Evidence map›Paper›PMID 41647846›Full record

ReviewThe journal of climate change and health

Climate-related stressors, community healthcare systems, and adaptation strategies: A scoping review.

Sonyta Saad, Chrisgone Adede, David Citrin, Beatrice Wasunna, Mourice Barasa, Krishna Jafa, Kristie L Ebi

Abstract readReview
In one paragraph

Review in The journal of climate change and 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

7 authors.

Sonyta SaadCenter for Health and the Global Environment (CHanGE), University of Washington, Seattle, WA, USA.
Chrisgone AdedeMedic Inc, Hekima University College, Riara Lane, off Riara Road, Nairobi, Kenya.
David CitrinMedic Inc, Fillmore St, San Francisco, USA.
Beatrice WasunnaMedic Inc, Hekima University College, Riara Lane, off Riara Road, Nairobi, Kenya.
Mourice BarasaMedic Inc, Hekima University College, Riara Lane, off Riara Road, Nairobi, Kenya.
Krishna JafaMedic Inc, Fillmore St, San Francisco, USA.
Kristie L EbiCenter for Health and the Global Environment (CHanGE), University of Washington, Seattle, WA, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Climate-related stressors are a global challenge with effects extending far beyond the environment, significantly impacting the provision of healthcare services, especially in the African and Asian countries selected for examination in this scoping review. Climate-related stressors are expected to significantly increase health risks in these countries, continuing to disproportionately affect vulnerable groups. Methods: We conducted a scoping review to identify, select, and synthesize relevant literature on climate-related vulnerability factors, exposure pathways and interventions in the geographic regions where the nonprofit organization Medic (www.medic.org) operates. We also reviewed published literature that explored the use of Artificial Intelligence (AI) as a potential tool for community health systems to adapt to and mitigate climate-sensitive health outcomes.We searched PubMed, Google Scholar, Scopus, and Web of Science. Results: The search generated 3184 studies available in English since 2000. Overall, 96 studies were screened for inclusion, resulting in 30 studies selected for the review, including 4 reports and articles from gray literature. Overall, the review identified critical gaps in the literature on community-level health interventions to reduce climate-sensitive health risks. Discussion: The current literature is skewed toward community perception of climate-sensitive health outcomes and adaptation challenges faced by the health system. Results similarly revealed gaps in published literature on adaptation interventions in community health, and healthcare delivery more broadly, that employ AI.There remains a need for more evidence on the potential use of AI for future interventions to address the growing threat of climate variability to community healthcare and climate-sensitive health outcomes.

Indexed as

Artificial intelligenceClimate changeClimate-related stressorsClimate variabilityExtreme weather community healthLmicsMachine learning

Identifiers

PMID41647846
PMCPMC12851238

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.