ObjectiveTo study the status-quo of doctors' workload in China, analyze its influential factors, and to provide references for relevant policy-making. MethodsA multi-centre cross-sectional study was conducted. Clinical doctors who had worked for more than 6 months from 46 hospitals in 10 provinces were enrolled. The included doctors' workload was measured with working time per week and number of daily service patients. SPSS 20.0 software was used to analyze the data. ResultsA total of 1 537 doctors were included. The number of daily service outpatients and that of daily service inpatients per doctor were 22.17±20.95 person and 13.24±11.13 h, respectively. Working time per week were 54.06±10.76 h. The significant influential factors of the number of daily service outpatients were gender, employment relationship, hospital grade, age, professional title, and location; while those of the number of daily service inpatients were hospital grade, professional title, and location. Besides, type of department, hospital grade, doctor's age, education background and location were closely related to working time per week. ConclusionChinese doctors' workload is very heavy especially for long-time work. Hospitals and health departments should develop some target measures to reduce doctor's workload, so as to ensure medical safety.
ObjectiveTo explore the quality of life (QOL) of rural cognitive function impaired elderly in Guangyuan city and analysis the influencing factors, in order to provide evidence for improving the QOL of rural cognitive function impaired elderly. MethodsBy stratified cluster sampling method, Mini-Mental State Examination (MMSE) was adopted in the cognitive function impaired screening in Guangyuan rural area of Sichuan province in 2012, then we used SF-12 questionnaire to evaluate the QOL of those rural elderly (more than 60 years old) whose cognitive function was impaired. ResultsA total of 270 rural cognitive function impaired elderly were selected from 735 old people. The results of QOL assessment showed that:the mean of physical component summary (PCS) was 37.93±11.55, and the mean of mental component summary (MCS) was 44.07±13.14. Gender, age, education levels, economic situation of the selfassessment, chronic disease, being engaging in physical labour and daily life care were correlated with the score of QOL. ConclusionIn order to improve their QOL, we should help the elderly with cognitive function impaired and focus on prevention and individual treatment; their special difficulties should be fully considered when making the policy of health care and social security.