Investigation on the Current Situation and Influencing Factors of Attitudes and Training Needs of Hospice Care among Nursing Staff in Hainan Province / 中国医学伦理学

【Objective:】 To investigate the current situation of attitudes and training needs of hospice care among nursing staff in Hainan Province, and analyze the influencing factors, so as to provide basis for formulating scientific and standardized hospice care training programs for nursing staff. 【Methods:】 From October to December in 2021, a total of 1 819 nursing staff from 45 general hospitals, specialized hospitals and nursing homes in 14 cities and counties of Hainan province were selected by convenience sampling method to conduct the questionnaire on hospice care attitude and training needs. 【Results:】 1 789 valid questionnaires were collected with effective recovery of 98.35%. Nursing staff hospice care attitude score was (88.13±12.10) points, the standard score was 70.4 points, hospice care attitude was at medium level. Nursing staff training needs score was (26.96±5.16) points, the standard score was 89.87, the needs of each dimension and item were higher than 75.1%, the training needs were at high level. Professional title, currently engaged in hospice care services, and willingness to engage in hospice care services were the influencing factors of hospice care training needs (P<0.05), and the hospital, have witnessed the death of dying patients or relatives, willingness to engage in hospice care services were the main influencing factors of nurses’ attitude toward hospice care (P<0.05). 【Conclusion:】 At present, nursing staff in Hainan Province held a moderate attitude towards hospice care, and had a high demand for training. The major obstacles for nursing staff to engage in hospice care at present were high stress in the face of dying patients and symptom management. Nursing managers should combine the current situation, pay attention to stimulate nurses’ intrinsic motivation, strengthen the training of nursing staff’s concept of hospice nursing, construct a diversified training system, and carry out specialized and modular skill practice and theoretical training to improve nursing staff’s hospice care ability.

Systemic administration of dorsomorphin relieves inflammatory nociception in the mouse formalin test.

Inflammatory pain is the most important clinical symptom of inflammatory diseases. Despite intensive research into inflammatory pain mechanisms, the majority of analgesics available are based on mechanistic classes of compounds that have been known for many years, as a result, inflammatory pain control remains a challenge for drug design in the context of clinically unmet needs in terms of safety and efficacy. A growing literature supports that pro-inflammatory cytokine signaling plays a crucial role in the development of inflammatory pain. Modulation of the pro-inflammatory cytokine may hold the key to improved pain management. Previous studies have reported that dorsomorphin played key roles in inflammation. But the role of dorsomorphin in the formalin-induced inflammatory nociception in mice has never been reported. Here, we report a new function of dorsomorphin which can inhibit formalin-induced inflammatory nociception in mice. The antinociceptive effect of dorsomorphin mainly depended on inhibiting the p38 MAPK/c-fos signaling and regulating inflammatory mediators.

Health Communication Through News Media During the Early Stage of the COVID-19 Outbreak in China: A Digital Topic Modeling Approach

BackgroundIn December 2019, some COVID-19 cases were first reported and soon the disease broke out. As this dreadful disease spreads rapidly, the mass media has been active in community education on COVID-19 by delivering health information about this novel coronavirus. MethodsWe adopted the Huike database to extract news articles about coronavirus from major press media, between January 1st, 2020, to February 20th, 2020. The data were sorted and analyzed by Python software and Python package Jieba. We sought a suitable topic number using the coherence number. We operated Latent Dirichlet Allocation (LDA) topic modeling with the suitable topic number and generated corresponding keywords and topic names. We divided these topics into different themes by plotting them into two-dimensional plane via multidimensional scaling. FindingsAfter removing duplicates, 7791 relevant news reports were identified. We listed the number of articles published per day. According to the coherence value, we chose 20 as our number of topics and obtained their names and keywords. These topics were categorized into nine primary themes based on the topic visualization figure. The top three popular themes were prevention and control procedures, medical treatment and research, global/local social/economic influences, accounting for 32{middle dot}6%, 16{middle dot}6%, 11{middle dot}8% of the collected reports respectively. InterpretationThe Chinese mass media news reports lag behind the COVID-19 outbreak development. The major themes accounted for around half the content and tended to focus on the larger society than on individuals. The COVID-19 crisis has become a global issue, and society has also become concerned about donation and support as well as mental health. We recommend that future work should address the mass medias actual impact on readers during the COVID-19 crisis through sentiment analysis of news data. FundingNational Social Science Foundation of China (18CXW021) Evidence before this studyThe novel coronavirus related news reports have engaged public attention in China during the COVID-19 crisis. Topic modeling of these news articles can produce useful information about the significance of mass media for early health communication. We searched the Huike database, the most professional Chinese media content database, using the search term "coronavirus" for related news articles published from January 1st, 2020, to February 20th, 2020. We found that these articles can be classified into different themes according to their emphasis, however, we found no other studies apply topic modeling method to study them. Added value of this studyTo our knowledge, this study is the first to investigate the patterns of health communications through media and the role the media have played and are still playing in the light of the current COVID-19 crisis in China with topic modeling method. We compared the number of articles each day with the outbreak development and identified theres a delay in reporting COVID-19 outbreak progression for Chinese mass media. We identify nine main themes for 7791 collected news reports and detail their emphasis respectively. Implications of all the available evidenceOur results show that the mass media news reports play a significant role in health communication during the COVID-19 crisis, government can strengthen the report dynamics and enlarge the news coverage next time another disease strikes. Sentiment analysis of news data are needed to assess the actual effect of the news reports.

Study on the ReHo in treatment-naïve of temporal lobe epilepsy patients with depressive symptoms using resting functional-MRI (fMRI) / 生物医学工程学杂志

Epilepsy is a common neurological disease accompanied with laden economic burdens and heavy social resources consuming. Temporal lobe epilepsy (TLE) is an important subtype of the epilepsies. Our experiment was aimed to characterize the regional brain function alteration among the treatment na? ve TLE patients using ReHo. We found that elevated regional ReHo was in the left insula in the TLE patients, and the right one was cingulated, while the decreasing ReHo was in right putamen. Our result demonstrated that the key components associated with the epilepsy symptoms had altered the regional function in the TLE patients, and the disruption of cortex-thalamus-striatum loop. Our experiment provides evidence on the pathophysiological alteration in treatment na? ve TLE patients.