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2. The Relationship between Effort-reward Imbalance and Job Stress among Medical Staff in Beijing

Author

LI Ang, GUO Moning, TAN Peng, LU Feng, WANG Mei

Subjects
medical staff, occupational stress, effort-reward imbalance, structural equation model, partial least square method, beijing, Medicine
Abstract

Background Medical work is characterized as challenging, tasking and stressful. The effort-reward imbalance (ERI) model suggests that if the organizational environment contributes to ERI, it can negatively affect employees. The investigation of medical staff is an important part of the 6th National Health Services Survey in 2018. The good job satisfaction and work conditions of medical staff are important determinants of service utilization and health improvement for the population. The sense of accomplishment and satisfaction of medical staff is also an important goal of the new healthcare reform. Objective To explore the relationship between ERI and job stress, and provide a reference for reducing the job stress of medical staff. Methods The data for this study were obtained from the results of a sample survey of 4 156 healthcare workers in Beijing during the 6th National Health Services Statistics Survey in 2018. A predictive structural equation model of job stress was constructed and based on ERI questionnaire and job stress questionnaire. Relevant parameters were estimated by using the partial least squares to analyze the relationship between ERI and job stress. Results The valid records for participating in the ERI index calculation were 4 098. According to the ERI index calculation results, 1 333 (32.53%) healthcare workers were in a state of balance between effort and reward, and 2 765 (67.47%) health workers were in a state of imbalance between effort and reward. The results of factor analysis showed that 46.00% of the job stress experienced by medical staff in Beijing can be attributed to ERI model. Extrinsic, intrinsic effort and work reward all had a direct impact on job stress (P

Published
2024
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23. Causal associations of air pollution with cardiovascular disease and respiratory diseases among elder diabetic patients

Author

Li, Zhiwei, Lv, Shiyun, Lu, Feng, Guo, Moning, Wu, Zhiyuan, Liu, Yue, Li, Weiming, Liu, Mengmeng, Yu, Siqi, Jiang, Yanshuang, Gao, Bo, Wang, Xiaonan, Li, Xia, Wang, Wei, Liu, Xiangtong, Guo, Xiuhua, Li, Zhiwei, Lv, Shiyun, Lu, Feng, Guo, Moning, Wu, Zhiyuan, Liu, Yue, Li, Weiming, Liu, Mengmeng, Yu, Siqi, Jiang, Yanshuang, Gao, Bo, Wang, Xiaonan, Li, Xia, Wang, Wei, Liu, Xiangtong, and Guo, Xiuhua

Abstract

Extensive researches have linked air pollutants with cardiovascular disease (CVD) and respiratory diseases (RD), however, there is limited evidence on causal effects of air pollutants on morbidity of CVD or RD with comorbidities, particularly diabetes mellitus in elder patients. We included hospital admissions for CVD or RD among elder ( ≥ 65 years) diabetic patients between 2014 and 2019 in Beijing. A time-stratified case-crossover design based on negative-control exposure was used to assess causal associations of short-term exposure to air pollutants with CVD and RD among diabetic patients with the maximum lag of 7 days. A random forest regression model was used to calculate the contribution magnitude of air pollutants. A total of 493,046 hospital admissions were recorded. Per 10 ug/m3 uptick in PM1, PM2.5, PM10, SO2, NO2, O3, and 1 mg/m3 in CO was associated with 0.29 (0.05, 0.53), 0.14 (0.02, 0.26), 0.06 (0.00, 0.12), 0.36 (0.01, 0.70), 0.21 (0.02, 0.40), −0.08 (−0.25, 0.09), and 4.59 (0.56, 8.61) causal effect estimator for admission of CVD among diabetic patients, corresponding to 0.12 (0.05, 0.18), 0.09 (0.05, 0.13), 0.05, 0.23 (0.06, 0.41), 0.10 (0.02, 0.19), −0.04 (−0.06, −0.01), and 3.91(1.81, 6.01) causal effect estimator for RD among diabetic patients. The effect of gaseous pollutants was higher than particulate pollutants in random forest model. Short-term exposure to air pollution was causally associated with increased admission of CVD and RD among elder diabetic patients. Gaseous pollutants had a greater contribution to CVD and RD among elder diabetic patients.

Published
2023

24. Short-term effects of carbon monoxide on morbidity of chronic obstructive pulmonary disease with comorbidities in Beijing

Author

Li, Zhiwei, Lu, Feng, Liu, Mengmeng, Guo, Moning, Tao, Lixin, Wang, Tianqi, Liu, Mengyang, Guo, Xiuhua, Liu, Xiangtong, Li, Zhiwei, Lu, Feng, Liu, Mengmeng, Guo, Moning, Tao, Lixin, Wang, Tianqi, Liu, Mengyang, Guo, Xiuhua, and Liu, Xiangtong

Abstract

The association between CO and chronic obstructive pulmonary disease (COPD) has been widely reported; however, the association among patients with type 2 diabetes mellitus (T2DM) or hypertension has remained largely unknown in China. Over-dispersed generalized additive model was adopted to quantity the associations between CO and COPD with T2DM or hypertension. Based on principal diagnosis, COPD cases were identified according to the International Classification of Diseases (J44), and a history of T2DM and hypertension was coded as E12 and I10-15, O10-15, P29, respectively. A total of 459,258 COPD cases were recorded from 2014 to 2019. Each interquartile range uptick in CO at lag 03 corresponded to 0.21% (95%CI: 0.08%–0.34%), 0.39% (95%CI: 0.13%–0.65%), 0.29% (95%CI: 0.13%–0.45%) and 0.27% (95%CI: 0.12%–0.43%) increment in admissions for COPD, COPD with T2DM, COPD with hypertension and COPD with both T2DM and hypertension, respectively. The effects of CO on COPD with T2DM (Z = 0.77, P = 0.444), COPD with hypertension (Z = 0.19, P = 0.234) and COPD with T2DM and hypertension (Z = 0.61, P = 0.543) were insignificantly higher than that on COPD. Stratification analysis showed that females were more vulnerable than males except for T2DM group (COPD: Z = 3.49, P < 0.001; COPD with T2DM: Z = 0.176, P = 0.079; COPD with hypertension: Z = 2.48, P = 0.013; COPD with both T2DM and hypertension: Z = 2.44, P = 0.014); No statistically significant difference could be found between age groups (COPD: Z = 1.63, P = 0.104; COPD with T2DM: Z = 0.23, P = 0.821; COPD with hypertension: Z = 0.53, P = 0.595; COPD with both T2DM and hypertension: Z = 0.71, P = 0.476); Higher effects appeared in cold seasons than warm seasons on COPD (Z = 0.320, P < 0.001). This study demonstrated an increased risk of COPD with comorbidities related to CO exposure in Beijing. We further provided important information on lag patterns, susceptible subgroups, and sensitive seasons, as well as the characteristi

Published
2023

27. Overall and gender-specific associations between marital status and out-of-hospital coronary death during acute coronary events: a cross-sectional study based on data linkage in Beijing, China

Author

Deng, Qiuju, primary, Long, Ying, additional, Guo, Moning, additional, Wang, Miao, additional, Sun, Jiayi, additional, Lu, Feng, additional, Chang, Jie, additional, Su, Yuwei, additional, Hu, Piaopiao, additional, Zhao, Dong, additional, and Liu, Jing, additional

Published
2022
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28. The association between ozone and ischemic stroke morbidity among patients with type 2 diabetes in Beijing, China

Author

Liu, Xiangtong, primary, Li, Zhiwei, additional, Zhang, Jie, additional, Guo, Moning, additional, Lu, Feng, additional, Xu, Xiaolin, additional, Deginet, Aklilu, additional, Liu, Mengmeng, additional, Dong, Zhaomin, additional, Hu, Yaoyu, additional, Liu, Mengyang, additional, Li, Yutong, additional, Wu, Mengqiu, additional, Luo, Yanxia, additional, Tao, Lixin, additional, Lin, Hualiang, additional, and Guo, Xiuhua, additional

Published
2022
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29. Acute Effects of Metrological Factors on Cerebrovascular Diseases among Type2 Diabetes Patients: case crossover evidence from Beijing, China

Author

Aklilu, Deginet, primary, Li, Zhiwei, additional, Wang, Tianqi, additional, Feng, Wei, additional, Li, Xia, additional, Tao, Lixin, additional, Wang, Wei, additional, Guo, Moning, additional, Jiang, Yanshuang, additional, Tamirat, Anteneh, additional, Liu, Xiangtong, additional, and Guo, Xiuhua, additional

Published
2022
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30. Intramedullary Verse Extramedullary Fixation with Mortality and Readmission Rates in Older Patients with Intertrochanteric Fracture: A Cohort Study Based on Beijing and USA Data

Author

Zhang, Gongzi, primary, Zhang, Shuwei, additional, Liu, Miao, additional, Wang, Xiang, additional, Peng, Ye, additional, Shi, Bin, additional, Luo, Yang, additional, Guo, Moning, additional, Zheng, Jianpeng, additional, Lu, Feng, additional, Wei, Zaihua, additional, Su, Jianting, additional, Liu, Jianchao, additional, Cao, Zuo, additional, Luo, Shicheng, additional, Chen, Haobin, additional, Yi, Danhui, additional, Sun, Tao, additional, Wang, Feifei, additional, Lv, Faqin, additional, Hu, Ying, additional, Zhang, Hui, additional, and Zhang, Lihai, additional

Published
2022
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31. Causal Associations of Air Pollution with Cardiovascular Disease and Respiratory Diseases Among Elder Diabetic Patients

Author

Li, Zhiwei, primary, Lv, Shiyun, additional, Lu, Feng, additional, Guo, Moning, additional, Wu, Zhiyuan, additional, Liu, Yue, additional, Li, Weiming, additional, Liu, Mengmeng, additional, Yu, Siqi, additional, Jiang, Yanshuang, additional, Gao, Bo, additional, Wang, Xiaonan, additional, Li, Xia, additional, Wang, Wei, additional, Liu, Xiangtong, additional, and Guo, Xiuhua, additional

Published
2022
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32. Trends and Inequalities in the Incidence of Acute Myocardial Infarction among Beijing Townships, 2007–2018

Author

Chang, Jie, primary, Deng, Qiuju, additional, Guo, Moning, additional, Ezzati, Majid, additional, Baumgartner, Jill, additional, Bixby, Honor, additional, Chan, Queenie, additional, Zhao, Dong, additional, Lu, Feng, additional, Hu, Piaopiao, additional, Su, Yuwei, additional, Sun, Jiayi, additional, Long, Ying, additional, and Liu, Jing, additional

Published
2021
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34. Acute effect of particulate matter pollution on hospital admissions for stroke among patients with type 2 diabetes in Beijing, China, from 2014 to 2018

Author

Liu, Xiangtong, primary, Li, Zhiwei, additional, Guo, Moning, additional, Zhang, Jie, additional, Tao, Lixin, additional, Xu, Xiaolin, additional, Deginet, Aklilu, additional, Lu, Feng, additional, Luo, Yanxia, additional, Liu, Mengmeng, additional, Liu, Mengyang, additional, Sun, Yue, additional, Li, Haibin, additional, and Guo, Xiuhua, additional

Published
2021
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35. Short-term effects of gaseous pollutants on cause-specific cerebrovascular disease among patients with type 2 diabetes: case-crossover evidence from Beijing, China

Author

Liu, Xiangtong, primary, Li, Zhiwei, additional, Guo, Moning, additional, Lu, Feng, additional, Deginet, Aklilu, additional, Liu, Mengmeng, additional, Xu, Xiaolin, additional, Luo, Yanxia, additional, Hu, Yaoyu, additional, Li, Yutong, additional, Wu, Mengqiu, additional, Liu, Mengyang, additional, Tao, Lixin, additional, and Guo, Xiuhua, additional

Published
2021
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38. Operative Treatment Strategies for Intertrochanteric Fracture: A Population-Based Cohort Study

Author

Zhang, Gongzi, primary, Liu, Miao, additional, Zhang, Shuwei, additional, Wang, Xiang, additional, Hu, Ning, additional, Peng, Ye, additional, Shi, Bin, additional, Luo, Yang, additional, Guo, Moning, additional, Zheng, Jianpeng, additional, Lu, Feng, additional, Wei, Zaihua, additional, Su, Jianting, additional, Liu, Jianchao, additional, Cao, Zuo, additional, Sui, Yi, additional, Luo, Shicheng, additional, Chen, Haobin, additional, Yi, Danhui, additional, Sun, Tao, additional, Wang, Feifei, additional, Hu, Ying, additional, Lv, Faqin, additional, Zhang, Hui, additional, and Zhang, Lihai, additional

Published
2021
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48. Hospitalization Pattern, Inpatient Service Utilization and Quality of Care in Patients With Alcohol Use Disorder: A Sequence Analysis of Discharge Medical Records.

Author

Han, Xueyan, Jiang, Feng, Zhou, Huixuan, Needleman, Jack, Guo, Moning, Chen, Yin, Liu, Yuanli, and Tang, Yilang

Subjects
ALCOHOLISM, HOSPITAL care, HOSPITAL patients, MEDICAL care, MEDICAL quality control, MEDICAL records, SEQUENCE analysis, ACQUISITION of data methodology
Abstract

Aims To identify and group hospitalization trajectory of alcohol use disorder (AUD) patients and its associations with service utilization, healthcare quality and hospital-level variations. Methods Inpatients with AUD as the primary diagnosis from 2012 to 2014 in Beijing, China, were identified. Their discharge medical records were extracted and analyzed using the sequence analysis and the cluster analysis. Results Eight-hundred thirty-one patients were included, and their hospitalization patterns were grouped into four clusters: short stay (n  = 565 (67.99%)), mean psychiatric length of stay in 3 years: (32.25 ± 18.69), repeated short stay (n  = 211 (25.39%), 137.76 ± 88.8 days), repeated long stay (n  = 41 (4.93%), 405.44 ± 146.54 days), permanent stay (n  = 14 (1.68%), 818.14 ± 225.22 days). The latter two clusters (6.61% patients) used 37.26% of the total psychiatric hospital days and 33.65% of the total psychiatric hospitalization expenses. All the patients in the permanent stay cluster and 41.77% of the patients in the short stay cluster were readmitted at least once within 3 years. Two-hundred thirty-four patients (28.16%) were admitted at least once for non-psychiatric reasons, primarily for diseases of circulatory and digestive systems. Cluster composition varied significantly among different hospitals. Conclusion Hospitalization pattern of patients with AUD varies greatly, and while most (>2/3) hospitalizations were short stay, those with repeated long stay and permanent stay used more than one third of the hospital days and expenses. Our findings suggest interventions targeting at certain patients may be more effective in reducing resource utilization. [ABSTRACT FROM AUTHOR]

Published
2020
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50. Study on the time distribution of admission for acute myocardial infarction in Beijing from 2007 to 2009

Author

Sun Jiayi, Zhao Dong, Wang Wei, Zheng Jian-Peng, Qi Yue, Xie Xueqin, Guo Moning, Wei Zaihua, Wang Miao, Liu Jing, Liu Jun, and Zhang Xiuying

Subjects
Pediatrics, medicine.medical_specialty, Beijing, Admission time, business.industry, Emergency medicine, Medicine, Time distribution, cardiovascular diseases, Myocardial infarction, Cardiology and Cardiovascular Medicine, business, medicine.disease
Abstract

Objective To explore the monthly, 24 solar terms and weekly distribution of admission for acute myocardial infarction (AMI) and whether the case-death of AMI is a different between weekday and weekend in Beijing. Methods The data of this study came from the “Beijing Acute Myocardial Infarction Surveillance Platform” including 34 589 equal or greater than 25-year-old AMI inpatients whose households were registered in Beijing and hospitalised between 2007 and 2009. The International Classification of Diseases (Tenth Revision) codes used for identifying patients with AMI were I21 and I22. The date of admissions were divided into months and weeks according to the Gregorian calendar, and split into the 24 solar terms based on the traditional Chinese calendar. Results There were 988 (32 AMI per day) AMI patients hospitalised in Beijing each month between 2007 and 2009. The number of hospitalised AMI had a cyclical variation according to the change of months, 24 solar terms and week. The monthly distribution identified the highest number of admissions in November (40 per day) and the lowest in July (29 per day). The number of admissions was highest from the cold dew to the beginning of beginning of spring and lowest from the end of heat to the beginning of white dew (40 vs 25 per day) among the 24 solar terms. The peak number of admissions occurred on monday and the lowest number on saturday (38 vs 26 per day). The overall case fatalities of AMI inpatients were not significantly different between patients hospitalised during the weekend and during the weekday (10.4% vs 9.9%, p=0.159). Conclusion The admission time of AMI patients has a cyclical variation according to the month, solar terms and week. The number of AMI admissions would increase significantly after holiday. The patterns of time distribution of admission should be considered in healthcare resource allocation.

Published
2011

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