49 research outputs found

    Underpaid, undervalued, and overworked: The working conditions of cooks in India's school lunch programme

    Get PDF
    Motivation: School feeding programmes employ more than 4 million people globally and have the potential to contribute to the realization of multiple Sustainable Development Goals, including decent work and reducing inequalities. However, the working conditions and experiences of workers in these programmes have received little attention from academics and policy‐makers alike. Consequently, it is currently unclear what the impacts of the employment generated are and whether this employment reduces or perpetuates inequalities. Purpose: This article examines the extent to which school feeding programmes can generate beneficial employment by examining the experiences of cooks in the world's largest school lunch programme, India's Midday Meal Scheme. The article focuses on five key areas: who is employed; their pay; their workload; their access to social protection; and the effects of privatization. Approach and methods: To examine these five areas, data from three sources are combined: primary data collected in Rajasthan; state‐level secondary data; and the analysis of national‐level documents. Findings: The findings show that national policy creates a system in which cooks in the Midday Meal Scheme are underpaid, undervalued, and overworked. These working conditions are underpinned by a series of assumptions and narratives which are all too common in perceptions of care work: that the work is unskilled, not time consuming, and motivated by altruism. The state's lack of regard for these workers is evident in the growing privatization of the scheme. Policy implications: Overall, the findings show that policy on school feeding programmes, including those in India, needs to ensure that those working in the scheme are treated as employees and receive sufficient pay and benefits. Providing decent work in these programmes has the potential to not only reduce poverty and inequalities but also to improve the implementation of school feeding programmes

    Intersecting Systems of Power Shaping Health and Wellbeing of Urban Waste Workers in the Context of COVID-19 in Vijayawada and Guntur, Andhra Pradesh, India

    Get PDF
    Background: Waste work in India is an undervalued role relegated to historically marginalised communities. The informal nature of their work coupled with lack of state regulation keeps waste workers trapped in poverty. This study aims to understand how intersecting systems and relations of power impact the agency of waste workers to shape their health and wellbeing. Methods: We used in-depth interviews, key informant interviews, and focus group discussions to collect primary data from waste worker communities in Vijayawada and Guntur in India. Thematic analysis was used to analyse data using conceptual frameworks relating to wellbeing and power. Results: Inter-generational poverty and lack of access to social determinants of health keeps waste workers trapped in a cycle of debt and poverty. They experience negative wellbeing owing to material and relational deprivations that are sustained by a nexus of power relations, explained using the themes of “power over”, “power to”, “power with”, and “power-within”. Conclusions: The ability of communities to exercise agency is constrained by the power exercised on their lives by the state and society. NGOs play a supportive role for the realisation of rights, but the ability of waste workers to organize and effect change is limited to coping strategies

    Using a novel methodology to map Post-COVID services for children and young people in England: a web-based systematic search

    Get PDF
    Background: Post-COVID Condition (PCC), also known as ‘Long COVID,’ refers to persistent symptoms following a coronavirus 2 (SARS-CoV-2) infection. The prevalence of PCC in children and adolescents varies, impacting multiple body systems and affecting daily functioning. Specialised paediatric hubs were established in England to address the needs of young individuals with PCC. Additional local services also emerged, yet patients report challenges accessing services. To better understand the landscape of paediatric PCC services, we used a novel methodology using a web-based systematic search. Methods: A web-based search was conducted in July 2023 using DEVONagent Pro. Search terms related to Long COVID and Pediatrics in England. Eligible sources providing information on PCC services for children and young people were included. A supplementary manual search and NHS England Post-COVID Network were also consulted. Data extraction included service location, characteristics, and referral pathways. Population estimates were derived from UK Census data. Results: Among 342 identified records, 27 services met eligibility criteria, distributed unevenly across regions. Specialised hubs covered 13 locations, while additional services were concentrated in the South of England and London. Services varied in team composition, age range treated, and support offered. A lack of standardised approaches for paediatric PCC was evident. Discussion: We used a novel methodology for systematically mapping online resources, providing valuable insights into service accessibility and aiding the identification of potential gaps. We observed geographical disparities in access to paediatric PCC services and the absence of standardised approaches in managing symptoms. Given the challenges faced by young individuals seeking support for their PCC the need for equitable and standardised care became apparent. The study contributes to closing the research-practice gap and calls for further research to identify effective treatments for paediatric PCC, acknowledging the diversity of reported symptoms and the importance of tailored approaches

    Health inequalities at the intersection of multiple social determinants among under five children residing Nairobi urban slums: an application of multilevel analysis of individual heterogeneity and discriminatory accuracy (MAIHDA)

    Get PDF
    In this analysis we examine through an intersectionality lens how key social determinants of health (SDOH) are associated with health conditions among under-five children (<5y) residing in Nairobi slums, Kenya. We used cross-sectional data collected from Nairobi slums between June and November 2012 to explore how multiple interactions of SDoH shape health inequalities in slums. We applied multilevel analysis of individual heterogeneity and discriminatory accuracy (MAIHDA) approach. We constructed intersectional strata for each health condition from combinations of significant SDoH obtained using univariate analyses. We then estimated the intersectional effects of health condition in a series of MAIHDA logistic regression models distinguishing between additive and interaction effects. We quantified discriminatory accuracy (DA) of the intersectional strata by means of the variance partitioning coefficient (VPC) and the area under the receiver operating characteristic curve (AUC-ROC). The total participants were 2,199 <5y, with 120 records (5.5%) dropped because health conditions were recorded as “not applicable”. The main outcome variables were three health conditions: 1) whether a child had diarrhea or not, 2) whether a child had fever or not, and 3) whether a child had cough or not in the previous two weeks. We found non-significant intersectional effects for each health condition. The head of household ethnic group was significantly associated with each health condition. We found good DA for diarrhea (VPC = 9.0%, AUC-ROC = 76.6%) an indication of large intersectional effects. However, fever (VPC = 1.9%, AUC-ROC = 66.3%) and cough (VPC = 0.5%, AUC-ROC = 61.8%) had weak DA indicating existence of small intersectional effects. Our study shows pathways for SDoH that affect diarrhea, cough, and fever for <5y living in slums are multiplicative and shared. The findings show that <5y from Luo and Luhya ethnic groups, recent migrants (less than 2 years), and households experiencing CHE are more likely to face worse health outcomes. We recommend relevant stakeholders to develop strategies aimed at identifying these groups for targeted proportionate universalism based on the level of their need

    Local Response in Health Emergencies: Key Considerations for Addressing the COVID-19 Pandemic in Informal Urban Settlements

    Get PDF
    This paper highlights the major challenges and considerations for addressing COVID-19 in informal settlements. It discusses what is known about vulnerabilities and how to support local protective action. There is heightened concern about informal urban settlements because of the combination of population density and inadequate access to water and sanitation, which makes standard advice about social distancing and washing hands implausible. There are further challenges to do with the lack of reliable data and the social, political and economic contexts in each setting that will influence vulnerability and possibilities for action. The potential health impacts of COVID-19 are immense in informal settlements, but if control measures are poorly executed these could also have severe negative impacts. Public health interventions must be balanced with social and economic interventions, especially in relation to the informal economy upon which many poor urban residents depend. Local residents, leaders and communitybased groups must be engaged and resourced to develop locally appropriate control strategies, in partnership with local governments and authorities. Historically, informal settlements and their residents have been stigmatized, blamed, and subjected to rules and regulations that are unaffordable or unfeasible to adhere to. Responses to COVID-19 should not repeat these mistakes. Priorities for enabling effective control measures include: collaborating with local residents who have unsurpassed knowledge of relevant spatial and social infrastructures, strengthening coordination with local governments, and investing in improved data for monitoring the response in informal settlements

    Effects of social determinants on children’s health in informal settlements in Bangladesh and Kenya through an intersectionality lens: a study protocol

    Get PDF
    Introduction Several studies have shown that residents of urban informal settlements/slums are usually excluded and marginalised from formal social systems and structures of power leading to disproportionally worse health outcomes compared to other urban dwellers. To promote health equity for slum dwellers, requires an understanding of how their lived realities shape inequities especially for young children 0–4 years old (ie, underfives) who tend to have a higher mortality compared with non-slum children. In these proposed studies, we aim to examine how key Social Determinants of Health (SDoH) factors at child and household levels combine to affect under-five health conditions, who live in slums in Bangladesh and Kenya through an intersectionality lens. Methods and analysis The protocol describes how we will analyse data from the Nairobi Cross-sectional Slum Survey (NCSS 2012) for Kenya and the Urban Health Survey (UHS 2013) for Bangladesh to explore how SDoH influence under-five health outcomes in slums within an intersectionality framework. The NCSS 2012 and UHS 2013 samples will consist of 2199 and 3173 under-fives, respectively. We will apply Multilevel Analysis of Individual Heterogeneity and Discriminatory Accuracy approach. Some of SDoH characteristics to be considered will include those of children, head of household, mothers and social structure characteristics of household. The primary outcomes will be whether a child had diarrhoea, cough, fever and acute respiratory infection (ARI) 2 weeks preceding surveys. Ethics and dissemination The results will be disseminated in international peer-reviewed journals and presented in events organised by the Accountability and Responsiveness in Informal Settlements for Equity consortium and international conferences. Ethical approval was not required for these studies. Access to the NCSS 2012 has been given by Africa Population and Health Center and UHS 2013 is freely availabl

    COVID-19 trajectories among 57 million adults in England: a cohort study using electronic health records

    Get PDF
    BACKGROUND: Updatable estimates of COVID-19 onset, progression, and trajectories underpin pandemic mitigation efforts. To identify and characterise disease trajectories, we aimed to define and validate ten COVID-19 phenotypes from nationwide linked electronic health records (EHR) using an extensible framework. METHODS: In this cohort study, we used eight linked National Health Service (NHS) datasets for people in England alive on Jan 23, 2020. Data on COVID-19 testing, vaccination, primary and secondary care records, and death registrations were collected until Nov 30, 2021. We defined ten COVID-19 phenotypes reflecting clinically relevant stages of disease severity and encompassing five categories: positive SARS-CoV-2 test, primary care diagnosis, hospital admission, ventilation modality (four phenotypes), and death (three phenotypes). We constructed patient trajectories illustrating transition frequency and duration between phenotypes. Analyses were stratified by pandemic waves and vaccination status. FINDINGS: Among 57 032 174 individuals included in the cohort, 13 990 423 COVID-19 events were identified in 7 244 925 individuals, equating to an infection rate of 12·7% during the study period. Of 7 244 925 individuals, 460 737 (6·4%) were admitted to hospital and 158 020 (2·2%) died. Of 460 737 individuals who were admitted to hospital, 48 847 (10·6%) were admitted to the intensive care unit (ICU), 69 090 (15·0%) received non-invasive ventilation, and 25 928 (5·6%) received invasive ventilation. Among 384 135 patients who were admitted to hospital but did not require ventilation, mortality was higher in wave 1 (23 485 [30·4%] of 77 202 patients) than wave 2 (44 220 [23·1%] of 191 528 patients), but remained unchanged for patients admitted to the ICU. Mortality was highest among patients who received ventilatory support outside of the ICU in wave 1 (2569 [50·7%] of 5063 patients). 15 486 (9·8%) of 158 020 COVID-19-related deaths occurred within 28 days of the first COVID-19 event without a COVID-19 diagnoses on the death certificate. 10 884 (6·9%) of 158 020 deaths were identified exclusively from mortality data with no previous COVID-19 phenotype recorded. We observed longer patient trajectories in wave 2 than wave 1. INTERPRETATION: Our analyses illustrate the wide spectrum of disease trajectories as shown by differences in incidence, survival, and clinical pathways. We have provided a modular analytical framework that can be used to monitor the impact of the pandemic and generate evidence of clinical and policy relevance using multiple EHR sources. FUNDING: British Heart Foundation Data Science Centre, led by Health Data Research UK

    Improving accountability for equitable health and well-being in urban informal spaces: Moving from dominant to transformative approaches

    Get PDF
    This article critically reviews the literature on urban informality, inequity, health, well-being and accountability to identify key conceptual, methodological and empirical gaps in academic and policy discourses. We argue that critical attention to power dynamics is often a key missing element in these discourses and make the case for explicit attention to the operation of power throughout conceptualization, design and conduct of research in this space. We argue that: (a) urban informality reflects the exercise of power to confer and withhold advantage; (b) the dominant biomedical model of health poorly links embodied experiences and structural contexts; (c) existing models of accountability are inadequate in unequal, pluralistic governance and provision environments. We trace four conceptual and empirical directions for transformative approaches to power relations in urban health equity research

    Prevalence of chronic HCV infection in EU/EEA countries in 2019 using multiparameter evidence synthesis

    Get PDF
    Publisher Copyright: © 2023 The Author(s)Background: Epidemiological data are crucial to monitoring progress towards the 2030 Hepatitis C Virus (HCV) elimination targets. Our aim was to estimate the prevalence of chronic HCV infection (cHCV) in the European Union (EU)/European Economic Area (EEA) countries in 2019. Methods: Multi-parameter evidence synthesis (MPES) was used to produce national estimates of cHCV defined as: π = πrecρrec + πexρex + πnonρnon; πrec, πex, and πnon represent cHCV prevalence among recent people who inject drugs (PWID), ex-PWID, and non-PWID, respectively, while ρrec, ρex, and ρnon represent the proportions of these groups in the population. Information sources included the European Centre for Disease Prevention and Control (ECDC) national operational contact points (NCPs) and prevalence database, the European Monitoring Centre for Drugs and Drug Addiction databases, and the published literature. Findings: The cHCV prevalence in 29 of 30 EU/EEA countries in 2019 was 0.50% [95% Credible Interval (CrI): 0.46%, 0.55%]. The highest cHCV prevalence was observed in the eastern EU/EEA (0.88%; 95% CrI: 0.81%, 0.94%). At least 35.76% (95% CrI: 33.07%, 38.60%) of the overall cHCV prevalence in EU/EEA countries was associated with injecting drugs. Interpretation: Using MPES and collaborating with ECDC NCPs, we estimated the prevalence of cHCV in the EU/EEA to be low. Some areas experience higher cHCV prevalence while a third of prevalent cHCV infections was attributed to PWID. Further efforts are needed to scale up prevention measures and the diagnosis and treatment of infected individuals, especially in the east of the EU/EEA and among PWID. Funding: ECDC.Peer reviewe
    corecore