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Determine the positive psychological experience of patients with chronic heart failure through a systematic literature review and to provide a reliable basis for their psychological care.
Qualitative meta-synthesis.
A qualitative meta-synthesis was conducted to extract and analyse qualitative research from PubMed, Web of Science, Embase, Cochrane, CINAHL, PsycINFO and Chinese Database, including China National Knowledge Internet, Wanfang Database, China Biology Medicine Disc and VIP database from the inception of the database to 24 March 2024.
Two researchers screened, extracted and cross-checked data. Disputes resolved via discussion or 3rd researcher. Irrelevant titles/abstracts were excluded; full-texts were reviewed for final inclusion.
A total of 17 qualitative studies yielded 58 results, categorised into 10 groups and synthesised into three themes: positive attitudes and emotional responses, positive changes after the disease diagnosis and supportive factors for positive psychology.
Heart failure patients can experience positive psychology post-illness. Care providers should prioritise psychological assessment and support factors to meet needs, foster rehabilitation and improved quality of life.
CHF patients crucially contributed to this qualitative meta-synthesis by sharing insights into their positive psychological experiences, resilience and coping strategies.
Improving global access to pain management medications for cancer patients remains a critical priority. Nurses are now understood to play an essential role in cancer pain medication management, yet the barriers and facilitators they encounter require urgent identification.
This systematic review aimed to identify the barriers and facilitators for nurses in managing cancer pain medication.
This systematic review followed the Joanna Briggs Institute (JBI)'s guidelines for qualitative systematic reviews.
Eleven databases (PubMed, Web of Science, the Cochrane Library, the Cumulative Index to Nursing and Allied Health Literature (CINAHL), Embase, Scopus, OPENGREY.EU, China National Knowledge Infrastructure (CNKI), Wanfang Database, China Science and Technology Journal Database (VIP) and SinoMed) were searched from their inception to 9th July 2025. Articles were evaluated for quality using JBI critical appraisal tools. Data extraction was performed according to JBI standardised protocols, and evidence synthesis was conducted using JBI meta-aggregation, which involved extracting findings, categorising them into thematic groups and synthesising them into comprehensive statements.
Twenty-four qualitative studies were reviewed in the present study. Two synthesised findings regarding the barriers and facilitators for nurses in managing cancer pain medication were integrated: (1) Barriers for nurses to manage cancer pain medication were summarised into five categories: systemic barriers, resource barriers, knowledge and skills barriers, financial and cultural barriers and communication and psychological barriers; (2) Facilitators for nurses to manage cancer pain medication were summarised into three categories: nursing capacity building, supportive care environments and collaborative support systems.
Multilevel barriers impede nurse-led cancer pain management, necessitating policy reforms (e.g., tiered prescribing), investments in telehealth/training and culturally responsive interprofessional collaboration. Prioritising facilitators, capacity building, supportive environments and collaboration is vital to empower nurses in delivering equitable, evidence-based pain relief.
This review equips clinical managers and policymakers with evidence to implement policy and practice reforms, such as tiered prescribing and interprofessional collaboration, which are critical to empower nurses in delivering effective cancer pain management.
This systematic review was prospectively registered in PROSPERO prior to the initiation of the search (Registration ID: CRD42024570807).
There was no patient or public contribution.
To examine the role of nurses in providing post-treatment follow-up care to breast cancer survivors, and to assess the impact of this care on survivors' satisfaction.
Scoping review.
An electronic literature search from PubMed and CINAHL databases was conducted, covering the period from 2013 to November 2023.
Twenty-seven articles were included in this review, highlighting key areas in which nurses play essential roles in the provision of post-treatment care for breast cancer survivors. The identified nursing roles include the surveillance and early detection of relapses, the assessment and support of self-management for late physical and psychosocial effects of cancer, health promotion and care coordination. Regarding satisfaction, survivors reported high overall satisfaction with nursing care. However, satisfaction levels varied with regard to specific needs, particularly in managing the fear of recurrence.
Nurses play a fundamental role in delivering post-treatment care to breast cancer survivors. However, evidence regarding their specific contributions and survivors' satisfaction with long-term care remains limited, underscoring the need for further research to enhance care during the long-term survivorship phase.
Consolidating the diverse roles of nurses in post-treatment care into a unified framework could support comprehensive and personalised care, addressing unmet needs. Evaluating patient satisfaction with nursing follow-up helps identify effective interventions and areas for improvement in future research.
This review analyses the diverse roles of nurses in the follow-up care of breast cancer survivors and highlights the impact of nursing care on patient satisfaction.
This study adhered to the PRISMA-ScR reporting guidelines.
No patient or public contribution.
To identify barriers and facilitators to nurse prescribing implementation through a synthesis of qualitative studies.
The roles of healthcare professionals are expanding in response to the growing demand for access to high-quality healthcare services. Advanced practice nurses are a global trend, and nurse prescribing is a crucial feature of advanced practice nurses that can meet the needs of growing healthcare services. The development and promotion of nurse prescribing varies significantly across countries, and it is essential to identify the factors influencing the implementation of nurse prescribing.
A systematic search of PubMed, Web of Science, Embase, Cochrane Library, CINAHL, China National Knowledge Infrastructure, Chinese Biomedical Literature Database, Wan Fang and Weipu database was conducted to retrieve literature on barriers and facilitators related to the implementation of nurse prescribing. We searched records from inception to 29 March 2025. Two researchers independently performed literature screening, literature evaluation, data extraction and synthesis. Literature screening and data extraction adhered to the predefined inclusion and exclusion criteria. Literature quality was evaluated using the JBI Checklist for Qualitative Research. The results were synthesised using the thematic synthesis approach. Information was extracted using the Consolidated Framework for Implementation Research (CFIR) in a deductive way, and barriers and facilitators to the implementation were categorised based on the CFIR. Report rigour assessed via ENTREQ.
The synthesis of 14 included papers identified 18 thematic categories, yielding two key findings. The main barriers identified included failure to anticipate the cost of nurse prescribing, legal constraints, social pressures, poor organisational structure, insufficient prescribing education, lack of competence of nurses leading to psychological changes, opposition and lack of cooperation of team members, and insufficient planning of nurse prescribing. Facilitating factors included prescribing experience, resource and labor conservation, cost reduction, resources, nurses' prescribing training, leadership support, patients' needs, nursing professional development, nurses' competence, and team cooperation and support.
Identifying barriers and facilitators to nurse prescribing is critical for informing policy-making and clinical prescribing practices. The results offers practical guidance to develop strategic plans that enhance implementation and adoption of nurse prescribing.
Nurse prescribing improves patient access while mitigating healthcare strain. By streamlining medication delivery and optimising resource use in overburdened systems, this model strengthens patient-centered care while allowing physician specialisation in complex cases. This workforce innovation enhances team-based care and ensures continuity for vulnerable populations.
This paper identifies barriers and facilitators, offering policymakers, healthcare administrators, and educators actionable insights to enable nurse role expansion, reduce physician workload, and enhance outcomes through holistic care.
No patient or public contribution.
To analyse the impact of a participatory process of awareness and reflection on compassion, in the face of end-of-life processes, in students aged 12–23 years in six Spanish regions, and to understand how the participatory process can transform their compassion.
Mixed sequential transformative methodology with different phases. In the first phase, a prospective quasi-experimental design with evaluation pre-post in a single group will be adopted. The second phase is the intervention under study, which will consist of a Participatory Action Research with concurrent evaluations.
In the quantitative phase, 1390 students aged 12–23 from a Public University and a Public Secondary Education Institute across six different Spanish regions will be included. A single questionnaire will be administered before and after the Participatory Action Research to contribute to the process evaluation, incorporating four scales (compassion for others' lives, Death Anxiety Scale, basic empathy modified for adolescents and self-compassion). Responses will be recorded in the Research Electronic Data Capture system. For data analysis, comparison groups, change evolution and associations between variables will be examined, along with multivariate logistic regression models. In the qualitative phase of participatory action research, a promoter group will be established in each university and secondary school in every region. Qualitative data will be analysed following the authenticity, transferability, auditability and neutrality criteria. Discourse analysis triangulation will be conducted to achieve data saturation.
Implementing participative action research in the educational environment to improve students' compassion makes them capable of founding compassion communities to help those who have a terminal illness.
This study will adhere to the relevant EQUATOR guidelines, such as the Good Reporting of a Mixed Methods Study guideline, to efficiently report its results through the different steps of this mixed-methods study.
Participatory action research is a method that enables participants to act as researchers of the phenomenon under study, facilitating the immediate application of results within the context. Although students did not participate in the writing of the proposal grant or the research design.
This study registered on Clinical Trials (NCT06310434), was initiated in January 2024, and it will continue up to December 2026.
This multicentre study will contribute to the nursing community with an overview of compassion for those at the end of their lives among young people and provide the knowledge needed to cultivate compassion at universities and schools.
Implementing compassion programmes and death education in the educational environment will empower students to create a compassionate community. The double evaluation of the process will contribute to the qualitative databases.
This study aimed to (1) evaluate the effectiveness of e-health interventions in improving physical activity and associated health outcomes during pregnancy, (2) compare the e-health functions employed across interventions and (3) systematically identify the behaviour change techniques (BCTs) used and examine their interrelationships.
A systematic review and meta-analysis following the PRISMA 2020 guidelines.
Randomised controlled trials were included. Meta-analyses and subgroup analyses were performed using RevMan 5.3. Social network analysis was conducted to determine the most central BCTs within the intervention landscape.
Ten databases were searched, including PubMed, Embase, Web of Science, Cochrane Library, ProQuest, Scopus, SinoMed, China National Knowledge Infrastructure, WanFang and the China Science and Technology Journal Database, from inception to April 22, 2024.
Thirty-five studies were included. Pooled analyses indicated that e-health interventions significantly improved both total (SMD: 0.19; 95% CI: 0.10 to 0.27; I 2 = 55%) and moderate-to-vigorous physical activity (SMD: 0.16, 95% CI: 0.06 to 0.26; I 2 = 53%) in pregnant women. Subgroup analyses revealed that interventions based on theoretical frameworks and those not specifically targeting overweight or obese women demonstrated greater effectiveness. Additionally, e-health interventions were associated with significant reductions in both total and weekly gestational weight gain. Six of the twelve e-health functions were utilised, with ‘client education and behaviour change communication’ being the most prevalent. Thirty unique BCTs were identified; among them, ‘instruction on how to perform the behaviour’, ‘self-monitoring’, ‘problem solving’, and ‘goal setting’ showed the highest degree of interconnectedness.
E-health interventions are effective in enhancing physical activity and reducing gestational weight gain during pregnancy. Incorporating theoretical frameworks and well-integrated BCTs is recommended to optimise intervention outcomes.
Integrating e-health interventions into existing perinatal care models holds promise for enhancing physical activity among pregnant women and improving maternal health outcomes.
This study adhered to the PRISMA checklist.
No patient or public involvement.
The study protocol was preregistered in the International Prospective Register of Systematic Reviews (CRD42024518740)
To develop a structured intervention aimed at enhancing family communication to reduce relapse in adolescents with depression.
This study follows a multi-stage process guided by the Intervention Mapping procedure with the Medical Research Council framework, assessing the layers of complexity. Its design comprises four interrelated stages to construct a family communication intervention, culminating in a pilot randomised controlled trial.
The program has four stages: (1) Identifying family interaction gaps through literature review and expert input; (2) Investigating communication needs of depressed adolescents and their families via a mixed methods study to develop a model intervention; (3) Refining the intervention with focus groups and expert e-Delphi; and (4) Finalising the intervention based on pilot randomised controlled trial outcomes. The research will be conducted in Greater Accra, Ghana.
The process will result in a family communication intervention tailored to the needs of adolescents with depression and their families. It will be pilot tested, and the results will inform a nationwide efficacy trial.
This research integrates qualitative and quantitative data to inform the development of an evidence-based family communication intervention. The program will carefully examine data integration and contextual challenges encountered during its implementation.
The intervention has the potential to enhance family communication, thus playing a crucial role in adolescent depression recovery by reducing relapse rates. Healthcare professionals will benefit from a structured, evidence-based communication tool that can be used in clinical settings.
The study focuses on improving communication between families of adolescents with depression, aiming to develop a family communication package for clinical and community use. This intervention may enhance recovery outcomes and reduce relapse risk for adolescents.
This study adhered to the GUIDED guideline for reporting intervention development studies.
No Patient or Public Contribution.
Chronic heart failure (CHF) is a progressive life-limiting condition that necessitates early implementation of advance care planning (ACP). However, patients and caregivers encounter emotional, informational, and cultural barriers to effective ACP engagement. This meta-synthesis consolidates qualitative evidence to deepen our understanding of ACP practices in CHF care.
This study aimed to explore experiences of CHF patients and their caregivers in ACP, which is defined as a proactive decision-making process to establish future treatment plans based on patients' values. The study also aimed to identify barriers and facilitators influencing ACP decisions and assess the impact of flexible, personalized ACP approaches on care quality.
Using qualitative meta-synthesis, we analyzed 10 qualitative studies on CHF patients' and caregivers' ACP experiences. Data were thematically synthesized to identify emotional, relational, and practical factors that influence engagement in ACP.
Three themes emerged: (1) heart failure patients and caregivers face difficulties in ACP (difficulties from patients, difficulties from the family, and difficulties from the society), (2) multidimensional drivers and impacts of ACP (advance care planning drivers, acceptance and implementation of ACP, emotions and effects of ACP), (3) flexible, personalized ACP delivers tangible benefits (timing and effectiveness of ACP discussions, patients and caregivers have personalized needs for ACP, and patients and caregivers affirm ACP benefits).
ACP plays a critical role in improving end-of-life care quality and reducing emotional and decision-making burdens on caregivers. Flexible and personalized ACP strategies supported by trained healthcare professionals more effectively meet the unique needs of patients and families. To overcome persistent barriers and promote broader ACP adoption, healthcare systems should prioritize provider communication training, ACP education, and support systems tailored to diverse cultural contexts.
To examine the association between perceived quality of care and the level of coercion experienced by individuals hospitalised in acute mental health units.
National cross-sectional study.
Data were collected from 255 patients admitted to 12 acute mental health units across Spain. Standardised instruments assessed perceived quality of care and levels of coercion, humiliation and fear at discharge. Multiple linear regression analyses were used to explore associations between care quality dimensions and patients' experiences.
Perceived quality of care was significantly associated with lower levels of perceived coercion and humiliation. All dimensions of care quality showed inverse associations, with the “secluded” dimension showing the strongest association. The association between care quality and perceived fear was less consistent. These findings are particularly relevant for mental health nurses, who play a central role in delivering relational care and ensuring patients' emotional safety.
Higher perceived quality of care is associated with lower levels of coercion, humiliation, and fear during hospitalisation in acute mental health settings.
For mental health nursing, these results underscore the critical role of nurses in creating therapeutic environments that reduce coercive experiences. By fostering trust, promoting patient autonomy, and ensuring emotional and physical safety, nurses can significantly influence the quality of care and patient outcomes.
The study addresses the lack of evidence on how perceived quality of care influences experiences of coercion in acute mental health settings. Better perceived care quality is linked to reduced feelings of coercion, humiliation and fear. The research has direct implications for mental health nurses, clinical educators and healthcare managers aiming to improve patient experiences and reduce coercive practices in psychiatric care.
STROBE reporting guideline.
No patient or public contribution.
Cognitive decline, including subjective cognitive decline (SCD), mild cognitive impairment (MCI), and dementia, significantly affects social participation, leading to social isolation and reduced quality of life. Enhancing social participation through interventions may mitigate these effects, yet evidence on intervention effectiveness and mechanisms remains inconsistent.
To evaluate the effectiveness of social participation interventions for individuals with cognitive decline and identify effective behavior change techniques (BCTs) supporting social participation.
Our search using the following databases—PubMed, Web of Science, Embase, Cochrane Library, CINAHL, Scopus, CNKI, and Wanfang—was conducted until October 2024. The quality of the included studies was assessed using the Cochrane risk of bias tool for randomized trials. Meta-analyses were conducted using Review Manager 5.4 and Stata18, and the certainty of evidence was rated using the Grading of Recommendations Assessment, Development, and Evaluation approach.
Sixteen RCTs involving 2190 participants were included. Music therapy (SMD = 0.62, 95% CI [0.15, 1.10]) and reminiscence therapy (SMD = 0.34, 95% CI [0.02, 0.66]) demonstrated significant positive effects on social participation. Group-based interventions were particularly effective (SMD = 0.23, 95% CI [0.04, 0.43]). Commonly used BCTs included goal setting, behavioral practice/rehearsal, and social support. However, substantial heterogeneity and limited data on SCD and MCI restricted generalizability.
Interventions promoting social participation may enhance engagement for individuals with cognitive decline, particularly through music therapy, reminiscence therapy, and group-based formats. The complexity and dynamic nature of social interaction require individuals to engage and integrate various cognitive functions and skills, which can present significant challenges for older adults with cognitive impairments in their daily social participation. Further research is needed to optimize intervention components and address gaps in targeting early cognitive decline stages.
To investigate the physical activity levels of lung cancer survivors, analyse the influencing factors, and construct a predictive model for the physical activity levels of lung cancer survivors based on machine learning algorithms.
This was a cross-sectional study.
Convenience sampling was used to survey lung cancer survivors across 14 hospitals in eastern, central, and western China. Data on demographic, disease-related, health-related, physical, and psychosocial factors were also collected. Descriptive analyses were performed using SPSS 25.0, and predictors were identified through multiple logistic regression analyses. Four machine learning models—random forest, gradient boosting tree, support vector machine, and logistic regression—were developed and evaluated based on the Area Under the Curve of the Receiver Operating Characteristic (AUC-ROC), accuracy, precision, recall, and F1 score. The best model was used to create an online computational tool using Python 3.11 and Flask 3.0.3. This study was conducted and reported in accordance with the TRIPOD guidelines and checklist.
Among the 2231 participants, 670 (30%), 1185 (53.1%), and 376 (16.9%) exhibited low, moderate, and high physical activity levels, respectively. Multivariate logistic regression identified 15 independent influencing factors: residential location, geographical region, religious beliefs, histological type, treatment modality, regional lymph node stage, grip strength, 6-min walking distance, globulin, white blood cells, aspartate aminotransferase, blood urea, MDASI score, depression score, and SRAHP score. The random forest model performed best among the four algorithms, achieving AUC-ROC values of 0.86, 0.70, 0.72, and 0.67, respectively, and was used to develop an online predictive tool (URL: http://10.60.32.178:5000).
This study developed a machine learning model to predict physical activity levels in lung cancer survivors, with the random forest model demonstrating the highest accuracy and clinical utility. This tool enables the early identification of low-activity survivors, facilitating timely, personalised rehabilitation and health management.
The development of a predictive model for physical activity levels in lung cancer survivors can help clinical medical staff identify survivors with relatively low physical activity levels as early as possible. Thus, personalised rehabilitation plans can be formulated to optimise quality of life during their survival period.
Physical activity has been used as a nonpharmacological intervention in cancer patient rehabilitation plans. However, a review of past studies has shown that lung cancer survivors generally have low physical activity levels. In this study, we identified the key factors influencing physical activity among lung cancer survivors through a literature review. We constructed a prediction model for their physical activity levels using machine learning algorithms. Clinical medical staff can use this model to identify patients with low physical activity levels early and to develop personalised intervention plans to improve their quality of life during survival.
The study adhered to the relevant EQUATOR reporting guidelines, the TRIPOD Checklist for Prediction Model Development and Validation.
During the data collection phase, participants were recruited to complete the questionnaires.
To critically assess the impact of theory-guided positive psychological interventions on the quality of life of breast cancer patients and survivors.
Systematic review and meta-analysis.
A comprehensive literature search was conducted across seven electronic databases from inception to August 2024. Randomised controlled trials that examined the effects of theory-guided positive psychological interventions on adult breast cancer patients or survivors and reported quality of life outcomes were included. Screening, data extraction and critical appraisal were independently performed by the reviewers using the revised Cochrane risk-of-bias tool (RoB2). A meta-analysis was conducted using RevMan Web. The study was reported following the PRISMA 2020 Statement.
Five randomised controlled trials were included. Only two of these studies showed a low risk of bias across all quality measures. The meta-analysis demonstrated a significant improvement in quality of life following theory-guided positive psychological interventions, with low heterogeneity. Subgroup analyses revealed that interventions lasting either less than or longer than 3 weeks, and both group-based and individual-based formats, had positive effects on quality of life. Additional psychological benefits were observed including reductions in depressive symptoms, anxiety, perceived stress and improvements in post-traumatic growth, resilience, hope and perceived benefits. One study also reported improvements in sleep quality.
The findings demonstrate that theory-guided positive psychological interventions can potentially significantly improve quality of life in breast cancer patients. However, the limited number of studies underscores the need for further high-quality research to validate these findings and identify the most effective intervention characteristics.
Our systematic review highlights that theory-guided positive psychological interventions show promise as an effective strategy for improving the quality of life in breast cancer patients. These interventions can enhance psychosocial support strategies, paving the way for better-informed approaches that lead to improved patient outcomes.
No patient or public contribution.
The systematic review and meta-analysis had been registered with the International Prospective Register of Systematic Reviews (PROSPERO) under the registration ID number: CRD42024581382
The relationship between occupational stress and the quality of nursing care in the operating room (OR) is an area that has not been thoroughly explored in the literature. The present study was designed to examine the correlation between job-related stress and the quality of care delivered by nurses in the OR setting.
A cross-sectional survey was administered to OR nurses at our institution from 1 April to 30 April 2023. Participants were asked to complete a demographic questionnaire and several validated scales: the Good Perioperative Nursing Care Scale (GPNCS), the Operating Room Nurses' Job Stressor Scale (ORNJSS), the Self-rating Anxiety Scale (SAS), and the Self-rating Depression Scale (SDS).
A total of 171 OR nurses participated. The mean score for nursing quality was 143.01 (SD 19.44), job stressors scored an average of 94.12 (SD 22.57), anxiety scores averaged 54.13 (SD 15.76), and depression scores averaged 59.41 (SD 15.03). A robust inverse correlation was identified between the nursing quality score and the job stressor score (r = −0.641). Furthermore, the nursing quality score exhibited significant negative correlations with both anxiety (r = −0.658) and depression (r = −0.626) scores.
The findings of this study demonstrate a substantial inverse correlation between the quality of perioperative nursing care and the intensity of occupational stressors, as well as the prevalence of anxiety and depressive symptoms among OR nurses. It is imperative for hospital management to contemplate and implement interventions aimed at mitigating work-related stress and bolstering the psychological well-being of OR nursing staff.
To explore the mediating effects of psychological flexibility and anxiety between knowledge and health behaviour in stroke patients, and to provide a reference for improving the health behaviour of stroke patients.
A cross-sectional study.
A convenience sampling method was used to recruit 219 stroke patients from a tertiary hospital in China from July to November 2024. Patients were surveyed using an electronic questionnaire containing demographic questions and validated scales for stroke knowledge, psychological flexibility, anxiety and health behaviour. IBM SPSS v26.0 software and PROCESS Process macro were used for data analysis.
The health behaviour score of stroke patients was 54.2 ± 3.8, and health behaviour was positively correlated with stroke knowledge and negatively correlated with psychological flexibility and anxiety. There was a significant chain-mediated effect of psychological flexibility and anxiety in the relationship between stroke knowledge and health behaviour.
Stroke knowledge not only directly predicts health behaviour in stroke patients, but also indirectly influences the health behaviour of patients through the chain mediation of psychological flexibility and anxiety.
This study highlights the importance of caregivers focusing on the interactions between patient knowledge, psychological flexibility, anxiety and health behaviour when caring for stroke patients. Comprehensive interventions aimed at enhancing stroke patients' knowledge, improving patients' psychological flexibility and reducing anxiety have the potential to improve patient health behaviour.
Patients completed questionnaires.
The Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) checklist for cross-sectional studies was applied to report the results.
To explore the effects of telehealth-based exercise interventions on balance, motor function, walking ability and activities of daily living (ADLs) in patients with stroke.
Meta-analysis of randomised controlled trials.
This meta-analysis of randomised controlled trials was reported to follow the PRISMA statement and the Cochrane Handbook guidelines. The study employed either a fixed-effects model or a random-effects model according to the statistical heterogeneity observed.
The literature search was performed in six databases including PubMed, Embase, the Cochrane Central Register of Controlled Trials, Web of Science, PsycINFO and CINAHL from inception to December 2023.
A total of 15 randomised controlled trials were included in this meta-analysis. Most of the studies were evaluated for some concerns. The quality of the evidence in this analysis ranged from low to moderate in terms of the outcome. Meta-analysis revealed that telehealth-based exercise interventions presented significant effects on walking ability, motor function and ADLs in patients with stroke. Nonetheless, the balance remained unaffected by statistical significance.
Telehealth-based exercise interventions could effectively improve walking ability, motor function and ADLs in patients with stroke; however, the impact on balance was not significant. Telehealth-based exercise interventions are recommended for stroke survivors residing in remote areas or facing economic constraints.
This meta-analysis showed that telehealth-based exercise interventions could bring benefits to the rehabilitation of patients with stroke. Telehealth-based exercise interventions should be considered effective to better promote the rehabilitation of patients.
The study was reported in compliance with the PRISMA statement.
None.
PROSPERO (https://www.crd.york.ac.uk/PROSPERO): CRD42024501015
To compare and rank the efficacy of different non-pharmacological interventions on anxiety, depression, sleep disorders, and the quality of life in liver transplantation patients.
In recent years, numerous non-pharmacological interventions have been developed to address anxiety, depression, sleep disorders, and the quality of life in liver transplantation patients. However, it remains unclear which non-pharmacological intervention serves as the most effective and preferred approach.
A systematic review and network meta-analysis in accordance with the PRISMA guidelines.
Relevant randomised controlled trials were extracted from eight electronic databases. A network meta-analysis was then performed to evaluate the relative efficacy of the non-pharmacological interventions for liver transplantation patients. The quality of the data was assessed using the Cochrane Risk of Bias tool. We registered this study in PROSPERO, number CRD42023450346.
A total of 25 randomised controlled trials were included. Spouse support education combined with mindfulness training, individualised psychological intervention, and cognitive behavioural therapy were found to be significantly effective for both anxiety and depression. The top three interventions against anxiety were spouse support education combined with mindfulness training, individualised psychological intervention, and exercise rehabilitation training. Meanwhile, individualised psychological intervention, spouse support education combined with mindfulness training, and cognitive behavioural therapy were the top-ranked three interventions for reducing depression. Sleep hygiene education was the most effective to improve sleep disorders. Continuous care based on a mobile medical platform emerged as the most effective intervention in improving the quality of life.
Several non-pharmacological interventions appeared to be effective in treating anxiety, depression, sleep disorders, and improving the quality of life among liver transplantation patients. More high-quality clinical trials should be incorporated in the future to investigate the reliability of existing findings.
Healthcare professionals should be encouraged to apply these promising non-pharmacological interventions during clinical care.
This study did not directly involve patients or public contributions to the manuscript.
To evaluate the accuracy of different pressure injury risk assessment tools in paediatrics and identify risk assessment tools with the best predictive performance.
A systematic review and network meta-analysis.
Eight electronic databases, including PubMed, Embase, Web of Science, Cochrane Library, China Knowledge Resource Integrated Database, Weipu Database, Wanfang Database and Chinese Biomedical Database were comprehensively searched. The study was conducted using the Preferred Reporting Items for Systematic reviews and Meta-Analyses (PRISMA) guidelines 2020. Two researchers independently conducted article screening, data extraction and quality assessment. Statistical analysis was performed using R 4.3.1 and Stata 14.0.
A total of 20 articles were included in this study, involving 4908 patients and 13 pressure injury risk assessment tools for children, of which 15 articles were included in the network meta-analysis. The results showed that the Paediatric Pressure Ulcer Prediction and Evaluation Tool (PPUPET) had the highest superiority index, with the relative sensitivity (0.7, 95% confidence interval, CI: 0.0–1.5) and the relative specificity (1.4, 95% CI: 0.7–1.8). The next was Braden-Q combined with the Glamorgan scale, with a superiority index of 7.08, a relative sensitivity of 1.1 (95% CI: 0.5–1.5) and a relative specificity of 1.3 (95% CI: 0.8–1.7).
This study suggested that the PPUPET can comprehensively evaluate medical device-related pressure injuries in children, the Braden-Q scale had a better predictive performance for children aged 21 days–8 years in general paediatric departments, and the Glamorgan scale was suitable in the Paediatric Intensive Care Unit.
This review highlights that clinical practitioners should select appropriate assessment tools based on different departments and the age of children to accurately assess the risk of pressure injuries in children.
No Patient or Public Contribution.
PROSPERO CRD42023470769. http://www.crd.york.ac.uk/PROSPERO/#recordDetails.
To synthesise existing evidence concerning the application of AI methods in detecting depression through behavioural cues among adults in healthcare and community settings.
This is a diagnostic accuracy systematic review.
This review included studies examining different AI methods in detecting depression among adults. Two independent reviewers screened, appraised and extracted data. Data were analysed by meta-analysis, narrative synthesis and subgroup analysis.
Published studies and grey literature were sought in 11 electronic databases. Hand search was conducted on reference lists and two journals.
In total, 30 studies were included in this review. Twenty of which demonstrated that AI models had the potential to detect depression. Speech and facial expression showed better sensitivity, reflecting the ability to detect people with depression. Text and movement had better specificity, indicating the ability to rule out non-depressed individuals. Heterogeneity was initially high. Less heterogeneity was observed within each modality subgroup.
This is the first systematic review examining AI models in detecting depression using all four behavioural cues: speech, texts, movement and facial expressions.
A collaborative effort among healthcare professionals can be initiated to develop an AI-assisted depression detection system in general healthcare or community settings.
It is challenging for general healthcare professionals to detect depressive symptoms among people in non-psychiatric settings. Our findings suggested the need for objective screening tools, such as an AI-assisted system, for screening depression. Therefore, people could receive accurate diagnosis and proper treatments for depression.
This review followed the PRISMA checklist.
No patients or public contribution.
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