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

Author:

Zhou Huaqiong,Roberts Pam A,Dhaliwal Satvinder S,Della Phillip R

Abstract

ObjectiveTo synthesise evidence on risk factors associated with paediatric unplanned hospital readmissions (UHRs).DesignSystematic review.Data sourceCINAHL, EMBASE (Ovid) and MEDLINE from 2000 to 2017.Eligibility criteriaStudies published in English with full-text access and focused on paediatric All-cause, Surgical procedure and General medical condition related UHRs were included.Data extraction and synthesisCharacteristics of the included studies, examined variables and the statistically significant risk factors were extracted. Two reviewers independently assessed study quality based on six domains of potential bias. Pooling of extracted risk factors was not permitted due to heterogeneity of the included studies. Data were synthesised using content analysis and presented in narrative form.ResultsThirty-six significant risk factors were extracted from the 44 included studies and presented under three health condition groupings. For All-cause UHRs, ethnicity, comorbidity and type of health insurance were the most frequently cited factors. For Surgical procedure related UHRs, specific surgical procedures, comorbidity, length of stay (LOS), age, the American Society of Anaesthesiologists class, postoperative complications, duration of procedure, type of health insurance and illness severity were cited more frequently. The four most cited risk factors associated with General medical condition related UHRs were comorbidity, age, health service usage prior to the index admission and LOS.ConclusionsThis systematic review acknowledges the complexity of readmission risk prediction in paediatric populations. This review identified four risk factors across all three health condition groupings, namely comorbidity; public health insurance; longer LOS and patients<12 months or between 13–18 years. The identification of risk factors, however, depended on the variables examined by each of the included studies. Consideration should be taken into account when generalising reported risk factors to other institutions. This review highlights the need to develop a standardised set of measures to capture key hospital discharge variables that predict unplanned readmission among paediatric patients.

Funder

Australian Research Council

Publisher

BMJ

Subject

General Medicine

Reference110 articles.

1. Measuring Hospital Quality Using Pediatric Readmission and Revisit Rates

2. Australian Institute of Health and Welfare. National healthcare agreement: PI23-Unplanned hospital readmission rates. Secondary National healthcare agreement: PI23-Unplanned hospital readmission rates. 2013 http://meteor.aihw.gov.au/content/index.phtml/itemId/497129

3. Department of Health and Human Services. Readmissions t hospital: percentage of unplanned readmissions within 28 days of separation, during the 6 month time period. Secondary Readmissions t hospital: percentage of unplanned readmissions within 28 days of separation, during the 6 month time period. US: Department of Health and Human Services, 2012.

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

5. Predictors of 30-Day Readmission and Association with Primary Care Follow-Up Plans

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