The DOI matches its Crossref record; 89 of the 90 references it cites were found in a registry or an index.
Implementing Measurement-Based Care in Behavioral Health: A Review
Open accessAbstract
Importance: Measurement-based care (MBC) is the systematic evaluation of patient symptoms before or during an encounter to inform behavioral health treatment. Despite MBC's demonstrated ability to enhance usual care by expediting improvements and rapidly detecting patients whose health would otherwise deteriorate, it is underused, with typically less than 20% of behavioral health practitioners integrating it into their practice. This narrative review addresses definitional issues, offers a concrete and evaluable operationalization of MBC fidelity, and summarizes the evidence base and utility of MBC. It also synthesizes the extant literature's characterization of barriers to and strategies for supporting MBC implementation, sustainment, and scale-up. Observations: Barriers to implementing MBC occur at multiple levels: patient (eg, concerns about confidentiality breach), practitioner (eg, beliefs that measures are no better than clinical judgment), organization (eg, no resources for training), and system (eg, competing requirements). Implementation science-the study of methods to integrate evidence-based practices such as MBC into routine care-offers strategies to address barriers. These strategies include using measurement feedback systems, leveraging local champions, forming learning collaboratives, training leadership, improving expert consultation with clinical staff, and generating incentives. Conclusions and Relevance: This narrative review, informed by implementation science, offers a 10-point research agenda to improve the integration of MBC into clinical practice: (1) harmonize terminology and specify MBC's core components; (2) develop criterion standard methods for monitoring fidelity and reporting quality of implementation; (3) develop algorithms for MBC to guide psychotherapy; (4) test putative mechanisms of change, particularly for psychotherapy; (5) develop brief and psychometrically strong measures for use in combination; (6) assess the critical timing of administration needed to optimize patient outcomes; (7) streamline measurement feedback systems to include only key ingredients and enhance electronic health record interoperability; (8) identify discrete strategies to support implementation; (9) make evidence-based policy decisions; and (10) align reimbursement structures.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
The source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“MBC has been associated with multi-faceted clinical benefits, including greater retention, engagement, and therapeutic alliances during treatment with better patient outcomes that occur more quickly and last longer than traditional care (14-19).”
From Initial insights from a quality improvement initiative to develop an evidence-informed young adult substance use program (2022) · cites this paper as [14]
Experimental — accuracy not yet measuredThe cited source says what the claim attributes to it.
In the citing paper
“fewer than 20% of mental health practitioners use it consistently, and only 5% implement it at the recommended frequency [19]”
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
The PHQ-9: A New Depression Diagnostic and Severity Measure
Kroenke, K., & Spitzer, R. L. (2002) · Psychiatric Annals · doi:10.3928/0048-5713-20020901-06 · Cited by 5,898
Self-citationCurran, G. M., Bauer, M., Mittman, B., Pyne, J. M., & Stetler, C. (2012) · Medical Care · doi:10.1097/mlr.0b013e3182408812 · Cited by 4,058
Implementation strategies: recommendations for specifying and reporting
Proctor, E. K., Powell, B. J., & McMillen, J. C. (2013) · Implementation Science · doi:10.1186/1748-5908-8-139 · Cited by 2,585
Welcome to Implementation Science
Eccles, M. P., & Mittman, B. S. (2006) · Implementation Science · doi:10.1186/1748-5908-1-1 · Cited by 2,254
Clinical versus mechanical prediction: a meta-analysis
Grove, W. M., Zald, D. H., Lebow, B. S., Snitz, B. E., & Nelson, C. (2000) · Psychological Assessment · doi:10.1037/1040-3590.12.1.19 · Cited by 1,640
Accelerating the Diffusion of Innovations Using Opinion Leaders
Valente, T. W., & Davis, R. (1999) · The Annals of the American Academy of Political and Social Science · doi:10.1177/000271629956600105 · Cited by 720
Shimokawa, K., Lambert, M. J., & Smart, D. W. (2010) · Journal of Consulting and Clinical Psychology · doi:10.1037/a0019247 · Cited by 657 · cited 2×
“Measurement-based care can be separated into 4 core components: (1) a routinely administered symptom, outcome, or process measure (ie, PRO), ideally before each clinical encounter; (2) practitioner review of data; (3) patient review of data; and (4) collaborative reevaluation of the treatment plan informed by data.”
Is it time for clinicians to routinely track patient outcome? A meta-analysis
Lambert, M. J., Whipple, J. L., Hawkins, E. J., Vermeersch, D. A., Nielsen, S. L., & Smart, D. W. (2003) · Clinical Psychology: Science and Practice · doi:10.1093/clipsy.bpg025 · Cited by 608
A Tipping Point for Measurement-Based Care
Fortney, J. C., Unützer, J., Wrenn, G. L., Pyne, J. M., Smith, G. R., Schoenbaum, M., & Harbin, H. T. (2016) · Psychiatric Services · doi:10.1176/appi.ps.201500439 · Cited by 592
Effects of pay for performance in health care: A systematic review of systematic reviews
Eijkenaar, F., Emmert, M., Scheppach, M., & Schöffski, O. (2013) · Health Policy · doi:10.1016/j.healthpol.2013.01.008 · Cited by 562
Research works printed but not linked: 1
- Glasziou, 2012, Pay for performance: how to make it worth doing., BMJ, 345, 22
Cited by
Sorted by citations
Gruber, J., Prinstein, M. J., Clark, L. A., Rottenberg, J., Abramowitz, J. S., Albano, A. M., Aldao, A., Borelli, J. L., Chung, T., Davila, J., et al. (2021) · American Psychologist · doi:10.1037/amp0000707 · Cited by 697
Lam, R. W. M., Kennedy, S. H., Adams, G. C., Bahji, A., Beaulieu, S., Bhat, V., Blier, P., Blumberger, D. M., Brietzke, E. M., Chakrabarty, T., et al. (2024) · The Canadian Journal of Psychiatry · doi:10.1177/07067437241245384 · Cited by 435
From promise to practice: towards the realisation of AI-informed mental health care
Koutsouleris, N., Hauser, T. U., Skvortsova, V., & De Choudhury, M. (2022) · The Lancet Digital Health · doi:10.1016/s2589-7500(22)00153-4 · Cited by 251
Hazardous drinking and alcohol use disorders
MacKillop, J. M., Agabio, R., Ewing, S. W. F., Heilig, M. A., Kelly, J. F., Leggio, L., Lingford-Hughes, A. R., Palmer, A. A., Parry, C. D. H., Ray, L. A., et al. (2022) · Nature Reviews Disease Primers · doi:10.1038/s41572-022-00406-1 · Cited by 251
Walter, H. J., Abright, A. R., Bukstein, O. G., Diamond, J., Keable, H., Ripperger-Suhler, J. A., & Rockhill, C. (2022) · Journal of the American Academy of Child & Adolescent Psychiatry · doi:10.1016/j.jaac.2022.10.001 · Cited by 221
Metadata
- Authors
- Lewis, C. C., Boyd, M., Puspitasari, A., Navarro, E., Howard, J., Kassab, H., Hoffman, M., Scott, K., Lyon, A., Douglas, S., Simon, G., & Kroenke, K.
- Affiliations
- Kaiser Permanente Washington Health Research Institute (US)
- University of California, Los Angeles (US)
- Mayo Clinic (US)
- Indiana University Bloomington (US)
- Ohio University (US)
- West Virginia University (US)
- Brown University (US)
- University of Washington (US)
- Vanderbilt University (US)
- Regenstrief Institute (US)
- ORCID
- Venue
- JAMA Psychiatry
- Publisher
- American Medical Association (AMA)
- Published
- 2019-03-01
- Volume
- 76
- Issue
- 3
- Pages
- 324
- ISSN
- 2168-622X (ISSN-L)
- PMC
- PMC6584602
- OpenAlex
- W2904026243
- Cited by
- 605
- References
- 90
- Citations by year
- 2026: 91 · 2025: 97 · 2024: 110 · 2023: 80 · 2022: 75 · 2021: 92 · 2020: 49 · 2019: 11
- FWCI
- 6.87
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- JAMA Psychiatry (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- Funders
- National Institute of Mental Health (F31MH111134, R01MH103310)
- Topics
- Health Sciences › Health Professions › General Health Professions › Health Policy Implementation Science
- Social Sciences › Psychology › Clinical Psychology › Psychotherapy Techniques and Applications
- Social Sciences › Psychology › Clinical Psychology › Psychiatric care and mental health services
- Keywords
- measurement-based care, behavioral health, implementation barriers, implementation fidelity, psychotherapy, electronic health records interoperability, learning collaborative, local champions, reimbursement policy
- MeSH terms
- Mental Disorders, Humans, Mental Health Services, Treatment Outcome
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
