Evidence map›Paper›PMID 29261248›Full record

Trial reportThe American journal of managed care2017

Investigating the impact of intervention refusal on hospital readmission.

Alexis Coulourides Kogan, Eileen Koons, Susan Enguidanos

Open access · greenAbstract readRandomized Controlled Trial
In one paragraph

Trial report in The American journal of managed care, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
0.2field-weighted citation impact, top 38% 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

3 citing papers in PubMed, 1 synthesis or guideline pooled it, 3 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. 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

3 authors at 1 institution in 1 country.

Alexis Coulourides KoganKeck School of Medicine of USC, University of Southern California, 1000 S Fremont Ave, Bldg A-6, 4th Fl, Ste 6420, Alhambra, CA 91803. E-mail: acoulour@usc.edu.
Eileen Koons
Susan Enguidanos
University of Southern California · US

Funding

SWIFT: Social Work Intervention Focused on Transitions Among At-Risk Older AdultsR21AG034557 · NIA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI ENGUIDANOS, SUSAN M · 2010 to 2011
$359k
Investigating the Impact of Person-Centered Home-Based Palliative Care on ProvidersK99AG052647 · NIA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI COULOURIDES KOGAN, ALEXIS MARIE · 2016 to 2017
$192k
NIA NIH HHS K99 AG052647NIA NIH HHS R21 AG034557
6 · The paper itself

Abstract

objectivesTo identify characteristics and readmission risks associated with opting out of a social work-driven transition intervention. STUDY

designSecondary data analysis of a randomized controlled pilot study at a large nonprofit urban community hospital.

methodsHospitalized English-speaking, cognitively intact adults 65 years or older with expected discharge back to the community were eligible for enrollment. Additionally, patients met at least 1 of the 3 criteria: 1) 75 years or older, 2) taking 5 or more medications, or 3) had 1 or more prior inpatient stays or emergency department visits in the previous 6 months. The transition intervention consisted of up to 2 in-home visits (the first occurring within 48 hours after discharge) and up to 4 telephone follow-up calls (for a maximum of 6 total contacts) by a transition social worker. This study analyzed participants randomized to the intervention arm on measures including demographics, medical diagnoses, presence of advance directive, and all-cause 30-day hospital readmissions.

resultsOf the 90 patients randomized to the Social Work Intervention Focused on Transitions intervention group, 10% were readmitted within 30 days and nearly one-third refused (ie, opted out of) the home visit component of the intervention. Multivariate analyses revealed that those opting out of the intervention had 3 times greater odds of having a respiratory condition compared with intervention recipients (odds ratio [OR], 3.10; 95% CI, 1.09-8.80; P = .034). Additionally, opting out of the intervention (OR, 6.75; 95% CI, 1.05-43.52; P = .045) and having a diagnosis of cancer (OR, 29.59; 95% CI, 2.01-435.45; P = .014) significantly predicted readmission.

conclusionsFindings suggest that some at-risk patients may not be receptive to services and programs aimed at improving care transitions, resulting in a higher risk for readmission.

Indexed as

AgedContinuity of Patient CareFemaleFollow-Up StudiesGeriatric AssessmentHumansMalePatient DischargePatient Education as TopicPatient ReadmissionReferral and ConsultationRisk FactorsTreatment Refusal

Identifiers

PMID29261248
PMCPMC5839474
OpenAlexW3006175579

What OpenQuestion holds

Textmetadata
LicenceTDM
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.