Evidence map›Paper›PMID 37583369›Full record

ArticleJournal of depression & anxiety2022

Prevalence and Treatment Utilization of Patients Diagnosed with Depression and Anxiety Disorders Based on Kentucky Medicaid 2012-2019 Datasets.

Yuchen Han, Haojiang Huang, Riten Mitra, Huirong Hu, Subhadip Pal, Craig J McClain, K B Kulasekera, Maiying Kong

Open access · greenAbstract read
In one paragraph

Article in Journal of depression & anxiety, 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
0.4field-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, 2 citations in OpenAlex.

  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

8 authors at 1 institution in 1 country.

Yuchen HanDepartment of Bioinformatics and Biostatistics, University of Louisville School of Public Health and Information Science, Louisville, KY, United States.
Haojiang HuangDepartment of Psychiatry and Behavioral Sciences, University of Louisville School of Medicine, Louisville, KY, United States.
Riten MitraDepartment of Bioinformatics and Biostatistics, University of Louisville School of Public Health and Information Science, Louisville, KY, United States.
Huirong HuDepartment of Bioinformatics and Biostatistics, University of Louisville School of Public Health and Information Science, Louisville, KY, United States.
Subhadip PalDepartment of Bioinformatics and Biostatistics, University of Louisville School of Public Health and Information Science, Louisville, KY, United States.
Craig J McClainDepartment of Pharmacology and Toxicology, University of Louisville School of Medicine, Louisville, KY, United States.
K B KulasekeraDepartment of Bioinformatics and Biostatistics, University of Louisville School of Public Health and Information Science, Louisville, KY, United States.
Maiying KongDepartment of Bioinformatics and Biostatistics, University of Louisville School of Public Health and Information Science, Louisville, KY, United States.
University of Louisville · US

Funding

University of Louisville Bioinformatics Faculty Recruitment for EpigeneticsP30AA019360 · NIAAA · UNIVERSITY OF LOUISVILLE · PI MCCLAIN, CRAIG J. · 2009 to 2010
$811k
Identification of Proteins from Mass Spectrometry Data: A Statistical ApproachR15CA170091 · NCI · UNIVERSITY OF LOUISVILLE · PI KONG, MAIYING · 2013 to 2013
$464k
NCI NIH HHS R15 CA170091NIAAA NIH HHS P30 AA019360
6 · The paper itself

Abstract

Objectives: To examine the prevalence and treatment utilization of patients diagnosed with Depression and Anxiety Disorders (DAD) based on Kentucky Medicaid 2012-2019 datasets. Methods: The study was based on Kentucky Medicaid claims data from 2012 through 2019 for patients 14 years and older. We constructed yearly patient-level databases using ICD_9 CM and ICD_10 CM codes to identify the patients with DAD, using the Current Procedure Terminology (CPT) codes to identify individual psychotherapy and group psychotherapy and using the National drug codes to categorize pharmacotherapy. Based on these data, we constructed summary tables that reflected the trends in prevalence of DAD across eight Kentucky Medicaid regions and for different demographic subgroups. Next, we implemented logistic regression on the constructed yearly patient-level data to formally assess the impact of risk factors and treatments on the prevalence of DAD. The potential risk factors included age, gender, race/ethnicity, geographic characteristics, comorbidities such as alcohol use disorder and tobacco use. Results: The prevalence of DAD increased from 30.84% in 2012 to 36.04% in 2019. The prevalence of DAD was significantly higher in patients with the following characteristics: non-Hispanic white, females, aged between 45 and 54 years old, living in rural areas, having alcohol use disorder, and using tobaccos. Other than 2013, the utilization of pharmacotherapy maintained at about 62%. The utilization of psychotherapy increased over years from 24.4% in 2012 to 36.5% in 2019. Overall, the utilization of any treatment slightly increased from 70.9% in 2012 to 73.3% in 2019 except a drastic decline in 2013 due to the reduction of benzodiazepine prescription. Patients being whites, females, and living in rural areas were more likely to use pharmacotherapy, and patients living in rural areas were less likely to use psychotherapy than those residing in urban areas. Conclusion: The prevalence of DAD has increased over time from 2012 to 2019. The utilization of pharmacotherapy maintained at 62% over eight years except 2013, and the utilization of psychotherapy has steadily increased over time.

Indexed as

Anxiety disordersDepressive disordersTreatmentutilization

Identifiers

PMID37583369
PMCPMC10427139
OpenAlexW4385850863

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.