Lauren R DiPaolo, Kevin G Lynch, Erin Niedererr, Ryan M Bremseth-Vining, Kevin Kennedy, David W Oslin
{"title":"Using Measurement-Based Care to Inform Antidepressant Medication Management Among Veterans: A Pilot Study.","authors":"Lauren R DiPaolo, Kevin G Lynch, Erin Niedererr, Ryan M Bremseth-Vining, Kevin Kennedy, David W Oslin","doi":"10.1176/appi.ps.20250192","DOIUrl":null,"url":null,"abstract":"<p><strong>Objective: </strong>This pilot study examined the effectiveness of high and low measurement-based care (MBC) feedback strategies for depression treatment.</p><p><strong>Methods: </strong>Twenty providers at a U.S. Department of Veterans Affairs facility were randomly assigned to a no-feedback, low-feedback (automated collection and scoring of a depression self-report measure), or high-feedback (automated collection and scoring plus automated decision support) condition. Patients (N=336) completed the electronic version of the Patient Health Questionnaire-9 biweekly for 16 weeks. Outcomes included number of medication changes and depression symptom severity.</p><p><strong>Results: </strong>Patients completed 75% of the assessments. No statistically significant differences in medication changes or depression symptom severity were observed by condition. Approximately 46% of the patients received a medication change. The MBC groups had lower variability in management compared with the control group. Depression symptoms improved among all patients.</p><p><strong>Conclusions: </strong>MBC may reduce variability in medication management; however, automated collection was insufficient. Further research is needed to support implementation of all components of MBC.</p>","PeriodicalId":520759,"journal":{"name":"Psychiatric services (Washington, D.C.)","volume":" ","pages":"appips20250192"},"PeriodicalIF":3.2000,"publicationDate":"2026-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Psychiatric services (Washington, D.C.)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1176/appi.ps.20250192","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Objective: This pilot study examined the effectiveness of high and low measurement-based care (MBC) feedback strategies for depression treatment.
Methods: Twenty providers at a U.S. Department of Veterans Affairs facility were randomly assigned to a no-feedback, low-feedback (automated collection and scoring of a depression self-report measure), or high-feedback (automated collection and scoring plus automated decision support) condition. Patients (N=336) completed the electronic version of the Patient Health Questionnaire-9 biweekly for 16 weeks. Outcomes included number of medication changes and depression symptom severity.
Results: Patients completed 75% of the assessments. No statistically significant differences in medication changes or depression symptom severity were observed by condition. Approximately 46% of the patients received a medication change. The MBC groups had lower variability in management compared with the control group. Depression symptoms improved among all patients.
Conclusions: MBC may reduce variability in medication management; however, automated collection was insufficient. Further research is needed to support implementation of all components of MBC.