“Currently flying blind” Stakeholders’ perceptions of implementing statewide population-based cancer staging at diagnosis into the Western Australian Cancer Registry: a rapid qualitative process evaluation of the WA Cancer Staging Project DOI Creative Commons
Stephanie Smith, Richard Trevithick, James Smith

et al.

BMC Health Services Research, Journal Year: 2023, Volume and Issue: 23(1)

Published: July 15, 2023

Cancer stage at diagnosis is essential for understanding cancer outcomes, guiding control activities and healthcare services, enabling benchmarking nationally internationally. Yet, most registries in Australia do not routinely collect this data. This study explored key stakeholders' perceptions of implementing staging utilising Natural Language Processing Machine Learning algorithms within the Western Australian Registry.Perceptions breast colorectal stakeholders, including registry staff, clinicians, consumers, data scientists, biostatisticians, management, health researchers, were collected. Prospective retrospective qualitative proformas two-time points Staging Project employed. The Consolidated Framework Implementation Research was used to guide collection, analysis interpretation embedded a Participatory Action approach. Data also incorporated Analysis an adapted version grading using visual traffic light labelling system highlight levels positivity, negativity, implementation concern.Twenty-nine pre-proformas 18 post-proformas completed online via REDCap. presentation barriers enablers aided reviewing predicted intervention outcomes. Of selected constructs, complexity (the perceived difficulty intervention) strongest barrier tension change situation needing change) enabler. Implementing into Registry considered vital. Benefits included improved knowledge various outcomes (e.g., treatment received as per Optimum Care Pathways) benchmarking. Barriers compatibility issues with current systems/workflows, departmental/higher managerial support, future sustainment.The findings aid further review gaps, additional streams, standardising improvements. offers rapid collection analytic approach establishing enablers. may assist other population-based considering collecting diagnosis.

Language: Английский

Point of View on Outcome Prediction Models in Post-Stroke Motor Recovery DOI Creative Commons
Onno van der Groen, Manonita Ghosh, Richard Norman

et al.

Neurorehabilitation and neural repair, Journal Year: 2024, Volume and Issue: 38(5), P. 386 - 398

Published: March 18, 2024

Stroke is a leading cause of disability worldwide which can significant and persistent upper limb (UL) impairment. It difficult to predict UL motor recovery after stroke forecast the expected outcomes rehabilitation interventions during acute subacute phases when using clinical data alone. Accurate prediction response treatment could allow for more timely targeted interventions, thereby improving recovery, resource allocation, reducing economic impact post-stroke disability. Initial impairment currently strongest predictor recovery. Despite progress, current models be refined with additional predictors, an emphasis on time dependency patient-specific predictions profiles. In paper panel experts provide their opinion predictors aspects literature that help advance outcome models. Potential strategies include close attention collection timeframes adoption individual-computerized modeling methods connected patient’s health record. These should account non-linear variable pattern spontaneous neurological Additionally, input extended cognitive, genomic, sensory, neural injury, function measures as The accuracy may further improved by including standardized outcome. Finally, we consider potential healthcare costs.

Language: Английский

Citations

6

Smart speakers are an acceptable and feasible speech practice tool for children with speech difficulties DOI Creative Commons

Lauren Makin,

Elizabeth Smith, Craig Hedge

et al.

Disability and Rehabilitation Assistive Technology, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 12

Published: April 17, 2025

A record number of children are experiencing speech difficulties. This study explored whether mainstream smart speakers can support practice, and assesses a proposed five-factor model for how these improvements occur, based on: spaced learning, immediate feedback, autonomous motivation, reduced social barriers, increased interactions. We conducted mixed-methods feasibility with 11 families Data included pre- post-trial recordings (rated by 24 naïve raters), activity logs, surveys parents children, parent interviews. assessed device use, changes in clarity, alignment the 5-factor model, barriers. Children used on average once daily approximately 6 commands. Speech clarity ratings improved post-exposure correlated use. Parents noted spoke more slowly loudly to device. Both child reports reflected showing engagement, willingness repeat Naturalistic use is an acceptable feasible tool practice viewed as useful complement formal therapy, though frustration when not understood remains factor implementation.

Language: Английский

Citations

0

“Currently flying blind” Stakeholders’ perceptions of implementing statewide population-based cancer staging at diagnosis into the Western Australian Cancer Registry: a rapid qualitative process evaluation of the WA Cancer Staging Project DOI Creative Commons
Stephanie Smith, Richard Trevithick, James Smith

et al.

BMC Health Services Research, Journal Year: 2023, Volume and Issue: 23(1)

Published: July 15, 2023

Cancer stage at diagnosis is essential for understanding cancer outcomes, guiding control activities and healthcare services, enabling benchmarking nationally internationally. Yet, most registries in Australia do not routinely collect this data. This study explored key stakeholders' perceptions of implementing staging utilising Natural Language Processing Machine Learning algorithms within the Western Australian Registry.Perceptions breast colorectal stakeholders, including registry staff, clinicians, consumers, data scientists, biostatisticians, management, health researchers, were collected. Prospective retrospective qualitative proformas two-time points Staging Project employed. The Consolidated Framework Implementation Research was used to guide collection, analysis interpretation embedded a Participatory Action approach. Data also incorporated Analysis an adapted version grading using visual traffic light labelling system highlight levels positivity, negativity, implementation concern.Twenty-nine pre-proformas 18 post-proformas completed online via REDCap. presentation barriers enablers aided reviewing predicted intervention outcomes. Of selected constructs, complexity (the perceived difficulty intervention) strongest barrier tension change situation needing change) enabler. Implementing into Registry considered vital. Benefits included improved knowledge various outcomes (e.g., treatment received as per Optimum Care Pathways) benchmarking. Barriers compatibility issues with current systems/workflows, departmental/higher managerial support, future sustainment.The findings aid further review gaps, additional streams, standardising improvements. offers rapid collection analytic approach establishing enablers. may assist other population-based considering collecting diagnosis.

Language: Английский

Citations

1