Objective:To identify the influencing factors affecting the cosmetic facial injection treatments for cosmetic patients.Methods:Based on the purposeful sampling principle with maximum diversity and data saturation principle, patients who underwent facial injection cosmetic surgery in Plastic Surgery Hospital, Chinese Academy of Medical Sciences from June to September 2022 were selected for cross-sectional study. The qualitative study method was used to conduct semi-structured in-depth interviews with patients and collect data. After the interview, the 7-step analysis method of Colaizzi phenomenological data was used to extract the topic concepts.Results:A total of 16 patients were included, and their influencing factors for medical treatment could be divided into 5 related topics: (1) age-related; (2) occupation-related; (3) surrounding social-environment-related; (4) social media platforms contacted; (5) experience of negative appearance evaluation during adolescence.Conclusion:Many factors affect the treatment of injection patients. In the course of medical treatment, the influencing factors should be identified accurately, so as to guide patients to seek medical treatment scientifically.

Objective:To identify the influencing factors affecting the cosmetic facial injection treatments for cosmetic patients.Methods:Based on the purposeful sampling principle with maximum diversity and data saturation principle, patients who underwent facial injection cosmetic surgery in Plastic Surgery Hospital, Chinese Academy of Medical Sciences from June to September 2022 were selected for cross-sectional study. The qualitative study method was used to conduct semi-structured in-depth interviews with patients and collect data. After the interview, the 7-step analysis method of Colaizzi phenomenological data was used to extract the topic concepts.Results:A total of 16 patients were included, and their influencing factors for medical treatment could be divided into 5 related topics: (1) age-related; (2) occupation-related; (3) surrounding social-environment-related; (4) social media platforms contacted; (5) experience of negative appearance evaluation during adolescence.Conclusion:Many factors affect the treatment of injection patients. In the course of medical treatment, the influencing factors should be identified accurately, so as to guide patients to seek medical treatment scientifically.

Objective:To explore the frailty status of elderly inpatients and its influencing factors, so as to provide a basis for early identification of frailty status of elderly inpatients and scientific intervention.Methods:From January to December 2021, the convenient sampling was used to select 617 elderly patients (aged greater than or equal to 80 years old) in Department of Geriatric Medicine in Xuanwu Hospital, Capital Medical University as the research objects. The General Information Questionnaire, FRAIL Scale, Activities of Daily Living (ADL) Assessment Scale, NRS-2002 Nutritional Risk Screening Scale, John Hopkins Fall Risk Assessment Tool (JHFRAT) and Braden Scale were used to conduct cross-sectional survey. Multiple Logistic regression was used to analyze the influencing factors of frailty in elderly inpatients. A total of 617 questionnaires were distributed and 616 valid questionnaires were recovered, with an effective recovery rate of 99.8% (616/617) .Results:Among 616 elderly inpatients, the incidence of frailty was 60.9% (375/616) . The results of multiple Logistic regression analysis showed that advanced age, high fall risk, dependence on self-care ability of daily living and increased C-reactive protein were risk factors for frailty in elderly inpatients ( P<0.05) . Conclusions:Elderly inpatients have a high incidence of frailty. Advanced age, high fall risk, poor daily living ability and elevated C-reactive protein are related to the occurrence of frailty. Therefore, medical staff should do a good job of assessing the frailty of elderly patients in clinical work and formulate professional, diversified and safe intervention programs in combination with their physical conditions, so as to delay the frailty process of elderly inpatients, improve quality of life of patients and promote healthy aging.

Objective:To explore the frailty status of elderly inpatients and its influencing factors, so as to provide a basis for early identification of frailty status of elderly inpatients and scientific intervention.Methods:From January to December 2021, the convenient sampling was used to select 617 elderly patients (aged greater than or equal to 80 years old) in Department of Geriatric Medicine in Xuanwu Hospital, Capital Medical University as the research objects. The General Information Questionnaire, FRAIL Scale, Activities of Daily Living (ADL) Assessment Scale, NRS-2002 Nutritional Risk Screening Scale, John Hopkins Fall Risk Assessment Tool (JHFRAT) and Braden Scale were used to conduct cross-sectional survey. Multiple Logistic regression was used to analyze the influencing factors of frailty in elderly inpatients. A total of 617 questionnaires were distributed and 616 valid questionnaires were recovered, with an effective recovery rate of 99.8% (616/617) .Results:Among 616 elderly inpatients, the incidence of frailty was 60.9% (375/616) . The results of multiple Logistic regression analysis showed that advanced age, high fall risk, dependence on self-care ability of daily living and increased C-reactive protein were risk factors for frailty in elderly inpatients ( P<0.05) . Conclusions:Elderly inpatients have a high incidence of frailty. Advanced age, high fall risk, poor daily living ability and elevated C-reactive protein are related to the occurrence of frailty. Therefore, medical staff should do a good job of assessing the frailty of elderly patients in clinical work and formulate professional, diversified and safe intervention programs in combination with their physical conditions, so as to delay the frailty process of elderly inpatients, improve quality of life of patients and promote healthy aging.

Objective:To construct an evaluation index system for nursing teaching case base, so as to guide the construction of the nursing teaching case base, and provide a basis for evaluating the quality of the case base.Methods:From April to August 2020, the evaluation index system for nursing teaching case base was initially constructed through the integration of literature retrieval and semi-structured interview results, and based on the Donabedian model. A total of 17 experts were selected as the consultation subjects using the Delphi method. After 2 rounds of consultations, expert opinions tended to be unanimous to construct the evaluation index system for nursing teaching case base.Results:In the second round of consultation, the expert authority coefficient was 0.872, and the expert positive coefficient was 94.12% (16/17) , and the kendall's W was 0.115 with a statistical difference ( P<0.05) . Finally, the evaluation index system for nursing teaching case base included 3 first-level indicators, 8 second-level indicators, and 29 third-level indicators. Conclusions:The evaluation index system of nursing teaching case base based on the Donabedian model is scientific and credible, which can provide a basis for the evaluation of nursing teaching case base.

Objective:To investigate the status quo of patient privacy protection behavior of clinical nurses and analyze its influencing factors.Methods:Using the convenient sampling method, clinical nurses from tertiary hospitals in China were selected to conduct a questionnaire survey on from March to April 2018. The Chinese version of Patient Privacy Scale (PPS) were used to conduct an investigation through Questionnaire Star electronic questionnaire. A total of 1, 043 valid questionnaires were collected, and the effective response rate was 100%.Results:The PPS total score of 1 043 clinical nurses was (124.86±12.16) . The item with the highest score was "You would use screens, curtains and sheets to protect patients' privacy when necessary" (4.89±0.39) , while the item with the lowest score was "You would knock on the door before entering the patient's room and enter after asking for the patient's consent" (4.11±1.14) . The results of multiple regression analysis showed that education level and department had effects on patients' privacy protection behavior ( P<0.05) . Conclusions:The patient privacy protection behavior of clinical nurses is generally at a good level, but there is still room for improvement in individual behaviors. Teaching hospitals should strengthen education related to patient privacy protection for nurses with higher education degree who undertake teaching tasks and nurses in surgical monitoring departments and formulate specific relevant teaching procedures and detailed rules.

With the development of the COVID-19 epidemic, the psychological impacts and stress-related symptoms associated with it have gradually appeared. The preventative and therapeutic psychological crisis interventions are urgently needed. This article focused on the international psychological crisis intervention models, which included the critical incident stress management, the task model, and the assessment-crisis intervention-trauma treatment intervention model. The aim of the current study was to form the suitable interventions for COVID-19 according to existing intervention methods and the specific characteristics of COVID-19. Possible coping strategies were also proposed for COVID-19 psychological crisis, which provided a theoretical basis for establishing an integrated public health emergency system and mechanism for psychological crisis prevention, evaluation, intervention and follow-up in China.

With the development of the COVID-19 epidemic, the psychological impacts and stress-related symptoms associated with it have gradually appeared. The preventative and therapeutic psychological crisis interventions are urgently needed. This article focused on the international psychological crisis intervention models, which included the critical incident stress management, the task model, and the assessment-crisis intervention-trauma treatment intervention model. The aim of the current study was to form the suitable interventions for COVID-19 according to existing intervention methods and the specific characteristics of COVID-19. Possible coping strategies were also proposed for COVID-19 psychological crisis, which provided a theoretical basis for establishing an integrated public health emergency system and mechanism for psychological crisis prevention, evaluation, intervention and follow-up in China.

Medical device standards provide effective technique foundation for supervision to ensure medical device safety for the people. With the optimization and upgrading of the medical device industry, the medical devices standard system including law and regulation system, organization management system, and technical management system has been advanced and developed. According to the requirements of the development of medical device industry and its standards, we put forward four working ideas, in order to improve the scientificity and applicability of medical device standards.
Equipment Safety ; Equipment and Supplies ; standards ; Industry ; Reference Standards

By comparing new medical device regulations with existing directives in the European Union, the revising ideas of new EU medical device regulations, especially the changes of the classification management concepts, were analyzed to provide clues for the industry to interpret the new EU regulations, and references for the classification management innovation in our country.
Equipment and Supplies ; classification ; European Union ; Government Regulation ; Industry