Evidence map›Paper›PMID 36674266›Full record

ArticleInternational journal of environmental research and public health2023

Effect of Disease Severity, Age of Child, and Clinic No-Shows on Unscheduled Healthcare Use for Childhood Asthma at an Academic Medical Center.

Pavani Rangachari, Imran Parvez, Audrey-Ann LaFontaine, Christopher Mejias, Fahim Thawer, Jie Chen, Niharika Pathak, Renuka Mehta

Open access · goldAbstract read
In one paragraph

Article in International journal of environmental research and public health, 2023. 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
0.4field-weighted citation impact, top 36% 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, 1 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 2 institutions in 1 country.

Pavani RangachariDepartment of Population Health & Leadership, School of Health Sciences, University of New Haven, West Haven, CT 06516, USA.ORCID 0000-0002-9464-7299
Imran ParvezDivision of Biostatistics and Data Science, Department of Population Health Sciences, Medical College of Georgia, Augusta University, Augusta, GA 30912, USA.
Audrey-Ann LaFontaineMedical College of Georgia, Augusta University, Augusta, GA 30912, USA.ORCID 0000-0003-3487-6273
Christopher MejiasMedical College of Georgia, Augusta University, Augusta, GA 30912, USA.
Fahim ThawerMedical College of Georgia, Augusta University, Augusta, GA 30912, USA.
Jie ChenDivision of Biostatistics and Data Science, Department of Population Health Sciences, Medical College of Georgia, Augusta University, Augusta, GA 30912, USA.
Niharika PathakDepartment of Population Health & Leadership, School of Health Sciences, University of New Haven, West Haven, CT 06516, USA.ORCID 0000-0003-2407-033X
Renuka MehtaDivision of Critical Care Medicine, Department of Pediatrics, Medical College of Georgia, Augusta University, Augusta, GA 30912, USA.
Augusta University · USUniversity of New Haven · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study examines the influence of various individual demographic and risk factors on the use of unscheduled healthcare (emergency and inpatient visits) among pediatric outpatients with asthma over three retrospective timeframes (12, 18, and 24 months) at an academic health center. Out of a total of 410 children who visited an academic medical center for asthma outpatient care between 2019 and 2020, 105 (26%) were users of unscheduled healthcare for childhood asthma over the prior 12 months, 131 (32%) over the prior 18 months, and 147 (36%) over the prior 24 months. multiple logistic regression (MLR) analysis of the effect of individual risk factors revealed that asthma severity, age of child, and clinic no-shows were statistically significant predictors of unscheduled healthcare use for childhood asthma. Children with higher levels of asthma severity were significantly more likely to use unscheduled healthcare (compared to children with lower levels of asthma severity) across all three timeframes. Likewise, children with three to four clinic no-shows were significantly more likely to use unscheduled healthcare compared to children with zero clinic no-shows in the short term (12 and 18 months). In contrast, older children were significantly less likely to use unscheduled healthcare use compared to younger children in the longer term (24 months). By virtue of its scope and design, this study provides a foundation for addressing a need identified in the literature for short- and long-term strategies for improving supported self-management and reducing unscheduled healthcare use for childhood asthma at the patient, provider, and organizational levels, e.g., (1) implementing telehealth services for asthma outpatient care to reduce clinic no-shows across all levels of asthma severity in the short term; (2) developing a provider-patient partnership to enable patient-centered asthma control among younger children with higher asthma severity in the long term; and (3) identifying hospital-community linkages to address social risk factors influencing clinic no-shows and unscheduled healthcare use among younger children with higher asthma severity in the long term.

Indexed as

AsthmaDelivery of Health CareAcademic Medical CentersAdolescentChildHumansPatient AcuityRetrospective Studiesasthma severityclinic no-showspediatric asthmasocial determinants of healthsupported self-management of asthmaunscheduled healthcare use

Identifiers

PMID36674266
PMCPMC9864702
OpenAlexW4316372001

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.