Making Data Count is a series of bite-sized learning modules on the value of analysing your routinely-collected data and what it can do for you and your service.
Module 1: Why analyse routinely collected data?
This first video in the series introduces the concept of 'routinely collected data' and sets the scene for the remaining five modules. This 6 minute video aims to help you to understand:
Module 2: Analysing routinely collected data for quality improvement and research
This 5 minute video has been developed to aims to support you to understand:
Key reference: Twycross A and Shorten A (2014) Service evaluation, audit and research: what is the difference? Evidence-Based Nursing 17(3). pp. 65–66. DOI: 10.1136/eb-2014-101871.
Module 3: Basic principles of data fitness-for-purpose and data quality
The third video in the series aims to help you to:
Key reference: National Institute for Health and Care Excellence (2022.) NICE real-world evidence framework. Available at: https://www.nice.org.uk/corporate/ecd9/chapter/overview (accessed 26 October 2022).
Module 4: What are your questions and how will you get the answers?
Building on modules 1-3, module 4 has been developed to assist you with formulating questions to ask when interrogating your routinely collected data. In 5 minutes, the video aims to help you to:
Key reference: Richardson WS, Wilson MC, Nishikawa J, et al. (1995) The well-built clinical question: a key to evidence-based decisions. ACP Journal Club 123(3). A12. DOI: 10.7326/ACPJC-1995-123-3-A12.
Module 5: Analysing and interpreting your data
The penultimate module in the series is designed to assist you with interpreting the data that you have analysed. It shows:
Module 6: Action planning
The final module walks you through applying the concepts learnt in modules 1-5 to create an action plan for your own data analysis.
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