Literature DB >> 35415615

Factors Related to Pediatric Readmissions of Four Major Diagnostic Categories in Hawai`i.

Breanna Morrison1, Eunjung Lim1, Hyeong Jun Ahn1, John J Chen1.   

Abstract

Readmissions are a key quality measure for health care decision making and understanding variables associated with readmissions has become a crucial research area. This study identified patient-level factors that might be associated with pediatric readmissions using a database that included inpatient data from 2008 to 2017 from Hawai`i. Four major diagnostic categories with the most pediatric readmissions in the state were identified: respiratory, digestive, mental, and nervous system diseases and disorders. The associations between readmission and patient-level variables, such as age, sex, race/ethnicity, insurance status, and Charlson Comorbidity Index (CCI), were determined for each diagnosis and for overall readmissions. CCI and insurance were the strongest predictors when all diagnoses were combined. However, for some diagnoses, there was weak or no association between CCI, insurance, and readmission. This suggests that diagnosis-specific analysis of predictors of readmission may be more useful than looking at predictors of readmission for all diagnoses combined. While this study focused on patient variables, future studies should also incorporate how hospital variables may also be related to diagnosis. ©Copyright 2022 by University Health Partners of Hawai‘i (UHP Hawai‘i).

Entities:  

Keywords:  Comorbidities; Hawai`i; Health Disparities; Patient Readmission; Pediatrics

Mesh:

Year:  2022        PMID: 35415615      PMCID: PMC8995857     

Source DB:  PubMed          Journal:  Hawaii J Health Soc Welf        ISSN: 2641-5216


  40 in total

1.  Characteristics and predictors of 7- and 30-day hospital readmissions to pediatric neurology.

Authors:  Annie Hong; Yash Shah; Kanwaljit Singh; Shefali Karkare; Sanjeev Kothare
Journal:  Neurology       Date:  2019-03-20       Impact factor: 9.910

2.  Characteristics of frequent users of emergency departments.

Authors:  Kelly A Hunt; Ellen J Weber; Jonathan A Showstack; David C Colby; Michael L Callaham
Journal:  Ann Emerg Med       Date:  2006-03-30       Impact factor: 5.721

3.  Prevalence and predictors of return visits to pediatric emergency departments.

Authors:  Ayobami T Akenroye; Cary W Thurm; Mark I Neuman; Elizabeth R Alpern; Geetanjali Srivastava; Sandra P Spencer; Harold K Simon; Javier Tejedor-Sojo; Craig H Gosdin; Elizabeth Brennan; Laura M Gottlieb; James C Gay; Richard E McClead; Samir S Shah; Anne M Stack
Journal:  J Hosp Med       Date:  2014-10-23       Impact factor: 2.960

4.  Inflammatory Bowel Disease: Predictors and Causes of Early and Late Hospital Readmissions.

Authors:  Prashant Mudireddy; Frank Scott; Alexandra Feathers; Gary R Lichtenstein
Journal:  Inflamm Bowel Dis       Date:  2017-10       Impact factor: 5.325

5.  Ethnic Comparison of 30-Day Potentially Preventable Readmissions After Stroke in Hawaii.

Authors:  Kazuma Nakagawa; Hyeong Jun Ahn; Deborah A Taira; Jill Miyamura; Tetine L Sentell
Journal:  Stroke       Date:  2016-09-08       Impact factor: 7.914

6.  Association of Social Determinants With Children's Hospitals' Preventable Readmissions Performance.

Authors:  Marion R Sills; Matt Hall; Jeffrey D Colvin; Michelle L Macy; Gretchen J Cutler; Jessica L Bettenhausen; Rustin B Morse; Katherine A Auger; Jean L Raphael; Laura M Gottlieb; Evan S Fieldston; Samir S Shah
Journal:  JAMA Pediatr       Date:  2016-04       Impact factor: 16.193

7.  How well can hospital readmission be predicted in a cohort of hospitalized children? A retrospective, multicenter study.

Authors:  Chris Feudtner; James E Levin; Rajendu Srivastava; Denise M Goodman; Anthony D Slonim; Vidya Sharma; Samir S Shah; Susmita Pati; Crayton Fargason; Matt Hall
Journal:  Pediatrics       Date:  2009-01       Impact factor: 7.124

8.  The number of discharge medications predicts thirty-day hospital readmission: a cohort study.

Authors:  David Picker; Kevin Heard; Thomas C Bailey; Nathan R Martin; Gina N LaRossa; Marin H Kollef
Journal:  BMC Health Serv Res       Date:  2015-07-23       Impact factor: 2.655

Review 9.  Is the readmission rate a valid quality indicator? A review of the evidence.

Authors:  Claudia Fischer; Hester F Lingsma; Perla J Marang-van de Mheen; Dionne S Kringos; Niek S Klazinga; Ewout W Steyerberg
Journal:  PLoS One       Date:  2014-11-07       Impact factor: 3.240

10.  Identifying potentially preventable readmissions.

Authors:  Norbert I Goldfield; Elizabeth C McCullough; John S Hughes; Ana M Tang; Beth Eastman; Lisa K Rawlins; Richard F Averill
Journal:  Health Care Financ Rev       Date:  2008
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