Xuechen Xiong, Zhaohua Huo, Yinan Zhou, David M Bishai, Karen A Grépin, Philip M Clarke, Cynthia Chen, Li Luo, Jianchao Quan
{"title":"可改变的风险因素导致的经济成本:对中国 2400 万城市居民的分析。","authors":"Xuechen Xiong, Zhaohua Huo, Yinan Zhou, David M Bishai, Karen A Grépin, Philip M Clarke, Cynthia Chen, Li Luo, Jianchao Quan","doi":"10.1186/s12916-024-03772-7","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Estimating the economic burden of modifiable risk factors is crucial for allocating scarce healthcare resources to improve population health. We quantified the economic burden attributable to modifiable risk factors in an urban area of China.</p><p><strong>Methods: </strong>Our Shanghai Municipal Health Commission dataset covered 2.2 million inpatient admissions for adults (age ≥ 20) in public and private hospitals in 2015 (1,327,187 admissions) and 2020 (837,482 admissions). We used a prevalence-based cost-of-illness approach by applying population attributable fraction (PAF) estimates for each modifiable risk factor from the Global Burden of Diseases Study (GBD) to estimate attributable costs. We adopted a societal perspective for cost estimates, comprising direct healthcare costs and productivity losses from absenteeism and premature mortality. Future costs were discounted at 3% and adjusted to 2020 prices.</p><p><strong>Results: </strong>In 2020, the total societal cost attributable to modifiable risk factors in Shanghai was US$7.9 billion (95% uncertainty interval [UI]: 4.6-12.4b), mostly from productivity losses (67.9%). Two health conditions constituted most of the attributable societal cost: cancer (51.6% [30.2-60.2]) and cardiovascular disease (31.2% [24.6-50.7]). Three modifiable risk factors accounted for half of the total attributable societal cost: tobacco (23.7% [16.4-30.5]), alcohol (13.3% [8.2-19.7]), and dietary risks (12.2% [7.5-17.7]). The economic burden varied by age and sex; most of the societal costs were from males (77.7%), primarily driven by their tobacco and alcohol use. The largest contributor to societal costs was alcohol for age 20-44, and tobacco for age 45 + . Despite the COVID-19 pandemic, the pattern of major modifiable risk factors remained stable from 2015 to 2020 albeit with notable increases in attributable healthcare costs from cancers and productivity losses from cardiovascular diseases.</p><p><strong>Conclusions: </strong>The substantial economic burden of diseases attributable to modifiable risk factors necessitates targeted policy interventions. Priority areas are reducing tobacco and alcohol consumption and improving dietary habits that together constitute half of the total attributable costs. Tailored interventions targeting specific age and sex groups are crucial; namely tobacco in middle-aged/older males and alcohol in younger males.</p>","PeriodicalId":9188,"journal":{"name":"BMC Medicine","volume":"22 1","pages":"549"},"PeriodicalIF":7.0000,"publicationDate":"2024-11-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11580671/pdf/","citationCount":"0","resultStr":"{\"title\":\"Economic costs attributable to modifiable risk factors: an analysis of 24 million urban residents in China.\",\"authors\":\"Xuechen Xiong, Zhaohua Huo, Yinan Zhou, David M Bishai, Karen A Grépin, Philip M Clarke, Cynthia Chen, Li Luo, Jianchao Quan\",\"doi\":\"10.1186/s12916-024-03772-7\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>Estimating the economic burden of modifiable risk factors is crucial for allocating scarce healthcare resources to improve population health. We quantified the economic burden attributable to modifiable risk factors in an urban area of China.</p><p><strong>Methods: </strong>Our Shanghai Municipal Health Commission dataset covered 2.2 million inpatient admissions for adults (age ≥ 20) in public and private hospitals in 2015 (1,327,187 admissions) and 2020 (837,482 admissions). We used a prevalence-based cost-of-illness approach by applying population attributable fraction (PAF) estimates for each modifiable risk factor from the Global Burden of Diseases Study (GBD) to estimate attributable costs. We adopted a societal perspective for cost estimates, comprising direct healthcare costs and productivity losses from absenteeism and premature mortality. Future costs were discounted at 3% and adjusted to 2020 prices.</p><p><strong>Results: </strong>In 2020, the total societal cost attributable to modifiable risk factors in Shanghai was US$7.9 billion (95% uncertainty interval [UI]: 4.6-12.4b), mostly from productivity losses (67.9%). Two health conditions constituted most of the attributable societal cost: cancer (51.6% [30.2-60.2]) and cardiovascular disease (31.2% [24.6-50.7]). Three modifiable risk factors accounted for half of the total attributable societal cost: tobacco (23.7% [16.4-30.5]), alcohol (13.3% [8.2-19.7]), and dietary risks (12.2% [7.5-17.7]). The economic burden varied by age and sex; most of the societal costs were from males (77.7%), primarily driven by their tobacco and alcohol use. The largest contributor to societal costs was alcohol for age 20-44, and tobacco for age 45 + . Despite the COVID-19 pandemic, the pattern of major modifiable risk factors remained stable from 2015 to 2020 albeit with notable increases in attributable healthcare costs from cancers and productivity losses from cardiovascular diseases.</p><p><strong>Conclusions: </strong>The substantial economic burden of diseases attributable to modifiable risk factors necessitates targeted policy interventions. Priority areas are reducing tobacco and alcohol consumption and improving dietary habits that together constitute half of the total attributable costs. Tailored interventions targeting specific age and sex groups are crucial; namely tobacco in middle-aged/older males and alcohol in younger males.</p>\",\"PeriodicalId\":9188,\"journal\":{\"name\":\"BMC Medicine\",\"volume\":\"22 1\",\"pages\":\"549\"},\"PeriodicalIF\":7.0000,\"publicationDate\":\"2024-11-21\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11580671/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"BMC Medicine\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1186/s12916-024-03772-7\",\"RegionNum\":1,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"MEDICINE, GENERAL & INTERNAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"BMC Medicine","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1186/s12916-024-03772-7","RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"MEDICINE, GENERAL & INTERNAL","Score":null,"Total":0}
Economic costs attributable to modifiable risk factors: an analysis of 24 million urban residents in China.
Background: Estimating the economic burden of modifiable risk factors is crucial for allocating scarce healthcare resources to improve population health. We quantified the economic burden attributable to modifiable risk factors in an urban area of China.
Methods: Our Shanghai Municipal Health Commission dataset covered 2.2 million inpatient admissions for adults (age ≥ 20) in public and private hospitals in 2015 (1,327,187 admissions) and 2020 (837,482 admissions). We used a prevalence-based cost-of-illness approach by applying population attributable fraction (PAF) estimates for each modifiable risk factor from the Global Burden of Diseases Study (GBD) to estimate attributable costs. We adopted a societal perspective for cost estimates, comprising direct healthcare costs and productivity losses from absenteeism and premature mortality. Future costs were discounted at 3% and adjusted to 2020 prices.
Results: In 2020, the total societal cost attributable to modifiable risk factors in Shanghai was US$7.9 billion (95% uncertainty interval [UI]: 4.6-12.4b), mostly from productivity losses (67.9%). Two health conditions constituted most of the attributable societal cost: cancer (51.6% [30.2-60.2]) and cardiovascular disease (31.2% [24.6-50.7]). Three modifiable risk factors accounted for half of the total attributable societal cost: tobacco (23.7% [16.4-30.5]), alcohol (13.3% [8.2-19.7]), and dietary risks (12.2% [7.5-17.7]). The economic burden varied by age and sex; most of the societal costs were from males (77.7%), primarily driven by their tobacco and alcohol use. The largest contributor to societal costs was alcohol for age 20-44, and tobacco for age 45 + . Despite the COVID-19 pandemic, the pattern of major modifiable risk factors remained stable from 2015 to 2020 albeit with notable increases in attributable healthcare costs from cancers and productivity losses from cardiovascular diseases.
Conclusions: The substantial economic burden of diseases attributable to modifiable risk factors necessitates targeted policy interventions. Priority areas are reducing tobacco and alcohol consumption and improving dietary habits that together constitute half of the total attributable costs. Tailored interventions targeting specific age and sex groups are crucial; namely tobacco in middle-aged/older males and alcohol in younger males.
期刊介绍:
BMC Medicine is an open access, transparent peer-reviewed general medical journal. It is the flagship journal of the BMC series and publishes outstanding and influential research in various areas including clinical practice, translational medicine, medical and health advances, public health, global health, policy, and general topics of interest to the biomedical and sociomedical professional communities. In addition to research articles, the journal also publishes stimulating debates, reviews, unique forum articles, and concise tutorials. All articles published in BMC Medicine are included in various databases such as Biological Abstracts, BIOSIS, CAS, Citebase, Current contents, DOAJ, Embase, MEDLINE, PubMed, Science Citation Index Expanded, OAIster, SCImago, Scopus, SOCOLAR, and Zetoc.