SHPA proudly supports the Research Toolkit series, which aims which aims to support members in conducting and publishing their research. This series is coordinated by the SHPA Research Leadership Committee, and hence shares the insights and experience of our most research-passionate members. If you’re keen to make a difference to patient care, not just in your daily practice, but in improving practice itself, then this series is for you.
A guide on how to approach qualitative data analysis in pharmacy practice research, offering practical tips and considerations to enhance the quality and rigor of your study. Unlike quantitative analysis (aka ‘statistics’), which focuses on numerical data, qualitative analysis involves systematically organising, interpreting, and making sense of participant perspectives, and ideas expressed primarily as text.
A systematic review aims to identify relevant studies, appraise them, and then summarise the results using a reproducible search strategy. For help in deciding if a systematic review is the correct approach for your query, please refer to ‘Writing a systematic review: Part 1’ by Liu et al.
Drawing on the experience of SHPA's most research-passionate members, this article provides a comprehensive guide for tackling your first scientific research paper.
Literature reviews are important but often misunderstood academic exercises. This article guides readers through the different forms of literature reviews before focusing specifically on the systematic review. Providing helpful tips and resources, this guide is essential reading for those interested in writing their own systematic review.
Surveys are commonly used in many areas of health research. Accurate, reproducible survey results lead to new discoveries and expand our knowledge in the health sciences. Applying better practices to our research can get us well on the way to achieving such a feat.
If you have been involved in collecting or managing data for research studies, chances are you have heard the word ‘REDCap’ being thrown around.
If you are conducting medical research and want to find whether there is a relationship between your variables in your study, you can use a statistical method called linear regression to analyse your data.
