Evidence map›Paper›PMID 31272442›Full record

Observational studyBMC health services research2019

Common step-wise interventions improved primary care clinic visits and reduced emergency department discharge failures: a large-scale retrospective observational study.

Chet D Schrader, Richard D Robinson, Somer Blair, Sajid Shaikh, Amy F Ho, James P D'Etienne, Jessica J Kirby, Radhika Cheeti, Nestor R Zenarosa, Hao Wang

Abstract readObservational Study
In one paragraph

Observational study in BMC health services research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

7 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. A Scoping Review of Emergency Department Discharge Risk Stratification.The western journal of emergency medicine · 2021
    Article
  6. Article
  7. Emergency department-based interventions affecting social determinants of health in the United States: A scoping review.Academic emergency medicine : official journal of the Society for Academic Emergency Medicine · 2021
    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

10 authors.

Chet D SchraderDepartment of Emergency Medicine, Integrative Emergency Services, John Peter Smith Health Network, 1500 S. Main St, Fort Worth, TX, 76104, USA.
Richard D RobinsonDepartment of Emergency Medicine, Integrative Emergency Services, John Peter Smith Health Network, 1500 S. Main St, Fort Worth, TX, 76104, USA.
Somer BlairOffice of Clinical Research, John Peter Smith Health Network, 1500 S. Main St, Fort Worth, TX, 76104, USA.
Sajid ShaikhDepartment of Information Technology, John Peter Smith Health Network, 1500 S. Main St, Fort Worth, TX, 76104, USA.
Amy F HoDepartment of Emergency Medicine, Integrative Emergency Services, John Peter Smith Health Network, 1500 S. Main St, Fort Worth, TX, 76104, USA.
James P D'EtienneDepartment of Emergency Medicine, Integrative Emergency Services, John Peter Smith Health Network, 1500 S. Main St, Fort Worth, TX, 76104, USA.
Jessica J KirbyDepartment of Emergency Medicine, Integrative Emergency Services, John Peter Smith Health Network, 1500 S. Main St, Fort Worth, TX, 76104, USA.
Radhika CheetiDepartment of Information Technology, John Peter Smith Health Network, 1500 S. Main St, Fort Worth, TX, 76104, USA.
Nestor R ZenarosaDepartment of Emergency Medicine, Integrative Emergency Services, John Peter Smith Health Network, 1500 S. Main St, Fort Worth, TX, 76104, USA.
Hao WangDepartment of Emergency Medicine, Integrative Emergency Services, John Peter Smith Health Network, 1500 S. Main St, Fort Worth, TX, 76104, USA. hwang01@jpshealth.org.ORCID http://orcid.org/0000-0002-5105-0951

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIt is critical to understand whether providing health insurance coverage, assigning a dedicated Primary Care Physician (PCP), and arranging timely post-Emergency Department (ED) clinic follow-up can improve compliance with clinic visits and reduce ED discharge failures. We aim to determine the benefits of providing these common step-wise interventions and further investigate the necessity of urgent PCP referrals on behalf of ED discharged patients.

methodsThis is a single-center retrospective observational study. All patients discharged from the ED over the period Jan 1, 2015 through Dec 31, 2017 were included in the study population. Step-wise interventions included providing charity health insurance, assigning a dedicated PCP, and providing ED follow-up clinics. PCP clinic compliance and ED discharge failures were measured and compared among groups receiving different interventions.

resultA total of 227,627 patients were included. Fifty-eight percent of patients receiving charity insurance had PCP visits in comparison to 23% of patients without charity insurance (p < 0.001). Seventy-seven percent of patients with charity insurance and PCP assignments completed post-ED discharge PCP visits in comparison to only 4.5% of those with neither charity insurance nor PCP assignments (p < 0.001).

conclusionsStep-wise interventions increased patient clinic follow-up compliance while simultaneously reducing ED discharge failures. Such interventions might benefit communities with similar patient populations.

Indexed as

AdultAmbulatory CareEmergency Service, HospitalFemaleHumansMaleMiddle AgedPatient CompliancePatient DischargeQuality ImprovementRetrospective StudiesClinical complianceDischarge failureEmergency departmentInterventions

Identifiers

PMID31272442
PMCPMC6610992

What OpenQuestion holds

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LicenceCC BY
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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.