Conectar
This study aims to understand Saudi women's experiences of sexual and relational changes during the menopause transition.
A qualitative, Interpretative Phenomenological Analysis study.
Sixteen Saudi women aged 45–57 who had experienced natural menopause transition were purposively selected and interviewed using semi-structured interviews between December 2022 and March 2023. The interviews were recorded and transcribed verbatim. Participants were recruited from several sites, including hospitals, gender-segregated schools employing female staff, and social media channels. The data were analysed using Interpretative Phenomenological Analysis.
Three group experiential themes were identified from the data. These included ‘The intimate relationship while going through menopause’, which explores women's experiences of intimate relationships shaped by biological and hormonal changes, cultural and social expectations, and psychological influences; ‘Perceived attractiveness and self-confidence’, which describes how physical signs of ageing impact women's body image and self-confidence; and ‘Managing the sexual changes during the menopause transition’, which highlights varied coping strategies and attitudes toward seeking support for sexual changes during menopause.
Healthcare systems in Saudi Arabia must provide comprehensive menopausal care and train nurses and healthcare providers to consider women's sexual difficulties from a biopsychosocial perspective. Raising Saudi women's awareness of menopausal and sexual issues, as well as mitigating society's stereotypes, is crucial for empowering them to seek help.
Understanding how menopausal women experience sexual and relational changes during their menopause transition is crucial for nurses, as it enables them to provide appropriate care that supports both physical and emotional well-being. As nurses recognise these experiences, they can offer guidance, reduce stigma, and enhance women's quality of life.
The study adhered to the Consolidated Criteria for Reporting Qualitative Research.
No Patient or Public Involvement.
Since the 1970s, telemedicine has transformed significantly, becoming a critical component of modern healthcare delivery. Over time, technological innovation has increasingly emphasised the integration of the human body with digital systems to develop non-invasive methods for monitoring physiological parameters. Among these technologies, wearable sensors demonstrate substantial potential for continuous patient monitoring. These devices can facilitate real-time data collection, enable more rapid clinical decision-making and promote active patient participation in health management. Such capabilities are particularly valuable in emergency contexts, including prehospital care provided by ambulance services and telephone triage systems. Despite the growing interest in wearable health technologies, their integration into emergency medical services (EMS) remains insufficiently explored and warrants further investigation. We aim to map current research, explore the use of wearables in EMS settings and identify gaps in knowledge regarding their use in EMS.
This scoping review will follow the Joanna Briggs Institute’s (JBI) methodology for scoping reviews. A systematic search of relevant databases (MEDLINE, EMBASE, Cochrane Library, CINAHL, ProQuest and Web of Science) will be conducted, from inception to March 2026. All types of study designs, including quantitative and qualitative studies, will be considered in this scoping review. The inclusion is limited to studies published in English. Two independent reviewers (RA and AA) will conduct a thorough screening of titles and abstracts against the predefined inclusion criteria. Studies that meet the inclusion criteria will be reviewed in full text. Quality and risk of bias will be assessed using the JBI’s critical appraisal tools for the relevant study types. The findings will be presented using diagrams or tables, supplemented by narrative summaries following the JBI guidelines.
Ethical approval is not required. The findings of this study will be disseminated via publication in a peer-reviewed journal.
Open Science Framework (10.17605/OSF.IO/MUEFX).
To explore how neonatal nurse leaders sustain human-centred care while implementing digital technologies in neonatal intensive care units (NICUs).
Qualitative descriptive multi-site study across four NICUs in the Eastern Region of Saudi Arabia (November 2024–May 2025), reported in accordance with COREQ.
Purposive maximum-variation sampling recruited 24 neonatal nurse leaders across leadership levels, hospital types and digital maturity stages. Semi-structured interviews were conducted in Arabic or English, transcribed, translated as needed and thematically analysed in NVivo 14 using a hybrid inductive–deductive approach. Directed content analysis of key organisational documents enabled triangulation. Trustworthiness was supported through member checking, peer debriefing, audit trail, external review and double coding of a subset of transcripts.
Four interrelated strategies were identified: (1) embedding a values-based human-centred vision; (2) selecting and customising digital tools to strengthen, not replace, nurse–family connection; (3) redesigning workflows (e.g., device-free openings, protected presence time, family-inclusive portals) to preserve presence and partnership; and (4) fostering team capability and psychological safety for digital–human integration.
Human-centred care in digital NICUs is intentionally led and structurally engineered. The study offers a practice-ready framework that translates values into reproducible routines within complex sociotechnical systems.
The framework supports nurse leaders in aligning digital transformation with family-centred care, protecting nurse–family presence, and enhancing safety, trust and partnership for high-risk neonates.
Addresses risks of relational erosion in digital and AI-enabled NICUs and provides transferable nurse-led strategies to sustain ethical, family-centred practice.
COREQ-compliant qualitative study.
No Patient or Public Contribution.
FreshRSS 