| Literature DB >> 32930797 |
Nathanael Macdonald1, Caterina Clements2, Anshul Sobti1, Daniel Rossiter1, Ashwin Unnithan3, Nicholas Bosanquet3.
Abstract
BACKGROUND: In April 2020, Covid-19 brought NHS elective procedures to a halt. The aim of this paper is to produce accurate forecasts on the building backlog, highlight the state of waiting lists currently and propose solutions required to prevent a public health crisis.Entities:
Keywords: emergency planning; health services; planning
Year: 2020 PMID: 32930797 PMCID: PMC7543523 DOI: 10.1093/pubmed/fdaa155
Source DB: PubMed Journal: J Public Health (Oxf) ISSN: 1741-3842 Impact factor: 2.341
Provisional Monthly Hospital Episode Statistics: admitted patient care data with addition of non-emergency admissions requiring a procedure estimate,
| Admission method | ||||
|---|---|---|---|---|
| Month | FAEs | Elective | Emergency | Other |
| September | 1 367 608 | 696 475 | 512 001 | 159 132 |
| August | 1 408 713 | 723 751 | 523 269 | 161 693 |
| July | 1 447 287 | 747 669 | 535 964 | 163 654 |
| June | 1 412 865 | 735 677 | 519 277 | 157 911 |
| May | 1 453 043 | 750 794 | 540 049 | 162 200 |
| April | 1 360 043 | 694 957 | 512 100 | 152 986 |
FAE’s by admission method
| 2019 | Finished consultant episodes | FCEs with a procedure | % FCEs with a procedure | Ordinary episodes | Day case episodes | Day case episodes with a procedure | % Day case episodes with a procedure | Finished admission episodes | Emergency admissions | Non-emergency admission and procedure |
|---|---|---|---|---|---|---|---|---|---|---|
| Oct 19 | 1 840 455 | 1 009 412 | 54.8% | 1 166 818 | 673 637 | 600 033 | 89.1% | 1 525 178 | 565 326 | 526 438 |
| Sep 19 | 1 725 979 | 1 015 939 | 58.9% | 1 105 315 | 620 664 | 582 690 | 93.9% | 1 428 181 | 535 056 | 525 708 |
| Aug 19 | 1 713 472 | 1 012 009 | 59.1% | 1 108 339 | 605 133 | 568 563 | 94.0% | 1 414 682 | 532 720 | 520 903 |
| Jul 19 | 1 846 274 | 1 101 264 | 59.6% | 1 172 130 | 674 144 | 633 149 | 93.9% | 1 526 850 | 563 945 | 574 353 |
| Jun 19 | 1 709 597 | 1 010 989 | 59.1% | 1 102 241 | 607 356 | 571 396 | 94.1% | 1 414 451 | 531 335 | 522 240 |
| May 19 | 1 800 193 | 1 060 876 | 58.9% | 1 161 064 | 639 129 | 601 609 | 94.1% | 1 483 667 | 560 004 | 544 326 |
| Apr 19 | 1 725 301 | 1 004 293 | 58.2% | 1 121 169 | 604 132 | 569 322 | 94.2% | 1 413 927 | 546 124 | 505 146 |