Medicine and Health Sciences Commons^™

Utilising A Systematic Review-Based Approach To Create A Database Of Individual Participant Data For Meta- And Network Meta-Analyses: The Release Database Of Aphasia After Stroke, Louise R. Williams, Myzoon Ali, Kathryn Vandenberg, Linda J. Williams, Masahiro Abo, Frank Becker, Audrey Bowen, Caitlin Brandenburg, Caterina Breitenstein, Stefanie Bruehl, David A. Copland, Tamara B. Cranfill, Marie Di Pietro-Bachmann, Pamela Enderby, Joanne Fillingham, Federica Lucia Galli, Marialuisa Gandolfi, Bertrand Glize, Erin Godecke, Neil Hawkins, Katerina Hilari, Jacqueline Hinckley, Simon Horton, David Howard, Petra Jaecks, Elizabeth Jefferies, Luis M T Jesus, Maria Kambanaros, Eun K. Kang, Eman M. Khedr, Anthony P H Kong, Tarja Kukkonen, Marina Laganaro, Matthew A. Lambon Ralph, Ann C. Laska, Béatrice Leemann, Alexander P. Leff, Roxele R. Lima, Antje Lorenz, Brian Macwhinney, Rebecca S. Marshall, Flavia Mattioli, İlknur Maviş, Marcus Meinzer, Reza Nilipour, Enrique Noé, Nam-Jong Paik, Rebecca Palmer, Ilias Papathanasiou, Brigida F. Patricio, Isabel P. Martins, Cathy Price, Tatjana P. Jakovac, Elizabeth Rochon, Miranda L. Rose, Charlotte Rosso, Ilona Rubi-Fessen, Marina B. Ruiter, Claerwen Snell, Benjamin Stahl, Jerzy P. Szaflarski, Shirley A. Thomas, Mieke Van De Sandt-Koenderman, Ineke Van Der Meulen, Evy Visch-Brink, Linda Worrall, Heather H. Wright, Marian C. Brady, The Release Collaborators

Research outputs 2014 to 2021

Background: Collation of aphasia research data across settings, countries and study designs using big data principles will support analyses across different language modalities, levels of impairment, and therapy interventions in this heterogeneous population. Big data approaches in aphasia research may support vital analyses, which are unachievable within individual trial datasets. However, we lack insight into the requirements for a systematically created database, the feasibility and challenges and potential utility of the type of data collated. Aim: To report the development, preparation and establishment of an internationally agreed aphasia after stroke research database of individual participant data (IPD) to facilitate planned …

Development And Diagnostic Validation Of The Brisbane Evidence-Based Language Test, Alexia Rohde, Suhail A. Doi, Linda Worrall, Erin Godecke, Anna Farrell, Robyn O'Halloran, Molly Mccracken, Nadin Lawson, Rebecca Cremer, Andrew Wong

Research outputs 2014 to 2021

Purpose:

To describe the development and determine the diagnostic accuracy of the Brisbane Evidence-Based Language Test in detecting aphasia. Methods: Consecutive acute stroke admissions (n = 100; mean = 66.49y) participated in a single (assessor) blinded cross-sectional study. Index assessment was the ∼ 45 min Brisbane Evidence-Based Language Test. The Brisbane Evidence-Based Language Test is further divided into four 15–25 min Short Tests: two Foundation Tests (severe impairment), Standard (moderate) and High Level Test (mild). Independent reference standard included the Language Screening Test, Aphasia Screening Test, Comprehensive Aphasia Test and/or Measure for Cognitive-Linguistic Abilities, treating team diagnosis and aphasia referral …

Identifying Key Elements To Assess Patient’S Acceptability Of Neurorehabilitation In Stroke Survivors–A Delphi Method, Manonita Ghosh, Kaoru Nosaka, Lisa Whitehead, Kazunori Nosaka

Research outputs 2014 to 2021

Purpose:

Assessing patient acceptability of treatment is a clinical concern. No guidance exists to determine the best way to measure acceptability in stroke neurorehabilitation. This study identifies key elements to measure patient’s acceptance of stroke neurorehabilitation by establishing expert consensus.

Materials and methods:

A four-phase Delphi method with a three-round electronic-based survey was conducted. Experts were considered as stroke survivors or their caregivers and professionals in stroke neurorehabilitation. A twenty-five-item list was sourced from a literature review and discussion with a consumer panel (n = 22). In Round-1 (n = 118) and Round-2 (n = 80), experts …

Patients’ Experiences Of A Communication Enhanced Environment Model On An Acute/Slow Stream Rehabilitation And A Rehabilitation Ward Following Stroke: A Qualitative Description Approach, Sarah D'Souza, Deborah J. Hersh, Erin Godecke, Natalie Ciccone, Heidi Janssen, Elizabeth Armstrong

Research outputs 2014 to 2021

Background

Patients in hospital following stroke express a desire to continue therapy tasks outside of treatment activities. However, they commonly describe experiences of boredom and inactivity. An enriched environment aims to provide opportunities for physical, cognitive and social activity and informed the development of a Communication Enhanced Environment (CEE) model to promote patient engagement in language activities.

Purpose

Explore patient perceptions of a CEE model, and barriers and facilitators to engagement in the model.

Methods

A qualitative description study from a larger project that implemented a CEE model into acute and rehabilitation private hospital wards in Western Australia. Semi-structured interviews …

Inter-Rater Reliability, Intra-Rater Reliability And Internal Consistency Of The Brisbane Evidence-Based Language Test, Alexia Rohde, Molly Mccracken, Linda Worrall, Anna Farrell, Robyn O'Halloran, Erin Godecke, Michael David, Suhail A. Doi

Research outputs 2014 to 2021

Purpose: To examine the inter-rater reliability, intra-rater reliability, internal consistency and practice effects associated with a new test, the Brisbane Evidence-Based Language Test. Methods: Reliability estimates were obtained in a repeated-measures design through analysis of clinician video ratings of stroke participants completing the Brisbane Evidence-Based Language Test. Inter-rater reliability was determined by comparing 15 independent clinicians’ scores of 15 randomly selected videos. Intra-rater reliability was determined by comparing two clinicians’ scores of 35 videos when re-scored after a two-week interval. Results: Intraclass correlation coefficient (ICC) analysis demonstrated almost perfect inter-rater reliability (0.995; 95% confidence interval: 0.990–0.998), intra-rater reliability (0.994; 95% …