Evidence map›Paper›PMID 42719475›Full record

ReviewDigital health

Digital health nursing in male infertility: Leadership, workforce, and policy pathways for equitable care.

Mehrdad Abdullahzadeh

Abstract readReview
In one paragraph

Review in Digital health. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

1 author.

Mehrdad AbdullahzadehDepartment of Nursing, Faculty of Medical Sciences, Tarbiat Modares University, Tehran, Iran.ORCID https://orcid.org/0000-0003-3619-038X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Digital health technologies are reshaping reproductive care, yet their application to male infertility-an area marked by stigma, delayed help-seeking, and structural invisibility-remains underdeveloped. This narrative review synthesizes literature from 2018-2025 to examine how tele-nursing, mobile health, artificial intelligence, and digitally mediated peer support can strengthen access, privacy, and engagement for men experiencing infertility. A structured search of PubMed, CINAHL, Scopus, and Google Scholar identified 67 relevant sources, which were synthesized across four domains: digital innovation, masculinity and stigma, workforce readiness, and governance gaps. Findings show that digital health offers meaningful opportunities to reduce barriers to care but also carries risks-including algorithmic bias, misinformation, and unequal digital access-that may reinforce existing inequities without intentional oversight. To address these tensions, the Nursing Leadership Mediation Model is proposed, integrating sociotechnical, workforce, and policy perspectives to position nurse leaders as mediators who align digital innovation with ethical, equitable implementation. Advancing digital health in male infertility care will require strengthened digital competencies, culturally responsive practice, and explicit policy inclusion to ensure that emerging technologies support-not marginalize-men's reproductive health needs.

Indexed as

artificial intelligence in healthcaredigital healthhealth equitymale infertilitynursing leadershipreproductive health policytele-nursingworkforce development

Identifiers

PMID42719475
PMCPMC13554684

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.