User perceptions of COVID-19 telemedicine testing services, disease risk, and pandemic preparedness: findings from a private clinic in Hong Kong.

INTRODUCTION: During the coronavirus disease 2019 (COVID-19) pandemic, telemedicine has been regarded as a method for providing safe access to healthcare. Here, we explored the experiences of individuals using telemedicine in Hong Kong during the COVID-19 pandemic to understand their risk perceptions and preparedness measures. METHODS: We conducted a cross-sectional online survey of telemedicine users of private clinic-based COVID-19 testing services from 6 April to 11 May 2020. All users were invited to complete an anonymous online survey regarding COVID-19 risk perception and preparedness measures. The results of the survey were compared with the findings of a previous territory-wide survey. RESULTS: In total, 141 of 187 telemedicine users agreed to participate; the response rate was 75.4%. Of the participants, 95.1% (116/122) believed that telemedicine consultations were useful. Nearly half of the participants (49.0%) agreed or strongly agreed that telemedicine consultations were appropriate during the COVID-19 pandemic. Most participants believed that telemedicine consultations could perform the functions of 'health protection, promotion and disease prevention' (73.6%) and 'diagnosis' (64.0%). Concerning the choice of telemedicine provider, almost all participants (99.2%) were willing to consult medical doctors; more than half of the participants (54.1%) were willing to consult registered nurses, but only 13.1% were willing to consult non-clinical staff who had been trained to provide telemedicine services. CONCLUSION: The use of telemedicine for screening and patient education can be encouraged during the COVID-19 pandemic in Hong Kong.

Scientific evidence on natural disasters and health emergency and disaster risk management in Asian rural-based area.

INTRODUCTION: Disaster epidemiological studies indicate that Asia has the highest frequency of natural disasters. Rural communities are heavily impacted by natural disasters and have different healthcare needs to urban ones. Referencing Asian countries, this paper's objective is to provide an overview of health impacts and the current evidence for designing programmes and policies related to rural health emergency and disaster risk management (health-EDRM). SOURCES OF DATA: This paper uses published English-only reports and papers retrieved from PubMed, Google Scholar, Embase, Medline and PsycINFO on rural disaster and emergency responses and relief, health impact and disease patterns in Asia (January 2000-January 2018). AREAS OF AGREEMENT: Earthquakes are the most studied natural disasters in rural communities. The medical burden and health needs of rural communities were most commonly reported among populations of extreme age. Most of the existing research evidence for rural interventions was reported in China. There lacks published peer-reviewed reports of programme impacts on personal and community preparedness. AREAS OF CONTROVERSY: There is a lack of evidence-based health-EDRM interventions to evaluate implementation effectiveness in rural areas despite vast volumes of health-related disaster literature. GROWING POINTS: Climate change-related disasters are increasing in frequency and severity. Evidence is needed for disaster risk reduction interventions to address the health risks specific to rural populations. AREAS TIMELY FOR DEVELOPING RESEARCH: To support global policy development, urgent evidence is needed on the intervention effectiveness, long-term health outcomes, local and cultural relevance as well as sustainability of health relief produced by Health-EDRM programmes in rural areas.

A meta-analysis on dose-response relationship between night shift work and the risk of breast cancer.

This study aimed to conduct a systematic review to sum up evidence of the associations between different aspects of night shift work and female breast cancer using a dose-response meta-analysis approach. We systematicly searched all cohort and case-control studies published in English on MEDLINE, Embase, PSYCInfo, APC Journal Club and Global Health, from January 1971 to May 2013. We extracted effect measures (relative risk, RR; odd ratio, OR; or hazard ratio, HR) from individual studies to generate pooled results using meta-analysis approaches. A log-linear dose-response regression model was used to evaluate the relationship between various indicators of exposure to night shift work and breast cancer risk. Downs and Black scale was applied to assess the methodological quality of included studies. Ten studies were included in the meta-analysis. A pooled adjusted relative risk for the association between 'ever exposed to night shift work' and breast cancer was 1.19 [95% confidence interval (CI) 1.05-1.35]. Further meta-analyses on dose-response relationship showed that every 5-year increase of exposure to night shift work would correspondingly enhance the risk of breast cancer of the female by 3% (pooled RR = 1.03, 95% CI 1.01-1.05; Pheterogeneity < 0.001). Our meta-analysis also suggested that an increase in 500-night shifts would result in a 13% (RR = 1.13, 95% CI 1.07-1.21; Pheterogeneity = 0.06) increase in breast cancer risk. This systematic review updated the evidence that a positive dose-response relationship is likely to present for breast cancer with increasing years of employment and cumulative shifts involved in the work.

Literature review of health impact post-earthquakes in China 1906-2007.

BACKGROUND: Over the last 100 years, China has experienced the world's three most fatal earthquakes. The Sichuan Earthquake in May 2008 once again reminded us of the huge human toll geological disaster can lead to. METHODS: In order to learn lessons about the impact of earthquakes on health in China during the past century, we conducted a bilingual literature search of the publicly available health-related disaster databases published between 1906 and 2007. RESULTS: Our search found that research was limited and there were major gaps in the published literature about the impact on health in the post-earthquake period. However, the experiences recorded were similar to those of other parts of the world. The available studies provide useful information about preparedness and rapid early response. Gaps identified included care of chronic disease. CONCLUSION: Our literature review highlights the paucity of literature on the impact on health post-earthquake in China between 1906 and 2007. Disaster mitigation policies need to reflect the needs not only of the disaster-related impacts on health but also of the ongoing health needs of the chronically ill and to establish safeguards for the well-being of the vulnerable populations.

Medical interventions following natural disasters: missing out on chronic medical needs.

Although natural disasters may cause massive loss of human life and destruction of resources, they also present affected populations with a rare opportunity to access external resources. Nevertheless, many post-disaster medical relief intervention programmes only focus on the provision of acute medical services and the control of communicable diseases. Currently, no specific study has examined why chronic medical needs seem to be insufficiently addressed in disaster relief interventions. This paper review current knowledge about how natural disasters affect people with chronic medical needs, assess possible factors in disaster preparedness and response that pre-empt addressing chronic medical needs and suggest possible ways to overcome these barriers. Unawareness and insensitivity of relief workers towards chronic medical conditions, the practice of risk rather than need-based assessments, a focus on acute needs, the lack of reliable indicators and baseline information, and the multidimensional characteristics of chronic medical problems all pose serious challenges and probably deter the government and post-disaster relief agencies to deal with diseases of a chronic nature. It is important to increase the awareness and sensitivity of the stakeholders towards chronic medical problems during all phases of planning and intervention. Relevant assessment tools should be developed to rapidly identify chronic medical needs in resource deficit settings. Community partnership and collaboration that promote local ownership and technical transfer of chronic disease management skills will be essential for the sustainability of services beyond the disaster relief period. Potential programmes might include the technical training of local staff, establishment of essential drug and supply lists, and the provision of a range of medical services that may address chronic health needs.

Meta-analysis on night shift work and risk of metabolic syndrome.

This study aims to quantitatively summarize the association between night shift work and the risk of metabolic syndrome (MetS), with special reference to the dose-response relationship with years of night shift work. We systematically searched all observational studies published in English on PubMed and Embase from 1971 to 2013. We extracted effect measures (relative risk, RR; or odd ratio, OR) with 95% confidence interval (CI) from individual studies to generate pooled results using meta-analysis approach. Pooled RR was calculated using random- or fixed-effect model. Downs and Black scale was applied to assess the methodological quality of included studies. A total of 13 studies were included. The pooled RR for the association between 'ever exposed to night shift work' and MetS risk was 1.57 (95% CI = 1.24-1.98, pheterogeneity = 0.001), while a higher risk was indicated in workers with longer exposure to night shifts (RR = 1.77, 95% CI = 1.32-2.36, pheterogeneity = 0.936). Further stratification analysis demonstrated a higher pooled effect of 1.84 (95% CI = 1.45-2.34) for studies using the NCEP-ATPIII criteria, among female workers (RR = 1.61, 95% CI = 1.10-2.34) and the countries other than Asia (RR = 1.65, 95% CI = 1.39-1.95). Sensitivity analysis confirmed the robustness of the results. No evidence of publication bias was detected. The present meta-analysis suggested that night shift work is significantly associated with the risk of MetS, and a positive dose-response relationship with duration of exposure was indicated.