Patient Recall of Health Care Events and Time to Diagnose a Suspected Ovarian Cancer

Lisa M. Hess , Michael W. Method , Frederick B. Stehman , Tess D. Weathers , Paridha Gupta , Jeanne M. Schilder
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引用次数: 13

Abstract

Introduction

Patient recall is often used by clinicians to create a history of care leading to consultation with a gynecologic oncologist. Although patient recall may be an efficient method to explore the context of the patient's concerns, the accuracy of recall and its potential impact on care are unknown. This study sought to explore the consistency of patient recall compared with data found in health care records.

Patients and Methods

This study enrolled 105 eligible patients who were referred to a gynecologic oncologist for suspected ovarian cancer. Ninety-one of these patients were interviewed regarding symptoms, health care events, and the dates leading to diagnosis. The medical records of these patients from all previous providers were obtained and data were abstracted. The intraclass correlation coefficient (intraclass correlation coefficient, ICC[3,1]) was used to examine correspondence between recall and medical record data.

Results

There was low correspondence between patient recall and the medical record for time to diagnosis (ICC = 0.12; 95% confidence interval [CI] = −0.09 to 0.33; P = .12) and health care events (0.15; 95% CI, −0.05 to 0.348; P = .008).

Conclusions

There should be limited confidence in information obtained from patient recall given the inconsistency between recall and actual dates and events.

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患者回忆医疗事件和诊断疑似卵巢癌的时间
临床医生经常使用患者回忆来创建与妇科肿瘤学家会诊的护理史。虽然患者回忆可能是一种有效的方法,以探索患者的关注背景,回忆的准确性和其对护理的潜在影响是未知的。本研究旨在探讨患者回忆与医疗记录数据的一致性。患者和方法本研究纳入了105例因疑似卵巢癌而转诊至妇科肿瘤科的符合条件的患者。对其中91名患者进行了关于症状、医疗保健事件和诊断日期的访谈。从所有以前的提供者那里获得这些患者的医疗记录,并对数据进行摘要。使用类内相关系数(intraclass correlation coefficient, ICC[3,1])检验召回与病历数据之间的对应关系。结果患者回忆与病历的诊断时间相关性较低(ICC = 0.12;95%置信区间[CI] = - 0.09 ~ 0.33;P = .12)和卫生保健事件(0.15;95% CI,−0.05 ~ 0.348;P = .008)。结论由于回忆与实际日期和事件不一致,从患者回忆中获得的信息可信度有限。
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WITHDRAWN: Epigenetic Pathways Offer Targets for Ovarian Cancer Treatment Table of Contents Editorial Board A Simulation Study of the Factors Influencing the Risk of Intraoperative Slipping Genetic Cancer Ovary
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