All-cause excess mortality among end-stage renal disease (ESRD) patients during the COVID-19 pandemic in Thailand: a cross-sectional study from a national-level claims database.

OBJECTIVES: COVID-19 infection increased nephrology-related risks and mortality rate among end-stage renal disease (ESRD) patients. The pandemic also disrupted essential healthcare services. We aim to explore all-cause excess mortality among ESRD patients who were members of the Universal Coverage Scheme (UCS), the largest public health insurance scheme in Thailand covering citizens who are not employed in the formal sector, including children and older persons. DESIGN: A cross-sectional study. SETTING: We retrieved the dataset from the UCS claims database-electronic health records used for processing healthcare expense claims from medical facilities of all UCS members. This database links mortality outcome to civil registration. We employed the WHO's excess mortality methodology using pre-pandemic data to estimate expected deaths during the pandemic period (March 2020 to August 2022). PARTICIPANTS: This study included ESRD patients from across Thailand, covered by the UCS. PRIMARY OUTCOME MEASURE: Excess deaths are the difference between predicted and reported deaths. RESULTS: Over a 30-month period of the pandemic, the total number of all-cause excess deaths among ESRD patients was 4966 (male 1284; female 3682). The excess death per 100 000 ESRD patients was 3601 (male 2012; female 4969). The relative excess death was 5.7% of expected deaths (95% CI 1.7%, 10.0%). The excess deaths were highly concentrated among patients aged 65 and older. CONCLUSION: ESRD patients are significantly more vulnerable to pandemic-related mortality than the general population. Health systems' capacity to contain the pandemic at varying virulence and maintain essential health services for ESRD patients might be related to the size of excess deaths at different periods. The observed excess deaths highlight the importance of established strategies to reduce all-cause mortality such as rapid vaccine rollout for ESRD patients and sustaining dialysis and other essential services for older patients and other high-risk groups.

Contributions of national and global health estimates to monitoring health-related Sustainable Development Goals in Thailand.

The Millennium Development Goals (MDGs) triggered increased demand for data on child and maternal mortality for monitoring progress. With the advent of the Sustainable Development Goals (SDGs) and growing evidence of an epidemiological transition towards non-communicable diseases, policy makers need data on mortality and disease trends and distribution to inform effective policies and support monitoring progress. Where there are limited capacities to produce national health estimates (NHEs), global health estimates (GHEs) can fill gaps for global monitoring and comparisons. This paper draws lessons learned from Thailand's burden of disease study (BOD) on capacity development for NHEs, and discusses the contributions and limitation of GHEs in informing policies at country level. Through training and technical support by external partners, capacities are gradually strengthened and institutionalized to enable regular updates of BOD at national and sub-national levels. Initially, the quality of cause of death reporting in the death certificates was inadequate, especially for deaths occurring in the community. Verbal autopsies were conducted, using domestic resources, to determine probable causes of deaths occurring in the community. This helped improve the estimation of years of life lost. Since the achievement of universal health coverage in 2002, the quality of clinical data on morbidities has also considerably improved. There are significant discrepancies between the 2010 Global Burden of Diseases (GBD) estimates for Thailand and the 1999 nationally generated BOD, especially for years of life lost due to HIV/AIDS, and the ranking of priority diseases. National ownership of NHEs and effective interfaces between researchers and decision makers contribute to enhanced country policy responses, while sub-national data are intended to be used by various sub-national-level partners. Though GHEs contribute to benchmarking country achievement compared with global health commitments, they may hamper development of NHE capacities. GHEs should encourage and support countries to improve their data systems and develop a data infrastructure that supports the production of empirical data needed to underpin estimation efforts.

Influenza-associated mortality in Thailand, 2006-2011.

BACKGROUND: Influenza-associated mortality in subtropical or tropical regions, particularly in developing countries, remains poorly quantified and often underestimated. We analyzed data in Thailand, a middle-income tropical country with good vital statistics and influenza surveillance data. METHODS: We obtained weekly mortality data for all-cause and three underlying causes of death (circulatory and respiratory diseases, and pneumonia and influenza), and weekly influenza virus data, from 2006 to 2011. A negative binomial regression model was used to estimate deaths attributable to influenza in two age groups (<65 and ≥65 years) by incorporating influenza viral data as covariates in the model. RESULTS: From 2006 to 2011, the average annual influenza-associated mortality per 100 000 persons was 4·0 (95% CI: -18 to 26). Eighty-three percent of influenza-associated deaths occurred among persons aged > 65 years. The average annual rate of influenza-associated deaths was 0·7 (95% CI: -8·2 to 10) per 100 000 population for person aged <65 years and 42 (95% CI: -137 to 216) for person aged ≥ 65 years. DISCUSSION: In Thailand, estimated excess mortality associated with influenza was considerable even during non-pandemic years. These data provide support for Thailand's seasonal influenza vaccination campaign. Continued monitoring of mortality data is important to assess impact.

Additional Burden of Diseases Associated with Cadmium Exposure: A Case Study of Cadmium Contaminated Rice Fields in Mae Sot District, Tak Province, Thailand.

The cadmium (Cd) contaminated rice fields in Mae Sot District, Tak Province, Thailand has been one of the major environmental problems in Thailand for the last 10 years. We used disability adjusted life years (DALYs) to estimate the burden of disease attributable to Cd in terms of additional DALYs of Mae Sot residents. Cd exposure data included Cd and ß2-microglobulin (ß2-MG) in urine (as an internal exposure dose) and estimated cadmium daily intake (as an external exposure dose). Compared to the general Thai population, Mae Sot residents gained 10%-86% DALYs from nephrosis/nephritis, heart diseases, osteoporosis and cancer depending on their Cd exposure type and exposure level. The results for urinary Cd and dietary Cd intake varied according to the studies used for risk estimation. The ceiling effect was observed in results using dietary Cd intake because of the high Cd content in rice grown in the Mae Sot area. The results from ß2-MG were more robust with additional DALYs ranging from 36%-86% for heart failure, cerebral infraction, and nephrosis/nephritis. Additional DALYs is a useful approach for assessing the magnitude of environmental Cd exposure. The Mae Sot population lost more healthy life compared to populations living in a non- or less Cd polluted area. This method should be applicable to various types of environmental contamination problems if exposure assessment information is available.