FreshRSS

🔒
❌ Acerca de FreshRSS
Hay nuevos artículos disponibles. Pincha para refrescar la página.
AnteayerJournal of Clinical Nursing

Telerehabilitation Interventions That Improve Adherence to Pulmonary Rehabilitation in Patients With Chronic Respiratory Diseases: A Realist Review

ABSTRACT

Aim

To explore how, under what circumstances and why telerehabilitation can improve adherence to pulmonary rehabilitation in patients with chronic respiratory diseases.

Design

A realist review.

Data Sources

Embase, MEDLINE, CINAHL, PsycINFO, Web of Science, and the Cochrane Library were searched from inception to 2 July 2024 to identify relevant literature.

Methods

Initial programme theory was developed through research team meeting, informal literature reading and the use of Capability, Opportunity, Motivation, Behaviour model. After completing the literature search, key evidence was appraised, extracted and synthesised into context-mechanism-outcome configurations.

Results

The review included 23 studies. Seven context-mechanism-outcome configurations were identified. Accessibility and convenience of pulmonary rehabilitation; social interaction and support; technical support; individuality and flexibility of program; getting feedback and seeing results; real-time monitoring of diseases; and diverse motivational incentives were found to be critical for telerehabilitation to improve adherence to pulmonary rehabilitation in patients with chronic respiratory diseases.

Conclusions

This review explains the key mechanisms by which telerehabilitation improves adherence to pulmonary rehabilitation in patients with chronic respiratory diseases, which may contribute to the development and improvement of future pulmonary telerehabilitation interventions.

Impact

The program theory developed in this study may guide researchers and clinical staff in the development or improvement of pulmonary telerehabilitation interventions to improve patients' adherence to pulmonary rehabilitation and further support better pulmonary rehabilitation outcomes.

Reporting Method

This study adheres to The RAMESES reporting standards.

Patient or Public Contribution

No patient or public contribution.

Trial Registration

Open Science Framework (https://osf.io/). DOI: https://doi.org/10.17605/OSF.IO/YWMQ8

Generative AI at the Bedside: An Integrative Review of Applications and Implications in Clinical Nursing Practice

ABSTRACT

Aim

The aim of this integrative review is to critically appraise and synthesise empirical evidence on the clinical applications, outcomes, and implications of generative artificial intelligence in nursing practice.

Design

Integrative review following Whittemore and Knafl's five-stage framework.

Methods

Systematic searches were performed for peer-reviewed articles and book chapters published between 1 January 2018 and 30 June 2025. Two reviewers independently screened titles/abstracts and full texts against predefined inclusion/exclusion criteria focused on generative artificial intelligence tools embedded in nursing clinical workflow (excluding nursing education-only applications). Data were extracted into a standardised matrix and appraised for quality using design-appropriate checklists. Guided by Whittemore and Knafl's integrative review framework, a constant comparative analysis was applied to derive the main themes and subthemes.

Data Sources

CINAHL, MEDLINE, and Embase.

Results

Included literature was a representative mix of single-group quality improvement pilots, mixed-method usability and feasibility studies, randomised controlled trials, qualitative descriptive and phenomenological studies, as well as preliminary and proof-of-concept observational research. Four overarching themes emerged: (1) Workflow Integration and Efficiency, (2) AI-Augmented Clinical Reasoning, (3) Patient-Facing Communication and Education, and (4) Role Boundaries, Ethics and Trust.

Conclusion

Generative artificial intelligence holds promise for enhancing nursing efficiency, supporting clinical decision making, and extending patient communication. However, consistent human validation, ethical boundary setting, and more rigorous, longitudinal outcome and equity evaluations are essential before widespread clinical adoption.

Implications for the Profession and Patient Care

Although generative artificial intelligence could reduce nurses' documentation workload and routine decision-making burden, these gains cannot be assumed. Safe and effective integration will require rigorous nurse training, robust governance, transparent labelling of AI-generated content, and ongoing evaluation of both clinical outcomes and equity impacts. Without these safeguards, generative artificial intelligence risks introducing new errors and undermining patient safety and trust.

Reporting Method

PRISMA 2020.

Summary of the Best Evidence for Weaning From Mechanical Ventilation in Neurocritical Care Patients

ABSTRACT

Aim

The best evidence on programmed weaning from mechanical ventilation in neurocritical care patients should be gathered, evaluated, and integrated to provide an evidence basis for determining the optimal weaning program for these patients.

Methods

According to the ‘6S’ pyramid model of evidence-based practice resources, Chinese and international guideline websites, websites of relevant professional societies, and Chinese and English databases were systematically searched. The databases were searched from the time of establishment to October 2024. Literature screening was subsequently performed according to the inclusion and exclusion criteria. Two researchers independently evaluated the literature quality and extracted and summarised the evidence.

Results

A total of 21 publications were included, including 3 guidelines, 5 expert consensus papers, 1 evidence summary, and 12 systematic reviews. A total of 29 pieces of best evidence in the following 5 aspects were summarised: preweaning preparation and screening, a weaning protocol, extubation assessment, extubation preparation and procedure, and postextubation management.

Conclusions

This study summarises the best evidence for the programmed weaning of neurocritical care patients from mechanical ventilation and provides a basis for clinical medical personnel to standardise this weaning process. Evidence-based application of these strategies should be implemented to verify their clinical efficacy and safety in practice.

Implications for Clinical Practice

Successful weaning is key in the management of neurocritical care patients receiving mechanical ventilation. The establishment of a localised extubation protocol guided by a multidisciplinary team can significantly reduce the extubation failure rate, the duration of mechanical ventilation and the incidence of related complications. However, evidence-based application is needed to verify the efficacy and safety of these strategies in clinical practice.

Reporting Method

This evidence review adhered to the evidence review report guidelines formulated by the Evidence-Based Nursing Center of Fudan University. These guidelines cover aspects such as problem establishment, literature search, literature screening, literature evaluation, evidence summary and classification, as well as the formulation of practical suggestions. This evidence summary followed the evidence summary reporting specifications of the Fudan University Center for Evidence-Based Nursing (http://ebn.nursing.fudan.edu.cn) with registration number ES20244849.

Trial Registration

This study was based on the evidence summary reporting specifications of the Fudan University Center for Evidence-based Nursing; the registered name is ‘Summary of the best evidence for weaning from mechanical ventilation in neurocritical care patients’; the registration number is ES20231823

Nurses' Experiences of Mental Health Care in the Emergency Department: An Integrative Review

ABSTRACT

Aim

To critically synthesise current literature on the nurses' experiences in providing care for people presenting with mental health issues to the emergency department (ED).

Background

Mental health-related presentations to EDs are increasing. Understanding nurses' experiences of providing care for this patient group will inform future strategies to enhance the care delivered in the ED.

Methods

CINAHL, MEDLINE, APA PsycInfo and Psychology and Behavioural Sciences Collection were searched from 2009 to 2024 for peer-reviewed qualitative papers exploring emergency nurses' perspectives of providing care for people with mental health issues, published in the English language. Quality was appraised using the JBI Critical Appraisal tool. This review follows the PRISMA checklist for reporting.

Results

Nine papers, reporting eight studies, were included in the review. Three themes emerged: attitudes towards mental illness, education limitations impacting confidence and structural barriers impacting care quality. The review reveals a disconnect between nurses' compassionate intentions and barriers such as unconscious stigma and prioritising physical illness over mental health concerns. The findings highlight the need for targeted mental health education to enhance ED nurses' confidence and competence. Inadequate local mental health policies also impact care delivery, contributing to suboptimal patient outcomes.

Conclusion

This review provides a deeper understanding of ED nurses' experiences of caring for people with mental health issues. A need to implement a multifaceted approach to mental health education, clear policies to guide care delivery and systems that promote prioritisation of patients presenting with mental health concerns was identified.

Implications for the Profession and/or Patient Care

Insights into nurses' experiences can shape future ED practices and enhance outcomes for patients. Building ED nurses' capacity to deliver high-quality mental health care is critical.

Patient or Public Consultation

As a review paper, no patient or public consultation took place.

❌