Evidence map›Paper›PMID 31489560›Full record

ArticleJournal of general internal medicine2019

Association of Depression Risk with Patient Experience, Healthcare Expenditure, and Health Resource Utilization Among Adults with Atherosclerotic Cardiovascular Disease.

Victor Okunrintemi, Javier Valero-Elizondo, Erin D Michos, Joseph A Salami, Oluseye Ogunmoroti, Chukwuemeka Osondu, Martin Tibuakuu, Eve-Marie Benson, Timothy M Pawlik, Michael J Blaha and 1 more

Open access · bronzeAbstract read
In one paragraph

Article in Journal of general internal medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
1.9field-weighted citation impact, top 13% 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

11 citing papers in PubMed, 24 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Medical Complexity Mediates Healthcare Resource Use in the Socially Vulnerable.Journal of healthcare management / American College of Healthcare Executives · 2022
    Observational
  7. Article
  8. Article
  9. Review
  10. Article
  11. Depression Risk and Outcomes Among ASCVD Patients.Journal of general internal medicine · 2020
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors at 8 institutions in 1 country.

Victor OkunrintemiDepartment of Internal Medicine, East Carolina University, Greenville, NC, USA. victor_okunrintemi@yahoo.com.
Javier Valero-ElizondoCenter for Outcomes Research and Evaluation, Yale New Haven Hospital, New Haven, CT, USA.
Erin D MichosDivision of Cardiology, Johns Hopkins School of Medicine, Baltimore, MD, USA.
Joseph A SalamiBaptist Health South Florida, Miami, FL, USA.
Oluseye OgunmorotiDivision of Cardiology, Johns Hopkins School of Medicine, Baltimore, MD, USA.
Chukwuemeka OsonduBaptist Health South Florida, Miami, FL, USA.
Martin TibuakuuDepartment of Medicine, St. Luke's Hospital, Chesterfield, MO, USA.
Eve-Marie BensonDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
Timothy M PawlikDepartment of Surgery, Wexner Medical Center, Columbus, OH, USA.
Michael J BlahaDivision of Cardiology, Johns Hopkins School of Medicine, Baltimore, MD, USA.
Khurram NasirSection of Cardiovascular Medicine, Yale University, New Haven, CT, USA.
Johns Hopkins University · USBaptist Health South Florida · USEast Carolina University · USJohns Hopkins Medicine · USSt. Luke's Hospital · USThe Ohio State University Wexner Medical Center · USYale New Haven Hospital · USYale University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundApproximately 20% of patients with atherosclerotic cardiovascular disease (ASCVD) suffer from depression.

objectiveTo compare healthcare expenditures and utilization, healthcare-related quality of life, and patient-centered outcomes among ASCVD patients, based on their risk for depression (among those without depression), and those with depression (vs. risk-stratified non-depressed). DESIGN AND

settingThe 2004-2015 Medical Expenditure Panel Survey (MEPS) was used for this study.

participantsAdults ≥ 18 years with a diagnosis of ASCVD, ascertained by ICD-9 codes and/or self-reported data. Individuals with a diagnosis of depression were identified by ICD-9 code 311. Participants were stratified by depression risk, based on the Patient Health Questionnaire-2.

resultsA total of 19,840 participants were included, translating into 18.3 million US adults, of which 8.6% (≈ 1.3 million US adults) had a high risk for depression and 18% had a clinical diagnosis of depression. Among ASCVD patients without depression, those with a high risk (compared with low risk) had increased overall and out-of-pocket expenditures (marginal differences of $2880 and $287, respectively, both p < 0.001), higher odds for resource utilization, and worse patient experience and healthcare quality of life (HQoL). Furthermore, compared with individuals who had depression, participants at high risk also reported worse HQoL and had higher odds of poor perception of their health status (OR 1.83, 95% CI [1.50, 2.23]) and poor patient-provider communication (OR 1.29 [1.18, 1.42]). LIMITATION: The sample population includes self-reported diagnosis of ASCVD; therefore, the risk of underestimation of the cohort size cannot be ruled out.

conclusionAlmost 1 in 10 individuals with ASCVD without diagnosis of depression is at high risk for it and has worse health outcomes compared with those who already have a diagnosis of depression. Early recognition and treatment of depression may increase healthcare efficiency, positive patient experience, and HQoL among this vulnerable population.

Indexed as

Risk AssessmentAdultAgedAtherosclerosisCase-Control StudiesDepressionFemaleHealth ExpendituresHumansMaleMiddle AgedPatient Reported Outcome MeasuresQuality of LifeRetrospective StudiesSurveys and QuestionnairesUnited Statesatherosclerotic cardiovascular diseasedepressionhealthcare economicshealthcare-related quality of lifepatient experience

Identifiers

PMID31489560
PMCPMC6848728
OpenAlexW2800172198

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.