Evidence map›Paper›PMID 39878913›Full record

ArticleJournal of nephrology2025

Assessing the role of education level on climate change belief, concern and action: a multinational survey of healthcare professionals in nephrology.

Shaifali Sandal, Ugochi Onu, Winston Fung, Maria Pippias, Brendan Smyth, Letizia De Chiara, Divya Bajpai, Workagegnehu Hailu Bilchut, Ehab Hafiz, Dearbhla M Kelly and 3 more

Abstract read
PubMed Publisher
In one paragraph

Article in Journal of nephrology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
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

13 authors.

Shaifali SandalDivisions of Nephrology and Experimental Medicine, Department of Medicine, McGill University Health Centre, Montreal, QC, Canada. shaifali.sandal@mcgill.ca.ORCID http://orcid.org/0000-0003-1941-0598
Ugochi OnuDepartment of Medicine, University of Nigeria Teaching Hospital Enugu, Ituku-Ozalla, Enugu, Nigeria.
Winston FungDepartment of Medicine & Therapeutics, Prince of Wales Hospital, The Chinese University of Hong Kong, Hong Kong SAR, China.
Maria PippiasBristol Medical School: Population Health Sciences, University of Bristol, Bristol, UK.
Brendan SmythNHMRC Clinical Trials Centre, The University of Sydney, Camperdown, Australia.
Letizia De ChiaraDepartment of Biomedical, Experimental and Clinical Sciences "Mario Serio", University of Florence, Florence, Italy.
Divya BajpaiDepartment of Nephrology, Seth G.S.M.C. and K.E.M. Hospital, Mumbai, India.
Workagegnehu Hailu BilchutDepartment of Internal Medicine, University of Gondar, Gondar, Ethiopia.
Ehab HafizClinical Laboratory Division, Theodor Bilharz Research Institute, Giza, Egypt.
Dearbhla M KellyOxford Critical Care, John Radcliffe Hospital, Oxford, UK.
Peace BagashaInternal Medicine, Mulago National Referral Hospital and College of Health Sciences, Department of Internal Medicine, Makerere University, Kampala, Uganda.
Vivekanand JhaThe George Institute for Global Health, UNSW, New Delhi, India.
Isabelle EthierDivision of Nephrology, Department of Medicine, Centre Hospitalier de l'Université de Montréal, Montreal, QC, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundClimate change poses a significant risk to kidney health, and countries with lower national wealth are more vulnerable. Yet, citizens from lower-income countries demonstrate less concern for climate change than those from higher-income countries. Education is a key covariate. To examine its role in explaining this perception gap, we obtained the perspectives of a highly educated cohort of healthcare professionals.

methodsThis was a cross-sectional survey of healthcare professionals involved in kidney care. Responses were compared by the income level of the participant's country (per World Bank).

resultsOf the 849 healthcare professionals from 107 countries (63.4% from lower and middle-income countries) that participated, most believed climate change was happening (97.9%), displayed a high level of concern (73.3%), and took personal action to combat climate change (62.0%). While the proportion who believed in climate change did not vary by income level (high:98.1%, upper-middle:97.2%, lower-middle:97.8%, low:100%, p = 0.73), the proportion with a higher level of concern (high:80.7%, upper-middle:74.9%, lower-middle:67.5%, low:53.8%, p < 0.001), and who took climate action (high:76.2%, upper-middle:63.1%, lower-middle:51.2%, low:30.8%, p < 0.001) decreased by national wealth. Barriers to involvement in sustainable kidney care were lack of time (54.4%), knowledge (39.7%), and peer support (30.3%). Only 34.0% were aware of national mitigation plans and barriers related to finances, technologies, tools, methods, research, and evidence were perceived as greater obstacles in lower-income countries.

conclusionsOur results highlight that predictors and correlates of climate change risk perception vary across countries. Education alone is unlikely to increase individual and group engagement in climate change. A better understanding of these factors can inform strategies towards climate action in different settings.

Indexed as

Attitude of Health PersonnelClimate ChangeEducational StatusHealth Knowledge, Attitudes, PracticeHealth PersonnelNephrologyAdultCross-Sectional StudiesDeveloping CountriesFemaleHumansIncomeMaleMiddle AgedSurveys and QuestionnairesClimate changeComparative analysisEnvironmentally sustainable nephrologyHealthcare professionalsIncome level

Identifiers

PMID39878913

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.