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Health condition at first fit note and number of fit notes: a longitudinal study of primary care records in south London

Authors :
Emmert Roberts
Matthew Broadbent
Matthew Hotopf
Sharon Stevelink
Stephani Hatch
Mark Ashworth
Ira Madan
Ewan Carr
C Polling
Sarah Dorrington
Source :
BMJ Open, Vol 11, Iss 3 (2021)
Publication Year :
2021
Publisher :
BMJ Publishing Group, 2021.

Abstract

Objectives The fit note replaced the sick note in the UK in 2010, with the aim of improving support for patients requiring sickness absence, yet there has been very little research into fit note use. This study aims to describe number of fit notes by condition, to improve our understanding of patterns of fit note use in primary care. Previous fit note research has relied on extracting diagnoses directly from fit notes, rather than extracting information from clinical records. In this paper, we extract information from clinical records to explore demographic factors and conditions associated with number of fit notes issued.Design This is a longitudinal study of clinical data. We analysed individual-level anonymised data from general practitioner consultations, including demographic information and condition recorded at first fit note. The latter encompassed diagnoses, individual symptoms and psychosocial issues.Setting A database called Lambeth DataNet, containing electronic clinical records on 326 415 adults (ages 16–60) from all 45 general practices within the London Borough of Lambeth from 1 January 2014 to 30 April 2017.Participants Our analytical sample contained 40 698 people with a condition recorded at first fit note.Primary outcome measure Predicted number of fit notes in the period January 2014–April 2017Results Of all studied diagnostic groups, mental illness had the highest predicted number of fit notes (n=3.3; 95% CI: 3.1 to 3.4) after controlling for demographic factors and long-term conditions. The highest predicted number of fit notes for any condition subgroup was among patients presenting for drug and/or alcohol misuse (n=4.5; 95% CI: 4.1 to 4.8).Conclusions For the first time, we show drug and/or alcohol misuse at first fit note are associated with the highest number of fit notes. Research is needed to understand the trajectories of individuals at highest risk of long-term sickness absence, in particular, people presenting with drug and/or alcohol misuse.

Subjects

Subjects :
Medicine

Details

Language :
English
ISSN :
20446055
Volume :
11
Issue :
3
Database :
Directory of Open Access Journals
Journal :
BMJ Open
Publication Type :
Academic Journal
Accession number :
edsdoj.76b8865a71d415eaf7cf2383bb8034e
Document Type :
article
Full Text :
https://doi.org/10.1136/bmjopen-2020-043889