{"title":"以数据为依据的心理治疗、基于测量的护理和精准心理健康。","authors":"Wolfgang Lutz, Antonia Vehlen, Brian Schwartz","doi":"10.1037/ccp0000904","DOIUrl":null,"url":null,"abstract":"<p><p>Measurement-based care, that is, incorporating data-informed decision support for therapists into psychological therapy, has undergone significant advancements over the past 2 decades. Technological innovations such as computerized data assessment and feedback tools have facilitated its widespread adoption across various settings. For instance, clinicians can utilize psychometric data to personalize therapeutic approaches, strategies, or modules and track a patient's response to therapy in real time (e.g., Lutz, Schwartz, & Delgadillo, 2022). Furthermore, new algorithm-based clinical support tools used within measurement-based care can optimize treatment for such patients at risk for treatment failure. Consequently, measurement-based care is evolving into a data-informed and precision psychological therapy concept that can be viewed as a low-intensity transtheoretical adjunct to evidence-based treatments. It can be integrated at multiple care points into clinical practice regardless of the clinical modality, manual, or program used in a given health care system. Therefore, it emerges as an important component of clinical competence, practice, and training, akin to continuous monitoring of physical health indicators (e.g., insulin, fever, or blood pressure). In this viewpoint article, we summarize the core concepts of data-informed psychological therapy that customizes individual psychological interventions to meet specific patient needs. We also explore implications and future steps to integrate this approach into clinical practice <i>and further advance precision mental health care</i>. (PsycInfo Database Record (c) 2024 APA, all rights reserved).</p>","PeriodicalId":15447,"journal":{"name":"Journal of consulting and clinical psychology","volume":"92 10","pages":"671-673"},"PeriodicalIF":4.5000,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Data-informed psychological therapy, measurement-based care, and precision mental health.\",\"authors\":\"Wolfgang Lutz, Antonia Vehlen, Brian Schwartz\",\"doi\":\"10.1037/ccp0000904\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>Measurement-based care, that is, incorporating data-informed decision support for therapists into psychological therapy, has undergone significant advancements over the past 2 decades. Technological innovations such as computerized data assessment and feedback tools have facilitated its widespread adoption across various settings. For instance, clinicians can utilize psychometric data to personalize therapeutic approaches, strategies, or modules and track a patient's response to therapy in real time (e.g., Lutz, Schwartz, & Delgadillo, 2022). Furthermore, new algorithm-based clinical support tools used within measurement-based care can optimize treatment for such patients at risk for treatment failure. Consequently, measurement-based care is evolving into a data-informed and precision psychological therapy concept that can be viewed as a low-intensity transtheoretical adjunct to evidence-based treatments. It can be integrated at multiple care points into clinical practice regardless of the clinical modality, manual, or program used in a given health care system. Therefore, it emerges as an important component of clinical competence, practice, and training, akin to continuous monitoring of physical health indicators (e.g., insulin, fever, or blood pressure). In this viewpoint article, we summarize the core concepts of data-informed psychological therapy that customizes individual psychological interventions to meet specific patient needs. We also explore implications and future steps to integrate this approach into clinical practice <i>and further advance precision mental health care</i>. (PsycInfo Database Record (c) 2024 APA, all rights reserved).</p>\",\"PeriodicalId\":15447,\"journal\":{\"name\":\"Journal of consulting and clinical psychology\",\"volume\":\"92 10\",\"pages\":\"671-673\"},\"PeriodicalIF\":4.5000,\"publicationDate\":\"2024-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of consulting and clinical psychology\",\"FirstCategoryId\":\"102\",\"ListUrlMain\":\"https://doi.org/10.1037/ccp0000904\",\"RegionNum\":1,\"RegionCategory\":\"心理学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"PSYCHOLOGY, CLINICAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of consulting and clinical psychology","FirstCategoryId":"102","ListUrlMain":"https://doi.org/10.1037/ccp0000904","RegionNum":1,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"PSYCHOLOGY, CLINICAL","Score":null,"Total":0}
引用次数: 0
摘要
以测量为基础的护理,即在心理治疗中为治疗师提供以数据为依据的决策支持,在过去二十年间取得了长足的进步。计算机化数据评估和反馈工具等技术创新促进了其在各种环境中的广泛应用。例如,临床医生可以利用心理测量数据来个性化治疗方法、策略或模块,并实时跟踪患者对治疗的反应(例如,Lutz, Schwartz, & Delgadillo, 2022)。此外,在基于测量的护理中使用的基于算法的新临床支持工具可以优化对这类有治疗失败风险的患者的治疗。因此,基于测量的护理正在发展成为一种以数据为依据的精准心理治疗概念,可被视为循证治疗的低强度跨理论辅助手段。无论在特定的医疗保健系统中使用哪种临床模式、手册或方案,它都可以在多个护理点与临床实践相结合。因此,它已成为临床能力、实践和培训的重要组成部分,类似于对身体健康指标(如胰岛素、发烧或血压)的持续监测。在这篇观点文章中,我们总结了以数据为依据的心理疗法的核心理念,即根据患者的具体需求定制个性化的心理干预措施。我们还探讨了将这种方法融入临床实践的意义和未来步骤,并进一步推进精准心理保健。(PsycInfo Database Record (c) 2024 APA,保留所有权利)。
Data-informed psychological therapy, measurement-based care, and precision mental health.
Measurement-based care, that is, incorporating data-informed decision support for therapists into psychological therapy, has undergone significant advancements over the past 2 decades. Technological innovations such as computerized data assessment and feedback tools have facilitated its widespread adoption across various settings. For instance, clinicians can utilize psychometric data to personalize therapeutic approaches, strategies, or modules and track a patient's response to therapy in real time (e.g., Lutz, Schwartz, & Delgadillo, 2022). Furthermore, new algorithm-based clinical support tools used within measurement-based care can optimize treatment for such patients at risk for treatment failure. Consequently, measurement-based care is evolving into a data-informed and precision psychological therapy concept that can be viewed as a low-intensity transtheoretical adjunct to evidence-based treatments. It can be integrated at multiple care points into clinical practice regardless of the clinical modality, manual, or program used in a given health care system. Therefore, it emerges as an important component of clinical competence, practice, and training, akin to continuous monitoring of physical health indicators (e.g., insulin, fever, or blood pressure). In this viewpoint article, we summarize the core concepts of data-informed psychological therapy that customizes individual psychological interventions to meet specific patient needs. We also explore implications and future steps to integrate this approach into clinical practice and further advance precision mental health care. (PsycInfo Database Record (c) 2024 APA, all rights reserved).
期刊介绍:
The Journal of Consulting and Clinical Psychology® (JCCP) publishes original contributions on the following topics: the development, validity, and use of techniques of diagnosis and treatment of disordered behaviorstudies of a variety of populations that have clinical interest, including but not limited to medical patients, ethnic minorities, persons with serious mental illness, and community samplesstudies that have a cross-cultural or demographic focus and are of interest for treating behavior disordersstudies of personality and of its assessment and development where these have a clear bearing on problems of clinical dysfunction and treatmentstudies of gender, ethnicity, or sexual orientation that have a clear bearing on diagnosis, assessment, and treatmentstudies of psychosocial aspects of health behaviors. Studies that focus on populations that fall anywhere within the lifespan are considered. JCCP welcomes submissions on treatment and prevention in all areas of clinical and clinical–health psychology and especially on topics that appeal to a broad clinical–scientist and practitioner audience. JCCP encourages the submission of theory–based interventions, studies that investigate mechanisms of change, and studies of the effectiveness of treatments in real-world settings. JCCP recommends that authors of clinical trials pre-register their studies with an appropriate clinical trial registry (e.g., ClinicalTrials.gov, ClinicalTrialsRegister.eu) though both registered and unregistered trials will continue to be considered at this time.