Evidence map›Paper›PMID 25653510›Full record

SynthesisClinical interventions in aging2015

Influence of socioeconomic factors on hospital readmissions for heart failure and acute myocardial infarction in patients 65 years and older: evidence from a systematic review.

Gianfranco Damiani, Eleonora Salvatori, Giulia Silvestrini, Ivana Ivanova, Luka Bojovic, Lanfranco Iodice, Walter Ricciardi

Open access · goldAbstract readSystematic Review
In one paragraph

Synthesis in Clinical interventions in aging, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed
6.4field-weighted citation impact, top 3% 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

33 citing papers in PubMed, 71 citations in OpenAlex.

  1. Trial
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Observational
  14. Article
  15. Article
  16. Investigating the geographic disparity in quality of care: the case of hospital readmission after acute myocardial infarction in Italy.The European journal of health economics : HEPAC : health economics in prevention and care · 2020
    Article
  17. Article
  18. Article
  19. Racial Disparities in Type of Heart Failure and Hospitalization.Journal of immigrant and minority health · 2019
    Article
  20. 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 at 2 institutions in 2 countries.

Gianfranco DamianiDepartment of Public Health, Università Cattolica Sacro Cuore, Rome, Italy.
Eleonora SalvatoriDepartment of Public Health, Università Cattolica Sacro Cuore, Rome, Italy.
Giulia SilvestriniDepartment of Public Health, Università Cattolica Sacro Cuore, Rome, Italy.
Ivana IvanovaERAWEB Project, Faculty of Medicine, Saints Cyril and Methodius University of Skopje, Skopje, Macedonia; Serbia.
Luka BojovicERAWEB Project, Faculty of Medicine, University of Nis, Nis, Serbia.
Lanfranco IodiceDepartment of Public Health, Università Cattolica Sacro Cuore, Rome, Italy.
Walter RicciardiDepartment of Public Health, Università Cattolica Sacro Cuore, Rome, Italy.
Università Cattolica del Sacro Cuore · ITUniversity of Nis · RS

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeCardiovascular diseases are the leading cause of death and disability worldwide. Among these diseases, heart failure (HF) and acute myocardial infarction (AMI) are the most common causes of hospitalization. Therefore, readmission for HF and AMI is receiving increasing attention. Several socioeconomic factors could affect readmissions in this target group, and thus, a systematic review was conducted to identify the effect of socioeconomic factors on the risk for readmission in people aged 65 years and older with HF or AMI.

methodsThe search was carried out by querying an electronic database and hand searching. Studies with an association between the risk for readmission and at least one socioeconomic factor in patients aged 65 years or older who are affected by HF or AMI were included. A quality assessment was conducted independently by two reviewers. The agreement was quantified by Cohen's Kappa statistic. The outcomes of studies were categorized in the short-term and the long-term, according to the follow-up period of readmission. A positive association was reported if an increase in the risk for readmission among disadvantaged patients was found. A cumulative effect of socioeconomic factors was computed by considering the association for each study and the number of available studies.

resultsA total of eleven articles were included in the review. They were mainly published in the United States. All the articles analyzed patients who were hospitalized for HF, and four of them also analyzed patients with AMI. Seven studies (63.6%) were found for the short-term outcome, and four studies (36.4%) were found for the long-term outcome. For the short-term outcome, race/ethnicity and marital status showed a positive cumulative effect on the risk for readmission. Regarding the educational level of a patient, no effect was found.

conclusionAmong the socioeconomic factors, mainly race/ethnicity and marital status affect the risk for readmission in elderly people with HF or AMI. Multidisciplinary hospital-based quality initiatives, disease management, and care transition programs are a priority for health care systems to achieve better coordination.

Indexed as

AgedAged, 80 and overFemaleHeart FailureHumansMaleMyocardial InfarctionPatient ReadmissionRisk FactorsSocioeconomic FactorsUnited Statescardiovascular disease (CVD)chronic conditionsdisparitiesolder patientsre-hospitalizationsocioeconomic factors

Identifiers

PMID25653510
PMCPMC4310718
OpenAlexW1977804854

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.