Evidence map›Paper›PMID 26860952›Full record

ReviewAdministration and policy in mental health2016

Capabilities and Characteristics of Digital Measurement Feedback Systems: Results from a Comprehensive Review.

Aaron R Lyon, Cara C Lewis, Meredith R Boyd, Ethan Hendrix, Freda Liu

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Administration and policy in mental health, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 46 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
46citing papers in PubMed, 2 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

46 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
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  10. Review
  11. Article
  12. Using Progress Feedback to Enhance Treatment Outcomes: A Narrative Review.Administration and policy in mental health · 2025
    Review
  13. Article
  14. Article
  15. Article
  16. Characterizing measurement-based care implementation using therapist report.Evidence-based practice in child and adolescent mental health · 2023
    Article
  17. Article
  18. Article
  19. Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Aaron R LyonDepartment of Psychiatry & Behavioral Sciences, University of Washington, 1959 NE Pacific Street, Box 356560, Rm BB1644, Seattle, WA, 98195-6560, USA. lyona@uw.edu.
Cara C LewisDepartment of Psychiatry & Behavioral Sciences, University of Washington, 1959 NE Pacific Street, Box 356560, Rm BB1644, Seattle, WA, 98195-6560, USA.
Meredith R BoydDepartment of Psychological and Brain Sciences, Indiana University, 1101 E. 10th St., Bloomington, IN, 47405, USA.
Ethan HendrixDepartment of Psychiatry & Behavioral Sciences, University of Washington, 1959 NE Pacific Street, Box 356560, Rm BB1644, Seattle, WA, 98195-6560, USA.
Freda LiuDepartment of Psychiatry & Behavioral Sciences, University of Washington, 1959 NE Pacific Street, Box 356560, Rm BB1644, Seattle, WA, 98195-6560, USA.

Funding

Standardized versus Tailored Implementation of Measurement Based Care for DepressionR01MH103310 · NIMH · TRUSTEES OF INDIANA UNIVERSITY · PI LEWIS, CARA CHARISSA · 2014 to 2017
$2.0M
Implementation of a Measurement Feedback System in School Mental HealthK08MH095939 · NIMH · UNIVERSITY OF WASHINGTON · PI LYON, AARON ROBERT · 2012 to 2016
$787k
NIMH NIH HHS K08 MH095939NIMH NIH HHS K08MH095939NIMH NIH HHS R01 MH103310NIMH NIH HHS R01MH103310
6 · The paper itself

Abstract

Measurement feedback systems (MFS) are a class of health information technology (HIT) that function as an implementation support strategy for integrating measurement based care or routine outcome monitoring into clinical practice. Although many MFS have been developed, little is known about their functions. This paper reports findings from an application of health information technology-academic and commercial evaluation (HIT-ACE), a systematic and consolidated evaluation method, to MFS designed for use in behavioral healthcare settings. Forty-nine MFS were identified and subjected to systematic characteristic and capability coding. Results are presented with respect to the representation of characteristics and capabilities across MFS.

Indexed as

FeedbackMedical InformaticsOutcome Assessment, Health CareHumansHealth information technologyMeasurement based careMeasurement feedback systemRoutine outcome monitoring

Identifiers

PMID26860952
PMCPMC4833592

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.