Factors associated with burnout among frontline nurses in the post-COVID-19 epidemic era: a multicenter cross-sectional study.

BACKGROUND: The COVID-19 pandemic has significantly increased the risk of burnout among frontline nurses. However, the prevalence of burnout and its associated factors in the post-pandemic era remain unclear. This research aims to investigate burnout prevalence among frontline nurses in the post-pandemic period and pinpoint associated determinants in China. METHODS: From April to July 2023, a cross-sectional study was carried out across multiple centers, focusing on frontline nurses who had been actively involved in the COVID-19 pandemic. The data collection was done via an online platform. The Maslach Burnout Inventory-Human Services Survey was utilized to evaluate symptoms of burnout. A multivariable logistic regression analysis was used to pinpoint factors associated with burnout. RESULTS: Of the 2210 frontline nurses who participated, 75.38% scored over the cut-off for burnout. Multivariable logistic regression revealed that factors like being female [odds ratio (OR) = 0.41, 95%CI = 0.29-0.58] and exercising 1-2 times weekly[OR = 0.53, 95%CI = 0.42-0.67] were protective factors against burnout. Conversely, having 10 or more night shifts per month[OR = 1.99, 95%CI = 1.39-2.84], holding a master's degree or higher[OR = 2.86, 95% CI = 1.59-5.15], poor health status[OR = 2.43, 95% CI = 1.93-3.08] and [OR = 2.82, 95%CI = 1.80-4.43], under virus infection[OR = 7.12, 95%CI = 2.10-24.17], and elevated work-related stress[OR = 1.53, 95% CI = 1.17-2.00] were all associated with an elevated risk of burnout. CONCLUSION: Our findings indicate that post-pandemic burnout among frontline nurses is influenced by several factors, including gender, monthly night shift frequency, academic qualifications, weekly exercise frequency, health condition, and viral infection history. These insights can inform interventions aimed at safeguarding the mental well-being of frontline nurses in the post-pandemic period.

Bedtime procrastination related to loneliness among Chinese university students during post-pandemic period: a moderated chain mediation model.

BACKGROUND: This study examined the relationship between loneliness and bedtime procrastination among Chinese university students, the mediating effects of COVID-19 risk perception and self-regulatory fatigue, and connectedness to nature's protective role, post pandemic. METHODS: We recruited 855 students to complete the Loneliness, Perceived Risk of COVID-19 Pandemic, Self-Regulatory Fatigue, Bedtime Procrastination, and Connectedness to Nature Scales. Data for descriptive statistics, correlation analysis, and moderated chain mediation effects were analyzed using SPSS 24.0 and process 3.5 macros. RESULTS: Loneliness positively correlated with bedtime procrastination, COVID-19 risk perception mediated the impact of loneliness on bedtime procrastination, self-regulatory fatigue mediated the effect of loneliness on bedtime procrastination, and COVID-19 risk perception and self-regulatory fatigue mediated the effect between loneliness and bedtime procrastination. Furthermore, connectedness to nature mediated the impact of COVID-19 risk perception on self-regulatory fatigue. CONCLUSIONS: The results indicate the effects and potential mechanisms of loneliness on bedtime procrastination after the relaxation of the pandemic prevention and control policy in China from the perspective of self-regulatory resources and provide insights into improving university students' sleep routine and mental health post pandemic.

Telemedicine in the Post-Pandemic Period: Understanding Patterns of Use and the Influence of Socioeconomic Demographics, Health Status, and Social Determinants.

Introduction: The rapid expansion of telemedicine during the COVID-19 pandemic has transformed health care delivery. However, it remains unclear whether telemedicine utilization is equitable across different demographic groups and whether the high levels of adoption during the pandemic have persisted in the post-pandemic period. This study investigates telemedicine use and patterns of use in the initial phases of the post-pandemic period and explores the impact of socioeconomic factors, social determinants of health, and patients' health-related factors on telemedicine utilization. Methods: This study analyzes data from the Health Information National Trends Survey (HINTS) 6, comprising responses from 6,046 U.S. adults collected between March and November 2022. Results: Of 6,046 HINTS respondents, 39.3% (2,517 individuals) reported using telemedicine in the past year. Among telemedicine users, 18.5% used video visits, 12.08% used telephone-based telecare, and 8.72% used both. The main reasons for telehealth visits were minor illnesses (29.67%), chronic condition management (21.4%), annual visits (18.82%), mental and behavioral health concerns (15.72%), and medical emergencies (1.58%). Among non-users, only 17% (578 individuals) were offered telehealth visits, with privacy concerns (16.43%), preference for in-person consultation (84.42%), and difficulty using telemedicine technology (18.96%) being the main reasons for non-use. Logistic regression analysis revealed significant associations of social determinants, socioeconomic demographics, and health factors with telemedicine utilization. Women had a higher likelihood of using telemedicine (odds ratio [OR] = 1.39, 95% confidence interval [CI] = 1.09-1.78). Older adults showed lower inclination toward telemedicine. Married individuals were more likely to use telemedicine (OR = 1.35, 95% CI = 1.06-1.72), while Whites (OR = 1.52, 95% CI = 1.04-2.22) and Hispanics (OR = 1.80, 95% CI = 1.17-2.75) had higher odds of utilizing telemedicine compared with non-Hispanic African Americans. Lack of reliable transportation (OR = 1.29, 95% CI = 1.01-1.66), frequent provider visits (OR = 1.37, 95% CI = 1.28-1.46), a higher number of chronic conditions (OR = 1.39, 95% CI = 1.22-1.57), and residences in metropolitan locations were also associated with increased telemedicine usage. Greater satisfaction with internet connectivity positively influenced telemedicine utilization. Conclusions: This study highlights the continued preference for in-person visits among U.S. adults in the early post-pandemic period, despite the widespread use of telemedicine. Addressing barriers such as limited access, privacy concerns, technological difficulties, and demographic disparities is crucial for achieving equitable utilization of telemedicine.

Comprehensive Review of COVID-19: Epidemiology, Pathogenesis, Advancement in Diagnostic and Detection Techniques, and Post-Pandemic Treatment Strategies.

At present, COVID-19 remains a public health concern due to the ongoing evolution of SARS-CoV-2 and its prevalence in particular countries. This paper provides an updated overview of the epidemiology and pathogenesis of COVID-19, with a focus on the emergence of SARS-CoV-2 variants and the phenomenon known as 'long COVID'. Meanwhile, diagnostic and detection advances will be mentioned. Though many inventions have been made to combat the COVID-19 pandemic, some outstanding ones include multiplex RT-PCR, which can be used for accurate diagnosis of SARS-CoV-2 infection. ELISA-based antigen tests also appear to be potential diagnostic tools to be available in the future. This paper also discusses current treatments, vaccination strategies, as well as emerging cell-based therapies for SARS-CoV-2 infection. The ongoing evolution of SARS-CoV-2 underscores the necessity for us to continuously update scientific understanding and treatments for it.

O2 Saturation Predicted the ICU Stay of COVID-19 Patients in a Hospital at Altitude: A Low-Cost Tool for Post-Pandemic.

Background and Objectives: Patients at high altitudes with COVID-19 may experience a decrease in their partial oxygen saturation (PO2S) levels. The objective was to assess the association between PO2S and intensive care unit (ICU) stay in patients at high altitudes with COVID-19. Materials and Methods: Clinical records of 69 COVID-19 patients (36% women) admitted to the ICU were analyzed. Median values were considered for intra-group categories ("≤11 days" and ">11 days" in the ICU) and for PO2S height categories ("<90%" and "≥90%"). Logistic regression and linear regression models adjusted for confounding variables were used. Results: Patients with >11 days in the ICU had 84% lower odds of having a PO2S ≥ 90% (OR: 0.16 [CI: 0.02, 0.69], p = 0.005) compared to those with ≤11 days in the ICU. An increase in PO2S by 1% reduced ICU stay by 0.22 days (ß: -0.22 [CI: -0.33, -0.11], p < 0.001), potentially leading to a reduction of up to 1.44 days. Conclusions: PO2S is a crucial factor in estimating ICU stays for COVID-19 patients at high altitudes and serves as an accessible and cost-effective measure. It should be used in infected patients to complement the prognosis of post-pandemic ICU stay.

Comparison of first-year nursing students' GAD-7 scores: a pilot study focusing on Generation Z.

BACKGROUND: In a post-pandemic landscape, Generation Z (Gen Z) nursing students are increasingly facing mental health challenges, notably anxiety. This study investigated these challenges among first-year nursing students. AIMS: The primary objective was to assess self-reported anxiety levels in first-year undergraduate nursing students, focusing on Gen Z, before or at the onset of their initial clinical placement post-pandemic. METHODS: Employing a cross-sectional design, this study used the Generalized Anxiety Disorder-7 (GAD-7) questionnaire to evaluate anxiety levels. It encompassed first-year nursing students from various fields at a university in North East England, considering generational differences, field of nursing, and demographic variables. FINDINGS: Results indicated anxiety levels among generational groups, with Gen Z students exhibiting extreme variations. Notably, students in Mental Health Nursing reported less anxiety than their counterparts in other nursing fields. The study also sheds light on the ramifications of the COVID-19 pandemic on student mental health. CONCLUSIONS: The study underscores the necessity for bespoke support systems in educational and clinical environments, particularly for Gen Z students. It advocates for comprehensive strategies in universities and clinical settings to nurture nursing students' emotional health, thereby enhancing their resilience and long-term career prospects.

[The mental health of Russians in "post-pandemic": the empirical studies review].

The article presents review of empirical social medical and sociological studies of mental health of Russians in "post-pandemic" (2022 - first half of 2023). The purpose of the study is to generalize results of corresponding studies. The review covers the articles in national scientific journals indexed in the RSCI, the results of monitoring surveys carried out by both all-Russian research organizations handling analysis of public opinion and by Federal research and educational organizations. The criteria of selection of studies included the study field stage was implemented in January 2022 - June 2023; sociological survey technique was applied; the study object was whole population of the Russian Federation or its subject or a separate social group. it was established, on the basis of all-Russian and regional data, that in mentioned period public mental health of residents of Russia is characterized by wave dynamics. The increasing of anxiety level in beginning of March and in the end of September 2022. The level of depressive symptomatic prevalence still exceeded "pre-pandemic" values. The increased level of anxiety is more typical in the youth and women. The vulnerable groups are also residents of territories bordering on zone of special military operation, members of families of combatants and Ukraine refugees. In conditions of law demand of population for psychological psychiatric care the issue of searching alternative tools of psychological safety of Russian citizen is actualized.

The effects of the pandemic on mental health in persons with and without a psychiatric history.

BACKGROUND: Prospective studies are needed to assess the influence of pre-pandemic risk factors on mental health outcomes following the COVID-19 pandemic. From direct interviews prior to (T1), and then in the same individuals after the pandemic onset (T2), we assessed the influence of personal psychiatric history on changes in symptoms and wellbeing. METHODS: Two hundred and four (19-69 years/117 female) individuals from a multigenerational family study were followed clinically up to T1. Psychiatric symptom changes (T1-to-T2), their association with lifetime psychiatric history (no, only-past, and recent psychiatric history), and pandemic-specific worries were investigated. RESULTS: At T2 relative to T1, participants with recent psychopathology (in the last 2 years) had significantly fewer depressive (mean, M = 41.7 v. 47.6) and traumatic symptoms (M = 6.6 v. 8.1, p < 0.001), while those with no and only-past psychiatric history had decreased wellbeing (M = 22.6 v. 25.0, p < 0.01). Three pandemic-related worry factors were identified: Illness/death, Financial, and Social isolation. Individuals with recent psychiatric history had greater Illness/death and Financial worries than the no/only-past groups, but these worries were unrelated to depression at T2. Among individuals with no/only-past history, Illness/death worries predicted increased T2 depression [B = 0.6(0.3), p < 0.05]. CONCLUSIONS: As recent psychiatric history was not associated with increased depression or anxiety during the pandemic, new groups of previously unaffected persons might contribute to the increased pandemic-related depression and anxiety rates reported. These individuals likely represent incident cases that are first detected in primary care and other non-specialty clinical settings. Such settings may be useful for monitoring future illness among newly at-risk individuals.

Impact of the COVID-19 Pandemic On Violence Against Children: A Narrative Review.

PURPOSE OF REVIEW: The goal of this paper was to explore the different ways the COVID-19 pandemic has affected violence against children (VAC). RECENT FINDINGS: Recent research of peer-reviewed articles using operational or survey data revealed the pandemic's impact in terms of institutional responses, risk and mediating factors, changes in VAC dynamics, and a likely increase in child marriage. Findings include a decrease in institutional responses, activities, and prevention case openings; an increased incidence of interparental intimate partner violence (IPV) witnessing cases, hospital admissions for suspected Abusive Head Trauma (AHT), other pediatric injuries, and sexual violence; a change in family conflict dynamics; and an estimated increase in child marriages. It also revealed mediating factors between the relationship of the pandemic and VAC (such as parental stress and mental health symptoms), as well as risk factors observed by service providers, which include the risk of mental health symptoms of both parents and children. Post-pandemic VAC research can be improved by utilizing operational or survey data in a meaningful way to be able to derive sound intervention approaches to diminish the pandemic's impact on VAC and child marriage. We also propose for researchers to integrate child marriage into the definition of VAC.

Redefining work-life balance: women at the helm of the post-pandemic coworking revolution.

The post-pandemic era has transformed work-life boundaries, driven by factors such as working hours, an increased number of working women and single parents, the implementation of various ICTs, and the rise of flexible work arrangements. This study examines the role of female workers and entrepreneurs in establishing and managing coworking spaces (CSs) designed to improve work-life balance through flexible scheduling and location options. The challenges faced by female entrepreneurs in promoting an inclusive society and economic system are also explored, as well as the benefits experienced by independent workers and teleworkers in terms of networking, social interaction, knowledge exchange, and community building. The "She Economy" is analyzed in three stages: germination, growth, and maturity, considering challenges from both family and workplaces. This paper investigates the background of female identity and the ideological transformation of female identity in the consumption process after the pandemic, using mass media, especially female-focused media, as a lens. Finally, the paper proposes recommendations for the future development of the "She Economy" from the perspectives of communicators, women, and the social environment.

Development and validation of the Post-Pandemic Fear of Viral Disease scale and its relationship with general anxiety disorder: a cross-sectional survey from Pakistan.

BACKGROUND: Given the worldwide reach of COVID-19, media coverage has amplified the psychological and social effects of this pandemic causing a widespread fear. Despite substantial research on the short-term psychological impact of COVID-19, its long-term consequences on mental health remain relatively unexplored. This research aims to develop and validate a Post-Pandemic Fear of Viral Disease (PPFVD) scale and to see its relationship with general anxiety disorder among the Pakistani population. METHODS: A cross-sectional online-based survey was conducted with 457 respondents in August and September 2022. We adopted the modified fear of coronavirus scale (FCV-19 S) consisting of seven items and the Generalized Anxiety Disorder (GAD) questionnaire to measure anxiety disorder. Confirmatory factor analysis was applied using the maximum likelihood estimation method. Scale dimensions and item reliability were tested for their validity and goodness of fit. SPSS and AMOS were used for data management and analyses. RESULTS: All inter-item correlations were found to be significant and ranged between 0.30 and 0.70. The value of Cronbach's alpha was 0.887, indicating good reliability. Corrected item-total correlations ranged between 0.632 and 0.754. Factor loadings ranged from 0.664 to 0.810, indicating a good internal consistency. Overall, these results clearly demonstrate that the one-factor solution model for PPFVD presents a good fit to the data. The composite reliability (CR = 0.747) was also good. CONCLUSIONS: The COVID-19 pandemic has negatively affected the mental health of people globally. This measurement scale can be trusted and used to test the PPFVD in the post-pandemic situation. Prospective research might validate this instrument in newly emerging scenarios and test it with diverse ethnic groups.

Unmasking the COVID-19 pandemic prevention gains: excess mortality reversal in 2022.

OBJECTIVES: The purpose of this study was to assess the long-term effectiveness of COVID-19 pandemic prevention measures in saving lives after European governments began to lift restrictions. STUDY DESIGN: Excess mortality interrupted time series. METHODS: Country-level weekly data on deaths were fitted to the Poisson mixed linear model to estimate excess deaths. Based on this estimate, the percentage of excess deaths above the baseline during the pandemic (week 11 in 2020 to week 15 in 2022) (when public health interventions were in place) and during the post-pandemic period (week 16 in 2022 to week 52 in 2022) were calculated. These results were fitted to the linear regression model to determine any potential relationship between mortality during these two periods. RESULTS: The model used in this study had high predictive value (adjusted R2 = 59.4%). Mortality during the endemic (post-pandemic) period alone increased by 7.2% (95% confidence interval [CI]: 5.7, 8.6) above baseline, while each percentage increase in mortality during the pandemic corresponded to a 0.357% reduction (95% CI: 0.243, 0.471) in mortality during the post-pandemic period. CONCLUSIONS: The most successful countries in terms of protective measures also experienced the highest mortality rates after restrictions were lifted. The model used in this study clearly shows a measure of bidirectional mortality displacement that is sufficiently clear to mask any impact of long COVID on overall mortality. Results from this study also seriously impact previous cost-benefit analyses of pandemic prevention measures, since, according to the current model, 12.2% (95% CI: 8.3, 16.1) of the gains achieved in pandemic containment were lost after restrictions were lifted.

Moving forward the Italian nursing education into the post-pandemic era: findings from a national qualitative research study.

BACKGROUND: During the CoronaVIrus-19 (COVID-19) pandemic, nursing education has been dramatically transformed and shaped according to the restrictions imposed by national rules. Restoring educational activities as delivered in the pre-pandemic era without making a critical evaluation of the transformations implemented, may sacrifice the extraordinary learning opportunity that this event has offered. The aim of this study was to identify a set of recommendations that can guide the Italian nursing education to move forward in the post-pandemic era. METHODS: A qualitative descriptive design was undertaken in 2022-2023 and reported here according to the COnsolidated criteria for REporting Qualitative research guidelines. A network was established of nine Italian universities offering a bachelor's degree in nursing for a total of 6135 students. A purposeful sample of 37 Faculty Members, 28 Clinical Nurse Educators and 65 Students/new graduates were involved. A data collection was conducted with a form including open-ended questions concerning which transformations in nursing education had been implemented during the pandemic, which of these should be maintained and valued, and what recommendations should address the transition of nursing education in the post-pandemic era. RESULTS: Nine main recommendations embodying 18 specific recommendations have emerged, all transversally influenced by the role of the digital transformation, as a complementary and strengthening strategy for face-to-face teaching. The findings also suggest the need to rethink clinical rotations and their supervision models, to refocus the clinical learning aims, to pay attention towards the student community and its social needs, and to define a pandemic educational plan to be ready for unexpected, but possible, future events. CONCLUSIONS: A multidimensional set of recommendations emerged, shaping a strategic map of action, where the main message is the need to rethink the whole nursing education, where digitalization is embodied. Preparing and moving nursing education forward by following the emerged recommendations may promote common standards of education and create the basis on for how to deal with future pandemic/catastrophic events by making ready and prepared the educational systems.

Recent Advancements and Challenges of AIoT Application in Smart Agriculture: A Review.

As the most popular technologies of the 21st century, artificial intelligence (AI) and the internet of things (IoT) are the most effective paradigms that have played a vital role in transforming the agricultural industry during the pandemic. The convergence of AI and IoT has sparked a recent wave of interest in artificial intelligence of things (AIoT). An IoT system provides data flow to AI techniques for data integration and interpretation as well as for the performance of automatic image analysis and data prediction. The adoption of AIoT technology significantly transforms the traditional agriculture scenario by addressing numerous challenges, including pest management and post-harvest management issues. Although AIoT is an essential driving force for smart agriculture, there are still some barriers that must be overcome. In this paper, a systematic literature review of AIoT is presented to highlight the current progress, its applications, and its advantages. The AIoT concept, from smart devices in IoT systems to the adoption of AI techniques, is discussed. The increasing trend in article publication regarding to AIoT topics is presented based on a database search process. Lastly, the challenges to the adoption of AIoT technology in modern agriculture are also discussed.

What can bring transit ridership back: An econometric study on the potential of usage incentives and operational policies in the Greater Toronto Area.

The COVID-19 virus has unimaginably disrupted the transit system and its overall functions. Users' vigilant safety concerns posed by the pandemic and the consequent transit avoidance behaviour for a prolonged period could have lasting impacts on their transit preferences, leaving transit agencies to search for effective post-pandemic transit resilience policies. This study examines potential post-pandemic interventions and pandemic-induced psychological attributes impacting the future transit choice behaviour of non-transit users of the pandemic. It utilised data from a transit demand and choice adaptation survey in the Greater Toronto Area, Canada. A two-stage model was formulated to jointly capture the pre-pandemic transit usage choices of those who did not make transit trips during the pandemic and the respective post-pandemic transit choices for these user groups. The models depicted that the post-pandemic transit choices were inversely affected by one's pandemic concerns. In contrast, the choices were positively influenced by respondents' views on post-pandemic transit usage and keeping the adopted safety policies in place. Regarding the conventional level of service attributes, paid park and ride facilities enhanced the probability of post-pandemic transit choice almost by 15% for occasional users. In comparison, the changes due to reliable service ranged from 10 to 11% for pre-pandemic users. Analogous propensity was seen for fare schemes offering free transfers between cross borders and 25% or more off-peak discounts on base fares. Moreover, more direct transit routes and increased parking costs by vehicular modes post the pandemic encourage travellers to retake transit.

Modelling Electricity Consumption During the COVID19 Pandemic: Datasets, Models, Results and a Research Agenda.

The COVID19 pandemic has impacted the global economy, social activities, and Electricity Consumption (EC), affecting the performance of historical data-based Electricity Load Forecasting (ELF) algorithms. This study thoroughly analyses the pandemic's impact on these models and develop a hybrid model with better prediction accuracy using COVID19 data. Existing datasets are reviewed, and their limited generalization potential for the COVID19 period is highlighted. A dataset of 96 residential customers, comprising 36 and six months before and after the pandemic, is collected, posing significant challenges for current models. The proposed model employs convolutional layers for feature extraction, gated recurrent nets for temporal feature learning, and a self-attention module for feature selection, leading to better generalization for predicting EC patterns. Our proposed model outperforms existing models, as demonstrated by a detailed ablation study using our dataset. For instance, it achieves an average reduction of 0.56% & 3.46% in MSE, 1.5% & 5.07% in RMSE, and 11.81% & 13.19% in MAPE over the pre- and post-pandemic data, respectively. However, further research is required to address the varied nature of the data. These findings have significant implications for improving ELF algorithms during pandemics and other significant events that disrupt historical data patterns.

Post-COVID-19 distress and unhealthy behavior.

BACKGROUND: COVID-19 is one of the most devastating pandemics in history. It is important to understand post-COVID-19 mental health issues and unhealthy behaviors. AIMS: Investigate whether and how distress levels and unhealthy behaviors might differ across population segments after the end of a nationwide COVID-19 outbreak. METHODS: Using random sampling, this large-scale study analyzed post-COVID-19 distress and unhealthy behaviors of individuals in Wuhan vs. Beijing in China (which were differentially impacted by the pandemic). RESULTS: Higher percentages of individuals residing in Wuhan (vs. Beijing) experienced moderate or severe post-COVID-19 distress. Higher percentages of men (vs. women) experienced moderate distress. Larger percentages of people with (vs. without) children experienced a severe level of distress. Post-COVID-19, higher percentages of people decreased (vs. increased) smoking and drinking, but the opposite was true for unhealthy snacking. Importantly, higher post-COVID-19 distress predicted higher consumption in all three unhealthy domains. Men (vs. women) were more likely to increase smoking and drinking; younger individuals were more likely to increase drinking and unhealthy snacking. CONCLUSIONS: Some population segments were disproportionately susceptible to post-COVID-19 distress and unhealthy behaviors. Post-pandemic policies and interventions are needed to help people, especially the most vulnerable, improve their mental health and physical well-being.

[Hospice Palliative Care Communications in Long-Term Care Facilities in the Post-Pandemic Era: The Role of Nurses].

The high infectivity, severity, and mortality of COVID-19 led to the devastating impact this disease has had on people's lives during the pandemic. The related strict infection controls and restrictions affected how palliative and end-of-life care could be discussed with clients and how family members could deal with their grief afterward. However, the provision of concise and accurate information by healthcare providers was found to help ease anxiety and fear during the COVID-19 pandemic. In the post-pandemic era, nurses should actively facilitate, support, advocate for, and coordinate palliative care communications with long-term care facility residents. Thus, the Understanding, Respect, Planning, Expression, Act, Care, and Education (U-R-PEACE) communication strategy is introduced and suggested in this article for this purpose. Palliative care communications should be commenced by nurses as early as possible. Moreover, nurses may help residents optimize their quality of life and death by understanding their and their family members' expectations and preferences, encouraging them to discuss their care plan with doctors, and respecting their decisions. The care goals of achieving a good death and relief of suffering may also be promoted through care that is delivered using a holistic, person/family-centered care approach.

Work-from-home is here to stay: Call for flexibility in post-pandemic work policies.

In early 2020, the Covid-19 pandemic forced employees in tech companies worldwide to abruptly transition from working in offices to working from their homes. During two years of predominantly working from home, employees and managers alike formed expectations about what post-pandemic working life should look like. Many companies are experimenting with new work policies that balance employee- and manager expectations regarding where, when and how work should be done in the future. In this article, we gather experiences of the new trend of remote working based on the synthesis of 22 company-internal surveys of employee preferences for WFH, and 26 post-pandemic work policies from 17 companies and their sites, covering 12 countries in total. Our results are threefold. First, through the new work policies, all companies formally give employees more flexibility regarding working time and location. Second, there is a great variation in how much flexibility the companies are willing to yield to the employees. The paper details the different formulations that companies adopted to document the extent of permitted WFH, exceptions, relocation permits and the authorisation procedures. Third, we document a change in the psychological contract between employees and managers, where the option of working from home is converted from an exclusive perk that managers could choose to give to the few, to a core privilege that all employees feel they are entitled to. Finally, there are indications that as the companies learn and solicit feedback regarding the efficiency of the chosen strategies, we will see further developments and changes in the work policies concerning how much flexibility to work whenever and from wherever they grant. Through these findings, the paper contributes to a growing literature about the new trends emerging from the pandemic in tech companies and spells out practical implications onwards.

[Providing Health-Literacy-Level-Appropriate Health Education to Older Adults in the Post-Pandemic Era].

The rapidly changing and high-risk nature of communicable diseases for older adults require individuals in this age group to appropriately change their lifestyle and healthcare habits and engage in self-care more actively and seriously. Good self-health management relies on good health literacy in order to be able to read, understand, and apply relevant health information; to communicate clearly with healthcare providers; and to take health-related decisions and actions. The results of research indicate the health literacy of over 50% of older adults in Taiwan to be inadequate, which may be expected to negatively impact on related health outcomes. After introducing the content, determinants, and impacts of health literacy, the author suggests strategies to improve health literacy in older adults in five activity domains based on current theories and research findings. These domains include: formulate public policies for health literacy, adjust the orientation of health services, construct a friendly healthy information environment for health literacy, strengthen community health literacy education resources, and promote gerontological education and shared decision-making in health care.