• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

使用随机数字锚定影响疼痛推断:随机对照试验

Influencing Pain Inferences Using Random Numerical Anchoring: Randomized Controlled Trial.

作者信息

Lewinson Rebecca Elizabeth, Katz Joel D

机构信息

Department of Psychology, Faculty of Health, York University, Toronto, ON, Canada.

出版信息

JMIR Hum Factors. 2020 Mar 9;7(1):e17533. doi: 10.2196/17533.

DOI:10.2196/17533
PMID:32149719
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7091028/
Abstract

BACKGROUND

Numerical anchoring occurs when exposure to a numeric quantity influences a person's subsequent judgment involving other quantities. This could be applicable to the evaluation of pain, where exposure to an unrelated number before the evaluation of pain could influence pain ratings.

OBJECTIVE

This study aimed to determine whether exposure to a random numeric anchor influences subsequent pain intensity ratings of a hypothetical patient.

METHODS

In this study, 385 participants read a vignette describing a patient with chronic pain before being randomly assigned to one of four groups. Groups 1 and 2 spun an 11-wedge number wheel (0-10), which was, unbeknown to the participants, programmed to stop on a high number (8) or a low number (2), respectively. Group 3 spun a similar letter wheel (A-K), which was programmed to stop on either the letter C or I (control 1). Group 4 did not spin a wheel (control 2). Participants were then asked to rate the patient's pain intensity using a 0 to 10 numeric rating scale.

RESULTS

The high-number group rated the patient's pain (median 8, IQR 2) significantly higher than the letter wheel control (median 7, IQR 2; P=.02) and the low-number group (median 6, IQR 2; P<.001). The low-number group rated the pain significantly lower than controls 1 and 2 (median 7, IQR 2; both P=.045).

CONCLUSIONS

Pain ratings were influenced by prior exposure to a random number with no relevant information about the patient's pain, indicating anchoring had occurred. However, contrary to the traditional definition of anchoring where anchoring occurs even when participants are unaware of the anchor's influence, in this study, the anchoring effect was seen only in participants who believed that the anchor had influenced them. This suggests that anchoring effects could potentially occur among health care providers tasked with evaluating a patient's pain and should be evaluated further.

摘要

背景

当接触到一个数值量影响到一个人随后对其他量的判断时,就会发生数字锚定。这可能适用于疼痛评估,即在评估疼痛之前接触到一个不相关的数字可能会影响疼痛评分。

目的

本研究旨在确定接触随机数字锚是否会影响对一名假设患者的后续疼痛强度评分。

方法

在本研究中,385名参与者在阅读了一篇描述慢性疼痛患者的短文后,被随机分配到四组中的一组。第1组和第2组转动一个有11个楔形的数字轮(0至10),参与者不知道的是,该数字轮被设定分别停在一个高数字(8)或一个低数字(2)上。第3组转动一个类似的字母轮(A至K),该字母轮被设定停在字母C或I上(对照组1)。第4组不转动轮子(对照组2)。然后要求参与者使用0至10的数字评分量表对患者的疼痛强度进行评分。

结果

高数字组对患者疼痛的评分(中位数8,四分位距2)显著高于字母轮对照组(中位数7,四分位距2;P=0.02)和低数字组(中位数6,四分位距2;P<0.001)。低数字组对疼痛的评分显著低于对照组1和对照组2(中位数7,四分位距2;P均=0.045)。

结论

疼痛评分受到之前接触到的与患者疼痛无关的随机数字的影响,表明发生了锚定效应。然而,与锚定的传统定义相反,即即使参与者没有意识到锚的影响也会发生锚定,在本研究中,锚定效应仅在那些认为锚对其有影响的参与者中出现。这表明,在负责评估患者疼痛的医疗保健人员中可能会发生锚定效应,应进一步进行评估。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3aae/7091028/b87e9953908d/humanfactors_v7i1e17533_fig2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3aae/7091028/b87e9953908d/humanfactors_v7i1e17533_fig2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3aae/7091028/b87e9953908d/humanfactors_v7i1e17533_fig2.jpg

相似文献

1
Influencing Pain Inferences Using Random Numerical Anchoring: Randomized Controlled Trial.使用随机数字锚定影响疼痛推断:随机对照试验
JMIR Hum Factors. 2020 Mar 9;7(1):e17533. doi: 10.2196/17533.
2
The influence of anchoring on pain judgment.锚定对疼痛判断的影响。
J Pain Symptom Manage. 2011 Aug;42(2):265-77. doi: 10.1016/j.jpainsymman.2010.10.264. Epub 2011 Mar 12.
3
Age similarities in the anchoring effect in emotion intensity judgment.情绪强度判断中锚定效应的年龄相似性。
BMC Psychol. 2023 May 15;11(1):158. doi: 10.1186/s40359-023-01101-w.
4
Anchoring the Numeric Pain Scale Changes Pain Intensity Reports in Patients With Chronic But Not With Acute Pain.使用数字疼痛量表进行定位会改变慢性疼痛患者而非急性疼痛患者的疼痛强度报告。
Pain Pract. 2019 Mar;19(3):283-288. doi: 10.1111/papr.12738. Epub 2018 Nov 20.
5
Anchoring effect in legal decision-making: A meta-analysis.法律决策中的锚定效应:一项元分析。
Law Hum Behav. 2021 Feb;45(1):1-23. doi: 10.1037/lhb0000438.
6
A new look at anchoring effects: basic anchoring and its antecedents.锚定效应新探:基本锚定及其前因
J Exp Psychol Gen. 1996 Dec;125(4):387-402. doi: 10.1037//0096-3445.125.4.387.
7
Anchoring effects in the judgment of confidence: semantic or numeric priming?信心判断中的锚定效应:语义启动还是数字启动?
Atten Percept Psychophys. 2009 Feb;71(2):297-307. doi: 10.3758/APP.71.2.297.
8
Effects of accuracy motivation and anchoring on metacomprehension judgment and accuracy.准确性动机和锚定对元理解判断及准确性的影响。
J Gen Psychol. 2012 Jul-Sep;139(3):155-74. doi: 10.1080/00221309.2012.680523.
9
Not all Anchors Weigh Equally.并非所有锚的重量都相同。
Exp Psychol. 2017 Nov;64(6):398-405. doi: 10.1027/1618-3169/a000383.
10
Relationship between behavioral and physiological indicators of pain, critical care patients' self-reports of pain, and opioid administration.疼痛的行为和生理指标、重症监护患者的疼痛自我报告与阿片类药物使用之间的关系。
Crit Care Med. 1997 Jul;25(7):1159-66. doi: 10.1097/00003246-199707000-00017.

引用本文的文献

1
Preoperative Education for Less Outpatient Pain after Surgery (PELOPS trial) in orthopedic patients-study protocol for a randomized controlled trial.骨科患者术后门诊疼痛减轻的术前教育(PELOPS 试验):一项随机对照试验研究方案。
Trials. 2022 May 21;23(1):422. doi: 10.1186/s13063-022-06387-6.

本文引用的文献

1
Mapping of Crowdsourcing in Health: Systematic Review.健康领域众包的映射:系统综述
J Med Internet Res. 2018 May 15;20(5):e187. doi: 10.2196/jmir.9330.
2
The Promise and Pitfalls of Using Crowdsourcing in Research Prioritization for Back Pain: Cross-Sectional Surveys.众包在背痛研究优先级确定中的前景与陷阱:横断面调查
J Med Internet Res. 2017 Oct 6;19(10):e341. doi: 10.2196/jmir.8821.
3
Amazon's Mechanical Turk: A New Source of Inexpensive, Yet High-Quality, Data?亚马逊土耳其机器人:一种新的廉价、高质量数据来源?
Perspect Psychol Sci. 2011 Jan;6(1):3-5. doi: 10.1177/1745691610393980. Epub 2011 Feb 3.
4
Longitudinal association between pain, and depression and anxiety over four years.四年间疼痛与抑郁和焦虑的纵向关联。
J Psychosom Res. 2015 Jan;78(1):64-70. doi: 10.1016/j.jpsychores.2014.10.011. Epub 2014 Oct 28.
5
Crowdsourcing a normative natural language dataset: a comparison of Amazon Mechanical Turk and in-lab data collection.众包一个规范性自然语言数据集:亚马逊土耳其机器人与实验室数据收集的比较
J Med Internet Res. 2013 May 20;15(5):e100. doi: 10.2196/jmir.2620.
6
The influence of anchoring on pain judgment.锚定对疼痛判断的影响。
J Pain Symptom Manage. 2011 Aug;42(2):265-77. doi: 10.1016/j.jpainsymman.2010.10.264. Epub 2011 Mar 12.
7
Statistical power analyses using G*Power 3.1: tests for correlation and regression analyses.使用 G*Power 3.1 进行统计功效分析:相关和回归分析的检验。
Behav Res Methods. 2009 Nov;41(4):1149-60. doi: 10.3758/BRM.41.4.1149.
8
Pain catastrophizing: a critical review.疼痛灾难化:一项批判性综述。
Expert Rev Neurother. 2009 May;9(5):745-58. doi: 10.1586/ern.09.34.
9
Provider judgments of patients in pain: seeking symptom certainty.医护人员对疼痛患者的判断:寻求症状确定性。
Pain Med. 2009 Jan;10(1):11-34. doi: 10.1111/j.1526-4637.2008.00527.x. Epub 2008 Nov 5.
10
Judgment under Uncertainty: Heuristics and Biases.《不确定性下的判断:启发式与偏差》
Science. 1974 Sep 27;185(4157):1124-31. doi: 10.1126/science.185.4157.1124.