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Record W4413903386 · doi:10.1016/j.ssmhs.2025.100130

Community health worker contributions to climate resilient health systems: A qualitative study of how community health workers navigate extreme weather events in the Philippines

2025· article· en· W4413903386 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueSSM - Health Systems · 2025
Typearticle
Languageen
FieldEnvironmental Science
TopicClimate Change and Health Impacts
Canadian institutionsUniversity of TorontoUniversity of Waterloo
FundersSocial Sciences and Humanities Research CouncilWorld Health Organization
KeywordsCommunity healthExtreme weatherCommunity health workersHealth workerQualitative researchEnvironmental healthClimate changeEnvironmental planningEnvironmental resource managementGeographySociologyEnvironmental sciencePublic healthHealth servicesEcologyMedicineSocial scienceNursing

Abstract

fetched live from OpenAlex

Community health workers (CHWs) are an important source of health-related support and care across many resource-constrained settings. However, amid the increasing frequency and intensity of extreme weather events globally, there is a need to understand how CHWs may experience and navigate these events, and consider potential opportunities to strengthen their contributions to climate resilient health systems. This study explored the experiences of CHWs before, during, and after extreme weather events to examine how their identities, existing responsibilities, and perceived capacity shaped their ability to contribute towards preparedness, response, and recovery efforts in their communities. In collaboration with a Philippines-based non-governmental organization (NGO), we conducted 51 semi-structured interviews with CHWs affiliated with an NGO-led CHW program across four municipalities in Negros Oriental, Philippines. All interviews were audio-recorded, transcribed, and thematically analyzed using a hybrid deductive-inductive approach. Participants described how the various roles and responsibilities they held within and outside of their household shaped their engagement with preparedness, response, and recovery to extreme weather events. Importantly, participants highlighted opportunities to enhance their contributions to preparedness, response, and recovery efforts in their communities. Further, participants discussed how additional training and material resources could be leveraged to enhance preparedness to and recovery from extreme weather events in their communities. Overall, this study provides insight into how CHWs may contribute to climate resilient health systems amid extreme weather events, and underscores the complexities of recognizing CHWs as both health leaders and community members in disaster risk management practices. • Community health workers are a key source of support amid extreme weather events. • Community health workers demonstrated a motivation and capacity to provide support. • Community health workers are both health leaders and community members themselves. • Capacity to provide support was shaped by roles and responsibilities in communities.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.040
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.262
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0400.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0000.003
Science and technology studies0.0040.000
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.143
GPT teacher head0.451
Teacher spread0.308 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it