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Practice clinical events recorded

This quarterly clinical event analysis report gives you a retrospective overview of the work carried out across the practice over the last two years. You will know this report as CPI2. View a sample report (pdf 700kb) 

A description of each sheet follows.

 

The graphs present, at a glance, the trends for the following key clinical indicators: smoking status recorded, diabetes recorded, diabetes annual reviews, CVD risk assessment, cervical screening, breast screening.

 

The information is drawn from your Practice Management System.

  • It counts the number of recordings/screenings actually completed in each month.
  • One patient may be counted multiple times if they had multiple screenings.
  • There is no assessment of percentages in this sheet: that is all contained in the status sheet.

 

It will not be a direct match to IPIF because

  • IPIF information is drawn from national screening databases e.g., National Cervical Screening Unit, National Breast Screening Unit
  • for IPIF, each patient is counted and identified as screened/recorded or not, so is only counted once
  • targets are recorded as percentages not as actual numbers

 

This spreadsheet contains

  • a contents sheet
  • a summary sheet with all the numbers for all the indicators
  • a graph of work completed for the last two years for each indicator

Summary

This details the number of events for each indicator for each month for the past two years.

It provides a grand total of the work that has been done across each of the clinical indicators on a single page.

Graphs: The graphs show the work that has been done and in which months over the last two years. They are not based on percentages but present the trends.

A description of each sheet follows.

Smoking status recorded graph

This graph presents, by month, the number of smoking status recorded entered (either directly or indirectly as READ Codes) onto the PMS system.

Use the graph to tell you which months the most and least work was done. You may recall particular reasons for this. For example, August was very high and this followed the July clinical meeting presentation of current status across the indicators.

Diabetes ever recorded graph

This graph shows, by month, the number of people with diabetes that your practice recorded (either directly or indirectly as READ Codes) over the past two years.

Use it to determine the month(s) that recordings were high and low. Alongside your knowledge of significant events around that time, you will gain understanding as to what may support improvements. For example, March was a very low month but we know there were many staff away sick that month.

Diabetes annual reviews graph

This graph presents by month, the number of people who have had a diabetes annual review over the past two years.

The data is gathered from diabetes get checked screening within the PMS.

Use the graph to identify the months that significant numbers of annual reviews were either carried out or not. Alongside your knowledge of the number, age and ethnicity of people with diabetes recorded and understanding of the particular work pressures at various times of the year, this will assist you to determine the timing of strategies to improve the number of diabetes annual reviews.

CVD risk assessment graph

This graph indicates, by month, the number of people who received a CVD risk assessment over the past two years.

The data uses the CVR code within the screening part in the Practice Management System to identify those who have had a CVD risk assessment.

Use the graph to identify the months that significant numbers of CVD risk assessments were either carried out or not. Alongside your knowledge of the eligibility, funding and staff available to support the risk assessments, this will assist you to determine the timing and nature of strategies and funding to improve the number of CVD risk assessments carried out.

Cervical screening graph

This graph shows, by month, the number of women aged 18-70 who have had a cervical smear in the last two years.

The data comes from the screening part of the Practice Management System (PMS). Its accuracy will depend on the level to which the results have been saved to screening within the PMS.

Use the graph to identify, by month, the number of women who have had a cervical screening. Alongside your knowledge of the number, age and ethnicity of eligible women and understanding of the particular work pressures at various times of the year, this will help you to determine the timing of strategies to improve the number of women who receive cervical screening.

Note that a low level may also be an indicator that data received from the National Screening Unit is not entered into the PMS.

Breast screening graph

This graph shows, by month, the number of women who have had a mammogram over the past two years.

The data comes from the screening part of your PMS. Mammography is initiated by the National Breast Screening Unit not the practice, so the accuracy and reliability of the graph will be as good as the accuracy of the inbox document mapping within the PMS.

The graph identifies, by month, the work by the Breast Screening Unit within your area rather than the work of your practice. Use the graph to indentify the particular months where there is either a high or low number of mammograms, bearing in mind the impact of accurate and consistent  data input into the PMS.