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Updated: Jun 16, 2025

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Gathering Self-Initiated Rat Behavioral Data to Characterize Post-Stroke Deficits
Published on: March 15, 2024
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Exploring Perspectives on Stroke Standard Set Data Collection: A Qualitative Descriptive Study
Summary
Collecting standard stroke data (SSS) helps monitor patient recovery. Consistent data collection requires dedicated resources and staffing to overcome barriers like employee turnover and time constraints.
Area of Science:
- Neurology
- Health Services Research
- Patient Outcomes
Background:
- The International Consortium on Health Outcome Measurement developed a Standard Set for Stroke (SSS).
- The SSS includes patient-reported outcome measures (PROMs) to capture post-stroke recovery perspectives.
- Understanding the experiences of data collectors is crucial for SSS implementation.
Purpose of the Study:
- To explore the experiences and perspectives of healthcare professionals collecting SSS data.
- To identify facilitators and barriers to SSS data collection in acute stroke care.
Main Methods:
- Qualitative descriptive study design.
- Semistructured interviews with 6 healthcare professionals across various roles.
- Thematic analysis of verbatim interview transcripts, focusing on adoption, acceptance, appropriateness, feasibility, and sustainability.
Main Results:
- Patients were receptive to completing the SSS.
- Follow-up phone calls facilitated post-discharge recovery monitoring.
- Barriers included employee turnover, and lack of time, space, or capacity for follow-up.
- Dedicated, funded neurological nursing roles were suggested for sustainability.
Conclusions:
- Healthcare professionals support SSS data collection for stroke patient monitoring and follow-up.
- Effective SSS data collection and utility are contingent on adequate resourcing.
- Addressing barriers is essential for successful and sustainable implementation of SSS.

