User satisfaction has been considered as the measure of information system effectiveness success. User satisfaction is difficult to define but is considered an evaluation construct. Globally health organizations, particularly hospitals, invest a huge amount of money on information system projects. If hospital information systems (HISs) are to be successful, factors influencing or related to user satisfaction should be taken into account at the time of designing, developing or adopting such systems. The current study aimed to provide a comprehensive review of factors related to user satisfaction with information systems. The researchers systematically searched PubMed, Science Direct, and IEEE electronic databases for articles published from January 1990 to June 2016. A search strategy was developed using a combination of the following keywords:  “model,” “user satisfaction,” “information system,” “measurement,” “instrument,” and “ tool.” Reported dimensions, factors, and their possible influence on user satisfaction with information systems were extracted from the studies wherever was possible. Overall factors influencing user satisfaction with information systems can be categorized in seven dimensions: Information quality, system quality, vendor support quality, system use, perceived usefulness, user characteristics, and organizational structure& management style. If all these factors are considered properly in the process of developing, designing, implementing, or purchasing information systems, the higher user satisfaction with the system will be likely. Otherwise, it would end up with unsatisfied users that will finally contribute to the system failure. [GMJ.2020;9:e1686]

The purpose of this research was to examine the complexity of circumstances that result in deliberate self-poisoning cases. For the purposes of this paper, the cases were patients that presented for care and were admitted to the specialty hospital in Northwest of Iran. The research examined the problems preceding deliberate self-poisoning and the interrelations among them by applying network analysis methods. The network was scored for degrees of centrality and betweenness centrality. Structural analysis of network also was conducted using block modelling. The results showed that family conflicts had the highest score for degree of centrality among women, while the highest score for degree of centrality among men belonged to those dealing with drug addiction. Analysis for degree of betweenness centrality revealed that drug addiction had the highest score among men, whereas the highest score for women on betweenness centrality was related to physical illness. Structural analysis of the network showed differences in role that various problems played in intentional self-poisoning. The findings from this research can be used by public health authorities to create prevention programs that address the problems leading to deliberate self-poisoning.

Introduction:User satisfaction has been considered a measure of information system effectiveness and as a surrogate for the system success. User satisfaction, which is a difficult, intangible, and elusive concept to define, is considered as an evaluation construct. Diversity of definition reveals high dimensionality of user satisfaction with information systems. The aim of this study was to determine predicting factors of user satisfaction with hospital information systems. Methods: Different factors related to the user satisfaction with information systems was extracted through conducting a systematic review. A questionnaire was designed based on the findings from the systematic review. After assessing validity of questionnaire by experts and the final confirmation, questionnaires were administered to a random sample of users with experience of working with HIS. The sample consisted of 384 users of the systems operated in the university hospitals in East Azerbaijan province. Structural equation modeling was deployed to define the association among different factors and user satisfaction with hospital information systems. Analysis was carried out through using Amos software. Results: Overall, eight domains of factors related to the user satisfaction with HIS were confirmed (statistically significant) by structural equation modeling. They include user characteristics (CR=5.043), information quality (CR=4.963), system quality (CR=3.891), service quality (CR=5.039), system usefulness (CR=3.683), computer anxiety (CR=4.963), organizational structure and managing style (CR=4.648), and system use (CR=4.963). In each domain, importance of different items was modelled as well. Conclusion: This study offers insights for those in charge of developing or adopting hospital information systems about critical aspects that should be taken into account in order to improve the user satisfaction with HIS toward the system success.