Exploring nurses' clinical judgment concerning the relative importance of fall risk factors: A mixed method approach using the Q Methodology

心理干预 认知 集合(抽象数据类型) 心理学 风险感知 渐晕 排名(信息检索) 风险评估 护理部 应用心理学 医学 社会心理学 感知 计算机科学 精神科 计算机安全 神经科学 机器学习 程序设计语言
作者
Miyuki Takase,Naomi Kisanuki,Yoko Nakayoshi,Chizuru Uemura,Yoko Sato,Masako Yamamoto
出处
期刊:International Journal of Nursing Studies [Elsevier BV]
卷期号:153: 104720-104720 被引量:4
标识
DOI:10.1016/j.ijnurstu.2024.104720
摘要

Nurses are pivotal in averting patient falls through their assessment of cues presented by patients and their environments, rendering clinical judgments regarding the risk of falling, and implementing tailored interventions. Despite the intricate cognitive processes entailed in nurses' judgment, no prior studies have explored their approach to assessing the risk of falling. This study aimed to examine how nurses judge the risk of falling among patients with different conditions, whether there are differences in the importance of risk factors as judged by nurses, how they justify their judgments, and what attributes of the nurses influence their judgments. A mixed method approach using the Q Methodology was employed. Three public and private hospitals in Japan. Eighteen nurses participated in the study. Participants were tasked with ranking 36 patient scenarios, each featuring a distinct set of fall risk factors. Subsequently, post-sorting interviews were conducted to gather insights into their typical approach to assessing fall risk and the rationale behind their ranking decisions. A by-person principal component factor extraction was employed to examine differences in the rankings of the scenarios. The interview data were analyzed descriptively to elucidate the reasons behind these discrepancies. Nurses engage in complex cognitive manipulations when evaluating the risk of patient falls, drawing extensively from their wealth of experience while utilizing assessment tools to support their judgments. In essence, nurses identify patients' tendency to act alone without calling a nurse, impaired gait and cognition, sedative use, drains, and limited information sharing among healthcare professionals as key fall risks. In addition, nurses vary in the importance they attribute to certain risk factors, leading to the discrimination of three distinct judgment profiles. One group of nurses judge patients with cognitive impairment and acting alone as high risk. Another group of nurses consider patients with unstable gait and acting alone as high risk. The last group of nurses see patients wearing slippers as high risk. The post-sorting interviews revealed that their judgments are closely related to the healthcare context and patient population. Nurses operate within diverse contexts, wherein they interact with patients of varying characteristics, collaborate with professionals from diverse disciplines, and have access to varying levels of human and physical resources. This nuanced understanding empowers the formulation of judgments that are finely attuned to the specific context at hand. Not registered.
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
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
阿呆完成签到,获得积分10
1秒前
cyr发布了新的文献求助10
1秒前
1秒前
XY完成签到,获得积分20
2秒前
2秒前
2秒前
2秒前
小鱼儿发布了新的文献求助10
3秒前
3秒前
甜蜜弱发布了新的文献求助20
5秒前
科研通AI6.2应助Mike采纳,获得10
6秒前
7秒前
朱祝祝完成签到,获得积分10
7秒前
巧可脆脆发布了新的文献求助10
8秒前
8秒前
8秒前
9秒前
9秒前
shiyaouao发布了新的文献求助30
9秒前
傅宣完成签到,获得积分10
10秒前
大力的冬萱应助Jian采纳,获得20
10秒前
疯狂的保温杯关注了科研通微信公众号
11秒前
11秒前
yordeabese完成签到,获得积分10
11秒前
陶醉的毛豆完成签到,获得积分10
13秒前
Ava应助里打动采纳,获得10
13秒前
西瓜宝宝发布了新的文献求助10
13秒前
14秒前
14秒前
15秒前
黄吉美发布了新的文献求助10
16秒前
17秒前
17秒前
17秒前
molihuakai应助晴天采纳,获得10
17秒前
京巶雨完成签到,获得积分20
18秒前
18秒前
liuzhuohao应助张冰采纳,获得10
18秒前
丘比特应助筱雨采纳,获得10
19秒前
20秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
模型平均及其应用 900
Nondestructive Testing Handbook: Vol. 4, Thermal and Infrared Testing (IR), 4th ed 800
作者名:Kristopher P. Plain,悉尼大学的,目前只能查到其四篇论文,想找到其博士论文 590
Évora na Idade Média 555
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
Structural Analysis 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7353376
求助须知:如何正确求助?哪些是违规求助? 8964445
关于积分的说明 19045542
捐赠科研通 7001994
什么是DOI,文献DOI怎么找? 3221692
关于科研通互助平台的介绍 2386157
邀请新用户注册赠送积分活动 2202271