• 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

相似文献

1
Multimorbidity and patient-reported diagnostic errors in the primary care setting: multicentre cross-sectional study in Japan.多病共存与初级保健环境中的患者报告诊断错误:日本多中心横断面研究。
BMJ Open. 2020 Aug 20;10(8):e039040. doi: 10.1136/bmjopen-2020-039040.
2
Associations of primary care structures with polypharmacy and patient-reported indicators in patients with complex multimorbidity: a multicentre cross-sectional study in Japan.初级保健结构与复杂多病患者的多种药物治疗和患者报告指标的关联:日本多中心横断面研究。
BMJ Open. 2022 Jan 7;12(1):e054348. doi: 10.1136/bmjopen-2021-054348.
3
Prevalence of multimorbidity in general practice: a cross-sectional study within the Swiss Sentinel Surveillance System (Sentinella).全科医疗中多种疾病并存的患病率:瑞士哨点监测系统(Sentinella)内的一项横断面研究。
BMJ Open. 2018 Mar 6;8(3):e019616. doi: 10.1136/bmjopen-2017-019616.
4
Prevalence of multimorbidity in the adult population attending primary care in Portugal: a cross-sectional study.葡萄牙初级保健机构成年就诊人群中的多重疾病患病率:一项横断面研究。
BMJ Open. 2015 Sep 25;5(9):e009287. doi: 10.1136/bmjopen-2015-009287.
5
Multimorbidity in primary care: protocol of a national cross-sectional study in Switzerland.初级保健中的多重疾病:瑞士一项全国性横断面研究的方案
BMJ Open. 2015 Oct 28;5(10):e009165. doi: 10.1136/bmjopen-2015-009165.
6
Validation of patient- and GP-reported core sets of quality indicators for older adults with multimorbidity in primary care: results of the cross-sectional observational MULTIqual validation study.基于初级保健中老年多病患者的患者和全科医生报告的核心质量指标集的验证:多质量验证研究的横断面观察结果。
BMC Med. 2023 Apr 17;21(1):148. doi: 10.1186/s12916-023-02856-0.
7
Magnitude and determinants of multimorbidity and health care utilization among patients attending public versus private primary care: a cross-sectional study from Odisha, India.在印度奥里萨邦,比较接受公营与私营基层医疗服务的患者的多病共存程度和决定因素,以及医疗服务使用情况:一项横断面研究。
Int J Equity Health. 2020 Apr 29;19(1):57. doi: 10.1186/s12939-020-01170-y.
8
Chronic conditions, multimorbidity, and quality of life among patients attending monk healers and primary care clinics in Thailand.泰国僧侣治疗师和初级保健诊所患者的慢性病、多种疾病和生活质量。
Health Qual Life Outcomes. 2021 Feb 23;19(1):61. doi: 10.1186/s12955-021-01707-x.
9
Psychosocial complexity in multimorbidity: the legacy of adverse childhood experiences.多重疾病中的心理社会复杂性:童年不良经历的影响
Fam Pract. 2015 Jun;32(3):269-75. doi: 10.1093/fampra/cmv016. Epub 2015 Apr 21.
10
Multicentre descriptive cross-sectional study of Japanese home visit patients: reasons for encounter, health problems and multimorbidity.多中心描述性横断面研究:日本上门就诊患者的就诊原因、健康问题和多病共存情况。
Fam Pract. 2020 Mar 25;37(2):227-233. doi: 10.1093/fampra/cmz056.

引用本文的文献

1
Facilitating Trust Calibration in Artificial Intelligence-Driven Diagnostic Decision Support Systems for Determining Physicians' Diagnostic Accuracy: Quasi-Experimental Study.促进人工智能驱动的诊断决策支持系统中信任校准以确定医生的诊断准确性:准实验研究。
JMIR Form Res. 2024 Nov 27;8:e58666. doi: 10.2196/58666.
2
Using Patient Experience Surveys to Identify Potential Diagnostic Safety Breakdowns: A Mixed Methods Study.使用患者体验调查来识别潜在的诊断安全故障:一项混合方法研究。
J Patient Saf. 2024 Dec 1;20(8):556-563. doi: 10.1097/PTS.0000000000001283. Epub 2024 Sep 17.
3
Diagnostic Errors in Obstetric Morbidity and Mortality: Methods for and Challenges in Seeking Diagnostic Excellence.产科发病率和死亡率中的诊断错误:追求卓越诊断的方法与挑战
J Clin Med. 2024 Jul 20;13(14):4245. doi: 10.3390/jcm13144245.
4
Effects of a 60-Minute Lecture About Diagnostic Errors for Medical Students: A Single-Center Interventional Study.一场面向医学生的60分钟诊断错误讲座的效果:一项单中心干预性研究。
Cureus. 2024 Mar 13;16(3):e56117. doi: 10.7759/cureus.56117. eCollection 2024 Mar.
5
Effects of Combinational Use of Additional Differential Diagnostic Generators on the Diagnostic Accuracy of the Differential Diagnosis List Developed by an Artificial Intelligence-Driven Automated History-Taking System: Pilot Cross-Sectional Study.额外鉴别诊断生成器联合使用对人工智能驱动的自动病史采集系统所制定的鉴别诊断列表诊断准确性的影响:前瞻性横断面研究
JMIR Form Res. 2023 Aug 2;7:e49034. doi: 10.2196/49034.

本文引用的文献

1
Patient-related factors associated with an increased risk of being a reported case of preventable harm in first-line health care: a case-control study.与一线医疗保健中报告的可预防伤害病例风险增加相关的患者相关因素:一项病例对照研究。
BMC Fam Pract. 2020 Jan 29;21(1):20. doi: 10.1186/s12875-020-1087-4.
2
Comparison of Primary Care Experience in Hospital-Based Practices and Community-Based Office Practices in Japan.日本以医院为基础的实践和以社区为基础的办公室实践中的初级保健体验比较。
Ann Fam Med. 2020 Jan;18(1):24-29. doi: 10.1370/afm.2463.
3
A systematic literature review of the assessment of treatment burden experienced by patients and their caregivers.患者及其照护者治疗负担评估的系统文献回顾。
BMC Geriatr. 2019 Oct 11;19(1):262. doi: 10.1186/s12877-019-1222-z.
4
Development and validation of a concise scale for assessing patient experience of primary care for adults in Japan.日本成人初级保健患者体验简明量表的开发和验证。
Fam Pract. 2020 Feb 19;37(1):137-142. doi: 10.1093/fampra/cmz038.
5
Multimorbidity patterns in relation to polypharmacy and dosage frequency: a nationwide, cross-sectional study in a Japanese population.多种疾病模式与多药治疗和用药频率的关系:一项日本人群的全国性横断面研究。
Sci Rep. 2018 Feb 28;8(1):3806. doi: 10.1038/s41598-018-21917-6.
6
Patients' evaluations of patient safety in English general practices: a cross-sectional study.英国全科医疗中患者对患者安全的评估:一项横断面研究。
Br J Gen Pract. 2017 Jul;67(660):e474-e482. doi: 10.3399/bjgp17X691085. Epub 2017 Jun 5.
7
Patient-reported safety incidents in older patients with long-term conditions: a large cross-sectional study.老年慢性病患者自我报告的安全事件:一项大型横断面研究。
BMJ Open. 2017 May 30;7(5):e013524. doi: 10.1136/bmjopen-2016-013524.
8
The global burden of diagnostic errors in primary care.基层医疗中诊断错误的全球负担。
BMJ Qual Saf. 2017 Jun;26(6):484-494. doi: 10.1136/bmjqs-2016-005401. Epub 2016 Aug 16.
9
The missing evidence: a systematic review of patients' experiences of adverse events in health care.缺失的证据:对患者在医疗保健中不良事件经历的系统评价
Int J Qual Health Care. 2015 Dec;27(6):424-42. doi: 10.1093/intqhc/mzv075. Epub 2015 Sep 29.
10
Multimorbidity and Patient Safety Incidents in Primary Care: A Systematic Review and Meta-Analysis.基层医疗中的多重疾病与患者安全事件:一项系统综述与荟萃分析
PLoS One. 2015 Aug 28;10(8):e0135947. doi: 10.1371/journal.pone.0135947. eCollection 2015.

多病共存与初级保健环境中的患者报告诊断错误:日本多中心横断面研究。

Multimorbidity and patient-reported diagnostic errors in the primary care setting: multicentre cross-sectional study in Japan.

机构信息

Division of Clinical Epidemiology, The Jikei University School of Medicine, Minato-ku, Tokyo, Japan

Section of Clinical Epidemiology, Department of Community Medicine, Graduate School of Medicine, Kyoto University, Kyoto, Japan.

出版信息

BMJ Open. 2020 Aug 20;10(8):e039040. doi: 10.1136/bmjopen-2020-039040.

DOI:10.1136/bmjopen-2020-039040
PMID:32819954
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7440713/
Abstract

OBJECTIVES

There is lack of evidence for the association between multimorbidity and diagnostic errors. Information on diagnostic errors from patients' perspectives is crucial to improve the diagnostic process. In this study, we aimed to investigate patient-reported diagnostic errors and to examine the relationship between multimorbidity and patient-reported diagnostic errors in the primary care setting.

DESIGN

Multicentre cross-sectional study.

SETTING

A primary care practice-based research network in Japan (25 primary care facilities).

PARTICIPANTS

Adult outpatients filled out a standardised questionnaire.

PRIMARY OUTCOME MEASURE

Patient-reported diagnostic errors.

RESULTS

Data collected from 1474 primary care outpatients were analysed. The number of participants who reported diagnostic errors was 57 (3.9%). Most of the missed diagnoses were common conditions in primary care, such as cancer, dermatitis and hypertension. After adjustment for possible confounders and clustering within facilities, multimorbidity was positively associated with patient-reported diagnostic errors (adjusted OR=1.83, 95% CI 1.01 to 3.31). The results of the sensitivity analysis were consistent with those of the primary analysis.

CONCLUSIONS

The present study showed a lower proportion of patients reporting experiences of diagnostic errors in primary care than those reported in previous studies in other countries. However, patients with multimorbidity are more likely to report diagnostic errors in primary care; thus, further research is necessary to improve the diagnostic process for patients with multimorbidity.

摘要

目的

目前缺乏多病共存与诊断错误之间关联的证据。从患者角度了解诊断错误的信息对于改善诊断过程至关重要。本研究旨在调查患者报告的诊断错误,并探讨初级保健环境中多病共存与患者报告的诊断错误之间的关系。

设计

多中心横断面研究。

设置

日本的一个初级保健实践为基础的研究网络(25 个初级保健机构)。

参与者

成年门诊患者填写了一份标准化问卷。

主要结局测量

患者报告的诊断错误。

结果

对来自 1474 名初级保健门诊患者的数据进行了分析。报告诊断错误的参与者人数为 57 人(3.9%)。大多数漏诊的疾病是初级保健中常见的病症,如癌症、皮炎和高血压。在调整了可能的混杂因素和机构内的聚类后,多病共存与患者报告的诊断错误呈正相关(调整后的 OR=1.83,95%CI 1.01 至 3.31)。敏感性分析的结果与主要分析的结果一致。

结论

本研究显示,在初级保健中报告诊断错误的患者比例低于其他国家先前研究报告的比例。然而,多病共存的患者更有可能在初级保健中报告诊断错误;因此,需要进一步研究以改善多病共存患者的诊断过程。