Literature DB >> 32003055

Measuring stroke outcomes for 74 501 patients using linked administrative data: System-wide estimates and validation of 'home-time' as a surrogate measure of functional status.

Melina Gattellari1,2, Chris Goumas1,3, Bin Jalaludin1,4,5, John Worthington1,2,6.   

Abstract

AIMS: Administrative data offer cost-effective, whole-of-population stroke surveillance yet the lack of validated measures of functional status is a shortcoming. The number of days spent living at home after stroke ('home-time') is a patient-centred outcome that can be objectively ascertained from administrative data. Population-based validation against both severity and outcome measures and for all subtypes is lacking. We aimed to report representative 'home-time' estimates and validate 'home-time' as a surrogate measure of functional status after stroke.
METHODS: Stroke hospitalisations from a state-wide census in New South Wales, Australia, from January 1, 2005 to March 31, 2014 were linked to prehospital data, poststroke admissions and deaths. We correlated 90-day 'home-time' with Glasgow Coma Scale (GCS) scores, measured upon a patient's initial contact with paramedics and Functional Independence Measure (FIM) scores, measured upon entry to rehabilitation after the acute hospital stroke admission. Negative binomial regressions identified predictors of 'home-time'.
RESULTS: Patients with stroke (N = 74 501) spent a median of 53 days living at home 90 days after the event. Median 'home-time' was 60 days after ischaemic stroke, 49 days after subarachnoid haemorrhage and 0 days after intracerebral haemorrhage. GCS and FIM scores significantly correlated with 'home-time' (P < .001). Women spent significantly less time at home compared with men after stroke, although being married increased 'home-time' after ischaemic stroke and subarachnoid haemorrhage.
CONCLUSIONS: These findings underscore the immediate and adverse impact of stroke. 'Home-time' measured using administrative data is a robust, replicable and valid patient-centred outcome enabling inexpensive population-based surveillance and system-wide quality assessment.
© 2020 John Wiley & Sons Ltd.

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Year:  2020        PMID: 32003055     DOI: 10.1111/ijcp.13484

Source DB:  PubMed          Journal:  Int J Clin Pract        ISSN: 1368-5031            Impact factor:   2.503


  3 in total

1.  Clinical Significance and Value of Serum Homocysteine and Urine 11 Dehydrothromboxane B2 Combined with Transferrin-Specific Peptide in the Diagnosis of Cerebral Apoplexy.

Authors:  Junli Liu; Juan He; Chang Zhang
Journal:  Comput Math Methods Med       Date:  2022-05-17       Impact factor: 2.809

2.  Perspectives on Home Time and Its Association With Quality of Life After Inpatient Surgery Among US Veterans.

Authors:  Shipra Arya; Ashley H Langston; Rui Chen; Marzena Sasnal; Elizabeth L George; Aditi Kashikar; Nicolas B Barreto; Amber W Trickey; Arden M Morris
Journal:  JAMA Netw Open       Date:  2022-01-04

Review 3.  The Allure of Big Data to Improve Stroke Outcomes: Review of Current Literature.

Authors:  Muideen T Olaiya; Nita Sodhi-Berry; Lachlan L Dalli; Kiran Bam; Amanda G Thrift; Judith M Katzenellenbogen; Lee Nedkoff; Joosup Kim; Monique F Kilkenny
Journal:  Curr Neurol Neurosci Rep       Date:  2022-03-11       Impact factor: 5.081

  3 in total

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