Zhang Yuqin, Sun Xuemei, Zhong Wen, Sun Dingkui, Gao Yingyan, Chen Xiyang, Zhang Weiru
Department of General Practice, Xiangya Hospital, Central South University, Changsha, Hunan, China.
Xiangya Hospital Central South University National Clinical Research Center for Geriatric Disorders, Changsha, Hunan, China.
BMJ Open. 2025 Apr 2;15(4):e094404. doi: 10.1136/bmjopen-2024-094404.
There is a shortage of reliable tools to evaluate general practitioners' (GPs) ability to recognise and manage depression. The main aim of this study was to develop and validate a reliable tool for assessing the GPs' ability to recognise and manage depression.
A cross-sectional survey incorporating the GPs' ability to recognise and manage the depression assessment scale, the work was administered between July 2023 and June 2024. GPs' ability to recognise and manage the depression assessment scale was developed in four phases: (1) item pool construction, (2) expert consultation, (3) exploratory factor analysis for further item reduction and to identify the factor structure of the revised scale and (4) confirmatory factor analyses to confirm the factors identified within the exploratory factor analysis.
Primary healthcare in China.
A total of 421 GPs participated in the study across phases 3 and 4. Phase 3 included 172 GPs, and phase 4 involved 249 GPs. They had been working in primary healthcare, with 44.42% having more than 10 years of experience. Of the participants, 57% were female.
The GPs' ability to recognise and manage the depression assessment scale comprised two dimensions, with 24 items. Two factors explained 66.62% of the items' variance through exploratory factor analysis. Confirmatory factor analysis two dimensions of the scale and produced appropriate Goodness of Fit Indexes. Reliability was robust, with composite reliability coefficients exceeding 0.60, Cronbach's alpha at 0.96 and a Spearman-Brown coefficient of 0.86.
The newly developed scale is a reliable and valid tool for assessing GPs' abilities to recognise and manage depression. It is suitable for large-scale surveys, particularly in underdeveloped regions, and can help identify gaps in knowledge. The scale results highlight areas where GPs' skills are lacking, enabling the design of targeted continuing education programmes. It can also assess the effectiveness of depression training courses, providing a foundation for tailored interventions.
目前缺乏评估全科医生(GP)识别和管理抑郁症能力的可靠工具。本研究的主要目的是开发并验证一种评估全科医生识别和管理抑郁症能力的可靠工具。
一项横断面调查,纳入了全科医生识别和管理抑郁症评估量表,该工作于2023年7月至2024年6月期间进行。全科医生识别和管理抑郁症评估量表的开发分为四个阶段:(1)条目池构建;(2)专家咨询;(3)探索性因素分析,以进一步减少条目并确定修订后量表的因素结构;(4)验证性因素分析,以确认探索性因素分析中确定的因素。
中国的基层医疗保健。
共有421名全科医生参与了第3阶段和第4阶段的研究。第3阶段包括172名全科医生,第4阶段涉及249名全科医生。他们一直在基层医疗保健领域工作,44.42%的人有超过10年的经验。参与者中,57%为女性。
全科医生识别和管理抑郁症评估量表包括两个维度,共24个条目。通过探索性因素分析,两个因素解释了66.62%的条目方差。验证性因素分析确认了量表的两个维度,并产生了合适的拟合优度指数。可靠性较强,组合信度系数超过0.60,克朗巴哈系数为0.96,斯皮尔曼-布朗系数为0.86。
新开发的量表是评估全科医生识别和管理抑郁症能力的可靠且有效的工具。它适用于大规模调查,特别是在欠发达地区,有助于发现知识差距。量表结果突出了全科医生技能欠缺的领域,有助于设计有针对性的继续教育项目。它还可以评估抑郁症培训课程的效果,为量身定制的干预措施提供基础。