ABSTRACT
Background and Objectives: Hospitals, due to their role in improving the health of populations, should have adequate organizational health. Organizational health is critical for organizational productivity. This study aimed to evaluate the organizational health of university hospitals of Isfahan, Iran
Methods: This descriptive-analytic and cross- sectional study was conducted in 7 hospitals in 2015. A researcher-made questionnaire with 18 dimensions and 54 questions was used to gather data. A total of 283 hospital employees were randomly selected from seven hospitals. Data analysis was performed through SPSS21 and using descriptive statistics such as frequency, percent, mean +/- SD as well as inferential statistics like regression and ANOVA
Results: The mean score Mean score of organizational health in studied hospitals was 3.08 +/- 0.63 from 5. Organizational health was good in one hospital, moderate in five hospitals and poor in one hospital. Dimensions of morale, planning and formality had the highest and dimensions of justice, decision- making and control had the lowest scores. Intra-ward relationships, efficient use of resources, adaptability, leadership and independence showed the most effect on organizational health. Specialty hospitals had better organizational health compared to general hospitals. There was significant relationship between managers' work experience and organizational health
Conclusion: University hospitals of Isfahan have moderate organizational health and hospital managers should apply necessary activities for improvement of organizational health
ABSTRACT
Human papillomaviruses (HPVs) are small DNA tumor viruses that replicate and assemble exclusively in the nucleus. Thus their proteins, including E6, must carry nuclear localization signals (NLSs) to enter the nucleus. To analyze and to predict the nuclear localization signals and several post translational modifications by bioinformatics analysis, we obtained 91 E6 protein sequences from available databases. To investigate the localization of these sequences, we used Hum-Ploc software. Homology and alignment of sequences were performed by Blast software and Multalin server respectively. Prediction of N-glycosylation and serine, threonine and tyrosine phosphorylation sites of HPV E6 protein sequences was accomplished with NetNGlyc and NetPhos software. Out of 91 types, the NLSs of 29 types were predicted by signal-3L and signal-CF software. We tried to predict the NLSs of remaining HPV E6 proteins according to the homology of the already predicted NLSs. However, because of considerable variation between E6 protein sequences, we could not classify the NLSs in monopartite or bipartite. According to the results, all NLSs of HPV E6 proteins could be assigned to 11 categories. NLSs of several HPV E6 protein sequences were also determined by experimental studies. Overall, different types of HPV E6 protein in same category show approximately similar pattern in post translational modifications such as N-glycosylation and phosphorylation. Some HPV early genes, such as E6, are known to act as oncogenes that promote tumor growth and malignant transformation. Thus more detailed recognition of nuclear localizing sequences and nucleocytoplasmic transport pathway can play a key role in prevention and treatment of HPV infection and related cancers. The results also show that bioinformatics technology can direct and simplify experimental studies.