Evidence map›Paper›PMID 35187225›Full record

ArticleJournal of patient experience2022

A Prospective Observational Study Assessing the Impacts of Health Literacy and Psychosocial Determinants of Health on 30-day Readmission Risk.

Ojas A Deshpande, John A Tawfik, Aram A Namavar, KimNgan P Nguyen, Sitaram S Vangala, Tahmineh Romero, Neil N Parikh, Erin P Dowling

Open access · diamondAbstract read
In one paragraph

Article in Journal of patient experience, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact, top 97% 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

1 citing paper in PubMed, 0 citations in OpenAlex.

  1. 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

8 authors at 1 institution in 1 country.

Ojas A DeshpandeUniversity of California, Los Angeles, CA, USA.
John A TawfikUniversity of California, Los Angeles, CA, USA.ORCID https://orcid.org/0000-0001-9653-4311
Aram A NamavarUniversity of California, Los Angeles, CA, USA.
KimNgan P NguyenUniversity of California, Los Angeles, CA, USA.
Sitaram S VangalaUniversity of California, Los Angeles, CA, USA.
Tahmineh RomeroUniversity of California, Los Angeles, CA, USA.
Neil N ParikhUniversity of California, Los Angeles, CA, USA.
Erin P DowlingUniversity of California, Los Angeles, CA, USA.
University of California, Los Angeles · US

Funding

UCLA Clinical Translational Science InstituteUL1TR001881 · NCATS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI ARLEEN F. BROWN, ARASH NAEIM · 2016 to 2026
$118.1M
NCATS NIH HHS UL1 TR001881
6 · The paper itself

Abstract

Our objective was to assess the utility of an assessment battery capturing health literacy (HL) and biopsychosocial determinants of health in predicting 30-day readmission in comparison to a currently well-adopted readmission risk calculator. We also sought to capture the distribution of inpatient HL, with emphasis on inadequate and marginal HL (an intermediate HL level). A prospective observational study was conducted to obtain HL and biopsychosocial data on general medicine inpatients admitted to the UCLA health system. Five hundred thirty-seven subjects were tracked prospectively for 30-day readmission after index hospitalization. HL was significantly better at predicting readmission compared to LACE + (Length, admission acuity, comorbidities, emergency room visits) alone (

Indexed as

30-day readmissionAURAhealthcare language barriers.health literacyhealth outcomeshospital medicineLACE +marginal health literacyobservationpatient educationpredictive analysissocial determinantsTOFHLA

Identifiers

PMID35187225
PMCPMC8855411
OpenAlexW4213309430

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.