Evidence-based Policy Research Articles

Exploring Thermal Discomfort during Mediterranean Heatwaves through Softscape and Hardscape ENVI-Met Simulation Scenarios

The study examines the effectiveness of various design strategies in alleviating the impacts of heatwaves in the Mediterranean region, focusing on a densely populated post-refugee urban area in Greece. By analyzing five different design scenarios, the study aims to identify the most efficient approach to mitigate thermal stress outdoors. The five design scenarios include changes in albedo values and coatings and alterations in the number and type of trees. The methodology includes a literature review, field work and microclimate simulations with the use of ENVI-met 5.6.1. The study evaluates ENVI-met data through potential air temperature, PET and UTCI analysis. The experimental results indicate that the most effective strategy is associated with urban greening. In particular, increasing tree cover considerably reduces air temperature, PET and UTCI values by 4 to 10 degrees Celsius. This finding highlights the potential of urban greening to enhance thermal comfort and combat heatwave effects. The research findings may be useful to landscape architects and urban designers, in light of a more climate-responsive urban design in the Mediterranean region. Future research may also assess the combined impact of multiple mitigation strategies on a larger scale, informing evidence-based policies for heatwave resilience.

Risk-Based Approach in Control and Supervisory Activities and the Principle of Evidence-Based Policy

Risk-Based Approach in Control and Supervisory Activities and the Principle of Evidence-Based Policy

Gender equality and women’s empowerment in Arab countries: a bibliometric review of the literature on SDG 5

Purpose This manuscript conducts a bibliometric analysis of scholarly literature on sustainable development goal 5 (SDG 5) – gender equality, focusing on Arab countries. The purpose is to comprehensively assess the research landscape, identify trends, contributors and research hotspots and inform evidence-based policies for advancing gender equality in the region. Design/methodology/approach A descriptive bibliometric analysis was used, using the Scopus database for data collection. The study covers English-language research papers published in peer-reviewed journals between 1993 and 2022, using a comprehensive search strategy focused on gender equality in Arab countries. Findings The analysis of 634 papers revealed a steep rise in publications post-2015, aligning with the adoption of SDGs. The growth trajectory and citation analysis demonstrated a significant increase in both publications and impact over the last decade. The study identified prolific journals, subject areas, countries, institutions and authors contributing to the literature on gender equality in Arab countries. Notable research hotspots include domestic violence, female genital mutilation, women’s empowerment, microfinance and gender-based violence. Originality/value This study contributes to the literature by providing a detailed bibliometric review of SDG 5 research in Arab countries, offering insights into the growth patterns, prolific contributors and research hotspots. The identification of recent research topics, such as child marriage in conflict contexts and female leadership, adds originality to the analysis.

A comparison of new transport projects in Sydney, Australia: Decomposition of the impact on residential property prices

Public transport projects are expensive, long-lived and their funding is often a challenge. As a result, relevant authorities around the world are concerned in understanding the economic impacts induced by these new public transport projects and, in particular, whether any increases in land value which may follow an investment (referred to as land value uplift) can be ‘captured’ as a potential source of funding. Land value uplift can occur at different stages of a project and might not be only due to the improved accessibility of the project. This study focusses on understanding the complexity of land value uplift on residential properties resulting from three public transport projects in Sydney, Australia (two light rail projects and one heavy rail), as a way of providing insights to create evidence-based value capture policies. Multilevel models are presented comparing the affected or ‘catchment’ areas of the projects with what is referred to as a ‘control area’ where the investment has not had an impact. The total residential land value uplift is analysed prior and post implementation – and decomposed into what can be attributed to improved accessibility, property characteristics, neighbourhood characteristics, time series, and unobserved uplift. The results show that the anticipated value uplift before the projects’ implementation is significantly higher for the heavy rail project (between 12 and 15 per cent after its construction process started for properties located within 800 m from the station) than for the light rail project (5.7 per cent only for properties located within 400 m from the station), but it is close to zero for the project that represents the anticipated uplift for a light rail extension project after its announcement. However, there is a significant value uplift for the light rail extension project after its implementation (around 6 per cent) which is mainly due to the accessibility improvements. The distance to stations also showed to be significant in the light rail and heavy rail projects, with properties closer to the stations having a higher anticipated value uplift.

Cross-sectional analysis of socioeconomic drivers of PM2.5 pollution in emerging SAARC economies

Within the intricate interplay of socio-economic, natural and anthropogenic factors, haze pollution stands as a stark emblem of environmental degradation, particularly in the South Asian Association for Regional Cooperation (SAARC) region. Despite significant efforts to mitigate greenhouse gas emissions, several SAARC nations consistently rank among the world’s most polluted. Addressing this critical research gap, this study employs robust econometric methodologies to elucidate the dynamics of haze pollution across SAARC countries from 1998 to 2020. These methodologies include the Pooled Mean Group (PMG) and Augmented Mean Group (AMG) estimator, Panel two-stage least squares (TSLS), Feasible Generalized Least Squares (FGLS) and Dumitrescu–Hurlin (D–H) causality test. The analysis reveals a statistically significant cointegrating relationship between PM2.5 and economic indicators, with economic development and consumption expenditure exhibiting positive associations and rainfall demonstrating a mitigating effect. Furthermore, a bidirectional causality is established between temperature and economic growth, both influencing PM2.5 concentrations. These findings emphasize the crucial role of evidence-based policy strategies in curbing air pollution. Based on these insights, recommendations focus on prioritizing green economic paradigms, intensifying forest conservation efforts, fostering the adoption of eco-friendly energy technologies in manufacturing and proactively implementing climate-sensitive policies. By embracing these recommendations, SAARC nations can formulate comprehensive and sustainable approaches to combat air pollution, paving the way for a healthier atmospheric environment for their citizens.

Infectious disease surveillance needs for the United States: lessons from Covid-19.

The COVID-19 pandemic has highlighted the need to upgrade systems for infectious disease surveillance and forecasting and modeling of the spread of infection, both of which inform evidence-based public health guidance and policies. Here, we discuss requirements for an effective surveillance system to support decision making during a pandemic, drawing on the lessons of COVID-19 in the U.S., while looking to jurisdictions in the U.S. and beyond to learn lessons about the value of specific data types. In this report, we define the range of decisions for which surveillance data are required, the data elements needed to inform these decisions and to calibrate inputs and outputs of transmission-dynamic models, and the types of data needed to inform decisions by state, territorial, local, and tribal health authorities. We define actions needed to ensure that such data will be available and consider the contribution of such efforts to improving health equity.

Building bridges: evaluating policymakers' research capacities, engagement, and utilization in health policymaking within the Kuwaiti context: a cross-sectional study

BackgroundHealth policymaking is a critical aspect of governmental decision-making that shapes the well-being of populations. In the Middle East and North Africa, particularly in Kuwait, limited attention has been given to exploring the research capacities, engagement, and utilization among health policymakers. This study aims to bridge this gap by investigating how Kuwaiti health policymakers incorporate evidence-based research into the formulation of health-related policies.MethodsThis cross-sectional study targeted health policymakers in leadership positions within the Kuwait Ministry of Health (MOH). Using the Seeking, Engaging with and Evaluating Research (SEER) questionnaire, participants' capacities, engagement, and use of research were assessed. The targeted sample was all health policymakers in leadership positions, starting from the head of departments and above. The questionnaire comprises four domains, 14 sections, and 50 questions and utilizes Likert and binary scales, with aggregate scores predicting engagement actions and research use. The data were collected between March and July 2023. All the statistical analyses were performed using SPSS v27, and the numerical and categorical variables were analyzed using appropriate statistical tests, including t-tests, ANOVA, and Pearson's correlation.ResultsOut of 205 policymakers, 88 participated (42.9% response rate): predominantly male (51.1%) and married (78.4%). The mean age was 49.84 ± 7.28 years, with a mean MOH tenure of 24.39 ± 6.80 years. Participants demonstrated high value for research (mean score 4.29 ± 0.55) and expressed confidence in the research utilization. Organizational emphasis on research use exhibited nuanced perceptions, identifying areas where MOH support may be lacking. Access to research resources and processes for policy development guidance were highlighted as challenges.ConclusionsThis study provides crucial insights into the research capacities and engagement of Kuwaiti health policymakers. It emphasizes the need for targeted interventions to align individual perceptions with organizational expectations, address confidence disparities, and enhance collaborative efforts. Organizational investments are crucial for fostering a dynamic research ecosystem to improve evidence-based policy development in Kuwait's healthcare landscape.

Changes in maternity care policies and practices that support breastfeeding as measured by the Ten Steps to Successful Breastfeeding — United States, 2018–2022

BackgroundExperiences during the birth hospitalization affect a family’s ability to establish and maintain breastfeeding. The Ten Steps to Successful Breastfeeding (Ten Steps) describe evidence-based hospital policies and practices shown to improve breastfeeding outcomes. We aim to describe hospitals’ implementation of the Ten Steps, changes over time, and hospitals’ implementation of a majority (≥ 6) of the Ten Steps by hospital characteristics and state.MethodsThe biennial Maternity Practices in Infant Nutrition and Care (mPINC) survey assesses all hospitals in the United States (including the District of Columbia and territories) that routinely provide maternity care services. We analyzed data from 2018, 2020, and 2022 survey cycles to describe trends in the prevalence of hospitals implementing maternity care policies and practices that are consistent with the Ten Steps. Differences were calculated using the absolute difference in percentage-points between 2018 and 2022.ResultsBetween 2018 and 2022, the percentage of hospitals that implemented Step 2: Staff Competency and Step 5: Support Mothers with Breastfeeding increased 12 and 8 percentage points, respectively. The percentage of hospitals that implemented Step 6: Exclusive Breastfeeding Among Breastfed Infants was 7 percentage points lower in 2022 than 2018. Implementation of the remaining seven steps did not change by more than 5 percentage points in either direction between 2018 and 2022. Nationally, the percentage of hospitals that implemented ≥ 6 of the Ten Steps increased from 44.0% in 2018 to 51.1% in 2022. Differences were seen when comparing implementation of ≥ 6 of the Ten Steps by hospital characteristics including state, hospital size, and highest level of neonatal care offered.ConclusionsNationally, maternity care policies and practices supportive of breastfeeding continued to improve; however, certain practices lost progress. Differences in implementation of the Ten Steps were observed across states and by certain hospital characteristics, suggesting more work is needed to ensure all people receive optimal breastfeeding support during their delivery hospitalization.

Promoting physical activity and healthy diets by modifying the social and/or physical environment at local level: a scoping review of evidence-based policy actions.

Background We aimed to map evidenced-based policy actions proposed by public health institutes or organizations to promote physical activity and healthy diets by modifying the social and/or physical environment at the local level. Methods We conducted a scoping review to identify relevant evidence-based policy actions proposed by public health institutions. We used a two-step strategy to identify government-supported public health institutes or organizations that generate evidence-based recommendations for policy actions. We included policy actions if they 1) aimed at increasing physical activity or improving diet; 2) focused on modifying the physical or social environments; 3) were implemented at the local or community level; 4) were expressed as a concrete action rather than a general aim; and 5) were described explicitly as being based on evidence. Results Starting from 121 public health institutes, we identified 8 relevant organizations and reviewed 63 guidelines or reports that included actions to promote healthy diets and physical activity. Of the 540 proposed actions on diet and 358 on physical activity, 118 met the inclusion criteria. Given that many of the actions were recommended by multiple institutes, we synthesized the information in the infographics to provide recommendations on diet and physical activity in outdoor and indoor settings and schools. Conclusions Public health institutes have generated a wide range of evidence-based recommendations for the promotion of healthy diets and physical activity by modifying the physical and social environment that can be implemented in local settings. Future actions should address barriers to implementing these recommendations and analyze the determinants of local policy decisions.

Delay in the Diagnosis of Pediatric Brain Tumors in Low- and Middle-Income Countries: A Systematic Review and Meta-Analysis.

Vague symptoms and a lack of pathognomonic features hinder the timely diagnosis of pediatric brain tumors (PBTs). However, patients in low- and middle-income countries (LMICs) must also bear the brunt of a multitude of additional factors contributing to diagnostic delays and subsequently affecting survival. Therefore, this study aims to assess these factors and quantify the durations associated with diagnostic delays for PBTs in LMICs. A systematic review of extant literature regarding children from LMICs diagnosed with brain tumors was conducted. Articles published before June 2023 were identified using PubMed, Google Scholar, Scopus, Embase, Cumulative Index to Nursing and Allied Health Literature, and Web of Science. A meta-analysis was conducted using a random-effects model through R Statistical Software. Quality was assessed using the Newcastle Ottawa Scale. A total of 40 studies including 2483 patients with PBT from 21 LMICs were identified. Overall, nonspecific symptoms (62.5%) and socioeconomic status (45.0%) were the most frequently reported factors contributing to diagnostic delays. Potential sources of patient-associated delay included lack of parental awareness (45.0%) and financial constraints (42.5%). Factors contributing to health care system delays included misdiagnoses (42.5%) and improper referrals (32.5%). A pooled mean prediagnostic symptomatic interval was calculated to be 230.77 days (127.58-333.96), the patient-associated delay was 146.02 days (16.47-275.57), and the health care system delay was 225.05 days (-64.79 to 514.89). A multitude of factors contribute to diagnostic delays in LMICs. The disproportionate effect of these factors is demonstrated by the long interval between symptom onset and the definitive diagnosis of PBTs in LMICs, when compared with high-income countries. While evidence-based policy recommendations may improve the pace of diagnosis, policy makers will need to be cognizant of the unique challenges patients and health care systems face in LMICs.

The State of Marine Social Science: Yesterday, Today, and into the Future.

Rapidly changing ocean conditions are resulting in changes in marine species and across entire ecosystems that, in turn, affect communities and individuals who rely on these resources for their livelihoods, culture, and sustenance. Marine social science, an emerging field that embraces diverse methods to understand human-ocean relationships, is increasingly called on to contribute to transdisciplinary ocean science that can inform the evidence-based policy and management needed to address these changes. Here, we review the state of marine social science as a growing field of study. First, we outline the history of marine social science, including the emergence of the field and the social science disciplines and community it encompasses. We then discuss current marine social science research themes as a framework to understand key ocean issues, which is followed by a commentary on the future of marine social science research.

Towards the automation of systematic reviews using natural language processing, machine learning, and deep learning: a comprehensive review

Systematic reviews (SRs) constitute a critical foundation for evidence-based decision-making and policy formulation across various disciplines, particularly in healthcare and beyond. However, the inherently rigorous and structured nature of the SR process renders it laborious for human reviewers. Moreover, the exponential growth in daily published literature exacerbates the challenge, as SRs risk missing out on incorporating recent studies that could potentially influence research outcomes. This pressing need to streamline and enhance the efficiency of SRs has prompted significant interest in leveraging Artificial Intelligence (AI) techniques to automate various stages of the SR process. This review paper provides a comprehensive overview of the current AI methods employed for SR automation, a subject area that has not been exhaustively covered in previous literature. Through an extensive analysis of 52 related works and an original online survey, the primary AI techniques and their applications in automating key SR stages, such as search, screening, data extraction, and risk of bias assessment, are identified. The survey results offer practical insights into the current practices, experiences, opinions, and expectations of SR practitioners and researchers regarding future SR automation. Synthesis of the literature review and survey findings highlights gaps and challenges in the current landscape of SR automation using AI techniques. Based on these insights, potential future directions are discussed. This review aims to equip researchers and practitioners with a foundational understanding of the basic concepts, primary methodologies, and recent advancements in AI-driven SR automation while guiding computer scientists in exploring novel techniques to invigorate further and advance this field.

Identifying the challenges of policy content related to high-risk sexual behaviors, stimulant drugs, and alcohol consumption in adolescents

BackgroundThis study aims to identify policy content challenges related to high-risk sexual behaviors, stimulant drugs, and alcohol consumption in Iranian adolescents.MethodsThis qualitative study analyzed high-level and national documents pertaining to adolescent health, high-risk sexual behaviors, stimulant, and alcohol consumption in adolescents. The documents, which were published by public organizations between January 1979 and February 2023 and publicly available, were complemented by interviews with policymakers and executives. The study involved reviewing 51 papers and conducting interviews with 49 policymakers and executives at the national, provincial, and local levels who were involved in addressing adolescent behaviors related to high-risk sexual behaviors, stimulant, and alcohol consumption. The data collected was analyzed using conventional content analysis.ResultsThe study’s results involved examining policy content and identifying challenges related to policy content. The analysis revealed that from the beginning of the Iranian revolution in 1979 until the late 1990s, the dominant approach in Iran was to deny the existence of high-risk behaviors among adolescents. However, in the early 2000s, the country began to adopt a new approach that acknowledged the social harms and ineffectiveness of previous strategies. As a result, a new policy framework was introduced to address high-risk behaviors among adolescents. The study’s interviews with policymakers and executives identified 12 challenges related to policy content, including parallel programs, lack of institutional mapping, lack of evidence-based policymaking, lack of integrated approach regarding training, late parent training, lack of consideration of all occurrence reasons in adolescents’ high-risk behaviors policymaking, and the existence of many abstinence policies regarding high-risk behaviors.ConclusionsThe study’s findings suggest that high-risk behaviors among adolescents in Iran are primarily a health issue, rather than a social or ideological one. Unfortunately, ideological approaches, stigma, and policymaking based on anecdotes rather than evidence have had a significant impact on this area. To improve policymaking in this domain, it is crucial to address these challenges by tackling stigma, adopting an integrated and holistic approach, and implementing evidence-based policies that consider all relevant aspects, including adolescents’ subcultures and policy audiences. Such an approach can also be useful for other countries facing similar conditions.

Climate, weather, and child health: quantifying health co-benefits

Climate change affects human health negatively in a number of complex ways, and children are particularly vulnerable. Quantifying the negative impacts of climate change on health, and identifying locations where children are at greater risk, can aid evidence-based policy making. We combine high-resolution climatic data with a dataset on infant and child mortality, wasting, and stunting, from more than a hundred countries, to estimate the effects of both gradual and acute climate change, focusing on drought and heatwaves, to plausibly attribute changing child health outcomes to historical climate change. Our results suggest a non-linear relationship between temperature and children’s health, adverse effects of increases in acute events, and a strong regional heterogeneity in these impacts. Our findings also highlight the importance of poverty reduction. Greater wealth is associated with better child health outcomes, and partially mitigates the negative impacts of climate change on child health. Finally, using updated warming scenarios, our projections show that there are substantial health co-benefits from achieving low emissions scenarios.

Exploring the Impact of Facebook Usage on Nepali Users: A Survey Study Conducted on the Facebook Platform

Background: Facebook significantly influences Nepal's social interactions, psychological well-being, and cultural norms. Given its wide adoption among Nepali users, understanding its effects within the diverse socio-cultural context, especially among youth, is essential. Objective: This study aims to assess how Facebook impacts Nepali users' social interactions, psychological well-being, and cultural expression, guiding evidence-based interventions and policies promoting responsible social media use in Nepal. Method: This quantitative study collects data from Nepali users using an online survey exclusively on Facebook. Stratified random sampling (minimum 384 respondents) ensures demographic diversity. SPSS analyses data using descriptive statistics for demographic profiles and Facebook usage patterns. Inferential statistics (correlation, regression) explore relationships between Facebook usage and impacts. Results: Preliminary findings show that diverse Facebook usage patterns among Nepali users affect social interactions and psychological well-being. Correlational analysis indicates links between usage intensity and specific outcomes. Qualitative insights reveal cultural themes in online interactions. Conclusion: The study highlights the nuanced impact of Facebook in Nepal, emphasizing the need for targeted interventions. By comprehending these effects, policymakers can create effective strategies that harness Facebook's advantages while mitigating risks, ultimately promoting healthier social media engagement in Nepal.

ANALISIS PENGARUH PERTUMBUHAN EKONOMI, PENDIDIKAN, DAN TINGKAT PENGANGGURAN TERHADAP KEMISKINAN DI INDONESIA TAHUN 2013 - 2022

This study examines the impact of economic growth, education, and unemployment rates on poverty in Indonesia. While numerous studies have explored these relationships, this research aims to fill the gap by utilizing recent data and the Random Effect model for panel data analysis. The objective is to understand how these variables influence poverty levels and to provide relevant policy recommendations. The methodology includes t-statistics to test the partial effects and F-statistics to test the simultaneous effects of the independent variables on the dependent variable. The findings indicate that economic growth does not significantly affect poverty, whereas education and unemployment rates have significant impacts. The conclusions suggest the importance of income redistribution policies, improving access to and quality of education, and job creation in reducing poverty. This research contributes by highlighting the crucial roles of education and unemployment in the context of poverty alleviation in Indonesia and proposes evidence-based policies to support more inclusive development.

Retraction notice to Cost-effectiveness of the Recombinant Zoster Vaccine among People Living with Human Immunodeficiency Virus in Japan: [VHRI Volume 44, November 2024, 101025]

ObjectivesPeople living with HIV (PLWHIV) are susceptible to opportunistic infections including herpes zoster (HZ) and postherpetic neuralgia (PHN). The recombinant zoster vaccine (RZV) (Shingrix) is available in some countries. However, the cost-effectiveness for PLWHIV remains unknown. This study aimed to analyze the cost-effectiveness of RZV for PLWHIV ≥50 years old. MethodsA Markov model was developed to compare the cost-effectiveness of the 2-dose RZV immunization program with no RZV immunization for PLWHIV aged ≥50 years. We built the model with a yearly cycle over a 30-year period and 6 health conditions: HZ free, HZ, PHN, HZ/PHN recovery, HZ recurrence, and death. The parameters in the model were based on previous studies and a nationwide administrative claims database in Japan. The incremental cost-effectiveness ratio (ICER), expressed as Japanese yen (JPY) per the quality-adjusted life-years (QALYs), was estimated from a societal perspective. We conducted a one-way deterministic sensitivity analysis, probabilistic sensitivity analysis with Monte Carlo simulations of 10 000 samples, and scenario analyses. ResultsThe ICER of the 2-dose RZV immunization program over no RZV immunization was 78 777 774 JPY (approximately 600 000 US dollars)/QALY. The one-way deterministic sensitivity analysis showed that HZ-related utility was the most significant for ICER. All estimates in the probabilistic sensitivity analysis were located above the willingness-to-pay threshold of 5 million JPY/QALY. ConclusionsOur study revealed that no RZV immunization was more cost-effective than the 2-dose RZV immunization program for PLWHIV aged ≥50 years. This may be useful in evidence-based policy making.

Early childhood inequalities: the rocky path from observation to action

Abstract The article on early childhood inequalities by Cattan and colleagues identifies a broad range of socio- and geo-demographic correlates of children’s cognitive and social–emotional development in early life through analyses of three UK population cohort studies. The findings suggest that early life inequalities are driven by a complex nexus of multiple, often inter-correlated factors that each have a small independent effect size. In this commentary, I discuss three key implications for research and practice that follow from the work of Cattan et al.: (1) the urgent need for a theoretical framework to identify and test the mechanisms that drive early life inequalities; (2) the persistent obstacles to ameliorating early childhood inequality; and (3) the immense value of population cohort studies for understanding socio-historical trends and developing evidence-based policies.

Can we still ensure no one is left behind by 2030? Demonstrating the potential of the implementation of the WHO Functioning and Disability Disaggregation Tool (FDD11) in existing survey platforms for disaggregating SDG indicators by disability

Purpose: The world is approaching the sustainable development goals deadline, but many countries still do not produce the data required to track their indicators by disability. Integrating valid and relievable disability measurement tools into existing data platforms is key to ensuring that “no one is left behind.” In this paper, we aim to demonstrate that it is possible to gather valid data on disability for disaggregation using the WHO Functioning and Disability Disaggregation Tool.Materials and methods: Using representative data from India, Lao PDR, and Tajikistan collected through the Gallup World Poll, we estimated the likelihood of a positive sustainable development indicator by disability level. Logit regression was used, adjusted for age, sex, household size, number of children, marital status, urban or rural area, and country-fixed effects.Results: Our estimates showed a consistent disability gradient across all countries and indicators: the higher the level of disability, the lower the probability of having a positive outcome in barely any sustainable development goal.Conclusion: Our study demonstrates that it is not too late to generate sound and precise data about inequalities faced by persons with mild, moderate, or severe disability. This data is essential for reducing inequalities through evidence-based policymaking.

The hows and whys of gendered grouping practices in primary physical education in England

ABSTRACT Background: Single- and mixed-sex grouping have long been a focus of attention in physical education (PE) and are matters often at the fore of discussions about curriculum planning, teaching, and learning. Nonetheless, there remains little consensus or guidance on which approach (or combination of approaches) should be preferred in PE in primary and secondary schools in England. Further, while single- and mixed-sex grouping have been extensively researched in PE in secondary schools, hitherto there remains an absence of research examining these practices in PE in primary schools. This research sought to address gaps in the literature to build a stronger evidence-base for decisions about gendered grouping practices in PE. Specifically, the study was designed to provide a snapshot of current single- and mixed-sex grouping arrangements in primary PE in England. Method: Data were collected via an online survey which was administered to all state-funded mainstream and special schools providing for children in Key Stage 1 (aged 5–7) and/or Key Stage 2 (aged 7–11) in the North-East of England (917 at the time of study). A total of 254 surveys were completed giving a response rate of 27.7%. Results: The responses indicate that nearly all schools were using mixed-sex grouping for PE, with children typically remaining in their mixed-sex form class and taught the same curriculum activities by their class teacher. Notably, no schools were using single-sex grouping for all PE lessons, although some were teaching combinations of single- and mixed-sex classes across different year groups and/or different activities of the curriculum. The responses also challenge the traditional dichotomous representation of single- and mixed-sex grouping by showing that some schools were grouping children into smaller single-sex groups within mixed-sex PE classes, particularly in activities requiring bodily contact. Some schools were also organising children into smaller mixed-sex groups within mixed-sex PE classes to encourage boys and girls to work together and support one another in their learning. Reported reasons for current grouping arrangements reflected both pragmatic considerations and perceived educational benefits of particular approaches, including school timetabling and consideration of gender equity in curriculum provision in PE. Conclusion: The conclusion calls for further research to explore the efficacy of single- and/or mixed-sex grouping in supporting and meeting the needs of all children in primary PE. Relatedly, we also highlight the importance of intersectional perspectives being brought to single- and mixed-sex grouping debates to inform the development of more nuanced, evidence-based policies and practices that promote inclusion and celebrate the diversity of children. We further suggest a need for research and policy to reconsider the language used in grouping practices to reflect commitments to gender diversity and gender equity.