1.Study on critical indicators for nursing practice environment
Jian LI ; Haiyan ZHANG ; Weiyan JIAN ; Guofeng LIU ; Xiao YING ; Wenhan SHANG ; Li YAO
Chinese Journal of Hospital Administration 2017;33(1):58-62
Objective To identify the critical indicators of nursing practice environment in China, as a reference for related studies. Methods Descriptive systematic review was used to retrieve literature of nursing practice environment, collect all potential indicators and design questionnaires based on those indicators. In the end, 39 potential indicators were identified, for a questionnaire survey of nurses from cooperating medical institutions in 30 provinces in China, with the data subject to statistical analysis in multiple linear regression model. Results Questionnaire items of higher mean score were usually found with a smaller 95% confidence interval, while coefficient of variation tended to be lower. Seventeen indicators were recommended as key indicators for nursing practice environment in China, including proper working hours and intensity, opportunities for nurses to participate in hospital management, good working relationship with doctors within a department,nursing managers′support for nurses′right decisions. The remaining components turned out to be insignificant in the analysis. Conclusions The influencing factors for the nursing practice environment in China are different from other countries. In this consideration, nursing managers should further explore and focus on such special indicators, and proactively improve the quality of nursing practice environment for better nursing service.
2.Status of psychological capital of clinical nurses in tertiary hospitals and its influencing factors
Zhuo LIU ; Wenhan SHANG ; Lan WANG ; Hongtao GU ; Jing LI
Chinese Journal of Modern Nursing 2016;22(30):4326-4330
Objective To investigate the status of nurses′ psychological capital and analyze its influencing factors, to provide theoretical basis for improving nurses′ psychological capital for clinical nursing managers. Methods A total of 1 095 nurses in a Beijing tertiary hospital were investigated by a self-designed questionnaire about general information and psychological capital questionnaire ( PCQ ) of Chinese version. Variance analysis and multiple linear regression were used to explore the influencing factors of nurses′psychological capital.Results The mean score of psychological capital was (4.15±0.68), and the scores of dimensions from high to low were:self-efficacy (4.26±0.92), hope (4.21±0.89), toughness (4.20±0.70) and optimism (3.93±0.61). Multiple regression analysis indicated that the score of psychological capital in nurses with different titles, authorized strength, working time, departments and ages were significantly different ( F=8. 688,7.028,2.709,3. 986,3.852;P<0.01).Conclusions Theoverall nurses′ psychological capital is in the middle-high level. Nursing managers should pay more attention to the special groups, and take measures to improve their psychological capital.
3.Investigation and research on working environment of nurses in a Class Ⅲ Grade A hospital of stomatology in Beijing
Lu GAN ; Hua LI ; Xiue LI ; Wenhan SHANG ; Qian WANG ; Chunli WANG
Chinese Journal of Modern Nursing 2020;26(19):2526-2530
Objective:To investigate the current situation of working environment of nurses in a ClassⅢ Grade A hospital of stomatology in Beijing so as to provide basis for nursing managers to improve working environment of nursing staff of oral nursing staff.Methods:The convenient sampling method was used to select 894 oral nursing staff in a ClassⅢ Grade A hospital of stomatology in Beijing in August 2018 as the research objects. The General Questionnaire and the Nurses' Working Environment Evaluation electronic questionnaire were used for the survey, and the nonparametric test method was used to compare the total score and dimension scores of nurses' working environment of different social demographic data.Results:A total of 894 questionnaires were distributed and 564 valid questionnaires were recovered. The score of working environment of nurses in stomatological hospital was [96.72 (90.06, 99.30) ]. The dimension with the highest score was medical care cooperation, and the lowest dimension was hospital management participation. Univariate analysis results showed that the total scores of working environment of nursing staff in different departments were statistically different ( P<0.01) . There were statistically significant differences in the scores of nurses from different departments in the seven dimensions of hospital management participation, clinical nursing professionalism, quality management, medical care cooperation, human resource allocation, social status and salary treatment ( P<0.05) . There were statistically significant differences in scores of hospital management participation among nurses of different ages and educational backgrounds ( P<0.05) . The differences in the scores of the dimensions of leadership and communication and quality management among nurses of different positions were statistically significant ( P<0.05) . Conclusions:The working environment of nurses in stomatological hospital is generally good and the medical cooperation is close and harmonious, but the hospital management mode and nurses' salary and benefits distribution system still need to be improved. Nursing managers should improve the nurses' working environment according to the characteristics of different departments and nurse groups.
4.Construction of sensitive quality index system of dental clinic nursing
Huiwen ZENG ; Lu GAN ; Hua LI ; Xiue LI ; Weiping WANG ; Wenhan SHANG ; Lili YANG
Chinese Journal of Modern Nursing 2023;29(34):4701-4705
Objective:To build a sensitive quality index system of dental clinic nursing.Methods:Based on the Donabedian "structure-process-results" three-dimensional quality model, the indicators at all levels of the sensitive quality index system of dental clinic nursing was preliminarily constructed through literature review. The Delphi method was used to develop a system of sensitive quality indicators for dental outpatient care through two rounds of correspondence with 15 experts from the fields of dental care management, oral health care, quality of care management, and health policy.Results:The effective response rates of the two rounds of expert inquiry questionnaires were 100% (15/15), and the average authority coefficient of the experts was 0.93. The Kendall's harmony coefficients of the overall indicators were 0.115 and 0.141, respectively ( P<0.05). A sensitive quality indicator system for dental clinic nursing was finally determined, including 3 primary indicators, 7 secondary indicators and 19 tertiary indicators. Conclusions:The sensitive quality indicator system for dental clinic nursing constructed in this research is scientific and reliable. After verification through future research, it can serve as a basis for improving the quality of dental clinic nursing.