Workshop

In this workshop, participants will be introduced to the basic ideas behind adopting the use of qualitative research methods in public health. Through hands-on activities and real-life examples, participants will learn how to design a qualitative research study to meet broader research aims and objectives, the different ways to collect data and be equipped with simple data analysis and interpretation skills.

One-day workshop on pharmacogenomics: Participants will gain proficiency in interpreting pharmacogenetic testing results, understanding the pharmacogenomics best practice advisories and clinical decision support, and using this to provide appropriate individualised patient-specific advice.

This Professional Certificate covers Total Workplace Safety and Health (WSH) as the Singapore framework to promote worker safety, occupational health, and wellness.

Gain hands-on experience in designing partitioned survival model and dynamic transmission modelling in R as well as discrete event simulation in Simul8 for health technology assessment.

Explore topics such as resource mobilisation for national immunisation programmes, use of evidence to inform vaccine policy development and more.

Implementation Science study aims to narrow the gap between research and practice as well as to address need for engaging communities in translational process.

The workshop aims to provide an overview of how to conduct and use HTA to support decision-making about technology and health policy at the national level.

As more and more low- and middle-income countries (LMICs) commit themselves to achieving Universal Health Coverage (UHC), it is timely to understand the current policy environment and implementation aspects of immunisation programmes as they relate to UHC policies in the LMICs.

In an environment with constrained resources, understanding the value for money of a health intervention (e.g., medication, medical device) could support the process for funding and resource allocation decisions.Several analytical approaches and data sources can be used to assess the ‘value for money’ of health interventions. Although aggregate data are often used to populate decision analytic models to show the value for money of the intervention of interest, they remove variability within groups and rely on certain assumptions.

In today’s context, with the emergence of real-world evidence, person-level data (such as those obtained from administrative databases, clinical trials, or observational studies) are becoming more accessible. This workshop will introduce how we could use person-level data to conduct an economic evaluation of a health intervention. Regression techniques can be applied to a health economics analysis and used to estimate incremental cost-effectiveness ratio and incremental net benefit. The use of regression analysis is attractive for a number of reasons such as the fact that it allows the adjustment of potential confounders and the investigation of whether the value for money of health interventions varies across population subgroups. This workshop will illustrate the concepts and potential roles of person-level data in health technology assessment.