Summary of the content of the module / component:

1. Diagnosis and principles of surgical treatment

2. Diagnosis and treatment of injuries from pelvis to...

Trauma of the Spine and Lower Limb (SURG0019)

Summary of the content of the module / component:

1. Diagnosis and principles of surgical treatment

2. Diagnosis and treatment of injuries from pelvis to feet

3. Multidisciplinary care of elderly fracture patients

4. Management of nonunion, malunion and infection of fractures

Aims of the component: The aim of the module is to teach the principles of management of lower limb injuries, including the issues of orthogeriatric co-management in elderly trauma patients and the management of nonunion.

Intended learning outcomes:

1. Be able to describe and discuss the patterns of injury that occur in the lower limb.

2. Be able to describe and discuss the treatment options for injuries to the spine and lower limbs.

3. Be able to describe and discuss the biology of nonunion, including infected nonunion and how to achieve healing.

4. Be able to describe and discuss holistic care to elderly patients with low-energy fractures.

The module aims to give students a solid understanding of the principles and practice of quantitative research methods. The emphasis is on the application of...

The module aims to give students a solid understanding of the principles and practice of quantitative research methods. The emphasis is on the application of statistical models to large-scale datasets and the interpretation of the results. It builds on the first-year modules Introduction to Social Science Research and Discovering Qualitative and Quantitative Methods. During the first six weeks, the module introduces the principles and practice of data handling, a review of probability and statistics, comparison of two groups with t- and non-parametric tests, comparison of multiple groups with ANOVA/ANCOVA, and measures of association. The last four weeks treat the regression framework which is a generalization of the methods discussed in the first six weeks. Within the regression framework, the analysis of binary outcomes is also discussed (i.e., logistic regression). Through weekly tutorials, students gain hands-on experience with the data analysis software (SPSS) and of applying quantitative methods to real-world datasets.