Medicine
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This repository contains the published and unpublished research of the Faculty of Medicine by the staff members of the faculty
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Item Duplication errors due to brand name confusion; It is not always the name-Short case series(John Wiley & Sons, 2023) Mamunuwa, N.; Jayamanne, S.; Wijekoon, N.; Coombes, J.; Perera, D.; Shanika, T.; Mohamed, F.; Lynch, C.; de Silva, A.; Dawson, A.Confusion of drug names has been identified as a leading cause of medication errors and potential iatrogenic harm. Most of these errors occur because of look-alike or sound-alike drugs. This case series gives examples of duplication errors due to brand confusion, where there are no similarities in the names.Item Risk factors for deliberate self-harm in young people in rural Sri Lanka: a prospective cohort study of 22,000 individuals(Sri Lanka Medical Association, 2021) Fernando, K.; Jayamanna, S.; Weerasinghe, M.; Priyadarshana, C.; Ratnayake, R.; Pearson, M.; Gunnell, D.; Dawson, A.; Hawton, K.; Konradsen, F.; Eddleston, M.; Metcalfe, C.; Knipe, D.Background: Over 90% of youth suicide deaths occur in low- and middle-income countries. Despite this relatively little is known about risk factors in this context. Aims: Investigate risk factors for deliberate self-harm (non-fatal) in young people in rural Sri Lanka. Methods: A prospective cohort study of 22,401 individuals aged 12-18 years with complete data on sex, student status, household asset score, household access to pesticides and household problematic alcohol use. Deliberate self-harm was measured prospectively by reviewing hospital records. Poisson regression estimated incidence rate ratios (IRRs) for the association of risk factors with deliberate self-harm. Results: Females were at higher risk of deliberate self-harm compared to males (IRR 2.05; 95%CI 1.75 – 2.40). Lower asset scores (low compared to high: IRR 1.46, 95%CI 1.12 - 2.00) and having left education (IRR 1.61 95%CI 1.31 – 1.98) were associated with higher risks of deliberate self-harm, with evidence that the effect of not being in school was more pronounced in males (IRR 1.94; 95%CI 1.40 – 2.70) than females. There was no evidence of an association between household pesticide access and deliberate self-harm risk, but problematic household alcohol use was associated with increased risk (IRR 1.23; 95%CI 1.04 – 1.45), with evidence that this was more pronounced in females than males (IRR for females 1.42; 95%CI 1.17 – 1.72). There was no evidence of deliberate self-harm risk being higher at times of school exam stress. Conclusion: Indicators of lower socioeconomic status, not being in school, and problematic alcohol use in households, were associated with increased deliberate self-harm risk in young people.Item Evaluating spatiotemporal dynamics of snakebite in Sri Lanka: Monthly incidence mapping from a national representative survey sample(Public Library of Science, 2021) Ediriweera, D.S.; Kasturiratne, A.; Pathmeswaran, A.; Gunawardena, N.K.; Jayamanne, S.F.; Murray, K.; Iwamura, T.; Isbister, G.; Dawson, A.; Lalloo, D.G.; de Silva, H.J.; Diggle, P.J.BACKGROUND: Snakebite incidence shows both spatial and temporal variation. However, no study has evaluated spatiotemporal patterns of snakebites across a country or region in detail. We used a nationally representative population sample to evaluate spatiotemporal patterns of snakebite in Sri Lanka. METHODOLOGY: We conducted a community-based cross-sectional survey representing all nine provinces of Sri Lanka. We interviewed 165 665 people (0.8% of the national population), and snakebite events reported by the respondents were recorded. Sri Lanka is an agricultural country; its central, southern and western parts receive rain mainly from Southwest monsoon (May to September) and northern and eastern parts receive rain mainly from Northeast monsoon (November to February). We developed spatiotemporal models using multivariate Poisson process modelling to explain monthly snakebite and envenoming incidences in the country. These models were developed at the provincial level to explain local spatiotemporal patterns. PRINCIPAL FINDINGS: Snakebites and envenomings showed clear spatiotemporal patterns. Snakebite hotspots were found in North-Central, North-West, South-West and Eastern Sri Lanka. They exhibited biannual seasonal patterns except in South-Western inlands, which showed triannual seasonality. Envenoming hotspots were confined to North-Central, East and South-West parts of the country. Hotspots in North-Central regions showed triannual seasonal patterns and South-West regions had annual patterns. Hotspots remained persistent throughout the year in Eastern regions. The overall monthly snakebite and envenoming incidences in Sri Lanka were 39 (95%CI: 38-40) and 19 (95%CI: 13-30) per 100 000, respectively, translating into 110 000 (95%CI: 107 500-112 500) snakebites and 45 000 (95%CI: 32 000-73 000) envenomings in a calendar year. CONCLUSIONS/SIGNIFICANCE: This study provides information on community-based monthly incidence of snakebites and envenomings over the whole country. Thus, it provides useful insights into healthcare decision-making, such as, prioritizing locations to establish specialized centres for snakebite management and allocating resources based on risk assessments which take into account both location and season.Item Adverse drug reactions in a cohort of Sri Lankan patients with non-communicable chronic diseases(Elsevier, 2017) Wijekoon, C.N.; Shanika, L.G.T.; Jayamanne, S.; Coombes, J.; Dawson, A.BACKGROUND: Adverse drug reactions (ADRs) pose a major problem in medication use. This study was done to describe incidence, nature and associated factors of ADRs in a cohort of Sri Lankan patients with non-communicable chronic diseases (NCCDs). METHODS: The prospective observational data presented here are obtained as a part of a large study conducted in a tertiary-care hospital in Sri Lanka. In-ward patients with NCCDs were recruited systematically using the admission register in the ward as the sampling frame. All ADRs occurred during the index hospital admission and 6-month post-discharge period were detected by active surveillance. RESULTS: 715 patients were studied (females – 50.3%; mean age – 58.3±15.4years). 35.4% were aged ≥65years. Mean number of drugs prescribed per patient was 6.11±2.97. Most prevalent NCCDs were hypertension (48.4%), diabetes (45.3%) and ischemic heart disease (29.4%). 154 ADRs [33 (21.4%) during index hospital admission; 121 (78.6%) during 6-month post-discharge period) were detected involving 112 (15.7%) patients. 51.9%(80/154) of them were potentially avoidable. 47% (73/154) of ADRs were serious adverse events (SAEs); 13 were life threatening, 46 caused hospitalization and 14 caused disability. The most common causes for re-hospitalization due to ADRs were hypoglycemia due to anti-diabetic drugs (17/46), bleeding due to warfarin (6/46) and hypotension due to anti-hypertensives (6/46). ADRs were more common in elderly (34% vs 14.7%, p<0.001), in those who were on ≥5 drugs (25.9% vs 12.7%, p<0.001) and among those with diabetes (28.5% vs 15.6%, p<0.001). CONCLUSIONS : Incidence of ADRs was high in the study population. A large proportion of them were SAEs. The majority of ADRs that required re-hospitalization were caused by widely used drugs and were potentially avoidable. Factors associated with a higher incidence of ADRs were age ≥65years, ≥5drugs in the prescription and presence of diabetes. The healthcare system in the study setting needs improvement in order to minimize ADRs.Item Opportunities for pharmacists to optimise quality use of medicines in a Sri Lankan hospital: An observational, prospective, cohort study(Wiley-Blackwell, 2017) Perera, D.M.P.; Coombes, J.A.; Shanika, L.G.T.; Dawson, A.; Lynch, C.; Mohamed, F.; Kalupahana, N.; de Silva, H.A.; Jayamanne, S.F.; Peters, N.B.; Myers, B.; Coombes, I.D.BACKGROUND: Quality use of medicines (QUM) has been identified as a priority in Sri Lanka. Aim: To identify opportunities to optimise QUM, and evaluate medication appropriateness and medication information exchanged with patients and carers on discharge in a Sri Lankan tertiary care hospital. METHODS: An observational, prospective, cohort study of patients systematically sampled from two medical wards. A research pharmacist determined their pre-admission medication regimen via interview at time of discharge. Issues of poor adherence and discrepancies between the pre- and post-admission medication regimens were recorded. Drug-related problems were categorised into opportunities to optimise drug therapy. The appropriateness of discharge medications was evaluated using a validated tool. The patient or carer was interviewed after discharge regarding the quality of medicine information exchanged in hospital. RESULTS: The 578 recruited patients were taking 1756 medications prior to admission, and 657 (37.4%) of these medications were not continued during admission. Opportunities to optimise drug therapy were identified on 1496 occasions during admission (median, 2.0 opportunities/patient), 215 opportunities, (14.4%) were resolved spontaneously by the medical team prior to discharge. The median score for appropriateness of medications on discharge was 1.5 per patient (interquartile range, 0.0–3.5). Of 427 patients surveyed after discharge, 52% recalled being asked about their medications on admission to hospital, 75% about previous adverse medication reactions and 39% recalled being informed about changes to their medications on discharge. CONCLUSION: Significant opportunities exist for pharmacists to enhance quality use of medicines for patients in the current hospitalbased healthcare system in Sri Lanka. © 2017 The Society of Hospital Pharmacists of Australia.Item Risk of suicide and repeat self-harm after hospital attendance for non-fatal self-harm in Sri Lanka: a cohort study.(Elsevier,, 2019) Knipe, D.; Metcalfe, C.; Hawton, K.; Pearson, M.; Dawson, A.; Jayamanne, S.; Konradsen, F.; Eddleston, M.; Gunnell, D.BACKGROUND: Evidence from high income countries (HICs) suggests that individuals who present to hospital after self-harm are an important target for suicide prevention, but evidence from low and middle-income countries (LMICs) is lacking. We aimed to investigate the risk of repeat self-harm and suicide, and factors associated with these outcomes, in a large cohort of patients presenting to hospital with self-harm in rural Sri Lanka. METHODS: In this cohort study, hospital presentations for self-harm at 13 hospitals in a rural area of North Central Province (population 224 000), Sri Lanka, were followed up with a self-harm surveillance system, established as part of a community randomised trial, and based on data from all hospitals, coroners, and police stations in the study area. We estimated the risk of repeat non-fatal and fatal self-harm and risk factors for repetition with Kaplan-Meier methods and Cox proportional hazard models. Sociodemographic (age, sex, and socioeconomic position) and clinical (past self-harm and method of self-harm) characteristics investigated were drawn from a household survey in the study area and data recorded at the time of index hospital presentation. We included all individuals who had complete data for all variables in the study in our primary analysis. OUTCOMES: Between July 29, 2011, and May 12, 2016, we detected 3073 episodes of self-harm (fatal and non-fatal) in our surveillance system, of which 2532 (82·3%) were linked back to an individual in the baseline survey. After exclusion of 145 ineligible episodes, we analysed 2259 index episodes of self-harm. By use of survival models, the estimated risk of repeat self-harm (12 months: 3· 1%, 95% CI 2·4-3·9; 24 months: 5·2%, 4·3-6·4) and suicide (12 months: 0·6%, 0·4-1·1; 24 months: 0·8%, 0·5-1·3) in our study was considerably lower than that in HICs. A higher risk of repeat self-harm was observed in men than in women (fatal and non-fatal; hazard ratio 2·0, 95% CI 1·3-3·2; p=0·0021), in individuals aged 56 years and older compared with those aged 10-25 years (fatal; 16·1, 4·3-59·9; p=0·0027), and those who used methods other than poisoning in their index presentation (fatal and non-fatal; 3·9, 2·0-7·6; p=0·00027). We found no evidence of increased risk of repeat self-harm or suicide in those with a history of self-harm before the index episode. INTERPRETATION: Although people who self-harm are an important high-risk group, focusing suicide prevention efforts on those who self-harm might be somewhat less important in LMICs compared with HICs given the low risk of repeat self-harm and subsequent suicide death. Strategies that focus on other risk factors for suicide might be more effective in reducing suicide deaths in LMICs in south Asia. A better understanding of the low incidence of repeat self-harm is also needed, as this could contribute to prevention strategies in nations with a higher incidence of repetition and subsequent suicide death.Item Evaluating temporal patterns of snakebite in Sri Lanka: The potential for higher snakebite burdens with climate change(Sri Lanka Medical Association, 2018) Ediriweera, D.S.; Diggle, P.J.; Kasturiratne, A.; Pathmeswaran, A.; Gunawardena, N.K.; Jayamanne, S.F.; Isbister, J.K.; Dawson, A.; Lalloo, D.G.; de Silva, H.J.INTRODUCTION AND OBJECTIVES: Snakebite is a neglected tropical disease that has been overlooked by healthcare decision makers in many countries. Previous studies have reported seasonal variation in hospital admission rates due to snakebites in endemic countries including Sri Lanka, but seasonal patterns have not been investigated in detail. METHODS: A national community-based survey was conducted during the period of August 2012 to June 2013. The survey used a multistage cluster design, sampled 165,665 individuals living in 44,136 households and recorded all recalled snakebite events that had occurred during the preceding year Log-linear models were fitted to describe the expected number of snakebites occurring in each month taking into account seasonal trends and weather conditions, and addressing the effects of variation in survey effort during the study and due to recall bias amongst survey respondents RESULTS: Snakebite events showed a clear seasonal variation. Typically, snakebite incidence was highest during November to December followed by March to May and August, but this varied between years due to variations in relative humidity, which is also a risk-factor. Low relative humidity levels was associated with high snakebite incidence. If current climate change projections are correct, this could lead to an increase in the annual snakebite of burden of 35,086 (95% CI: 4 202 a€" 69,232) during the next 25 to 50 years. CONCLUSION: Snakebite in Sri Lanka shows seasonal variation Additionally, more snakebites can be expected during periods of lower than expected humidity. Global climate change is likely to increase the incidence of snakebite in Sri Lanka.Item Evaluating temporal patterns of snakebite in Sri Lanka: the potential for higher snakebite burdens with climate change(Oxford University Press, 2018) Ediriweera, D.S.; Diggle, P.J.; Kasturiratne, A.; Pathmeswaran, A.; Gunawardena, N.K.; Jayamanne, S.K.; Isbister, G.K.; Dawson, A.; Lalloo, D.G.; de Silva, H.J.BACKGROUND: Snakebite is a neglected tropical disease that has been overlooked by healthcare decision makers in many countries. Previous studies have reported seasonal variation in hospital admission rates due to snakebites in endemic countries including Sri Lanka, but seasonal patterns have not been investigated in detail. METHODS: A national community-based survey was conducted during the period of August 2012 to June 2013. The survey used a multistage cluster design, sampled 165 665 individuals living in 44 136 households and recorded all recalled snakebite events that had occurred during the preceding year. Log-linear models were fitted to describe the expected number of snakebites occurring in each month, taking into account seasonal trends and weather conditions, and addressing the effects of variation in survey effort during the study and of recall bias amongst survey respondents. ResulTS: Snakebite events showed a clear seasonal variation. Typically, snakebite incidence is highest during November–December followed by March–May and August, but this can vary between years due to variations in relative humidity, which is also a risk factor. Low relative-humidity levels are associated with high snakebite incidence. If current climate-change projections are correct, this could lead to an increase in the annual snakebite burden of 31.3% (95% confidence interval: 10.7–55.7) during the next 25–50 years. CONCLUSIONS: Snakebite in Sri Lanka shows seasonal variation. Additionally, more snakebites can be expected during periods of lower-than-expected humidity. Global climate change is likely to increase the incidence of snakebite in Sri Lanka.Item Adverse drug reactions in a cohort of Sri Lankan patients with non-communicable chronic diseases(Sri Lanka Medical Association, 2016) Shanika, L.G.T.; Wijekoon, C.N.; Jayamanne, S.; Coombes, J.; de Silva, H.A.; Dawson, A.INTRODUCTION AND OBJECTIVES: Adverse drug reactions (ADRs) are a major problem in drug utilization. The study aimed to describe the incidence and nature of ADRs in a cohort of Sri Lankan patients with non-communicable chronic diseases (NCCDs). METHOD: This prospective observational study conducted in a tertiary-care hospital recruited in-ward patients with NCCDs. All ADRs that occurred during the index hospital admission and in the 6-month period following discharge were detected by active surveillance. Details were recorded using the ADR reporting form, developed based on the publication of the Clinical Center, Pharmacy Department, National Institutes of Health. RESULTS: 715 patients were studied (females-50.3%, mean age–57.6 years). The mean number of medicines given per patient was 6.11±2.97. The most prevalent NCCDs were hypertension (48.4%; 346/715), diabetes (45.3%; 324/715) and ischemic heart disease (29.4%; 210/715). 112 patients (15.7%) experienced at least one ADR. In the 112 patients, 154 ADRs (33 during index hospital admission; 121 during 6-month period following discharge) were detected. 51.9% (80/154) of them were potentially avoidable. 47% (73/154) of ADR swere Serious Adverse Events (SAEs); 13 were life threatening, 46 caused hospitalization and 14 caused disability. The most common causes for re-hospitalization due to ADRs were hypoglycemia due to anti-diabetic drugs (17/46), bleeding due to warfarin (14/46) and hypotension due to anti-hypertensives (6/46). CONCLUSIONS: Incidence of ADRs was high in the study population. A large proportion of them were SAEs. The majority of ADRs that required re-hospitalization were caused by widely used medicines and were potentially avoidable.Item Development of a Snakebite risk map for Sri Lanka(Sri Lanka Medical Association, 2016) Ediriweera, D.S.; Kasturiratne, A.; Pathmeswaran, A.; Gunawardena, N.K.; Wijayawickrama, B.A.; Jayamanne, S.F.; Isbister, G.K.; Dawson, A.; Giorgi, E.; Diggle, P.J.; Lalloo, D.G.; de Silva, H.J.INTRODUCTION: Snakebite is a public health problem in Sri Lanka and about 37,000 patients are treated in government hospitals annually. At present, health care resources which are required to manage snakebite are distributed based on the administrative boundaries, rather than based on scientific risk assessment. OBJECTIVES: The aim of the study is to develop a snakebite risk map for Sri Lanka. METHOD: Epidemiological data was obtained from a community-based island-wide survey. The sample was distributed equally among the nine provinces. 165,665 participants (0.8%of the country’s population) living in 1118 Grama Niladhari divisions were surveyed. Generalized linear and generalized additive models were used for exploratory data analysis. Model-based geostatistics was used to determine the geographical distribution of snakebites. Monte Carlo maximum likelihood method was used to obtain parameter estimates and plug-in spatial predictions were obtained. Probability contour maps (PCM) were developed to demonstrate the spatial variation in the probability that local incidence does or does not exceed national snakebite incidence. RESULTS: Individual point estimate snakebite incidence map and PCM were developed to demonstrate the national incidence of snakebite in Sri Lanka. Snakebite hotspots and cold spots were identified in relation to the national snakebite incidence rate. Risk maps showed a within-country spatial variation in snakebites. CONCLUSIONS: The developed risk maps provide useful information for healthcare decision makers to allocate resources to manage snakebite in Sri Lanka.
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