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ABSTRACT: Objectives
Our aim was to measure ambulance sickness absence rates over time, comparing ambulance services and investigate the predictability of rates for future forecasting.Setting
All English ambulance services, UK.Design
We used a time series design analysing published monthly National Health Service staff sickness rates by gender, age, job role and region, comparing the 10 regional ambulance services in England between 2009 and 2018. Autoregressive Integrated Moving Average (ARIMA) and Seasonal ARIMA (SARIMA) models were developed using Stata V.14.2 and trends displayed graphically.Participants
Individual participant data were not available. The total number of full-time equivalent (FTE) days lost due to sickness absence (including non-working days) and
SUBMITTER: Asghar ZB
PROVIDER: S-EPMC8483034 | biostudies-literature | 2021 Sep
REPOSITORIES: biostudies-literature