop their competence in evidence-based healthcare to ensure successful implementation and high-quality education in the future.
No patient or public contribution.
Whereas voice behaviour has been identified as a key precursor to safe and high-quality patient care, little is known about how voice relates to key workforce outcomes. This study aimed to investigate the relationships between certified nursing assistants' perceived promotive voice behaviour (speaking up with suggestions for future improvement) and prohibitive voice behaviour (speaking up about problems or potentially harmful situations) and their self-reported levels of job satisfaction, work engagement and turnover intentions.
Dutch certified nursing assistants were recruited for a two-wave survey study through non-random convenience sampling. The final sample contained 152 respondents. The data were analysed using multiple linear regression analyses. In all analyses, the dependent variable at time one was controlled for.
Certified nursing assistants' promotive and prohibitive voice behaviour at time one were found to be positively related to their level of job satisfaction at time two while controlling for job satisfaction at time one. No relationships with work engagement or occupational turnover intentions were found.
While previous research has found positive effects of voice on patient safety outcomes and team and organizational improvements in care organizations, we demonstrate that voice is also related to a key workforce outcome, that is, certified nursing assistants' job satisfaction.
Recognizing the interplay between voice behaviour and job satisfaction underscores the importance of creating work environments where certified nursing assistants feel able and willing to make their voices heard—with ideas and suggestions, as well as information regarding problems and concerns.
Three certified nursing assistants have contributed to the development of the survey.
To compare student nurses' expectations and newly qualified nurses' experiences regarding clinical practice in Switzerland 1 year after graduation.
A secondary explorative analysis of a cross-sectional survey.
The data were sourced from the Swiss National Graduate Survey of Health Professionals covering six universities of applied sciences between 2016 and 2019, with information on three cohorts of bachelor student nurses, with a 1-year follow-up between each year. The participants were 533 bachelor-prepared nursing graduates.
The student nurses' overall expectations included the following top two prioritized aspects: ‘contributing to something important’ and ‘adequate time to spend with patients’. Newly graduated nurses' clinical practice experiences demonstrated that not all expectations were met 1 year after graduation. The largest gaps were found in ‘adequate time to spend with patients’, ‘work–life balance’ and experiencing ‘good management’.
The most crucial expectation gaps are related to having sufficient time to spend with patients and a good work–life balance. The most important result is whether there is a shortage of places for nurses to work rather than the oft-cited shortage of nurses.
The expectations of Swiss newly qualified nurses can be better met by an assessment in the first year about which individual perceptions of workplace characteristics cause them to make choices to change something about their work, affect their job satisfaction or influence their intention to stay.
Few of the student nurses' expectations were met 1 year after graduation, therefore Swiss healthcare institutions should improve needs assessments to strengthen the nurse workforce starting early in employment. The results underscore the importance of a constructive management culture, such as that in magnet hospitals in the United States which underpins the philosophy of changing in nursing. The results can be used internationally as a benchmark and as a basis for introducing potential interventions for nurse retention.
This study was reported following the Standardized Reporting of Secondary Data Analyses Checklist.
There were no patient or public contributions.
This study has not been registered.
To analyse whether the harmful effect of job demands on recovery can be alleviated by healthy lifestyle, psychological recovery experiences and job resources. We also describe their prevalence among employees in different types of eldercare service and in the health and social services sector in general.
Cross-sectional study.
The data were collected using a self-report survey in 2020 in the health and social services sector organizations (n = 4478). Employees were classified as the following service types: general health and social services (N = 3225), home care (N = 452), service housing (N = 550) and outpatient and ward care (N = 202). The data were analysed using percentages, cross-tabulations and logistic regression analysis.
Poor recovery, high job demands, low appreciation and low autonomy in terms of worktime and breaks were more prevalent in eldercare. Employers could alleviate the risk of high job demands by offering job resources—appreciation, autonomy in terms of worktimes and breaks—and motivating employees to maintain healthy lifestyle habits and use recovery experiences such as relaxation.
The study emphasizes the importance of appreciation in the health and social services sector context. Even with moderate levels of appreciation employers can protect employees from poor recovery from work in the demanding health and social services work environment.
Eldercare employees face continuous and accumulating work strain at the same time as the sector struggles against a labour shortage. One way to prevent the harmful consequences of strain is to enhance recovery from work.
Employers could alleviate the risk of high job demands and poor recovery by showing appreciation and giving employees more autonomy in terms of work time and breaks during the workday. This could also motivate employees to keep up healthy lifestyle habits and use their recovery experiences. Results are important especially in the daily management of HSS work.
Managers in the health and social services sector and eldercare can use these findings to promote recovery from work.
STROBE checklist.
No patient or public contribution.
This study aims to investigate the epidemiological characteristics of COVID-19 infection among healthcare workers, including the severity, duration of infection, post-infection symptoms and related influencing factors.
A self-administered questionnaire was utilized to assess the post-infection status of primary healthcare workers in Jiangsu Province. The questionnaire collected information on demographic characteristics, lifestyle habits, post-infection clinical manifestations, work environment and recovery time of the respondents. Customized outcome events were selected as dependent variables and logistic regression models were employed to analyse the risk factors. Phi-coefficient was used to describe the relationship between post-infection symptoms.
The analysis revealed that several factors, such as female, older age, obesity, previous medical history, exposure to high-risk environments and stress, were associated with a higher likelihood of experiencing more severe outcomes. On the other hand, vaccination and regular exercise were found to contribute to an earlier resolution of the infection. Among the post-infection symptoms, cough, malaise and muscle aches were the most frequently reported. Overall, there was a weak association among symptoms persisting beyond 14 days, with only cough and malaise, malaise and dizziness and headache showing a stronger correlation.
The study findings indicate that the overall severity of the first wave of infection, following the complete lifting of restrictions in China, was low. The impact on primary healthcare workers was limited, and the post-infection symptoms exhibited similarity to those observed in other countries. It is important to highlight that these conclusions are specifically relevant to the population infected with the Omicron variant.
This study helps to grasp the impacts of the first wave of COVID-19 infections on healthcare workers in China after the national lockdown was lifted.
Primary healthcare workers in Jiangsu Province, including doctors, nurses, pharmacists and other personnel from primary healthcare units such as community health service centres and health centres.
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.
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. We are in a booming era of artificial intelligence, particularly with the increased availability of technologies that can help generate content, such as ChatGPT. Healthcare institutions are discussing or have started utilizing these innovative technologies within their workflow. Major electronic health record vendors have begun to leverage large language models to process and analyze vast amounts of clinical natural language text, performing a wide range of tasks in healthcare settings to help alleviate clinicians' burden. Although such technologies can be helpful in applications such as patient education, drafting responses to patient questions and emails, medical record summarization, and medical research facilitation, there are concerns about the tools' readiness for use within the healthcare domain and acceptance by the current workforce. The goal of this article is to provide nurses with an understanding of the currently available foundation models and artificial intelligence tools, enabling them to evaluate the need for such tools and assess how they can impact current clinical practice. This will help nurses efficiently assess, implement, and evaluate these tools to ensure these technologies are ethically and effectively integrated into healthcare systems, while also rigorously monitoring their performance and impact on patient care. To assess the level of mental workload (MWL) of intensive care unit (ICU) nurses in performing different human-machine tasks and examine the predictors of the MWL.
A cross-sectional questionnaire study.
Between January and February 2021, data were collected from ICU nurses (n = 427) at nine tertiary hospitals selected from five (east, west, south, north, central) regions in China through an electronic questionnaire, including sociodemographic questions, the National Aeronautics and Space Administration Task Load Index, General Self-Efficacy Scale, Difficulty-assessing Index System of Nursing Operation Technique, and System Usability Scale. Descriptive statistics, t-tests, one-way ANOVA and multiple linear regression models were used.
ICU nurses experienced a medium level of MWL (score 52.04 on a scale of 0–100) while performing human-machine tasks. ICU nurses' MWL was notably higher in conducting first aid and life support tasks (using defibrillators or ventilators). Predictors of MWL were task difficulty, system usability, professional title, age, self-efficacy, ICU category, and willingness to study emerging technology actively. Task difficulty and system usability were the strongest predictors of nearly all typical tasks.
ICU nurses experience a medium MWL while performing human-machine tasks, but higher mental, temporal, and effort are perceived compared to physical demands. The MWL varied significantly across different human-machine tasks, among which are significantly higher: first aid and life support and information-based human-machine tasks. Task difficulty and system availability are decisive predictors of MWL.
This is the first study to investigate the level of MWL of ICU nurses performing different representative human-machine tasks and to explore its predictors, which provides a reference for future research. These findings suggest that healthcare organizations should pay attention to the MWL of ICU nurses and develop customized management strategies based on task characteristics to maintain a moderate level of MWL, thus enabling ICU nurses to perform human-machine tasks better.
No patient or public contribution.
Vector borne diseases (VBDs) present significant public health challenges in Southeast Asia (SEA), and the increasing number of cases threatens vulnerable communities. Inadequate vector control and management have been linked to the spread of VBDs. To address these issues, community participation has been proposed as a promising approach to enhance health programmes and control of VBDs. This article outlines a protocol for a scoping review of the published literature on community-participation approaches to control VBDs in the SEA region. The primary research question is ‘How does community participation complement the control of VBDs in SEA?’ This review aims to provide an overview of various approaches and identify barriers and facilitators to effective implementation.
The research questions will guide the scoping review. In stage 1, peer-reviewed publications from PubMed, Web of Science and Scopus will be searched using predefined search terms related to community-based approaches and VBDs in the SEA region, English, Indonesian and Malay published between 2012 and 2022. In stage 2, the references from relevant articles will be screened for eligibility. In stage 3, eligible articles will be charted in Microsoft Excel to facilitate the review process, and studies will be characterised based on the investigated diseases; this review will also highlight the methodological context of these studies. In stage 4, a thematic analysis will be conducted to derive meaningful findings from the dataset relevant to the research inquiry, followed by writing the results in stage 5. This scoping review aims to be the first to explore community participation in VBD control in the SEA population, providing valuable insights for future research and stakeholders involved in disease control.
This scoping review does not require ethical approval because the methodology synthesises information from available articles. This review is planned for dissemination in academic journals, conference presentations and shared with stakeholders as part of knowledge sharing among those involved in VBD control.
A significant proportion of individuals suffering from post COVID-19 condition (PCC, also known as long COVID) can present with persistent, disabling fatigue similar to myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS) and post-viral fatigue syndromes. There remains no clear pharmacological therapy for patients with this subtype of PCC, which can be referred to as post-COVID fatigue syndrome (PCFS). A low dose of the opioid antagonist naltrexone (ie, low-dose naltrexone (LDN)) has emerged as an off-label treatment for treating fatigue and other symptoms in PCC. However, only small, non-controlled studies have assessed LDN in PCC, so randomised trials are urgently required.
A prospective, randomised, double-blind, parallel arm, placebo-controlled phase II trial will be performed to assess the efficacy of LDN for improving fatigue in PCFS. The trial will be decentralised and open to eligible individuals throughout the Canadian province of British Columbia (BC). Participants will be recruited through the province-wide Post-COVID-19 Interdisciplinary Clinical Care Network (PC-ICCN) and research volunteer platform (REACH BC). Eligible participants will be 19–69 years old, have had a confirmed or physician-suspected SARS-CoV-2 infection at least 3 months prior and meet clinical criteria for PCFS adapted from the Institute of Medicine ME/CFS criteria. Individuals who are taking opioid medications, have a history of ME/CFS prior to COVID-19 or history of significant liver disease will be excluded. Participants will be randomised to an LDN intervention arm (n=80) or placebo arm (n=80). Participants in each arm will be prescribed identical capsules starting at 1 mg daily and follow a prespecified schedule for up-titration to 4.5 mg daily or the maximum tolerated dose. The trial will be conducted over 16 weeks, with assessments at baseline, 6, 12 and 16 weeks. The primary outcome will be fatigue severity at 16 weeks evaluated by the Fatigue Severity Scale. Secondary outcomes will include pain Visual Analogue Scale score, overall symptom severity as measured by the Patient Phenotyping Questionnaire Short Form, 7-day step count and health-related quality of life measured by the EuroQol 5-Dimension questionnaire.
The trial has been authorised by Health Canada and approved by The University of British Columbia/Children’s and Women’s Health Centre of British Columbia Research Ethics Board. On completion, findings will be disseminated to patients, caregivers and clinicians through engagement activities within existing PCC and ME/CFS networks. Results will be published in academic journals and presented at conferences.
FreshRSS 