Evidence map›Paper›PMID 42835669›Full record

ArticlePublic health reviews2026

Public health nurse advocacy as essential for addressing the health impacts of climate change.

Salimah R Walani, Shahin Kassam, Zahra Shajani, Aliyah Dosani

Abstract read
In one paragraph

Article in Public health reviews, 2026. 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

4 authors.

Salimah R WalaniSchool of Nursing and Midwifery, Aga Khan University, Karachi, Pakistan.
Shahin KassamFaculty of Health and Social Development, School of Nursing, The University of British Columbia Okanagan, Kelowna, BC, Canada.
Zahra ShajaniUniversity of Calgary, Calgary, AB, Canada.
Aliyah DosaniSchool of Nursing and Midwifery, Faculty of Health, Community and Education, Mount Royal University, Calgary, AB, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Climate change is transforming the environmental, social and structural determinants of health, intensifying inequities across populations and geographies. Although nurses are at the forefront of addressing climate-related health impacts, nurses' influence on climate policy remains significantly underleveraged. Strengthening the leadership and advocacy of nurses is essential for meeting the escalating population health challenges posed by climate change. Analysis: There is limited organized advocacy for climate action by public health nurses. At the 7th Global Network of Public Health Nursing (GNPHN) Conference, we invited nurses from diverse backgrounds to share their perspectives on climate-related research, practice, and policy. Policy Options: The participants agreed to form a global coalition to enhance climate advocacy by public health nurses. Here, we outline four key calls to action emerging from conference discussion: (1) building inclusive research through transdisciplinary collaboration, (2) dismantling inequities by integrating gender and race into climate governance, (3) promoting language consistency through intersectional and equity-oriented frameworks, and (4) integrating climate change content into nursing education. Conclusion: GNPHN conference mobilised public health nurses, creating a platform and transforming awareness into collective action by outlining four calls to action for advancing climate action and advocacy by nurses.

Indexed as

advocacycall to actionclimate actionpolicy analysispublic health nursing

Identifiers

PMID42835669
PMCPMC13636898

What OpenQuestion holds

Textmetadata
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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.