Faster Diagnosis and Treatment for Cancer: Assessing Patient Pathways Using a Panel Regression Analysis of the English National Cancer Registration Data.

Objectives: Timely treatment is crucial for patients with cancer, affecting both their experience and outcomes. This study examined events that shorten or extend cancer pathways.

Methods: A cohort of breast, lower gastrointestinal, lung, and prostate cancers diagnosed between 2015 and 2016 in England were identified using cancer registration data.

Waiting times in emergency departments: exploring the factors associated with longer patient waits for emergency care in England using routinely collected daily data.

Background: Long lengths of stay (also called waiting times) in emergency departments (EDs) are associated with higher patient mortality and worse outcomes.

Objective: To add to the literature using high-frequency data from a large number of hospitals to analyse factors associated with long waiting times, including exploring non-linearities for 'tipping points'.

Methods: Multivariate ordinary least squares regressions with fixed effects were used to analyse factors associated with the proportion of patients in EDs in England waiting more than 4 hours to be seen, treated and admitted or discharged.