Hirudin versus citrate as an anticoagulant for ROTEM platelet whole blood impedance aggregometry in thrombocytopenic patients.

Citrate is widely used as an anticoagulant for platelet function tests (PFTs). Due to an intrinsic inhibitory effect of citrate on platelet function, hirudin is used as an alternative. However, studies comparing the effect of these anticoagulants on rotational thromboelastometry (ROTEM) platelet whole blood impedance aggregometry in thrombocytopenic patients are scant. Cross-sectional study was done in 105 patients who entered the critical phase of Dengue hemorrhagic fever with plasma leakage and severe thrombocytopenia (<100 × 109/L). Samples were collected on two consecutive days and considered as a combined data set for analysis, out of which 200 have been included in the data analysis. Platelet count was used from routine full blood count. ROTEM platelet used TRAPTEM assay, which was performed with 3.2% sodium citrate and 525 ATU/ml hirudin anticoagulated blood. Means of all the TRAPTEM parameters were significantly higher in hirudin, compared to citrate samples (p < .05). Significantly higher overall platelet aggregation was observed in hirudinized samples with a significant mean difference (p < .05) compared to citrate in each quartile of platelet count. Higher platelet aggregation was observed with hirudin compared to citrate in ROTEM platelet whole blood impedance aggregometry in thrombocytopenic patients elaborating the importance of using hirudin anticoagulation in PFTs, particularly in patients with severe thrombocytopenia.

Citrate is the most commonly used anticoagulant for coagulation studies including rotational thromboelastometry (ROTEM).Hirudin is an alternative option to be used as an anticoagulant for PFTs because of the inhibitory effect of citrate on platelet function.One study (Nissen et al. (2020)) reported higher precision and platelet aggregation with hirudinized blood of healthy individuals, over citrate using ROTEM platelet.However, none of the studies were performed in patients in actual clinical context.We evaluated the potential benefit of using hirudin anticoagulated blood over citrate in thrombocytopenic patients due to Dengue hemorrhagic fever using ROTEM platelet.We observed higher platelet aggregation with hirudin compared to citrate suggesting the importance of using hirudin anticoagulation in PFTs, particularly in patients with severe thrombocytopenia.

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.

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.

Pharmaceutical industry sponsorship of academic conferences: ethics of conflict of interest.

Sponsorship of medical conferences by the pharmaceutical industry has led to many ethical issues, especially in resource-poor developing countries. The core issue in these instances is to reduce or avoid conflicts of interests (COIs). COI is a set of circumstances that creates a risk that professional judgment or actions regarding a primary interest will be unduly influenced by secondary interests. Disruption of social trust should also be considered. This deontological approach should be complemented by a consequentialist approach. Towards this, the concept of distal interests (DI) is introduced. DI lies beyond the immediately visible COIs and the consequences of immediate decisions. They are 'distal' in time or place: 'DI in time' means consequence of the decision in future scenarios, while 'DI in space' means those that impinge on other institutions or bodies. In judging the consequences, it is also necessary to consider the reality of the existing relationship between the pharmaceutical industry and organisers of conferences. In more developed countries, these relationships are governed by stricter regulations, adherence to codes of conduct by both parties and stronger institutional oversights. In contrast, developing countries such as Sri Lanka the regulatory environment is lax and the demarcation of interests between the pharmaceutical industry and the medical profession is considerably blurred. Therefore, establishing clear rules of engagement between the stakeholders should be considered as an attempt to clear the muddy waters. The paper proposes a set of guidelines to capture these approaches.

Features of Covid-19 patients detected during community screening: A study from a rural hospital in Sri Lanka.

ABSTRACT: We studied the clinical course and virus shedding of all patients referred to Welikanda Hospital, in one month. There were 53 positives for Covid-19 by PCR. 24 (45%) were male, with an age range of 11-94 years. Of these, 41 (77%) were asymptomatic, 9 had cough, 4 had sore throat and six had fever. Pulse, blood pressure, respiratory rate and capillary oxygen were normal in all. A proportion of them had poor prognostic factors: asthma (n=4), hypertension (n=11), age above 60 years (n=9), and diabetes (n=11). Lymphopenia was seen in 20 and elevated CRP in 14. Viral shedding continued beyond 14 days in several persons and continued in symptomatic patients for a significantly longer time than asymptomatic patients. Covid-19 was an asymptomatic or mild illness in this group of people. Several of them continued to be RT-PCR positive even after 14 days. Such cases are an important source of community spread.

Risk prediction for severe disease and better diagnostic accuracy in early dengue infection; the Colombo dengue study.

BACKGROUND: A major challenge in dengue management in resource limited settings is the confirmation of diagnosis. Clinical features of dengue often overlap with other infections and molecular diagnostic tools are not readily accessible to clinicians at hospitals. In addition, the prediction of plasma leakage in dengue is also difficult. Hematocrit level and ultrasound scans (combined with clinical parameters) are helpful to detect plasma leakage once it has happened, not before. METHODS: Colombo Dengue Study (CDS) is a prospective cohort study of clinically suspected adult dengue patients recruited from the National hospital of Sri Lanka (within the first 3 days of fever) that aimed to a) identify clinical and basic laboratory test parameters to differentiate dengue from non-dengue fever, b) evaluate the comparative efficacy of loop-mediated isothermal amplification (LAMP) for dengue diagnosis (vs. NS1 antigen test and RT-qPCR) and c) identify early associations that are predictive of plasma leakage or severe dengue. The basic laboratory tests considered here included hematological parameters, serum biochemistry and inflammatory markers. RESULTS: Only 70% of clinically suspected patients were confirmed as having dengue by either the NS1 antigen test or RT-qPCR. On a Bayesian latent class model which assumes no "gold standard", LAMP performed equally or better than RT-qPCR and NS1 antigen test respectively. When confirmed dengue patients were compared with others, the earlier group had significantly lower lymphocyte counts and higher aspartate aminotransferase levels (AST) within the first 3 days of fever. Confirmed dengue patients with plasma leakage had a lower mean age and a higher median baseline AST level compared to those without plasma leakage (p < 0.05). CONCLUSION: Clinical suspicion overestimates the true number of dengue patients. RT-LAMP is a potentially useful low-cost diagnostic tool for dengue diagnosis. Confirmed dengue patients had significantly higher AST levels and lower lymphocyte counts in early disease compared to others. In confirmed dengue patients, younger age and a higher AST level in early infection were associated with subsequent plasma leakage.

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.

Embolizing pulmonary aspergillosis, mycobacterial & aspergillous splenic abscess and cytomegalovirus co-infection following steroid induced immunosuppression: a case report.

BACKGROUND: Aspergillosis is a serious infection particularly affecting the immunodeficient host. Its co-infection with tuberculosis and cytomegalovirus has not been reported before. Embolic events are well recognized with aspergillous endocarditis and aortitis. Splenic abscess is a rare serious complication of disseminated aspergillosis and is difficult to treat. We report the first case of multiple embolic events and splenic abscess in a patient with pulmonary aspergillosis and cytomegaloviral and tuberculous co-infection, without endocarditis or aortitis. CASE PRESENTATION: Thirty-year-old male presented with fever and non-productive cough while on glucocorticoids for glomerulonephritis. He was found to have pulmonary aspergillosis and subsequently developed bilateral lower limb and cerebral fungal emboli and fungal abscess in the spleen. He had IgM and B cell deficiency and cytomegalovirus (CMV) and tuberculous co-infections. He recovered after prolonged course of antimicrobials, splenectomy and cessation of glucocorticoid therapy which also lead to the resolution of immune deficiencies. CONCLUSION: This report illustrates rare combination of B and T cell suppressive effects of glucocorticoids leading to co-infections with CMV, Mycobacterium tuberculosis and Aspergillus and systemic fungal embolization from pulmonary aspergillosis.

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.

Pre-event quality of life and its influence on the post-event quality of life among patients with ST elevation and non-ST elevation myocardial infarctions of a premier province of Sri Lanka.

BACKGROUND: Pre-event Quality of Life (QOL) reflects the true social circumstances in which people live prior to the onset of myocardial infarctions. It is believed to be a predictor of the post-event QOL. The aim of this study was to describe the pre-event QOL and its influence on the post-event Quality of Life among patients with ST elevation (STEMI) and Non-ST elevation myocardial infarctions (NSTEMI) using Short Form-36 (SF-36), a generic QOL tool with 8 domains. Documented literature is rare in this regard in Sri Lanka, which is a lower-middle-income country. METHODS: A cross-sectional study with a 28-day post-discharge follow-up was carried out in 13 hospitals. Three hundred and forty-four patients who were diagnosed with STEMI or NSTEMI were recruited during the hospital stay. The pre-event QOL was measured using an interviewer-administered questionnaire which included the SF-36 QOL tool and medical details. Follow-up QOL was gathered using a questionnaire that was filled and posted back by participants. Of the recruited sample, 235 responded for the follow-up component. Analysis was conducted for associations between pre- and post-discharge QOL. Furthermore, comparisons were made between the STEMI and NSTEMI groups. Mann Whiney U test, Wilcoxon signed rank test and chi square test were used in the analysis. RESULTS: The post-event QOL was lower in seven out of eight domains than the pre-event QOL (p < 0.05). The NSTEMI group had more risk factors and a significantly lower pre-event QOL for seven domains (p < 0.05), when compared to the STEMI group. For seven domains, the post-discharge QOL was not significantly different (p > 0.05) between the STEMI and NSTEMI groups. Post-discharge general-health QOL domain score was higher than the pre-MI score (p = 0.028) and was higher in the STEMI group compared to the NSTEMI group (p = 0.042). Regression analysis showed a significant beta coefficient between pre- and post-QOL for five domains in STEMI and for all domains in NSTEMI groups when adjusted for the disease severity. The R square values ranged from 12.3 to 62.3% for STEMI and 7.3 to 64.8% for NSTEMI. CONCLUSIONS: Pre-event QOL is lower in the NSTEMI group compared to the STEMI group. Patients do not regain the previous QOL within one month post-discharge. Post-discharge QOL can be predicted by the pre-event QOL for most domains.

Describing complex clinical scenarios at the bed-side: Is a systems science approach useful? Exploring a novel diagrammatic approach to facilitate clinical reasoning.

Clinicians often encounter patients having complex clinical scenarios (CCS) where diverse and dynamic diagnostic and therapeutic issues interact. A limited range of bedside methods are available to describe such patients and most often it is a diagnostic summary, a problem list, or a list of differential diagnoses. These methods fail to portray the interconnected nature of CCCs. They prevent visualization of a system of networks or a web of causation operative in CCSs.A more holistic conceptualization is required and the author argues for an approach based on systems science. The latter views the human body to consist of several closely linked organ systems, constantly interacting with each other and embedded in, and 'open' to the external environment. In order to capture the systems nature at bedside, a tool based on network diagrams, termed a Clinical Reasoning Map (CRM) is proposed which depicts diseases or conditions as nodes linked to each other by lines or arrows. The latter linkages follow simple rules: possible causes or associations as mere lines; probable cause using a single dotted arrow with directionality (from 'cause' to 'effect'); definite causal pathways by directional arrows; and bi-directional arrows to indicate organs-systems influencing each other.CRM's utility was investigated in several groups of undergraduate medical students. The results varied: 289, 5th year and 4th year medical students showed that 245 (85.5 %) perceived CRM improve their understanding of the case. However, there was no clear advantage in the CRM over a list of diagnoses in recall of key information. A majority (83.9 %) were keen to learn the technique of drawing a CRM. Postgraduates too found the tool to be useful to understand the interconnected nature of real-life complex case scenarios and pathogenesis of their multifaceted condition to generate differential diagnosis and to select appropriate investigations. Effectiveness of CRM is supported by adult learning theories such as meaningful learning and experiential learning.The author proposes that systems science and tools based in this approach such as CRM has utility in understanding and managing complex case scenarios. They differ significantly from other diagrammatic methods available in the medical literature.

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.

Per capita sugar consumption and prevalence of diabetes mellitus--global and regional associations.

BACKGROUND: Diabetes mellitus (DM) is a rampant epidemic worldwide. Causative factors and predisposition is postulated to be multi-factorial in origin and include changing life styles and diet. This paper examines the relationship between per capita sugar consumption and diabetes prevalence worldwide and with regard to territorial, economic and geographical regions. METHODS: Data from 165 countries were extracted for analysis. Associations between the population prevalence of diabetes mellitus and per capita sugar consumption (PCSC) were examined using Pearson's correlation coefficient (PCC) and multivariate linear regression analysis with, infant mortality rates (IMR, as an general index maternal and child care), low birth weight (LBW, as an index of biological programming) and obesity prevalence included in the model as confounders. RESULTS: Despite the estimates for PCSC being relatively crude, a strong positive correlation coefficient (0.599 with p < 0.001) was observed between prevalence of diabetes mellitus and per capita sugar consumption using data from all 165 countries. Asia had the highest correlation coefficient with a PCC of 0.660 (p < 0.001) with strongest correlation noted in Central (PCC = 0.968; p < 0.001), South (PCC = 0.684; p = 0.050) and South East Asia (PCC = 0.916; p < 0.001). Per capita sugar consumption (p < 0.001; Beta = 0.360) remained significant at the last stage as associations of DM prevalence (R2 = 0.458) in the multivariate backward linear regression model. The linear regression model was repeated with the data grouped according to the continent. Sugar was noted to be an independent association with DM only with regard to Asia (p < 0.001 Beta = 0.707) and South America (p = 0.010 Beta 0.550). When countries were categorized based on income PCS and DM demonstrated significant association only for upper middle income countries (p < 0.001 Beta 0.656). CONCLUSIONS: These results indicate independent associations between DM prevalence rates and per capita sugar consumption both worldwide and with special regard to the Asian region. Prospective cohort studies are proposed to explore these associations further.

The 12 dimensions of health impacts of war (the 12-D framework): a novel framework to conceptualise impacts of war on social and environmental determinants of health and public health.

Global rates of armed conflicts have shown an alarming increase since 2008. These conflicts have devastating and long-term cumulative impacts on health. The overriding aim in these conflicts is to achieve military or political goals by harming human life, which is the antithesis of the moral underpinnings of the health professions. However, the profession has rarely taken on a global advocacy role to prevent and eliminate conflicts and wars. To assume such a role, the health profession needs to be aware of the extensive and multiple impacts that wars have on population health. To facilitate this discourse, the author proposes a novel framework called 'The Twelve Dimensions of Health Impacts of War' (or the 12-D framework). The framework is based on the concepts of social and environmental determinants of population health. It has 12 interconnected 'dimensions' beginning with the letter D, capturing the adverse impacts on health (n=5), its social (n=4) and environmental determinants (n=3). For health, the indices are Deaths, Disabilities, Diseases, Dependency and Deformities. For social determinants of health, there are Disparities in socioeconomic status, Displacements of populations, Disruptions to the social fabric and Development reversals. For environmental determinants, there is Destruction of infrastructure, Devastation of the environment and Depletion of natural resources. A relatively simple framework could help researchers and lay public to understand the magnitude and quantify the widespread health, social and environmental impacts of war, comprehensively. Further validation and development of this framework are necessary to establish it as a universal metric for quantifying the horrific impacts of war on the planet and garner support for initiatives to promote global peace.

Repurposing Drugs to Treat Novel Infections: A Proposal for a Decision-Making Framework for Clinicians.

PURPOSE: Global fears regarding future epidemics of new and re-emerging infections will prompt clinicians to try out unconventional treatments based on limited evidence, including the repurposing of existing drugs. The dilemma involves balancing clinical intuition with the need to rely on low-quality information because of the scarcity of definitive evidence. An example was ivermectin; with its potential antiviral properties, it was promoted for its efficacy in treating coronavirus disease 2019 despite conflicting outcomes in clinical trials and varying expert opinions. This article describes the development of a decision-making framework to resolve such dilemmas. METHODS: The case study from Sri Lanka illustrates multiple challenges faced by clinicians. As the horrific details of deaths in countries such as Italy spread on social media, there was panic and an unprecedented demand for clinicians and health services to provide effective treatment. This led to the popularity of drugs such as ivermectin and several herbal cures. However, there was no consensus among experts on the efficacy of ivermectin, which eventually led to the authorities to recommend limited approval for use under physician supervision. FINDINGS: The situation lent itself to a framework with 4 elements: prerequisites, applying an appropriate decision-making tool (eg, multiple criteria decision-making methods), ethical considerations, and sensitive communication. IMPLICATIONS: We propose this framework for clinicians when they face similar situations with demands to repurpose medicines with inconclusive evidence of efficacy to combat devastating infections from new or re-emerging infections.