Evidence map›Paper›PMID 35696607›Full record

ArticleJMIR formative research2022

Digital Screening and Automated Resource Identification System to Address COVID-19-Related Behavioral Health Disparities: Feasibility Study.

Colleen Stiles-Shields, Kathryn R Batts, Karen M Reyes, Joseph Archer, Sharad Crosby, Janel M Draxler, Nia Lennan, Philip Held

Open access · goldAbstract read
In one paragraph

Article in JMIR formative research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.8field-weighted citation impact, top 30% 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

1 citing paper in PubMed, 5 citations in OpenAlex.

  1. 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

8 authors at 2 institutions in 1 country.

Colleen Stiles-ShieldsSection of Community Behavioral Health, Department of Psychiatry and Behavioral Sciences, Rush University Medical Center, Chicago, IL, United States.ORCID https://orcid.org/0000-0002-6759-8380
Kathryn R BattsCommunity Health Research Division, RTI International, Research Triangle Park, NC, United States.ORCID https://orcid.org/0000-0002-6512-6208
Karen M ReyesSection of Community Behavioral Health, Department of Psychiatry and Behavioral Sciences, Rush University Medical Center, Chicago, IL, United States.ORCID https://orcid.org/0000-0003-0078-3060
Joseph ArcherSection of Community Behavioral Health, Department of Psychiatry and Behavioral Sciences, Rush University Medical Center, Chicago, IL, United States.ORCID https://orcid.org/0000-0002-1776-7369
Sharad CrosbySection of Community Behavioral Health, Department of Psychiatry and Behavioral Sciences, Rush University Medical Center, Chicago, IL, United States.ORCID https://orcid.org/0000-0001-5950-5546
Janel M DraxlerSection of Community Behavioral Health, Department of Psychiatry and Behavioral Sciences, Rush University Medical Center, Chicago, IL, United States.ORCID https://orcid.org/0000-0001-9093-8809
Nia LennanSection of Community Behavioral Health, Department of Psychiatry and Behavioral Sciences, Rush University Medical Center, Chicago, IL, United States.ORCID https://orcid.org/0000-0002-7331-1585
Philip HeldSection of Community Behavioral Health, Department of Psychiatry and Behavioral Sciences, Rush University Medical Center, Chicago, IL, United States.ORCID https://orcid.org/0000-0003-3974-1802
Rush University Medical Center · USRTI International · US

Funding

Technology Enabled Services for Coordinated Care of Depression in Healthcare SettingsP50MH119029 · NIMH · NORTHWESTERN UNIVERSITY AT CHICAGO · PI Rachel Kornfield · 2020 to 2026
$10.7M
Institutional Career Development Core (Chapter 1)KL2TR002387 · NCATS · UNIVERSITY OF CHICAGO · PI ERIC C BEYER, Lisa L Barnes · 2017 to 2026
$7.6M
Supporting Mental Health in Underserved Youth: Engagement with Digital Mental Health Technologies in Pediatric Primary CareK08MH125069 · NIMH · UNIVERSITY OF ILLINOIS AT CHICAGO · PI STILES-SHIELDS, COLLEEN · 2021 to 2024
$628k
NCATS NIH HHS KL2 TR002387NIMH NIH HHS K08 MH125069NIMH NIH HHS P50 MH119029
6 · The paper itself

Abstract

backgroundDigital mental health (DMH) tools use technology (eg, websites and mobile apps) to conveniently deliver mental health resources to users in real time, reducing access barriers. Underserved communities facing health care provider shortages and limited mental health resources may benefit from DMH tools, as these tools can help improve access to resources.

objectiveThis study described the development and feasibility evaluation of the Emotional Needs Evaluation and Resource Guide for You (ENERGY) System, a DMH tool to meet the mental health and resource needs of youth and their families developed in the context of the COVID-19 pandemic. The ENERGY System offers a brief assessment of resource needs; problem-solving capabilities; and symptoms of depression, anxiety, trauma, and alcohol and substance use followed by automated, personalized feedback based on the participant's responses.

methodsIndividuals aged ≥15 years were recruited through community partners, community events, targeted electronic health record messages, and social media. Participants completed screening questions to establish eligibility, entered demographic information, and completed the ENERGY System assessment. Based on the participant's responses, the ENERGY System immediately delivered digital resources tailored to their identified areas of need (eg, relaxation). A subset of participants also voluntarily completed the following: COVID-19 Exposure and Family Impact Survey (CEFIS) or COVID-19 Exposure and Family Impact Survey Adolescent and Young Adult Version (CEFIS-AYA); resource needs assessment; and feedback on their experience using the ENERGY System. If resource needs (eg, housing and food insecurity) were endorsed, lists of local resources were provided.

resultsA total of 212 individuals accessed the ENERGY System link, of which 96 (45.3%) completed the screening tool and 86 (40.6%) received resources. Participant responses on the mental health screening questions triggered on average 2.04 (SD 1.94) intervention domains. Behavioral Activation/Increasing Activities was the most frequently launched intervention domain (56%, 54/96), and domains related to alcohol or substance use were the least frequent (4%, 4/96). The most frequently requested support areas were finances (33%, 32/96), transportation (26%, 25/96), and food (24%, 23/96). The CEFIS and CEFIS-AYA indicated higher than average impacts from the pandemic (ie, average scores >2.5). Participants were satisfied with the ENERGY System overall (65%, 39/60) as well as the length of time it took to answer the questions (90%, 54/60), which they found easy to answer (87%, 52/60).

conclusionsThis study provided initial support for the feasibility of the ENERGY System, a DMH tool capable of screening for resource and mental health needs and providing automated, personalized, and free resources and techniques to meet the identified needs. Future studies should seek direct feedback from community members to further improve the ENERGY System and its dissemination to encourage use.

Indexed as

COVID-19digital healthdigital health tooldigital mental healthemotional needfeasibility studyhealth care costhealth disparitieshealth resourcemental healthmHealthmobile appmobile healthreferralscreeningunderserved

Identifiers

PMID35696607
PMCPMC9221976
OpenAlexW4281611572

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.