Assessing the Quality of Cause-of-Death Reporting Before and During the COVID-19 Pandemic.

This study assessed the quality of cause-of-death reporting in the US before and during the COVID-19 pandemic. We used the selection rate and the adjusted odds ratio (aOR) to analyze each cause identified by the National Center for Health Statistics as unsuitable for the underlying cause of death (UCOD). The selection rate was defined as the proportion of deaths with mention of a particular unsuitable UCOD on the death certificate where that cause was ultimately selected as the UCOD. Out of 36 unsuitable UCODs, 33 exhibited a significant decline in selection rates from 2019 to 2021. However, when deaths with mention of COVID-19 on the death certificate were excluded, only 19 causes revealed a significant decline. In analyses that controlled for the age of decedents, aORs in 2021 were significantly lower compared with 2019 for 26 causes, and this number decreased to 17 causes in analyses that excluded COVID-19-related deaths. In conclusion, the overall quality of COD reporting improved during the COVID-19 pandemic, attributable mainly to the fact that over one-tenth of the deaths were related to COVID-19. Yet, for deaths that did not involve COVID-19, improvements in the quality of COD reporting were less prominent for certain causes.

Discrepancies in dengue burden estimates: a comparative analysis of reported cases and global burden of disease study, 2010-2019.

BACKGROUND: Dengue is a significant mosquito-borne disease. Several studies have utilized estimates from the Global Burden of Disease (GBD) study to assess the global, regional or national burden of dengue over time. However, our recent investigation suggests that GBD's estimates for dengue cases in Taiwan are unrealistically high. The current study extends the scope to compare reported dengue cases with GBD estimates across 30 high-burden countries and territories, aiming to assess the accuracy and interpretability of the GBD's dengue estimates. METHODS: Data for this study were sourced from the GBD 2019 study and various national and international databases documenting reported dengue cases. The analysis targeted the top 30 countries and territories with the highest 10-year average of reported cases from 2010 to 2019. Discrepancies were quantified by computing absolute differences and ratios between the 10-year average of reported cases and GBD estimates. Coefficients of variation (CV) and estimated annual percentage changes (EAPCs) were calculated to assess variations and trends in the two data sources. RESULTS: Significant discrepancies were noted between reported data and GBD estimates in the number of dengue cases, incidence rates, and EAPCs. GBD estimates were substantially higher than reported cases for many entities, with the most notable differences found in China (570.0-fold), India (303.0-fold), Bangladesh (115.4-fold), Taiwan (85.5-fold) and Indonesia (23.2-fold). Furthermore, the GBD's estimates did not accurately reflect the extensive yearly fluctuations in dengue outbreaks, particularly in non-endemic regions such as Taiwan, China and Argentina, as evidenced by high CVs. CONCLUSIONS: This study reveals substantial discrepancies between GBD estimates and reported dengue cases, underscoring the imperative for comprehensive analysis in areas with pronounced disparities. The failure of GBD estimates to represent the considerable annual fluctuations in dengue outbreaks highlights the critical need for improvement in disease burden estimation methodologies for dengue.

Decomposing and simplifying the Fracture Risk Assessment Tool-a module from the Taiwan-specific calculator.

The Fracture Risk Assessment Tool (FRAX®) is a widely utilized country-specific calculator for identifying individuals with high fracture risk; its score is calculated from 12 variables, but its formulation is not publicly disclosed. We aimed to decompose and simplify the FRAX® by utilizing a nationwide community survey database as a reference module for creating a local assessment tool for osteoporotic fracture community screening in any country. Participants (n = 16384; predominantly women (75%); mean age = 64.8 years) were enrolled from the Taiwan OsteoPorosis Survey, a nationwide cross-sectional community survey collected from 2008 to 2011. We identified 11 clinical risk factors from the health questionnaires. BMD was assessed via dual-energy X-ray absorptiometry in a mobile DXA vehicle, and 10-year fracture risk scores, including major osteoporotic fracture (MOF) and hip fracture (HF) risk scores, were calculated using the FRAX®. The mean femoral neck BMD was 0.7 ± 0.1 g/cm2, the T-score was -1.9 ± 1.2, the MOF was 8.9 ± 7.1%, and the HF was 3.2 ± 4.7%. Following FRAX® decomposition with multiple linear regression, the adjusted R2 values were 0.9206 for MOF and 0.9376 for HF when BMD was included and 0.9538 for MOF and 0.9554 for HF when BMD was excluded. The FRAX® demonstrated better prediction for women and younger individuals than for men and elderly individuals after sex and age stratification analysis. Excluding femoral neck BMD, age, sex, and previous fractures emerged as 3 primary clinical risk factors for simplified FRAX® according to the decision tree analysis in this study population. The adjusted R2 values for the simplified country-specific FRAX® incorporating 3 premier clinical risk factors were 0.8210 for MOF and 0.8528 for HF. After decomposition, the newly simplified module provides a straightforward formulation for estimating 10-year fracture risk, even without femoral neck BMD, making it suitable for community or clinical osteoporotic fracture risk screening.

Effects of an integrated ambulatory care program on healthcare utilization and costs in older patients with multimorbidity: a propensity score-matched cohort study.

BACKGROUND: Population aging has increased the prevalence of multimorbidity, jeopardizing the sustainability and efficiency of healthcare systems. This study aimed to evaluate the effects of an integrated ambulatory care program (IACP) on healthcare utilization and costs among older patients with multimorbidity while accounting for the confounding effects of frailty. METHODS: A retrospective cohort study using propensity matching including patients aged 65 or older with two or more chronic conditions attending the outpatient clinic at our hospital between June 1 and December 31, 2019, was conducted. Exposure was defined as receipt of IACP care. Patients not undergoing the IACP comprised the unexposed group and were matched at a ratio of 1:4 to patients undergoing the IACP group according to sex, age, Charlson Comorbidity Index score, multimorbidity frailty index score, and number of outpatient visits within 6 months before the index date. Outcomes were changes in healthcare utilization and related costs between 6 months before and after receiving IACP care. Multivariate regression analyses were used for data analysis and the Generalized Estimation Equation method was used to fit the regression models. RESULTS: A total of 166 (IACP) and 664 (non-exposed) patients were analyzed. The mean participant baseline ages were 77.15 ± 7.77 (IACP) and 77.28 ± 7.90 years (unexposed). In univariate analyses, the IACP group demonstrated greater reductions than the unexposed group in the frequency of outpatient visits (-3.16 vs. -1.36, p < 0.001), number of physicians visited (-0.99 vs. -0.17, p < 0.001), diagnostic fees (-1300 New Taiwan Dollar [NTD] vs. -520 NTD, p < 0.001), drug prescription fees (-250 NTD vs. -70 NTD, p < 0.001), and examination fees (-1620 NTD vs. -700 NTD, p = 0.014). Multivariate analyses demonstrated that patients in the IACP group experienced significant reduction in the frequency of outpatient visits (95% CI: -0.357 to -0.181, p < 0.001), number of physicians visited (95% CI: -0.334 to -0.199, p < 0.001), and overall outpatient costs (95% CI: -0.082 to -0.011, p = 0.01). However, emergency department utilization, hospitalization, and costs did not differ significantly. CONCLUSIONS: Expanding IACPs may help patients with multimorbidity reduce their use of outpatient clinics at the 6-month follow-up, reduce care fragmentation, and promote sustainability of the healthcare system.

Correction: Dashboard With Bump Charts to Visualize the Changes in the Rankings of Leading Causes of Death According to Two Lists: National Population-Based Time-Series Cross-Sectional Study.

[This corrects the article DOI: 10.2196/42149.].

Pregnancy is associated with more severe injuries from motor vehicle crashes.

OBJECTIVE: Whether pregnancy is associated with severe injuries from motor vehicle crashes (MVCs) remains unclear. This study aimed to investigate the potential relationship between pregnancy and severity of injuries from MVCs. METHODS: We identified a total of 23,559 pregnant women victims who encountered MVCs during pregnancy as well as 94,236 age- and calendar year-at MVC matched non-pregnant women victims that are also involved in MVCs. Injury severity was assessed using the Maximum Abbreviated Injury Scale (MAIS) based on the diagnosis of medical claims after MVCs. Multinomial logistic regression models were used to estimate the odds ratio and corresponding 95 % CI of injury severity levels associated with pregnancy. RESULTS: Pregnant women had a significantly higher risk of both severe (adjusted odds ratio, aOR = 1.79, 95 % CI = 1.54-2.08) and mild injuries (aOR = 8.63, 95 % CI = 8.21-9.07) following MVCs as compared to non-pregnant women victims. Particularly, pregnant women who were riding scooters had an increased risk of severe injury (aOR = 4.25, 95 % CI = 3.58-5.04). In addition, pregnant women who experienced MVC but without any injury were more likely to visit a clinic than non-pregnant MVC victims. CONCLUSION: Pregnant women victims, particularly those who were riding scooters involved in MVCs suffered from a higher risk of severe injury as compared to their non-pregnant counterparts. Our findings suggest that women should consider avoiding riding a scooter and must use restrictive devices during pregnancy, which would help reduce the severity of injuries sustained following an MVC.

Profiles of pregnant women encountering motor vehicle crashes in Taiwan, 2008-2017.

BACKGROUND: Understanding demographic profiles is essential to the assessment of health burden imposed by motor vehicle crashes (MVCs) on pregnant women. However, Asian studies that have examined it are lacking. The study aimed to describe the demographic characteristics and prevalence of MVCs involving pregnant women in Taiwan. METHODS: A cross-sectional study conducted by the Taiwan Birth Notification dataset from 2008 to 2017 was linked with the police-reported traffic collision registry to identify pregnant women involved in MVCs. The pregnant women were categorized according to their gestational age, age at delivery, the role of road user (driver, passenger, or pedestrian), and vehicle types (car, two-wheeled motor vehicle, or others). A chi-square test was performed for the significance test. RESULTS: A total of 22,134 (1.13%) pregnant women were involved in MVCs in the study period. Two-wheeled motor vehicle (47.9%) and driver (81.4%) were the mainly reported vehicle type and road user at the crash scenes, respectively. The majority of MVCs occurred in pregnant women aged 28-34 years. The number of MVCs rapidly declined after 37 weeks of gestation, especially two-wheeled motor vehicle or car crashes. However, the number of pedestrian victims climbed up during the third trimester. CONCLUSION: Pregnant women are susceptible to MVCs regardless of their gestational age, role of a road user, or type of vehicle. The findings of this study emphasize the need for increased awareness of traffic collision prevention among pregnant women aged 28-34. In addition, improving pedestrian safety is essential for the reduction of pregnant victims.

Dynamic reciprocal relationships between traditional media reports, social media postings, and youth suicide in Taiwan between 2012 and 2021.

Rising social media use over the past decade has been linked with increasing suicide rates among young people. Previous studies that assessed the impact of social media on suicide have typically focused on single social media platforms, such as Twitter, and assumed unidirectional associations, where social media posts leads to suicide. Our study focused on the past decade (2012-2021) which has witnessed a rapid increase of social media platforms and use. Poisson and negative binominal auto-regression models were employed to examine the dynamic reciprocity between social media, traditional media and youth suicides in Taiwan. Increased volume in suicide-related social media posts positively correlated with increased youth suicide rates (ß = 2.53 × 10-5, 95% CI= (0.83 × 10-5, 4.24 × 10-5), P < 0.01), but increased rates of youth suicide was not related to an increase in suicide-related social media posts. Suicide-related posts on social media triggered reporting of suicide-related news on traditional media platforms (ß = 3.35 × 10-2, 95% CI= (2.51 × 10-2, 4.19 × 10-2), P < 0.001), whilst traditional media reports of suicide led to increased suicide-related social media posts (ß = 6.13 × 10-1, 95% CI = (4.58 × 10-1, 7.68 × 10-1); P < 0.001). However, suicide-related reports on traditional media platforms did not directly lead to an increase in youth suicide rates. Our findings highlight challenges for suicide prevention strategies in the 21st Century, in dealing with the increasing prominence of social media over traditional media. As social media is more difficult to regulate than traditional media, suicide prevention efforts must adapt to this new landscape by developing innovative strategies that address the unique risks and opportunities presented by social media.

Risks of motor vehicle crash before and during pregnancy: A population-based controlled study in Taiwan.

BACKGROUND: Changes in risk of motor vehicle crashes (MVCs) during pregnancy are less known, and very few studies have assessed this issue by using unselected population-based datasets and adopting a before-and-during design. The study aimed to address the risk of MVC events in association with pregnancy using a national pregnant women cohort in Taiwan. METHODS: We conducted a self-matched design in which each woman served as a driver before and during pregnancy. A total of 1,372,664 pregnant women with live birth(s) at 18-50 years of age between 2008 and 2017 were identified from the Birth Notification dataset. MVC events as a driver were ascertained from the Police-reported Traffic Accident Registry dataset. We calculated the rate ratio (RR) with a 95 % confidence interval (CI) using the conditional Poisson regression model to compare the MVC event rates between pre-pregnancy and pregnancy periods. RESULTS: The overall rate of MVC events was significantly reduced during pregnancy (RR = 0.69, 95 % confidence interval (CI) = 0.68-0.71). Mothers with alcoholism during pregnancy were associated with an increased RR at 2.00 but with a very wide CI. Reduction in RR was primarily attributed to the reduced MVC event rate involving scooter crashes (0.60, 95 % CI = 0.58-0.62). CONCLUSION: Although MVC event rates decreased during women became pregnant, many women drivers were still involved in MVCs during pregnancy. Their potential maternal and perinatal conditions along with their offspring's health outcomes need further investigations.

Overall and cause-specific mortality in patients with dementia: a population-based cohort study in Taiwan.

OBJECTIVES: Information regarding the underlying causes of death (UCODs) and standardized mortality ratio (SMR) of dementia is instrumental in formulating medical strategies to prolong life in persons with dementia (PWD). We examined the leading UCODs among PWD and estimated the overall and cause-specific SMRs in relation to dementia in Taiwan. METHODS: Data were retrieved from 2 national datasets: the Taiwan Death Registry and the medical claim datasets of the National Health Insurance program. The observed person-years for each study participant were counted from the date of cohort enrollment to either the date of death or the final day of 2016. Sex-specific and age-specific SMRs were then calculated. RESULTS: The leading UCOD was circulatory disease, accounting for 26.0% of total deaths (n=3,505), followed by respiratory disease at 21.3% (n=2,875). PWD were at significantly increased risk of all-cause mortality (SMR, 2.01), with SMR decreasing with advancing age. A cause-specific analysis revealed that the highest SMRs were associated with nervous system diseases (SMR, 7.58) and mental, behavioral, and neurodevelopmental disorders (SMR, 4.80). Age appeared to modify SMR, suggesting that younger age at cohort enrollment was linked to higher SMRs for nearly all causes of mortality. CONCLUSIONS: Circulatory and respiratory diseases were the leading UCODs among PWD. The particularly elevated mortality due to nervous system diseases and mental disorders suggests that allocating more resources to neurological and psychiatric services is warranted. The elevated SMRs of various UCODs among younger PWD underscore the need for clinicians to pay particular attention to the medical care provided to these patients.

Associations of maternal motor vehicle crashes during pregnancy with offspring's neonatal birth outcomes.

BACKGROUND: Adverse events in fetuses are well researched but studies on the follow-up health outcomes of infants exposed to maternal motor vehicle crashes (MVCs) during pregnancy have yielded inconsistent results. This study aimed to investigate the association of maternal exposure to MVCs during pregnancy with the risk of adverse neonatal outcomes. METHODS: This population-based cohort study used data from birth notifications in Taiwan. A total of 19 277 offspring with maternal exposure to MVCs during pregnancy and 76 015 randomly selected comparison offspring without such exposure were selected. Neonatal adverse outcomes were identified from National Health Insurance medical claims data. Conditional logistic regression was used to estimate the unadjusted and adjusted odds ratios (aORs) of neonatal adverse outcomes. RESULTS: Offspring exposed to maternal MVCs during pregnancy had a higher risk of birth defects (aOR, 1.21; 95% CI, 1.04-1.41) than offspring without such exposure. This positive association was sustained with exposure to an MVC during the first or second trimester. A dose-response relationship (P = 0.0023) was observed between the level of injury severity and the risk of birth defects. CONCLUSIONS: In the early stages of pregnancy, maternal exposure to MVCs may entail a risk of birth defects in the offspring. The potential mechanisms for the associations of maternal exposure to MVCs with birth defects need further investigation.

International Variations in Dementia and Alzheimer Disease Diagnosis and Certification Habits and Their Associations With Dementia and Alzheimer Disease Mortality: A Cross-Sectional Study of 38 Countries.

OBJECTIVE: To examine international variations in national diagnosis and certification habits prefer recording dementia (D) versus Alzhiemer disease (AD) as the underlying cause of death (UCOD) and their associations with mortality rates of dementia and AD. METHODS: We calculated proportions of D/D+AD and AD/D+AD deaths as proxies of national diagnosis and certification habits. Pearson correlation coefficients (r) were estimated to assess the associations of proportions with the mortality rates of dementia or AD among adults aged 75 to 84 years across 38 countries. RESULTS: The countries with a high preference for recording dementia as the UCOD were Taiwan and Latvia with proportion of D/D+AD deaths of 92% and 88%, respectively, and those with a high preference for recording AD as the UCOD were Slovenia, Turkey, and Poland with proportion of AD/D+AD deaths of 100%, 99%, and 89%, respectively. The r values for the proportions and mortality rate for dementia and AD were 0.67 (95% CI: 0.44-0.81) and 0.46 (95% CI: 0.16-0.68), respectively. CONCLUSION: We identified a small number of countries with obvious natonal diagnosis and certification habits preferring dementia or AD and had moderate effects on international variations in the mortality rates of dementia and AD.

Dashboard With Bump Charts to Visualize the Changes in the Rankings of Leading Causes of Death According to Two Lists: National Population-Based Time-Series Cross-Sectional Study.

BACKGROUND: Health advocates and the media often use the rankings of the leading causes of death (CODs) to draw attention to health issues with relatively high mortality burdens in a population. The National Center for Health Statistics (NCHS) publishes "Deaths: leading causes" annually. The ranking list used by the NCHS and statistical offices in several countries includes broad categories such as cancer, heart disease, and accidents. However, the list used by the World Health Organization (WHO) subdivides broad categories (17 for cancer, 8 for heart disease, and 6 for accidents) and classifies Alzheimer disease and related dementias and hypertensive diseases more comprehensively compared to the NCHS list. Regarding the data visualization of the rankings of leading CODs, the bar chart is the most commonly used graph; nevertheless, bar charts may not effectively reveal the changes in the rankings over time. OBJECTIVE: The aim of this study is to use a dashboard with bump charts to visualize the changes in the rankings of the leading CODs in the United States by sex and age from 1999 to 2021, according to 2 lists (NCHS vs WHO). METHODS: Data on the number of deaths in each category from each list for each year were obtained from the Wide-ranging Online Data for Epidemiologic Research system, maintained by the Center for Disease Control and Prevention. Rankings were based on the absolute number of deaths. The dashboard enables users to filter by list (NCHS or WHO) and demographic characteristics (sex and age) and highlight a particular COD. RESULTS: Several CODs that were only on the WHO list, including brain, breast, colon, hematopoietic, lung, pancreas, prostate, and uterus cancer (all classified as cancer on the NCHS list); unintentional transport injury; poisoning; drowning; and falls (all classified as accidents on the NCHS list), were among the 10 leading CODs in several sex and age subgroups. In contrast, several CODs that appeared among the 10 leading CODs according to the NCHS list, such as pneumonia, kidney disease, cirrhosis, and sepsis, were excluded from the 10 leading CODs if the WHO list was used. The rank of Alzheimer disease and related dementias and hypertensive diseases according to the WHO list was higher than their ranks according to the NCHS list. A marked increase in the ranking of unintentional poisoning among men aged 45-64 years was noted from 2008 to 2021. CONCLUSIONS: A dashboard with bump charts can be used to improve the visualization of the changes in the rankings of leading CODs according to the WHO and NCHS lists as well as demographic characteristics; the visualization can help users make informed decisions regarding the most appropriate ranking list for their needs.

Ranking of Alzheimer's disease and related dementia among the leading causes of death in the US varies depending on NCHS or WHO definitions.

INTRODUCTION: We compared the ranking of Alzheimer's disease and related dementia (ADRD) among the leading causes of death (LCODs) between those according to the National Center for Health Statistics (NCHS) and the World Health Organization (WHO) lists by sex. METHOD: The number of deaths in each LCOD category was obtained from CDC WONDER. RESULTS: According to the WHO list, ADRD was the second LCOD from 2005 to 2013, the first from 2014 to 2020, and the third in 2021, respectively, for women and was the second in 2018 and 2019, the third in 2020, and the fourth in 2021, respectively, for men. According to the NCHS list, Alzheimer's disease was the fourth in 2019 and 2020 for women and was the seventh from 2016 to 2019 for men. DISCUSSION: The ranking of ADRD among the LCODs according to the WHO list was higher than those according to the NCHS list.

Refracture risk and all-cause mortality after vertebral fragility fractures: Anti-osteoporotic medications matter.

BACKGROUND: Osteoporotic vertebral fractures may predict the future occurrence of fractures and increase mortality. Treating underlying osteoporosis may prevent second fractures. However, whether anti-osteoporotic treatment can reduce the mortality rate is not clear. The aim of this population study was to identify the degree of decreased mortality following the use of anti-osteoporotic medication after vertebral fractures. METHODS: We identified patients who had newly diagnosed osteoporosis and vertebral fractures from 2009 to 2019 using the Taiwan National Health Insurance Research Database (NHIRD). We used national death registration data to determine the overall mortality rate. RESULTS: There were 59,926 patients with osteoporotic vertebral fractures included in this study. After excluding patients with short-term mortality, patients who had previously received anti-osteoporotic medications had a lower refracture rate as well as a lower mortality risk (hazard ratio (HR): 0.84, 95% confidence interval (CI): 0.81-0.88). Patients receiving treatment for more than 3 years had a much lower mortality risk (HR: 0.53, 95% CI: 0.50-0.57). Patients who used oral bisphosphonates (alendronate and risedronate, HR: 0.95, 95% CI: 0.90-1.00), intravenous zoledronic acid (HR: 0.83, 95% CI: 0.74-0.93), and subcutaneous denosumab injections (HR: 0.71, 95% CI: 0.65-0.77) had lower mortality rates than patients without further treatment after vertebral fractures. CONCLUSION: In addition to fracture prevention, anti-osteoporotic treatments for patients with vertebral fractures were associated with a reduction in mortality. A longer duration of treatment and the use of long-acting drugs was also associated with lower mortality.

Maternal outcomes in association with motor vehicle crashes during pregnancy: a nationwide population-based retrospective study.

BACKGROUND: Limited studies have assessed the association of motor vehicle crashes (MVCs) during pregnancy with adverse maternal outcomes using a population-based nationwide dataset that covers all MVCs. METHODS: A total of 20 844 births from women who had been involved in MVCs during pregnancy were obtained from the National Birth Notification (BN) Database in Taiwan. We randomly selected 83 274 control births from women in the BN matched on age, gestational age and crash date. All study subjects were linked to medical claims and the Death Registry to identify the maternal outcomes after crashes. Conditional logistic regression models were used to estimate the adjusted odds ratio (aOR) and 95% CI of adverse outcomes associated with MVCs during pregnancy. RESULTS: Pregnant women involved in MVCs had significantly higher risks of placental abruption (aOR=1.51, 95% CI 1.30 to 1.74), prolonged uterine contractions (aOR=1.31, 95% CI 1.11 to 1.53), antepartum haemorrhage (aOR=1.19, 95% CI 1.12 to 1.26) and caesarean delivery (aOR=1.05, 95% CI 1.02 to 1.09) than the controls. Such elevated risks tended to be higher in the MVCs with greater severity. Scooter riders had higher ORs of various adverse maternal outcomes than car drivers. CONCLUSIONS: Women involved in MVCs during pregnancy were at increased risk of various adverse maternal outcomes, especially in those with severe MVCs and riding scooters at MVCs. These findings suggest that clinicians should be aware of these effects, and educational materials that include the above information should be provided as part of prenatal care.

Long-term secular trends in dermatomyositis and polymyositis mortality in the USA from 1981 to 2020 according to underlying and multiple cause of death mortality data.

BACKGROUND: People with dermatomyositis (DM) or polymyositis (PM) often die from cancer, pulmonary, cardiac complications, or infections. In such cases, DM or PM might not be designated as the underlying cause of death (UCD) for mortality tabulation. In this study, we investigated DM/PM mortality trends in the USA from 1981 to 2020 with respect to UCD and multiple causes of death (MCD) data. METHODS: We used the MCD data to identify all deaths with DM or PM mentioned anywhere on the death certificate and as the UCD in the USA from 1981-1982 to 2019-2020. We calculated age-adjusted mortality rates (AAMRs) and annual percentage changes (APCs) based on joinpoint regression analysis. RESULTS: We identified 12,249 (3985 with DM and 7097 with PM) and 23,608 (8264 with DM and 15,344 with PM) people who died between 1981 and 2020 according to the UCD and MCD data, respectively. For DM, the APC was - 6.7% (from 1981-1982 to 1985-1986), - 0.1% (from 1985-1986 to 2003-2004), and - 1.9% (from 2003-2004 to 2019-2020) according UCD and was - 1.2% (from 1981-1982 to 2003-2004), - 2.5% (from 2003-2004 to 2015-2016), and 2.8% (from 2015-2016 to 2019-2020) according MCD. For PM, the APC was 1.9% (from 1981-1982 to 1989-1990), - 2.3% (from 1989-1990 to 2005-2006), and - 5.2% (from 2005-2006 to 2019-2020) according UCD and was 1.3% (from 1981-1982 to 1991-1992) and - 4.1% (from 1991-1992 to 2019-2020) according MCD. CONCLUSION: We identified two times as many DM/PM deaths using the MCD as those identified using the UCD. Similar downward DM/PM mortality trends were noted according to UCD and MCD. However, the year of significant decline in PM mortality was about 10 years earlier according to MCD than those according to UCD.

Changes in the rankings of leading causes of death in Japan, Korea, and Taiwan from 1998 to 2018: a comparison of three ranking lists.

BACKGROUND: The ranking lists used by most countries for leading causes of death (CODs) comprise broad category such as cancer, heart disease, and accidents. To provide more specific information, the World Health Organization (WHO) and the Institute of Health Metrics and Evaluation (IHME) proposed lists that splitting broad categories into specific categories. We examined the changes in rankings of leading CODs according to different lists in Japan, Korea, and Taiwan from 1998 to 2018. METHODS: We obtained the number of deaths for three countries from the WHO mortality database for 1998, 2008, and 2018. Age-standardized death rates were calculated for rankings 10 leading CODs using WHO 2000 age structure as standard. RESULTS: The first leading COD was cancer in Japan, Korea, and Taiwan from 1998 to 2018 based on government list; nevertheless, became stroke based on WHO list, and was stroke and ischemic heart disease based on IHME list. In the WHO and IHME lists, cancer is categorized based on cancer site. The number of cancer sites included in the 10 leading CODs in 2018 was 4, 4, and 3 in Japan, Korea, and Taiwan, respectively according to the WHO list and was 4, 4, and 2, respectively according to IHME list. The only difference was the rank of liver cancer in Taiwan, which was 6th according to WHO list and was 18th according to IHME list. The ranking and number of deaths for some CODs differed greatly between the WHO and IHME lists due to the reallocation of "garbage codes" into relevant specific COD in IHME list. CONCLUSIONS: Through the use of WHO and the IHME lists, the relative importance of several specific and avoidable causes could be revealed in 10 leading CODs, which could not be discerned if the government lists were used. The information is more relevant for health policy decision making.