READ ME File For 'Dataset to support the Southampton Doctoral Thesis entitled : Employing Content Analysis & Crowd-sourcing to Revise Randomised Controlled Trials Patient Information Leaflets'

Dataset DOI: 10.5258/SOTON/D2248

ReadMe Author: Fernando Santos, University of Southampton 0000-0002-3297-2029

This dataset supports the thesis entitled Employing Content Analysis & Crowd-sourcing to Revise Randomised Controlled Trials Patient Information Leaflets
AWARDED BY: Univeristy of Southampton
DATE OF AWARD: [2022]

DESCRIPTION OF THE DATA
This dataset includes information to analyse associations between PIL readability, trial settings, and recruitment. It also includes data on employing crowdsourcing to revise and valiadate revisions to sentences that are too hard to understand.

This dataset contains:
Study I PIL readability-Trial settigns.csv
Study II All comments.csv
Study II Cloze answers PIL1.csv
Study II Cloze answers PIL2.csv
Study II Cloze answers PIL3.csv
Study II Cloze answers PIL4.csv
Study II Participants demographics.csv
Study II Participants questionnaire.csv
Study II Participants questionnaireFull.csv
Study II 330 Revisors.csv
Study III 360 Revisions.csv
Study III 665 Cloze submissions.csv
Study IV 736 Revisions.csv
Study V Revisers.csv
Study V Revision submissions.csv
Study VI PIL2-3-4 Revision rankings.csv
README.txt




Date of data collection: 2016-2019

Information about geographic location of data collection: UK

Related projects/Funders:
Raftery J, Young A, Stanton L, Milne R, Cook A, Turner D, et al. Clinical trial metadata: Defining and extracting metadata on the design, conduct, results and costs of 125 randomised clinical trials funded by the NIHR Health Technology Assessment Programme. Health Technol Assess 2015;19(11)


Date that the file was created: May,2022