Dataset supporting: How can a paediatric neurorehabilitation service best meet the needs of parents and carers?

The dataset includes a copy of the questionnaire developed for this study and the responses of participants, presented in a Microsoft Excel spreadsheet. Both qualitative and quantitative responses to open and closed questions were collected to address the question of how a paediatric neurorehabilitation service could best meet the needs of parents and carers.

Keywords:
Service evaluation, Mixed methods, Questionnaire data, Paediatric neurorehabilitation

Cite this dataset as:
Zarandi, A., Davis, C., Eve, M., 2026. Dataset supporting: How can a paediatric neurorehabilitation service best meet the needs of parents and carers? Bath: University of Bath Research Data Archive. Available from: https://doi.org/10.15125/BATH-01327.

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Access on request: Access can be granted on request to bona fide researchers only for health care-related research.

Creators

Amy Zarandi
University of Bath

Cara Davis
University of Bath

Megan Eve
University Hospitals Bristol and Weston NHS Foundation Trust

Contributors

University of Bath
Rights Holder

Documentation

Data collection method:

A questionnaire was created by the researcher which was presented via Qualtrics, an online survey platform. Participants completed the questionnaire through Qualtrics, which recorded the responses. Responses were exported from Qualtrics into a Microsoft Excel spreadsheet, ready for analysis.

Templates

Qualtrics survey.pdf
application/pdf (196kB)
Creative Commons: Attribution 4.0

A copy of the questionnaire developed for this study.

Funders

Publication details

Publication date: 24 April 2026
by: University of Bath

Version: 1

DOI: https://doi.org/10.15125/BATH-01327

URL for this record: https://researchdata.bath.ac.uk/1327

Contact information

Please contact the Research Data Service in the first instance for all matters concerning this item.

Contact person: Cara Davis

Departments:

Faculty of Humanities & Social Sciences
Psychology