Ethics and Health Communication in English: Tackling the Consequences of Colonial Era Linguicism and Racism.

Sri Lanka, once a colony of Britain, gained independence in 1948. However, especially the health sector continues to use English as its main medium of communication. Such language bias leads to marginalization of those less fluent in English, and hinders achieving a higher level of health literacy. Discrimination of people or social groups based on their language is termed linguicism. Tackling linguicism requires an understanding of its historic roots and an exploration of potential links to colonial racial prejudices. Published literature presents evidence that traces linguicism to language policies of the British colonial government (1815-1948). Though an exhaustive survey of historical records is not presented, there is reasonable evidence to suggest a close link. British colonial rule derived its justification from supremacist and racist ideology. As a result, English became the medium in all forms of official communications, a situation that persisted after independence. A similar situation exists in many parts of the worlds. We should recognize language-based discrimination and linguicism as public health issues. They are detrimental to health of vulnerable groups and have the potential to worsen health disparities.

COVID-19 and future pandemics: a global systems approach and relevance to SDGs.

BACKGROUND: The COVID-19 pandemic is adversely impacting modern human civilization. A global view using a systems science approach is necessary to recognize the close interactions between health of animals, humans and the environment. DISCUSSION: A model is developed initially by describing five sequential or parallel steps on how a RNA virus emerged from animals and became a pandemic: 1. Origins in the animal kingdom; 2. Transmission to domesticated animals; 3. Inter-species transmission to humans; 4. Local epidemics; 5. Global spread towards a pandemic. The next stage identifies global level determinants from the physical environments, the biosphere and social environment that influence these steps to derive a generic conceptual model. It identifies that future pandemics are likely to emerge from ecological processes (climate change, loss of biodiversity), anthropogenic social processes (i.e. corporate interests, culture and globalization) and world population growth. Intervention would therefore require modifications or dampening these generators and prevent future periodic pandemics that would reverse human development. Addressing issues such as poorly planned urbanization, climate change and deforestation coincide with SDGs such as sustainable cities and communities (Goal 11), climate action (Goal 13) and preserving forests and other ecosystems (Goal 15). This will be an added justification to address them as global priorities. Some determinants in the model are poorly addressed by SDGs such as the case of population pressures, cultural factors, corporate interests and globalization. The overarching process of globalization will require modifications to the structures, processes and mechanisms of global governance. The defects in global governance are arguably due to historical reasons and the neo-liberal capitalist order. This became evident especially in the aftermath of the COVID-19 when the vaccination roll-out led to violations of universal values of equity and right to life by some of the powerful and affluent nations. A systems approach leads us to a model that shows the need to tackle several factors, some of which are not adequately addressed by SDGs and require restructuring of global governance and political economy.

Lessons from the frontlines: a junior doctor's experience of the first wave of the COVID-19 pandemic in a resource-limited setting.

COVID-19 has stressed healthcare systems across the globe. We present the experience of an intern medical officer working in a tertiary care hospital during the first wave of the pandemic in Sri Lanka. Her narrative describes how the stress of the pandemic brought into sharp focus the strengths and weaknesses in the health system. We suggest some strategies to improve our health services as the world faces the second wave and an uncertain future. These include structural changes in healthcare services at institutional and national levels, focused educational programmes for healthcare professionals to impart generic skills of disaster management, and the development of telehealth services and computerisation of health systems. We believe that we must maintain this focus to ensure that our patients can be guaranteed quality healthcare in the future.

Non-invasive assessment of endothelial dysfunction: A novel method to predict severe COVID-19?

The COVID-19 pandemic caused by the SARS-CoV-2 virus has infected millions and overburdened the healthcare infrastructure globally. Recent studies show that the endothelial dysfunction caused by the virus contributes to its high morbidity and mortality. A parameter that can identify patients who will develop complications early will be valuable in patient management and reducing the burden on medical resources. An emerging technology is currently being tested to predict the cardiovascular risk via non-invasively measuring the endothelial dysfunction. This paper reviews how the assessment of endothelial dysfunction using this technology can be used as a potential parameter in the prognostication and management of COVID-19 patients.

Slum Health: Arresting COVID-19 and Improving Well-Being in Urban Informal Settlements.

The informal settlements of the Global South are the least prepared for the pandemic of COVID-19 since basic needs such as water, toilets, sewers, drainage, waste collection, and secure and adequate housing are already in short supply or non-existent. Further, space constraints, violence, and overcrowding in slums make physical distancing and self-quarantine impractical, and the rapid spread of an infection highly likely. Residents of informal settlements are also economically vulnerable during any COVID-19 responses. Any responses to COVID-19 that do not recognize these realities will further jeopardize the survival of large segments of the urban population globally. Most top-down strategies to arrest an infectious disease will likely ignore the often-robust social groups and knowledge that already exist in many slums. Here, we offer a set of practice and policy suggestions that aim to (1) dampen the spread of COVID-19 based on the latest available science, (2) improve the likelihood of medical care for the urban poor whether or not they get infected, and (3) provide economic, social, and physical improvements and protections to the urban poor, including migrants, slum communities, and their residents, that can improve their long-term well-being. Immediate measures to protect residents of urban informal settlements, the homeless, those living in precarious settlements, and the entire population from COVID-19 include the following: (1) institute informal settlements/slum emergency planning committees in every urban informal settlement; (2) apply an immediate moratorium on evictions; (3) provide an immediate guarantee of payments to the poor; (4) immediately train and deploy community health workers; (5) immediately meet Sphere Humanitarian standards for water, sanitation, and hygiene; (6) provide immediate food assistance; (7) develop and implement a solid waste collection strategy; and (8) implement immediately a plan for mobility and health care. Lessons have been learned from earlier pandemics such as HIV and epidemics such as Ebola. They can be applied here. At the same time, the opportunity exists for public health, public administration, international aid, NGOs, and community groups to innovate beyond disaster response and move toward long-term plans.

Addressing the information deficit in global health: lessons from a digital acute care platform in Sri Lanka.

Lack of investment in low-income and middle-income countries (LMICs) in systems capturing continuous information regarding care of the acutely unwell patient is hindering global efforts to address inequalities, both at facility and national level. Furthermore, this of lack of data is disempowering frontline staff and those seeking to support them, from progressing setting-relevant research and quality improvement. In contrast to high-income country (HIC) settings, where electronic surveillance has boosted the capability of governments, clinicians and researchers to engage in service-wide healthcare evaluation, healthcare information in resource-limited settings remains almost exclusively paper based. In this practice paper, we describe the efforts of a collaboration of clinicians, administrators, researchers and healthcare informaticians working in South Asia, in addressing the inequality in access to patient information in acute care. Harnessing a clinician-led collaborative approach to design and evaluation, we have implemented a national acute care information platform in Sri Lanka that is tailored to priorities of frontline staff. Iterative adaptation has ensured the platform has the flexibility to integrate with legacy paper systems, support junior team members in advocating for acutely unwell patients and has made information captured accessible to diverse stakeholders to improve service delivery. The same platform is now empowering clinicians to participate in international research and drive forwards improvements in care. During this journey, we have also gained insights on how to overcome well-described barriers to implementation of digital information tools in LMIC. We anticipate that this north-south collaborative approach to addressing the challenges of health system implementation in acute care may provide learning and inspiration to other partnerships seeking to engage in similar work.

Health in rural Sri Lanka: A cross-sectional survey of three rural districts

Introduction: Sri Lanka has a predominantly rural population. However, there is a dearth of research on health and socioeconomic issues in this group. Objective: To describe basic socioeconomic characteristics and health profile in a rural population. Methods: A descriptive cross-sectional household survey was conducted in 1950 households in three rural districts, selected by a three-stage stratified cluster sampling method. Results: The population pyramid showed an ageing population (dependency ratio of 50%). Only 39% had completed GCE (ordinary level). Unemployment rates were high (25% males, 76% females). Agriculture and related work were main occupations. Most lacked amenities (e.g. 61% households lacked a refrigerator) and practiced inappropriate methods of waste disposal (e.g. open burning by 72%). Household illnesses were frequent: episodes of acute illness within two weeks, injuries within past year and chronic illness were reported from 35.9%, 14.9% and 48.3% households. The prevalence of chronic diseases in adults >20 years were high: diabetes 13.5%, hypertension 16.7% and overweight/obesity 28.2%. Of the males, 22.1% smoked and 12.3% took alcohol. Almost 25% adults chewed betel. Reports of snake bite, dog bites and suicide/attempted suicide were seen in 15.5%, 9.7% and 3.0% households respectively. Conclusions: This study shows a unique clustering of health-related problems in rural Sri Lanka. This was characterized by demographic transition, burden from snake bites, chronic diseases and acute illnesses. There were resource limitations and low levels of education. Cohort studies and comparisons with urban areas will enable further elucidation of determinants of health and other issues in rural Sri Lanka.

Inequalities in the prevalence of diabetes mellitus and its risk factors in Sri Lanka: a lower middle income country.

BACKGROUND: Explorations into quantifying the inequalities for diabetes mellitus (DM) and its risk factors are scarce in low and lower middle income countries (LICs/LMICs). The aims of this study were to assess the inequalities of DM and its risk factors in a suburban district of Sri Lanka. METHODS: A sample of 1300 participants, (aged 35-64 years) randomly selected using a stratified multi-stage cluster sampling method, were studied employing a cross sectional descriptive design. The socioeconomic indicators (SEIs) of the individual were education level and occupational category, and at the household level, the household income, social status level and area deprivation level. DM was diagnosed if the fasting plasma glucose was ≥126 and a body mass index (BMI) of > 27.5 kg/m2 was considered high. Asian cut-off values were used for high waist circumference (WC). Validated tools were used to assess the diet and level of physical activity. The slope index of inequality (SII), relative index of inequality (RII) and concentration index (CI) were used to assess inequalities. RESULTS: The prevalence of DM and its risk factors (at individual or household level) showed no consistent relationship with the three measures of inequality (SII, RII and CI) of the different indices of socio economic status (education, occupation, household income, social status index or area unsatisfactory basic needs index). The prevalence of diabetes showed a more consistent pro-rich distribution in females compared to males. Of the risk factors in males and females, the most consistent and significant pro-rich relationship was for high BMI and WC. In males, the significant positive relationship with high BMI for SII ranged from 0.18 to 0.35, and RII from 1.56 to 2.25. For high WC, the values were: SII from 0.13 to 0.27 and RII from 1.9 to 3.97. In females the significant positive relationship with high BMI in SII ranged from 0.13 to 0.29, and RII from 2.3 to 4.98. For high WC the values were: SII from 028 to 0.4 and RII 1.99 to 2.39. Of the other risk factors, inadequate fruit intake showed a consistent significant pro-poor distribution only in males using SII (- 0.25 to - 0.36) and in both sexes using CI. Smoking also showed a pro-poor distribution in males especially using individual measures of socio-economic status (i.e. education and occupation). CONCLUSIONS: The results show a variable relationship between socioeconomic status and prevalence of diabetes and its risk factors. The inequalities in the prevalence of diabetes and risk factors vary depending on gender and the measures used. The study suggests that measures to prevent diabetes should focus on targeting specific factors based on sex and socioeconomic status. The priority target areas for interventions should include prevention of obesity (BMI and central obesity) specifically in more affluent females. Males who have a low level of education and in non-skilled occupations should be especially targeted to reduce smoking and increase fruit intake.

Social determinants of health inequalities: towards a theoretical perspective using systems science.

A systems approach offers a novel conceptualization to natural and social systems. In recent years, this has led to perceiving population health outcomes as an emergent property of a dynamic and open, complex adaptive system. The current paper explores these themes further and applies the principles of systems approach and complexity science (i.e. systems science) to conceptualize social determinants of health inequalities. The conceptualization can be done in two steps: viewing health inequalities from a systems approach and extending it to include complexity science. Systems approach views health inequalities as patterns within the larger rubric of other facets of the human condition, such as educational outcomes and economic development. This anlysis requires more sophisticated models such as systems dynamic models. An extension of the approach is to view systems as complex adaptive systems, i.e. systems that are 'open' and adapt to the environment. They consist of dynamic adapting subsystems that exhibit non-linear interactions, while being 'open' to a similarly dynamic environment of interconnected systems. They exhibit emergent properties that cannot be estimated with precision by using the known interactions among its components (such as economic development, political freedom, health system, culture etc.). Different combinations of the same bundle of factors or determinants give rise to similar patterns or outcomes (i.e. property of convergence), and minor variations in the initial condition could give rise to widely divergent outcomes. Novel approaches using computer simulation models (e.g. agent-based models) would shed light on possible mechanisms as to how factors or determinants interact and lead to emergent patterns of health inequalities of populations.

Policy approaches to address the social and environmental determinants of health inequity in Asia-pacific.

Asia Pacific is home to over 60% of the world's population and the fastest growing economies. Many of the leadership in the Asia Pacific region is becoming increasingly aware that improving the conditions for health would go a long way to sustaining economic prosperity in the region, as well as improving global and local health equity. There is no biological reason why males born in Cambodia can expect to live 23 years less than males born in Japan, or why females born in Tuvalu live 23 years shorter than females in New Zealand or why non-Indigenous Australian males live 12 years longer than Indigenous men. The nature and drivers of health inequities vary greatly among different social, cultural and geo-political contexts and effective solutions must take this into account. This paper utilizes the CSDH global recommendations as a basis for looking at the actions that are taking place to address the structural drivers and conditions of daily living that affect health inequities in the Asia Pacific context. While there are signs of action and hope, substantial challenges remain for health equity in Asia Pacific. The gains that have been made to date are not equally distributed and may be unsustainable as the world encounters new economic, social and environmental challenges. Tackling health inequities is a political imperative that requires leadership, political courage, social action, a sound evidence base and progressive public policy.

Medium of language in discharge summaries: would the use of native language improve patients' knowledge of their illness and medications?

Sri Lankan inpatients receive a discharge summary in English known as a diagnosis card. The authors investigated whether supplementing the diagnosis summary with native language improved patients' knowledge of illness and medication. Participants were 130 newly diagnosed patients with noncommunicable chronic diseases (92 men, 70.8%; 38 women, 29.2%; M age = 55.4 years, SD age = 12.8 years) who were randomized to a control group receiving an English discharge summary and intervention group receiving a supplementary native language discharge summary. A questionnaire assessed knowledge of illness and prescribed medications at discharge and at 2 weeks. The groups were comparable for knowledge of diagnosis and prescribed medications at discharge. At 2 weeks, the intervention group had significantly higher scores than did the control group for knowledge on diagnosis, M = 81.41, SD = 34.63, versus M = 27.95, SD = 41.26, respectively, p < .001; and on medications, M = 54.48, SD = 33.91, versus M = 12.55, SD = 20.44, respectively, p < .001. The increase in scores was explained by the dichotomous variable, whether supplementary discharge summary was given or not (p < .001). A higher proportion in the intervention group read the discharge summary to gain knowledge of diagnosis (81.5%) and medication (80%) than in the control group (4.6% and 6.2%, respectively; p < .001). A total of 121 participants (92.1%) preferred a discharge summary in native language. This simple model may be useful to improve patient knowledge relating to illness in countries that predominantly use another language for medical communications, rather than a native language.

Review article: freedom to lead a life we have reason to value? A spotlight on health inequity in the Asia Pacific region.

The Asia Pacific region is home to more than 60% of the world's population. Life expectancy at birth differs between countries by as much as 27 years. This article suggests that asymmetric economic growth, unplanned urbanization, marked environmental change, unequal improvements in daily living conditions, and the unequal distribution and access to quality health care have contributed to health inequities in the Asia Pacific region. Contextually specific evidence and action are needed. This requires ongoing monitoring of health inequities and systematic evaluation of societal changes and their impact on health inequities. It requires better understanding of how to translate theoretical and empirical demonstrations of the social and environmental impact on health inequities into evidence-informed policies and programs, in diverse geopolitical, socioeconomic, and sociocultural contexts across the Asia Pacific region and the range of associated complex policy processes. A spotlight is needed on health inequities and their causes else the status quo will persist.

The social determinants of childhood mortality in Sri Lanka: timetrends & comparisons across South Asia.

BACKGROUND & OBJECTIVE: Sri Lanka has been able to achieve low childhood mortality levels at low cost. However, this achievement may have been at the expense of increasing mortality inequalities between socio-economic groups. This study addresses the question whether socio-economic mortality inequalities rise as overall mortality falls by describing socio-economic inequalities in under 5 mortality in Sri Lanka and comparing the magnitude of these inequalities over time and with other South Asian countries. Further, the role of female autonomy, fertility, malnutrition, and health care use in explaining the observed patterns in mortality inequality were also examined. METHODS: Time-trends in inequality in under 5 mortality by maternal education were described using data from the 1987, 1993 and 2000 Sri Lanka Demographic and Health Surveys (DHS). Using DHS data, the magnitude of these inequalities was compared across 50 low and middle income countries, and with three South Asian countries in particular. Socio-economic inequalities in determinants of under 5 mortality were estimated for Sri Lanka over time, and compared with such inequalities in the other South Asian countries. RESULTS: Absolute inequalities in under 5 mortality in Sri Lanka were very low internationally, while relative mortality inequalities were high. The decline in under 5 mortality between the 1987 and 2000 survey in Sri Lanka had been accompanied by rising relative mortality inequalities across educational groups. High and improving levels of health care use and declining levels of malnutrition in Sri Lanka ran parallel with high and increasing relative inequalities in undercoverage of health care and malnutrition. INTERPRETATION & CONCLUSION: Despite the low overall under 5 mortality levels and absolute mortality inequalities, Sri Lanka exhibited a clear mortality gradient across educational groups. Further, the high and rising relative inequalities in under 5 mortality in Sri Lanka showed that the achievement of low mortality might be at the expense of increasing relative mortality inequalities between socioeconomic groups. Increasing inequalities in malnutrition and undercoverage of health care, perhaps related to a strong gradient in female autonomy across educational groups, may have contributed to the rising relative under 5 mortality inequalities in this country.

Faith-based NGOs and healthcare in poor countries: a preliminary exploration of ethical issues.

An increasing number of non-governmental organisations (NGOs) provide humanitarian assistance, including healthcare. Some faith-based NGOs combine proselytising work with humanitarian aid. This can result in ethical dilemmas that are rarely discussed in the literature. The article explores several ethical issues, using four generic activities of faith-based NGOs: (1) It is discriminatory to deny aid to a needy community because it provides less opportunity for proselytising work. Allocating aid to a community with fewer health needs but potential for proselytising work is unjust, since it neither maximises welfare (utilitarianism) nor assists the most needy (egalitarianism). (2) Faith-based-NGOs may state that proselytising work combined with humanitarian assistance improves spiritual wellbeing and overall benefit. However, proselytising work creates religious doubts, which could transiently decrease wellbeing. (3) Proselytising work is unlikely to be a perceived need of the population and, if carried out without consent, breaches the principle of autonomy. Such work also exploits the vulnerability of disaster victims. (4) Governments that decline the assistance of a faith-based NGO involved in proselytising work may deprive the needy of aid. Three strategies are proposed: (a) Increase knowledge to empower communities, individuals and governments; information on NGOs could be provided through an accessible register that discloses objectives, funding sources and intended spiritual activities. (b) Clearly demarcate between humanitarian aid from proselytising work, by setting explicit guidelines for humanitarian assistance. (c) Strengthen self-regulation by modifying the Code of Conduct of the Red Cross to state criteria for selecting communities for assistance and procedures for proselytising work.