Modeling the Recovery of Elective Waiting Lists Following COVID-19: Scenario Projections for England
This article has been Reviewed by the following groups
Listed in
- Evaluated articles (ScreenIT)
Abstract
Article activity feed
-
-
SciScore for 10.1101/2021.12.13.21267732: (What is this?)
Please note, not all rigor criteria are appropriate for all manuscripts.
Table 1: Rigor
NIH rigor criteria are not applicable to paper type.Table 2: Resources
No key resources detected.
Results from OddPub: We did not detect open data. We also did not detect open code. Researchers are encouraged to share open data when possible (see Nature blog).
Results from LimitationRecognizer: We detected the following sentences addressing limitations in the study:Turning to limitations, although a satisfactory model fit to historical data has been possible for waiting list size and 18-week performance, there is a less convincing approximation to numbers waiting over 52 weeks (Section 2.3). Further work may be used to explore whether greater accuracy could be achieved with the use of additional …
SciScore for 10.1101/2021.12.13.21267732: (What is this?)
Please note, not all rigor criteria are appropriate for all manuscripts.
Table 1: Rigor
NIH rigor criteria are not applicable to paper type.Table 2: Resources
No key resources detected.
Results from OddPub: We did not detect open data. We also did not detect open code. Researchers are encouraged to share open data when possible (see Nature blog).
Results from LimitationRecognizer: We detected the following sentences addressing limitations in the study:Turning to limitations, although a satisfactory model fit to historical data has been possible for waiting list size and 18-week performance, there is a less convincing approximation to numbers waiting over 52 weeks (Section 2.3). Further work may be used to explore whether greater accuracy could be achieved with the use of additional complexity classes, beyond the two considered here. It should also be acknowledged that while patient complexity is captured, the current model does not appreciate referral priority and its influence on treatment order. Future investigators may wish to explore the extent to which incorporation of this may improve model accuracy. However, given the various ways that different specialties and clinics prioritise treatment for waiting patients (Hurst & Siciliani, 2003; Curtis et al, 2010), it is likely to be difficult to capture priority within models applied at a national, specialty-wide level.
Results from TrialIdentifier: No clinical trial numbers were referenced.
Results from Barzooka: We did not find any issues relating to the usage of bar graphs.
Results from JetFighter: We did not find any issues relating to colormaps.
Results from rtransparent:- Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
- Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
- No protocol registration statement was detected.
Results from scite Reference Check: We found no unreliable references.
-