Covid-19 and the Epigenetics of Learning

Abstract Covid-19 is a natural phenomenon that has rapidly upended much of the cultural infrastructure of societies across the globe. Education, which in recent years increasingly tied itself to notions of global culture and markets, is deeply threatened by these changes to the natural environment. This paper makes the case that the relationship between nature and culture in education requires a deep level analysis of the biological and physical substrate of human learning. Only with a sufficiently fundamental level of analysis can society reorganise its systems of learning and scientific inquiry to this rapidly changing environment. Drawing on evolutionary biology, we argue that institutional and individual structures and processes are recapitulations of evolutionary cellular development. Understanding the impact of Covid-19 on cells presents an invitation to consider the larger-scale cultural recapitulations of similar mechanisms and structures, and this has implications for the ways education might most effectively deploy technology. Whilst universities seek to maintain their existing structures, practices and business models, a cellular evolutionary approach points to the necessity for fundamental rethinking of intellectual life and learning. We consider the parameters of effective educational organisation in a post-Covid-19 world. As the richness and variety of the physical campus is removed, viable educational relationships will necessitate deeper intellectual connections and personal inquiries than are currently permitted in the transactional processes of education.</jats:p

Remote Monitoring Technologies in Dementia Care: An Interpretative Phenomenological Analysis of Family Caregivers’ Experiences

The desire to maintain an independent lifestyle is one shared by an increasing number of older adults. Adult children, spouses, siblings, and other relatives, also known as family caregivers, play an integral role in helping their loved ones maintain independence. Remote monitoring technologies (RMTs) such as wearable sensors, mobile emergency devices, smartphone apps, and webcams can be used to monitor, sense, record, and communicate a person’s daily activities. However, understanding is limited of the family caregiver’s needs and perceptions of RMTs used in a home-based setting. The purpose was to explore how family caregivers perceive RMTs and their use for monitoring and supporting their care recipients who choose to live independently. We used a survey to capture some basic characteristics of family caregivers, what they know about RMTs, and to recruit interview participants. We conducted semi-structured interviews with four participants who shared the commonality of caring for a relative with dementia. We reported the survey data using descriptive statistics and we applied interpretative phenomenological analysis (IPA) to analyze and report results from the interviews. Four themes emerged including the unique relationships that exist in family care, the risk-benefit conundrum that accompanies benefits and tradeoffs of RMT use, human-technology interaction and usability, and the importance of creating tailored solutions to facilitate RMT adoption and use. Our findings provide insight into factors impacting adoption and use

Online medical consultation in China: Evidence from obesity doctors

ObjectiveOnline medical consultation (OMC) is increasingly used in China, but there have been few in-depth studies of consultation arrangements and fee structures of online doctors in China. This research assessed the consultation arrangements and fee structure of OMC in China by undertaking a case study of obesity doctors from four representative OMC platforms.MethodsDetailed information, including fees, waiting time and doctor information, was collected from four obesity OMC platforms and analyzed using descriptive statistical analysis.ResultsThe obesity OMC platforms in China shared similarities in the use of big data and artificial intelligence (AI) but differed across service access, specific consultation arrangements and fees. Big data search and AI response technologies were used by most platforms to match users with doctors and reduce doctors' pressure. The descriptive statistical analysis showed that the higher the rank of the online doctor, the higher the online fee and the longer the wait time. Through a comparison with offline hospitals, we found online doctors' fees exceeded offline hospital doctors' fees by up to 90%.ConclusionsOMC platforms can gain competitive advantages over offline medical institutions through the following measures: make fuller use of big data and AI technologies to provide users with longer duration, lower cost and more efficient consultation services; provide better user experience than offline medical institutions; use big data and fee advantages to screen doctors to match users' consultation needs instead of screening by the rank of doctors only; and cooperate with commercial insurance providers to provide innovative health care packages

Regional catastrophic health expenditure and health inequality in China.

BackgroundCatastrophic health expenditures (CHE) can trigger illness-caused poverty and compound poverty-caused illness. Our study is the first regional comparative study to analyze CHE trends and health inequality in eastern, central and western China, exploring the differences and disparities across regions to make targeted health policy recommendations.MethodsUsing data from China's Household Panel Study (CFPS), we selected Shanghai, Henan and Gansu as representative eastern-central-western regional provinces to construct a unique 5-year CHE unbalanced panel dataset. CHE incidence was measured by calculating headcount; CHE intensity was measured by overshoot and CHE inequality was estimated by concentration curves (CC) and the concentration index (CI). A random effect model was employed to analyze the impact of household head socio-economic characteristics, the household socio-economic characteristics and household health utilization on CHE incidence across the three regions.ResultsThe study found that the incidence and intensity of CHE decreased, but the degree of CHE inequality increased, across all three regions. For all regions, the trend of inequality first decreased and then increased. We also revealed significant differences across the eastern, central and western regions of China in CHE incidence, intensity, inequality and regional differences in the CHE influencing factors. Affected by factors such as the gap between the rich and the poor and the uneven distribution of medical resources, families in the eastern region who were unmarried, use supplementary medical insurance, and had members receiving outpatient treatment were more likely to experience CHE. Families with chronic diseases in the central and western regions were more likely to suffer CHE, and rural families in the western region were more likely to experience CHE.ConclusionsThe trends and causes of CHE varied across the different regions, which requires a further tilt of medical resources to the central and western regions; improved prevention and financial support for chronic diseases households; and reform of the insurance reimbursement policy of outpatient medical insurance. On a regional basis, health policy should not only address CHE incidence and intensity, but also its inequality

Preferences for End-of-Life Care Among Patients With Terminal Cancer in China

IMPORTANCE: In China, little is known about end-of-life (EOL) care preferences of patients with terminal cancer. Understanding these patients’ treatment preferences is needed to improve patient-centered health care, better inform surrogates and medical staff about patient preferences, and enhance the quality of EOL care. OBJECTIVE: To examine preferences for EOL care among patients with terminal cancer in China. DESIGN, SETTING, AND PARTICIPANTS: In this survey study, patients older than 50 years who had terminal cancer were randomly selected from medical records at a single hospital in China. Data on patients’ EOL care preferences were collected by discrete choice experiment (DCE) from August to November 2018 and were analyzed from October 2020 to March 2021. MAIN OUTCOMES AND MEASURES: The main outcome was patient preferences in EOL care, derived using a mixed logit model. Each DCE scenario described 6 attributes: hospitalization days, life extension, quality of life, adverse treatment events, place-of-death preference, and out-of-pocket costs. The marginal willingness to pay (WTP) in US dollars was estimated from regression coefficients. RESULTS: Of 188 patients selected for the survey, 183 participated (97.3%). Among the respondents, the mean [SD] age was 61 [8.4] years, and 128 (69.8%) were male. Patients’ preferences for moderate increase in survival time, better quality of life, death at home, and lower out-of-pocket costs were significantly associated with their choices between treatment models. Extending life by 10 months (vs 4 months: β, 1.63; 95% CI, 0.81-2.44) and a better quality of life (very good vs poor: β, 1.79; 95% CI, 0.96-2.62) were the most important attributes to patients. The uptake rate for a treatment scenario increased by 61.6% when the quality of life improved from poor to very good, and when life extension increased from 4 months to 10, the uptake rate increased by 57.2%. The uptake increased by 12.5% when the place of death changed from hospital to home. However, it decreased by 31.4% when the costs increased to $21 174. The study found a WTP of$38 854 (95% CI, $19 468-$95 096) to improve quality of life from a poor to a very good level, substantially higher than the WTP for a life extension of 6 months ($35 308; 95$17 745-$80 279) or 1 year ($27 572; 95% CI, $16 389-$58 027) compared with the baseline scenario of a 4-month extension. Patients were willing to pay $8860 (95$621-$26 474) to die at home rather than in a hospital. CONCLUSIONS AND RELEVANCE: The findings suggest that in addition to extending life moderately for patients with terminal cancer, improving quality of life during EOL care and supporting home deaths may deserve greater attention. The findings also suggest that physicians and surrogates should ask about patients’ care preferences and better inform them of their choices to improve EOL care outcomes

Coping with COVID: Performance of China's hierarchical medical system during the COVID-19 pandemic

ObjectiveThe COVID-19 pandemic has challenged the health system worldwide. This study aimed to assess how China's hierarchical medical system (HMS) coped with COVID-19 in the short-and medium-term. We mainly measured the number and distribution of hospital visits and healthcare expenditure between primary and high-level hospitals during Beijing's 2020-2021 pandemic relative to the 2017-2019 pre-COVID-19 benchmark period.MethodsHospital operational data were extracted from Municipal Health Statistics Information Platform. The COVID-19 period in Beijing was divided into five phases, corresponding to different characteristics, from January 2020 to October 2021. The main outcome measures in this study include the percentage change in inpatient and outpatient emergency visits, and surgeries, and changing distribution of patients between different hospital levels across Beijing's HMS. In addition, the corresponding health expenditure in each of the 5 phases of COVID-19 was also included.ResultsIn the outbreak phase of the pandemic, the total visits of Beijing hospitals declined dramatically, where outpatient visits fell 44.6%, inpatients visits fell 47.9%; emergency visits fell 35.6%, and surgery inpatients fell 44.5%. Correspondingly, health expenditures declined 30.5% for outpatients and 43.0% for inpatients. The primary hospitals absorbed a 9.51% higher proportion of outpatients than the pre-COVID-19 level in phase 1. In phase 4, the number of patients, including non-local outpatients reached pre-pandemic 2017-2019 benchmark levels. The proportion of outpatients in primary hospitals was only 1.74% above pre-COVID-19 levels in phases 4 and 5. Health expenditure for both outpatients and inpatients reached the baseline level in phase 3 and increased nearly 10% above pre-COVID-19 levels in phases 4 and 5.ConclusionThe HMS in Beijing coped with the COVID-19 pandemic in a relatively short time, the early stage of the pandemic reflected an enhanced role for primary hospitals in the HMS, but did not permanently change patient preferences for high-level hospitals. Relative to the pre-COVID-19 benchmark, the elevated hospital expenditure in phase 4 and phase 5 pointed to hospital over-treatment or patient excess treatment demand. We suggest improving the service capacity of primary hospitals and changing the preferences of patients through health education in the post-COVID-19 world