Global Health Initiatives of the International Oncology Community

2017 ◽  
pp. 395-402
Author(s):  
Sana Al-Sukhun ◽  
Gilberto de Lima Lopes ◽  
Mary Gospodarowicz ◽  
Ophira Ginsburg ◽  
Peter Paul Yu
Keyword(s):  
Global Health ◽  
Cancer Control ◽  
Limited Resource ◽  
World Health ◽  
Effective Control ◽  
Global Health Initiatives ◽  
Middle Income ◽  
Resource Setting ◽  
Health Initiatives ◽  
Health Organization

Cancer has become one of the leading causes of morbidity and mortality in low- and middle-income countries (LMICs), where 60% of the world’s total new cases are diagnosed. The challenge for effective control of cancer is multifaceted. It mandates integration of effective cancer prevention, encouraging early detection, and utilization of resource-adapted therapeutic and supportive interventions. In the resource-constrained setting, it becomes challenging to deliver each service optimally, and efficient allocation of resources is the best way to improve the outcome. This concept was translated into action through development of resource-stratified guidelines, pioneered by the Breast Health Global Initiative (BHGI), and later adopted by most oncology societies in an attempt to help physicians deliver the best possible care in a limited-resource setting. Improving outcome entails collaboration between key stakeholders, including the pharmaceutical industry, local and national health authorities, the World Health Organization (WHO), and other nonprofit, patient-oriented organizations. Therefore, we started to observe global health initiatives—led by ASCO, the Union for International Cancer Control (UICC), and the WHO—to address these challenges at the international level. This article discusses some of these initiatives.

Characterizing the effectiveness of COVID-19 mitigation measures: A data-centric approach (Preprint)

2020 ◽  
Author(s):  
Lukman Olagoke ◽  
Ahmet E. Topcu
Keyword(s):  
Control Measure ◽  
Control Measures ◽  
World Health ◽  
Mitigation Measures ◽  
Effective Control ◽  
The World ◽  
Decision Making Processes ◽  
And Performance ◽  
Health Organization ◽  
The Impact

BACKGROUND COVID-19 represents a serious threat to both national health and economic systems. To curb this pandemic, the World Health Organization (WHO) issued a series of COVID-19 public safety guidelines. Different countries around the world initiated different measures in line with the WHO guidelines to mitigate and investigate the spread of COVID-19 in their territories. OBJECTIVE The aim of this paper is to quantitatively evaluate the effectiveness of these control measures using a data-centric approach. METHODS We begin with a simple text analysis of coronavirus-related articles and show that reports on similar outbreaks in the past strongly proposed similar control measures. This reaffirms the fact that these control measures are in order. Subsequently, we propose a simple performance statistic that quantifies general performance and performance under the different measures that were initiated. A density based clustering of based on performance statistic was carried out to group countries based on performance. RESULTS The performance statistic helps evaluate quantitatively the impact of COVID-19 control measures. Countries tend show variability in performance under different control measures. The performance statistic has negative correlation with cases of death which is a useful characteristics for COVID-19 control measure performance analysis. A web-based time-line visualization that enables comparison of performances and cases across continents and subregions is presented. CONCLUSIONS The performance metric is relevant for the analysis of the impact of COVID-19 control measures. This can help caregivers and policymakers identify effective control measures and reduce cases of death due to COVID-19. The interactive web visualizer provides easily digested and quick feedback to augment decision-making processes in the COVID-19 response measures evaluation. CLINICALTRIAL Not Applicable

Contemporary Global Health Governance Actors

2018 ◽  
Author(s):  
Jeremy Youde
Keyword(s):  
Global Health ◽  
World Health ◽  
Global Health Governance ◽  
Governance System ◽  
Health Governance ◽  
Current State ◽  
Funding Agencies ◽  
Health Organization ◽  
Private Actors ◽  
Public Versus Private

While Chapter 3 focuses primarily on the evolution of global health governance, Chapter 4 pays more attention to its contemporary manifestation as a secondary institution within international society. This chapter discusses the current state of the global health governance architecture—who the important actors are, how they operate, how they have changed over the past twenty-five years, and how they illustrate the fundamental beliefs and attitudes within the global health governance system. In particular, the chapter discusses the relative balance between state-based and non-state actors, as well as public versus private actors. This chapter highlights five key players within contemporary global health governance: states; the World Health Organization; multilateral funding agencies; public–private partnerships; and non-state and private actors

scholarly journals The power-trust cycle in global health: Trust as belonging in relations of dependency

2021 ◽  
pp. 1-21
Author(s):  
Emma-Louise Anderson ◽  
Laura Considine ◽  
Amy S. Patterson
Keyword(s):  
Global Health ◽  
Health Outcomes ◽  
Positive Health ◽  
Global Health Initiatives ◽  
Health Initiatives ◽  
Power Trust ◽  
Trust And Power ◽  
Positive Health Outcomes ◽  
Exercise Of Discretion ◽  
The Relationship

Abstract Trust between actors is vital to delivering positive health outcomes, while relationships of power determine health agendas, whose voices are heard and who benefits from global health initiatives. However, the relationship between trust and power has been neglected in the literatures on both international politics and global health. We examine this relationship through a study of relations between faith based organisations (FBO) and donors in Malawi and Zambia, drawing on 66 key informant interviews with actors central to delivering health care. From these two cases we develop an understanding of ‘trust as belonging’, which we define as the exercise of discretion accompanied by the expression of shared identities. Trust as belonging interacts with power in what we term the ‘power-trust cycle’, in which various forms of power undergird trust, and trust augments these forms of power. The power-trust cycle has a critical bearing on global health outcomes, affecting the space within which both local and international actors jockey to influence the ideologies that underpin global health, and the distribution of crucial resources. We illustrate how the power-trust cycle can work in both positive and negative ways to affect possible cooperation, with significant implications for collective responses to global health challenges.

Defining Preterm Birth and Stillbirth in the Western Pacific: A Systematic Review

2021 ◽  
pp. 101053952110260
Author(s):  
Mairead Connolly ◽  
Laura Phung ◽  
Elise Farrington ◽  
Michelle J. L. Scoullar ◽  
Alyce N. Wilson ◽  
...  
Keyword(s):  
Preterm Birth ◽  
National Level ◽  
Health Indicators ◽  
Western Pacific ◽  
World Health ◽  
Middle Income ◽  
Middle Income Countries ◽  
Definition Of ◽  
Health Organization ◽  
The Impact

Preterm birth and stillbirth are important global perinatal health indicators. Definitions of these indicators can differ between countries, affecting comparability of preterm birth and stillbirth rates across countries. This study aimed to document national-level adherence to World Health Organization (WHO) definitions of preterm birth and stillbirth in the WHO Western Pacific region. A systematic search of government health websites and 4 electronic databases was conducted. Any official report or published study describing the national definition of preterm birth or stillbirth published between 2000 and 2020 was eligible for inclusion. A total of 58 data sources from 21 countries were identified. There was considerable variation in how preterm birth and stillbirth was defined across the region. The most frequently used lower gestational age threshold for viability of preterm birth was 28 weeks gestation (range 20-28 weeks), and stillbirth was most frequently classified from 20 weeks gestation (range 12-28 weeks). High-income countries more frequently used earlier gestational ages for preterm birth and stillbirth compared with low- to middle-income countries. The findings highlight the importance of clear, standardized, internationally comparable definitions for perinatal indicators. Further research is needed to determine the impact on regional preterm birth and stillbirth rates.

scholarly journals Editorial for the Special Issue: “Honey Bee Products as an Alternative or Complement to Classical Antibiotics”

Antibiotics ◽  
2021 ◽  
Vol 10 (3) ◽  
pp. 234
Author(s):  
Piotr Szweda
Keyword(s):  
Global Health ◽  
World Health Organization ◽  
Honey Bee ◽  
World Health ◽  
Special Issue ◽  
Health Challenge ◽  
Health Organization ◽  
Global Health Challenge

Based on World Health Organization reports, the resistance of bacteria to well-known antibiotics is becoming a major global health challenge [...]

scholarly journals Countries with delayed COVID-19 introduction – characteristics, drivers, gaps, and opportunities

2021 ◽  
Vol 17 (1) ◽  
Author(s):  
Zheng Li ◽  
Cynthia Jones ◽  
Girum S. Ejigu ◽  
Nisha George ◽  
Amanda L. Geller ◽  
...  
Keyword(s):  
Geographic Location ◽  
Control Measures ◽  
World Health ◽  
Small Island ◽  
Influenza Surveillance ◽  
Middle Income ◽  
School Closing ◽  
Travel Restrictions ◽  
Potential Factors ◽  
Health Organization

Abstract Background Three months after the first reported cases, COVID-19 had spread to nearly 90% of World Health Organization (WHO) member states and only 24 countries had not reported cases as of 30 March 2020. This analysis aimed to 1) assess characteristics, capability to detect and monitor COVID-19, and disease control measures in these 24 countries, 2) understand potential factors for the reported delayed COVID-19 introduction, and 3) identify gaps and opportunities for outbreak preparedness, particularly in low and middle-income countries (LMICs). We collected and analyzed publicly available information on country characteristics, COVID-19 testing, influenza surveillance, border measures, and preparedness activities in these countries. We also assessed the association between the temporal spread of COVID-19 in all countries with reported cases with globalization indicator and geographic location. Results Temporal spreading of COVID-19 was strongly associated with countries’ globalization indicator and geographic location. Most of the 24 countries with delayed COVID-19 introduction were LMICs; 88% were small island or landlocked developing countries. As of 30 March 2020, only 38% of these countries reported in-country COVID-19 testing capability, and 71% reported conducting influenza surveillance during the past year. All had implemented two or more border measures, (e.g., travel restrictions and border closures) and multiple preparedness activities (e.g., national preparedness plans and school closing). Conclusions Limited testing capacity suggests that most of the 24 delayed countries may have lacked the capability to detect and identify cases early through sentinel and case-based surveillance. Low global connectedness, geographic isolation, and border measures were common among these countries and may have contributed to the delayed introduction of COVID-19 into these countries. This paper contributes to identifying opportunities for pandemic preparedness, such as increasing disease detection, surveillance, and international collaborations. As the global situation continues to evolve, it is essential for countries to improve and prioritize their capacities to rapidly prevent, detect, and respond, not only for COVID-19, but also for future outbreaks.

scholarly journals Effective Utilization of Limited Isolation Rooms to Provide Safe Patient Care and Staff Safety in a Low- and Middle-Income Country

2020 ◽  
Vol 41 (S1) ◽  
pp. s203-s204
Author(s):  
Rozina Roshanali
Keyword(s):  
Emergency Department ◽  
Tertiary Care ◽  
Limited Resource ◽  
Multidrug Resistant ◽  
Communicable Diseases ◽  
Care Hospital ◽  
Middle Income ◽  
Safe Patient Care ◽  
Bed Management ◽  
Resource Setting

Background: My tertiary-care hospital is a 750-bed hospital with only 17 airborne infection isolation room (AIIR) and negative-pressure rooms to isolate patients who have been diagnosed or are suspected with prevalent diseases like tuberculosis, measles, and chickenpox. On the other hand, only 14 single-patient isolation rooms are available to isolate patients with multidrug-resistant organisms (MDROs) such as CRE (carbapenum-resistant Enterobacter) or colistin-resistant MDROs. Due to the limited number of isolation rooms, the average number of hours to isolate infected patients was ~20 hours, which ultimately directly placed healthcare workers (HCWs) at risk of exposure to infected patients. Methods: Plan-Do-Study-Act (PDSA) quality improvement methodology was utilized to decrease the average number of hours to isolate infected patients and to reduce the exposure of HCWs to communicable diseases. A detailed analysis were performed to identify root causes and their effects at multiple levels. A multidisciplinary team implemented several strategies: coordination with information and technology team to place isolation alerts in the charting system; screening flyers and questions at emergency department triage; close coordination with admission and bed management office; daily morning and evening rounds by infection preventionists in the emergency department; daily morning meeting with microbiology and bed management office to intervene immediately to isolate patients in a timely way; infection preventionist on-call system (24 hours per day, 7 days per week) to provide recommendations for patient placement and cohorting of infected patients wherever possible. Results: In 1 year, a significant reduction was achieved in the number of hours to isolate infected patients, from 20 hours to 4 hours. As a result, HCW exposures to communicable diseases also decreased from 6.7 to 1.5; HCW exposures to TB decreased from 6.0 to 1.9; exposures measles decreased from 4.75 to 1.5; and exposures chickenpox decreased from 7.3 to 1.0. Significant reductions in cost incurred by the organization for the employees who were exposed to these diseases for postexposure prophylaxis also decreased, from ~Rs. 290,000 (~US$3,000) to ~Rs. 59,520 (~US$600). Conclusions: This multidisciplinary approach achieved infection prevention improvements and enhanced patient and HCW safety in a limited-resource setting.Funding: NoneDisclosures: None

scholarly journals Active Aging in ASEAN Countries: Influences from Age-Friendly Environments, Lifestyles, and Socio-Demographic Factors

2021 ◽  
Vol 18 (16) ◽  
pp. 8290
Author(s):  
Sariyamon Tiraphat ◽  
Vijj Kasemsup ◽  
Doungjai Buntup ◽  
Murallitharan Munisamy ◽  
Thang Huu Nguyen ◽  
...  
Keyword(s):  
Older People ◽  
Quantitative Research ◽  
World Health ◽  
Cluster Sampling ◽  
Active Aging ◽  
Older Population ◽  
Cross Sectional ◽  
Middle Income ◽  
Multi Stage ◽  
Health Organization

Active aging is a challenging issue to promote older population health; still, there is little clarity on research investigating the determinants of active aging in developing countries. Therefore, this research aimed to examine the factors associated with the active aging of the older populations in ASEAN’s low and middle-income countries by focusing on Malaysia, Myanmar, Vietnam, and Thailand. The study is a cross-sectional quantitative research study using multi-stage cluster sampling to randomize the sample. The sample consists of 2031 older people aged 55 years and over, including 510 Thai, 537 Malaysian, 487 Myanmar, and 497 Vietnamese. We collected a quantitative questionnaire of age-friendly environmental scale and active aging scale based on the World Health Organization (WHO) concept. The predictors of active aging include age-friendly environments, lifestyles, and socioeconomic factors; the data are analyzed by using multiple logistic regression. After adjusting for other factors, we found that older people living in a community with higher levels of age-friendly environments are 5.52 times more active than those in lower levels of age-friendly environments. Moreover, the older population with healthy lifestyles such as good dietary intake and high physical activity will be 4.93 times more active than those with unhealthy lifestyles. Additionally, older adults with partners, higher education, and aged between 55 and 64 years will be 1.70, 2.61, and 1.63 times more active than those with separate/divorce/widow, primary education, and age at 75 years or higher, respectively. Our results contribute considerable evidence for ASEAN policy-making to promote active aging in this region.

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