The prevalence and management of chronic pain in the Chinese population: findings from the China Pain Health Index (2020).

IF 3.2 2区 医学 Q2 PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH
Yingying Jiang, Tingling Xu, Fan Mao, Yu Miao, Botao Liu, Liyuan Xu, Lingni Li, Nikoletta Sternbach, Maigeng Zhou, Bifa Fan
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引用次数: 4

Abstract

Background: Chronic pain is a common disease; about 20% of people worldwide suffer from it. While compared with the research on the prevalence and management of chronic pain in developed countries, there is a relative lack of research in this field in China. This research aims to construct the China Pain Health Index (CPHI) to evaluate the current status of the prevalence and management of chronic pain in the Chinese population.

Methods: The dimensions and indicators of CPHI were determined through literature review, Delphi method, and analytical hierarchy process model, and the original values ​​of relevant indicators were obtained by collecting multi-source data. National and sub-provincial scores of CPHI (2020) were calculated by co-directional transformation, standardization, percentage transformation of the aggregate, and weighted summation.

Results: The highest CPHI score in 2020 is Beijing, and the lowest is Tibet. The top five provinces are Beijing (67.64 points), Shanghai (67.04 points), Zhejiang (65.74 points), Shandong (61.16 points), and Tianjin (59.99 points). The last five provinces are Tibet (33.10 points), Ningxia (37.24 points), Guizhou (39.85 points), Xinjiang (39.92 points), and Hainan (40.38 points). The prevalence of chronic pain is severe in Heilongjiang, Chongqing, Guizhou, Sichuan, and Fujian. Guizhou, Hainan, Xinjiang, Beijing, and Guangdong display a high burden of chronic pain. The five provinces of Guangdong, Shanghai, Beijing, Jiangsu, and Zhejiang have better treatment for chronic pain, while Tibet, Qinghai, Jilin, Ningxia, and Xinjiang have a lower quality of treatment. Beijing, Shanghai, Qinghai, Guangxi, and Hunan have relatively good development of chronic pain disciplines, while Tibet, Sichuan, Inner Mongolia, Hebei, and Guizhou are relatively poor.

Conclusion: The economically developed provinces in China have higher CPHI scores, while economically underdeveloped areas have lower scores. The current pain diagnosis and treatment situation in economically developed regions is relatively good, while that in financially underdeveloped areas is rather poor. According to the variations in the prevalence and management of chronic pain among populations in different provinces in China, it is necessary to implement chronic pain intervention measures adapted to local conditions.

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中国人群慢性疼痛的患病率和管理:来自中国疼痛健康指数(2020)的调查结果。
背景:慢性疼痛是一种常见病;全世界约有20%的人患有此病。而与发达国家对慢性疼痛的患病率和管理的研究相比,中国在这一领域的研究相对缺乏。本研究旨在构建中国疼痛健康指数(CPHI),以评估中国人群慢性疼痛的患病率和管理现状。方法:通过文献查阅、德尔菲法和层次分析法确定CPHI的维度和指标,并通过收集多源数据获得相关指标的原值。采用同向转换、标准化、总量百分比转换、加权求和等方法计算2020年全国和省以下地区CPHI得分。结果:2020年CPHI得分最高的是北京,最低的是西藏。排名前五的省份分别是北京(67.64分)、上海(67.04分)、浙江(65.74分)、山东(61.16分)和天津(59.99分)。后5个省份分别是西藏(33.10分)、宁夏(37.24分)、贵州(39.85分)、新疆(39.92分)、海南(40.38分)。慢性疼痛的患病率在黑龙江、重庆、贵州、四川和福建等地较为严重。贵州、海南、新疆、北京和广东的慢性疼痛负担较高。广东、上海、北京、江苏和浙江五省对慢性疼痛的治疗较好,而西藏、青海、吉林、宁夏和新疆的治疗质量较差。北京、上海、青海、广西、湖南等慢性疼痛学科发展相对较好,西藏、四川、内蒙古、河北、贵州等慢性疼痛学科发展相对较差。结论:中国经济发达省份的CPHI得分较高,经济不发达地区的CPHI得分较低。目前经济发达地区的疼痛诊疗情况比较好,而经济欠发达地区的疼痛诊疗情况比较差。根据中国不同省份人群慢性疼痛的患病率和管理差异,有必要实施因地制宜的慢性疼痛干预措施。
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来源期刊
Population Health Metrics
Population Health Metrics PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH-
CiteScore
6.50
自引率
0.00%
发文量
21
审稿时长
29 weeks
期刊介绍: Population Health Metrics aims to advance the science of population health assessment, and welcomes papers relating to concepts, methods, ethics, applications, and summary measures of population health. The journal provides a unique platform for population health researchers to share their findings with the global community. We seek research that addresses the communication of population health measures and policy implications to stakeholders; this includes papers related to burden estimation and risk assessment, and research addressing population health across the full range of development. Population Health Metrics covers a broad range of topics encompassing health state measurement and valuation, summary measures of population health, descriptive epidemiology at the population level, burden of disease and injury analysis, disease and risk factor modeling for populations, and comparative assessment of risks to health at the population level. The journal is also interested in how to use and communicate indicators of population health to reduce disease burden, and the approaches for translating from indicators of population health to health-advancing actions. As a cross-cutting topic of importance, we are particularly interested in inequalities in population health and their measurement.
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