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      SCALE-UP II: protocol for a pragmatic randomised trial examining population health management interventions to increase the uptake of at-home COVID-19 testing in community health centres

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          Abstract

          Introduction

          SCALE-UP II aims to investigate the effectiveness of population health management interventions using text messaging (TM), chatbots and patient navigation (PN) in increasing the uptake of at-home COVID-19 testing among patients in historically marginalised communities, specifically, those receiving care at community health centres (CHCs).

          Methods and analysis

          The trial is a multisite, randomised pragmatic clinical trial. Eligible patients are >18 years old with a primary care visit in the last 3 years at one of the participating CHCs. Demographic data will be obtained from CHC electronic health records. Patients will be randomised to one of two factorial designs based on smartphone ownership. Patients who self-report replying to a text message that they have a smartphone will be randomised in a 2×2×2 factorial fashion to receive (1) chatbot or TM; (2) PN (yes or no); and (3) repeated offers to interact with the interventions every 10 or 30 days. Participants who do not self-report as having a smartphone will be randomised in a 2×2 factorial fashion to receive (1) TM with or without PN; and (2) repeated offers every 10 or 30 days. The interventions will be sent in English or Spanish, with an option to request at-home COVID-19 test kits. The primary outcome is the proportion of participants using at-home COVID-19 tests during a 90-day follow-up. The study will evaluate the main effects and interactions among interventions, implementation outcomes and predictors and moderators of study outcomes. Statistical analyses will include logistic regression, stratified subgroup analyses and adjustment for stratification factors.

          Ethics and dissemination

          The protocol was approved by the University of Utah Institutional Review Board. On completion, study data will be made available in compliance with National Institutes of Health data sharing policies. Results will be disseminated through study partners and peer-reviewed publications.

          Trial registration number

          ClinicalTrials.gov: NCT05533918 and NCT05533359.

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          Most cited references59

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          SPIRIT 2013 statement: defining standard protocol items for clinical trials.

          The protocol of a clinical trial serves as the foundation for study planning, conduct, reporting, and appraisal. However, trial protocols and existing protocol guidelines vary greatly in content and quality. This article describes the systematic development and scope of SPIRIT (Standard Protocol Items: Recommendations for Interventional Trials) 2013, a guideline for the minimum content of a clinical trial protocol.The 33-item SPIRIT checklist applies to protocols for all clinical trials and focuses on content rather than format. The checklist recommends a full description of what is planned; it does not prescribe how to design or conduct a trial. By providing guidance for key content, the SPIRIT recommendations aim to facilitate the drafting of high-quality protocols. Adherence to SPIRIT would also enhance the transparency and completeness of trial protocols for the benefit of investigators, trial participants, patients, sponsors, funders, research ethics committees or institutional review boards, peer reviewers, journals, trial registries, policymakers, regulators, and other key stakeholders.
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            Multiple Imputation for Nonresponse in Surveys

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              COVID-19 and Racial/Ethnic Disparities

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                Author and article information

                Journal
                BMJ Open
                BMJ Open
                bmjopen
                bmjopen
                BMJ Open
                BMJ Publishing Group (BMA House, Tavistock Square, London, WC1H 9JR )
                2044-6055
                2024
                20 March 2024
                : 14
                : 3
                : e081455
                Affiliations
                [1 ] departmentDepartment of Biomedical Informatics , University of Utah , Salt Lake City, Utah, USA
                [2 ] departmentCenter for Health Outcomes and Population Equity , Ringgold_20270University of Utah Health Huntsman Cancer Institute , Salt Lake City, Utah, USA
                [3 ] departmentDepartment of Population Health Sciences , University of Utah , Salt Lake City, Utah, USA
                [4 ] departmentDepartment of Communication , University of Utah , Salt Lake City, Utah, USA
                [5 ] Ringgold_49291Association for Utah Community Health , Salt Lake City, Utah, USA
                Author notes
                [Correspondence to ] Dr Guilherme Del Fiol; guilherme.delfiol@ 123456utah.edu
                Author information
                http://orcid.org/0000-0001-9954-6799
                http://orcid.org/0000-0002-8355-6316
                Article
                bmjopen-2023-081455
                10.1136/bmjopen-2023-081455
                10961568
                38508633
                88e74532-dabd-4d6f-a985-236da07bf3ba
                © Author(s) (or their employer(s)) 2024. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.

                This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See:  http://creativecommons.org/licenses/by-nc/4.0/.

                History
                : 31 October 2023
                : 23 February 2024
                Funding
                Funded by: National Institutes of Health (NIH);
                Award ID: 5U01MD017421
                Categories
                Health Informatics
                1506
                2474
                1702
                Protocol
                Custom metadata
                unlocked

                Medicine
                covid-19,health equity,health informatics,information technology,public health
                Medicine
                covid-19, health equity, health informatics, information technology, public health

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