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 seeti...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Administration and policy in mental health and mental health services research 2024-09, Vol.51 (5), p.674-685
Hauptverfasser: Lutz, Wolfgang, Schaffrath, Jana, Eberhardt, Steffen T., Hehlmann, Miriam I., Schwartz, Brian, Deisenhofer, Ann-Kathrin, Vehlen, Antonia, Schürmann, Stephanie Vaccarezza, Uhl, Jessica, Moggia, Danilo
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 685
container_issue 5
container_start_page 674
container_title Administration and policy in mental health and mental health services research
container_volume 51
creator Lutz, Wolfgang
Schaffrath, Jana
Eberhardt, Steffen T.
Hehlmann, Miriam I.
Schwartz, Brian
Deisenhofer, Ann-Kathrin
Vehlen, Antonia
Schürmann, Stephanie Vaccarezza
Uhl, Jessica
Moggia, Danilo
description 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.
doi_str_mv 10.1007/s10488-023-01330-6
format Article
fullrecord <record><control><sourceid>proquest_pubme</sourceid><recordid>TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_11379786</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2902971623</sourcerecordid><originalsourceid>FETCH-LOGICAL-c475t-40a1fd1d3a34ac579d3f98af2855099fc151934d2be6d02cfe80abc66577da0b3</originalsourceid><addsrcrecordid>eNp9kc1O3DAUhS1UBAPlBVhUkbph4_baTmK7mwpRWpCoilQqsbPuOM5MUMYOdoI6b4_p8NcuurKs-93jc3wIOWTwgQHIj4lBqRQFLigwIYDWW2TGKimo4Eq_ITNQuqSVkte7ZC-lGwDQteQ7ZFco0FpLNiPmMjrbpS744rvzI_bFmcN-XBbom-ILjkjPfRviyuXbE_hzGoYQx6LzxWVa22Xow6KzefVq6SIO60_FsS9Of-Nq6N1bst1in9zB47lPfn09vTo5oxc_vp2fHF9QW8pqpCUgaxvWCBQl2krqRrRaYctVVWWrrWUV06Js-NzVDXDbOgU4t3VdSdkgzMU--bzRHaZ5Nmtzloi9GWK3wrg2ATvz98R3S7MId4YxIbVUdVY4elSI4XZyaTSrLlnX9-hdmJLhGnj-spqLjL7_B70JU_Q5nxEsVyEZZypTfEPZGFKKrn12w8A8FGg2BZpcoPlToHlw8e51jueVp8YyIDZAyiO_cPHl7f_I3gO6F6cR</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>3101371218</pqid></control><display><type>article</type><title>Precision Mental Health and Data-Informed Decision Support in Psychological Therapy: An Example</title><source>Applied Social Sciences Index &amp; Abstracts (ASSIA)</source><source>SpringerLink Journals</source><source>Sociological Abstracts</source><creator>Lutz, Wolfgang ; Schaffrath, Jana ; Eberhardt, Steffen T. ; Hehlmann, Miriam I. ; Schwartz, Brian ; Deisenhofer, Ann-Kathrin ; Vehlen, Antonia ; Schürmann, Stephanie Vaccarezza ; Uhl, Jessica ; Moggia, Danilo</creator><creatorcontrib>Lutz, Wolfgang ; Schaffrath, Jana ; Eberhardt, Steffen T. ; Hehlmann, Miriam I. ; Schwartz, Brian ; Deisenhofer, Ann-Kathrin ; Vehlen, Antonia ; Schürmann, Stephanie Vaccarezza ; Uhl, Jessica ; Moggia, Danilo</creatorcontrib><description>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.</description><identifier>ISSN: 0894-587X</identifier><identifier>ISSN: 1573-3289</identifier><identifier>EISSN: 1573-3289</identifier><identifier>DOI: 10.1007/s10488-023-01330-6</identifier><identifier>PMID: 38099971</identifier><language>eng</language><publisher>New York: Springer US</publisher><subject>Blood pressure ; Clinical decision making ; Clinical medicine ; Clinical Psychology ; Clinical skills ; Clinical training ; Competence ; Computerization ; Data ; Decision making ; Health Administration ; Health indicators ; Health Informatics ; Health services ; Health status ; Measurement ; Medical decision making ; Medicine ; Medicine &amp; Public Health ; Mental health ; Mental health care ; Mental health services ; Original ; Original Article ; Patients ; Psychiatry ; Public Health ; Support networks ; Therapists ; Therapy</subject><ispartof>Administration and policy in mental health and mental health services research, 2024-09, Vol.51 (5), p.674-685</ispartof><rights>The Author(s) 2023</rights><rights>2023. The Author(s).</rights><rights>The Author(s) 2023. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>The Author(s) 2023 2023</rights><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c475t-40a1fd1d3a34ac579d3f98af2855099fc151934d2be6d02cfe80abc66577da0b3</citedby><cites>FETCH-LOGICAL-c475t-40a1fd1d3a34ac579d3f98af2855099fc151934d2be6d02cfe80abc66577da0b3</cites><orcidid>0000-0002-1069-0813 ; 0000-0001-5521-2535 ; 0000-0002-5141-3847 ; 0000-0002-9900-4671 ; 0000-0001-6321-4450 ; 0000-0003-0106-0243 ; 0000-0003-4695-4953 ; 0000-0002-5026-9951 ; 0000-0002-7952-9796 ; 0000-0002-6019-3161</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s10488-023-01330-6$$EPDF$$P50$$Gspringer$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s10488-023-01330-6$$EHTML$$P50$$Gspringer$$Hfree_for_read</linktohtml><link.rule.ids>230,314,776,780,881,27901,27902,30976,33751,41464,42533,51294</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/38099971$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Lutz, Wolfgang</creatorcontrib><creatorcontrib>Schaffrath, Jana</creatorcontrib><creatorcontrib>Eberhardt, Steffen T.</creatorcontrib><creatorcontrib>Hehlmann, Miriam I.</creatorcontrib><creatorcontrib>Schwartz, Brian</creatorcontrib><creatorcontrib>Deisenhofer, Ann-Kathrin</creatorcontrib><creatorcontrib>Vehlen, Antonia</creatorcontrib><creatorcontrib>Schürmann, Stephanie Vaccarezza</creatorcontrib><creatorcontrib>Uhl, Jessica</creatorcontrib><creatorcontrib>Moggia, Danilo</creatorcontrib><title>Precision Mental Health and Data-Informed Decision Support in Psychological Therapy: An Example</title><title>Administration and policy in mental health and mental health services research</title><addtitle>Adm Policy Ment Health</addtitle><addtitle>Adm Policy Ment Health</addtitle><description>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.</description><subject>Blood pressure</subject><subject>Clinical decision making</subject><subject>Clinical medicine</subject><subject>Clinical Psychology</subject><subject>Clinical skills</subject><subject>Clinical training</subject><subject>Competence</subject><subject>Computerization</subject><subject>Data</subject><subject>Decision making</subject><subject>Health Administration</subject><subject>Health indicators</subject><subject>Health Informatics</subject><subject>Health services</subject><subject>Health status</subject><subject>Measurement</subject><subject>Medical decision making</subject><subject>Medicine</subject><subject>Medicine &amp; Public Health</subject><subject>Mental health</subject><subject>Mental health care</subject><subject>Mental health services</subject><subject>Original</subject><subject>Original Article</subject><subject>Patients</subject><subject>Psychiatry</subject><subject>Public Health</subject><subject>Support networks</subject><subject>Therapists</subject><subject>Therapy</subject><issn>0894-587X</issn><issn>1573-3289</issn><issn>1573-3289</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><sourceid>C6C</sourceid><sourceid>7QJ</sourceid><sourceid>BHHNA</sourceid><recordid>eNp9kc1O3DAUhS1UBAPlBVhUkbph4_baTmK7mwpRWpCoilQqsbPuOM5MUMYOdoI6b4_p8NcuurKs-93jc3wIOWTwgQHIj4lBqRQFLigwIYDWW2TGKimo4Eq_ITNQuqSVkte7ZC-lGwDQteQ7ZFco0FpLNiPmMjrbpS744rvzI_bFmcN-XBbom-ILjkjPfRviyuXbE_hzGoYQx6LzxWVa22Xow6KzefVq6SIO60_FsS9Of-Nq6N1bst1in9zB47lPfn09vTo5oxc_vp2fHF9QW8pqpCUgaxvWCBQl2krqRrRaYctVVWWrrWUV06Js-NzVDXDbOgU4t3VdSdkgzMU--bzRHaZ5Nmtzloi9GWK3wrg2ATvz98R3S7MId4YxIbVUdVY4elSI4XZyaTSrLlnX9-hdmJLhGnj-spqLjL7_B70JU_Q5nxEsVyEZZypTfEPZGFKKrn12w8A8FGg2BZpcoPlToHlw8e51jueVp8YyIDZAyiO_cPHl7f_I3gO6F6cR</recordid><startdate>20240901</startdate><enddate>20240901</enddate><creator>Lutz, Wolfgang</creator><creator>Schaffrath, Jana</creator><creator>Eberhardt, Steffen T.</creator><creator>Hehlmann, Miriam I.</creator><creator>Schwartz, Brian</creator><creator>Deisenhofer, Ann-Kathrin</creator><creator>Vehlen, Antonia</creator><creator>Schürmann, Stephanie Vaccarezza</creator><creator>Uhl, Jessica</creator><creator>Moggia, Danilo</creator><general>Springer US</general><general>Springer Nature B.V</general><scope>C6C</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7QJ</scope><scope>7U3</scope><scope>BHHNA</scope><scope>K9.</scope><scope>7X8</scope><scope>5PM</scope><orcidid>https://orcid.org/0000-0002-1069-0813</orcidid><orcidid>https://orcid.org/0000-0001-5521-2535</orcidid><orcidid>https://orcid.org/0000-0002-5141-3847</orcidid><orcidid>https://orcid.org/0000-0002-9900-4671</orcidid><orcidid>https://orcid.org/0000-0001-6321-4450</orcidid><orcidid>https://orcid.org/0000-0003-0106-0243</orcidid><orcidid>https://orcid.org/0000-0003-4695-4953</orcidid><orcidid>https://orcid.org/0000-0002-5026-9951</orcidid><orcidid>https://orcid.org/0000-0002-7952-9796</orcidid><orcidid>https://orcid.org/0000-0002-6019-3161</orcidid></search><sort><creationdate>20240901</creationdate><title>Precision Mental Health and Data-Informed Decision Support in Psychological Therapy: An Example</title><author>Lutz, Wolfgang ; Schaffrath, Jana ; Eberhardt, Steffen T. ; Hehlmann, Miriam I. ; Schwartz, Brian ; Deisenhofer, Ann-Kathrin ; Vehlen, Antonia ; Schürmann, Stephanie Vaccarezza ; Uhl, Jessica ; Moggia, Danilo</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c475t-40a1fd1d3a34ac579d3f98af2855099fc151934d2be6d02cfe80abc66577da0b3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>Blood pressure</topic><topic>Clinical decision making</topic><topic>Clinical medicine</topic><topic>Clinical Psychology</topic><topic>Clinical skills</topic><topic>Clinical training</topic><topic>Competence</topic><topic>Computerization</topic><topic>Data</topic><topic>Decision making</topic><topic>Health Administration</topic><topic>Health indicators</topic><topic>Health Informatics</topic><topic>Health services</topic><topic>Health status</topic><topic>Measurement</topic><topic>Medical decision making</topic><topic>Medicine</topic><topic>Medicine &amp; Public Health</topic><topic>Mental health</topic><topic>Mental health care</topic><topic>Mental health services</topic><topic>Original</topic><topic>Original Article</topic><topic>Patients</topic><topic>Psychiatry</topic><topic>Public Health</topic><topic>Support networks</topic><topic>Therapists</topic><topic>Therapy</topic><toplevel>online_resources</toplevel><creatorcontrib>Lutz, Wolfgang</creatorcontrib><creatorcontrib>Schaffrath, Jana</creatorcontrib><creatorcontrib>Eberhardt, Steffen T.</creatorcontrib><creatorcontrib>Hehlmann, Miriam I.</creatorcontrib><creatorcontrib>Schwartz, Brian</creatorcontrib><creatorcontrib>Deisenhofer, Ann-Kathrin</creatorcontrib><creatorcontrib>Vehlen, Antonia</creatorcontrib><creatorcontrib>Schürmann, Stephanie Vaccarezza</creatorcontrib><creatorcontrib>Uhl, Jessica</creatorcontrib><creatorcontrib>Moggia, Danilo</creatorcontrib><collection>Springer Nature OA Free Journals</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Applied Social Sciences Index &amp; Abstracts (ASSIA)</collection><collection>Social Services Abstracts</collection><collection>Sociological Abstracts</collection><collection>ProQuest Health &amp; Medical Complete (Alumni)</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Administration and policy in mental health and mental health services research</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Lutz, Wolfgang</au><au>Schaffrath, Jana</au><au>Eberhardt, Steffen T.</au><au>Hehlmann, Miriam I.</au><au>Schwartz, Brian</au><au>Deisenhofer, Ann-Kathrin</au><au>Vehlen, Antonia</au><au>Schürmann, Stephanie Vaccarezza</au><au>Uhl, Jessica</au><au>Moggia, Danilo</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Precision Mental Health and Data-Informed Decision Support in Psychological Therapy: An Example</atitle><jtitle>Administration and policy in mental health and mental health services research</jtitle><stitle>Adm Policy Ment Health</stitle><addtitle>Adm Policy Ment Health</addtitle><date>2024-09-01</date><risdate>2024</risdate><volume>51</volume><issue>5</issue><spage>674</spage><epage>685</epage><pages>674-685</pages><issn>0894-587X</issn><issn>1573-3289</issn><eissn>1573-3289</eissn><abstract>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.</abstract><cop>New York</cop><pub>Springer US</pub><pmid>38099971</pmid><doi>10.1007/s10488-023-01330-6</doi><tpages>12</tpages><orcidid>https://orcid.org/0000-0002-1069-0813</orcidid><orcidid>https://orcid.org/0000-0001-5521-2535</orcidid><orcidid>https://orcid.org/0000-0002-5141-3847</orcidid><orcidid>https://orcid.org/0000-0002-9900-4671</orcidid><orcidid>https://orcid.org/0000-0001-6321-4450</orcidid><orcidid>https://orcid.org/0000-0003-0106-0243</orcidid><orcidid>https://orcid.org/0000-0003-4695-4953</orcidid><orcidid>https://orcid.org/0000-0002-5026-9951</orcidid><orcidid>https://orcid.org/0000-0002-7952-9796</orcidid><orcidid>https://orcid.org/0000-0002-6019-3161</orcidid><oa>free_for_read</oa></addata></record>
fulltext fulltext
identifier ISSN: 0894-587X
ispartof Administration and policy in mental health and mental health services research, 2024-09, Vol.51 (5), p.674-685
issn 0894-587X
1573-3289
1573-3289
language eng
recordid cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_11379786
source Applied Social Sciences Index & Abstracts (ASSIA); SpringerLink Journals; Sociological Abstracts
subjects Blood pressure
Clinical decision making
Clinical medicine
Clinical Psychology
Clinical skills
Clinical training
Competence
Computerization
Data
Decision making
Health Administration
Health indicators
Health Informatics
Health services
Health status
Measurement
Medical decision making
Medicine
Medicine & Public Health
Mental health
Mental health care
Mental health services
Original
Original Article
Patients
Psychiatry
Public Health
Support networks
Therapists
Therapy
title Precision Mental Health and Data-Informed Decision Support in Psychological Therapy: An Example
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-10T15%3A12%3A49IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_pubme&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Precision%20Mental%20Health%20and%20Data-Informed%20Decision%20Support%20in%20Psychological%20Therapy:%20An%20Example&rft.jtitle=Administration%20and%20policy%20in%20mental%20health%20and%20mental%20health%20services%20research&rft.au=Lutz,%20Wolfgang&rft.date=2024-09-01&rft.volume=51&rft.issue=5&rft.spage=674&rft.epage=685&rft.pages=674-685&rft.issn=0894-587X&rft.eissn=1573-3289&rft_id=info:doi/10.1007/s10488-023-01330-6&rft_dat=%3Cproquest_pubme%3E2902971623%3C/proquest_pubme%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=3101371218&rft_id=info:pmid/38099971&rfr_iscdi=true