Evidence map›Paper›PMID 35534693›Full record

ArticleThe journal of behavioral health services & research2022

Estimating a Model for Mental Healthcare Utilization Using Subjective Unmet Need and Psychological Distress Measures.

Ebony Toussaint, Dylan Roby, Dahai Yue, Luisa Franzini, Neil Sehgal

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Article in The journal of behavioral health services & 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
–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

5 authors.

Ebony ToussaintUniversity of South Carolina, Columbia, SC, USA. eatoussaint@sc.edu.
Dylan RobyUniversity of California, Irvine, CA, USA.
Dahai YueUniversity of Maryland, College Park, MD, USA.
Luisa FranziniUniversity of Maryland, College Park, MD, USA.
Neil SehgalUniversity of Maryland, College Park, MD, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The objective of this study is to assess the predictive value of self-reported need and psychological distress in mental healthcare service use across racial and ethnic groups in California. Using 2014-2018 data for adults aged 18-64 in the California Health Interview Survey, both logistic and Poisson regression models are used to estimate mental healthcare utilization. Patient-reported outcome measures, such as psychological distress, are commonly used to evaluate healthcare utilization patterns. The Kessler-6 screener for psychological distress is frequently used as a tool for determining whether someone's level of distress necessitates evaluation by a mental healthcare professional. Serious psychological distress has been widely studied as a predictor of higher healthcare expenditures and use; however, moderate distress and self-reported need has been less examined in the literature. Seventy-two percent of individuals with moderate psychological distress felt like they needed to see a professional for their mental or emotional needs compared to 4% of individuals with serious psychological distress. Individuals with moderate psychological distress had 34% of all healthcare visits for mental or emotional needs during the study period, compared to 17% for those with serious psychological distress. Subjective unmet need for mental healthcare was reported by 77% of those who utilized mental healthcare during the study period. Studying subjective unmet need, in addition to moderate and serious distress, provides additional understanding of the need for mental healthcare and mental healthcare utilization.

Indexed as

Mental Health ServicesPsychological DistressAdultDelivery of Health CareHumansNeeds AssessmentPatient Acceptance of Health CareStress, PsychologicalMental health servicesPatient-reported outcome measuresPsychological distress

Identifiers

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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.