Moriarty Andrew S, Castleton Joanne, McMillan Dean, Riley Richard D, Snell Kym I E, Archer Lucinda, Paton Lewis W, Gilbody Simon, Chew-Graham Carolyn A
Department of Health Sciences, Hull York Medical School, University of York, York, UK.
School of Medicine, Keele University, Keele, UK.
Health Expect. 2024 Dec;27(6):e70059. doi: 10.1111/hex.70059.
Prediction models are increasingly being used to guide clinical decision making in primary care. There is a lack of evidence exploring the views of patients and general practitioners (GPs) in primary care around their use and implementation. We aimed to better understand the perspectives of GPs and people with lived experience of depression around the use of prediction models and communication of risk in primary care.
Qualitative methods were used. Data were generated over 6 months (April to October 2022) through semi-structured interviews with 23 people with lived experience of depression and 22 GPs. A multidisciplinary research team and Patient Advisory Group were involved throughout the study. Data were analysed inductively using thematic analysis.
GPs describe using prediction models in consultations only when the models are either perceived to be useful (e.g., because they help address an important clinical problem) or if GPs feel compelled to use them to meet financial or contractual targets. These two situations are not mutually exclusive, but if neither criterion is met, a model is unlikely to be used in practice. People with lived experience of depression and GPs reported that communication of model outputs should involve a combination of risk categories, numerical information and visualisations, with discussions being tailored to the individual patients involved. Risk prediction in a mental health context was perceived to be more challenging than for physical health conditions.
Clinical prediction models are used in practice but thought must be given at the study development stage to how results will be presented and discussed with patients. Meaningful, embedded public and patient involvement and engagement are recommended when developing or implementing clinical prediction models.
We used a combination of embedded consultation and collaboration/co-production in our approach to public and patient involvement in this study. A Patient Advisory Group made up of people with lived experience of depression were involved from study conception and contributed to study design, participant recruitment, interpretation of findings and dissemination (including in the preparation of this manuscript).
预测模型越来越多地被用于指导初级保健中的临床决策。目前缺乏证据探讨初级保健中的患者和全科医生(GP)对其使用和实施的看法。我们旨在更好地了解全科医生以及有抑郁症生活经历的人对初级保健中预测模型的使用和风险沟通的看法。
采用定性方法。在2022年4月至10月的6个月时间里,通过对23名有抑郁症生活经历的人和22名全科医生进行半结构化访谈收集数据。一个多学科研究团队和患者咨询小组参与了整个研究过程。使用主题分析法对数据进行归纳分析。
全科医生表示,只有当模型被认为有用(例如,因为它们有助于解决重要的临床问题)或者全科医生觉得必须使用它们以达到财务或合同目标时,才会在会诊中使用预测模型。这两种情况并非相互排斥,但如果两个标准都不满足,模型在实践中不太可能被使用。有抑郁症生活经历的人和全科医生报告称,模型输出结果的沟通应包括风险类别、数值信息和可视化的组合,并根据所涉及的个体患者进行针对性讨论。心理健康背景下的风险预测被认为比身体健康状况更具挑战性。
临床预测模型在实践中得到应用,但在研究开发阶段必须考虑如何向患者呈现和讨论结果。在开发或实施临床预测模型时,建议有意义地让公众和患者参与其中。
在本研究中,我们采用了嵌入式咨询与合作/共同生产相结合的方法让公众和患者参与进来。一个由有抑郁症生活经历的人组成的患者咨询小组从研究构思阶段就参与其中,并为研究设计、参与者招募、结果解读和传播(包括撰写本手稿)做出了贡献。