Division of General Internal Medicine and Primary Care, Brigham and Women's Hospital, Boston, Massachusetts.
Harvard Medical School, Boston, Massachusetts.
JAMA Netw Open. 2021 Mar 1;4(3):e213287. doi: 10.1001/jamanetworkopen.2021.3287.
When confronted with new medical symptoms, many people turn to the internet to understand why they are ill as well as whether and where they should get care. Such searches may be harmful because they may facilitate misdiagnosis and inappropriate triage.
To empirically measure the association of an internet search for health information with diagnosis, triage, and anxiety by laypeople.
DESIGN, SETTING, AND PARTICIPANTS: This survey study used a nationally representative sample of US adults who were recruited through an online platform between April 1, 2019, and April 15, 2019. A total of 48 validated case vignettes of both common (eg, viral illness) and severe (eg, heart attack) conditions were used. Participants were asked to relay their diagnosis, triage, and anxiety regarding 1 of these cases before and after searching the internet for health information.
Short, validated case vignettes written at or below the sixth-grade reading level randomly assigned to participants.
Correct diagnosis, correct triage, and flipping (changing) or anchoring (not changing) diagnosis and triage decisions were the main outcomes. Multivariable modeling was performed to identify patient factors associated with correct triage and diagnosis.
Of the 5000 participants, 2549 were female (51.0%), 3819 were White (76.4%), and the mean (SD) age was 45.0 (16.9) years. Mean internet search time was 12.1 (95% CI, 10.7-13.5) minutes per case. No difference in triage accuracy was found before and after search (74.5% vs 74.1%; difference, -0.4 [95% CI, -1.4 to 0.6]; P = .06), but improved diagnostic accuracy was found (49.8% vs 54.0%; difference, 4.2% [95% CI, 3.1%-5.3%]; P < .001). Most participants (4254 [85.1%]) were anchored on their diagnosis. Of the 14.9% of participants (n = 746) who flipped their diagnosis, 9.6% (n = 478) flipped from incorrect to correct and 5.4% (n = 268) flipped from correct to incorrect. The following groups had an increased rate of correct diagnosis: adults 40 years or older (eg, 40-49 years: 5.1 [95% CI, 0.8-9.4] percentage points better than those aged <30 years; P = .02), women (9.4 [95% CI, 6.8-12.0] percentage points better than men; P < .001), and those with perceived poor health status (16.3 [95% CI, 6.9-25.6] percentage points better than those with excellent status; P = .001) and with more than 2 chronic diseases (6.8 [95% CI, 1.5-12.1] percentage points better than those with 0 conditions; P = .01).
This study found that an internet search for health information was associated with small increases in diagnostic accuracy but not with triage accuracy.
当人们面对新的医学症状时,许多人会上网了解自己为什么生病,以及是否应该在哪里寻求治疗。这样的搜索可能是有害的,因为它们可能会导致误诊和不当分诊。
通过非专业人士来实证衡量搜索健康信息与诊断、分诊和焦虑之间的关联。
设计、地点和参与者:本调查研究使用了一项全国性的美国成年人代表性样本,通过在线平台于 2019 年 4 月 1 日至 4 月 15 日之间招募。共使用了 48 个经过验证的常见(例如,病毒感染)和严重(例如,心脏病发作)病例的简短案例。参与者被要求在搜索互联网健康信息之前和之后,对其中一个案例进行诊断、分诊和焦虑程度的评估。
简短的、经过验证的案例以或低于六年级阅读水平的水平随机分配给参与者。
正确的诊断、正确的分诊以及改变(更改)或固定(不改变)诊断和分诊决策是主要结果。采用多变量模型来确定与正确分诊和诊断相关的患者因素。
在 5000 名参与者中,有 2549 名女性(51.0%),3819 名参与者为白人(76.4%),平均(SD)年龄为 45.0(16.9)岁。每个病例的平均互联网搜索时间为 12.1(95%CI,10.7-13.5)分钟。搜索前后分诊准确率没有差异(74.5%比 74.1%;差值,-0.4[95%CI,-1.4 至 0.6];P=0.06),但诊断准确率有所提高(49.8%比 54.0%;差值,4.2%[95%CI,3.1%-5.3%];P<0.001)。大多数参与者(4254[85.1%])的诊断是固定的。在 14.9%(n=746)的诊断发生变化的参与者中,9.6%(n=478)从错误的诊断转变为正确的诊断,5.4%(n=268)从正确的诊断转变为错误的诊断。以下人群的正确诊断率更高:40 岁或以上的成年人(例如,40-49 岁:比 30 岁以下的成年人高出 5.1[95%CI,0.8-9.4]个百分点;P=0.02)、女性(比男性高出 9.4[95%CI,6.8-12.0]个百分点;P<0.001)、自感健康状况不佳(比自感健康状况极好的人群高出 16.3[95%CI,6.9-25.6]个百分点;P=0.001)和患有两种或以上慢性疾病(比无任何疾病的人群高出 6.8[95%CI,1.5-12.1]个百分点;P=0.01)。
本研究发现,搜索健康信息与诊断准确性的微小提高有关,但与分诊准确性无关。