Effect of Health Literacy on Antiviral Treatment of Hepatitis B: Instrumental Variable Analysis.

IF 3.5 2区 医学 Q1 PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH JMIR Public Health and Surveillance Pub Date : 2024-12-16 DOI:10.2196/58391
Hanchao Cheng, Shiyang Liu, Zhitao Wang, Qiyou Wu, Xin Wang, Polin Chan, Zhongdan Chen, Simon Luo, Yinghua Li, Jing Sun
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Abstract

Background: China is a country with a high burden of hepatitis B (Hep B) but a low treatment rate. One of the key reasons for the low treatment rate is the inadequate health literacy (HL) of the people, which may affect the awareness and knowledge of Hep B and its treatment, as well as the ability to actively and correctly seek medical resources.

Objective: This study analyzed how HL contributed to the scale-up of antiviral treatment of Hep B in China. We expect that the findings of this study could be used to inform resource allocation for health education and other approaches intending to improve the HL of the Chinese population, thus facilitating the nationwide scale-up of Hep B treatment and contributing to the achievement of the 2030 goal of eliminating viral hepatitis as a major public health threat in China.

Methods: We used the two-stage least squares regression method and adopted the mobile phone penetration rate as the instrumental variable to estimate the effect of improved HL on the number of 12-month standard Hep B antiviral treatments in China based on the panel data of 31 provinces from 2013 to 2020.

Results: In the cross-sectional dimension, the higher the HL, the higher the number of treatments in the provinces in a specific year. In the time series dimension, the number of treatments in a specific province increased with the improvement of HL over time. After controlling the time-invariant inherent attributes of provinces, the instrumental variable estimation with two-stage least squares regression based on the province fixed effect model found that for every 1% increase of HL in each province, the number of treatments increased by 7.15% (0.0715 = e0.0691 - 1; P<.001). Such an increase turned to 5.19% (0.0519 = e0.0506 - 1; P<.001) for the analysis targeting the observation time from 2013 to 2019, as the data of 2020 were removed when the COVID-19 pandemic started. The study found no statistically significant effect of HL on the number of Hep B treatments in the provinces with higher newly reported Hep B incidence and lower gross domestic product per capita.

Conclusions: Our findings suggest that improved HL of the population is an important favorable facilitator for the scale-up of Hep B treatment in China. Building awareness and knowledge of Hep B and its treatment can help individuals understand their health status, ensuring a healthier lifestyle and appropriate health care-seeking behaviors and health care service utilization, so that people can be diagnosed and treated timely and appropriately. Enhancing resource allocation to improve the overall HL of the population and sending Hep B-specific messages to the infected people would be a feasible and effective approach to scale-up the treatment of Hep B in low- and middle-income settings with limited resources, and contribute to achieving the 2030 global goal of eliminating viral hepatitis as a major public health threat.

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健康素养对乙型肝炎抗病毒治疗的影响:工具变量分析。
背景:中国是乙型肝炎(Hep B)负担高但治愈率低的国家。治疗率低的关键原因之一是民众的健康素养(health literacy, HL)不足,这可能会影响人们对乙肝及其治疗的认识和知识,以及积极、正确地寻求医疗资源的能力。目的:本研究分析HL在中国扩大乙肝抗病毒治疗中的作用。我们希望这项研究的结果可以用于为健康教育和其他旨在改善中国人群HL的方法提供资源分配信息,从而促进全国范围内扩大乙肝治疗,并有助于实现在2030年消除病毒性肝炎这一中国主要公共卫生威胁的目标。方法:基于2013 - 2020年中国31个省份的面板数据,采用两阶段最小二乘回归方法,以手机普及率为工具变量,估计改良型HL对中国12个月乙肝标准抗病毒治疗次数的影响。结果:在横截面维度上,HL越高,各省在特定年份的治疗次数越多。在时间序列维度上,随着时间的推移,特定省份的治疗数量随着HL的改善而增加。在控制各省的时不变固有属性后,基于各省固定效应模型的两阶段最小二乘回归工具变量估计发现,各省HL每增加1%,处理次数增加7.15% (0.0715 = e0.0691 - 1;结论:我们的研究结果表明,人群中HL的改善是中国扩大乙肝治疗规模的重要有利因素。提高对乙肝及其治疗的认识和知识,可以帮助个人了解自己的健康状况,确保更健康的生活方式、适当的就医行为和卫生保健服务的利用,从而及时、适当地诊断和治疗患者。加强资源分配,以改善人口的总体HL发病率,并向感染者发送乙型肝炎特异性信息,将是在资源有限的中低收入环境中扩大乙型肝炎治疗的可行和有效方法,并有助于实现2030年消除病毒性肝炎这一主要公共卫生威胁的全球目标。
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来源期刊
CiteScore
13.70
自引率
2.40%
发文量
136
审稿时长
12 weeks
期刊介绍: JMIR Public Health & Surveillance (JPHS) is a renowned scholarly journal indexed on PubMed. It follows a rigorous peer-review process and covers a wide range of disciplines. The journal distinguishes itself by its unique focus on the intersection of technology and innovation in the field of public health. JPHS delves into diverse topics such as public health informatics, surveillance systems, rapid reports, participatory epidemiology, infodemiology, infoveillance, digital disease detection, digital epidemiology, electronic public health interventions, mass media and social media campaigns, health communication, and emerging population health analysis systems and tools.
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