Department of Psychological Medicine, King's College London Institute of Psychiatry Psychology and Neuroscience, London, UK
NIHR Maudsley Biomedical Research Centre, South London and Maudsley Mental Health NHS Trust, London, UK.
BMJ Open. 2021 Mar 26;11(3):e043889. doi: 10.1136/bmjopen-2020-043889.
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.
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.
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.
Our analytical sample contained 40 698 people with a condition recorded at first fit note.
Predicted number of fit notes in the period January 2014-April 2017 RESULTS: 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).
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.
Fit note(适任证明)于 2010 年在英国取代 sick note(病假条),旨在为需要请病假的患者提供更好的支持,但对 Fit note 的使用情况几乎没有研究。本研究旨在描述按病症开具的 Fit note 数量,以增进我们对初级保健中 Fit note 使用模式的了解。之前的 Fit note 研究依赖于直接从 Fit note 中提取诊断,而不是从临床记录中提取信息。在本文中,我们从临床记录中提取信息,以探讨与开具 Fit note 数量相关的人口统计学因素和病症。
这是一项临床数据的纵向研究。我们分析了来自全科医生就诊的个体水平匿名数据,包括人口统计学信息和首次开具 Fit note 时记录的病症。后者包括诊断、个体症状和心理社会问题。
一个名为 Lambeth DataNet 的数据库,包含了 2014 年 1 月 1 日至 2017 年 4 月 30 日期间来自伦敦兰贝斯区 45 家全科医生诊所的 326415 名成年人(年龄在 16-60 岁之间)的电子临床记录。
我们的分析样本包含了 40698 名在首次开具 Fit note 时记录病症的人。
2014 年 1 月至 2017 年 4 月期间预计开具 Fit note 的数量。
在所研究的所有诊断组中,在控制人口统计学因素和长期病症后,精神疾病的预计 Fit note 数量最高(n=3.3;95%置信区间:3.1 至 3.4)。任何病症亚组中预计开具 Fit note 数量最高的是因药物和/或酒精滥用就诊的患者(n=4.5;95%置信区间:4.1 至 4.8)。
我们首次表明,首次开具 Fit note 时出现药物和/或酒精滥用与开具最多数量的 Fit note 相关。需要研究了解处于长期病假高风险的个体的轨迹,特别是因药物和/或酒精滥用就诊的人。