Population Norms and Disutility Catalog for Chronic Conditions in Sri Lanka

Objectives: This study aimed to produce Sri Lankan population norms of utility values, EuroQol visual analog scale scores, and reported problems in each domain of the EQ-5D-5L, as well as a disutility catalog, based on a representative set of Sri Lankan preferences. Methods: Data from a nationally representative sample of 6415 adults from the Sri Lanka Health and Ageing Study in 2018 to 2019 were used. Sri Lankan preferences were applied to EQ-5D-5L scores to produce utility values. Descriptive statistics were produced for responses by EQ-5D-5L dimension, mean utility values, and EuroQol visual analog scale scores, disaggregated by demographic and disease group. Multivariable logistic regression assessed associations with problems in each dimension, and demographic and chronic diseases. Robust ordinary least squares and tobit regressions were performed to estimate the marginal disutility of demographic covariates and disease conditions. Results: The mean utility value for the overall population was 0.867. Utility values decreased with age and increased with increasing education and richer socioeconomic quintiles. Males had higher utility values than females (0.89 vs 0.84; P < .001). Utility values declined by 0.007 with each year increase in age (P < .001) and statistically significant differences (P < .05) in utility were found by ethnicity, socioeconomic quintile, and disease conditions such as stroke, diabetes, cancer, depression, and musculoskeletal conditions, using a tobit regression. Conclusions: This study provides the first nationally representative set of population norms based on a local value set for key demographic groups and selected chronic disease conditions for Sri Lanka. It also provides a catalog that can be easily used to calculate quality-adjusted life-years for cost-utility analysis when modeling public health interventions

Population Norms and Disutility Catalog for Chronic Conditions in Sri Lanka

Objectives: This study aimed to produce Sri Lankan population norms of utility values, EuroQol visual analog scale scores, and reported problems in each domain of the EQ-5D-5L, as well as a disutility catalog, based on a representative set of Sri Lankan preferences. Methods: Data from a nationally representative sample of 6415 adults from the Sri Lanka Health and Ageing Study in 2018 to 2019 were used. Sri Lankan preferences were applied to EQ-5D-5L scores to produce utility values. Descriptive statistics were produced for responses by EQ-5D-5L dimension, mean utility values, and EuroQol visual analog scale scores, disaggregated by demographic and disease group. Multivariable logistic regression assessed associations with problems in each dimension, and demographic and chronic diseases. Robust ordinary least squares and tobit regressions were performed to estimate the marginal disutility of demographic covariates and disease conditions. Results: The mean utility value for the overall population was 0.867. Utility values decreased with age and increased with increasing education and richer socioeconomic quintiles. Males had higher utility values than females (0.89 vs 0.84; P < .001). Utility values declined by 0.007 with each year increase in age (P < .001) and statistically significant differences (P < .05) in utility were found by ethnicity, socioeconomic quintile, and disease conditions such as stroke, diabetes, cancer, depression, and musculoskeletal conditions, using a tobit regression. Conclusions: This study provides the first nationally representative set of population norms based on a local value set for key demographic groups and selected chronic disease conditions for Sri Lanka. It also provides a catalog that can be easily used to calculate quality-adjusted life-years for cost-utility analysis when modeling public health interventions

The Prevalence and Epidemiological Features of Ischaemic Heart Disease in Sri Lanka

Background: There is limited evidence on the prevalence of ischaemic heart disease (IHD) and its association with risk factors and socioeconomic status (SES) in low- and middle-income countries (LMICs). Given the relatively high levels of access to healthcare in Sri Lanka, the association of IHD with SES may be different from that observed in other LMICs. Objectives: To estimate the prevalence of IHD in Sri Lanka, determine its associated risk factors and its association with SES. Methods: We analysed data from 6,513 adults aged ≥18 years examined in the 2018/19 Sri Lanka Health and Ageing Study. We used the Rose angina questionnaire to classify participants as having angina (Angina+) and used self-report or medical records to identify participants with a history of IHD (History+). The association of Angina+ and History+ with age, ethnicity, sector of residence, education level, household SES wealth quintile, area SES wealth quintile, hypertension, diabetes, smoking, total cholesterol, cholesterol-to-HDL ratio, waist-to-hip ratio and body mass index were analysed in unadjusted and adjusted models. Additional analyses were performed to investigate sensitivity to correction for missing data and to benchmark estimates against evidence from other studies. Conclusions: We estimated prevalence of History+ of 3.9% (95% CI 3.3%-4.4%) and Angina+ of 3.0% (95% CI 2.4%-3.5%) in adults aged 18 years and over. The prevalence of Angina+ was higher in women than men (3.9% vs. 1.9%, p &lt; 0.001) whilst prevalence of History+ was lower (3.8% vs. 4.0%, p = 0.8), which may suggest a higher rate of undiagnosed IHD in women. A history of IHD was strongly associated with age, hypertension and diabetes status even after adjusting for sociodemographic factors. Though the prevalence of History+ was higher in the most developed area SES tertile and urban areas, History+ was also associated with less education but not household SES, consistent with patterns emerging from other LMICs.</p

Health outcomes and healthcare utilization associated with four undiagnosed chronic conditions:evidence from nationally representative survey data in Sri Lanka

BACKGROUND: Low awareness of chronic conditions raises the risk of poorer health outcomes and may result in healthcare utilization and spending in response to symptoms of undiagnosed conditions. Little evidence exists, particularly from lower-middle-income countries, on the health and healthcare use of undiagnosed people with an indication of a condition. This study aimed to compare health (physical, mental, and health-related quality of life (HRQoL)) and healthcare (inpatient and outpatient visits and out-of-pocket (OOP) medical spending) outcomes of undiagnosed Sri Lankans with an indication of coronary heart disease (CHD), hypertension, diabetes, and depression with the outcomes of their compatriots who were diagnosed or had no indication of these conditions.METHODS: This study used a nationally representative survey of Sri Lankan adults to identify people with an indication of CHD, hypertension, diabetes, or depression, and ascertain if they were diagnosed. Outcomes were self-reported measures of physical and mental functioning (12-Item Short Form Survey (SF-12)), HRQoL (EQ-5D-5L), inpatient and outpatient visits, and OOP spending. For each condition, we estimated the mean of each outcome for respondents with (a) no indication, (b) an indication without diagnosis, and (c) a diagnosis. We adjusted the group differences in these means for socio-demographic covariates using ordinary least squares (OLS) regression for physical and mental function, Tobit regression for HRQoL, and a generalized linear model (GLM) for healthcare visits and OOP spending.RESULTS: An indication of each of CHD and depression, which are typically symptomatic, was associated with a lower adjusted mean of physical (CHD -2.65, 95% CI -3.66, -1.63; depression -5.78, 95% CI -6.91, -4.64) and mental functioning (CHD -2.25, 95% CI -3.38, -1.12; depression -6.70, 95% CI -7.97, -5.43) and, for CHD, more annual outpatient visits (2.13, 95% CI 0.81, 3.44) compared with no indication of the respective condition. There were no such differences for indications of hypertension and diabetes, which are often asymptomatic.CONCLUSIONS: Living with undiagnosed CHD and depression was associated with worse health and, for CHD, greater utilization of healthcare. Diagnosis and management of these symptomatic conditions can potentially improve health partly through substitution of effective healthcare for that which primarily responds to symptoms.SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s44263-024-00075-0.</p

The Prevalence and Epidemiological Features of Ischaemic Heart Disease in Sri Lanka

Background: There is limited evidence on the prevalence of ischaemic heart disease (IHD) and its association with risk factors and socioeconomic status (SES) in low- and middle-income countries (LMICs). Given the relatively high levels of access to healthcare in Sri Lanka, the association of IHD with SES may be different from that observed in other LMICs. Objectives: To estimate the prevalence of IHD in Sri Lanka, determine its associated risk factors and its association with SES. Methods: We analysed data from 6,513 adults aged ≥18 years examined in the 2018/19 Sri Lanka Health and Ageing Study. We used the Rose angina questionnaire to classify participants as having angina (Angina+) and used self-report or medical records to identify participants with a history of IHD (History+). The association of Angina+ and History+ with age, ethnicity, sector of residence, education level, household SES wealth quintile, area SES wealth quintile, hypertension, diabetes, smoking, total cholesterol, cholesterol-to-HDL ratio, waist-to-hip ratio and body mass index were analysed in unadjusted and adjusted models. Additional analyses were performed to investigate sensitivity to correction for missing data and to benchmark estimates against evidence from other studies. Conclusions: We estimated prevalence of History+ of 3.9% (95% CI 3.3%-4.4%) and Angina+ of 3.0% (95% CI 2.4%-3.5%) in adults aged 18 years and over. The prevalence of Angina+ was higher in women than men (3.9% vs. 1.9%, p &lt; 0.001) whilst prevalence of History+ was lower (3.8% vs. 4.0%, p = 0.8), which may suggest a higher rate of undiagnosed IHD in women. A history of IHD was strongly associated with age, hypertension and diabetes status even after adjusting for sociodemographic factors. Though the prevalence of History+ was higher in the most developed area SES tertile and urban areas, History+ was also associated with less education but not household SES, consistent with patterns emerging from other LMICs.</p

Mental health prevalence, healthcare use and access between 2018 and 2022 in Sri Lanka: an analysis of survey data

Background Sri Lanka has suffered four decades of violent conflict, a tsunami, terrorist attacks and an economic crisis, with unknown mental health consequences. People living with mental health difficulties may experience individual, interpersonal, social or structural barriers to help-seeking. These may include stigma, lack of knowledge, denial, fear of societal repercussions, language, acceptability/appropriateness of care, lack of family support, availability of medication, lack of transport and financial barriers. It is possible that several of these factors may have manifested during the challenging time period for Sri Lankans at which this study took place. Methods Using a sample of 4030 respondents from two waves of a nationally representative survey, this study assessed the changes in the prevalence of mental health conditions, and subsequent changes in rates of healthcare usage and access, among adults in Sri Lanka between 2018 and 2022. This spanned a period of crisis and unrest, inclusive of the Easter Sunday attacks in 2019, anti-Muslim riots, the coronavirus disease 2019 pandemic and lockdown measures, as well as the current economic crisis that started in late 2021. Descriptive analyses were conducted to assess the demographic and socioeconomic characteristics of the cohort, and to quantify the prevalence of mental health difficulties within the cohort at each wave. Regression analyses examined the changes in prevalence of mental health difficulties over time. Cross-sectional descriptive analyses examined rates of healthcare use and access among those experiencing mental health difficulties, and regression analyses compared use and access for those experiencing different levels of mental health difficulties, adjusting for age, sex, education, socioeconomic status, ethnicity, religion, region and language. Results We found that 2.9% of Sri Lankans experienced high mental health difficulties during 2018–9 and 6.1% in 2021–2. There was a statistically significant increase in prevalence between 2018–9 and 2021–2 (β = 0.23, 95% confidence interval 0.20 to 0.26; p &lt; 0.05). This rise was disproportionately higher amongst older adults, those in the lowest socioeconomic classes, and those not from a minority ethnic group. The gap between inpatient use for those living with the highest and lowest levels of mental health difficulties widened across the study period, though the outpatient use gap remained stable. Finally, while those with high mental health difficulties reported high levels of unmet need for health care, when compared to those with the lowest levels of mental health difficulty, the difference was not found to be significant, likely due to a restricted sample size. Future work and limitations It would be beneficial for future studies to investigate issues with measuring mental health, applicability and the cultural safety of mental health measures. Conclusions We explored mental health in Sri Lankans during critical time periods when the country experienced various traumatic events. The lessons learnt from how mental health and healthcare access and use were measured in this study allows us to strengthen methods for future studies, allowing for robust longitudinal analyses of healthcare use and access for those experiencing common mental health difficulties. Funding This article presents independent research funded by the National Institute for Health and Care Research (NIHR) Global Health Research programme as award number 17/63/47. A plain language summary of this article is available on the NIHR Journals Library website https://doi.org/10.3310/HJWA5078

Population Norms and Disutility Catalog for Chronic Conditions in Sri Lanka

Objectives: This study aimed to produce Sri Lankan population norms of utility values, EuroQol visual analog scale scores, and reported problems in each domain of the EQ-5D-5L, as well as a disutility catalog, based on a representative set of Sri Lankan preferences. Methods: Data from a nationally representative sample of 6415 adults from the Sri Lanka Health and Ageing Study in 2018 to 2019 were used. Sri Lankan preferences were applied to EQ-5D-5L scores to produce utility values. Descriptive statistics were produced for responses by EQ-5D-5L dimension, mean utility values, and EuroQol visual analog scale scores, disaggregated by demographic and disease group. Multivariable logistic regression assessed associations with problems in each dimension, and demographic and chronic diseases. Robust ordinary least squares and tobit regressions were performed to estimate the marginal disutility of demographic covariates and disease conditions. Results: The mean utility value for the overall population was 0.867. Utility values decreased with age and increased with increasing education and richer socioeconomic quintiles. Males had higher utility values than females (0.89 vs 0.84; P &lt; .001). Utility values declined by 0.007 with each year increase in age (P &lt; .001) and statistically significant differences (P &lt; .05) in utility were found by ethnicity, socioeconomic quintile, and disease conditions such as stroke, diabetes, cancer, depression, and musculoskeletal conditions, using a tobit regression. Conclusions: This study provides the first nationally representative set of population norms based on a local value set for key demographic groups and selected chronic disease conditions for Sri Lanka. It also provides a catalog that can be easily used to calculate quality-adjusted life-years for cost-utility analysis when modeling public health interventions

Cost-Effectiveness and Distributional Impact of Opportunistic Screening for People at High-Risk of Cardiovascular Disease in Sri Lanka: A Modelling Study

Background: While hypertension, diabetes, hypercholesterolemia and high-risk of cardiovascular disease can be easily diagnosed and treated with cost-effective medicines, a large proportion of people remain undiagnosed. We assessed the potential effectiveness, cost, and distributional impact of opportunistically screening for these chronic conditions at outpatient patient departments in Sri Lanka. Methods: We used nationally representative data on biomarkers and healthcare utilization in 2019 to model the screening of people aged 40+ without preexisting CVD and without a reported diagnosis of hypertension, diabetes, or hypercholesterolemia. We modelled an intensive one month program that would screen a proportion of those making an outpatient visit to a public or private clinic and follow-up a proportion of those screened to confirm diagnoses. We also modelled a less intensive one year program. The main outcomes were the new diagnoses of any of the chronic conditions. Program costs were calculated and the socioeconomic distributions of individuals screened, new cases diagnosed, and treatments delivered were estimated. Sensitivity analyses varied the probability of screening and follow-up. Results: Using data on 2,380 survey participants who met the inclusion criteria, we estimated that the one month program would diagnose 8.2% (95% CI: 6.8, 9.6) of those with a chronic condition who would remain undiagnosed without the program. The one year program would diagnose 26.9% (95% CI: 26.5, 27.4) of the otherwise undiagnosed and would have a cost per person newly diagnosed of USD 6.82 (95% CI: 6.61, 7.03) in the public sector and USD 16.92 (95% CI: 16.37, 17.47) in the private sector. New diagnoses would be evenly distributed over the socioeconomic distribution, with public (private) clinics diagnosing a higher proportion of poorer (richer) individuals. Both programs would reduce underdiagnosis among males relative to females. Conclusions: Opportunistic screening for cardiovascular diseases at outpatient clinics in Sri Lanka could be cost-effective and equitable

Cohort Profile:The Sri Lanka Health and Ageing Study (SLHAS)

Why was the cohort set up? Sri Lanka's population is ageing with the elderly share of its population rapidly increasing. The country is also experiencing rapid epidemiological transition, with its mortality pattern now dominated by non-communicable diseases (NCDs), more similar to Europe than the rest of its region, 1 and life expectancy of 77 years close to that of the USA (78 years).2 Access to health care services, at levels more comparable to high-income countries (HICs) than other developing countries, has contributed to these transitions, despite Sri Lanka still being a lower-middle-income country (LMIC) with inadequate social protection.</p

Financing Universal Coverage in Malaysia: a case study

One of the challenges to maintain an agenda for universal coverage and equitable health system is to develop effective structuring and management of health financing. Global experiences with different systems of health financing suggests that a strong public role in health financing is essential for health systems to protect the poor and health systems with the strongest state role are likely the more equitable and achieve better aggregate health outcomes. Using Malaysia as a case study, this paper seeks to evaluate the progress and capacity of a middle income country in terms of health financing for universal coverage, and also to highlight some of the key underlying health systems challenges