The Impact of Internet Medical Information Overflow on Residents' Medical Expenditure Based on China's Observations

Does internet use benefit health?-PSM-DID evidence from China's CHARLS

Amid the increasing global internet penetration, understanding the impact of internet use on residents' health is crucial. This aids in formulating more effective health policies and provides empirical evidence for promoting health equity and improving overall public health. Drawing on the China Health and Retirement Longitudinal Study (CHARLS), this paper employs the Propensity Score Matching-Difference in Differences (PSM-DID) method to examine the impact of the internet on individual health and further explores the pathways through which the internet affects health. We introduce the research background and significance in the introduction. Then, in the theoretical analysis, it incorporates internet variables into the Becker health demand model to analyze changes in health demand and impact pathways. The empirical analysis tests the theoretical findings, leading to empirical results. Finally, the study discusses the results and provides relevant recommendations. The findings indicate significant positive effects of the internet on both physical and psychological health. These effects are realized through reducing health information asymmetry, lowering health costs, and increasing exposure to health-promoting environments. In the heterogeneity analysis, economic-related internet content shows a significant positive impact on resident health. Intensive internet use adversely affects psychological health. The beneficial effects of the internet on health are more pronounced among older individuals, those covered by medical insurance, and regions with higher levels of digital economy. Based on these findings, the study offers policy recommendations concerning individuals' internet use patterns, the digital evolution of the healthcare industry, and government infrastructure development.

Factors Associated with Telemedicine Services Provision for Sexually Transmitted Disease Diagnosis and Treatment Among Dermatologists: Evidence from China

BACKGROUND

Telemedicine has experienced rapid growth in China, with wide applications for chronic disease management.

OBJECTIVE

This study examined a unique survey dataset to identify the provision of telemedicine services by dermatologists, and to explore its association with physician characteristics, perception of diagnosis, and physicians' perceptions of the advantages and disadvantages of telemedicine.

MATERIALS AND METHODS

Responses to an anonymous voluntary questionnaire were collected from 238 dermatologists in Zhejiang Province, China, via a mixed mode of online and in-person data collection. Data were analyzed using Stata 16.0. Empirical analyses utilized descriptive statistics and multivariable logistical regression.

RESULTS

Among a total of 238 physicians, 34.9% provided telemedicine services. Results from the multivariable logistic regression indicated that, if physicians can use their spare time to help patients, seniority and their perception of the benefit of telemedicine are the two most important factors determining their likelihood of providing telemedicine services among the studied sample.

CONCLUSION

Telemedicine holds great promise, but its practices need to be more efficient to save time and reduce the risk of misdiagnosis so that more physicians may participate.

The Effects of Information-Seeking Behaviors on Risk Perception During the COVID-19 Pandemic: A Cross-Sectional Correlational Survey

Background

The COVID-19 pandemic caused by the novel SARS-CoV-2 virus represents an ongoing public health challenge that necessitates a heightened need to understand people's risk perceptions as well as their information-seeking behavior.

Objective

The aim of this study is to explore the impact of different information-seeking behaviors on people's risk perceptions during the COVID-19 pandemic.

Methods

We employed convenience sampling in order to administer questionnaires to 3048 residents in Hunan Province, China. After screening the questionnaires for inclusion in the study, multiple linear regressions were then used to analyze the impact of the characteristics of respondents' information-seeking behavior on their risk perceptions.

Results

From the 3048 distributed 2611 were included. New media (80.20%) was the most frequently used source of information seeking, and traditional media were participants' most trusted source of COVID-19 information. Statistics of COVID-19 were the type of information most frequently queried by respondents, and approximately 30.0% of them reported that most or all of the COVID-19 information they sought was negative. Approximately one in five respondents reported that they sought COVID-19 information more than 10 times per day. The results of our multivariate linear regression analysis showed that "seeking information from new media ", "level of trust in new media and local propaganda", "information content being about protective behaviors and personal related information", "proportion of negative information", and "frequency of information seeking" were positively associated, and "seeking information from traditional media" and "level of trust in traditional media" were negatively associated with people's risk perception of COVID-19.

Conclusion

We find that specific types of channels of information acquisition and public trust in these information channels, their informational content, and proportion of negative information, as well as a frequency of information seeking all had an impact on risk perception during COVID-19.

Does Internet Use Affect Medical Decisions among Older Adults in China? Evidence from CHARLS

Background: The rapid growth of the elderly population poses a huge challenge for people to access medical services. The key to get rid of the dilemma is for patients to go firstly to primary medical institutions. Existing studies have identified numerous factors that can affect patients’ health institution choice. However, we currently know little about the role of Internet use in the patients’ medical decisions. The objective of this study is to explore health-seeking behavior and institution choice under the background of the Internet era from the perspective of older adults, and to analyze whether the Internet could guide patients to the appropriate medical institution so as to accomplish hierarchical treatment. Methods: The dataset comprises 9416 people aged 45 or above from the China Health and Retirement Longitudinal Survey (CHARLS), which, through multistage cluster sampling, was conducted in 2011, 2013, and 2015. Logistic regression, PSM, and FE model are used to estimate the influence of Internet use on the health care decision-making behavior. Results: Internet use has a significant positive impact on the self-treatment of common diseases (β = 0.05, p < 0.05). In terms of medical institution choices, those who use Internet are more inclined to choose top-level hospitals than community health service institutions to treat common diseases (β = 0.06, p < 0.01). Conclusions: The Internet has lowered the obstacles to learning about common ailments, resulting in a substitution impact of self-treatment for hospital care. However, Internet use may aggravate older adults’ perception of the risk of disease, which exacerbates the tendency of going to higher-level medical institutions for medical treatment. The finding of the study is useful for further rational planning and utilization of the Internet in order to guide patients to appropriate medical institution, which helps to improve the efficiency of the overall medical and health services.