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dc.contributor.authorZhou, H.
dc.contributor.authorRoberts, P.
dc.contributor.authorDhaliwal, S.
dc.contributor.authorDella, Phillip
dc.date.accessioned2019-02-19T04:16:02Z
dc.date.available2019-02-19T04:16:02Z
dc.date.created2019-02-19T03:58:09Z
dc.date.issued2019
dc.identifier.citationZhou, H. and Roberts, P. and Dhaliwal, S. and Della, P. 2019. Risk factors associated with paediatric unplanned hospital readmissions: A systematic review. BMJ Open. 9 (1): Article ID e020554.
dc.identifier.urihttp://hdl.handle.net/20.500.11937/74176
dc.identifier.doi10.1136/bmjopen-2017-020554
dc.description.abstract

Objective To synthesise evidence on risk factors associated with paediatric unplanned hospital readmissions (UHRs). Design Systematic review. Data source CINAHL, EMBASE (Ovid) and MEDLINE from 2000 to 2017. Eligibility criteria Studies 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 synthesis Characteristics 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. Results Thirty-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. Conclusions This 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.

dc.publisherBM J Group
dc.rights.urihttp://creativecommons.org/licenses/by-nc/4.0/
dc.titleRisk factors associated with paediatric unplanned hospital readmissions: A systematic review
dc.typeJournal Article
dcterms.source.volume9
dcterms.source.number1
dcterms.source.issn2044-6055
dcterms.source.titleBMJ Open
curtin.departmentSchool of Nursing, Midwifery and Paramedicine
curtin.accessStatusOpen access


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