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Master Programme in Health Evidence and Decision

General information

Official Code: 9522
Acronym: MEDS
Description: HE CYCLE OF studies has THE DURATION OF 4 semesters, corresponding TO 120 ects credits, consisting OF A curriculum component, WITH 60 ects credits AND THE development OF A dissertation WITH 54 ects credits associated.

Certificates

  • Master in Health Evidence and Decision - Specialisation in Clinical Investigation. (120 ECTS credits)
  • Master in Health Evidence and Decision - Specialisation in Health Services Investigation. (120 ECTS credits)
  • Master in Health Evidence and Decision - Specialisation in Evaluation of Health Technologies. (120 ECTS credits)
  • Curso de Mestrado em Evidência e Decisão em Saúde (60 ECTS credits)

Courses Units

Bioestatistic

EDS29 - ECTS

Scientific Communication and Publication

EDS05 - ECTS

Explain the fundamentals of scientific communication and publication;

Describe the main formats of communication, scientific publication in health;

Caracterize the scientific paper

Describe the peer-review process;

Explain the contribution of the peer review process as a guarantee of the quality of scientific research;

Wright scientific articles, abstracts, oral communications, posters and research protocols;

Describe the main criteria for structuring and wrighting a master thesis and a PhD thesis;

Present oral communications;

Perform slides and posters.

Ethics and Law

EDS04 - ECTS

Evidence and Decision

EDS03 - ECTS

Describe the concept and framework of decision in health care and biomedical research, according to the research topic;

Describe the basic structure of decision in health care;

Perform a step-by-step approach to decision in health care;

Identify options and alternatives;

Integrate evidence in decision analysis process.

Informatics in Health Research

EDS06 - ECTS

Describe the concepts of data, information and knowledge;

Characterize the main data support systems, and the main interfaces for data collection;

Use the main databases, database management systems, interfaces to query and data summary, the Internet and Web technologies and key emerging technologies in the planning and implementations of research in health;

Characterize the departmental and hospital information systems;

Use electronic medical records, coding and classification systems and support systems for clinical decision in the planning and implementations of health research;

Describe the main standards of communication in Medical Informatics.

Research Methods in Health Sciences

EDS01 - ECTS

Health Technology Assessment

EDS09 - ECTS

Biostatistics II

EDS08 - ECTS This curricular unit (CU) aims to provide students with theoretical and practical knowledge of applying statistical modeling methods adapted to the objectives of clinical research, technology assessment and research in health services. The student should develop the necessary skills for the correct application and interpretation of the methodologies presented through statistical software.

Intervention Studies - Clinical Trials

EDS22 - ECTS

Diagnostic Studies

EDS17 - ECTS

Studies of etiology, risk and prognosis

EDS16 - ECTS Describe the concepts of aetiology, risk and prognosis,
Describe different types of study and their inherent limitations,
Describe the different ways of presenting results and assess their importance,
Describe and apply the different methods that can be used to develop multivariable models

Intervention Studies - Clinical Trials

EDS18 - ECTS

Studies of Evidence Synthesis

EDS20 - ECTS

Clinical Research

EDS11 - ECTS

Health Services Research

EDS10 - ECTS

Describe the major characteristics and scope of Health Services research (HSR)

List general subject areas of HSR

Describe the relationships between HSR and other research types and advocate linkages between them

Summarize the characteristics of research methods commonly used in HSR and identify when they are useful

Identify aspects of quality of care and its assessment

Identify different categories of secondary data sources and types of secondary analysis

Examine the strengths and weaknesses of secondary data analysis

Distinguish experimental and quasi-experimental study designs and give examples

Recognize the major types of survey research

Describe the concepts of measurement and ways to improvement its processes

Describe psychometric properties of a measurement instrument

Locate sources of secondary data for HSR

Review and critique HSR literature

Apply basic measurement theory to plan instruments for data collection

Use basic tools of Quality

Write a peer review report

Laboratory Research

EDS14 - ECTS

Qualitative Research

EDS15 - ECTS

Data analysis techniques

EDS25 - ECTS

Probabilistic graphical models

EDS24 - ECTS

Thesis, project and traineeship protocols I

EDS23 - ECTS Provide the students with the required skills to identify a research problem in health and to create or integrate available evidence to solve it.

Thesis, project and traineeship

EDS28 - ECTS

Thesis, project and traineeship protocols II

EDS26 - ECTS Provide the students with the required skills to identify a research problem in health and to create or integrate available evidence to solve it.

Thesis, project and traineeship protocols III

EDS27 - ECTS Provide the students with the required skills to identify a research problem in health and to create or integrate available evidence to solve it.
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