Literature DB >> 20536618

Protocol and pilot data for establishing the Australian Stroke Clinical Registry.

Dominique A Cadilhac1, Natasha A Lannin, Craig S Anderson, Christopher R Levi, Steven Faux, Chris Price, Sandy Middleton, Joyce Lim, Amanda G Thrift, Geoffrey A Donnan.   

Abstract

BACKGROUND: Disease registries assist with clinical practice improvement. The Australian Stroke Clinical Registry aims to provide national, prospective, systematic data on processes and outcomes for stroke. We describe the methods of establishment and initial experience of operation.
METHODS: Australian Stroke Clinical Registry conforms to new national operating principles and technical standards for clinical quality registers. Features include: online data capture from acute public and private hospital sites; opt-out consent; expert consensus agreed core minimum dataset with standard definitions; outcomes assessed at 3 months poststroke; formal governance oversight; and formative evaluations for improvements.
RESULTS: Qualitative feedback from sites indicates that the web-tool is simple to use and the user manuals, data dictionary, and training are appropriate. However, sites desire automated data-entry methods for routine demography variables and the opt-out consent protocol has sometimes been problematic. Data from 204 patients (median age 71 years, 54% males, 60% Australian) were collected from four pilot hospitals from June to October 2009 (mean, 50 cases per month) including ischaemic stroke (in 72%), intracerebral haemorrhage (16%), transient ischaemic attack (9%), and undetermined (3%), with only one case opting out.
CONCLUSION: Australian Stroke Clinical Registry has been well established, but further refinements and broad roll-out are required before realising its potential of improving patient care through clinician feedback and allowance of local, national, and international comparative data.

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Year:  2010        PMID: 20536618     DOI: 10.1111/j.1747-4949.2010.00430.x

Source DB:  PubMed          Journal:  Int J Stroke        ISSN: 1747-4930            Impact factor:   5.266


  26 in total

1.  Better outcomes for hospitalized patients with TIA when in stroke units: An observational study.

Authors:  Dominique A Cadilhac; Joosup Kim; Natasha A Lannin; Christopher R Levi; Helen M Dewey; Kelvin Hill; Steven Faux; Nadine E Andrew; Monique F Kilkenny; Rohan Grimley; Amanda G Thrift; Brenda Grabsch; Sandy Middleton; Craig S Anderson; Geoffrey A Donnan
Journal:  Neurology       Date:  2016-05-04       Impact factor: 9.910

Review 2.  In response to Mobile Stroke Units - Cost-Effective or Just an Expensive Hype?

Authors:  D A Cadilhac; S S Rajan; J Kim
Journal:  Curr Atheroscler Rep       Date:  2019-01-25       Impact factor: 5.113

3.  Determining the sensitivity of emergency dispatcher and paramedic diagnosis of stroke: statewide registry linkage study.

Authors:  Amminadab L Eliakundu; Dominique A Cadilhac; Joosup Kim; Monique F Kilkenny; Kathleen L Bagot; Emily Andrew; Shelley Cox; Christopher F Bladin; Michael Stephenson; Lauren Pesavento; Lauren Sanders; Ben Clissold; Henry Ma; Karen Smith
Journal:  J Am Coll Emerg Physicians Open       Date:  2022-07-01

4.  Feedback of aggregate patient-reported outcomes (PROs) data to clinicians and hospital end users: findings from an Australian codesign workshop process.

Authors:  Olivia Francis Ryan; Shaun L Hancock; Violet Marion; Paulette Kelly; Monique F Kilkenny; Benjamin Clissold; Penina Gunzburg; Shae Cooke; Lauren Guy; Lauren Sanders; Sibilah Breen; Dominique A Cadilhac
Journal:  BMJ Open       Date:  2022-07-01       Impact factor: 3.006

5.  Factors influencing self-reported anxiety or depression following stroke or TIA using linked registry and hospital data.

Authors:  Tharshanah Thayabaranathan; Nadine E Andrew; Monique F Kilkenny; Rene Stolwyk; Amanda G Thrift; Rohan Grimley; Trisha Johnston; Vijaya Sundararajan; Natasha A Lannin; Dominique A Cadilhac
Journal:  Qual Life Res       Date:  2018-08-04       Impact factor: 4.147

6.  Is health-related quality of life between 90 and 180 days following stroke associated with long-term unmet needs?

Authors:  N E Andrew; M F Kilkenny; N A Lannin; D A Cadilhac
Journal:  Qual Life Res       Date:  2016-02-04       Impact factor: 4.147

7.  The University of Texas Houston Stroke Registry (UTHSR): implementation of enhanced data quality assurance procedures improves data quality.

Authors:  Mohammad H Rahbar; Nicole R Gonzales; Manouchehr Ardjomand-Hessabi; Amirali Tahanan; Melvin R Sline; Hui Peng; Renganayaki Pandurengan; Farhaan S Vahidy; Jessica D Tanksley; Ayodeji A Delano; Rene M Malazarte; Ellie E Choi; Sean I Savitz; James C Grotta
Journal:  BMC Neurol       Date:  2013-06-15       Impact factor: 2.474

8.  Registration of acute stroke: validity in the Danish Stroke Registry and the Danish National Registry of Patients.

Authors:  Cathrine Wildenschild; Frank Mehnert; Reimar Wernich Thomsen; Helle Klingenberg Iversen; Karsten Vestergaard; Annette Ingeman; Søren Paaske Johnsen
Journal:  Clin Epidemiol       Date:  2013-12-23       Impact factor: 4.790

9.  Protocol for evaluation of enhanced models of primary care in the management of stroke and other chronic disease (PRECISE): A data linkage healthcare evaluation study.

Authors:  N E Andrew; J Kim; D A Cadilhac; V Sundararajan; A G Thrift; L Churilov; N A Lannin; M Nelson; V Srikanth; M F Kilkenny
Journal:  Int J Popul Data Sci       Date:  2019-08-05

10.  Mapping health outcome measures from a stroke registry to EQ-5D weights.

Authors:  Ola Ghatnekar; Marie Eriksson; Eva-Lotta Glader
Journal:  Health Qual Life Outcomes       Date:  2013-03-07       Impact factor: 3.186

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