Evidence map›Paper›PMID 40970017›Full record

ArticleCureus2025

Standard Versus Enhanced Measurement-Based Care Effectiveness for Depression (EMBED): Protocol for a Cluster Randomized Implementation-Effectiveness Trial.

Raymond W Lam, Erin E Michalak, Jill K Murphy, Heather Colquhoun, Chee Ng, Larry Culpepper, Carolyn S Dewa, Andrew J Greenshaw, Yanling He, Sidney H Kennedy and 8 more

Registry-linked trialAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Cureus, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05527951 (Enhanced Measurement-Based Care Effectiveness for Depression), which is not on this map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–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.

NCT05527951 naunknown statusnot on this map

Enhanced Measurement-Based Care Effectiveness for Depression (EMBED) Study:A Cluster Randomized Controlled Trial of Enhanced Versus Standard Measurement-Based Care Implementation for Depression

TypeinterventionalSponsorShanghai Mental Health CenterRan2022 to 2022Enrolled1,200ConditionsMajor Depressive DisorderArmseMBC, standard MBC
3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

18 authors.

Raymond W LamPsychiatry, University of British Columbia, Vancouver, CAN.
Erin E MichalakPsychiatry, University of British Columbia, Vancouver, CAN.
Jill K MurphyHealth, St. Francis Xavier University, Antigonish, CAN.
Heather ColquhounRehabilitation Medicine, University of Toronto, Toronto, CAN.
Chee NgDepartment of Psychiatry, University of Melbourne, Melbourne, AUS.
Larry CulpepperFamily and Community Medicine, Boston University, Boston, USA.
Carolyn S DewaPsychiatry and Behavioral Sciences, University of California Davis, Davis, USA.
Andrew J GreenshawPsychiatry, University of Alberta, Edmonton, CAN.
Yanling HePsychiatry, Shanghai Mental Health Center, Shanghai, CHN.
Sidney H KennedyPsychiatry, University of Toronto, Toronto, CAN.
Xinmin LiPsychiatry, University of Alberta, Edmonton, CAN.
Jing LiuPsychiatry, University of British Columbia, Vancouver, CAN.
Tianli LiuInstitute of Population Health, Peking University, Beijing, CHN.
Sagar ParikhPsychiatry, University of Michigan, Ann Arbor, USA.
Claudio N SoaresPsychiatry, Queen's University, Kingston, CAN.
Zuowei WangPsychiatry, Hongkou Mental Health Centre, Shanghai, CHN.
Yifeng XuPsychiatry, Shanghai Mental Health Center, Shanghai, CHN.
Jun ChenPsychiatry, Shanghai Mental Health Center, Shanghai, CHN.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMeasurement-based care (MBC) is an evidence-based practice that incorporates routine outcome assessment using validated rating scales to guide collaborative clinical decision-making. Although MBC results in improved outcomes for patients with major depressive disorder (MDD), there are barriers to its broad implementation in clinical settings. The use of "enhanced" MBC (eMBC), with mobile apps that allow patients to track outcomes and engage in self-management via WeChat, may address some of these barriers. We hypothesize that implementation with eMBC using WeChat will be superior to standard MBC implementation using paper-pencil assessments at the clinic, for both implementation and clinical outcomes.

methodsWe present a trial protocol (clinicaltrials.gov NCT05527951) for a two-arm cluster randomized clinical trial (RCT) with a hybrid implementation-effectiveness design comparing standard MBC implementation versus eMBC implementation with a six-month follow-up in 12 mental health centers in Shanghai, China. The eMBC implementation uses a WeChat mini-program that includes outcome tracking using brief questionnaires and self-management lessons supplemented with support by a lay coach via WeChat.

resultsA total of 240 physicians and 1200 patients from the 12 mental health centers will be enrolled in the mixed-methods outcome analysis. The primary implementation outcome is

conclusionsThe results of this hybrid implementation-effectiveness cluster RCT will inform implementation of eMBC with WeChat mobile apps for patients with depression in other clinical settings in China and internationally.

Indexed as

assessmentcluster trialdepressionimplementationmeasurement-based caremixed-methodsmobile healthrandomizedscaleswechat

Identifiers

PMID40970017
PMCPMC12442948

What OpenQuestion holds

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Registered trials

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.