Literature DB >> 26175251

Readmissions after stroke: linked data from the Australian Stroke Clinical Registry and hospital databases.

Monique F Kilkenny1, Helen M Dewey2, Vijaya Sundararajan3, Nadine E Andrew2, Natasha Lannin4, Craig S Anderson5, Geoffrey A Donnan6, Dominique A Cadilhac2.   

Abstract

OBJECTIVES: To assess the feasibility of linking a national clinical stroke registry with hospital admissions and emergency department data; and to determine factors associated with hospital readmission after stroke or transient ischaemic attack (TIA) in Australia. DESIGN AND
SETTING: Data from the Australian Stroke Clinical Registry (AuSCR) at a single Victorian hospital were linked to coded, routinely collected hospital datasets for admissions (Victorian Admitted Episodes Dataset) and emergency presentations (Victorian Emergency Minimum Dataset) in Victoria from 15 June 2009 to 31 December 2010, using stepwise deterministic data linkage techniques. MAIN OUTCOME MEASURES: Association of patient characteristics, social circumstances, processes of care and discharge outcomes with all-cause readmissions within 1 year from time of hospital discharge after an index admission for stroke or TIA.
RESULTS: Of 788 patients registered in the AuSCR, 46% (359/781) were female, 83% (658/788) had a stroke, and the median age was 76 years. Data were successfully linked for 782 of these patients (99%). Within 1 year of their index stroke or TIA event, 42% of patients (291/685) were readmitted, with 12% (35/286) readmitted due to a stroke or TIA. Factors significantly associated with 1-year hospital readmission were two or more presentations to an emergency department before the index event (adjusted odds ratio [aOR], 1.57; 95% CI, 1.02-2.43), higher Charlson comorbidity index score (aOR, 1.19; 95% CI, 1.07-1.32) and diagnosis of TIA on the index admission (aOR, 2.15; 95% CI, 1.30-3.56).
CONCLUSIONS: Linking clinical registry data with routinely collected hospital data for stroke and TIA is feasible in Victoria. Using these linked data, we found that readmission to hospital is common in this patient group and is related to their comorbid conditions.

Entities:  

Mesh:

Year:  2015        PMID: 26175251     DOI: 10.5694/mja15.00021

Source DB:  PubMed          Journal:  Med J Aust        ISSN: 0025-729X            Impact factor:   7.738


  7 in total

1.  A population-based study for 30-d hospital readmissions after acute ischemic stroke.

Authors:  Manoj K Mittal; Alejandro A Rabinstein; Jay Mandrekar; Robert D Brown; Kelly D Flemming
Journal:  Int J Neurosci       Date:  2016-07-14       Impact factor: 2.292

2.  Poor record linkage sensitivity biased outcomes in a linked cohort analysis.

Authors:  Cecilia L Moore; Heather F Gidding; Matthew G Law; Janaki Amin
Journal:  J Clin Epidemiol       Date:  2016-02-02       Impact factor: 6.437

3.  Variation in readmission and mortality following hospitalisation with a diagnosis of heart failure: prospective cohort study using linked data.

Authors:  Rosemary J Korda; Wei Du; Cathy Day; Karen Page; Peter S Macdonald; Emily Banks
Journal:  BMC Health Serv Res       Date:  2017-03-21       Impact factor: 2.655

4.  One-year versus five-year hospital readmission after ischemic stroke and TIA.

Authors:  Anna Therese Bjerkreim; Halvor Naess; Andrej Netland Khanevski; Lars Thomassen; Ulrike Waje-Andreassen; Nicola Logallo
Journal:  BMC Neurol       Date:  2019-01-29       Impact factor: 2.474

5.  Hospital use in survivors of transient ischaemic attack compared with survivors of stroke in central China: a nested case-control study.

Authors:  Sangsang Li; Qingfeng Tian; Junxing Fan; Zhan Shi; Bingxin Guo; Huanan Chen; Yapeng Li; Songhe Shi
Journal:  BMJ Open       Date:  2019-07-09       Impact factor: 2.692

6.  Regional differences in the care and outcomes of acute stroke patients in Australia: an observational study using evidence from the Australian Stroke Clinical Registry (AuSCR).

Authors:  Mitchell Dwyer; Karen Francis; Gregory M Peterson; Karen Ford; Seana Gall; Hoang Phan; Helen Castley; Lillian Wong; Richard White; Fiona Ryan; Lauren Arthurson; Joosup Kim; Dominique A Cadilhac; Natasha A Lannin
Journal:  BMJ Open       Date:  2021-04-01       Impact factor: 2.692

7.  The Association between the Mental Health Nurse-to-Registered Nurse Ratio and Patient Outcomes in Psychiatric Inpatient Wards: A Systematic Review.

Authors:  Nompilo Moyo; Martin Jones; Diana Kushemererwa; Sandesh Pantha; Sue Gilbert; Lorena Romero; Richard Gray
Journal:  Int J Environ Res Public Health       Date:  2020-09-21       Impact factor: 3.390

  7 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.