Literature DB >> 30834167

Measurement-based Care in Psychiatry-Past, Present, and Future.

Ahmed Aboraya1,2,3,4,5,6,7,8,9, Henry A Nasrallah1,2,3,4,5,6,7,8,9, Daniel E Elswick1,2,3,4,5,6,7,8,9, Elshazly Ahmed1,2,3,4,5,6,7,8,9, Nevine Estephan1,2,3,4,5,6,7,8,9, Dalia Aboraya1,2,3,4,5,6,7,8,9, Seher Berzingi1,2,3,4,5,6,7,8,9, Josleen Chumbers1,2,3,4,5,6,7,8,9, Sara Berzingi1,2,3,4,5,6,7,8,9, John Justice1,2,3,4,5,6,7,8,9, Jawad Zafar1,2,3,4,5,6,7,8,9, Sheena Dohar1,2,3,4,5,6,7,8,9.   

Abstract

The authors define measurement-based care (MBC) in psychiatry as the use of validated clinical measurement instruments to objectify the assessment, treatment, and clinical outcomes, including efficacy, safety, tolerability, functioning, and quality of life, in patients with psychiatric disorders. MBC includes two processes: routine assessments, such as measuring the severity of symptoms with rating scales, and the use of assessments in decision-making. MBC implementation was tested in the Texas Medication Algorithm Project and the German Algorithm Project and has been shown to improve patient outcomes. Even though more recent research has shown the many benefits of MBC compared to the usual care, MBC is still not the standard of care in psychiatric practice. This review article addresses the advantages of MBC, the barriers to implementing MBC in clinical practice, and the basic properties of MBC instruments. Recent developments in the 21st century that are expected to accelerate the adoption of MBC in clinical practice, including electronic health records, health information technology, and the development of the Standard for Clinicians' lnterview in Psychiatry (SCIP) as an MBC tool, will be reviewed. The authors recommend including MBC in psychiatry residency training to promote its use in future generations.

Entities:  

Keywords:  Measurement-based care (MBC); Standard for Clinicians’ lnterview in Psychiatry (SCIP); assessment; assessment tool; clinical trial; outcomes measures; psychopathology; rating scale; reliability; validity

Year:  2018        PMID: 30834167      PMCID: PMC6380611     

Source DB:  PubMed          Journal:  Innov Clin Neurosci        ISSN: 2158-8333


  11 in total

Review 1.  A systematic search and critical review of studies evaluating psychometric properties of patient-reported outcome measures for schizophrenia.

Authors:  Benjamin Buck; Emily C Gagen; Tate F Halverson; Arundati Nagendra; Kelsey A Ludwig; John C Fortney
Journal:  J Psychiatr Res       Date:  2021-12-27       Impact factor: 4.791

2.  Evaluation of Early Ketamine Effects on Belief-Updating Biases in Patients With Treatment-Resistant Depression.

Authors:  Hugo Bottemanne; Orphee Morlaas; Anne Claret; Tali Sharot; Philippe Fossati; Liane Schmidt
Journal:  JAMA Psychiatry       Date:  2022-09-28       Impact factor: 25.911

3.  Best practice model for outpatient psychiatric pharmacy practice, part 2: Confirmation of the attribute statements.

Authors:  Kelly C Lee; Richard J Silvia; Gregory H Payne; Tera D Moore; Elayne D Ansara; Clint A Ross
Journal:  Ment Health Clin       Date:  2022-04-14

4.  Measurement-based care educational programmes for clinical trainees in mental healthcare: a scoping review protocol.

Authors:  David Eli Freedman; Andrea Evelyn Waddell; Henry Lam; Alexander Bourdon; Karen Wang
Journal:  BMJ Open       Date:  2021-10-20       Impact factor: 2.692

5.  Optimization of measurement-based care (OMBC) for depression based on all-round and continuous assessment: rationale and protocol for a multicenter randomized control clinical trial.

Authors:  Jingjing Zhou; Xiao Wang; Jian Yang; Xuequan Zhu; Le Xiao; Lei Feng; Gang Wang
Journal:  Trials       Date:  2022-05-03       Impact factor: 2.728

6.  Concordance between clinician-rated and patient reported outcome measures of depressive symptoms in treatment resistant depression.

Authors:  Rachel Hershenberg; William M McDonald; Andrea Crowell; Patricio Riva-Posse; W Edward Craighead; Helen S Mayberg; Boadie W Dunlop
Journal:  J Affect Disord       Date:  2020-01-22       Impact factor: 4.839

7.  Clinically Significant Changes in the 17- and 6-Item Hamilton Rating Scales for Depression: A STAR*D Report.

Authors:  Augustus John Rush; Charles South; Shailesh Jain; Raafae Agha; Mingxu Zhang; Shristi Shrestha; Zershana Khan; Mudasar Hassan; Madhukar H Trivedi
Journal:  Neuropsychiatr Dis Treat       Date:  2021-07-14       Impact factor: 2.570

8.  What do clinicians want? Understanding frontline addiction treatment clinicians' preferences and priorities to improve the design of measurement-based care technology.

Authors:  Justin S Tauscher; Eliza B Cohn; Tascha R Johnson; Kaylie D Diteman; Richard K Ries; David C Atkins; Kevin A Hallgren
Journal:  Addict Sci Clin Pract       Date:  2021-06-15

Review 9.  How Are Information and Communication Technologies Supporting Routine Outcome Monitoring and Measurement-Based Care in Psychotherapy? A Systematic Review.

Authors:  Patricia Gual-Montolio; Verónica Martínez-Borba; Juana María Bretón-López; Jorge Osma; Carlos Suso-Ribera
Journal:  Int J Environ Res Public Health       Date:  2020-05-02       Impact factor: 3.390

10.  Development and Validation of a Machine Learning Individualized Treatment Rule in First-Episode Schizophrenia.

Authors:  Chi-Shin Wu; Alex R Luedtke; Ekaterina Sadikova; Hui-Ju Tsai; Shih-Cheng Liao; Chen-Chung Liu; Susan Shur-Fen Gau; Tyler J VanderWeele; Ronald C Kessler
Journal:  JAMA Netw Open       Date:  2020-02-05
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