HMPR2003 Data Analysis in the Context of Healthcare - Management, Policy and Research
Aims and Objectives
To develop your understanding of quantitative data in the context of healthcare policy, management and research (HPMR). The module gives an introduction in healthcare data from different sources and analytical procedures to analyse research question in the context of health care policy and management. The module is designed to apply analytical techniques like regression and meta-analyses to explore research questions in the healthcare context with statistical software. After successfully finishing this module you will demonstrate the ability to:
Having successfully completed this module you will be able to:
- Prepare and manage data for analysis
- Analyse administrative, patient and financial data, and be aware of their strengths and limitations
- Appreciate the advantages and constraints of common techniques to analyse healthcare context
- Develop, employ and present a meta-analysis
- Critically reflect on data analysis
- Understand the purpose of outcome tools and understand analyses with which to critique them
This module will build iteratively upon last year’s module, moving away from basic statistical knowledge towards more applied statistics, useful for your future careers in health policy, research and management. Indicative content will include epidemiology including screening and risk; the use of outcome tools in health research and care including the concepts of validity and reliability; Systematic reviews including meta-analyses.
Learning and Teaching
Teaching and learning methods
The module is designed to support your learning of practical data analytical techniques in the context of health policy, management & research. The teaching and learning activities consist of lectures, self-learning and analyses sessions. Formative feedback from the tutor and student peers will be a key component of the learning environment to ensure that you can move forward in your learning. You will develop relevant and meaningful analyses in the context of health policy, management & research. The module will give you the opportunity to develop your analytical and quantitative skills in a state of the art statistical software environment. The module is taught by research active staff with diverse background in research and policy.
|Wider reading or practice||26.5|
|Completion of assessment task||80|
|Preparation for scheduled sessions||54|
|Total study time||187.5|
Resources & Reading list
Gelman A, and Hill J (2006). Data analysis using regression and multilevel/hierarchical models.
Diamond I and Jefferies J (2001). Beginning Statistics: An Introduction for Social Scientists.
Field A (2009). Discovering statistics using SPSS.
Dancey, C., Reidy, J. & Rowe, R. (2012). Statistics for the Health Sciences: A Non-Mathematical Introduction.
Streiner DL and Norman GR (2004). Health Measurement Scales, a practical guide to their development and use.
Pallant J (2007). SPSS Survival Manual: A step by step guide to data analysis using SPSS.
Bland M (1995). An Introduction to Medical Statistics.
Everitt BS (1999). Chance Rules: An informal guide to probability, risk and statistics.
Field A and Hole G (2003). How to design and report experiments.
Walker D-M (2014). An Introduction to Health Services Research: A practical Guide.
McKillup S (2005). Statistics Explained. An introductory guide for the life sciences.
Formative Assessment Formative assessment activities and subsequent feedback will be a key component of lectures, seminars and workshops. This might involve presenting your ideas verbally or in written form, either as an individual or in a group. This formative assessment is not compulsory but is designed to ensure that you can move forward in your learning and so support the successful completion of your summative assessments. Summative Assessments These assessments are compulsory and linked to whether you pass this module and to your progression on the degree programme.
Repeat type: External
Costs associated with this module
Students are responsible for meeting the cost of essential textbooks, and of producing such essays, assignments, laboratory reports and dissertations as are required to fulfil the academic requirements for each programme of study.
In addition to this, students registered for this module typically also have to pay for:
Books and Stationery equipment
Students may wish to purchase texts to support their learning, however, the library is well stocked with suitable texts.
Please also ensure you read the section on additional costs in the University’s Fees, Charges and Expenses Regulations in the University Calendar available at www.calendar.soton.ac.uk.