Evidence map›Paper›PMID 38662178›Full record

ArticleAdministration and policy in mental health2025

Data-Informed Communication: How Measurement-Based Care Can Optimize Child Psychotherapy.

Elizabeth H Connors, Amber W Childs, Susan Douglas, Amanda Jensen-Doss

Abstract read
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In one paragraph

Article in Administration and policy in mental health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
5.1field-weighted citation impact, top 5% of its field
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

4 citing papers in PubMed, 8 citations in OpenAlex.

  1. Trial
  2. Article
  3. Article
  4. Using Progress Feedback to Enhance Treatment Outcomes: A Narrative Review.Administration and policy in mental health · 2025
    Review
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

4 authors at 3 institutions in 1 country.

Elizabeth H ConnorsYale School of Medicine, Department of Psychiatry, New Haven, CT, USA. elizabeth.connors@yale.edu.ORCID 0000-0002-1180-4552
Amber W ChildsYale School of Medicine, Department of Psychiatry, New Haven, CT, USA.ORCID 0000-0001-8436-751X
Susan DouglasDepartment of Leadership, Policy, and Organizations, Vanderbilt University, Peabody College, Nashville, TN, USA.ORCID 0000-0002-5239-4828
Amanda Jensen-DossDepartment of Psychology, University of Miami, Coral Gables, FL, USA.ORCID 0000-0003-4995-7463
Yale University · USUniversity of Miami · USVanderbilt University · US

Funding

NIMH NIH HHS NIMH K08 MH116119NIMH NIH HHS NIMH R34 MH118316
6 · The paper itself

Abstract

Measurement-based care (MBC) research and practice, including clinical workflows and systems to support MBC, are grounded in adult-serving mental health systems. MBC research evidence is building in child and adolescent services, but MBC practice is inherently more complex due to identified client age, the family system and the need to involve multiple reporters. This paper seeks to address a gap in the literature by providing practical guidance for youth-serving clinicians implementing MBC with children and their families. We focus on MBC as a data-informed, client-centered communication process, and present three key strategies to enhance usual care child and adolescent psychotherapy via developmentally-appropriate MBC. These strategies include (1) go beyond standardized measures; (2) lean into discrepancies; and (3) get curious together. Case-based examples drawn from various child-serving settings illustrate these key strategies of MBC in child psychotherapy.

Indexed as

CommunicationPsychotherapyAdolescentChildFemaleHumansMaleChild psychotherapyEngagementFeedbackMeasurement-based careMulti-informant assessmentTherapeutic alliance

Identifiers

PMID38662178
OpenAlexW4395463474

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.