Evidence map›Paper›PMID 26890289›Full record

ArticleJournal of affective disorders2016

Impact of diagnosed depression on healthcare costs in adults with and without diabetes: United States, 2004-2011.

Leonard E Egede, Kinfe G Bishu, Rebekah J Walker, Clara E Dismuke

Abstract read
In one paragraph

Article in Journal of affective disorders, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
37citing papers in PubMed, 2 pooled it
–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

37 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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  14. The Interconnected Complexity of Diabetes and Depression.Diabetes spectrum : a publication of the American Diabetes Association · 2025
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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

4 authors.

Leonard E EgedeCenter for Health Disparities Research, Department of Medicine, Medical University of South Carolina, Charleston, SC, United States; Department of Medicine, Division of General Internal Medicine and Geriatrics, Medical University of South Carolina, Charleston, SC, United States; Health Equity and Rural Outreach Innovation Center (HEROIC), Ralph H. Johnson Veterans Affairs Medical Center, Charleston, SC, United States. Electronic address: egedel@musc.edu.
Kinfe G BishuCenter for Health Disparities Research, Department of Medicine, Medical University of South Carolina, Charleston, SC, United States; Department of Medicine, Division of General Internal Medicine and Geriatrics, Medical University of South Carolina, Charleston, SC, United States.
Rebekah J WalkerCenter for Health Disparities Research, Department of Medicine, Medical University of South Carolina, Charleston, SC, United States; Department of Medicine, Division of General Internal Medicine and Geriatrics, Medical University of South Carolina, Charleston, SC, United States; Health Equity and Rural Outreach Innovation Center (HEROIC), Ralph H. Johnson Veterans Affairs Medical Center, Charleston, SC, United States.
Clara E DismukeCenter for Health Disparities Research, Department of Medicine, Medical University of South Carolina, Charleston, SC, United States; Health Equity and Rural Outreach Innovation Center (HEROIC), Ralph H. Johnson Veterans Affairs Medical Center, Charleston, SC, United States.

Funding

Technology-Intensified Diabetes Education/Skills Intervention in AAs with DM-2R01DK098529 · NIDDK · MEDICAL UNIVERSITY OF SOUTH CAROLINA · PI EGEDE, LEONARD E. · 2013 to 2016
$2.7M
Technology Intensified Diabetes Education Study in AA with T2DM (TIDES)K24DK093699 · NIDDK · MEDICAL UNIVERSITY OF SOUTH CAROLINA · PI EGEDE, LEONARD E. · 2011 to 2020
$1.5M
Charleston Health Equity and Rural Outreach Innovation Center (HEROIC)I50HX001229 · VA · RALPH H JOHNSON VA MEDICAL CENTER · PI EGEDE, LEONARD E. · 2015 to 2015
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HSRD VA I50 HX001229NIDDK NIH HHS K24 DK093699NIDDK NIH HHS K24DK093699-01NIDDK NIH HHS R01 DK098529
6 · The paper itself

Abstract

objectiveThis study used the Medical Expenditures Panel Survey (MEPS) to estimate the cost of diabetes, depression, and comorbid diabetes and depression over 8 years.

methodsAn 8-year pooled dataset was created using the household and medical provider components of MEPS. Medical expenditures were adjusted to a common 2014 dollar value. Analyses used responses of 147,095 individuals ≥18 years of age for the years 2004-2011. The dependent variable in this study was total healthcare expenditure and the primary independent variables were diabetes and depression status. A two-part (probit/GLM) model was used to estimate the annual medical spending and marginal effects were calculated for incremental cost.

resultsIn the pooled sample, after adjusting for socio-demographic factors, comorbidities and time trend covariates, the incremental cost of depression only was $2654 (95% CI 2343-2966), diabetes was $2692 (95% CI 2338-3046), and both was $6037 (CI 95% 5243-6830) when compared to patients with none. Based on the unadjusted mean, annual average aggregate cost of depression only was estimated at $238.3 billion, diabetes only $150.1 billion and depression and diabetes together was $77.6 billion.

conclusionCosts at both the individual and aggregate level are significant, with comorbid diagnoses resulting in higher incremental costs than the sum of the costs for each diagnosis alone. In addition, while the cost of depression increased over time, the cost of diabetes decreased over time, much due to decreased inpatient costs. This study highlights the tremendous cost savings possible through more aggressive screening, diagnosis, and treatment of depression.

Indexed as

AdolescentAdultAgedAged, 80 and overComorbidityCost of IllnessDatabases, FactualDepressionDiabetes ComplicationsFemaleHealth Care CostsHealth ExpendituresHumansMaleMiddle AgedSocioeconomic FactorsComorbiditiesCostDepressionDiabetesExpenditures

Identifiers

PMID26890289
PMCPMC4779740

What OpenQuestion holds

Textmetadata
LicenceTDM
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.