Taught course

Health Technology Assessment

Institution
University of Glasgow · College of Medical, Veterinary and Life Sciences
Qualifications
MScPGDipPCert

Entry requirements

You should normally have a 2.1 Honours degree in a relevant quantitative subject. In exceptional circumstances, consideration will be given to those with a relevant professional qualification who have experience in the field of health technology assessment. A background in health or medicine is not required and we welcome applications from other academic disciplines. Further information regarding academic entry requirements: student.recruitment@glasgow.ac.uk

Months of entry

January, September

Course content

Key facts
  • Online distance learning
  • MSc: 12 months full-time; 24/36 months part-time
  • PgDip 12 months full-time; 24/36 months part-time
  • PgCert 12 months full-time; 24/36 months part-time
  • Contact: hta@glasgow.ac.uk

Health Technology Assessment (HTA) is the assessment of relevant evidence and knowledge on the effects and consequences of healthcare technologies. It contributes to priorities and decisions in relation to prevention, diagnosis, treatment and rehabilitation. This Masters in HTA focuses on the production, critical appraisal and use of scientifically rigorous research evidence, applied to a range of health-related areas.

Why Glasgow?

  • Our postgraduate taught courses provide a solid grounding in all the major disciplines within the field of Health Technology Assessment. This is unique within Scotland, and is one of few such programmes worldwide.
    • Our faculty are world-class experts in their fields, who are active not only in research and teaching, but also involved in HTA decision-making at a national level (e.g. through NICE, SHTAG).
    • Our teaching is research-led. The courses have been developed to reflect the latest academic research and up-to-date challenges in HTA decision-making.
    • You will gain a comprehensive understanding and hands-on experience of the interconnected disciplines that are core to Health Technology Assessment. These include health economics, statistics, evidence synthesis, modelling and patient-reported outcome measures.
    • During a course, from week to week you will interact with your teachers and fellow students using online discussion boards. Your teachers will direct and observe the discussion, and respond to student questions about the course content.
    • You will have the opportunity to collaborate on a research project under the supervision of a member of academic staff or an external supervisor.

Programme Structure

Core courses

    • HTA: Policy and Principles (20 credits)
    • Statistical methods for HTA and evidence based medicine (20)
    • Health economics for HTA (20)

    Optional courses

    • Foundations of decision analytic modelling (10)
    • Evidence synthesis (20)
    • Outcome measurement and valuation for HTA (10)
    • Analysis of linked health data (20)
    • HTA in a global context (20)
    • Survival analysis for HTA (10)
    • Qualitative research methods for HTA (10)

    Optional course (delivered as face-to-face in Glasgow)

    • Decision analytic modelling methods for economic evaluation (20)

Core Courses

HTA: Policy and Principles (semester 1; 10 weeks; 19th Sep - 2nd Dec 2016)
Purpose: This course will provide both a theoretical and practical understanding of the policy and principles behind, and the techniques involved with, the process of health technology assessment.
Aims: This course aims to provide students with a critical awareness of the broader policy context into which health technology assessment is located as well as a critical understanding of the theoretical underpinnings, principles and techniques of health technology assessment.
Delivery: Semester 1; 10 week online course comprising 10 recorded lectures and 10 accompanying practical exercises. Each week the academic lead will contribute to and answer questions on a discussion board.
Course Co-ordinator: Jim Lewsey

Statistical methods for HTA and evidence based medicine (semester 2; 10 weeks; 9th Jan - 24th Mar 2017)
Purpose: This course will deliver the fundamentals of statistical methodology that underpin health technology assessment and evidence based medicine.
Aims: This course aims to equip students with the necessary statistical skills so they can analyse and interpret data that commonly arise from health technology assessments and evidence based medicine more generally. Furthermore, to provide students with the necessary background knowledge and experience so they can critically appraise published work from a statistical perspective.
Content: summarising data, Frequentist and Bayesian approaches, probability and probability distributions, measures of effect size, linear and logistical regression, fundamentals of survival analysis.
Course Co-ordinator: Jim Lewsey

Health economics for HTA (semester 2; 10 weeks; 10th Apr - 23rd Jun 2017)
Purpose: This course will deliver the fundamentals of health economics and the practical elements of economic evaluation that are integral to health technology assessment.
Aims: This course aims to provide students with a critical understanding of health economics, its value and limitations. It will familarise students with the application of economic theory to health and health care issues, the principles of health economics and the techniques of economic appraisal.
Content: key concepts of economics, economic characteristics of health care, economic evaluation techniques, sensitivity analysis, health economics informing decision making.
Course Co-ordinator: Kathleen Boyd

Optional courses

Decision analytic modelling methods for economic evaluation (semester 1;5 day face-to-face course in Glasgow (26th - 30th Sep 2016))
Purpose: This course will teach the methods of decision analytic modelling that provides a coherent framework to inform decision making under certainty.
Aims: This course aims to equip students with the necessary skills so they can design and conduct decision analytic modelling.
Content: role of modelling in health care decision making, designing decision making problems, decision trees, Markov models, probabilistic models, expected value of perfect information.
Seminar: Semester 2
Course Co-ordinator: Andrew Briggs

Outcome measurement and valuation for HTA (semester 1; 5 weeks; 19th Sep - 21st Oct 2016)
Purpose: Outcomes measurement and valuation aims to provide students with a basic understanding of outcome measurement and valuation methodologies within HTA. The course presents the theory behind outcome measures and introduces practical techniques valuing health, non-health and process outcomes.
Aims: This course aims to provide students with a basic understanding of outcome measurement and valuation for the purposes of Health Technology Assessment. This course will familarise students with the application of economic theory to the measurement and valuation of outcomes for all types of economic evaluation framework as well as the practical steps involved.
Content: measuring health outcomes for economic evaluation, measuring and valuing health related quality of life, preference-based and non-preference based outcomes measures, valuing monetary outcomes in health context.
Course Co-ordinator: Emma McIntosh

Foundations of Decision Analytical Modelling (semester 2; 5 weeks; 20th Feb - 24th Mar 2017)
Purpose: This course will teach the methods of decision analytic modelling that provides a coherent framework to inform decision making under certainty.
Aims: This course aims to equip students with the necessary skills so they can design and conduct decision analytic modelling.
Content: role of modelling in health care decision making, designing decision making problems, decision trees, Markov models.
Course Co-ordinator: Andrew Briggs

Evidence synthesis (semester 2; 10 weeks; 10th Apr - 23rd Jun 2017)
Purpose: Evidence synthesis, including systematic review and meta-analysis provide important insight into the comparative effectiveness of health technologies based on a systematic appraisal of evidence.
Aims: This course aims to introduce the key concepts involved in the design and undertaking of systematic reviews and meta-analyses.
Content: role of evidence synthesis in HTA; systematic review; meta-analysis of pairwise, indirect and networked evidence; bias and heterogeneity, subgroups and meta-regression.
Course Co-ordinator: Olivia Wu

Analysis of linked health data (semester 2; 10 weeks; 10th Apr - 23 Jun 2017)
Purpose: This course will deliver core components of analysing routine administrative health data or linked data. It will cover information governance and disclosure control, as well as aspects of data managment, mainpulation and advanced methods of data analysis.
Aims: This course aims to equip students with the necessary analytical skills to analyse linked health care data and to be aware of issues around clinical and information governance relating to their use.
Content: information governance related to use of administrative health data, theoretical principles of data linkage methods, sources of measurement error, data management and manipulation of datasets with different structures, regression models for longitudinal health data.
Course Co-ordinator: Claudia Geue

HTA in a global context (semester 2; 10 weeks; 9th Jan - 24th Mar 2017)
Purpose: This course will cover HTA in different contexts, exploring geographical variation between high-income countries as well as looking more in-depth about how and why decision-making in healthcare may differ in low- and middle- income countries.
Aims: The course aims to equip students with the necessary skills to develop an understanding of HTA guidance and processes in different jurisdictions, to critique HTA in different contexts and to gain technical and analytical skills in the application of HTA, with a particular focus on low-and middle- income countries.
Content: differences in structure of health care and reimbursement systems, HTA in decision making from a global perspective, Disability Adjusted Life Years (DALYs) as health outcome measures, application of different methods in low and middle income countries (LMICs).
Course Co-ordinators: Zahidul Quayyum & Eleanor Grieve

Survival analysis for HTA (semester 2; 5 weeks; 9th Jan - 10th Feb 2017)
Purpose: This course will demonstrate how survival / time to event data is used to inform health economic analyses within health technology assessments.
Aims: This course aims to equip students wil the necessary statistical skills so they can analyse and interpret survival data that are commonly used in health economic analyses within health technology assessments.
Content: Kaplan-Meier method, Cox regression, parametric survival models, extrapolation, partitioning survival curves, survival model outputs used as inputs in decision modelling.
Course Co-ordinator: Jim Lewsey

Qualitative Methods in HTA (semester 1: 5 weeks; 31st Oct - 2nd Dec 2016)
Purpose: This course will enable students to explore the purpose and appropriate use of qualitative research methods in HTA, by focusing on stakeholder perspectives.
Aims: This course aims to expose students to the application of qualitative methods in conceptual modelling, informing trial design, contexts and measures, and how it can be used to maximise the impact. The course will provide students with an opportunity to collect and analyse some qualitative data.
Content: The course introduces basic orientations and epistemological research paradigms and related methodologies (including ethnography, action research and qualitative evidence synthesis), as well as methods for collecting and analysing qualitative data.
Course Co-ordinator: Hannah Hesselgreaves

Career Prospects

HTA has growing importance internationally for informing health care decision making and there is increasing demand for employees with HTA relevant skills. Outside of the field of HTA, students would be well equipped with qualitative and quantitative research skills for jobs in academia, the pharmaceutical industry, and Government Information Services/Statistical agencies.

Potential employers & roles

  • Academic/research centres or universities – undertake HTA research projects funded by HTA agencies, national research bodies or health technology companies to support reimbursement or develop HTA methods.
  • Private industry including pharmaceutical companies, bio-technology companies and health insurance companies – design and undertake evaluations (effectiveness and/or cost-effectiveness) for presentation to reimbursement agencies in support of health technology products.
  • Local or national government agencies, regulators, health service providers, international health organisations (e.g. WHO) – commission and review assessments submitted to support reimbursement of health technologies; undertake systematic reviews, evidence synthesis and evaluations to focus and direct health care policy; evaluate policy and programmes previously funded.
  • National or international consultancy companies – undertake HTA projects for governments, HTA agencies or industry clients.

Information for international students

For applicants whose first language is not English, the University sets a minimum English Language proficiency level. International English Language Testing System (IELTS) Academic module (not General Training): overall score 6.5; no sub-test less than 6.0. IBTOEFL: 92; no sub-test less than 20

Fees and funding

UK students
£10000
International students
£10000

http://www.gla.ac.uk/postgraduate/taught/healthtechnologyassessment/

Qualification and course duration

MSc

part time
24/36 months
full time
12 months

PGDip

part time
24/36 months
full time
12 months

PCert

full time
12 months
part time
24/36 months

Course contact details

Name
Enquiries
Email
hta@glasgow.ac.uk