Evidence map›Paper›PMID 32766862›Full record

Trial reportTranslational behavioral medicine2020

Lessons learned from service design of a trial of a digital mental health service: Informing implementation in primary care clinics.

Andrea K Graham, Carolyn J Greene, Thomas Powell, Pauli Lieponis, Amanda Lunsford, Chris D Peralta, L Casey Orr, Susan M Kaiser, Nameyeh Alam, Helom Berhane and 2 more

Abstract readRandomized Controlled Trial
In one paragraph

Trial report in Translational behavioral medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing 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.

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

21 citing papers in PubMed.

  1. Trial
  2. Review
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  12. Minimal Effect of Messaging on Engagement in a Digital Anxiety Intervention.Professional psychology, research and practice · 2023
    Article
  13. Article
  14. Article
  15. Article
  16. Article
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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

12 authors.

Andrea K GrahamCenter for Behavioral Intervention Technologies, Northwestern University, Chicago, IL, USA.
Carolyn J GreenePsychiatric Research Institute, University of Arkansas for Medical Sciences, Little Rock, AR, USA.
Thomas PowellDepartment of Biomedical Informatics, University of Arkansas for Medical Sciences, Little Rock, AR, USA.
Pauli LieponisActualize Therapy, Inc., Chicago, IL, USA.
Amanda LunsfordPsychiatric Research Institute, University of Arkansas for Medical Sciences, Little Rock, AR, USA.
Chris D PeraltaPsychiatric Research Institute, University of Arkansas for Medical Sciences, Little Rock, AR, USA.
L Casey OrrPsychiatric Research Institute, University of Arkansas for Medical Sciences, Little Rock, AR, USA.
Susan M KaiserCenter for Behavioral Intervention Technologies, Northwestern University, Chicago, IL, USA.
Nameyeh AlamCenter for Behavioral Intervention Technologies, Northwestern University, Chicago, IL, USA.
Helom BerhaneActualize Therapy, Inc., Chicago, IL, USA.
Ozan KalanActualize Therapy, Inc., Chicago, IL, USA.
David C MohrCenter for Behavioral Intervention Technologies, Northwestern University, Chicago, IL, USA.

Funding

Testing Intervention Strategies for Addressing Obesity and Binge EatingK01DK116925 · NIDDK · NORTHWESTERN UNIVERSITY AT CHICAGO · PI GRAHAM, ANDREA KASS · 2018 to 2022
$799k
NIDDK NIH HHS K01 DK116925
6 · The paper itself

Abstract

Implementing a digital mental health service in primary care requires integration into clinic workflow. However, without adequate attention to service design, including designing referral pathways to identify and engage patients, implementation will fail. This article reports results from our efforts designing referral pathways for a randomized clinical trial evaluating a digital service for depression and anxiety delivered through primary care clinics. We utilized three referral pathways: direct to consumer (e.g., digital and print media, registry emails), provider referral (i.e., electronic health record [EHR] order and provider recommendation), and other approaches (e.g., presentations, word of mouth). Over the 5-month enrollment, 313 individuals completed the screen and reported how they learned about the study. Penetration was 13%, and direct to consumer techniques, most commonly email, had the highest yield. Providers only referred 16 patients through the EHR, half of whom initiated the screen. There were no differences in referral pathway based on participants' age, depression severity, or anxiety severity at screening. Ongoing discussions with providers revealed that the technologic implementation and workflow design may not have been optimal to fully affect the EHR-based referral process, which potentially limited patient access. Results highlight the importance of designing and evaluating referral pathways within service implementation, which is important for guiding the implementation of digital services into practice. Doing so can ensure that sustained implementation is not left to post-evaluation bridge-building. Future efforts should assess these and other referral pathways implemented in clinical practice outside of a research trial.

Indexed as

Mental Health ServicesAnxietyHumansMass ScreeningPrimary Health CareReferral and Consultationanxietydepressiondigital mental healthIT integrationprimary care

Identifiers

PMID32766862
PMCPMC7413191

What OpenQuestion holds

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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.