7
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Statistical analysis plan for a cluster randomised controlled trial to compare screening, feedback and intervention for child anxiety problems to usual school practice: identifying Child Anxiety Through Schools-identification to intervention (iCATS-i2i)

      research-article

      Read this article at

      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          Background

          The Identifying Child Anxiety Through Schools-identification to intervention (iCATS-i2i) trial is being conducted to establish whether ‘screening and intervention’, consisting of usual school practice plus a pathway comprising screening, feedback and a brief parent-led online intervention (OSI: Online Support and Intervention for child anxiety), bring clinical and health economic benefits compared to usual school practice and assessment only — ‘usual school practice’, for children aged 8–9 years in the following: (1) the ‘target population’, who initially screen positive for anxiety problems according to a two-item parent-report child anxiety questionnaire — iCATS-2, and (2) the ‘total population’, comprising all children in participating classes. This article describes the detailed statistical analysis plan for the trial.

          Methods and design

          iCATS-i2i is a definitive, superiority, pragmatic, school-based cluster randomised controlled trial (with internal pilot), with two parallel groups. Schools are randomised 1:1 to receive either screening and intervention or usual school practice. This article describes the following: trial objectives and outcomes; statistical analysis principles, including detailed estimand information necessary for aligning trial objectives, conduct, analyses and interpretation when there are different analysis populations and outcome measures to be considered; and planned main analyses, sensitivity and additional analyses.

          Trial registration

          ClinicalTrials.gov ISRCTN76119074. Registered on 4 January 2022

          Supplementary Information

          The online version contains supplementary material available at 10.1186/s13063-023-07898-6.

          Related collections

          Most cited references29

          • Record: found
          • Abstract: found
          • Article: not found

          Development and preliminary testing of the new five-level version of EQ-5D (EQ-5D-5L)

          Purpose This article introduces the new 5-level EQ-5D (EQ-5D-5L) health status measure. Methods EQ-5D currently measures health using three levels of severity in five dimensions. A EuroQol Group task force was established to find ways of improving the instrument’s sensitivity and reducing ceiling effects by increasing the number of severity levels. The study was performed in the United Kingdom and Spain. Severity labels for 5 levels in each dimension were identified using response scaling. Focus groups were used to investigate the face and content validity of the new versions, including hypothetical health states generated from those versions. Results Selecting labels at approximately the 25th, 50th, and 75th centiles produced two alternative 5-level versions. Focus group work showed a slight preference for the wording ‘slight-moderate-severe’ problems, with anchors of ‘no problems’ and ‘unable to do’ in the EQ-5D functional dimensions. Similar wording was used in the Pain/Discomfort and Anxiety/Depression dimensions. Hypothetical health states were well understood though participants stressed the need for the internal coherence of health states. Conclusions A 5-level version of the EQ-5D has been developed by the EuroQol Group. Further testing is required to determine whether the new version improves sensitivity and reduces ceiling effects.
            Bookmark
            • Record: found
            • Abstract: not found
            • Article: not found

            Longitudinal data analysis using generalized linear models

              Bookmark
              • Record: found
              • Abstract: not found
              • Article: not found

              Consort 2010 statement: extension to cluster randomised trials

                Bookmark

                Author and article information

                Contributors
                s.ball3@exeter.ac.uk
                Journal
                Trials
                Trials
                Trials
                BioMed Central (London )
                1745-6215
                17 January 2024
                17 January 2024
                2024
                : 25
                : 62
                Affiliations
                [1 ]National Institute for Health and Care Research (NIHR) Applied Research Collaboration (ARC) South West Peninsula (PenARC), Department of Health and Community Sciences, Faculty of Health and Life Sciences, University of Exeter, ( https://ror.org/03yghzc09) Exeter, UK
                [2 ]Departments of Experimental Psychology and Psychiatry, University of Oxford, ( https://ror.org/052gg0110) Oxford, UK
                [3 ]Oxford NHS Foundation Trust, Oxford, UK
                [4 ]Bransgore C of E Primary School, Christchurch, UK
                [5 ]University of Cambridge and Cambridge and Peterborough Foundation Trust, ( https://ror.org/013meh722) Cambridge, UK
                [6 ]Nuffield Department of Population Health, Health Economics Research Centre, University of Oxford, ( https://ror.org/052gg0110) Oxford, UK
                [7 ]School of Psychology & Clinical Language Sciences, University of Reading, ( https://ror.org/05v62cm79) Reading, UK
                [8 ]Parents and Carers Together, Suffolk, UK
                [9 ]Life and Health Sciences, Aston University, ( https://ror.org/05j0ve876) Birmingham, UK
                [10 ]Charlie Waller Trust, Thatcham, UK
                [11 ]Square Peg, East Sussex, Eastbourne, UK
                [12 ]UK Health Security Agency, HCAI, Fungal, AMR, AMU and Sepsis Division, ( https://ror.org/018h10037) London, UK
                [13 ]West Berkshire Council, Newbury, UK
                [14 ]NIHR Policy Research Unit Behavioural Science, Newcastle University, ( https://ror.org/01kj2bm70) Newcastle upon Tyne, UK
                [15 ]Division of Public Health, Social and Preventive Medicine, Center for Preventive Medicine and Digital Health (CPD), Universitätsmedizin Mannheim, Heidelberg University, ( https://ror.org/038t36y30) Heidelberg, Germany
                [16 ]GRID grid.1022.1, ISNI 0000 0004 0437 5432, School of Applied Psychology and Australian Institute of Suicide Research and Prevention, , Griffith University, ; Brisbane, Australia
                [17 ]Stanley Primary School, Strathmore Road, London, UK
                [18 ]Department of Health, University of Bath, ( https://ror.org/002h8g185) Bath, UK
                Author information
                http://orcid.org/0000-0002-9937-4832
                Article
                7898
                10.1186/s13063-023-07898-6
                10795300
                38233861
                5762b143-a055-4947-a3b8-221de3295fef
                © The Author(s) 2024

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

                History
                : 26 September 2023
                : 19 December 2023
                Funding
                Funded by: FundRef http://dx.doi.org/10.13039/501100007602, Programme Grants for Applied Research;
                Award ID: RP-PG-0218-20010
                Award Recipient :
                Categories
                Update
                Custom metadata
                © BioMed Central Ltd., part of Springer Nature 2024

                Medicine
                statistical analysis plan,screening,school based,anxiety problems,cluster randomised controlled trial,estimand

                Comments

                Comment on this article