Evidence map›Paper›PMID 27431801›Full record

ArticleBMC psychiatry2016

Depression treatment decreases healthcare expenditures among working age patients with comorbid conditions and type 2 diabetes mellitus along with newly-diagnosed depression.

Rituparna Bhattacharya, Chan Shen, Amy B Wachholtz, Nilanjana Dwibedi, Usha Sambamoorthi

Open access · goldAbstract read
In one paragraph

Article in BMC psychiatry, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
2.5field-weighted citation impact, top 10% 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

16 citing papers in PubMed, 24 citations in OpenAlex.

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  11. Extent and Predictors of Potentially Inappropriate Antidepressant Use Among Older Adults With Dementia and Major Depressive Disorder.The American journal of geriatric psychiatry : official journal of the American Association for Geriatric Psychiatry · 2019
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  13. Observational
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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 at 4 institutions in 1 country.

Rituparna BhattacharyaHumana Inc, Clinical Data Analytics (CODA), Tucson, AZ, USA.
Chan ShenDepartment of Health Services Research and Biostatistics, University of Texas MD Anderson Cancer Center, Houston, TX, USA. cshen@mdanderson.org.
Amy B WachholtzDepartment of Psychiatry, University of Massachusetts Medical School, Worcester, MA, USA.
Nilanjana DwibediDepartment of Pharmaceutical Systems and Policy, School of Pharmacy, West Virginia University, Morgantown, WV, USA.
Usha SambamoorthiDepartment of Social & Behavioral Sciences, School of Public Health, West Virginia University, Morgantown, WV, USA.
West Virginia University · USHumana (United States) · USThe University of Texas MD Anderson Cancer Center · USUniversity of Massachusetts Chan Medical School · US

Funding

West Virginia IDEA-CTRU54GM104942 · NIGMS · WEST VIRGINIA UNIVERSITY · PI Laura F. Gibson · 2012 to 2026
$81.0M
Co-Morbid Opioid Addiction and Chronic PainK23DA030397 · NIDA · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI WACHHOLTZ, AMY B · 2011 to 2015
$685k
NIDA NIH HHS K23 DA030397NIGMS NIH HHS U54 GM104942
6 · The paper itself

Abstract

backgroundThere are many studies in the literature on the association between depression treatment and health expenditures. However, there is a knowledge gap in examining this relationship taking into account coexisting chronic conditions among patients with diabetes. We aim to analyze the association between depression treatment and healthcare expenditures among adults with Type 2 Diabetes Mellitus (T2DM) and newly-diagnosed depression, with consideration of coexisting chronic physical conditions.

methodsWe used multi-state Medicaid data (2000-2008) and adopted a retrospective longitudinal cohort design. Medical conditions were identified using diagnosis codes (ICD-9-CM and CPT systems). Healthcare expenditures were aggregated for each month for 12 months. Types of coexisting chronic physical conditions were hierarchically grouped into: dominant, concordant, discordant, and both concordant and discordant. Depression treatment categories were as follows: antidepressants or psychotherapy, both antidepressants and psychotherapy, and no treatment. We used linear mixed-effects models on log-transformed expenditures (total and T2DM-related) to examine the relationship between depression treatment and health expenditures. The analyses were conducted on the overall study population and also on subgroups that had coexisting chronic physical conditions.

resultsTotal healthcare expenditures were reduced by treatment with antidepressants (16 % reduction), psychotherapy (22 %), and both therapy types in combination (28 %) compared to no depression treatment. Treatment with both antidepressants and psychotherapy was associated with reductions in total healthcare expenditures among all groups that had a coexisting chronic physical condition.

conclusionsAmong adults with T2DM and chronic conditions, treatment with both antidepressants and psychotherapy may result in economic benefits.

Indexed as

AdultAgedAntidepressive AgentsChronic DiseaseCombined Modality TherapyComorbidityDepressionDiabetes Mellitus, Type 2FemaleHealth Care CostsHealth ExpendituresHumansMaleMiddle AgedPsychotherapyRetrospective StudiesAntidepressive AgentsComorbidityDepressionHealthcare expendituresType 2 diabetes mellitus

Identifiers

PMID27431801
PMCPMC4950075
OpenAlexW2502319716

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.