The determinants of access to information on the Internet and knowledge of health related topics in European countries

Does digital infrastructure improve public Health? A quasi-natural experiment based on China's Broadband policy

This study proposed a scheme for improving people's health from the perspective of digital infrastructure construction. We used the China Family Panel Studies conducted between 2010 and 2020 and the digital infrastructure construction marked by the Broadband China policy between 2014 and 2016 as a quasi-natural experiment. We adopted the multi-time difference-in-differences method to identify the causal relationship between digital infrastructure and people's health. We found that digital infrastructure construction significantly improved people's health, and the effect was more prominent among young and middle-aged residents and those with less than a university education. Moreover, digital infrastructure construction improved the utilization of medical services, helped residents develop healthy lifestyles, and increased people's health investments. Additionally, digital infrastructure reduced health inequality among people and promoted health equity. The findings could guide future policies to improve people's health and well-being.

Health literacy interventions among patients with chronic diseases: A meta-analysis of randomized controlled trials

OBJECTIVES

This study was conducted to determine the effectiveness and impact of health literacy interventions for patients with chronic diseases.

METHODS

We searched PubMed, Web of Science, Embase, Scopus, and EBSCO CINAHL from inception through March 2022. Eligible chronic diseases include diabetes, heart disease, cancer, and chronic obstructive pulmonary disease. RCTs were included in eligible studies to assess health literacy and other relevant health outcomes. Two investigators selected studies, extracted data, and assessed the methodological quality of included studies independently.

RESULTS

A total of 18 studies involving 5384 participants were included in the final analysis. The implementation of health literacy interventions exhibited a significant improvement in the health literacy level of individuals diagnosed with chronic diseases (SMD = 0.75, 95% CI = 0.40-1.10). Analysis of heterogeneity sources indicated statistically significant variations in the effects of interventions across different diseases and age groups (P < 0.05). However, no significant impact was observed on patients with chronic obstructive pulmonary disease (COPD), interventions with a follow-up duration exceeding three months, or application-based interventions on the health literacy level of individuals with chronic diseases. Remarkably, our findings revealed that health literacy interventions exerted a positive influence on health status (SMD = 0.74, 95% CI = 0.13-1.34), depression and anxiety (SMD = 0.90, 95% CI = 0.17-1.63), as well as self-efficacy (SMD = 0.28, 95% CI = 0.15-0.41) among patients diagnosed with chronic diseases. Furthermore, a specific analysis was conducted to evaluate the effects of these interventions on hypertension and diabetes control. The results demonstrated that health literacy interventions were more effective in enhancing hypertension control compared to diabetes control.

CONCLUSION

Health literacy interventions have demonstrated effectiveness in improving the health of patients with chronic diseases. The importance of emphasizing the quality of these interventions cannot be overstated, as factors such as appropriate intervention tools, extended intervention duration, and reliable primary care services play crucial roles in their efficacy.

The potential of eHealth for cancer patients-does COVID-19 pandemic change the attitude towards use of telemedicine services?

BACKGROUND

Internet penetration worldwide has increased rapidly over the recent years. With this growth, modern information and communication technologies (ICT) have become increasingly important. They do not only change daily life but also patient-physician interaction and health related information search, which can be summarized as electronic Health (eHealth). eHealth was already known before the emergence of the coronavirus disease 2019 (COVID-19), but this pandemic substantially challenged health systems, physicians and hospitals so profoundly that new services and methods of patient-physician interaction had to be implemented rapidly. This study investigates the attitude of cancer patients towards eHealth and the potential impact of COVID-19 on its use.

METHODS AND FINDINGS

The study was a multicentered study carried out at the university hospitals Bonn and Aachen. Patients were asked to answer a structured questionnaire in the time span between September 2019 and February 2021. Due to the COVID-19 pandemic, no patients were addressed between March 2020 and July 2020. The questionnaire focused on socio-demographic data, the dissemination of internet-enabled devices, the patients' attitude towards eHealth and the use of modern ICT in daily life and for health-related information search. In total, 280 patients have filled the questionnaire of which 48% were female and 52% were male. Men have a slightly more positive attitude towards the overall potential of eHealth than women which was shown by a significant influence for receiving medical information via e-mail. Hematological-oncological patients with a higher education level reported a significantly higher willingness to send personal health information to their physician and health insurance. A frequency of medical consultation of more than 5 times during the previous year has a significantly positive impact regarding the use of online communication, online video consultation and treatment quality. Younger patients have more concerns about data security than older patients. The study shows a different attitude towards the influence of eHealth on the patient-physician relationship in different therapy situations. While there were no significant changes in patients' attitude towards eHealth after the start of the COVID-19 pandemic, there was a trend towards an increasingly embracing attitude in patients, who answered the questionnaire during COVID-19 pandemic situation.

CONCLUSIONS

Overall, cancer patients had a positive attitude towards eHealth and the dissemination of internet-enabled devices was high. The study shows that the potential of eHealth is high among hematological-oncological patients. Further eHealth technologies and especially telemedically supported care processes should be implemented to improve patient-physician interaction and cross-sectoral care. COVID-19 pandemic led to a fast initiation and acceleration of new structures and routines for physicians, hospitals and patients. These new processes should be used to promote digitalization in hematological and oncological telemedicine. To successfully implement new eHealth technologies, future research should focus on patients' concerns about data privacy and data availability especially in the context of exchange of medical information in cross sectoral and interdisciplinary care processes.

The temperature of internet: Internet use and depression of the elderly in China

Introduction

Depression has become one of the most prevalent mental illnesses affecting the elderly in aging countries, i. e., in countries of the world whose population is slowly aging. It has become an important topic for scientists and policymakers to analyze how best to improve the elderly's mental health and save them from depression. The aim of this paper was to investigate whether and to what extent internet use may affect depression in the elderly. The heterogeneous effects of internet use on the elderly's depression across age, gender, and occupation were also investigated.

Methods

The data used in the present study were gathered from the China Health and Retirement Longitudinal Study that was conducted in 2018. The propensity score matching technique and the endogenous switch regression model were employed in this study to address potential endogeneity caused by both observed and unobserved factors.

Results

The results of the present study show that the elderly who are relatively young, male, well educated, live in an urban area, or have a small family are more likely to use the internet. The elderly who have healthy eyes or good eyesight, those who are not employed in the agricultural sector, or those who are retired, and those who are not eligible to receive any subsistence allowance or drink wine have a higher probability of using the internet. We also find that internet use significantly reduces the elderly's depression status by 3.370 points, which is roughly equivalent to a reduction of 37.19%. Heterogeneity analysis on internet use reveals that the health effect is particularly effective for agricultural workers, female, or the older elderly.

Conclusion

The results of the present study highlight the significant welfare effects brought about by the development of internet infrastructure. To improve the mental health of the elderly, the government should encourage them to adopt the internet. In particular, the needs of the elderly who are older, female, or have agricultural work should be paid more attention to motivate them to use the internet more to alleviate depression.

Making Mobile Health Information Advice Persuasive

As M-Health apps become more popular, users can access more mobile health information (MHI) through these platforms. Yet one preeminent question among both researchers and practitioners is how to bridge the gap between simply providing MHI and persuading users to buy into the MHI for health self-management. To solve this challenge, this study extends the Elaboration Likelihood Model to explore how to make MHI advice persuasive by identifying the important central and peripheral cues of MHI under individual difference. The proposed research model was validated through a survey. The results confirm that (1) both information matching and platform credibility, as central and peripheral cues, respectively, have significant positive effects on attitudes toward MHI, but only information matching could directly affect health behavior changes; (2) health concern significantly moderates the link between information matching and cognitive attitude and only marginally moderates the link between platform credibility and attitudes. Theoretical and practical implications are also discussed.

From health education to digital health literacy - building on the past to shape the future

Health education has continuously evolved and taken several distinctive forms over the decades. The emergence of new concepts such as health promotion and health literacy have helped to shape and refine our understanding of how the purpose, content and methods of health education can adapt with to new public health methods and priorities. Viewing health education through the lens of health literacy has been particularly helpful in differentiating between traditional task-focused health education, and skills-focused health education designed to develop more generic, transferable skills. The advent of digital media has enabled unprecedented access to health information but brought with it new challenges. Managing the volume of available information, and assessing its quality and reliability have become essential digital health literacy skills in the information age. As health educators we need to continue to adapt our practices to these new opportunities and understand the challenges that come with them.

Understanding and Responding to Health Literacy as a Social Determinant of Health

Evidence of a social gradient in health literacy has been found in all reported national population surveys. Health literacy is a midstream determinant of health but not a panacea for addressing health inequities created by the maldistribution of opportunity and resources. It is possible to optimize the contribution health literacy makes in mediating the causes and effects of established social determinants of health. Existing interventions demonstrate the feasibility of improving health literacy among higher-risk populations, but research remains underdeveloped and effects on health inequity are largely untested. Future health literacy intervention research should focus on (a) improving the quality of health communication that reaches a diversity of populations, especially by improving frontline professional skills and support; (b) enabling people to develop transferable skills in accessing, understanding, analyzing, and applying health information; and (c) ensuring that priority is proportionate to need by reaching and engaging the population groups who are disproportionately affected by low health literacy.

Recent quantitative research on determinants of health in high income countries: A scoping review

BACKGROUND

Identifying determinants of health and understanding their role in health production constitutes an important research theme. We aimed to document the state of recent multi-country research on this theme in the literature.

METHODS

We followed the PRISMA-ScR guidelines to systematically identify, triage and review literature (January 2013-July 2019). We searched for studies that performed cross-national statistical analyses aiming to evaluate the impact of one or more aggregate level determinants on one or more general population health outcomes in high-income countries. To assess in which combinations and to what extent individual (or thematically linked) determinants had been studied together, we performed multidimensional scaling and cluster analysis.

RESULTS

Sixty studies were selected, out of an original yield of 3686. Life-expectancy and overall mortality were the most widely used population health indicators, while determinants came from the areas of healthcare, culture, politics, socio-economics, environment, labor, fertility, demographics, life-style, and psychology. The family of regression models was the predominant statistical approach. Results from our multidimensional scaling showed that a relatively tight core of determinants have received much attention, as main covariates of interest or controls, whereas the majority of other determinants were studied in very limited contexts. We consider findings from these studies regarding the importance of any given health determinant inconclusive at present. Across a multitude of model specifications, different country samples, and varying time periods, effects fluctuated between statistically significant and not significant, and between beneficial and detrimental to health.

CONCLUSIONS

We conclude that efforts to understand the underlying mechanisms of population health are far from settled, and the present state of research on the topic leaves much to be desired. It is essential that future research considers multiple factors simultaneously and takes advantage of more sophisticated methodology with regards to quantifying health as well as analyzing determinants' influence.

Does Internet Use Affect Individuals’ Medical Service Satisfaction? Evidence from China

Empirical evidence that combines traditional factors and information technology factors to predict public attitudes toward to medical services is inadequate. To fill this gap, this study investigates the impact of Internet use on people’s satisfaction with medical services by employing the Chinese Social Survey for 2013, 2015 and 2017 (including 28,239 samples in total). Estimation results under the ordered probit reveal that Internet use is negatively correlated with individuals’ medical services satisfaction. The results support the negativity bias theory, namely, compared with positive information, netizens pay more attention to negative medical-related information on the Internet. The results are still reliable by adopting substitution variable methods, subdividing the samples, employing other estimation methods and carrying out placebo tests to conduct robustness checks. This study further enriches the literature on public attitudes toward medical services and provides additional policy implications for medical risk management in the digital era.

PharmActa: Empowering Patients to Avoid Clinical Significant Drug⁻Herb Interactions

Herbal medicinal products (HMPs) are the subject of increasing interest regarding their benefits for health. However, a serious concern is the potential appearance of clinically significant drug⁻herb interactions in patients. This work provides an overview of drug⁻herb interactions and an evaluation of their clinical significance. We discuss how personalized health services and mobile health applications can utilize tools that provide essential information to patients to avoid drug⁻HMP interactions. There is a specific mention to PharmActa, a dedicated mobile app for personalized pharmaceutical care with information regarding drug⁻HMPs interactions. Several studies over the years have shown that for some HMPs, the potential to present clinically significant interactions is evident, especially for many of the top selling HMPs. Towards that, PharmActa presents how we can improve the way that information regarding potential drug⁻herb interactions can be disseminated to the public. The utilization of technologies focusing on medical information and context awareness introduce a new era in healthcare. The exploitation of eHealth tools and pervasive mobile monitoring technologies in the case of HMPs will allow the citizens to be informed and avoid potential drug⁻HMPs interactions enhancing the effectiveness and ensuring safety for HMPs.