Number of prior episodes and the presence of depressive symptoms are associated with longer length of stay for patients with acute manic episodes

Background: Few studies have analyzed predictors of length of stay (LOS) in patients admitted due to acute bipolar manic episodes. The purpose of the present study was to estimate LOS and to determine the potential sociodemographic and clinical risk factors associated with a longer hospitalization. Such information could be useful to identify those patients at high risk for long LOS and to allocate them to special treatments, with the aim of optimizing their hospital management. Methods: This was a cross-sectional study recruiting adult patients with a diagnosis of bipolar disorder (Diagnostic and Statistical Manual of Mental Disorders, 4th edition, text revision (DSM-IV-TR) criteria) who had been hospitalized due to an acute manic episode with a Young Mania Rating Scale total score greater than 20. Bivariate correlational and multiple linear regression analyses were performed to identify independent predictors of LOS. Results: A total of 235 patients from 44 centers were included in the study. The only factors that were significantly associated to LOS in the regression model were the number of previous episodes and the Montgomery-Åsberg Depression Rating Scale (MADRS) total score at admission (P < 0.05). Conclusions: Patients with a high number of previous episodes and those with depressive symptoms during mania are more likely to stay longer in hospital. Patients with severe depressive symptoms may have a more severe or treatment-resistant course of the acute bipolar manic episode.

Enhancing the Digital Student Experience postcards

The original ‘Enhancing the digital student experience’ cards have been updated to incorporate the findings from the HE Digital Student consultation and also from the emerging findings from the FE Digital Student project. These ‘Digital Student’ cards are designed to support conversations about students’ digital experience

Case study: mCommunity improving the experience of at risk learners

Case study on how Pembrokeshire College is improving the experience of at risk learners.

Case study: Changing the learner experience using everyday technologies

Case study on a student at East Durham College who was awarded a TechDis ambassador award in 2014 for progressing to level 3 of the animal care diploma using tools and resources in the Moodle VLE.

Jisc NUS student digital experience benchmarking tool

A benchmarking tool developed by Jisc in collaboration with the National Union of Students (NUS) and the Student Engagement Partnership (TSEP). The tool is a starting point for discussions between staff and students about what is working in the digital learning environment and what they can work on together to improve it.