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Welsh Government
Data Provider: Welsh Government Management Information Unique Patient Estimates
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[Collapse]WalesClick here to sortWales
Click here to sortBetsi Cadwaladr University Health BoardClick here to sortHywel Dda University Health BoardClick here to sortSwansea Bay University LHBClick here to sortCardiff and Vale University Health BoardClick here to sortCwm Taf Morgannwg LHBClick here to sortAneurin Bevan University Health BoardClick here to sortPowys Teaching Health Board
Mar-2022127,34462,25076,75494,90484,10796,6045,700547,663
Jun-2022137,42466,81079,946100,95684,36799,9496,089575,541
Jul-2022140,47268,20780,341102,77085,393101,5216,357585,061
Aug-2022140,64568,93580,341102,83986,936102,3836,474588,553
Sep-2022141,44269,28679,916101,95887,740103,6206,701590,663
Oct-2022141,18369,58479,600100,96287,800103,1066,848589,083
Nov-2022141,12169,51077,960100,47887,114102,9816,838586,002
Dec-2022139,40468,15776,85798,40386,180101,7386,694577,433
Jan-2023140,28367,78175,69698,27685,799101,4216,355575,611
Feb-2023138,32467,66374,91098,90285,971101,5716,576573,917
Mar-2023139,35468,01675,01198,86585,232102,4447,072575,994
Apr-2023Figures for Betsi Cadwaladr University (BCU) health board are not directly comparable before and after April 2023. See statistical quality information for details.135,25468,42975,494101,25685,145104,8947,410577,882
May-2023134,64968,05675,556103,05284,808103,7947,442577,357
Jun-2023136,01268,28075,947104,74984,611104,3537,599581,551
Jul-2023136,03368,33376,521106,82383,887106,5418,131586,269
Aug-2023135,62768,23976,917107,53284,199105,6677,698585,879
Sep-2023135,56469,40776,334107,86383,949106,0207,662586,799
Oct-2023135,93069,75375,808109,69983,937106,5527,413589,092
Nov-2023134,47569,32774,668110,19384,265105,8447,192585,964
Dec-2023134,64367,59274,502110,28884,385105,5516,875583,836
Jan-2024135,41367,44674,846111,12684,849106,0446,726586,450
Feb-2024136,99467,41775,339113,24885,238106,6516,751591,638
Mar-2024139,88167,06575,938114,16185,552109,3447,122599,063
Apr-2024142,14466,78276,543115,85985,600108,9227,003602,853
May-2024145,08767,40278,222116,26086,788110,6707,079611,508
Jun-2024146,71767,16477,971117,25886,427112,7527,052615,341
Jul-2024148,33667,10078,028118,28986,577111,3796,960616,669
Aug-2024148,80767,42178,341118,12387,470112,0246,982619,168
Sep-2024150,00566,86778,157119,05286,559110,7136,818618,171
Oct-2024150,34966,09978,345119,68786,761112,3986,672620,311

Metadata

Title

Unique Patient Estimates

Last update

19/12/2024 19/12/2024

Next update

23/01/2025

Publishing organisation

Welsh Government

Source 1

Welsh Local Health boards

Contact email

stats.healthinfo@gov.wales

Designation

Management information

Geographical coverage

Wales

Languages covered

English and Welsh

Data licensing

You may use and re-use this data free of charge in any format or medium, under the terms of the Open Government License - see http://www.nationalarchives.gov.uk/doc/open-government-licence

General description

This table provides estimated numbers of individual patients on Referral to Treatment (RTT) waiting lists in Wales by local health board.

Frequency of publication

Monthly

Data reference periods

March 2022 onwards

Statistical quality

Estimates are based on management information provided by Welsh Local Health Boards. Management information are not assessed against the Code of Practice for statistics. Though the principles of the Code of Practice have been applied, these data are not subject to the level of quality assurance applied to accredited official statistics.

The methods used by the health boards to estimate numbers of individual patients on RTT waiting lists are different, reflecting the different underlying administrative systems in use. In some cases, health boards have confirmed that their methods enable all patients to be counted, and with no duplication, meaning the figures are expected to be very accurate. In other cases, it is known that some patients are not included in the count - for example because they are not recorded on the same systems as other patients - or that there is a possibility of some duplication. The most significant example of this is in Hywel Dda University health board, where it is not possible to include patients waiting for diagnostic services or therapies. These patients account for around 10% of the total RTT pathways provided by Hywel Dda. Other examples of over and under-coverage are expected to have a very small impact on the figures.

Betsi Cadwaladr University (BCU) local health board implemented an improved method for estimating unique patients which was applied to data from April 2023. This means figures for BCU before and after April 2023 are not directly comparable. The new method had the impact of reducing the estimates for BCU by around 4,000 compared with the previous method. This was around 3% of the BCU figure. The impact on Wales level figures was small, causing a reduction of less than 1% compared with the previous methodology.

Keywords

waiting times; health; treatment; hospital