Evidence map›Paper›PMID 32724500›Full record

ArticleAmerican health & drug benefits2020

Mental Health Conditions and Hospitalizations for Ambulatory Care Sensitive Conditions Among Veterans with Diabetes.

Drew A Helmer, Nilanjana Dwibedi, Mazhgan Rowneki, Chin-Lin Tseng, Dennis Fried, Danielle Rose, Nisha Jani, Usha Sambamoorthi

Open access · greenAbstract read
In one paragraph

Article in American health & drug benefits, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 2 pooled it
2.2field-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

8 citing papers in PubMed, 2 syntheses or guidelines pooled it, 9 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Community Nursing Home Program Oversight: Can the VA Meet Increased Demand for Community-Based Care?Federal practitioner : for the health care professionals of the VA, DoD, and PHS · 2023
    Article
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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

8 authors at 4 institutions in 1 country.

Drew A HelmerDirector, War Related Illness and Injury Study Center (WRIISC), Veterans Affairs (VA) New Jersey Healthcare System, East Orange.
Nilanjana DwibediAssistant Professor, Department of Pharmaceutical Systems and Policy, West Virginia University School of Pharmacy, Morgantown.
Mazhgan RownekiHealth Services Data Analyst, WRIISC, VA New Jersey Healthcare System.
Chin-Lin TsengHealth Services Scientist, WRIISC, VA New Jersey Healthcare System.
Dennis FriedEpidemiologist, WRIISC, VA New Jersey Healthcare System.
Danielle RoseHealth Research Scientist, Veteran Affairs Greater Los Angeles Healthcare System, Sepulveda, CA.
Nisha JaniEpidemiologist, WRIISC, VA New Jersey Healthcare System.
Usha SambamoorthiProfessor, Department of Pharmaceutical Systems and Policy, West Virginia University School of Pharmacy.
VA New England Healthcare System · USVA New Jersey Health Care System · USWest Virginia University · USVA Greater Los Angeles Healthcare System · US

Funding

West Virginia IDEA-CTRU54GM104942 · NIGMS · WEST VIRGINIA UNIVERSITY · PI JUDITH FEINBERG · 2012 to 2026
$81.0M
Improving Analysis of Endogenous Multimodal Treatments for Use in Geriatrics Health Outcomes StudiesI01HX002237 · VA · VA BOSTON HEALTH CARE SYSTEM · PI GARRIDO, MELISSA M · 2018 to 2021
–
HSRD VA SDR 02-237NIGMS NIH HHS U54 GM104942
6 · The paper itself

Abstract

backgroundVeterans with diabetes and mental health conditions have a higher risk for suboptimal care and complications related to their diseases than veterans with diabetes who do not have mental health conditions. We hypothesized that among veterans with diabetes, patients with mental health conditions are more likely to be hospitalized for ambulatory care sensitive conditions (ACSC) than those without mental health conditions.

objectivesTo examine the association between depression, anxiety, and serious mental illness and hospitalizations for ACSC among veterans with diabetes after controlling for demographics and comorbidities.

methodsWe used a retrospective cohort design with merged Veterans Health Administration (VHA) and Medicare electronic health records from 2008 to 2010. Andersen's Behavioral Model of Health Services Use was used to select the variables associated with hospitalizations for ACSC (ie, predisposing, enabling and need characteristics, personal health practices, and external environment). We used chi-square tests and logistic regressions for our analyses.

resultsAmong the dual VHA/Medicare-enrolled veterans with any hospitalization in 2010, 30% had hospitalizations for ACSC. Veterans with diabetes and co-occurring depression were at increased likelihood to be hospitalized for ACSC, after adjusting for all other covariates (adjusted odds ratio, 1.08; 95% confidence interval, 1.04-1.11). Similar findings were observed for anxiety. Veterans with serious mental illness were as likely as veterans without serious mental illness to be hospitalized for ACSC.

conclusionVeterans with depression and anxiety were more likely to be hospitalized for any or acute ACSC than veterans without mental health conditions. Patients hospitalized for acute ACSC were more susceptible than patients hospitalized for chronic ACSC to have mental health conditions. As the VHA continues to evolve from care provider to community care payer (per the Veterans Affairs MISSION Act), our results highlight the ongoing importance of care coordination and communication between payers and providers.

Indexed as

ambulatory care sensitive conditionsanxietydepressiondiabetesMedicaremental health conditionspreventable hospitalizationveteransVeterans Health Administration

Identifiers

PMID32724500
PMCPMC7370828
OpenAlexW3046718813

What OpenQuestion holds

Textmetadata
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.