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Journal of Pediatric Endocrinology and Metabolism

Editor-in-Chief: Kiess, Wieland

Ed. by Bereket, Abdullah / Darendeliler, Feyza / Dattani, Mehul / Gustafsson, Jan / Luo, Fei Hong / Mericq, Veronica / Toppari, Jorma


IMPACT FACTOR 2018: 1.239

CiteScore 2018: 1.22

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2191-0251
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Volume 32, Issue 10

Issues

Validation of a risk screening tool for pediatric type 1 diabetes patients: a predictor of increased acute health care utilization

Bethany A. Glick
  • Corresponding author
  • Nationwide Children’s Hospital, Pediatric Endocrinology, 700 Children’s Drive, Columbus, OH 43205, USA, Phone: +614-722-8836, Fax: +614-722-4440
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  • Other articles by this author:
  • De Gruyter OnlineGoogle Scholar
/ K. Ming Chan Hong / Don Buckingham / Melissa Moore-Clingenpeel
  • Nationwide Children’s Hospital, Biostatistics Core and Critical Care Medicine, Columbus, OH, USA
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  • De Gruyter OnlineGoogle Scholar
/ Ann Salvator
  • Nationwide Children’s Hospital, Biostatistics Core and Critical Care Medicine, Columbus, OH, USA
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  • De Gruyter OnlineGoogle Scholar
/ Manmohan K. Kamboj
  • Nationwide Children’s Hospital, Ohio State University, Pediatric Endocrinology, Columbus, OH, USA
  • Other articles by this author:
  • De Gruyter OnlineGoogle Scholar
Published Online: 2019-09-06 | DOI: https://doi.org/10.1515/jpem-2019-0156

Abstract

Background

Both psychosocial and socioeconomic risk factors contribute to poor glycemic control (GC). Previous research has identified that diabetes care behaviors are generally ‘set’ by late childhood, further highlighting the importance of psychosocial screening and intervention in the early course of disease management. The purpose of the current study was to determine whether this brief risk assessment tool is associated with GC and acute health care (HC) utilization, and to evaluate the discriminatory utility of the tool for predicting poor outcomes.

Methods

This was a retrospective cohort design in which we compared risk assessment scores with health outcomes at 6, 12, and 18 months after new-onset type 1 diabetes diagnosis for 158 patients between 2015 and 2017. The two primary outcome variables were GC and acute HC utilization.

Results

Our data demonstrate that the greatest utility of the tool is for predicting increased acute HC utilization. It was most useful in differentiating between patients with vs. without any acute HC utilization, with excellent discriminatory ability (area under the receiver operator characteristic curve [AUC] = 0.93), sensitivity (90%), and specificity (97%).

Conclusions

Knowledge of the risk category in addition to identification of individual risk factors within each domain allows for not only clear treatment pathways but also individualized interventions. The risk assessment tool was less effective at differentiating patients with poor GC; however, the tool did have high specificity (83%) for predicting poor GC at 18 months which suggests that the tool may also be useful for predicting patients at risk for poor GC.

Keywords: acute health care utilization; hemoglobin A1c; psychosocial risk; type 1 diabetes

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About the article

Received: 2019-03-30

Accepted: 2019-07-03

Published Online: 2019-09-06

Published in Print: 2019-10-25


Author contributions: The authors declare no relevant conflict of interest. All the authors have accepted responsibility for the entire content of this submitted manuscript and approved submission.

Research funding: None declared.

Employment or leadership: None declared.

Honorarium: None declared.

Competing interests: The funding organization(s) played no role in the study design; in the collection, analysis and interpretation of data; in the writing of the report; or in the decision to submit the report for publication.


Citation Information: Journal of Pediatric Endocrinology and Metabolism, Volume 32, Issue 10, Pages 1155–1162, ISSN (Online) 2191-0251, ISSN (Print) 0334-018X, DOI: https://doi.org/10.1515/jpem-2019-0156.

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