Swisher Valerie S, Őri Dorottya, Rihmer Zoltán, Wernigg Róbert
The Pennsylvania State University, State College, PA, USA.
Institute of Behavioural Sciences, Semmelweis University, Budapest, Hungary.
Ann Gen Psychiatry. 2025 Jan 28;24(1):6. doi: 10.1186/s12991-024-00539-5.
This study examined mental health literacy and predictors of disorder recognition among primary care providers (PCPs) in Hungary.
208 PCPs in Hungary completed a survey assessing demographics, mental health stigma, and exposure to mental health (i.e., personal experiences and having a family member/friend with a mental health condition). Participants read six vignettes describing obsessive-compulsive disorder (OCD) harm/aggression subtype (OCD-Aggression), OCD order/symmetry subtype (OCD-Order), generalized anxiety disorder (GAD), social anxiety disorder (SAD), panic disorder (PD), and major depressive disorder (MDD) and were asked to identify each condition, perceived disorder causes, and provide treatment referrals. Descriptive analyses were used to characterize disorder recognition rates, perceived disorder causes, and treatment referrals. Binary logistic regression analyses were conducted to examine the degree to which demographic characteristics, mental health stigma, and exposure to mental health conditions predict accurate disorder recognition.
Identification rates for each vignette were: OCD-Aggression (27.9%), OCD-Order (75.5%), SAD (34.1%), GAD (76.0%), PD (78.8%), and MDD (91.3%). First-choice treatment referrals were a psychiatrist for OCD-Aggression (63.0%), OCD-Order (53.8%), and MDD (46.6%), a psychologist/therapist for SAD (58.7%) and GAD (48.6%), and a PCP for PD (39.9%). Mislabeling conditions was significantly associated with older age (for GAD, OCD-Aggression, PD and MDD), male gender (for GAD), greater mental health stigma (for OCD-Order), and lack of exposure to mental health conditions (for SAD).
Findings highlight strengths (e.g., depression recognition) and limitations in knowledge of mental health conditions among PCPs in Hungary and identifies targets to address to improve mental health literacy.
本研究调查了匈牙利初级保健提供者(PCP)的心理健康素养及疾病识别的预测因素。
匈牙利的208名初级保健提供者完成了一项调查,评估人口统计学特征、心理健康污名以及心理健康暴露情况(即个人经历以及家庭成员/朋友患有心理健康问题)。参与者阅读了六个描述强迫症(OCD)伤害/攻击亚型(OCD-攻击型)、OCD秩序/对称亚型(OCD-秩序型)、广泛性焦虑症(GAD)、社交焦虑症(SAD)、惊恐障碍(PD)和重度抑郁症(MDD)的病例 vignette,并被要求识别每种病症、感知到的病症原因并提供治疗转诊建议。描述性分析用于描述疾病识别率、感知到的病症原因和治疗转诊情况。进行二元逻辑回归分析,以检验人口统计学特征、心理健康污名以及心理健康暴露情况对准确疾病识别的预测程度。
每个病例 vignette 的识别率分别为:OCD-攻击型(27.9%)、OCD-秩序型(75.5%)、SAD(34.1%)、GAD(76.0%)、PD(78.8%)和MDD(91.3%)。首选治疗转诊情况为:OCD-攻击型(63.0%)、OCD-秩序型(53.8%)和MDD(46.6%)转诊至精神科医生,SAD(58.7%)和GAD(48.6%)转诊至心理学家/治疗师,PD(39.9%)转诊至初级保健提供者。错误标记病症与年龄较大(针对GAD、OCD-攻击型、PD和MDD)、男性(针对GAD)、更高的心理健康污名(针对OCD-秩序型)以及缺乏心理健康暴露情况(针对SAD)显著相关。
研究结果突出了匈牙利初级保健提供者在心理健康状况知识方面的优势(如抑郁症识别)和局限性,并确定了提高心理健康素养需要解决的目标。