Quality assuring your data
The validity of your findings using the Outcomes Star™ will only be as good as the quality of the data that you collect. We recommend the following measures to ensure that your data is meaningful:
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Training: all workers using the Star should be trained and should have a good understanding of the ladder of change underpinning the Star. This is essential to ensuring meaningful readings.
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Supervision: managers should review the Stars completed by workers during supervision sessions to ensure that the readings are accurate and identify where further support is needed.
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Team meetings: workers should use the Star when reviewing individual service users in team meetings. As well as providing a quick introduction to the service user's current position it also provides an opportunity to build the team’s understanding of how the Star scoring works.
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File auditing: during routine file auditing managers should ensure that Star readings are being taken and that they are accurate.
