Biba Ursula, Gregoire Samantha, Sanchez Katherine, Mesinkovska Natasha Atanaskova, Waldman Monique Margaret, Anderson Lisa, Mostaghimi Arash
Department of Dermatology, Brigham and Women's Hospital, Boston, MA, USA.
David Geffen School of Medicine at University of California Los Angeles, Los Angeles, CA, USA.
Skin Appendage Disord. 2025 May 8:1-7. doi: 10.1159/000546216.
People with alopecia areata (AA) experience stigma, but little is known about how this affects healthcare interaction (HCI). We aim to explore the relationship between stigma and HCI in AA.
A cross-sectional survey of 500 members of the National Alopecia Areata Foundation was performed. Survey items related to stigma and HCI were summed and sorted into low, medium, and high tertiles. Multinomial logistic regressions were performed to control for demographic and clinical factors.
Respondents ( = 500) were white (80.0%), female (86.2%), and insured (96.0%), with a plurality earning over USD 100,000 annually (34.2%). Participants in the high-stigma subgroup were more likely to be in the low-HCI subgroup (relative risk ratio [RRR]: 2.22; 95% CI: 1.31-3.76; = 0.003), in comparison to participants in the low- or moderate-stigma subgroups (RRR for both: 0.45; < 0.05). This relationship was independent of demographics and clinical characteristics. However, data are from a population with limited socioeconomic diversity and high baseline healthcare engagement.
People with AA who experience high stigma are less likely to interact with the healthcare system, which cannot be explained by demographics or clinical factors. Stigma and HCI may be related in a dose-dependent manner, and future investigation is needed to support access to care.
斑秃(AA)患者会遭受污名化,但对于这如何影响医疗互动(HCI)却知之甚少。我们旨在探讨AA患者污名与医疗互动之间的关系。
对全国斑秃基金会的500名成员进行了横断面调查。将与污名和医疗互动相关的调查项目进行汇总,并分为低、中、高三分位数。进行多项逻辑回归以控制人口统计学和临床因素。
受访者(n = 500)为白人(80.0%)、女性(86.2%)且有保险(96.0%),多数人年收入超过10万美元(34.2%)。与低污名或中等污名亚组的参与者相比,高污名亚组的参与者更有可能处于低医疗互动亚组(相对风险比[RRR]:2.22;第95百分位数置信区间:1.31 - 3.76;P = 0.003)(两者的RRR均为:0.45;P < 0.05)。这种关系独立于人口统计学和临床特征。然而,数据来自社会经济多样性有限且基线医疗参与度高的人群。
遭受高污名的AA患者与医疗系统互动的可能性较小,这无法用人口统计学或临床因素来解释。污名与医疗互动可能呈剂量依赖关系,未来需要进行调查以支持获得医疗服务。