Evidence map›Paper›PMID 38488827›Full record

ArticleJMIR formative research2024

A Closed-Loop Digital Health Tool to Improve Depression Care in Multiple Sclerosis: Iterative Design and Cross-Sectional Pilot Randomized Controlled Trial and its Impact on Depression Care.

Kyra Henderson, Jennifer Reihm, Kanishka Koshal, Jaeleene Wijangco, Narender Sara, Nicolette Miller, Marianne Doyle, Alicia Mallory, Judith Sheridan, Chu-Yueh Guo and 6 more

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in JMIR formative research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05865405 (Care Technology to Ascertain, Treat, and Engage the Community to Heal Depression in Patients With Multiple Sclerosis), which is not on this map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
2.1field-weighted citation impact, top 14% 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.

NCT05865405 naactive not recruitingnot on this map

Care Technology to Ascertain, Treat, and Engage the Community to Heal Depression in Patients With Multiple Sclerosis: Closing the Gaps in Depression Care for People With MS By Closing the Information Loop

TypeinterventionalSponsorUniversity of California, San FranciscoRan2023 to 2026Enrolled100ConditionsMultiple Sclerosis, MS, DepressionArmsMS CATCH
3 · Its place in the literature

Who cites it

2 citing papers in PubMed, 5 citations in OpenAlex.

  1. Review
  2. 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

16 authors at 2 institutions in 2 countries.

Kyra HendersonDepartment of Neurology, Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, United States.ORCID https://orcid.org/0009-0006-8350-0474
Jennifer ReihmDepartment of Neurology, Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, United States.ORCID https://orcid.org/0000-0001-6766-6323
Kanishka KoshalDepartment of Neurology, Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, United States.ORCID https://orcid.org/0000-0002-0612-0738
Jaeleene WijangcoDepartment of Neurology, Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, United States.ORCID https://orcid.org/0009-0006-1561-6547
Narender SaraDepartment of Neurology, Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, United States.ORCID https://orcid.org/0000-0003-4552-9832
Nicolette MillerDepartment of Neurology, Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, United States.ORCID https://orcid.org/0000-0001-8987-4908
Marianne DoyleDepartment of Neurology, Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, United States.ORCID https://orcid.org/0009-0000-8444-364X
Alicia MalloryDepartment of Neurology, Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, United States.ORCID https://orcid.org/0009-0008-9641-7981
Judith SheridanDepartment of Neurology, Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, United States.ORCID https://orcid.org/0009-0007-8197-4040
Chu-Yueh GuoDepartment of Neurology, Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, United States.ORCID https://orcid.org/0000-0002-5730-7770
Lauren OommenDepartment of Neurology, Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, United States.ORCID https://orcid.org/0009-0004-1855-9934
Katherine P RankinDepartment of Neurology, Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, United States.ORCID https://orcid.org/0000-0002-3611-0848
Stephan SandersDepartment of Neurology, Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, United States.ORCID https://orcid.org/0000-0001-9112-5148
Anthony FeinsteinDepartment of Psychiatry, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, ON, Canada.ORCID https://orcid.org/0000-0002-0132-0909
Christina MangurianDepartment of Psychiatry, Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, United States.ORCID https://orcid.org/0000-0002-9839-652X
Riley BoveDepartment of Neurology, Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, United States.ORCID https://orcid.org/0000-0002-2034-8800
University of California, San Francisco · USSunnybrook Health Science Centre · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPeople living with multiple sclerosis (MS) face a higher likelihood of being diagnosed with a depressive disorder than the general population. Although many low-cost screening tools and evidence-based interventions exist, depression in people living with MS is underreported, underascertained by clinicians, and undertreated.

objectiveThis study aims to design a closed-loop tool to improve depression care for these patients. It would support regular depression screening, tie into the point of care, and support shared decision-making and comprehensive follow-up. After an initial development phase, this study involved a proof-of-concept pilot randomized controlled trial (RCT) validation phase and a detailed human-centered design (HCD) phase.

methodsDuring the initial development phase, the technological infrastructure of a clinician-facing point-of-care clinical dashboard for MS management (BRIDGE) was leveraged to incorporate features that would support depression screening and comprehensive care (Care Technology to Ascertain, Treat, and Engage the Community to Heal Depression in people living with MS [MS CATCH]). This linked a patient survey, in-basket messages, and a clinician dashboard. During the pilot RCT phase, a convenience sample of 50 adults with MS was recruited from a single MS center with 9-item Patient Health Questionnaire scores of 5-19 (mild to moderately severe depression). During the routine MS visit, their clinicians were either asked or not to use MS CATCH to review their scores and care outcomes were collected. During the HCD phase, the MS CATCH components were iteratively modified based on feedback from stakeholders: people living with MS, MS clinicians, and interprofessional experts.

resultsMS CATCH links 3 features designed to support mood reporting and ascertainment, comprehensive evidence-based management, and clinician and patient self-management behaviors likely to lead to sustained depression relief. In the pilot RCT (n=50 visits), visits in which the clinician was randomized to use MS CATCH had more notes documenting a discussion of depressive symptoms than those in which MS CATCH was not used (75% vs 34.6%; χ

conclusionsCreated with extensive stakeholder feedback, MS CATCH is a closed-loop system aimed to increase communication about depression between people living with MS and their clinicians, and ultimately improve depression care. The pilot findings showed evidence of enhanced communication. Stakeholders also advised on trial design features of a full year long Department of Defense-funded feasibility and efficacy trial, which is now underway.

trial registrationClinicalTrials.gov NCT05865405; http://tinyurl.com/4zkvru9x.

Indexed as

bring your own deviceclinical trialclosed-loopdepressionmHealthmultiple sclerosisquality of life

Identifiers

PMID38488827
PMCPMC10980989
OpenAlexW4392864615

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.