Time trend analysis comes to PINCER

Time trend analysis comes to PINCER

PRIMIS’ smart new way to see the impact of PINCER and highlight local successes via time trend reports is now available in CHART Online.

Log in now to try out time trend reporting within the PINCER online views to see the functionality and results for yourself.

These reports give a clear picture of your PINCER intervention successes and identify areas that require further improvement. 

Time trend analysis is only available for practices that have submitted at least two data uploads to CHART Online. Non-time trend reports show all practices that have submitted data once (at least), so this variation must be taken into consideration when comparing time trends to other report types.

The most useful figure from the time trend reports is the total number (or subtotal, depending on the report selected) at risk within the ‘change from baseline’ column. This is the change in the number of patients deemed at-risk now as compared to the initial data upload and reflects the intervention from the pharmacists to reduce prescribing errors. 

Mock-up example of a time trend report for one CGGs for all indicators (total number of at risk change circled):

Kerry Oliver, MD of PRIMIS, commented: “With this new time trend reporting we can easily see the reduction in at risk numbers, indicating fewer patients now at risk of medication error. The provision of a time trend is the most common request from those taking part in PINCER and we’re delighted to be able to now offer this feature.”

How to view PINCER time trends

Log in to the PINCER Implementation Resource Centre and select ‘View the PINCER analyses’ and then the three new time trends appear in the report drop down list.

* Please note the Latest and Change from baseline figures include patients that have been recently registered to the practice population or whom have been newly diagnosed since the baseline results were run. PINCER searches across all the current practice population to find at-risk patients and therefore patient numbers shown may fluctuate.