Excess risk in infant mortality among populations living in flood-prone areas in Bangladesh: A cluster-matched cohort study over three decades, 1988 to 2017.

The Ganges-Brahmaputra-Meghna river basin, running through Tibet, Nepal, Bhutan, Bangladesh, and northern India, is home to more than 618 million people. Annual monsoons bring extensive flooding to the basin, with floods predicted to be more frequent and extreme due to climate change. Yet, evidence regarding the long-term impacts of floods on children's health is lacking. In this analysis, we used high-resolution maps of recent large floods in Bangladesh to identify flood-prone areas over the country. We then used propensity score techniques to identify, among 58,945 mothers interviewed in six demographic population-based surveys throughout Bangladesh, matched cohorts of exposed and unexposed mothers and leverage data on 150,081 births to estimate that living in flood-prone areas was associated with an excess risk in infant mortality of 5.3 (95% CI 2.2 to 8.4) additional deaths per 1,000 births compared to living in non-flood-prone areas over the 30-y period between 1988 and 2017, with higher risk for children born during rainy (7.9, 95% CI: 3.3 to 12.5) vs. dry months (3.1, 95% CI: -1.1 to 7.2). Finally, drawing on national-scale, high-resolution estimates of flood risk and population distribution, we estimated an excess of 152,753 (64,120 to 241,386) infant deaths were attributable to living in flood-prone areas in Bangladesh over the past 30 y, with marked heterogeneity in attributable burden by subdistrict. Our approach demonstrates the importance of measuring longer-term health impacts from floods and provides a generalizable example for how to study climate-related exposures and long-term health effects.

Opportunities and challenges for ChatGPT and large language models in biomedicine and health.

ChatGPT has drawn considerable attention from both the general public and domain experts with its remarkable text generation capabilities. This has subsequently led to the emergence of diverse applications in the field of biomedicine and health. In this work, we examine the diverse applications of large language models (LLMs), such as ChatGPT, in biomedicine and health. Specifically, we explore the areas of biomedical information retrieval, question answering, medical text summarization, information extraction and medical education and investigate whether LLMs possess the transformative power to revolutionize these tasks or whether the distinct complexities of biomedical domain presents unique challenges. Following an extensive literature survey, we find that significant advances have been made in the field of text generation tasks, surpassing the previous state-of-the-art methods. For other applications, the advances have been modest. Overall, LLMs have not yet revolutionized biomedicine, but recent rapid progress indicates that such methods hold great potential to provide valuable means for accelerating discovery and improving health. We also find that the use of LLMs, like ChatGPT, in the fields of biomedicine and health entails various risks and challenges, including fabricated information in its generated responses, as well as legal and privacy concerns associated with sensitive patient data. We believe this survey can provide a comprehensive and timely overview to biomedical researchers and healthcare practitioners on the opportunities and challenges associated with using ChatGPT and other LLMs for transforming biomedicine and health.

Contribution of the seminal microbiome to paternal programming.

The field of Developmental Origins of Health and Disease (DOHaD) has primarily focused on maternal programming of offspring health. However, emerging evidence suggests that paternal factors, including the seminal microbiome, could potentially play important roles in shaping the developmental trajectory and long-term offspring health outcomes. Historically, the microbes present in the semen were regarded as inherently pathogenic agents. However, this dogma has recently been challenged by the discovery of a diverse commensal microbial community within the semen of healthy males. In addition, recent studies suggest that the transmission of semen-associated microbes into the female reproductive tract during mating has potentials to not only influence female fertility and embryo development but could also contribute to paternal programming in the offspring. In this review, we summarize the current knowledge on the seminal microbiota in both humans and animals followed by discussing their potential involvement in paternal programming of offspring health. We also propose and discuss potential mechanisms through which paternal influences are transmitted to offspring via the seminal microbiome. Overall, this review provides insights into the seminal microbiome-based paternal programing, which will expand our understanding of the potential paternal programming mechanisms that currently are focused on the epigenetic modifications, oxidative stresses, and cytokines.

Health care seeking behaviour towards cervical cancer screening among women aged 30-49 years in Arbaminch town, Southern Ethiopia, 2023.

BACKGROUND: Cervical cancer is a preventable disease. However, it remains the commonest and deadly cancer in women worldwide. Health care seeking behaviour is not well studied in Ethiopia even though it is crucial in averting cervical cancer by maximizing cervical cancer screening utilization. Therefore, this study amid to assess health care seeking behaviour towards cervical cancer screening and its associated factors among women aged 30-49 years in Arba Minch town, Southern Ethiopia, 2023. METHODS: A community-based cross-sectional study design was conducted on 414 women who are in the age range of 30-49 in Arba Minch town from January 2-February20, 2023. Study participants were selected by a simple random sampling technique from all kebeles and data were collected using pretested interviewer administered questionnaires. SPSS version 27 was used to conduct binary and multivariable logistic regression analysis. Socio-demographic characteristics of the respondents were described using descriptive statistics. Furthermore, binary and multivariable logistic regression analyses were made to find the factors associated with health care seeking behaviour. Variables with a p-value less than 0.25 on binary logistic regression were selected for multivariable logistic regression. Variables with a p-value < 0.05 were considered statistically significant. The reliability and internal consistency of the constructs of health belief model were calculated independently using Cronbach's alpha. RESULT: The prevalence of health care seeking behaviour towards cervical cancer screening was 197(47.6%) [95%CI: 42.7-52.5%]. Respondents' good knowledge [AOR = 1.55, 95%CI: 1.01-2.39], positive perceived susceptibility [AOR = 3.63, 95%CI: 2.06-6.42], positive perceived severity [AOR = 2.65, 95%CI: 1.71-4.09], positive perceived benefits [AOR = 4.85, 95%CI: 2.92-7.87] were significantly associated with health seeking behaviour. CONCLUSION: The prevalence of health care seeking behaviour towards cervical cancer screening is low in this study. To maximize the health care seeking behavior of women, further acting on perceived susceptibility, respondents' knowledge, perceived severity, and perceived benefit of the woman are crucial.

Reliability and construct validity of the ACTIVLIM-Hemo and Haemophilia Activities List (HAL) questionnaires in individuals with haemophilia.

OBJECTIVE: The objective of this study is to assess the reliability and construct validity of ACTIVLIM-Hemo, a newly developed Rasch-built questionnaire designed to evaluate activity limitations in people with haemophilia (PwH), in comparison with the Haemophilia Activities List (HAL), which was developed using Classical Test Theory. METHODS: A total of 130 participants with haemophilia A or B were included. They underwent various assessments, including joint health scoring (HJHS), functional tests (TUG and 2MWT) and completed questionnaires such as the BPI, IPAQ, HAL and ACTIVLIM-Hemo. Reliability indices and the minimum detectable change (MDC95) were determined for ACTIVLIM-Hemo and for HAL. Construct validity was evaluated through correlations and multiple linear regression, considering demographic and clinical factors. RESULTS: Both ACTIVLIM-Hemo (Person Separation Index = 0.92) and HAL (Cronbach's α = 0.98) demonstrated high reliability. The MDC95 for ACTIVLIM-Hemo represented 11.6% of its measurement range, while for HAL, it amounted to 18/100 score points. Activity limitations measured by both instruments were significantly correlated with demographic and clinical factors. Joint health (HJHS), pain severity (BPI) and walking performance (2MWT) emerged as the main predictors of activity limitations, explaining 75% of the variance in ACTIVLIM-Hemo and 60% in HAL. CONCLUSION: ACTIVLIM-Hemo stands as a reliable and valid instrument for assessing activity limitations in PwH. Both instruments exhibited significant correlations with demographic and clinical factors, but ACTIVLIM-Hemo displayed a more homogeneous construct. Given its linear scale and lower MDC95 and better targeting, ACTIVLIM-Hemo shows promise as a patient-centric instrument for assessing responsiveness to treatment during individual follow-up.

Interest in over-the-counter progestin-only pills among transgender, nonbinary, and gender-expansive individuals in the United States.

BACKGROUND: In July 2023, the US Food and Drug Administration approved the first nonprescription oral contraceptive, a progestin-only pill, in the United States. Transgender, nonbinary, and gender-expansive people assigned female or intersex at birth face substantial contraceptive access barriers and may benefit from over-the-counter oral contraceptive access. However, no previous research has explored their perspectives on this topic. OBJECTIVE: This study aimed to measure interest in over-the-counter progestin-only pill use among transgender, nonbinary, and gender-expansive individuals assigned female or intersex at birth. STUDY DESIGN: We conducted an online, cross-sectional survey from May to September 2019 (before the US Food and Drug Administration approval of a progestin-only pill) among a convenience sample of transgender, nonbinary, and gender-expansive people assigned female or intersex at birth who were aged 18 to 49 years from across the United States. Using descriptive statistics and logistic regression analyses, we estimated interest in over-the-counter progestin-only pill use (our outcome) overall and by sociodemographic and reproductive health characteristics (our exposures). We evaluated separate logistic regression models for each exposure. In each model, we included the minimally sufficient adjustment set to control for confounding pathways between the exposure and outcome. For the model for age, we ran a univariable logistic regression model; for all other exposures, we ran multivariable logistic regression models. RESULTS: Among 1415 participants in our sample (median age, 26 years), 45.0% (636/1415; 95% confidence interval, 42.3-47.6) were interested in over-the-counter progestin-only pill use. In separate logistic regression models for each exposure, there were higher odds of interest among participants who were aged 18 to 24 years (odds ratio, 1.67; 95% confidence interval, 1.33-2.10; vs those aged 25-34 years), those who were uninsured (adjusted odds ratio, 1.91; 95% confidence interval, 1.24-2.93; vs insured), those who currently used oral contraceptives (adjusted odds ratio, 1.69; 95% confidence interval, 1.17-2.44; vs non-users), had ≤high school degree (adjusted odds ratio, 3.02; 95% confidence interval, 1.94-4.71; vs college degree), had ever used progestin-only pills (adjusted odds ratio, 2.32; 95% confidence interval, 1.70-3.17; vs never users), and who wanted to avoid estrogen generally (adjusted odds ratio, 1.32; 95% confidence interval, 1.04-1.67; vs those who did not want to avoid estrogen generally) or specifically because they viewed it as a feminizing hormone (adjusted odds ratio, 1.72; 95% confidence interval, 1.36-2.19; vs those who did not want to avoid estrogen because they viewed it as a feminizing hormone). There were lower odds of interest among participants with a graduate or professional degree (adjusted odds ratio, 0.70; 95% confidence interval, 0.51-0.96; vs college degree), those who were sterilized (adjusted odds ratio, 0.31; 95% confidence interval, 0.12-0.79; vs not sterilized), and those who had ever used testosterone for gender affirmation (adjusted odds ratio, 0.72; 95% confidence interval, 0.57-0.90; vs never users). CONCLUSION: Transgender, nonbinary, and gender-expansive individuals were interested in over-the-counter progestin-only pill use, and its availability has the potential to improve contraceptive access for this population.

HIV estimation using population-based surveys with non-response: A partial identification approach.

HIV estimation using data from the demographic and health surveys (DHS) is limited by the presence of non-response and test refusals. Conventional adjustments such as imputation require the data to be missing at random. Methods that use instrumental variables allow the possibility that prevalence is different between the respondents and non-respondents, but their performance depends critically on the validity of the instrument. Using Manski's partial identification approach, we form instrumental variable bounds for HIV prevalence from a pool of candidate instruments. Our method does not require all candidate instruments to be valid. We use a simulation study to evaluate and compare our method against its competitors. We illustrate the proposed method using DHS data from Zambia, Malawi and Kenya. Our simulations show that imputation leads to seriously biased results even under mild violations of non-random missingness. Using worst case identification bounds that do not make assumptions about the non-response mechanism is robust but not informative. By taking the union of instrumental variable bounds balances informativeness of the bounds and robustness to inclusion of some invalid instruments. Non-response and refusals are ubiquitous in population based HIV data such as those collected under the DHS. Partial identification bounds provide a robust solution to HIV prevalence estimation without strong assumptions. Union bounds are significantly more informative than the worst case bounds without sacrificing credibility.

The PompeQoL questionnaire: Development and validation of a new measure for children and adolescents with Pompe disease.

Genetic disorders pose great challenges for affected individuals and their families, as they must cope with the irreversible nature of the disease and a life-long dependence on medical assistance and treatment. Children and adolescents dealing with Pompe disease (PD) often struggle to keep up with their peers in physical activities. To gain valuable insights into their subjective experiences and better understand their perception and coping related to daily challenges linked to their condition and treatment, the use of standardized questionnaires is crucial. This study introduces the novel PompeQoL 1.0 questionnaire for children and adolescents with PD, designed for comprehensive assessment of both disease-specific FDH and HRQoL through self- and proxy reports. Content validity was ensured through patients' and parents' involvement at the initial stages of development and in subsequent cognitive debriefing process. Participants found the questionnaire easy to understand, answerable, relevant, and comprehensive. Adjustments based on feedback from patients and their parents improved its utility as a patient- and observer-reported outcome measure. After careful item examination, 52 items were selected, demonstrating moderate to excellent test-retest reliability for most scales and initial evidence for satisfactory construct validity. The PompeQoL questionnaire stands as a valuable screening instrument for both clinical and research purposes. Future research should prioritize additional revisions and larger validation studies, focusing on testing the questionnaire in clinical practice and trials. Nevertheless, the PompeQoL 1.0 stands out as the first standardized measure providing insights into disease-specific FDH and HRQoL among children and adolescents with various forms of PD.

The Color of Medicine.

During my family medicine residency training, I was the junior doctor on the wards team when we encountered a young Black man who was hesitant to begin a new medication. I was also the only Black person on the team. After some initial trepidation about speaking up, I discussed my experiences with the patient and his mother and helped them see that the medication was not something to be feared. Later I faced criticism from a senior team member for bringing up the topic of race. Race is in fact an important consideration when treating patients. Understanding patients' lived experiences, especially when it comes to race, is essential in providing equitable health care.

Developing an AI Tool to Derive Social Determinants of Health for Primary Care Patients: Qualitative Findings From a Codesign Workshop.

PURPOSE: Information about social determinants of health (SDOH) is essential for primary care clinicians in the delivery of equitable, comprehensive care, as well as for program planning and resource allocation. SDOH are rarely captured consistently in clinical settings, however. Artificial intelligence (AI) could potentially fill these data gaps, but it needs to be designed collaboratively and thoughtfully. We report on a codesign process with primary care clinicians to understand how an AI tool could be developed, implemented, and used in practice. METHODS: We conducted semistructured, 50-minute workshops with a large urban family health team in Toronto, Ontario, Canada asking their feedback on a proposed AI-based tool used to derive patient SDOH from electronic health record data. An inductive thematic analysis was used to describe participants' perspectives regarding the implementation and use of the proposed tool. RESULTS: Fifteen participants contributed across 4 workshops. Most patient SDOH information was not available or was difficult to find in their electronic health record. Discussions focused on 3 areas related to the implementation and use of an AI tool to derive social data: people, process, and technology. Participants recommended starting with 1 or 2 social determinants (income and housing were suggested as priorities) and emphasized the need for adequate resources, staff, and training materials. They noted many challenges, including how to discuss the use of AI with patients and how to confirm their social needs identified by the AI tool. CONCLUSIONS: Our codesign experience provides guidance from end users on the appropriate and meaningful design and implementation of an AI-based tool for social data in primary care.

Estimation of place-based vulnerability scores for HIV viral non-suppression: an application leveraging data from a cohort of people with histories of using drugs.

The relationships between place (e.g., neighborhood) and HIV are commonly investigated. As measurements of place are multivariate, most studies apply some dimension reduction, resulting in one variable (or a small number of variables), which is then used to characterize place. Typical dimension reduction methods seek to capture the most variance of the raw items, resulting in a type of summary variable we call "disadvantage score". We propose to add a different type of summary variable, the "vulnerability score," to the toolbox of the researchers doing place and HIV research. The vulnerability score measures how place, as known through the raw measurements, is predictive of an outcome. It captures variation in place characteristics that matters most for the particular outcome. We demonstrate the estimation and utility of place-based vulnerability scores for HIV viral non-suppression, using data with complicated clustering from a cohort of people with histories of injecting drugs.

Impact of war on HIV-related healthcare services and health workers in eastern Ukraine: a qualitative study.

The 2022 Russian invasion of Ukraine has caused serious challenges for healthcare workers (HCWs) and HIV-related healthcare services. This study assessed the effects of the invasion on HCWs wellbeing and on continuity of HIV services, using in-depth interviews with HCWs from facilities offering HIV antiretroviral therapy (ART) and pre-exposure prophylaxis (PrEP) services in the Donetsk region of Eastern Ukraine. A directed content analysis, with both inductive and deductive approaches, was conducted. Ten HCWs (6 [60%] doctors, 4 [40%] nurses; 9 [90%] female) were interviewed. Six respondents were displaced from their homes and worksites, and all described stress and threats to emotional wellbeing. HCWs used online consultations, encrypted mobile communication, and multi-month dispensing to support continuity of ART and PrEP services. They noted immediate needs for psychological and financial support, and access to laptop computers and mobile communications to ensure continuity of HIV services. Priorities for restoration of services include repair of health facilities, restoration of laboratory services and supply chains, and return of personnel and patients. HCWs made innovative, rapid adaptations to HIV services to keep ART and PrEP services running, demonstrating the resolve of Ukrainian HCWs to maintain continuity of HIV services despite the disruptions of war.

Effect of women empowerment on treatment seeking practice for sexually transmitted infections among women in Ethiopia.

BACKGROUND: Sexually transmitted infections (STI) are public health problems in Ethiopia. Women have a higher chance of acquiring STI. STI complications are more severe in women compared to men. Despite that, treatment seeking for STI among women is poor. Woman empowerment and gender related factors may be playing a role for treatment seeking practice for STI. However, there are no studies that assess the association between these factors and treatment seeking practice for STI among married reproductive age women in Ethiopia. Therefore, this analysis was designed to explore this association in Ethiopia. METHODS: This analysis used the 2016 Ethiopian demographic and health survey (EDHS) data. The 2016 EDHS collected data about STI treatment seeking practice for STI among other variables. Data was analyzed using STATA 17.0. Sampling weights were applied to improve the representativeness of the samples. Descriptive statistics were computed to describe the characteristics of the women. Binary and multivariable logistic regression models were fitted to identify the association between treatment seeking practice for STI and predictor variables. Multicollinearity was checked using variance inflation factors before running the multivariable logistic regression. RESULTS: In this study, about 28% (95%CI: 20.87, 36.77) married reproductive age women with STI or STI symptoms sought treatment from the formal sector. Women whose husband attended secondary and higher education (AOR, 8.52; 95%CI 1.42, 51.21), and women with higher women empowerment scores (AOR 1.38, 95%CI 1.06, 1.81) had higher odds of treatment seeking for STI or STI symptoms. On the other hand, women who believe wife beating is justified had lower odds (AOR 0.32; 95%CI 0.15, 0.68) of treatment seeking for STI or STI symptoms. CONCLUSIONS: Treatment seeking practice for STI among married reproductive age women in Ethiopia is low. The Ministry of Health and development partners shall conduct further research to identify barriers for treatment seeking practice. Gender variables (women empowerment and belief that wife beating is justified) were significantly associated with STI treatment seeking practice among married reproductive age women. STI prevention and control strategies shall include women empowerment and gender issues as essential component in STI prevention, treatment, and control activities.

The spatial distribution of heat related hospitalizations and classification of the most dangerous heat events in California at a small-scale level.

Many studies have explored the impact of extreme heat on health, but few have investigated localized heat-health outcomes across a wide area. We examined fine-scale variability in vulnerable areas, considering population distribution, local weather, and landscape characteristics. Using 36 different heat event definitions, we identified the most dangerous types of heat events based on minimum, maximum, and diurnal temperatures with varying thresholds and durations. Focusing on California's diverse climate, elevation, and population distribution, we analyzed hospital admissions for various causes of admission (2004-2013). Our matching approach identified vulnerable zip codes, even with small populations, on absolute and relative scales. Bayesian Hierarchical models leveraged spatial correlation. We ranked the 36 heat event types by attributable hospital admissions per zip code and provided code, simulated data, and an interactive web app for reproducibility. Our findings showed high variation in heat-related hospitalizations in coastal cities and substantial heat burdens in the Central Valley. Diurnal heat events had the greatest impact in the Central Valley, while nighttime extreme heat events drove burdens in the southeastern desert. This spatially informed approach guides local policies, prioritizing dangerous heat events to reduce the heat-health burden. The methodology is applicable to other regions, informing early warning systems and characterizing extreme heat impacts.

Exploring the link between particulate matter pollution and acute respiratory infection risk in children using generalized estimating equations analysis: a robust statistical approach.

BACKGROUND: India is facing a burdensome public health challenge due to air pollution, with a particularly high burden of acute respiratory infections (ARI) among children. To address this issue, our study aims to evaluate the association between exposure to fine particulate matter (PM2.5) and ARI incidence in young children in India. MATERIALS AND METHODS: Our study used PM2.5 data provided by the Atmospheric Composition Analysis Group at Washington University to assess the association between PM2.5 exposure and ARI incidence in 223,375 children sampled from the 2019-2021 Demographic Health Survey in India. We employed the generalized estimating equation and reported odds ratios and 95% confidence intervals for a 10 µg/m3 increase in PM2.5 and quartiles of PM2.5 exposure. RESULTS: Each 10 µg/m3 increase in PM2.5 levels was associated with an increased odds of ARI (OR: 1.23, 95% CI: 1.19-1.27). A change from the first quartile of PM2.5 (2.5-34.4 µg/m3) to the second quartile (34.5-51.5 µg/m3) of PM2.5 was associated with a two-fold change (OR: 2.06, 95% CI: 1.60-2.66) in the odds of developing ARI. Similarly, comparing the first quartile to the fourth quartile of PM2.5 exposure (78.3-128.9 µg/m3) resulted in an over four-fold increase in the odds of ARI (OR: 4.45, 95% CI: 3.37-5.87). CONCLUSION: Mitigation efforts must be continued implementing higher restrictions in India and to bring new interventions to ensure safe levels of air for reducing the burden of disease and mortality associated with air pollution in India.

The CHANGE (Climate Health ANalysis Grading Evaluation) tool for weight of evidence reviews on climate change and health research.

BACKGROUND: Climate change has been identified as one of the biggest threats to human health. Despite this claim, there are no standardized tools that assess the rigor of published literature for use in weight of evidence (WOE) reviews. Standardized assessment tools are essential for creating clear and comparable WOE reviews. As such, we developed a standardized tool for evaluating the quality of climate change and health studies focused on evaluating studies that quantify exposure-response relationships and studies that implement and/or evaluate adaptation interventions. METHODS: The authors explored systematic-review methodology to enhance transparency and increase efficiency in summarizing and synthesizing findings from studies on climate change and health research. The authors adapted and extended existing WOE methods to develop the CHANGE (Climate Health ANalysis Grading Evaluation) tool. The resulting assessment tool has been refined through application and subsequent team input. RESULTS: The CHANGE tool is a two-step standardized tool for systematic review of climate change and health studies of exposure-response relationships and adaptation intervention studies. Step one of the CHANGE tool aims to classify studies included in weight-of-evidence reviews and step two assesses the quality and presence of bias in the climate change and health studies. CONCLUSION: The application of the CHANGE tool in WOE reviews of climate change and health will lead to increased comparability, objectivity, and transparency within this research area.

Measurement properties of utility-based health-related quality of life measures in cardiac rehabilitation and secondary prevention programs: a systematic review.

PURPOSE: To identify utility-based patient-reported outcome measures (PROMs) for assessing health-related quality of life (HRQoL) in cardiac rehabilitation and secondary prevention programs (CR) and appraise existing evidence on their measurement properties. Secondly, to link their items to the International Classification of Functioning Disability and Health (ICF) and the International Consortium of Health Outcome Measures (ICHOM) domains for cardiovascular disease (CVD). METHODS: Eight databases were searched. The review followed the COSMIN and JBI guidelines for measurement properties systematic reviews and PRISMA 2020 reporting guidelines. Non-experimental and observational empirical studies of patients ≥ 18 years of age with CVD undergoing CR and assessed quality of life (QoL) or HRQoL using utility-based PROMs or one accompanied by health state utilities were included. RESULTS: Nine PROMs were identified with evidence on measurement properties for three measures: the German translations of SF-12, EQ-5D-5L, and MacNew heart disease HRQoL questionnaire. There was moderate quality evidence for responsiveness and hypothesis testing of the SF-12 and EQ-5D-5L, and high-quality evidence for responsiveness and hypothesis testing for the MacNew. All items of SF-12 and EQ-5D were linked to ICF categories, but four items of the MacNew were not classified or defined. All the PROM domains were mapped onto similar constructs from the ICHOM global sets. CONCLUSION: Three utility-based PROMs validated in CR were identified: the German versions of the EQ-5D and SF-12 and the MacNew questionnaire. These PROMs are linked to a breadth of ICF categories and all ICHOM global sets. Additional validation studies of PROMs in CR are required.

What predicts health facility delivery among women? analysis from the 2021 Madagascar Demographic and Health Survey.

BACKGROUND: One of the pivotal determinants of maternal and neonatal health outcomes hinges on the choice of place of delivery. However, the decision to give birth within the confines of a health facility is shaped by a complex interplay of sociodemographic, economic, cultural, and healthcare system-related factors. This study examined the predictors of health facility delivery among women in Madagascar. METHODS: We used data from the 2021 Madagascar Demographic and Health Survey. A total of 9,315 women who had a health facility delivery or delivered elsewhere for the most recent live birth preceding the survey were considered in this analysis. Descriptive analysis, and multilevel regression were carried out to determine the prevalence and factors associated with health facility delivery. The results were presented as frequencies, percentages, crude odds ratios and adjusted odds ratios (aORs) with corresponding 95% confidence intervals (CIs), and a p-value < 0.05 was used to declare statistical significance. RESULTS: The prevalence of health facility delivery was 41.2% [95% CI: 38.9-43.5%]. In the multilevel analysis, women aged 45-49 [aOR = 2.14, 95% CI = 1.34-3.43], those with secondary/higher education [aOR = 1.62, 95% CI = 1.30-2.01], widowed [aOR = 2.25, 95% CI = 1.43-3.58], and those exposed to mass media [aOR = 1.18, 95% CI = 1.00-1.39] had higher odds of delivering in health facilities compared to those aged 15-49, those with no formal education, women who had never been in union and not exposed to mass media respectively. Women with at least an antenatal care visit [aOR = 6.95, 95% CI = 4.95-9.77], those in the richest wealth index [aOR = 2.74, 95% CI = 1.99-3.77], and women who considered distance to health facility as not a big problem [aOR = 1.28, 95% CI = 1.09-1.50] were more likely to deliver in health facilities compared to those who had no antenatal care visit. Women who lived in communities with high literacy levels [aOR = 1.54, 95% CI = 1.15-2.08], and women who lived in communities with high socioeconomic status [aOR = 1.72, 95% CI = 1.28-2.31] had increased odds of health facility delivery compared to those with low literacy levels and in communities with low socioeconomic status respectively. CONCLUSION: The prevalence of health facility delivery among women in Madagascar is low in this study. The findings of this study call on stakeholders and the government to strengthen the healthcare system of Madagascar using the framework for universal health coverage. There is also the need to implement programmes and interventions geared towards increasing health facility delivery among adolescent girls and young women, women with no formal education, and those not exposed to media. Also, consideration should be made to provide free maternal health care and a health insurance scheme that can be accessed by women in the poorest wealth index. Health facilities should be provided at places where women have challenges with distance to other health facilities. Education on the importance of antenatal care visits should also be encouraged, especially among women with low literacy levels and in communities with low socioeconomic status.

A WHO-led global strategy to control greenhouse gas emissions: a call for action.

BACKGROUND: Climate change, driven by anthropogenic greenhouse gas emissions, is among the greatest threats to human health. The World Health Organisation (WHO), has led global efforts to respond to emerging public health threats including the control of hazardous substances such as tobacco, alcohol, lead and asbestos, with remarkable health gains. BODY: Despite WHO's clear messaging on the enormous and growing health risks of climate change, greenhouse gases are not yet classified as hazardous substances, requiring control through a global strategy or framework. Additionally, WHO has not classified disease attributable to climate change as a result of the promulgation of these hazards as a Public Health Emergency of International Concern (PHEIC), despite the serious and preventable health risks it poses globally. Several historical precedents set the stage for WHO to declare excess greenhouse gases as health hazards, including the control of ozone-depleting substances and breast-milk substitutes where the public benefit of control exceeded the potential benefit of their promulgation. In addition, WHO's undertaking within the International Health Regulations to protect global health, providing imperative to declare climate change a PHEIC, with Tedros Adhanom Ghebreyesus, director-general of WHO, declaring: "The climate crisis is a health crisis, fuelling outbreaks, contributing to higher rates of noncommunicable diseases, and threatening to overwhelm our health workforce and health infrastructure". Importantly, the health sector, perhaps more than other sectors, has successfully overcome formidable, vested interests in combatting these threats to health. CONCLUSION: It is thus imperative that WHO make full use of their credibility and influence to establish a global framework for the control of greenhouse gases through the declaration of excess greenhouse gas emissions as a hazardous substance, and declaring climate change a PHEIC. Who else is better placed to drive the considerable societal transformation needed to secure a liveable future?

Prevalence and determinants of gestational diabetes mellitus among pregnant women in India: an analysis of National Family Health Survey Data.

BACKGROUND: Gestational diabetes mellitus (GDM) is a type of diabetes with its first recognition during pregnancy. GDM is a high-risk maternal and neonatal condition which increases the risk of Type 2 diabetes in mothers and their infants. It is essential to detect and treat GDM since its inception when mothers suffer from Type 1 diabetes while carrying the foetus during the gestational period. METHODS: The study analysed individual data from the National Family Health Survey (NFHS) surveyed in 2015-2016 (4th round) and 2019-2021 (5th round) covering a total of approximately 6 lakhs and 7 lakhs women, respectively. Among them, 32,072 women in 2015-2016 and 28,187 in 2019-2021 were pregnant, of whom 180 women in 2014-2015 and 247 women in 2019-2021 had diabetes during their gestational periods, allowing the percentage prevalence calculation of GDM. The analysis of Poisson regression estimates examined the socioeconomic and demographic risk factors for GDM among pregnant women. RESULTS: The overall prevalence of GDM in women showed an increase from 0.53% in 2015-16 to 0.80% in 2019-20 at the national level, and a similar increase in many states of India was witnessed, with a few exceptions. The GDM prevalence has shown a gradient over age, with a low prevalence in 15-19- and 25-29-year-olds and the highest prevalence in 40-44-year-olds. Concerning the rural and urban divide, its prevalence in both urban and rural areas has increased from 0.61 to 0.85% and 0.51 to 0.78% between 2015 and 16 and 2019-21. The results of the Poisson regression analysis reveal that older adults with high Body Mass Index (BMI), thyroid disorder, and heart disease have a greater risk of GDM among pregnant women in India. The states of Kerala, Meghalaya, and Goa show a high prevalence of GDM. CONCLUSION: The low prevalence of GDM may not be clinically significant but has negative repercussions on the mother and her child cannot be overlooked. Thus, it is essential to curb GDM since its inception and save a generation ahead from the risk of diabetes and other diseases.