Evidence map›Paper›PMID 36693994›Full record

ArticleEuropean journal of pediatrics2023

Validation of the HOSPITAL score as predictor of 30-day potentially avoidable readmissions in pediatric hospitalized population: retrospective cohort study.

Nayara Cristina da Silva, Marcelo Keese Albertini, André Ricardo Backes, Geórgia das Graças Pena

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In one paragraph

Article in European journal of pediatrics, 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
1.2field-weighted citation impact, top 21% 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, 2 citations in OpenAlex.

  1. Review
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

4 authors at 2 institutions in 1 country.

Nayara Cristina da SilvaGraduate Program in Health Sciences, Federal University of Uberlandia, Uberlandia, Minas Gerais, 38400-902, Brazil.ORCID http://orcid.org/0000-0003-3551-475X
Marcelo Keese AlbertiniSchool of Computer Science, Federal University of Uberlandia, Minas Gerais, 38408-100, Brazil.ORCID http://orcid.org/0000-0002-1846-946X
André Ricardo BackesDepartment of Computing, Federal Univeristy of Sao Carlos, São Carlos, São Paulo, 13565-905, Brazil.ORCID http://orcid.org/0000-0002-7486-4253
Geórgia das Graças PenaGraduate Program in Health Sciences, Federal University of Uberlandia, Uberlandia, Minas Gerais, 38400-902, Brazil. georgiapena@gmail.com.ORCID http://orcid.org/0000-0002-0360-223X
Universidade Federal de Uberlândia · BRUniversidade Federal de São Carlos · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Potentially avoidable pediatric readmissions are a burden to patients and their families. Identifying patients with higher risk of readmission could help minimize hospital costs and facilitate the targeting of care interventions. HOSPITAL score is a tool developed and widely used to predict adult patient's readmissions; however its predictive capacity for pediatric readmissions has not yet been evaluated. The aim of the study was to validate the HOSPITAL score application to predict 30-day potentially avoidable readmissions in a pediatric hospitalized population. This is a retrospective cohort study with patients under 18 years old admitted to a tertiary university hospital (n = 6,344). The HOSPITAL score was estimated for each admission. Subsequently, we classified the patients as low (0-4), intermediate (5-6), and high (7-12) risk groups. In order to estimate the discrimination power, the sensitivity, specificity, and accuracy were determined by the receiver operating characteristics (ROC) and the calibration by the Hosmer-Lemeshow goodness-of-fit. The 30-day hospital readmission was 11.70% (745). The accuracy was 0.80 (CI 95%, 0.77, 0.83), with a sensitivity of 70.96% and specificity of 78.29%, and a good calibration (p = 0.34).    Conclusion: HOSPITAL score showed a good discrimination and can be used to predict 30-day potentially avoidable readmission in a large pediatric population with different medical diagnoses. Our study validates and expands the usefulness of the HOSPITAL score as a tool to predict avoidable hospital readmissions for pediatric population. What is Known: •   Pediatric readmissions burden patients, the family network, and the health system. In addition, it influences negatively child development. •   The HOSPITAL score is one of the tools developed and widely used to identify patients at high risk of hospital readmission, but its predictive capacity for pediatric readmissions has not been yet assessed. What is New: • The HOSPITAL score showed good ability to identify a risk of 30-day potentially avoidable readmission in a pediatric population in different clinical contexts and diagnoses. • Our study expands the usefulness of the HOSPITAL score as a tool for predicting hospital readmissions for children and adolescents.

Indexed as

HospitalizationPatient ReadmissionAdolescentAdultChildHospitals, UniversityHumansRetrospective StudiesRisk FactorsElectronic health recordsHospitalizationHospital readmissionPediatricsRisk factors

Identifiers

PMID36693994
OpenAlexW4317889315

What OpenQuestion holds

Textmetadata
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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.