Cheng Hanchao, Liu Shiyang, Wang Zhitao, Wu Qiyou, Wang Xin, Chan Polin, Chen Zhongdan, Luo Simon, Li Yinghua, Sun Jing
School of Health Policy and Management, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Medical School of Chinese People's Liberation Army, The Fifth Medical Center of People's Liberation Army General Hospital, Beijing, China.
JMIR Public Health Surveill. 2024 Dec 16;10:e58391. doi: 10.2196/58391.
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.
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.
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.
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.
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.
中国是乙肝负担沉重但治疗率较低的国家。治疗率低的关键原因之一是民众的健康素养不足,这可能影响对乙肝及其治疗的认知和了解,以及积极正确寻求医疗资源的能力。
本研究分析了健康素养如何促进中国乙肝抗病毒治疗的扩大。我们期望本研究结果可用于为健康教育及其他旨在提高中国民众健康素养的方法提供资源分配依据,从而推动乙肝治疗在全国范围内的扩大,并有助于实现到2030年在中国消除病毒性肝炎这一重大公共卫生威胁的目标。
我们使用两阶段最小二乘回归方法,并采用手机普及率作为工具变量,基于2013年至2020年31个省份的面板数据,估计改善健康素养对中国12个月标准乙肝抗病毒治疗人数的影响。
在横截面维度上,特定年份中,健康素养越高的省份治疗人数越多。在时间序列维度上,特定省份的治疗人数随健康素养的提高而增加。在控制省份的时间不变固有属性后,基于省份固定效应模型的两阶段最小二乘回归的工具变量估计发现,每个省份的健康素养每提高1%,治疗人数增加7.15%(0.0715 = e0.0691 - 1;P <.001)。对于以2013年至2019年观察时间为目标的分析,这一增幅变为5.19%(0.0519 = e0.0506 - 1;P <.001),因为在新冠疫情开始时去除了2020年的数据。该研究发现,在新报告乙肝发病率较高且人均国内生产总值较低的省份,健康素养对乙肝治疗人数没有统计学上的显著影响。
我们的研究结果表明,民众健康素养的提高是中国扩大乙肝治疗的重要有利促进因素。建立对乙肝及其治疗的认知和了解有助于个人了解自身健康状况,确保更健康的生活方式以及适当的就医行为和医疗服务利用,从而使人们能够及时得到恰当的诊断和治疗。在资源有限的中低收入环境中,增加资源分配以提高民众整体健康素养并向感染者传递特定的乙肝信息,将是扩大乙肝治疗的可行且有效方法,并有助于实现到2030年消除病毒性肝炎这一重大公共卫生威胁的全球目标。