The journal of climate change and health最新文献

{"title":"Health system strategies for adaptation to drought: A global scoping review","authors":"Ahmadreza Khosravifar,&nbsp;Hamidreza Aghababaeian,&nbsp;Ali Bakhtiyari,&nbsp;Mohammad Esmaeil Motlagh,&nbsp;Ali Asgary,&nbsp;Carolyn Stephens,&nbsp;Forozan Bahari Babadi,&nbsp;Fateme Yazdi,&nbsp;Abbas Ostadtaghizadeh","doi":"10.1016/j.joclim.2026.100742","DOIUrl":"10.1016/j.joclim.2026.100742","url":null,"abstract":"<div><h3>Introduction</h3><div>Drought poses substantial risks to population health and to the capacity, continuity, and performance of health systems. This scoping review aimed to systematically identify, map, and categorize the available evidence on health-system adaptation strategies for drought and to highlight major gaps in the evidence base.</div></div><div><h3>Methods</h3><div>Following JBI guidance for scoping reviews and the PRISMA-ScR reporting guideline, Web of Science, PubMed, Scopus, Google Scholar, and selected gray-literature sources were searched without date restrictions up to March 2025. Two reviewers independently screened records and full-text sources against predefined eligibility criteria. Data were charted using a standardized form and analyzed through inductive qualitative content analysis and thematic categorization. Critical appraisal was conducted to describe the methodological characteristics of the included evidence and support cautious interpretation; appraisal findings were not used as exclusion criteria.</div></div><div><h3>Results</h3><div>Of the 7,334 records identified, 36 evidence sources met the eligibility criteria and were included. The evidence base comprised peer-reviewed studies and reviews, a book chapter, an institutional report, and gray-literature documents. Thematic categorization identified ten domains: assessment and monitoring; mental health and social support; water-resource management; food security and agriculture; health-infrastructure resilience; intersectoral coordination and governance; education and awareness; emergency response and crisis management; innovation and technology; and economic support and policy.</div></div><div><h3>Conclusion</h3><div>This review provides a structured map of reported health-system adaptation strategies for drought and demonstrates the breadth and multidimensional nature of the available evidence. However, evidence regarding implementation, effectiveness, scalability, and applicability in low-resource settings remains limited.</div></div>","PeriodicalId":75054,"journal":{"name":"The journal of climate change and health","volume":"31 ","pages":"Article 100742"},"PeriodicalIF":4.5,"publicationDate":"2026-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148953255","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Stakeholder collaboration in digital climate-health platforms: Mapping patterns across international case studies","authors":"Razieh Rezabeigisani,&nbsp;Sören Becker","doi":"10.1016/j.joclim.2026.100744","DOIUrl":"10.1016/j.joclim.2026.100744","url":null,"abstract":"<div><h3>Introduction</h3><div>Digital climate-health platforms are web, mobile or dashboard-based architectures that link climate, environmental, health and socio-economic data to make climate-related health risks visible and actionable. This study maps stakeholder collaboration patterns in international platforms, focusing on who contributes, how collaboration is organized, and how platform-specific features shape inclusion, decision-making and use across varied institutional contexts.</div></div><div><h3>Methods</h3><div>We employed a sequential mixed-method design combining internet-based scoping, survey responses and 22 semi-structured interviews across 20 projects. Survey data were analyzed descriptively, and interview material was coded inductively to construct ideal-type collaboration patterns. Findings were triangulated with project documents and platform information to identify stakeholder roles, collaboration mechanisms and case-level pattern assignments.</div></div><div><h3>Results</h3><div>Digital climate-health platforms involved developers, governments, international agencies, researchers, industry partners, community organizations and end-users. Five ideal-types were identified: central coordination, hierarchical distribution, network-based distribution, iterative co-evolution, and co-leadership. These patterns were not mutually exclusive; each case was assigned to a dominant pattern while secondary features were recorded. Collaboration was shaped by authority over data access, indicators, models, interfaces, feedback interpretation, implementation and post-launch maintenance.</div></div><div><h3>Conclusion</h3><div>The findings show that collaboration in digital climate-health platforms is both a platform design and a governance issue. Centralized and hierarchical arrangements provide accountability, continuity and authoritative communication but limit end-user influence. Network-based, iterative, and co-leadership arrangements can widen participation and responsiveness, yet they do not automatically constitute co-production. The findings point to the importance of clarifying decision rights, embedding co-design, and evaluating who can influence data, models, interfaces and use.</div></div>","PeriodicalId":75054,"journal":{"name":"The journal of climate change and health","volume":"31 ","pages":"Article 100744"},"PeriodicalIF":4.5,"publicationDate":"2026-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148940879","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The impact of climate change on maternal and child health outcomes in sub-Saharan Africa: A five-year (2020–2024) scoping review","authors":"Oluwaseun Fadeyi,&nbsp;Uchenna Igbokwe,&nbsp;Idongesit Sampson,&nbsp;Oluwafunmilayo Raheem,&nbsp;Ernest Ezeogu,&nbsp;Yusra Omidiran,&nbsp;Oluwasegun Adetunde,&nbsp;Eric Aigbogun Jr","doi":"10.1016/j.joclim.2026.100723","DOIUrl":"10.1016/j.joclim.2026.100723","url":null,"abstract":"<div><h3>Introduction</h3><div>In sub-Saharan Africa, climate change presents considerable threats to the health and well-being of women of reproductive age and children under 5 years. Some documented impacts include pregnancy complications, irregular breastfeeding, malnutrition, stunting, wasting, and diminished access to healthcare. While significant scholarly efforts have explored these outcomes, regional understanding of impacts remains vague.</div></div><div><h3>Methods</h3><div>A systematic search of peer-reviewed and grey literature was conducted across four databases and search engines: Web of Science, PubMed, Google Scholar, and Scopus. Inclusion criteria required documents to be focused on sub-Saharan Africa, address the intersection of climate change and health, and report specific health outcomes. Selected studies were thematically analysed to identify and synthesise evidence-based mitigation strategies.</div></div><div><h3>Results</h3><div>51 documents met the inclusion criteria. Climatic impacts including excessive or low rainfall, flooding, temperature fluctuations, heat waves, droughts, and tropical cyclones were found to be associated with various health outcomes. Among mothers, these included miscarriage, postpartum haemorrhage, and hypertensive disorders, while in children, impacts were linked to preterm birth, stillbirth, neonatal mortality, low birth weight, and malnutrition. Furthermore, climate change was found to impact access to healthcare across both populations in sub-Saharan Africa.</div></div><div><h3>Conclusion</h3><div>Our findings underscore the need for regional integration in the planning and implementation of interventions to mitigate climate change impacts on maternal and child health. While acknowledging context-specific health outcomes due to differences in climate zones, this review offers a roadmap for prioritizing vulnerable populations in public health policy design and decision-making processes.</div></div>","PeriodicalId":75054,"journal":{"name":"The journal of climate change and health","volume":"31 ","pages":"Article 100723"},"PeriodicalIF":4.5,"publicationDate":"2026-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148995910","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Mental health outcomes relating to climate-sensitive extreme weather events: A scoping review of measures of mental health impact","authors":"Denise Thomson,&nbsp;Meghan Sebastianski,&nbsp;Katie O’Hearn,&nbsp;Megan Nuspl,&nbsp;Sol Bobier,&nbsp;Sami Aftab Abdul,&nbsp;Matt Pearce,&nbsp;Vijendra Ingole,&nbsp;Myer Glickman,&nbsp;Richard J Webster","doi":"10.1016/j.joclim.2026.100743","DOIUrl":"10.1016/j.joclim.2026.100743","url":null,"abstract":"<div><h3>Introduction</h3><div>Climate change is contributing to an increase in frequency and severity of extreme weather events (EWEs), which have a sizable impact on mental health and wellbeing. We sought to comprehensively synthesize measures of mental health impact used in the literature following EWEs.</div></div><div><h3>Materials and methods</h3><div>This scoping review searched eight databases from 2017 to September 2024 to identify primary research studies that measured and reported mental health outcomes following EWEs. We categorized findings to describe a) which EWEs were most heavily studied, b) which mental health outcomes appeared more or less frequently, c) which measures of mental health impact were employed, and d) evidence gaps.</div></div><div><h3>Results</h3><div>We screened 3,689 studies and included 154 studies from 29 countries, 15 (51.7%) of which were low- and middle-income countries. Studies reporting mental health outcomes were most commonly investigating the impact of 11 types of EWEs. We identified 188 mental health outcomes and 130 measures of mental health impact. Mental health outcomes were most commonly evaluated in studies investigating the impact of floods (n = 41), extreme heat/heatwaves (n = 32) and wildfires (n = 28). The most frequently evaluated mental health outcomes were post-traumatic stress disorder (n = 62), depression (n = 39) and anxiety (n = 27). The most commonly used measure of mental health impact was International Classification of Diseases (ICD-10) codes.</div></div><div><h3>Conclusion</h3><div>This scoping review provides a global overview of current reporting practices and supports the need for standardization to enable global comparisons and decision-making.</div></div>","PeriodicalId":75054,"journal":{"name":"The journal of climate change and health","volume":"31 ","pages":"Article 100743"},"PeriodicalIF":4.5,"publicationDate":"2026-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148940837","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Perceptions of the environmental impact of oncology care: A cross-sectional survey of French and Belgian healthcare professionals","authors":"Paul Matte,&nbsp;Pierre-Florent Petit,&nbsp;Anthony Turpin,&nbsp;Caroline Sarre-Pradon,&nbsp;Adrien Rousseau,&nbsp;Marc Hilmi,&nbsp;Sarah Dumont,&nbsp;Pauline Parent,&nbsp;Anne Rullier,&nbsp;Eva Ester Molina-Beltran,&nbsp;Max Piffoux,&nbsp;Matthieu Delaye","doi":"10.1016/j.joclim.2026.100741","DOIUrl":"10.1016/j.joclim.2026.100741","url":null,"abstract":"<div><h3>Background</h3><div>Health care is a major contributor to greenhouse gas emissions; however, the specific environmental burden of oncology is poorly characterized. This study aimed to assess oncology healthcare professionals’ perceptions of the environmental impact of their clinical practice.</div></div><div><h3>Methods</h3><div>We conducted an anonymous, cross-sectional survey between January and April 2025 among oncology healthcare professionals in France and Belgium. A 23-item questionnaire was developed by a multidisciplinary team and administered via professional networks, oncology societies, and social media. The survey assessed perceptions of oncology’s environmental impact, attitudes toward sustainable practices, and willingness to modify clinical decisions when supported by scientific evidence.</div></div><div><h3>Results</h3><div>Among 330 respondents (73% women; median age, 39 years), 32% were medical oncologists, 25% nurses, 8% advanced practice nurses, and 35% other professionals involved in cancer care. Respondents mainly worked in comprehensive cancer centers (45%) or university hospitals (29%). Two-thirds perceived oncology as having a greater negative environmental impact than other medical specialties. Ranked from most to least impactful, the main perceived sources of environmental burden were chemotherapy, biotherapy, radiotherapy, imaging, and patient transport. The integration of environmental considerations into clinical decision-making was low (mean score 8.3/100, SD 14.9), and institutional efforts to reduce impact were perceived as insufficient (mean 15.3/100, SD 20.7). Almost all respondents (97.7%) were willing to implement lower-impact strategies if supported by equivalence data regarding efficacy.</div></div><div><h3>Conclusion</h3><div>Oncology professionals in France and Belgium recognize that the environmental footprint of cancer care is insufficiently addressed. They express a strong willingness to adapt their practice toward more sustainable models, provided scientific validation exists. Integrating environmental criteria into oncology decision-making and research frameworks will be important for the future sustainability of cancer care.</div></div>","PeriodicalId":75054,"journal":{"name":"The journal of climate change and health","volume":"31 ","pages":"Article 100741"},"PeriodicalIF":4.5,"publicationDate":"2026-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148940836","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Environmental impact of urine analyses: Comparison of manual, semi and fully automated analytical workflows","authors":"Julien Brunier,&nbsp;Clara Mourgues,&nbsp;Fanny Auger,&nbsp;Gérard Lina,&nbsp;François Vandenesch,&nbsp;Céline Ramanantsoa,&nbsp;Olivier Dauwalder","doi":"10.1016/j.joclim.2026.100737","DOIUrl":"10.1016/j.joclim.2026.100737","url":null,"abstract":"<div><h3>Objectives</h3><div>Urinary tract infection is the most common infection requiring urinalysis (UA). Due to economical constraints, many laboratories have merged to use full laboratory automation instruments for high volume of urine samples. However, the environmental impact (EI) of UA is still unknown, particularly according to automation levels. The present study aimed to document the environmental impact of UA for the first time.</div></div><div><h3>Methods</h3><div>We used the life cycle assessment (LCA) methodology (ISO 14040/44, 2006) to compare manual, semi-automated and fully-automated analytical workflows for <em>Escherichia coli</em> UA (ECUA) including cytology, isolation, and antibiotic susceptibility tests (AST). Using a multicenter approach, we measured midpoints and endpoints levels defined by the impact assessment method ReCiPe 2016.</div></div><div><h3>Results</h3><div>ECUA carbon footprint was 1.9, 2.6 and 1.1 kgCO2eq using manual, semi-automated and fully-automated workflows respectively. AST processes accounted for 66.8%, 79.0%, and 59.9% of emissions, respectively. The fully-automated workflow had the lowest impact for 12/18 midpoint indicators and had the lowest impact on human health (2.9 × 10–6 disability-adjusted life years (DALY) vs 3.7 × 10–6 for manual and 6.9 × 10–6 for semi-automated workflows). When scaled to 50,000 ECUA/year, the manual workflow had the lowest impact for 10/18 midpoints and human health (3.7 × 10–6 DALY), but its impact remained higher than fully-automated in real conditions.</div></div><div><h3>Conclusions</h3><div>The EI of UA depends on both the automation level and the organizational scale. While automation does not always reduce impacts linearly, full automation offers the best carbon and health performance in high-throughput settings. Integrating LCA into laboratory strategy may support the ecological transition of microbiology.</div></div>","PeriodicalId":75054,"journal":{"name":"The journal of climate change and health","volume":"31 ","pages":"Article 100737"},"PeriodicalIF":4.5,"publicationDate":"2026-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148940835","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Heatstroke admissions to Northeastern and Southern hospitals in the United States from 2016-2020","authors":"Evans K.H. Brown,&nbsp;Scott M. Wright,&nbsp;Che Matthew Harris","doi":"10.1016/j.joclim.2026.100698","DOIUrl":"10.1016/j.joclim.2026.100698","url":null,"abstract":"<div><h3>Background</h3><div>Heatstroke is a life-threatening condition representing the most severe manifestation of heat-related illnesses. Increasing global average temperatures are likely to increase the incidence of heatstroke.</div></div><div><h3>Methods</h3><div>We conducted a retrospective, repeated cross-sectional study, using the National Inpatient Sample (NIS) database. We assessed adults hospitalized in the Northeast and South regions of the United States with ICD-10 codes relating to heatstroke. The primary outcome was the number of monthly regional admissions for heatstroke. Multiple logistic and linear regression techniques were used to evaluate secondary outcomes, specifically in-hospital clinical and resource utilization outcomes.</div></div><div><h3>Findings</h3><div>Over the five years studied (2016-2020), more heatstroke admissions occurred in the South (n=3,880) than in the Northeast (n=960). Patients admitted with heatstroke in the South and Northeast regions had similar odds for in-hospital mortality (aOR=0.84, p=0.79). The length of stay in the South was nearly one day longer than in the Northeast (aMD=0.95 days, p=0.02). There was a trend towards higher charges per heatstroke admission in the South compared to the Northeast (aMD=$16,514, p=0.07). Admission rates were positively associated with increasing average monthly temperatures - even after controlling for region and season (p&lt;0.05).</div></div><div><h3>Interpretation</h3><div>Heatstroke is a serious condition, and admissions to our nation’s hospitals are likely to increase as our planet gets warmer. Many physiologic, societal, and geographic variables impact vulnerability to heat-related illness. Our society and healthcare systems must actively work towards improving care for those with heat-related illnesses.</div></div><div><h3>Funding</h3><div>Not applicable.</div></div>","PeriodicalId":75054,"journal":{"name":"The journal of climate change and health","volume":"30 ","pages":"Article 100698"},"PeriodicalIF":4.5,"publicationDate":"2026-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13316750/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148364006","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Development of a methodology for carbon efficiency in a healthcare system","authors":"Brandon X. Lum,&nbsp;Rebecca Y. Lee,&nbsp;Clarence T. Peck,&nbsp;Ricky Wiryopranoto,&nbsp;Eugene H. Liu","doi":"10.1016/j.joclim.2026.100680","DOIUrl":"10.1016/j.joclim.2026.100680","url":null,"abstract":"<div><h3>Introduction</h3><div>Healthcare systems worldwide contribute significantly to global carbon emissions whilst facing increasing workloads from ageing populations. This creates a challenge of delivering more care while reducing environmental impact. This paper describes the development of a methodology to measure carbon efficiency in healthcare by relating carbon footprint to workload across different care settings.</div></div><div><h3>Case presentation</h3><div>The National University Health System (NUHS) in Singapore developed a workload unit (WLU) methodology to quantify carbon efficiency. Carbon footprints per unit of care were calculated across six care settings, establishing carbon relativity ratios. A polyclinic appointment was assigned one WLU, whilst an acute hospital inpatient day equated to 14.7 WLU based on relative carbon intensity. Total system workload was summated using WLUs, enabling calculation of carbon efficiency as kg CO₂e per WLU.</div></div><div><h3>Discussion</h3><div>The methodology revealed improving carbon efficiency despite increasing absolute emissions from 2020-2023. Carbon per WLU decreased from 16.85 to 16.17 kg CO₂e, indicating effective sustainability measures. Challenges included changing emission factors and resource allocation patterns affecting carbon relativity calculations year-to-year.</div></div><div><h3>Conclusion</h3><div>This methodology enables healthcare systems to monitor environmental sustainability progress while accounting for workload changes, supporting data-driven decarbonization efforts and benchmarking between institutions delivering different care portfolios.</div></div>","PeriodicalId":75054,"journal":{"name":"The journal of climate change and health","volume":"30 ","pages":"Article 100680"},"PeriodicalIF":4.5,"publicationDate":"2026-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13319387/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148370514","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Understanding health literacy within the nexus of environmental, planetary, and one health: Mapping the evidence via bibliometric content analysis","authors":"Lydia Reismann,&nbsp;Jennifer Kallenbach,&nbsp;Carmen Jochem","doi":"10.1016/j.joclim.2026.100700","DOIUrl":"10.1016/j.joclim.2026.100700","url":null,"abstract":"<div><h3>Background</h3><div>Amidst an anthropogenic climate and ecological crisis, the conventional understanding of Health Literacy has been expanded to address socio-ecological determinants of health through the Planetary Health Literacy, Climate and Health Literacy, or One Health Literacy concepts. However, the field's interdisciplinary character and its recent evolutionary status have led to theoretical fragmentation and a lack of conceptual debate.</div></div><div><h3>Methodology</h3><div>To test three expectations regarding the conceptual underpinnings of literacy and competency concepts and to systematically map the evidence, a bibliometric content analysis is conducted using co-occurrence analysis (COA).</div></div><div><h3>Findings</h3><div>A total of 135 peer-reviewed studies meeting the inclusion criteria are analyzed from 1444 screened publications. COA via bibliometric network viewer VOSviewer yields the formation of four distinct clusters: 1) Competencies in Planetary Health Education and sustainable healthcare; 2) Environmental Health Literacy and environmental risk and exposure awareness; 3) Competencies regarding One Health, the animal-human-health nexus and interdisciplinary education; 4) Food Literacy, nutrition, and sustainability. Analyzing patterns of single items underscored One Health and Planetary Health as broadly integrative themes, whereas other concepts remained cluster-specific. The hypothesized distinction between One Health and Planetary Health Literacy is omitted, whereas conceptual differences between Environmental Health Literacy and Planetary Health Literacy are confirmed.</div></div><div><h3>Conclusion</h3><div>The findings contribute to theoretical and methodological research trajectories and reveal the widespread use of vague terms such as <em>knowledge, skill,</em> or <em>attitude</em> over differentiated literacy constructs. The results underscore the need for standardized terminology and conceptual underpinnings, particularly within educational research.</div></div>","PeriodicalId":75054,"journal":{"name":"The journal of climate change and health","volume":"30 ","pages":"Article 100700"},"PeriodicalIF":4.5,"publicationDate":"2026-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13319369/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148371116","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Measuring the carbon footprint of Colchicine for Long COVID - a multicenter trial from India","authors":"Siaa Girotra,&nbsp;Shani S Thankachen,&nbsp;Niveditha Devasenapathy,&nbsp;Madhuri Dutta,&nbsp;Abhinav Bassi,&nbsp;Vivekanand Jha","doi":"10.1016/j.joclim.2026.100706","DOIUrl":"10.1016/j.joclim.2026.100706","url":null,"abstract":"<div><h3>Introduction</h3><div>Reducing greenhouse gas (GHG) emissions from human activities is essential to combat climate change. The healthcare sector contributes to global emissions, and clinical trials play a crucial role in informing evidence-based healthcare practices. Attempts have been made to quantify emissions resulting from clinical trials to help devise effective mitigation strategies. We report carbon emissions from a multicenter clinical trial conducted in both community and hospital settings in India.</div></div><div><h3>Methods</h3><div>We audited the carbon emissions of a multicenter, placebo-controlled trial evaluating the efficacy of colchicine for Long COVID (CTRI/2021/11/038234) using the GHG Protocol Corporate Accounting and Reporting Standard and the Corporate Value Chain Standard. A three-step methodology was followed, including identification of relevant organisational stakeholders and setting the scope of the calculation, data collection by developing relevant study tools, and calculation of emissions using applicable emission factors.</div></div><div><h3>Results</h3><div>The total emissions related to the trial were 12.38 tonnes of CO2 equivalents (CO2e) for the trial duration of three years. The top contributors to the emissions were the local commute of trial coordinators and research staff (71%, 8.73 tonnes CO2e), trial meetings (9%, 1.13 tonnes CO2e), patient investigations (10%, 1.27 tonnes CO2e) and the electricity consumption at the clinical trial unit (5%, 0.61 tonnes CO2e).</div></div><div><h3>Conclusion</h3><div>The study demonstrated the feasibility of assessing the carbon footprint of a clinical trial conducted in India and provides a framework for future assessments and recommendations that can be considered during the planning and implementation of clinical trials.</div></div>","PeriodicalId":75054,"journal":{"name":"The journal of climate change and health","volume":"30 ","pages":"Article 100706"},"PeriodicalIF":4.5,"publicationDate":"2026-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13380054/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148498389","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}