Factors Influencing User Satisfaction with Information Systems: A Systematic Review.

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.

Strengthening College Students' Mental Health Knowledge, Awareness, and Helping Behaviors: The Impact of Active Minds, a Peer Mental Health Organization.

OBJECTIVE: To examine the relationship between college students' familiarity with and involvement in Active Minds, a student peer organization focused on increasing mental health awareness, decreasing stigma, and affecting mental health knowledge, attitudes, and behaviors. METHOD: Students (N = 1,129) across 12 California colleges completed three waves of a web-based survey during the 2016-2017 academic year to assess familiarity with and involvement in Active Minds and mental health attitudes, behaviors, and perceived knowledge. Fixed-effects models assessed relations between changes in organization familiarity and involvement and changes in mental health-related outcomes over time overall and stratified by students' baseline engagement (ie, familiarity/involvement) with Active Minds. RESULTS: Overall, increased familiarity with Active Minds was associated with increases in perceived knowledge (0.40; p < .001) and decreases in stigma over time (-0.33; p < .001). Increased involvement was associated with increases in perceived knowledge (0.40; p < .001) and a range of helping behaviors. Associations differed by students' baseline engagement with Active Minds. For students with low engagement, increased familiarity with Active Minds was associated with decreased stigma and improved perceived knowledge. For students with moderate baseline engagement, increasing involvement with Active Minds was associated with increases in helping behaviors (eg, providing emotional support, connecting others to services) over time. CONCLUSION: Student peer organizations' activities can improve college student mental health attitudes and perceived knowledge and significantly increase helping behaviors. Such organizations can complement more traditional programs and play an important role in improving the campus climate with respect to mental health.

Exploring Complexity of Deliberate Self-Poisoning through Network Analysis.

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.

Innovate or die!: Genomic data and the electronic health record (EHR).

The sharing of patient data, such as test results, is important for appropriately treating patients. Inclusion of this data allows for clinical error prevention, particularly if a new clinician becomes involved. If genetic information, including family history or genetic test results, is not accessible to treating physicians, care may suffer. Innovation is needed to address the problem of lack of access to important data, such as genomic test results, not structured to fit into an EHR. Without data integration care will, and does suffer. Innovations, albeit long in the making (Blatt, 2013), are improving the care of patients. The next step forward is better utilization of available information, including genomic test results.

Disrupted prenatal maternal cortisol, maternal obesity, and childhood wheeze. Insights into prenatal programming.

RATIONALE: Exploring prenatal factors influencing childhood wheeze may inform programming mechanisms. OBJECTIVES: We examined associations among prenatal maternal cortisol profiles, maternal obesity, and repeated wheeze up to age 2 years (n = 261). METHODS: Salivary cortisol was collected five times per day over 3 days at 29.0 ± 4.9 weeks gestation. Mothers were categorized as obese (body mass index ≥ 30 kg/m(2)) versus nonobese (body mass index < 30 kg/m(2)). Using logistic regression, we examined the influence of log-transformed cortisol metrics (level at each time point, morning rise, diurnal and afternoon slopes) and obesity on wheeze adjusting for covariates. Linear mixed models were implemented to examine associations between cortisol trajectories and wheezing. Interactions between maternal cortisol and obesity were considered. MEASUREMENTS AND MAIN RESULTS: Mothers were primarily minority (56.5% Hispanic, 24.1% African American), 61% had less than or equal to 12 years of education, 34% were obese, and 8.4% of children had repeated wheeze. An interquartile range increase in mean log cortisol at bedtime (odds ratio, 2.2; 95% confidence interval, 1.09-4.09) and maternal obesity (odds ratio, 3.43; 95% confidence interval, 1.26-9.35) were independently associated with wheeze. Linear mixed models revealed an association between a flatter afternoon slope (slower decline in log cortisol per hour) and repeated wheeze in children of obese mothers (children with [-0.017 change] and without [-0.061 change] wheeze [P = 0.009 for time × wheeze interaction]), but not in children of nonobese mothers (with [-0.050 change] and without [-0.061 change] wheeze [P = 0.51]). CONCLUSIONS: Maternal prenatal cortisol disruption and obesity were independently associated with children's wheeze. Obese women with adverse cortisol profiles were most likely to have children with repeated wheeze.