Facilitator Handbook 2005 - PRIMIS
Share Embed Flag
Download ePaper

Facilitator Handbook 2005 - PRIMIS

Facilitator Handbook 2005 - PRIMIS Facilitator Handbook 2005 - PRIMIS

primis.nottingham.ac.uk
from primis.nottingham.ac.uk More from this publisher
30.11.2014 Views

PRIMIS Facilitator Handbook The MIQUEST Process 36 PRIMIS

Data Analysis, Interpretation and Feedback PRIMIS Facilitator Handbook Data Analysis, Interpretation and Feedback Background The use of MIQUEST in the PRIMIS process is twofold. Firstly, it provides a mechanism for the easy extraction of data recorded on a practice’s clinical system, enabling the practice to examine and improve data recording techniques. This method can be supplemented by using various analysis software tools such as CHART, the use of which is covered in a later module. Secondly, it enables practices to compare their data recording to that of other practices or against their own recording over time. In order to enable the effective use of MIQUEST, PRIMIS has developed several query sets. Each set has a different focus and is designed to meet a variety of needs. A key query set, and the one used most frequently, is the PRIMIS Data Quality set. This set has been designed to enable facilitators and participating practices to begin to identify areas where the data recorded on the clinical system is not of good quality: that is, it does not have the five characteristics of good quality listed in the box to the right. Five characteristics of good quality data • Completeness • Accessibility • Accuracy • Timeliness • Relevance The PRIMIS Data Quality query set is one of the most valuable sets in supporting information facilitators in their role. Facilitators run this set with all new practices joining the scheme, and repeat the run at regular intervals. Once a practice has identified the strengths and weaknesses of their data capture methods, they are then in a position to make improvements. The queries are intended to provide a basis for discussion and debate from which an action plan can be derived. By repeating data extractions at regular intervals, the practice will be able to demonstrate improvements over time and see the effectiveness of actions taken. The Training The training takes place over a half or full day and is run on an individual scheme basis. Data extracted from practices and submitted to PRIMIS by a scheme are analysed and reported back to the facilitator in an Excel format known as Rush. This format enables the facilitator to view the data in a variety of ways. Throughout the training, the facilitator is taken through their own practices’ data and shown how to use the analyses listed in the box below to identify where there are potential data quality issues. Analyses used in the PRIMIS Data Quality query set to highlight potential quality issues • Baseline prevalence • Risk factor recording • Apparent prevalence • Screening data recording • Comparison with proxy indicators • Data validity checks PRIMIS 37

<strong>PRIMIS</strong> <strong>Facilitator</strong> <strong>Handbook</strong><br />

The MIQUEST Process<br />

36 <strong>PRIMIS</strong>

logo

products

Resources

Company

Terms of service
Privacy policy
Cookie policy
Cookie settings
Imprint
Change language
Made with love in Switzerland
© 2024 Yumpu.com all rights reserved

Hooray! Your file is uploaded and ready to be published.

Saved successfully!

Ooh no, something went wrong!