Heat Exposure & Adaptation Tools – Protecting vulnerable groups
- India
- In Progress
- October 2023 – September 2027
- Multi-Sectoral Interventions / Empowering people & Communities / RCS / Community Engagement Initiatives


Heatwaves affect human health1, and India is especially vulnerable to them due to its high population density, inadequate healthcare access, and climate change vulnerability. The 2022 Indian heatwaves were 30 times more likely due to climate change2. Heat action plans and early warning systems are needed, especially in low- and middle-income nations where climate change is expected to increase morbidity and death3. Heat Action Plans (HAPs)4 are being implemented in India by the nation’s government and in collaboration with the stakeholders. These HAP measures can reduce community and vulnerable working population mortality.
This study aims to co-produce, co-implement, and assess multi-sectoral, co-designed PHC-embedded adaptation interventions to prevent and manage heat stress and related illnesses in high-risk communities and workplaces in Andhra Pradesh.
Our transdisciplinary research follows the 2021 Medical Research Council (MRC) guidance for creating and evaluating complex interventions5 and comprises the following steps:
This phase will examine community-level Heat Action Plans (HAP) intervention technologies, expand SMARThealth (Systematic Medical Appraisal, Referral, and Treatment) to collect HEAT-PROTECT data in India, and quantify the impact of heat exposure on NCD incidence, morbidity, and mortality in vulnerable rural populations.
Interventions will be co-designed, baseline data collected, feasible, effective, adoptable, and acceptable interventions identified using UK MRC guidelines, and decision- makers consulted before piloting them using a “Plan-Do-Study-Act” (PDSA)
process.
The synthesis of data involves analysis. The population prevalence component of the study will use descriptive statistics, reporting categorical variables as proportions and continuous variables as means and standard deviations. Participatory methods and experiential knowledge sharing are planned.
The present study is expected to provide the following benefits.