Literature DB >> 27113555

Who comes back with what: a retrospective database study on reasons for emergency readmission to hospital in children and young people in England.

Linda P M M Wijlaars1, Pia Hardelid2, Jenny Woodman1, Janice Allister3, Ronny Cheung4, Ruth Gilbert1.   

Abstract

OBJECTIVE: To determine the proportion of children and young people (CYP) in England who are readmitted for the same condition.
DESIGN: Retrospective cohort study.
SETTING: National administrative hospital data (Hospital Episode Statistics). PARTICIPANTS: CYP (0-year-olds to 24-year-olds) discharged after an emergency admission to the National Health Service in England in 2009/2010. MAIN OUTCOME MEASURES: Coded primary diagnosis classified in six broad groups indicating reason for admission (infection, chronic condition, injury, perinatal related or pregnancy related, sign or symptom or other). We grouped readmissions as ≤30 days or between 31 days and 2 years after the index discharge. We used multivariable logistic regression to determine factors at the index admission that were predictive of readmission within 30 days.
RESULTS: 9% of CYP were readmitted within 30 days. Half of the 30-day readmissions and 40% of the recurrent admissions between 30 days and 2 years had the same primary diagnosis group as the original admission. These proportions were consistent across age, sex and diagnostic groups, except for infants and young women with pregnancy-related problems (15-24 years) who were more likely to be readmitted for the same primary diagnostic group. CYP with underlying chronic conditions were readmitted within 30 days twice as often (OR: 1.93, 95% CI 1.89 to 1.99) compared with CYP without chronic conditions.
CONCLUSIONS: Financial penalties for readmission are expected to incentivise more effective care of the original problem, thereby avoiding readmission. Our findings, that half of children come back with different problems, do not support this presumption. Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://www.bmj.com/company/products-services/rights-and-licensing/

Entities:  

Keywords:  Adolescent Health; Epidemiology; Health services research

Mesh:

Year:  2016        PMID: 27113555     DOI: 10.1136/archdischild-2015-309290

Source DB:  PubMed          Journal:  Arch Dis Child        ISSN: 0003-9888            Impact factor:   3.791


  10 in total

1.  Utilising identifier error variation in linkage of large administrative data sources.

Authors:  Katie Harron; Gareth Hagger-Johnson; Ruth Gilbert; Harvey Goldstein
Journal:  BMC Med Res Methodol       Date:  2017-02-07       Impact factor: 4.615

2.  International comparison of emergency hospital use for infants: data linkage cohort study in Canada and England.

Authors:  Katie Harron; Ruth Gilbert; David Cromwell; Sam Oddie; Astrid Guttmann; Jan van der Meulen
Journal:  BMJ Qual Saf       Date:  2017-06-12       Impact factor: 7.035

3.  Data Resource Profile: Hospital Episode Statistics Admitted Patient Care (HES APC).

Authors:  Annie Herbert; Linda Wijlaars; Ania Zylbersztejn; David Cromwell; Pia Hardelid
Journal:  Int J Epidemiol       Date:  2017-08-01       Impact factor: 7.196

4.  Risk factors associated with paediatric unplanned hospital readmissions: a systematic review.

Authors:  Huaqiong Zhou; Pam A Roberts; Satvinder S Dhaliwal; Phillip R Della
Journal:  BMJ Open       Date:  2019-01-28       Impact factor: 2.692

5.  Risk factors associated with 30-day all-cause unplanned hospital readmissions at a tertiary children's hospital in Western Australia.

Authors:  Huaqiong Zhou; Phillip R Della; Paul Porter; Pamela A Roberts
Journal:  J Paediatr Child Health       Date:  2019-05-14       Impact factor: 1.954

6.  Online self-compassion training to improve the wellbeing of youth with chronic medical conditions: protocol for a randomised control trial.

Authors:  Amy Finlay-Jones; Mark Boyes; Yael Perry; Fuschia Sirois; Rachael Lee; Clare Rees
Journal:  BMC Public Health       Date:  2020-01-28       Impact factor: 3.295

7.  Chronic conditions in children and young people: learning from administrative data.

Authors:  Linda P M M Wijlaars; Ruth Gilbert; Pia Hardelid
Journal:  Arch Dis Child       Date:  2016-05-31       Impact factor: 3.791

8.  Age trends in 30 day hospital readmissions: US national retrospective analysis.

Authors:  Jay G Berry; James C Gay; Karen Joynt Maddox; Eric A Coleman; Emily M Bucholz; Margaret R O'Neill; Kevin Blaine; Matthew Hall
Journal:  BMJ       Date:  2018-02-27

9.  Impact of Well-being Interventions for Siblings of Children and Young People with a Chronic Physical or Mental Health Condition: A Systematic Review and Meta-Analysis.

Authors:  Mhairi McKenzie Smith; Snehal Pinto Pereira; Lynette Chan; Charlotte Rose; Roz Shafran
Journal:  Clin Child Fam Psychol Rev       Date:  2018-06

10.  Socio-demographic patterns in hospital admissions and accident and emergency attendances among young people using linkage to NHS Hospital Episode Statistics: results from the Avon Longitudinal Study of Parents and Children.

Authors:  Leigh Johnson; Rosie Cornish; Andy Boyd; John Macleod
Journal:  BMC Health Serv Res       Date:  2019-02-26       Impact factor: 2.655

  10 in total

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