Adam Rosalind, Garau Roberta, Raja Edwin Amalraj, Jones Benedict, Johnston Marie, Murchie Peter
Centre for Academic Primary Care, Institute of Applied Health Sciences, University of Aberdeen, Aberdeen, United Kingdom.
Medical Statistics, Institute of Applied Health Sciences, University of Aberdeen, Aberdeen, United Kingdom.
PLoS One. 2017 Nov 22;12(11):e0188222. doi: 10.1371/journal.pone.0188222. eCollection 2017.
Delayed cancer diagnosis leads to poorer patient outcomes. During short consultations, General Practitioners (GPs) make quick decisions about likelihood of cancer. Patients' facial cues are processed rapidly and may influence diagnosis.
To investigate whether patients' facial characteristics influence immediate perception of cancer risk by GPs.
Web-based binary forced choice experiment with GPs from Northeast Scotland.
GPs were presented with a series of pairs of face prototypes and asked to quickly select the patient more likely to have cancer. Faces were modified with respect to age, gender, and ethnicity. Choices were analysed using Chi-squared goodness-of-fit statistics with Bonferroni corrections.
Eighty-two GPs participated. GPs were significantly more likely to suspect cancer in older patients. Gender influenced GP cancer suspicion, but this was modified by age: the male face was chosen as more likely to have cancer than the female face for young (72% of GPs;95% CI 61.0-87.0) and middle-aged faces (65.9%; 95% CI 54.7-75.5); but 63.4% (95% CI 52.2-73.3) decided the older female was more likely to have cancer than the older male (p = 0.015). GPs were significantly more likely to suspect cancer in the young Caucasian male (65.9% (95% CI 54.7, 75.5)) compared to the young Asian male (p = 0.004).
GPs' first impressions about cancer risk are influenced by patient age, gender, and ethnicity. Tackling GP cognitive biases could be a promising way of reducing cancer diagnostic delays, particularly for younger patients.
癌症诊断延迟会导致患者预后较差。在短时间的会诊中,全科医生(GP)会对癌症的可能性做出快速判断。患者的面部线索会被迅速处理,可能会影响诊断。
调查患者的面部特征是否会影响全科医生对癌症风险的即时认知。
对来自苏格兰东北部的全科医生进行基于网络的二项强制选择实验。
向全科医生展示一系列成对的面部原型,并要求他们快速选择更有可能患癌症的患者。面部在年龄、性别和种族方面进行了修改。使用卡方拟合优度统计和Bonferroni校正对选择结果进行分析。
82名全科医生参与了研究。全科医生更有可能怀疑老年患者患有癌症。性别会影响全科医生对癌症的怀疑,但这会受到年龄的影响:对于年轻(72%的全科医生;95%可信区间61.0 - 87.0)和中年面孔(65.9%;95%可信区间54.7 - 75.5),男性面孔被认为比女性面孔更有可能患癌症;但63.4%(95%可信区间52.2 - 73.3)的人认为老年女性比老年男性更有可能患癌症(p = 0.015)。与年轻亚洲男性相比,全科医生更有可能怀疑年轻的白种男性患有癌症(65.9%(95%可信区间54.7, 75.5))(p = 0.004)。
全科医生对癌症风险的第一印象受到患者年龄、性别和种族的影响。解决全科医生的认知偏差可能是减少癌症诊断延迟的一种有前景的方法,特别是对于年轻患者。