Evidence map›Paper›PMID 37133910›Full record

ArticleJMIR formative research2023

Understanding Treatment Needs of Youth in a Remote Intensive Outpatient Program Through Solicited Journals: Quality Improvement Analysis.

Michelle Evans-Chase, Rachel Kornmann, Bethany Peralta, Kate Gliske, Katie Berry, Phyllis Solomon, Caroline Fenkel

Abstract read
In one paragraph

Article in JMIR formative research, 2023. 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
–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

1 citing paper in PubMed.

  1. 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

7 authors.

Michelle Evans-ChaseSchool of Social Policy and Practice, University of Pennsylvania, Philadelphia, PA, United States.ORCID https://orcid.org/0000-0002-6505-1648
Rachel KornmannBehavioral Health Care, Rutgers University, New Brunswick, NJ, United States.ORCID https://orcid.org/0000-0001-7574-6788
Bethany PeraltaCharlie Health, Inc, Bozeman, MT, United States.ORCID https://orcid.org/0009-0001-3150-4725
Kate GliskeCharlie Health, Inc, Bozeman, MT, United States.ORCID https://orcid.org/0000-0001-6109-3624
Katie BerryCharlie Health, Inc, Bozeman, MT, United States.ORCID https://orcid.org/0000-0001-8340-3259
Phyllis SolomonSchool of Social Policy and Practice, University of Pennsylvania, Philadelphia, PA, United States.ORCID https://orcid.org/0000-0002-0880-8966
Caroline FenkelCharlie Health, Inc, Bozeman, MT, United States.ORCID https://orcid.org/0000-0003-0601-9020

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundYouth experiencing high-acuity mental health symptoms often require highly restrictive levels of care (ie, inpatient care) that removes them from the relationships and activities essential for healthy development. An alternative treatment gaining evidence in its ability to support this population is the intensive outpatient programming (IOP) model. Understanding the experiences of adolescents and young adults during IOP treatment episodes may enhance clinical responsiveness to changing needs and protect against transfer to inpatient care.

objectiveThe objective of the analysis reported here was to identify heretofore unrecognized treatment needs of adolescents and young adults attending a remote IOP to help the program make clinical and programmatic decisions that increase its ability to support the recovery of program participants.

methodsTreatment experiences are collected weekly via electronic journals as part of ongoing quality improvement efforts. The journals are used by clinicians proximally to help them identify youth in crisis and distally to help them better understand and respond to the needs and experiences of program participants. Journal entries are downloaded each week, reviewed by program staff for evidence of the need for immediate intervention, and later deidentified and shared with quality improvement partners via monthly uploads to a secure folder. A total of 200 entries were chosen based on inclusion criteria that focused primarily on having at least one entry at 3 specified time points across the treatment episode. Overall, 3 coders analyzed the data using open-coding thematic analysis from an essentialist perspective such that the coders sought to represent the data and thus the essential experience of the youth as closely as possible.

resultsThree themes emerged: mental health symptoms, peer relations, and recovery. The mental health symptoms theme was not surprising, given the context within which the journals were completed and the journal instructions asking that they write about how they are feeling. The peer relations and recovery themes provided novel insight, with entries included in the peer relations theme demonstrating the central importance of peer relationships, both within and outside of the therapeutic setting. The entries contained under the recovery theme described experience of recovery in terms of increases in function and self-acceptance versus reductions in clinical symptoms.

conclusionsThese findings support the conceptualization of this population as youth with both mental health and developmental needs. In addition, these findings suggest that current definitions of recovery may inadvertently miss supporting and documenting treatment gains considered most important to the youth and young adults receiving care. Taken together, youth-serving IOPs may be better positioned to treat youth and assess program impact through the inclusion of functional measures and attention to fundamental tasks of the adolescent and young adult developmental periods.

Indexed as

intensive outpatient programmingqualitative methodsrecoverytelehealthyoung adultsyouth

Identifiers

PMID37133910
PMCPMC10193218

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.