bluuebunny/crossref_metadata_2025_split huggingface dataset:
Community case management of malaria in Western Kenya: performance of community health volunteers in active malaria case surveillance
Authors: Otambo Wilfred Ouma , Ochwedo Kevin O. , Omondi Collince J. , Lee Ming-Chieh , Wang Chloe , Atieli Harrysone , Githeko Andew K. , Zhou Guofa , Kazura James , Githure John , Yan Guiyun 
Published: March 2023

Abstract
Background
In western Kenya, not all malaria cases are reported as stipulated in the community case management of malaria (CCMm) strategy. This underreporting affects the equity distribution of malaria commodities and the evaluation of interventions. The current study aimed to evaluate the effectiveness of community health volunteers’ active case detection and management of malaria in western Kenya.

Methods
Cross-sectional active case detection (ACD) of malaria survey was carried out between May and August 2021 in three eco-epidemiologically distinct zones in Kisumu, western Kenya: Kano Plains, Lowland lakeshore and Highland Plateau. The CHVs conducted biweekly ACD of malaria household visits to interview and examine residents for febrile illness. The Community Health Volunteers (CHVs) performance during the ACD of malaria was observed and interviews done using structured questionnaires.

Results
Of the total 28,800 surveyed, 2597 (9%) had fever and associated malaria symptoms. Eco-epidemiological zones, gender, age group, axillary body temperature, bed net use, travel history, and survey month all had a significant association with malaria febrile illness (p < 0.05). The qualification of the CHV had a significant influence on the quality of their service. The number of health trainings received by the CHVs was significantly related to the correctness of using job aid (χ2 = 6.261, df = 1, p = 0.012) and safety procedures during the ACD activity (χ2 = 4.114, df = 1, p = 0.043). Male CHVs were more likely than female CHVs to correctly refer RDT-negative febrile residents to a health facility for further treatment (OR = 3.94, 95% CI = 1.85–5.44, p < 0.0001). Most of RDT-negative febrile residents who were correctly referred to the health facility came from the clusters with a CHV having 10 years of experience or more (OR = 1.29, 95% CI = 1.05–1.57, p = 0.016). Febrile residents in clusters managed by CHVs with more than 10 years of experience (OR = 1.82, 95% CI = 1.43–2.31, p < 0.0001), who had a secondary education (OR = 1.53, 95% CI = 1.27–1.85, p < 0.0001), and were over the age of 50 (OR = 1.44, 95% CI = 1.18–1.76, p < 0.0001), were more likely to seek malaria treatment in public hospitals. All RDT positive febrile residents were given anti-malarial by the CHVs, and RDT negatives were referred to the nearest health facility for further treatment.

Conclusions
The CHV’s years of experience, education level, and age had a significant influence on their service quality. Understanding the qualifications of CHVs can assist healthcare systems and policymakers in designing effective interventions that assist CHVs in providing high-quality services to their communities.
Anti-malarial drug use, appropriateness and associated factors among children under-five with febrile illnesses presenting to a tertiary health facility: a cross sectional study
Authors: Nyeko Richard , Otim Felix , Obiya Evelyn Miriam , Abala Catherine 
Published: March 2023

Abstract
Background
Malaria is endemic in 95% of Uganda and constitutes the country’s most significant public health problem—being the leading cause of morbidity and mortality, especially among children under five years of age. The current national malaria treatment policy is to use artemisinin-based combination therapy (ACT) as first-line treatment, and recommends parasitological confirmation of malaria before therapy. Adherence to this policy, however, remains suboptimal, with the self-initiated home-based therapy being common—posing undue exposures to, and pressure on the current artemisinin-based combinations, with the danger of emergence of drug resistance. The study evaluated the anti-malarial use and its appropriateness among febrile children under five presenting to a tertiary health facility in northern Uganda in light of the current malaria treatment policy.

Methods
This was a cross-sectional study in a tertiary health facility in northern Uganda between March and September 2021. Children aged 6–59 months with fever were selected using systematic random sampling. A pretested interviewer-administered questionnaire was used to collect clinical data from the caregivers. Data were analysed using SPSS version 23. Descriptive statistics and multiple logistic regression models were applied. P-value < 0.05 was considered for statistical significance.

Results
Seventy-two (34.3%) of the 210 children with fever in this study used anti-malarials prior to the hospital visit, 29.2% (21/72) of which were on a self-medication basis, 22.2% (16/72) were empiric prescriptions—all of which inappropriate, and only 48.6% (35/72) were prescribed based on a parasitological diagnosis of malaria. The most commonly used anti-malarials were artemether-lumefantrine 60/72 (88.3%), while a lesser proportion of quinine 7/72 (9.7%), artesunate 3/72 (4.2%) and dihydroartemisinin-piperaquine 2/72 (2.8%) were used. The factors independently associated with anti-malarial use among the children with febrile illnesses were duration of fever (p = 0.001); level of the nearest facility (p = 0.027), distance from the nearest health facility (p = 0.025), and caregivers’ age (p = 0.038).

Conclusions
Inappropriate use of anti-malarials for childhood febrile illnesses is prevalent in the study setting, facilitated by the ease of over-the-counter access, empiric prescription and use of leftover anti-malarials. This calls for a need to address communities’ health-seeking behaviour and the health providers’ practice alike.
Patterns and correlates of nutrition knowledge across five countries in the 2018 international food policy study
Authors: Bhawra Jasmin , Kirkpatrick Sharon I. , Hall Marissa G. , Vanderlee Lana , White Christine M. , Hammond David 
Published: March 2023

AbstractBackgroundNutrition knowledge is an important determinant of diet-related behaviour; however, the use of disparate assessment tools creates challenges for comparing nutrition knowledge levels and correlates across studies, geographic contexts, and populations. Using the Food Processing Knowledge (FoodProK) score – a measure of nutrition knowledge based on consumers’ ability to understand and apply the concept of food processing in a functional task – nutrition knowledge levels and associated correlates were assessed in five countries.MethodsAdults, aged ≥18 years, were recruited through the Nielsen Consumer Insights Global Panel in Australia (n = 3997), Canada (n = 4170), Mexico (n = 4044), the United Kingdom (UK) (n = 5363), and the United States (US) (n = 4527). Respondents completed web-based surveys in November–December 2018. Functional nutrition knowledge was measured using the FoodProK score. Linear regression models examined associations between FoodProK score and sociodemographic, dietary behaviours, and knowledge-related characteristics.ResultsFoodProK scores (maximum, 8 points) were highest in Canada (mean: 5.1) and Australia (5.0), followed by the UK (4.8), Mexico (4.7), and the US (4.6). Health literacy and self-rated nutrition knowledge were positively associated with FoodProK scores (p < .001). FoodProK scores were higher among those who reported vegetarian/other dietary practices (p < .001); made efforts to consume less sodium, trans fats, or sugars (p < .001); ≥60 years (p = 0.002), female (p < .001), and ‘majority’ ethnic group respondents in their respective countries (p < .001).ConclusionsThis study found differences in consumers’ ability to distinguish levels of food processing for common foods, with somewhat lower levels of nutrition knowledge in countries with the highest intake of highly processed foods. Nutrition knowledge differences based on consumer characteristics highlight the need for accessible policy interventions that support uptake of healthy eating efforts across populations to avoid exacerbating nutrition-related disparities. Tools such as the FoodProK can be used to evaluate the impact of policies targeting nutrition knowledge across contexts.
ECG signal feature extraction trends in methods and applications
Authors: Singh Anupreet Kaur , Krishnan Sridhar 
Published: March 2023

AbstractSignal analysis is a domain which is an amalgamation of different processes coming together to form robust pipelines for the automation of data analysis. When applied to the medical world, physiological signals are used. It is becoming increasingly common in today’s day and age to be working with very large datasets, on the scale of having thousands of features. This is largely due to the fact that the acquisition of biomedical signals can be taken over multi-hour timeframes, which is another challenge to solve in and of itself. This paper will focus on the electrocardiogram (ECG) signal specifically, and common feature extraction techniques used for digital health and artificial intelligence (AI) applications. Feature extraction is a vital step of biomedical signal analysis. The basic goal of feature extraction is for signal dimensionality reduction and data compaction. In simple terms, this would allow one to represent data with a smaller subset of features; these features could then later be leveraged to be used more efficiently for machine learning and deep learning models for applications, such as classification, detection, and automated applications. In addition, the redundant data in the overall dataset is filtered out as the data is reduced during feature extraction. In this review, we cover ECG signal processing and feature extraction in the time domain, frequency domain, time–frequency domain, decomposition, and sparse domain. We also provide pseudocode for the methods discussed so that they can be replicated by practitioners and researchers in their specific areas of biomedical work. Furthermore, we discuss deep features, and machine learning integration, to complete the overall pipeline design for signal analysis. Finally, we discuss future work that can be innovated upon in the feature extraction domain for ECG signal analysis.
Strengthening and expanding health inequality monitoring for the advancement of health equity: a review of WHO resources and contributions
Authors: Hosseinpoor Ahmad Reza , Bergen Nicole , Kirkby Katherine , Schlotheuber Anne 
Published: March 2023

AbstractAs part of its commitment to advance health equity, the World Health Organization (WHO) has a developed area of work to promote and strengthen health inequality monitoring. This includes an emphasis on the collection, analysis and use of disaggregated health data, which are central to evidence-informed decision making. The aim of this paper is to review WHO's work on health inequality monitoring, namely the 2022–27 Inequality monitoring and analysis strategy and corresponding activities, resources and tools. The strategy has three goals pertaining to: strengthening capacity for health inequality monitoring; generating and disseminating the latest evidence on health inequality and supporting data disaggregation; and developing and refining health inequality monitoring methods, resources and best practices. In alignment with these goals, WHO has published reference materials focused on conceptual approaches to health inequality monitoring, which are applied in the global State of Inequality report series. The Health Inequality Monitoring eLearning channel on OpenWHO and capacity building workshops and webinars facilitate the uptake and application of inequality monitoring practices across diverse settings and stakeholders. A key tool available to support the analysis and reporting aspects of health inequality monitoring is the Health Equity Assessment Toolkit (HEAT) application, which allows users to explore data interactively. The Health Inequality Data Repository, a collection of the largest publicly available database of disaggregated data from around the globe, further enables inequality monitoring and analyses. This collection of resources is an important contribution to promote health inequality monitoring across diverse settings. The uptake of evidence from health inequality monitoring remains crucial to the advancement of equity as part of global health and development initiatives.
Social capital and women’s narratives of homelessness and multiple exclusion in northern England
Authors: McGrath Joanne , Crossley Stephen , Lhussier Monique , Forster Natalie 
Published: March 2023

AbstractWomen experiencing three or more co-occurring issues (homelessness, substance misuse, mental health) are a highly vulnerable population associated with multimorbidity. Taking women’s life stories of trajectories into social exclusion in the north of England as its focus, this paper aims to explore the complexity of social contexts in which women navigate extreme health inequalities. Of the few studies that have examined women’s experiences of homelessness through the lens of social capital, most have focused on network size, rather than the quality and influence of the relationships which precipitate or contextualise experiences of social exclusion. We utilise case studies to offer a theoretically-grounded analysis which illustrates the relationship between social capital and homelessness within this population. Our results illustrate how structural contexts, and specifically social capital accrual and social bonding processes particularly pertinent to women can act to both ameliorate and perpetuate social exclusion. We conclude by arguing that health inequalities cannot be tackled as single-issue processes but instead are multi-layered and complex.
Health equity related challenges and experiences during the rapid implementation of virtual care during COVID-19: a multiple case study
Authors: Shahid Simone , Hogeveen Sophie , Sky Philina , Chandra Shivani , Budhwani Suman , de Silva Ryan , Bhatia R. Sacha , Seto Emily , Shaw James 
Published: March 2023

Abstract
Background
Virtual care quickly became of crucial importance to health systems around the world during the COVID-19 pandemic. Despite the potential of virtual care to enhance access for some communities, the scale and pace at which services were virtualized did not leave many organizations with sufficient time and resources to ensure optimal and equitable delivery of care for everyone. The objective of this paper is to outline the experiences of health care organizations rapidly implementing virtual care during the first wave of the COVID-19 pandemic and examine whether and how health equity was considered.

Methods
We used an exploratory, multiple case study approach involving four health and social service organizations providing virtual care services to structurally marginalized communities in the province of Ontario, Canada. We conducted semi-structured qualitative interviews with providers, managers, and patients to understand the challenges experienced by organizations and the strategies put in place to support health equity during the rapid virtualization of care. Thirty-eight interviews were thematically analyzed using rapid analytic techniques.

Results
Organizations experienced challenges related to infrastructure availability, digital health literacy, culturally appropriate approaches, capacity for health equity, and virtual care suitability. Strategies to support health equity included the provision of blended models of care, creation of volunteer and staff support teams, participation in community engagement and outreach, and securement of infrastructure for clients. We put our findings into the context of an existing framework conceptualizing access to health care and expand on what this means for equitable access to virtual care for structurally marginalized communities.

Conclusion
This paper highlights the need to pay greater attention to the role of health equity in virtual care delivery and situate that conversation around existing inequitable structures in the health care system that are perpetuated when delivering care virtually. An equitable and sustainable approach to virtual care delivery will require applying an intersectionality lens on the strategies and solutions needed to address existing inequities in the system.
Equity in the public social healthcare protection in Tanzania: does it matter on household healthcare financing?
Authors: Kitole Felician Andrew , Lihawa Robert Michael , Mkuna Eliaza 
Published: March 2023

AbstractEfforts to promote equity in healthcare involve implementing policies and programs that address the root causes of healthcare disparities and promote equal access to care. One such program is the public social healthcare protection schemes. However, like many other developing countries, Tanzania has low health insurance coverage, hindering its efforts to achieve universal health coverage. This study examines the role of equity in public social healthcare protection and its effects on household healthcare financing in Tanzania. The study used secondary data collected from the National Bureau of Statistics' National Panel Survey 2020/21 and stratified households based on their place of residence (rural vs. urban). Moreover, the logit regression model, ordered logit, and the endogenous switching regression model were used to provide counterfactual estimates without selection bias and endogeneity problems. The results showed greater variations in social health protection across rural and urban households, increasing disparities in health outcomes between these areas. Rural residents are the most vulnerable groups. Furthermore, education, income, and direct healthcare costs significantly influence equity in healthcare financing and the ability of households to benefit from public social healthcare protection schemes. To achieve equity in healthcare in rural and urban areas, developing countries need to increase investment in health sector by reducing the cost of healthcare, which will significantly reduce household healthcare financing. Furthermore, the study recommends that social health protection is an essential strategy for improving fair access to quality healthcare by removing differences across households and promoting equality in utilizing healthcare services.
Analysis of intermunicipal journeys for cardiac surgery in Brazilian Unified Health System (SUS): an approach based on network theory
Authors: Sousa Ludmilla Monfort Oliveira , Pereira Hernane Borges de Barros , de Araújo Edna Maria , Miranda José Garcia Vivas 
Published: March 2023

AbstractIntroductionThe transformation of data into information is important to support decision making and, thus, to induce improvements in healthcare services. The regionalized organization of healthcare systems is necessary to ensure the integrity of citizen care. From this perspective, the creation of mechanisms to guide and assess the behavior of a healthcare services network becomes necessary. However, these mechanisms must consider the interaction between different municipalities. The objective of this study is to apply network analysis as a supporting tool in the Brazilian Unified Health System (Sistema Único de Saúde—SUS) management.MethodsThe stages of the proposed method are described and applied in a real situation, analyzing the intermunicipal interaction network for cardiovascular surgery in the municipality of Vitória da Conquista, Bahia, Brazil, from 2008 to 2020. The metrics analyzed were journeys indices, flow of patients and distance of the journeys, considering the journeys from and to the municipality in focus.ResultThere was an increase of the incoming flow and in-degree indices combined with a decrease in outgoing flow, showing the growing importance of this municipality as a provider of these services.ConclusionThe method used in the study has potential to be adopted as a management tool to assess the behavior of the interactions network of the selected service, aiding the regionalized organization of the healthcare system.
Critical windows of exposure to air pollution and gestational diabetes: assessing effect modification by maternal pre-existing conditions and environmental factors
Authors: Miron-Celis Marcel , Talarico Robert , Villeneuve Paul J. , Crighton Eric , Stieb David M. , Stanescu Cristina , Lavigne Éric 
Published: March 2023

Abstract
Background
Ambient air pollution has been associated with gestational diabetes (GD), but critical windows of exposure and whether maternal pre-existing conditions and other environmental factors modify the associations remains inconclusive.

Methods
We conducted a retrospective cohort study of all singleton live birth that occurred between April 1st 2006 and March 31st 2018 in Ontario, Canada. Ambient air pollution data (i.e., fine particulate matter with a diameter ≤ 2.5 μm (PM2.5), nitrogen dioxide (NO2) and ozone (O3)) were assigned to the study population in spatial resolution of approximately 1 km × 1 km. The Normalized Difference Vegetation Index (NDVI) and the Green View Index (GVI) were also used to characterize residential exposure to green space as well as the Active Living Environments (ALE) index to represent the active living friendliness. Multivariable Cox proportional hazards regression models were used to evaluate the associations.

Results
Among 1,310,807 pregnant individuals, 68,860 incident cases of GD were identified. We found the strongest associations between PM2.5 and GD in gestational weeks 7 to 18 (HR = 1.07 per IQR (2.7 µg/m3); 95% CI: 1.02 – 1.11)). For O3, we found two sensitive windows of exposure, with increased risk in the preconception period (HR = 1.03 per IQR increase (7.0 ppb) (95% CI: 1.01 – 1.06)) as well as gestational weeks 9 to 28 (HR 1.08 per IQR (95% CI: 1.04 –1.12)). We found that women with asthma were more at risk of GD when exposed to increasing levels of O3 (p- value for effect modification = 0.04). Exposure to air pollutants explained 20.1%, 1.4% and 4.6% of the associations between GVI, NDVI and ALE, respectively.

Conclusion
An increase of PM2.5 exposure in early pregnancy and of O3 exposure during late first trimester and over the second trimester of pregnancy were associated with gestational diabetes whereas exposure to green space may confer a protective effect.