Factors associated with pain reporting and severity of pain in the prehospital setting

医学 疼痛评估 人口 格拉斯哥昏迷指数 物理疗法 队列 疼痛管理 内科学 麻醉 环境卫生
作者
Rory Quinn,Siobhán Masterson,David W. Willis,David Hennelly,Conor Deasy,Colm P. O’Donnell
标识
DOI:10.1177/27536386231162609
摘要

An effective pain management strategy requires understanding of the epidemiology of pain in the population of interest and accurate measurement upon which to base quality improvement plans. The aims of this study were to estimate the incidence of pain in the prehospital setting and to explore features that impact on (1) documentation of pain; (2) severity of pain reported by patients. This retrospective cohort study included 212,401 care episodes attended by National Ambulance Service practitioners during 2020. Descriptive analysis of patient and care episode characteristics and regression analyses for the outcomes pain recorded and severity of pain were performed. We also used text pattern-matching of the notes field to estimate the proportion of patients in pain for whom a pain score assessment had not been documented. Sixty-five percent of all patients had a pain score documented and 29.5% were in pain (11% in severe pain). Likelihood of pain being recorded was most strongly associated with: Glasgow Coma Scale (GCS) Score, working diagnosis of the patient, location of the incident, and patient age. Likelihood of pain severity was most strongly associated with: transport status of patient, GCS score, and patient age. We treated missing data as a separate category and found consistent associations between the outcomes and missing data. We also found that pain was a symptom in approximately 15% of cases where no formal pain score assessment was documented. The data showed associations between routinely collected variables and the likelihood of pain recording and pain severity. Our findings also demonstrate the impact of missing data. To mitigate missing data impact, we suggest that EMS agencies consider making pain score assessment a mandatory requirement of their reporting for every patient. We also recommend that services report the extent and impact of missing data when measuring clinical performance.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
PDF的下载单位、IP信息已删除 (2025-6-4)

科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
xie69完成签到,获得积分10
刚刚
Yuan发布了新的文献求助10
刚刚
1秒前
ssssssssci完成签到,获得积分10
1秒前
春眠不觉小小酥完成签到,获得积分10
1秒前
多喝水完成签到 ,获得积分10
1秒前
1秒前
Paperduoduo完成签到,获得积分10
1秒前
HuiJN完成签到 ,获得积分10
2秒前
2秒前
ning完成签到,获得积分10
2秒前
2秒前
善学以致用应助苏卿采纳,获得10
3秒前
KKK完成签到,获得积分10
3秒前
3秒前
zhuzhu发布了新的文献求助10
4秒前
yeeeee完成签到 ,获得积分10
4秒前
5秒前
5秒前
研友_Y59785应助科研通管家采纳,获得10
5秒前
5秒前
5秒前
热固性塑料完成签到,获得积分10
6秒前
王强完成签到,获得积分10
6秒前
阔达磬发布了新的文献求助10
7秒前
左丘以云发布了新的文献求助10
7秒前
嘟呜发布了新的文献求助10
8秒前
豆芽完成签到,获得积分10
8秒前
pakiorder完成签到,获得积分10
9秒前
jiabaoyu发布了新的文献求助10
9秒前
xiaojinyu完成签到 ,获得积分10
9秒前
小熊不熊完成签到,获得积分10
9秒前
是谁还没睡完成签到 ,获得积分10
10秒前
夏目由美完成签到 ,获得积分10
11秒前
猫好好完成签到,获得积分10
12秒前
迷路的游侠完成签到,获得积分10
12秒前
等待安柏完成签到,获得积分20
12秒前
illusion完成签到,获得积分10
12秒前
CDY完成签到,获得积分10
13秒前
华仔应助T拐拐采纳,获得10
13秒前
高分求助中
【提示信息,请勿应助】关于scihub 10000
The Mother of All Tableaux: Order, Equivalence, and Geometry in the Large-scale Structure of Optimality Theory 3000
Social Research Methods (4th Edition) by Maggie Walter (2019) 2390
A new approach to the extrapolation of accelerated life test data 1000
北师大毕业论文 基于可调谐半导体激光吸收光谱技术泄漏气体检测系统的研究 390
Phylogenetic study of the order Polydesmida (Myriapoda: Diplopoda) 370
Robot-supported joining of reinforcement textiles with one-sided sewing heads 360
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 生物化学 物理 内科学 纳米技术 计算机科学 化学工程 复合材料 遗传学 基因 物理化学 催化作用 冶金 细胞生物学 免疫学
热门帖子
关注 科研通微信公众号,转发送积分 4009254
求助须知:如何正确求助?哪些是违规求助? 3549107
关于积分的说明 11300780
捐赠科研通 3283530
什么是DOI,文献DOI怎么找? 1810370
邀请新用户注册赠送积分活动 886168
科研通“疑难数据库(出版商)”最低求助积分说明 811267