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PHO clinical events recorded

This quarterly clinical event analysis report gives you a retrospective overview of the work carried out across the PHO over the last two years. You will know this report as CPI2. View a sample report (pdf 765kb) 

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

The information is drawn from your practices' Practice Management Systems. 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: that is all contained in the status sheet.

It will not be a direct match to IPIF because

  • that 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
  • there are age range constraints for IPIF which are not included in this information
  • targets are recorded as percentages not as actual numbers

 

This spreadsheet contains

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

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 by READ Codes) onto the PMS system.  Use this graph to ascertain which months the most and least work was done. The PHO may recall particular reasons for this.  For example, August was very high following the July clinical meeting presentation to practices of the PHO's current status across the indicators.

Diabetes ever recorded graph

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

Use this graph 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 shows, 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 this 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 help you to determine the timing of strategies to improve the number of diabetes annual reviews.

CVD risk assessment graph

This graph shows, 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 (PMS) to identify those who have had a CVD risk assessment.

Use this 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 help 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). The accuracy of the graph will depend on the results having been uploaded to screening by each practice.

Use this graph to identify, by month, the number of women who have had 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 a low level may also be an indicator that data received from the National Screening Unit is not being 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 the practice management system ( PMS). Mammography is initiated by the National Breast Screening Unit, not the practice, so the accuracy and reliability of this graph will be as good as the accuracy of the inbox document mapping within the PMS.

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

All indicators by practice spreadsheets

These spreadsheets show all the indicators by practice in the one sheet. They also  count the number of recordings or screenings carried out over the past two years. They show these by month but are not graphed. Each practice will receive their individual graphs in their practice spreadsheet for each clinical indicator.

Use these spreadsheets to identify possible areas to check for system issues at the practice level. For example, low numbers of mammography may be an indicator that the practice is not uploading the results from the outbox into the PMS system.