Evidence map›Paper›PMID 25083903›Full record

ArticlePloS one2014

Impact of mental health visits on healthcare cost in patients with diabetes and comorbid mental health disorders.

Leonard E Egede, Mulugeta Gebregziabher, Yumin Zhao, Clara E Dismuke, Rebekah J Walker, Kelly J Hunt, R Neal Axon

Abstract read
In one paragraph

Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 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

5 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Trial
  3. Article
  4. Article
  5. 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.

Leonard E EgedeCenter for Health Disparities Research, Division of General Internal Medicine, Medical University of South Carolina, Charleston, South Carolina, United States of America.
Mulugeta GebregziabherHealth Equity and Rural Outreach Innovation Center, Ralph H. Johnson Department of Veterans Affairs Medical Center, Charleston, South Carolina, United States of America; Division of Biostatistics & Epidemiology, Medical University of South Carolina, Charleston, South Carolina, United States of America.
Yumin ZhaoHealth Equity and Rural Outreach Innovation Center, Ralph H. Johnson Department of Veterans Affairs Medical Center, Charleston, South Carolina, United States of America; Center for Health Disparities Research, Division of General Internal Medicine, Medical University of South Carolina, Charleston, South Carolina, United States of America.
Clara E DismukeHealth Equity and Rural Outreach Innovation Center, Ralph H. Johnson Department of Veterans Affairs Medical Center, Charleston, South Carolina, United States of America; Center for Health Disparities Research, Division of General Internal Medicine, Medical University of South Carolina, Charleston, South Carolina, United States of America.
Rebekah J WalkerHealth Equity and Rural Outreach Innovation Center, Ralph H. Johnson Department of Veterans Affairs Medical Center, Charleston, South Carolina, United States of America; Center for Health Disparities Research, Division of General Internal Medicine, Medical University of South Carolina, Charleston, South Carolina, United States of America.
Kelly J HuntHealth Equity and Rural Outreach Innovation Center, Ralph H. Johnson Department of Veterans Affairs Medical Center, Charleston, South Carolina, United States of America; Division of Biostatistics & Epidemiology, Medical University of South Carolina, Charleston, South Carolina, United States of America.
R Neal AxonHealth Equity and Rural Outreach Innovation Center, Ralph H. Johnson Department of Veterans Affairs Medical Center, Charleston, South Carolina, United States of America; Center for Health Disparities Research, Division of General Internal Medicine, Medical University of South Carolina, Charleston, South Carolina, United States of America.

Funding

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
NIDDK NIH HHS K24 DK093699
6 · The paper itself

Abstract

purposeTo assess the impact of mental health visits (MHV) on the cost of care for Veterans with diabetes and comorbid mental health conditions.

methodsA national cohort of 120,852 Veterans with diabetes and at least one mental health diagnosis (i.e., substance abuse, depression or psychoses) in 2002 was followed through 2006. Outcomes were pharmacy, inpatient and outpatient costs in 2012 dollars.

resultsLeast-square covariate adjusted estimates from the joint model of total VA costs of the number of MHV using December 31, 2012 value dollars indicate that relative to those with fewer MHV, those with 3+ MHV had the lowest mean inpatient cost ($21,406), but the highest mean outpatient and pharmacy cost ($9,727 and $2,015, respectively). If all Veterans who received zero MHV actually received 3+ MHV, we estimate through simulated scenarios that between $32,272,329 and $181,460,247 in inpatient costs would be saved. However, these savings would be offset by additional expenditures of between $1,166,017,547 and $1,166,224,787 in outpatient costs and between $151,604,683 and $161,439,632 in pharmacy costs.

conclusionsAmong Veterans with diabetes and comorbid mental disorders having three or more mental health visits is associated with marginally decreased inpatient cost, but these potential savings seem to be offset by increased outpatient and pharmacy costs.

Indexed as

AgedDiabetes MellitusFemaleHealth Care CostsHumansMaleMental DisordersMental HealthMiddle Aged

Identifiers

PMID25083903
PMCPMC4118960

What OpenQuestion holds

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LicenceCC BY
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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.