Wolfgang Lutz, Jana Schaffrath, Steffen T. Eberhardt, Miriam I. Hehlmann, Brian Schwartz, Ann-Kathrin Deisenhofer, Antonia Vehlen, Stephanie Vaccarezza Schürmann, Jessica Uhl, Danilo Moggia
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Furthermore, clinical support tools can be used to improve the treatment for patients at risk for a negative outcome. Therefore, measurement-based care can be seen as an important and integral part of clinical competence, practice, and training. This is comparable to many other areas in the healthcare system, where continuous monitoring of health indicators is common in day-to-day clinical practice (e.g., fever, blood pressure). In this paper, we present the basic concepts of a data-informed decision support system for tailoring individual psychological interventions to specific patient needs, and discuss the implications for implementing this form of precision mental health in clinical practice.</p></div>","PeriodicalId":7195,"journal":{"name":"Administration and Policy in Mental Health and Mental Health Services Research","volume":"51 5","pages":"674 - 685"},"PeriodicalIF":2.0000,"publicationDate":"2023-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11379786/pdf/","citationCount":"0","resultStr":"{\"title\":\"Precision Mental Health and Data-Informed Decision Support in Psychological Therapy: An Example\",\"authors\":\"Wolfgang Lutz, Jana Schaffrath, Steffen T. Eberhardt, Miriam I. 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Precision Mental Health and Data-Informed Decision Support in Psychological Therapy: An Example
Outcome measurement including data-informed decision support for therapists in psychological therapy has developed impressively over the past two decades. New technological developments such as computerized data assessment, and feedback tools have facilitated advanced implementation in several seetings. Recent developments try to improve the clinical decision-making process by connecting clinical practice better with empirical data. For example, psychometric data can be used by clinicians to personalize the selection of therapeutic programs, strategies or modules and to monitor a patient’s response to therapy in real time. Furthermore, clinical support tools can be used to improve the treatment for patients at risk for a negative outcome. Therefore, measurement-based care can be seen as an important and integral part of clinical competence, practice, and training. This is comparable to many other areas in the healthcare system, where continuous monitoring of health indicators is common in day-to-day clinical practice (e.g., fever, blood pressure). In this paper, we present the basic concepts of a data-informed decision support system for tailoring individual psychological interventions to specific patient needs, and discuss the implications for implementing this form of precision mental health in clinical practice.
期刊介绍:
The aim of Administration and Policy in Mental Health and Mental Health Services is to improve mental health services through research. This journal primarily publishes peer-reviewed, original empirical research articles. The journal also welcomes systematic reviews. Please contact the editor if you have suggestions for special issues or sections focusing on important contemporary issues. The journal usually does not publish articles on drug or alcohol addiction unless it focuses on persons who are dually diagnosed. Manuscripts on children and adults are equally welcome. Topics for articles may include, but need not be limited to, effectiveness of services, measure development, economics of mental health services, managed mental health care, implementation of services, staffing, leadership, organizational relations and policy, and the like. Please review previously published articles for fit with our journal before submitting your manuscript.