Skip to content
#data science Open access

Nursing intervention strategies and outcome measures for sexual health in patients with prostate cancer: a scoping review protocol

Oct 2026 · Research Square
Cancer survivorship and care

Abstract

Abstract Introduction Prostate cancer and its treatments can affect multiple dimensions of sexual health, extending beyond erectile function to sexual desire, orgasm, sexual satisfaction, body image, intimacy and relational well-being. Nurses are well positioned to assess these concerns and provide continuing educational, rehabilitative, psychological and relationship support. However, nursing intervention strategies and their outcome measures remain heterogeneous and have not been comprehensively mapped. This scoping review aims to identify, describe and map nursing intervention strategies for sexual health among men with prostate cancer and the outcome measures used to evaluate them. Methods and analysis The primary research question is: What nursing intervention strategies for sexual health among men with prostate cancer have been reported, and how have their outcomes been measured? The review will follow the Joanna Briggs Institute methodology for scoping reviews, with eligibility criteria defined using the Participants, Concept and Context framework. Randomised controlled trials, non-randomised controlled studies and eligible intervention protocols with an identifiable nursing component will be considered. PubMed, Embase, CINAHL, PsycINFO, Web of Science Core Collection and CENTRAL will be searched from inception to the final search date without language restrictions. Reference-list screening and forward citation searching will supplement database searches. Two reviewers will independently screen sources and extract data using a pilot-tested form, with disagreements resolved through discussion or consultation with a third reviewer. Intervention strategies, outcome domains and measurement instruments will be systematically coded, classified and summarised using tables, charts and narrative synthesis. No formal risk-of-bias assessment will be conducted. Ethics and dissemination This review will use information exclusively from publicly available literature and will not involve human participants, personal data or biological specimens; therefore, ethics approval and informed consent are not required. Findings will be disseminated through publication in an international peer-reviewed open-access journal and presentation at conferences. Clinical trial number : Not applicable.

View source

Similar papers

#computer vision Review Sep 2017

Agile Software Development Methods: Review and Analysis

This publication proposes a definition and a classification of agile software development approaches and analyses ten software development methods that can be characterized as being "agile" against the defined criterion.

P. Abrahamsson, O. Salo, Jussi Ronkainen et al. · 727 citations · ⚡54
#computer vision Jun 2008

The impact of agile practices on communication in software development

The study shows that agile practices improve both informal and formal communication, but indicates that, in larger development situations involving multiple external stakeholders, a mismatch of adequate communication mechanisms can sometimes even hinder the communication.

M. Pikkarainen, Jukka Haikara, O. Salo et al. · 401 citations · ⚡48
#machine learning Review Open access Oct 2014

Software development in startup companies: A systematic mapping study

The results indicate that software engineering work practices are chosen opportunistically, adapted and configured to provide value under the constrains imposed by the startup context.

Nicolò Paternoster, Carmine Giardino, M. Unterkalmsteiner et al. · 394 citations · ⚡54

Trajectory Balance: Improved Credit Assignment in GFlowNets

It is proved that any global minimizer of the trajectory balance objective can define a policy that samples exactly from the target distribution, and empirically demonstrate the benefits of the trajectories balance objective for GFlowNet convergence, diversity of generated samples, and robustness to long action sequenc...

Esmeralda S. Whitammer, Moksh Jain, Emmanuel Bengio et al. · 302 citations · ⚡60

Related blog posts

Microsoft Research Blog Oct 6, 2026

What AI gets wrong and what failure teaches us

Jennifer Neville did not want to go into computer science—but that’s exactly where she landed. Neville discusses the starts and stops that led to her professional sweet spot and her work identifying “surprising failures” making it hard for AI to handle complexity.  The post What AI gets wrong and what failure teaches us appeared first on Microsoft Research.

We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.