Research Data Leeds Repository

Citation

Comer, Christine, Ammendolia, Carlo, Battié, Michele C., Bussières, André, Fairbank, Jeremy, Haig, Andrew, Melloh, Markus, Redmond, Anthony, Schneider, Michael J., Standaert, Christopher J., Tomkins-Lane, Christy, Williamson, Esther and Wong, Arnold Y. L. (2022) Lumbar Spinal Stenosis treatment algorithm consensus - an international Delphi study. University of Leeds. [Dataset] https://doi.org/10.5518/1106

Dataset description

Datasets from three survey rounds associated with study to develop a consensus treatment algorithm for people with Lumbar Spinal Stenosis.

Additional information:	This dataset is held in the Restricted Access Data Repository, RADAR. To request access, please click the link under ‘Related resources’. You will be prompted to complete a request form including your intended use of the dataset. You will then receive an initial response to your request within 10 working days.
Keywords:	Lumbar spinal stenosis; consensus; Delphi technique; survey; experts; algorithm; clinical practice guideline
Subjects:	A000 - Medicine & dentistry
Divisions:	Faculty of Medicine and Health > School of Medicine
Related resources:	Location Type https://radar.researchdata.leeds.ac.uk/27/ Dataset https://doi.org/10.1186/s12891-022-05485-5 Publication https://eprints.whiterose.ac.uk/188979/ Publication
Date deposited:	04 Mar 2022 17:30
URI:	https://archive.researchdata.leeds.ac.uk/id/eprint/934
Additional details Additional details Alternative title: LSS treatment consensus Creators or authors: Creators ORCID Other ID Email Primary affiliation Primary affiliation ID Primary affiliation ID type Secondary affiliation Secondary affiliation ID Secondary affiliation ID type Comer, Christine https://orcid.org/0000-0001-9847-9408 University of Leeds https://ror.org/024mrxd33 ror Ammendolia, Carlo https://orcid.org/0000-0003-4417-4961 Mount Sinai Hospital, Toronto https://ror.org/05deks119 ror Battié, Michele C. https://orcid.org/0000-0001-8499-2040 Western University https://ror.org/02grkyz14 ror Bussières, André https://orcid.org/0000-0002-2818-6949 McGill University https://ror.org/01pxwe438 ror Fairbank, Jeremy https://orcid.org/0000-0002-0050-874X University of Oxford https://ror.org/052gg0110 ror Haig, Andrew https://orcid.org/0000-0003-0246-6835 University of Michigan https://ror.org/00jmfr291 ror Melloh, Markus https://orcid.org/0000-0002-8819-799X Victoria University of Wellington https://ror.org/0040r6f76 ror Redmond, Anthony https://orcid.org/0000-0002-8709-9992 University of Leeds https://ror.org/024mrxd33 ror Schneider, Michael J. https://orcid.org/0000-0001-7190-3379 University of Pittsburgh https://ror.org/01an3r305 ror Standaert, Christopher J. https://orcid.org/0000-0001-6808-355X University of Pittsburgh https://ror.org/01an3r305 ror Tomkins-Lane, Christy https://orcid.org/0000-0002-0416-8965 Mount Royal University https://ror.org/04evsam41 ror Williamson, Esther https://orcid.org/0000-0003-0638-0406 University of Exeter https://ror.org/03yghzc09 ror Wong, Arnold Y. L. https://orcid.org/0000-0002-5911-5756 Hong Kong Polytechnic University https://ror.org/0030zas98 ror Type of data: Dataset Research funders: NIHR Grant numbers: ICA-CL-2017-03-015 Publication date: 2022 Resource language: English Metadata language: English Publisher: University of Leeds Contact email: c.comer@leeds.ac.uk Last Modified: 26 Nov 2024 09:20