Background Although patient accessible electronic health records (PAEHRs) offer great potential in enhancing the provision of patient-centered care and improving satisfaction, the adoption rate is still low. Currently, few studies are there for researchers and health organization leaders to understand patients’ thoughts and related factors of PAEHRs adoption in developing countries. China adopted more limited practices of PAEHRs, among which we selected Yuebei People's Hospital as an example. Objective The study aimed to research patient attitudes toward PAEHRs use and the associated factors of patients’ adoption of PAEHRs in China, which is achieved by both qualitative and quantitative studies. Methods This study employed sequential mixed-methods. The DeLone & McLean information systems (D&M IS) success model, Unified Theory of Acceptance and Use of Technology (UTAUT) and task-technology fit (TTF) model were used to guide the research. Finally, we collected 28 valid in-depth interview responses, 51 valid semi-structured interview responses and 235 valid questionnaire responses. The research model was tested and validated using data collected. Results The findings of the qualitative study reveal that patients’ rate perceived task productivity and customer satisfaction as benefits, and poor-quality information as flaws. Results of the quantitative study show that the drivers of behavioral intention are performance expectance, effort expectancy and social influence; the predictors of use behavior are TTF and behavioral intention. Conclusion It is necessary to consider PAEHRs’ task-tool role in patients’ adoption behavior. Hospitalized patients value PAEHRs’ practical attributes and attach much importance to the information content and application design.

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A simple scheme based on the uniform distribution for the placement of numerous laser beams in the context of fiber-based laser fusion is proposed. It is theoretically demonstrated that all modes of the geometrical factor can be eliminated if sufficient laser beams are uniformly distributed on the sphere. In the case of a finite number of laser beams, a quasi-uniform distribution of beams can be achieved based on the equal area subdivision algorithm. Numerical simulations indicate that with the increasing number of laser beams, the order of the dominant geometrical mode increases, and the irradiation nonuniformity decreases accordingly.

BACKGROUND Since the early 1970s, health care provision has experienced rapid growth in the investment and adoption of health information technologies (HITs). However, the development and deployment of HITs has often been conducted in silos, at different organizational levels, within different regions, and in various health care settings; this has resulted in their infrastructures often being difficult to manage or integrate. Health information standards (ie, the set norms and requirements that underpin the deployment of HITs in health care settings) are expected to address these issues, yet their adoption remains to be frustratingly low among health care information technology vendors. OBJECTIVE This study aimed to synthesize a comprehensive framework of factors that affect the adoption and deployment of health information standards by health care organizations. METHODS First, electronic databases, including Web of Science, Scopus, and PubMed, were searched for relevant articles, with the results being exported to the EndNote reference management software. Second, study selection was conducted according to pre-established inclusion and exclusion criteria. Finally, a synthesized best fit framework was created, which integrated a thematic analysis of the included articles. RESULTS In total, 35 records were incorporated into the synthesized framework, with 4 dimensions being identified: technology, organization, environment, and interorganizational relationships. The technology dimension included relative advantage, complexity, compatibility, trialability, observability, switching cost, standards uncertainty, and shared business process attributes. The organization dimension included organizational scale, organizational culture, staff resistance to change, staff training, top management support, and organizational readiness. The environment dimension included external pressure, external support, network externality, installed base, and information communication. Finally, the interorganizational relationships dimension included partner trust, partner dependence, relationship commitment, and partner power. CONCLUSIONS The synthesized framework presented in this paper extends the current understanding of the factors that influence the adoption of health information standards in health care organizations. It provides policy and decision makers with a greater awareness of factors that hinder or facilitate their adoption, enabling better judgement and development of adoption intervention strategies. Furthermore, suggestions for future research are provided.

BACKGROUND The application of gamification and serious games in health attracts much scholarly attention in the last decade. However, we still lack a comprehensive understanding of contributions of gamification and serious games to the growth of scientific research in the health domain. OBJECTIVE The purpose of this study is to obtain insights into the current state and future directions of gamification and serious games in health by analyzing the related academic literature. METHODS This study collected papers related to gamification in health published in the last 10 years from Web of Science Core Collection database. Analyzing tools of CiteSpace and VOSviewer were used to investigate the literature characteristics, including publications growth, related journal and disciplines, author collaboration, as well as impact articles and research trends. RESULTS A total of 1611 bibliographic records on gamification in health were included. Publications increased considerably with 45.9% at an annual compound average growth rate. Studies of gamification in health were conducted with multiple disciplines of knowledge from various journals. Some stable authors' collaboration is formed up. Five impactful papers are selected to reflect the research evolution. The research trends of the area are gamification in rehabilitation, medical education, mobile health, physical activity and mental health. CONCLUSIONS Research of gamification in health is promising and drives towards meaningful healthcare practice and medical education. This study might provide potential implications for future research of gamification in health.

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UNSTRUCTURED The urban-rural disparities in health outcomes in China is remarkable. The Internet has shown the potential to reduce the risk of disease. However, very little known on the effects of Internet use in alleviating urban-rural inequities. This study aims to examine mediation and moderation of health disparities between urban and rural old adults through Internet usage. Data were drawn from the China Health and Retirement Longitudinal Study 2018 dataset. Basic activities of daily living, brief Community Screening Instrument for Dementia and Centre for Epidemiologic Studies Depression Scale were used to measure functional disability, cognitive function and depressive symptoms, respectively. Logistic regressions testing “Internet usage*urban-rural status” interactions for moderation and Karlson–Holm–Breen (KHB) decomposition for mediation were performed. Internet use moderated the urban-rural disparities in cognitive function (OR=7.327, 95%CI: 3.011 to 17.832) and depressive symptoms (OR=1.070, 95%CI: 1.037 to 1.787), but the moderating effects were significant only for those using the Internet daily. KHB results showed the suppression effects of using the Internet daily (β=0.012, 95%CI: 0.002 to 0.021) existed in the association of urban-rural status with cognitive function. Part of the urban-rural disparity in depressive symptoms is attributed to the differences in Internet usage (β=-0.027, 95%CI: -0.043 to -0.009). The effect of urban-rural status on mental health among the elderly is moderated and mediated by Internet usage in China. Providing convenient channels for the rural elderly to use the Internet and promoting Internet popularity in rural areas are effective approaches to reducing urban-rural health inequalities.

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