Evidence map›Paper›PMID 34271912›Full record

ArticleBMC health services research2021

Factors associated with response and remission from depression at 6-months of treatment in a retrospective cohort treated within an integrated care program.

Jessica Jeffrey, Alex Klomhaus, Hilary Aralis, Wendy Barrera, Shanna Rosenberg, Mark Grossman, Patricia Lester

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in BMC health services research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
0.3field-weighted citation impact, top 37% 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

3 citing papers in PubMed, 1 synthesis or guideline pooled it, 2 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. 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 at 2 institutions in 1 country.

Jessica JeffreyDivision of Population Behavioral Health, Department of Psychiatry and Biobehavioral Sciences, Jane and Terry Semel Institute for Neuroscience and Human Behavior, UCLA, 760 Westwood Plaza, A7-372A, Los Angeles, CA, 90024, USA. jjeffrey@mednet.ucla.edu.ORCID https://orcid.org/0000-0003-4334-5626
Alex KlomhausDivision of Population Behavioral Health, Department of Psychiatry and Biobehavioral Sciences, Jane and Terry Semel Institute for Neuroscience and Human Behavior, UCLA, 760 Westwood Plaza, A7-372A, Los Angeles, CA, 90024, USA.
Hilary AralisDivision of Population Behavioral Health, Department of Psychiatry and Biobehavioral Sciences, Jane and Terry Semel Institute for Neuroscience and Human Behavior, UCLA, 760 Westwood Plaza, A7-372A, Los Angeles, CA, 90024, USA.
Wendy BarreraDivision of Population Behavioral Health, Department of Psychiatry and Biobehavioral Sciences, Jane and Terry Semel Institute for Neuroscience and Human Behavior, UCLA, 760 Westwood Plaza, A7-372A, Los Angeles, CA, 90024, USA.
Shanna RosenbergDivision of Population Behavioral Health, Department of Psychiatry and Biobehavioral Sciences, Jane and Terry Semel Institute for Neuroscience and Human Behavior, UCLA, 760 Westwood Plaza, A7-372A, Los Angeles, CA, 90024, USA.
Mark GrossmanDepartments of Medicine and Pediatrics, UCLA Health, Los Angeles, CA, USA.
Patricia LesterDivision of Population Behavioral Health, Department of Psychiatry and Biobehavioral Sciences, Jane and Terry Semel Institute for Neuroscience and Human Behavior, UCLA, 760 Westwood Plaza, A7-372A, Los Angeles, CA, 90024, USA.
Neurobehavioral Systems · USUCLA Health · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDepression causes significant morbidity, which impacts mental health, overall general health outcomes, everyday functioning and quality of life. This study aims to contribute to knowledge in the field through enhanced understanding of factors that influence depression response and remission, with consideration for design of treatment services to optimize depression outcomes within integrated care programs.

methodsUsing routine behavioral health screening and electronic health record data, we identified a retrospective cohort consisting of 615 adult patients receiving depression treatment within an integrated care program. Cohort member Patient Health Questionnaire (PHQ-9) data was analyzed for the 6 months following initiation of treatment. Multinomial regression models were estimated to identify factors associated with depression treatment response (PHQ-9 < 10) and remission (PHQ-9 < 5).

resultsAt 6 months, 47% of patients demonstrated treatment response and 16% demonstrated remission. Baseline trauma symptoms and suicidal ideation were significantly associated with decreased odds of achieving remission (Odds Ratio (95% CI) [OR] = 0.45 (0.23, 0.88) and OR = 0.49 (0.29, 0.82), respectively). In fully adjusted models, baseline suicidal ideation remained significant (OR = 0.53 (0.31, 0.89)) and some evidence of an association persisted for baseline trauma symptoms (OR = 0.51 (0.25, 1.01)).

conclusionsAfter controlling for baseline depression symptoms, the presence of suicidal ideation is associated with reduced likelihood of remission. Increased understanding of factors associated with depression treatment outcomes may be employed to help guide the delivery and design of clinical services. Alongside routine screening for co-morbid anxiety, suicidal ideation and traumatic stress should be assessed and considered when designing depression treatment services.

Indexed as

Delivery of Health Care, IntegratedDepressionAdultHumansQuality of LifeRetrospective StudiesSuicidal IdeationCo-morbiditiesDepression treatmentIntegrated careScreeningSuicidal ideationTraumatic stress

Identifiers

PMID34271912
PMCPMC8285801
OpenAlexW3181132936

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.