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To synthesize available evidence about core competencies for nurses engaged in palliative care.
A scoping review conducted according to the framework from Joanna Briggs Institute.
The Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews checklist was adopted to report this scoping review. The PubMed, Web of Science, Embase, ScienceDriect, CNKI, WangFang, VIP and Sinomed databases were used to systematically search for published studies from their inception to December 2023. Two researchers independently screened and selected relevant studies and performed the data charting.
Twenty-six studies were included in this scoping review. Among these, 14 studies identified core competency assessment instruments among nurses engaged in palliative care, with the Palliative Care Core Competence Questionnaire was used most frequently; 13 studies investigated the status of core competencies of nurses engaged in palliative care, the majority of included studies indicated that nurse's core competencies were at moderate levels; 11 studies explored the factors influencing the core competencies of the nurses engaged in palliative care, which were classified as sociodemographic-related factors, palliative care education-related factors, death attitude, palliative care practice-related experience and others.
This scoping review offers a comprehensive overview of the current landscape of core competencies among nurses in palliative care. Findings suggested that the clinical nursing leaders need to develop tailored strategies and interventions to address specific factors and promote the continuous development of nurses' competencies in palliative care.
Core competency assessment instruments equip nurses and healthcare organizations with a range of validated tools for evaluating their proficiency in palliative care. Targeted core competency enhancement programmes need to be developed to foster a nursing workforce better equipped to improve the quality of life of end-of-life patients and their families.
No patient or public contribution.
To map evidence of the existing virtual reality-based dementia educational programmes and the effects of these educational programmes on dementia formal and informal caregivers.
A scoping review.
A comprehensive search of nine databases was conducted to find studies from the inception of the databases to October 2023. Two authors independently screened the titles and abstracts related to the eligibility criteria. Full texts of potentially relevant studies were read by one author and checked by a second. Data extraction and synthesis using NVivo 12 were undertaken by one author and checked by two other authors.
Nineteen studies published between 2002 and 2022. The four randomised controlled studies and five qualitative studies were of moderate to good methodological quality. The 10 quasi-experimental studies were of weak to moderate quality. Fifteen virtual reality-based educational programmes had a positive influence on formal and informal caregivers, including improving caregivers' perceptions changing attitudes towards people with dementia, while the nursing competence of formal caregivers did not improve in short term. Educational programmes that covered dementia-related information and care strategies better improved the knowledge level of dementia formal and informal caregivers.
The qualitative and quantitative studies of moderate to good quality included in this study support the idea that virtual reality-based dementia educational programmes may be a safe and effective way and have potential benefits for improving knowledge, perceptions, attitudes and nursing competence.
This scoping review will provide an emerging teaching model for formal and informal caregivers of people with dementia and help them better understand the types and the influence of virtual reality-based dementia educational programmes.
PRISMA-ScR.
Not required as this review in accordance with the aim to map existing literature from the dementia formal and informal caregivers' perspective.
To establish a supportive care framework for addressing unmet needs among breast cancer survivors, providing practical guidance for healthcare providers to assess and manage these needs, ultimately enhancing the health outcomes and quality of life of breast cancer survivors.
We conducted a two-round Delphi survey to gather expert opinions regarding the unmet needs supportive care framework for breast cancer survivors.
Initial framework identification and inquiry questionnaire creation was achieved via literature search and expert group discussions, which included 15 experts from nursing practice, clinical medicine, nursing management and nursing education was conducted using a Delphi survey. To establish consensus, a two-round Delphi poll was done, using criteria based on the mean (≥4.0), coefficient of variation (CV < 0.25) and percentage for entire score (≥20%).
Experts reached a consensus, leading to six care modules, and 28 care entries: Tumour Detection Support (three care entries), Management of Complications of Antitumor Therapy (seven care entries), Healthy Lifestyle Management (five care entries), Sexual and Fertility Support (four care entries), Psychosocial Support (four care entries) and Resource and Linkage Support (five care entries).
To address breast cancer survivors' unmet needs, a supportive framework was developed to actively enhance their health outcomes. However, further refinement and feasibility testing using mobile devices or artificial intelligence are required.
This pioneering framework prioritises addressing unmet needs and equips healthcare providers to assess and manage these needs effectively, facilitating the implementation of programs aimed at improving the well-being of breast cancer survivors.
This study was guided by a modified guideline for the Conducting and Reporting of Delphi Studies (CREDES) (Palliative Medicine, 31(8), 684, 2017).
No Patient or Public Contribution.
The Delphi study methodology does not require registration.
Efficient discharge for stroke patients is crucial but challenging. The study aimed to develop early predictive models to explore which patient characteristics and variables significantly influence the discharge planning of patients, based on the data available within 24 h of admission.
Prospective observational study.
A prospective cohort was conducted at a university hospital with 523 patients hospitalised for stroke. We built and trained six different machine learning (ML) models, followed by testing and tuning those models to find the best-suited predictor for discharge disposition, dichotomized into home and non-home. To evaluate the accuracy, reliability and interpretability of the best-performing models, we identified and analysed the features that had the greatest impact on the predictions.
In total, 523 patients met the inclusion criteria, with a mean age of 61 years. Of the patients with stroke, 30.01% had non-home discharge. Our model predicting non-home discharge achieved an area under the receiver operating characteristic curve of 0.95 and a precision of 0.776. After threshold was moved, the model had a recall of 0.809. Top 10 variables by importance were National Institutes of Health Stroke Scale (NIHSS) score, family income, Barthel index (BI) score, FRAIL score, fall risk, pressure injury risk, feeding method, depression, age and dysphagia.
The ML model identified higher NIHSS, BI, and FRAIL, family income, higher fall risk, pressure injury risk, older age, tube feeding, depression and dysphagia as the top 10 strongest risk predictors in identifying patients who required non-home discharge to higher levels of care. Modern ML techniques can support timely and appropriate clinical decision-making.
This study illustrates the characteristics and risk factors of non-home discharge in patients with stroke, potentially contributing to the improvement of the discharge process.
STROBE guidelines.
To explore women's and health professionals' views on the development of a midwifery-led mHealth app intervention in antenatal care and their demands for app functionality.
Descriptive qualitative research was utilized.
In total, 15 pregnant or postpartum women were interviewed via in-depth interviews and 10 health professionals including obstetricians, midwives and obstetric nurses were invited to participate in a focus group discussion (FGD). All interviews and the FGD were analysed using qualitative content analysis.
Four key themes emerged from the data, including (1) limitations of current maternity care services; (2) potential benefits for mHealth app-based midwifery care; (3) possible challenges for providing midwifery care through mHealth apps and (4) suggestions and needs for developing a midwifery-led mHealth app. Participants agreed on the potential need of developing a midwifery-led mHealth app in antenatal care to increase access to midwifery care services and to meet women's diverse needs. Participants preferred to develop professional, reliable, full-featured and interactive mobile applications. The main functions of midwifery-led mHealth apps included personalized assessment and health education, self-monitoring and feedback, data sharing and interactive functions. Women mentioned that online communication and consultation with midwives could help them receive continuous support outside facilities. Health professionals expressed it would be of great convenience and timeliness to send personalized messages to women and to inform them of healthy lifestyles during pregnancy. The challenges included a shortage of human resources, medico-legal risks associated with mHealth and data security risks.
This study explores the individual views and functional needs of target users and healthcare providers for developing a midwifery-led mHealth app in antenatal care, which will serve as a reference for future application development.
Our study has important and practical implications for guiding the development of future midwifery-led mHealth app interventions.
No patient or public contribution.
As pharmacotherapy often leads to adverse reactions, mind–body exercise (MBE) treatments have become a more popular option for treating depression in people living with breast cancer (BC). However, the most effective type of MBE treatment for this population remains unclear.
The aim of this systematic review and network meta-analysis (NMA) was to compare the efficacy of the different MBE modes for depression in people with BC.
A systematic search for randomized controlled trials (RCTs) from inception to March 25, 2023, was conducted in the following database: EMBASE, PubMed, Web of Science, Cochrane Library, China National Knowledge Infrastructure, Wanfang Data, China Biology Medicine, OpenGrey, and ClinicalTrials.gov. A traditional meta-analysis was conducted using the random-effects model to directly assess the effectiveness of various MBE interventions. Stata 16.0 software was used for performing the NMA.
The NMA was performed in 32 eligible RCTs including 2361 participants. The efficacy of MBE treatments on depression was ranked as the following: Liuzijue (surface under the cumulative ranking curve [SUCRA] = 95.4%) > Tai chi (SUCRA = 76.9%) > yoga (SUCRA = 55.0%) > Baduanjin (SUCRA = 53.9%) > Pilates (SUCRA = 38.6%) > dance (SUCRA = 30.2%) > Qigong (SUCRA = 28.1%) > control (SUCRA = 21.9%).
Our research showed that Liuzijue and Tai chi might be the most significantly effective MBE intervention for mitigating depression among BC survivors. Healthcare professionals could consider recommending Liuzijue and Tai Chi as a complementary therapy for BC survivors who experience depression.
As a devastating neurodegenerative disease, Alzheimer's disease (AD) imposes a considerable direct and indirect financial burden. However, effective drug treatment options are limited. In recent years, game therapy has become a research hotspot in this field.
The purpose of this study was to synthesize the conclusions of existing studies and integrate the data to evaluate the effects of game therapy on people living with dementia (PLWD).
We included randomized clinical trials and quasi-experimental studies which assessed the impacts of game therapy on PLWD and took cognitive function, quality of life, and depression as outcome indicators. Two trained researchers independently screened the studies, evaluated the quality, and extracted the data. Statistical analysis was performed by Review Manager (Revman) 5.3 and STATA16.0 software.
There were 12 studies involving 877 PLWD included, total. The results of the meta-analysis demonstrated that the Mini-Mental State Examination (MMSE) scores of the test group were significantly higher than that of the control group (SMD = 2.69, 95% CI [1.88, 3.51], p < .01), and the Cornell Scale for Depression in Dementia scores of the test group were significantly lower than those of the control group (SMD = −4.28, 95% CI [−6.96, −1.60], p < .01); but in terms of quality of life (SMD = 0.17, 95% CI [−0.82, 1.16], p = .74), the difference was not statistically significant.
Game therapy can improve cognitive function and depression in PLWD. The combination of different types of games can improve the different clinical symptoms of PLWD, and different intervention time also have different effects on the outcome, which shows that we can develop unique, systematic, safe, and scientific game intervention programs for PLWD to improve their cognitive function and depression.
The inconsistencies between randomized clinical trials (RCTs) registrations and peer-reviewed publications may distort trial results and threaten the validity of evidence-based medicine. Previous studies have found many inconsistencies between RCTs registrations and peer-reviewed publications, and outcome reporting bias is prevalent.
The aims of this review were to assess whether the primary outcomes and other data reported in publications and registered records in RCTs of nursing journals were consistent and whether discrepancies in the reporting of primary outcomes favored statistically significant results. Moreover, we reviewed the proportion of RCTs for prospective registration.
We systematically searched PubMed for RCTs published in the top 10 nursing journals between March 5, 2020, and March 5, 2022. Registration numbers were extracted from the publications, and registered records were identified from the registration platforms. The publications and registered records were compared to identify consistency. Inconsistencies were subdivided into discrepancies and omissions.
A total of 70 RCTs published in seven journals were included. The inconsistencies involved sample size estimation (71.4%), random sequence generation (75.7%), allocation concealment (97.1%), blinding (82.9%), primary outcomes (60.0%) and secondary outcomes (84.3%). Among the inconsistencies in the primary outcomes, 21.4% were due to discrepancies and 38.6% resulted from omissions. Fifty-three percent (8/15) presented discrepancies in the primary outcomes that favored statistically significant results. Additionally, although only 40.0% of the studies were prospective registrations, the number of prospectively registered trials has trended upward over time.
While not including all RCTs in the nursing field, our sample reflected a general trend: inconsistencies between publications and trial registrations were prevalent in the included nursing journals. Our research helps to provide a way to improve the transparency of research reports. Ensuring that clinical practice has access to transparent and reliable research results are essential to achieve the best possible evidence-based medicine.
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