Tracking Self-reported Symptoms and Medical Conditions on Social Media During the COVID-19 Pandemic: Infodemiological Study

BackgroundHarnessing health-related data posted on social media in real time can offer insights into how the pandemic impacts the mental health and general well-being of individuals and populations over time.ObjectiveThis study aimed to obtain information on symptoms and medical conditions self-reported by non-Twitter social media users during the COVID-19 pandemic, to determine how discussion of these symptoms and medical conditions changed over time, and to identify correlations between frequency of the top 5 commonly mentioned symptoms post and daily COVID-19 statistics (new cases, new deaths, new active cases, and new recovered cases) in the United States.MethodsWe used natural language processing (NLP) algorithms to identify symptom- and medical condition–related topics being discussed on social media between June 14 and December 13, 2020. The sample posts were geotagged by NetBase, a third-party data provider. We calculated the positive predictive value and sensitivity to validate the classification of posts. We also assessed the frequency of health-related discussions on social media over time during the study period, and used Pearson correlation coefficients to identify statistically significant correlations between the frequency of the 5 most commonly mentioned symptoms and fluctuation of daily US COVID-19 statistics.ResultsWithin a total of 9,807,813 posts (nearly 70% were sourced from the United States), we identified a discussion of 120 symptom-related topics and 1542 medical condition–related topics. Our classification of the health-related posts had a positive predictive value of over 80% and an average classification rate of 92% sensitivity. The 5 most commonly mentioned symptoms on social media during the study period were anxiety (in 201,303 posts or 12.2% of the total posts mentioning symptoms), generalized pain (189,673, 11.5%), weight loss (95,793, 5.8%), fatigue (91,252, 5.5%), and coughing (86,235, 5.2%). The 5 most discussed medical conditions were COVID-19 (in 5,420,276 posts or 66.4% of the total posts mentioning medical conditions), unspecified infectious disease (469,356, 5.8%), influenza (270,166, 3.3%), unspecified disorders of the central nervous system (253,407, 3.1%), and depression (151,752, 1.9%). Changes in posts in the frequency of anxiety, generalized pain, and weight loss were significant but negatively correlated with daily new COVID-19 cases in the United States (r=-0.49, r=-0.46, and r=-0.39, respectively; P<.05). Posts on the frequency of anxiety, generalized pain, weight loss, fatigue, and the changes in fatigue positively and significantly correlated with daily changes in both new deaths and new active cases in the United States (r ranged=0.39-0.48; P<.05).ConclusionsCOVID-19 and symptoms of anxiety were the 2 most commonly discussed health-related topics on social media from June 14 to December 13, 2020. Real-time monitoring of social media posts on symptoms and medical conditions may help assess the population’s mental health status and enhance public health surveillance for infectious disease.     

新型冠状病毒肺炎疫情下的医疗设备及防护物资管理

新型冠状病毒肺炎疫情的大规模暴发为医院医疗设备及防护物资的管理带来了新的挑战。为应对此次疫情,医院相关部门需在满足日常诊疗工作要求的前提下,细化与疫情相关的医疗设备及防护物资的采购、使用、维护等流程,以保证医疗设备及防护物资的高效率、高质量供应,切实为临床一线做好后勤保障。     

Excess Mortality During the COVID-19 Pandemic in Jordan: Secondary Data Analysis

BackgroundAll-cause mortality and estimates of excess deaths are commonly used in different countries to estimate the burden of COVID-19 and assess its direct and indirect effects.ObjectiveThis study aimed to analyze the excess mortality during the COVID-19 pandemic in Jordan in April-December 2020.MethodsOfficial data on deaths in Jordan for 2020 and previous years (2016-2019) were obtained from the Department of Civil Status. We contrasted mortality rates in 2020 with those in each year and the pooled period 2016-2020 using a standardized mortality ratio (SMR) measure. Expected deaths for 2020 were estimated by fitting the overdispersed Poisson generalized linear models to the monthly death counts for the period of 2016-2019.ResultsOverall, a 21% increase in standardized mortality (SMR 1.21, 95% CI 1.19-1.22) occurred in April-December 2020 compared with the April-December months in the pooled period 2016-2019. The SMR was more pronounced for men than for women (SMR 1.26, 95% CI 1.24-1.29 vs SMR 1.12, 95% CI 1.10-1.14), and it was statistically significant for both genders (P<.05). Using overdispersed Poisson generalized linear models, the number of expected deaths in April-December 2020 was 12,845 (7957 for women and 4888 for men). The total number of excess deaths during this period was estimated at 4583 (95% CI 4451-4716), with higher excess deaths in men (3112, 95% CI 3003-3221) than in women (1503, 95% CI 1427-1579). Almost 83.66% of excess deaths were attributed to COVID-19 in the Ministry of Health database. The vast majority of excess deaths occurred in people aged 60 years or older.ConclusionsThe reported COVID-19 death counts underestimated mortality attributable to COVID-19. Excess deaths could reflect the increased deaths secondary to the pandemic and its containment measures. The majority of excess deaths occurred among old age groups. It is, therefore, important to maintain essential services for the elderly during pandemics.     

Disaster Management and School Nutrition: A Qualitative Study of Emergency Feeding During the COVID-19 Pandemic

BackgroundSchool nutrition programs mitigate child food insecurity across the United States. With the onset of the coronavirus disease 2019 (COVID-19) pandemic, kindergarten through grade 12 physical school campuses closed, which led to those programs transitioning to emergency feeding. The Sendai Framework for Disaster Risk Reduction has 4 action priorities that guided the assessment of school nutrition employees’ emergency response during the COVID-19 pandemic.ObjectiveOur aim was to explore the experience of school nutrition employees as they provided emergency feeding services during the COVID-19 pandemic and evaluate their actions based on the Sendai Framework for Disaster Risk Reduction .DesignA qualitative study with semi-structured interviews (n = 34) was conducted via videoconferencing software. A purposive sample of school nutrition employees across all 7 US Department of Agriculture regions who were involved in the COVID-19 emergency feeding response participated during April and May 2020.Participants/settingSchool nutrition employees were selected randomly for participation from those indicating willingness to be interviewed during their participation in a related survey. Recruitment continued until all 7 US Department of Agriculture regions were represented. Participants held various roles, ranging from state agency leaders to front-line supervisors, although most were district-level directors or assistant directors.AnalysisData were analyzed using a phenomenological qualitative analytic approach.ResultsFour themes emerged. First, participants described the progression of the initial shock associated with the pandemic and service disruption, the flexibility they practiced, and the development of new routines. Second, keeping people (children, coworkers, and the community) safe was highlighted. The next theme captured participants’ feeling that they came “out of the shadows” as communities and stakeholders recognized their important contribution to children’s food security. Finally, they shared insight on communication and accountability during the emergency feeding response.ConclusionsThese programs demonstrated flexibility, resilience, and commitment to children during this crisis. As the pandemic continues and future disasters are considered, school nutrition programs and leaders can use the Sendai Framework for Disaster Risk Reduction’s “build back better” concept to refine disaster preparedness plans and advocate for changes that will continue to combat child food insecurity in the United States.     

The Anticipated Future of Public Health Services Post COVID-19: Viewpoint

In March 2020, the World Health Organization declared COVID-19 as a global pandemic. The COVID-19 pandemic has affected various public health functions and essential services in different ways and magnitudes. Although all countries have witnessed the effect of COVID-19, the impact differed based on many factors including the integrity and resiliency of the countries’ health systems. This paper presents opinions and expectations of the authors about the anticipated changes in the future of public health at the global, regional, and national levels. The viewpoint is based on the current efforts and challenges that various stakeholders have carried out to control COVID-19 and the contribution from the literature on the future of public health. Numerous agencies and actors are involved in the fight against COVID-19 with variations in their effectiveness. The public health services showed weaknesses in most of the countries, in addition to the lack of adequate curative medicine settings. The pandemic highlighted the need for better governance and stronger and more resilient health systems and capacities. The COVID-19 experience has also emphasized the importance of coordination and collaboration among the countries and stakeholders. The COVID-19 pandemic might lead to a wide discussion to improve international and national approaches to prepare for and respond to similar events in terms of preparedness and response mechanisms and tools. Public health will not be the same as before COVID-19. New health priorities, approaches, and new agendas will be on the table of the global platforms and initiatives. More investment in research and technology to meet the demand for new vaccines and medicines, innovative methods like distance learning and working, more respect and remuneration to health professionals, and normalization of the public health and social measures that were induced during the COVID-19 pandemic are expected to be seen in future.     

The Influence of Social Distancing Behaviors and Psychosocial Factors on Physical Activity During the COVID-19 Pandemic: Cross-sectional Survey Study

BackgroundThe COVID-19 pandemic has arguably facilitated a shift toward increased sedentariness and reduced physical activity. Moreover, there is mounting evidence that mental health has also declined during the pandemic. However, it remains unknown to what extent social distancing (SD) behaviors and mental health have affected the physical activity levels of the general population.ObjectiveThe purpose of this study was to determine the influence of SD behaviors and prevailing mental health on the odds of being physically active during the early COVID-19 pandemic response.MethodsA total of 4819 adults (2474/4819, 51.3%, female) from the US population with a median age of 46 (IQR 35-59) completed an online survey during the early pandemic response (April-June 2020). The survey included questions on adherence to 11 SD behaviors, and validated questionnaires which assessed self-reported physical activity, depression, anxiety, and mental well-being. Respondents were categorized into 2 physical activity groups: inactive (0-599 metabolic equivalent of task [MET]-minutes/week) and active (≥600 MET-minutes/week). A logistic generalized additive model (GAM) was used to determine which SD factors and mental health outcomes were associated with physical activity level.ResultsThe GAM analysis revealed that wearing a facemask in public (odds ratio [OR] 1.46, 95% CI 1.14-1.79; P=.003), limiting the use of public transport (OR 1.47, 95% CI 1.19-1.83; P=.001), and restricting travel outside the house (OR 1.56, 95% CI 1.19-2.05; P=.002) were SD behaviors associated with higher odds of being more physically active. Conversely, avoiding physical activity outside the house was associated with higher odds of being inactive (OR 0.52, 95% CI 0.46-0.63; P<.001). Leaving the house more frequently, and a higher mental well-being were associated with increasing odds of being physically active (P<.001). Engaging with a moderate number of SD behaviors (3-7 total) was positively associated with physical activity, whereas a very high SD vigilance (ie, engaging with ≥10 total behaviors) decreased the odds of being active during the early pandemic response.ConclusionsBased on the findings of our study, we suggest that future public health messaging of SD guidelines should include (1) a clear portrayal of the benefits of regular exercise on mental health; and (2) a specific focus on how to be physically active outdoors in a COVID-safe manner.     

新型冠状病毒肺炎疫情下县域医疗机构分类管理探讨

新型冠状病毒肺炎疫情发生后,国家建立省际对口支援湖北省除武汉以外地市新型冠状病毒肺炎医疗救治工作机制。介绍了新型冠状病毒肺炎疫情下县域医疗卫生配置现状及存在的问题,分析了广东省援助湖北医疗队在支援帮扶洪湖市过程中,对新型冠状病毒肺炎防治定点医疗机构实施分类管理、集中收治的举措和成效,提出了相应的策略建议。     

新型冠状病毒肺炎疫情防控医疗物资配置策略研究

SARS以后围绕"一案三制"建立起来的突发公共卫生事件应急制度在新型冠状病毒肺炎疫情应对过程中暴露出的短板,背后的深层次原因是制度主义突发公共卫生事件应对方式"失灵",为向公共行政行动主义转向提供契机。以新型冠状病毒肺炎疫情应对中的医疗物资配置为例进行分析,发现突发公共卫生事件应急管理已经从本质上异于或超越了传统的制度主义基本逻辑范畴。结合当前我国卫生应急管理不同阶段情况,讨论了行动主义分析框架下医疗物资供给与配置的策略。     

Burnout and Associated Factors Among Health Care Workers in Singapore During the COVID-19 Pandemic

ObjectivesThe strain on health care systems due to the COVID-19 pandemic has led to increased psychological distress among health care workers (HCWs). As this global crisis continues with little signs of abatement, we examine burnout and associated factors among HCWs.DesignCross-sectional survey study.Setting and ParticipantsDoctors, nurses, allied health professionals, administrative, and support staff in 4 public hospitals and 1 primary care service in Singapore 3 months after COVID-19 was declared a global pandemic.MethodsStudy questionnaire captured demographic and workplace environment information and comprised 3 validated instruments, namely the Oldenburg Burnout Inventory (OLBI), Safety Attitudes Questionnaire (SAQ), and Hospital Anxiety and Depression Scale (HADS). Multivariate mixed model regression analyses were used to evaluate independent associations of mean OLBI-Disengagement and -Exhaustion scores. Further subgroup analysis was performed among redeployed HCWs.ResultsAmong 11,286 invited HCWs, 3075 valid responses were received, giving an overall response rate of 27.2%. Mean OLBI scores were 2.38 and 2.50 for Disengagement and Exhaustion, respectively. Burnout thresholds in Disengagement and Exhaustion were met by 79.7% and 75.3% of respondents, respectively. On multivariate regression analysis, Chinese or Malay ethnicity, HADS anxiety or depression scores ≥8, shifts lasting ≥8 hours, and being redeployed were significantly associated with higher OLBI mean scores, whereas high SAQ scores were significantly associated with lower scores. Among redeployed HCWs, those redeployed to high-risk areas in a different facility (offsite) had lower burnout scores than those redeployed within their own work facility (onsite). A higher proportion of HCWs redeployed offsite assessed their training to be good or better compared with those redeployed onsite.Conclusions and ImplicationsEvery level of the health care workforce is susceptible to high levels of burnout during this pandemic. Modifiable workplace factors include adequate training, avoiding prolonged shifts ≥8 hours, and promoting safe working environments. Mitigating strategies should target every level of the health care workforce, including frontline and nonfrontline staff. Addressing and ameliorating burnout among HCWs should be a key priority for the sustainment of efforts to care for patients in the face of a prolonged pandemic.     

Pakistan’s Response to COVID-19: Overcoming National and International Hypes to Fight the Pandemic

The COVID-19 outbreak started as pneumonia in December 2019 in Wuhan, China. The subsequent pandemic was declared as the sixth public health emergency of international concern on January 30, 2020, by the World Health Organization. Pakistan could be a potential hotspot for COVID-19 owing to its high population of 204.65 million and its struggling health care and economic systems. Pakistan was able to tackle the challenge with relatively mild repercussions. The present analysis has been conducted to highlight the situation of the disease in Pakistan in 2020 and the measures taken by various stakeholders coupled with support from the community to abate the risk of catastrophic spread of the virus.     

Real-World Impact of Transferring the Dispensing of Hospital-Only Medicines to Community Pharmacies During the COVID-19 Pandemic

ObjectivesIn Portugal, the dispensing of most outpatient specialty medicines is performed exclusively through hospital pharmacies and totally financed by the National Health Service. During the COVID-19 first wave, the government allowed the transfer of the dispensing of hospital-only medicines (HOMs) to community pharmacies (CPs). This study aimed to measure the value generated by the intervention of CP in the dispensing of HOM.MethodsA single-arm, before-and-after study with 3-month follow-up was conducted enrolling a randomly selected sample of patients or caregivers with at least 1 dispensation of HOM through CP. Data were collected by telephone interview. Main outcomes were patients’ self-reported adherence (Measure Treatment Adherence), health-related quality of life (EQ-5D 3-Level), satisfaction with the service, and costs related to HOM access.ResultsOverall 603 subjects were recruited to participate in the study (males 50.6%) with mean 55 years old (SD = 16). The already high mean adherence score to therapy improved significantly (P < .0001), and no statistically significant change (P > .5757) was found in the mean EQ-5D score between baseline (0.7 ± 0.3) and 3-month follow-up (0.8 ± 0.3). Annual savings account for €262.1/person, arising from travel expenses and absenteeism reduction. Participants reported a significant increase in satisfaction levels in all evaluated domains—pharmacist’s availability, opening hours, waiting time, privacy conditions, and overall experience.ConclusionsChanging the dispense setting to CP may promote better access and satisfaction. Moreover, it ensures the persistence of treatments, promotes savings for citizens, and reduces the burden of healthcare services, representing a crucial public health measure.     

Medical populism and the COVID-19 pandemic

ABSTRACT

This paper uses the vocabulary of ‘medical populism’ to identify and analyse the political constructions of (and responses to) the COVID-19 pandemic in Brazil, the Philippines, and the United States from January to mid-July 2020, particularly by the countries’ heads of state: Jair Bolsonaro, Rodrigo Duterte, and Donald Trump. In all three countries, the leaders’ responses to the outbreak can be characterised by the following features: simplifying the pandemic by downplaying its impacts or touting easy solutions or treatments, spectacularizing their responses to crisis, forging divisions between the ‘people’ and dangerous ‘others’, and making medical knowledge claims to support the above. Taken together, the case studies illuminate the role of individual political actors in defining public health crises, suggesting that medical populism is not an exceptional, but a familiar response to them. This paper concludes by offering recommendations for global health in anticipating and responding to pandemics and infectious disease outbreaks.     

新型冠状病毒肺炎时期的应急医疗物资保障与管理

该研究基于江西省级某大型综合医院新型冠状病毒肺炎疫情期间的应急医疗物资消耗量数据分析及实践管理经验,提炼出疫情期间应急医疗物资保障与管理工作存在的主要问题,并根据疫情期间应急医疗物资的量大、紧急、来源复杂和多样、需求不确定等特点,阐述了医院应急医疗物资保障与管理方案。首先,建立协调一致、高效迅捷的应急医疗物资保障管理体系,设立由院领导牵头、各物资部门负责人组成的物资协调组,负责全院应急医疗物资的统一调配;然后,对所有进入医院的应急医疗物资进行精细化管理,针对物资的验收、入库、发放及使用建立单独台账,与信息系统融合,做到物资库存信息实时更新,每日盘点上报,以便物资协调组掌握物资动态,随时调度、解决物资相关问题;最终,形式了一套高效的应急医疗物资管理方案,并在实践中不断总结与完善,有效保障了医院医疗救治工作的顺利开展,为大型医院做好突发卫生事件的应急医疗物资保障与管理工作提供参考。     

Social Engagement and Distress Among Home Care Recipients During the COVID-19 Pandemic in Ontario,Canada: A Retrospective Cohort Study

ObjectivesTo examine factors associated with distressing social decline and withdrawal during the COVID-19 pandemic for home care recipients.DesignRetrospective cohort.Setting and participantsHome care recipients age 18 years or older in Ontario, Canada without severe cognitive impairment with an assessment and follow-up between September 1, 2018 and August 31, 2020.MethodsData were collected using the interRAI home care. Outcomes of interest were distressing decline in social participation and social withdrawal. Independent variables were entered into multivariable longitudinal generalized estimating equations. Interaction terms with the pandemic were tested. Those significant at P < .01 were retained in final models and reported as odds ratios (ORs), 95% confidence intervals (CIs).ResultsWe compared 26,492 and 19,126 home care recipients before and during the pandemic, respectively. The pandemic was associated with greater odds of experiencing distressing social decline (OR 1.28, 95% CI 1.22?1.34) and withdrawal (OR 1.09, 95% CI 1.04?1.15). Living alone (OR 1.13, 95% CI 1.05?1.22), frailty (OR 3.21, 95% CI 2.76?3.73), health instability (OR 2.22, 95% CI 2.02?2.44), and depression (OR 2.14, 95% CI 2.01?2.29) increased the odds of distressing social decline. Older age (OR 0.71, 95% CI 0.65?0.77), functional impairment (OR 0.58, 95% CI 0.51?0.67), and receiving caregiving (OR 0.73, 95% CI 0.67?0.79) decreased the odds. Home care recipients with mild/moderate dementia were less likely to experience distressing social decline during the pandemic. Those who lived alone were more likely. Frailty (OR 9.49, 95% CI 7.69?11.71) and depression (OR 2.76, 95% CI 2.55?3.00) increased the odds of social withdrawal. Functional impairment (OR 0.32, 95% CI 0.27?0.39), congestive heart failure (OR 0.77, 95% CI 0.70?0.84), and receiving caregiving (OR 0.50, 95% CI 0.46?0.55) decreased the odds. Home care recipients age 18?64 years and older than 75 years were less likely to experience social withdrawal during the pandemic.Conclusions and implicationsSocial support interventions should focus on supporting those living alone, with frailty, health instability, or depression.     

Health Behaviours among Nursing Students in Poland during the COVID-19 Pandemic

(1) Background: An individual’s health status can be perceived as a consequence of their health behaviours. This research aimed to determine the intensity of health-promoting behaviours and to identify factors determining the health behaviours of nursing students during the COVID-19 pandemic. (2) Methods: This study included 894 nursing students from six universities in Poland, and it was conducted between 20 March and 15 December 2021. A diagnostic survey was applied as the research method, and the data were collected using the Health Behaviour Inventory and the Satisfaction With Life Scale. (3) Results: Nearly half of the students participating in the study (48.43%) declared that the intensity of their general health behaviours was low. A positive and significant correlation (r = 0.426) was found between general health behaviours and satisfaction with life. A regression model demonstrated general satisfaction with life to be a predictor of taking up health-related behaviours (18%; β = 0.34), as well as in terms of proper eating habits (4%; β = 0.15), prophylactic behaviours (6%; β = 0.21), positive mental attitudes (26%; β = 0.44) and applied pro-health practices (10%; β = 0.25). (4) Conclusions: Most nursing students showed low levels of health-promoting behaviours. More research is needed on health behaviours and their determinants among nursing students, as it may be important in explaining the mechanisms of health behaviour formation.     

新型冠状病毒肺炎疫情下公立医院卫生应急管理思考

新型冠状病毒肺炎疫情的全国暴发与蔓延给防控带来巨大的挑战,公立医院作为传染病疫情救治的主战场承受着巨大的压力。由于新发疾病的不确定性,此次疫情早期的风险识别、风险预警,乃至此后的救治等链条都存在着亟待完善之处,更需要在未来的医院卫生应急风险防控上基于多部门、多系统的协同治理,在提高风险意识、完善应急机制、加强监测预警、强化常态化的预案管理等方面提高疫情分析和研判能力,同时借力互联网医疗的信息对接、共享与交流提升诊疗能力,最大限度保障医务人员的健康安全。     

Machine Learning Techniques to Explore Clinical Presentations of COVID-19 Severity and to Test the Association With Unhealthy Opioid Use: Retrospective Cross-sectional Cohort Study

BackgroundThe COVID-19 pandemic has exacerbated health inequities in the United States. People with unhealthy opioid use (UOU) may face disproportionate challenges with COVID-19 precautions, and the pandemic has disrupted access to opioids and UOU treatments. UOU impairs the immunological, cardiovascular, pulmonary, renal, and neurological systems and may increase severity of outcomes for COVID-19.ObjectiveWe applied machine learning techniques to explore clinical presentations of hospitalized patients with UOU and COVID-19 and to test the association between UOU and COVID-19 disease severity.MethodsThis retrospective, cross-sectional cohort study was conducted based on data from 4110 electronic health record patient encounters at an academic health center in Chicago between January 1, 2020, and December 31, 2020. The inclusion criterion was an unplanned admission of a patient aged ≥18 years; encounters were counted as COVID-19-positive if there was a positive test for COVID-19 or 2 COVID-19 International Classification of Disease, Tenth Revision codes. Using a predefined cutoff with optimal sensitivity and specificity to identify UOU, we ran a machine learning UOU classifier on the data for patients with COVID-19 to estimate the subcohort of patients with UOU. Topic modeling was used to explore and compare the clinical presentations documented for 2 subgroups: encounters with UOU and COVID-19 and those with no UOU and COVID-19. Mixed effects logistic regression accounted for multiple encounters for some patients and tested the association between UOU and COVID-19 outcome severity. Severity was measured with 3 utilization metrics: low-severity unplanned admission, medium-severity unplanned admission and receiving mechanical ventilation, and high-severity unplanned admission with in-hospital death. All models controlled for age, sex, race/ethnicity, insurance status, and BMI.ResultsTopic modeling yielded 10 topics per subgroup and highlighted unique comorbidities associated with UOU and COVID-19 (eg, HIV) and no UOU and COVID-19 (eg, diabetes). In the regression analysis, each incremental increase in the classifier’s predicted probability of UOU was associated with 1.16 higher odds of COVID-19 outcome severity (odds ratio 1.16, 95% CI 1.04-1.29; P=.009).ConclusionsAmong patients hospitalized with COVID-19, UOU is an independent risk factor associated with greater outcome severity, including in-hospital death. Social determinants of health and opioid-related overdose are unique comorbidities in the clinical presentation of the UOU patient subgroup. Additional research is needed on the role of COVID-19 therapeutics and inpatient management of acute COVID-19 pneumonia for patients with UOU. Further research is needed to test associations between expanded evidence-based harm reduction strategies for UOU and vaccination rates, hospitalizations, and risks for overdose and death among people with UOU and COVID-19. Machine learning techniques may offer more exhaustive means for cohort discovery and a novel mixed methods approach to population health.     

Advance Care Planning in Dutch Nursing Homes During the First Wave of the COVID-19 Pandemic

ObjectivesTo explore how physicians in Dutch nursing homes practiced advance care planning (ACP) during the first wave of the COVID-19 pandemic, and to explore whether and how ACP changed during the first wave of the pandemic.DesignQualitative analysis of an online, mainly open-ended questionnaire on ACP among physicians working in nursing homes in the Netherlands during the first wave of the COVID-19 pandemic.Setting and ParticipantsPhysicians in Dutch nursing homes.MethodsRespondents were asked to describe a recent case in which they had a discussion on anticipatory medical care decisions and to indicate whether ACP was influenced by the COVID-19 pandemic in that specific case and in general. Answers were independently coded and a codebook was compiled in which the codes were ordered by themes that emerged from the data.ResultsA total of 129 questionnaires were filled out. Saturation was reached after analyzing 60 questionnaires. Four main themes evolved after coding the questionnaires: reasons for ACP discussion, discussing ACP, topics discussed in ACP, and decision making in ACP. COVID-19–specific changes in ACP indicated by respondents included (1) COVID-19 infection as a reason for initiating ACP, (2) a higher frequency of ACP discussions, (3) less face-to-face contact with surrogate decision makers, and (4) intensive care unit admission as an additional topic in anticipatory medical decision making.Conclusions and ImplicationsACP in Dutch nursing homes has changed because of the COVID-19 pandemic. Maintaining frequent and informal contact with surrogate decision makers fosters mutual understanding and aids the decision-making process in ACP.     

疫情局部反弹应急处置:应急举措、短板弱项与能力提升路径——以H省W县为例

随着新冠疫情在全球范围内的暴发流行,这一人类历史上防控难度最大的重大突发公共卫生事件,严重威胁人类的生命安全和经济社会的发展,对新冠疫情的防范与应急处置成为全球各国面临的重大挑战.本研究以疫情防控常态化背景下H省S市W县2021年1月10日到2021年2月21日新冠疫情反弹发展为研究对象,通过对S市W县疫情应急管理措施...