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Current chapter – Impact


This section summarises the impact of these changes on how you can interpret statistics within the NHS Talking Therapies Monthly Statistics Including Employment Advisors publication series.


Understanding the scale of impact

When trying to understand the impact of the changes to the submission windows, it is important to understand that the IAPT dataset is a large relational dataset that collects many millions of rows of data each month. In each case it should still be considered a trade-off between timeliness and completeness when assessing the impact of the change.


National level impacts

New referrals are a good proxy for understanding volumes of data as the referral table is required as part of any submission to the dataset and as such gives a good indication of overall coverage.

There were 144,074 new referrals (M001) reported in the May 2023 provisional window. This is compared to 146,659 new referrals in the May 2023 performance window. This represents a difference of 2,585 or 1.79%. This change is reported to be not significant based on Wilcoxon Signed-Rank Test (p value = 0.00627).

The majority of metrics in the publication are impacted to some degree. For some metrics, especially those where the national count is a small number, or where the metric is particularly volatile, the percentage change between submissions is more pronounced. This is illustrated in Table 1 which shows the top 10 percentage differences for metrics at England level in May 2023.

Table 1: Top 10 percentage differences for metrics at England level, May 2023

Measure ID Measure name Reporting period Provisional total Performance total Difference % difference
EA134 Maximum number of Employment Support contacts per referral for referrals ending in the month. May 2023 32 86 54 168.75%
EA108 EA incorrectly labelled follow up, but takes place during referral May 2023 0 2 2 100.00%
EA136 Number of referrals ending ES in the month that have not begun therapy May 2023 69 115 46 66.67%
EA001 Calculate proportion of referrals submitted in the month with an employment support contact that do not have employment status record within the referral start and end dates (or reporting period end date if referral end date not set). May 2023 2 3 1 50.00%
M063 Count of referrals that ended in the reporting period with an end code of 'Not known (Seen but not taken on for a course of treatment)' May 2023 1589 2,359 770 48.46%
M070 Count of referrals that ended in the reporting period with an end code of ‘Not Known (Seen and taken on for a course of treatment)’ May 2023 1846 2,713 867 46.97%
M1008 Count of attended and unplanned appointments in the reporting period with a consultation medium of Other (not listed) May 2023 9735 11,141 1,406 14.44%
M1009 Count of attended and unplanned appointments in the reporting period with an invalid or unrecorded consultation medium May 2023 45760 40532 -5228 11.42%
M013 Count of referrals with a referral request received date in the reporting period with a source of referral for mental health of 'Other Mental Health NHS Trust' May 2023 9 10 1 11.11%
M197 Count of referrals with an end date in the reporting period that finished a course of treatment and had no anxiety measures or General Anxiety Disorder scores recorded. May 2023 49 44 -5 10.20%

Table 2 below displays those metrics which show the biggest differences in absolute values. As illustrated by the table, just because the differences appear to be large, the percentage changes in these metrics are relatively small. It should be noted too that these metrics generally cover care contact appointments and employment statuses, both of which are recorded in large volumes in the IAPT dataset. There are around 650,000 care contacts recorded each month within NHS Talking Therapies and therefore while there is a difference of 13,481 for number of appointments in the Reporting period, this only represents a difference of 2%.

The aim would be for these differences to reduce as more providers submit early and increase the quality of their submissions.

Table 2: Top 10 numerical differences for metrics at England level, May 2023

Measure ID Measure name Reporting period Provision table Performance table Difference % difference
M082 Count of appointments in the reporting period May 2023 664,049 677,530 13,481 2.03%
M089 Count of treatment appointments for referrals with an end date in the reporting period after at least two treatments May 2023 454,067 466,044 11,977 2.64%
EA035 Number of referrals submitted in the month that have not received an employment support appointment in the pathway or as a follow up May 2023 627,243 638,356 11,113 1.77%
M086 Count of appointments in the reporting period where attended or did not attend code is ‘Attended on time or, if late, before the relevant professional was ready to see the patient’ May 2023 490,402 500,864 10,462 2.13%
EA002 Counts the EmpStatus records submitted in the month that have valid EmployStatus May 2023 366,235 376,554 10,319 2.82%
EA021 Counts the EmpStatus records submitted in the month that have missing ESAInd May 2023 263,830 273,857 10,027 3.80%
EA029 Counts the EmpStatus records submitted in the month that have missing PIPInd May 2023 254,111 264,063 9,952 3.92%
EA009 Counts the EmpStatus records submitted in the month that have missing WeekHoursWorked May 2023 229,797 239,748 9,951 4.33%
EA025 Counts the EmpStatus records submitted in the month that have missing UCInd May 2023 247,123 257,010 9,887 4.00%
M1002 Count of attended and unplanned appointments in the reporting period with a consultation medium of Telephone May 2023 229,321 237,785 8,464 3.69%

On average, for most metrics there is a difference of between zero and five percent. 260 out of the 296 measures analysed showed a percentage difference between 0% and 5% at national level in May 2023. There are several metrics that have a difference of greater than five percent and as such it is important to understand where changes are driven by the volatility of measures, provider behaviours or where the percentage change is related to other factors. To aid users in understanding this, an appendix has been added to show which metrics are significantly different based on Wilcoxon Signed-Rank Test and can be found as Appendix A.


Provider level impacts

At provider level there are disparities in the submission patterns between groups of providers and individual providers. When looking at differences between submissions for individual providers it is also important to recognise that there are other underlying reasons that a submission may differ between the provisional and performance window. For example, there may be IT issues which prevent a successful provisional submission. Equally, differences between the provisional and performance window are likely to reduce over time as the focus of the publication moves towards the data submitted in the first month following activity.

Despite this, based on the May 2023 data there does appear to be differences between groups of providers. Generally, most NHS Trusts show a smaller difference when comparing data in the provisional and performance windows. For NHS Trusts 249 out of the 296 measures analysed showed a percentage difference between 0% and 2% at national level in May 2023. In contrast, data for independent providers differs more widely. For Independent Healthcare Providers only 50 out of the 296 measures analysed showed a percentage difference between 0% and 2% at national level in May 2023.

A breakdown of M001, People in contact with services at the end of May 2023 is shown in Table 3 for each Organisation Type. Organisations have been grouped and the total percentage change for all providers in the group between the provisional and performance windows is shown

Table 3: Percentage difference for selected organisation types for M001, People in contact with services at the end of May 2023 between the provisional and performance windows.

Organisation type Number of organisations Provisional type Performance total Percentage difference 
Care trust 7 6310 6285 0.4%
Independent sector health care provider 62 34215 35630 4.1%
NHS trust  77 103155 104345 1.2%
Non-NHS organisation  6 395 400 1.5%

 

Figures have been rounded to the nearest 5. Percentages have been rounded to the nearest single decimal place.


This situation is reflected across most of the metrics. M001 has been used here as a proxy to indicate overall differences in the submissions as it is a key metric in the monthly publication. There will be other areas where differences maybe more pronounced, but these will likely differ between individual providers.


Last edited: 25 October 2023 3:36 pm