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      Cluster-randomised controlled trial of Stroke 1-2-0 education programme to reduce stroke prehospital delay in China: a study protocol

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          Abstract

          Introduction

          Stroke is the leading cause of death and disability in China. The median time of stroke pre-hospital delay is more than 15 hours, mainly due to the lack of awareness on stroke symptoms and calling emergency services. We developed Stroke 1-2-0 recognition tool in China, by adapting Face, Arm, Speech and Time. Our preliminary findings suggested that Stroke 1-2-0 can improve public’s knowledge of the stroke symptoms, but its impact on the prehospital delay is still unclear. Furthermore, these findings were mainly obtained from Shanghai, one of the largest metropolises in China. However, more than half of population in China lives in the rural area. Given the striking disparities in socioeconomic status and quality of stroke care across the nation, a multicentre trial is warranted.

          Methods and analysis

          Stroke 1-2-0 education programme will adopt a multicentre, cluster-randomised controlled design. We aimed to recruit 32 communities from 16 counties across China. Each county includes two communities having more than 100 000 residents. The two communities sampled in the same county will be randomly assigned to receive either Stroke 1-2-0 education programme or usual care. The primary objective of this study is to evaluate the impact of Stroke 1-2-0 public education programme in reducing stroke prehospital delay among adults residing in the community, compared with the usual care. The intervention will be implemented for 1 year. The primary outcomes are the symptom onset to hospital arrival time (‘onset-to-door time’, ODT) and 3-hour hospital arriving rate. We will use an intention-to-treat approach. A linear mixed model will be used to control for potential cluster effects.

          Ethics and dissemination

          This study is approved by the Shanghai Minhang District Central Hospital Institutional Review Board (Shanghai, China). The findings will be disseminated via peer-reviewed publications and conference presentations.

          Trial registration number

          ChiCTR2000040782.

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          Most cited references30

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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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            SPIRIT 2013 explanation and elaboration: guidance for protocols of clinical trials

            High quality protocols facilitate proper conduct, reporting, and external review of clinical trials. However, the completeness of trial protocols is often inadequate. To help improve the content and quality of protocols, an international group of stakeholders developed the SPIRIT 2013 Statement (Standard Protocol Items: Recommendations for Interventional Trials). The SPIRIT Statement provides guidance in the form of a checklist of recommended items to include in a clinical trial protocol. This SPIRIT 2013 Explanation and Elaboration paper provides important information to promote full understanding of the checklist recommendations. For each checklist item, we provide a rationale and detailed description; a model example from an actual protocol; and relevant references supporting its importance. We strongly recommend that this explanatory paper be used in conjunction with the SPIRIT Statement. A website of resources is also available (www.spirit-statement.org). The SPIRIT 2013 Explanation and Elaboration paper, together with the Statement, should help with the drafting of trial protocols. Complete documentation of key trial elements can facilitate transparency and protocol review for the benefit of all stakeholders.
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              Mortality, morbidity, and risk factors in China and its provinces, 1990–2017: a systematic analysis for the Global Burden of Disease Study 2017

              Summary Background Public health is a priority for the Chinese Government. Evidence-based decision making for health at the province level in China, which is home to a fifth of the global population, is of paramount importance. This analysis uses data from the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2017 to help inform decision making and monitor progress on health at the province level. Methods We used the methods in GBD 2017 to analyse health patterns in the 34 province-level administrative units in China from 1990 to 2017. We estimated all-cause and cause-specific mortality, years of life lost (YLLs), years lived with disability (YLDs), disability-adjusted life-years (DALYs), summary exposure values (SEVs), and attributable risk. We compared the observed results with expected values estimated based on the Socio-demographic Index (SDI). Findings Stroke and ischaemic heart disease were the leading causes of death and DALYs at the national level in China in 2017. Age-standardised DALYs per 100 000 population decreased by 33·1% (95% uncertainty interval [UI] 29·8 to 37·4) for stroke and increased by 4·6% (–3·3 to 10·7) for ischaemic heart disease from 1990 to 2017. Age-standardised stroke, ischaemic heart disease, lung cancer, chronic obstructive pulmonary disease, and liver cancer were the five leading causes of YLLs in 2017. Musculoskeletal disorders, mental health disorders, and sense organ diseases were the three leading causes of YLDs in 2017, and high systolic blood pressure, smoking, high-sodium diet, and ambient particulate matter pollution were among the leading four risk factors contributing to deaths and DALYs. All provinces had higher than expected DALYs per 100 000 population for liver cancer, with the observed to expected ratio ranging from 2·04 to 6·88. The all-cause age-standardised DALYs per 100 000 population were lower than expected in all provinces in 2017, and among the top 20 level 3 causes were lower than expected for ischaemic heart disease, Alzheimer's disease, headache disorder, and low back pain. The largest percentage change at the national level in age-standardised SEVs among the top ten leading risk factors was in high body-mass index (185%, 95% UI 113·1 to 247·7]), followed by ambient particulate matter pollution (88·5%, 66·4 to 116·4). Interpretation China has made substantial progress in reducing the burden of many diseases and disabilities. Strategies targeting chronic diseases, particularly in the elderly, should be prioritised in the expanding Chinese health-care system. Funding China National Key Research and Development Program and Bill & Melinda Gates Foundation.
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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
                2021
                25 May 2021
                : 11
                : 5
                : e048064
                Affiliations
                [1 ]departmentDepartment of Neurology , Minhang Hospital, Fudan University , Shanghai, China
                [2 ]departmentDepartment of Anesthesiology and Critical Care , Perelman School of Medicine at the University of Pennsylvania , Philadelphia, Pennsylvania, USA
                Author notes
                [Correspondence to ] Dr Renyu Liu; renyu.liu@ 123456pennmedicine.upenn.edu ; Dr Jing Zhao; zhao_jing@ 123456fudan.edu.cn

                YW and YL are joint first authors.

                Author information
                http://orcid.org/0000-0001-9335-8981
                http://orcid.org/0000-0001-5197-9181
                Article
                bmjopen-2020-048064
                10.1136/bmjopen-2020-048064
                8154964
                34035108
                7ef7f5e7-5f51-4794-ba5e-0b6f0043724d
                © Author(s) (or their employer(s)) 2021. 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
                : 16 December 2020
                : 07 May 2021
                Funding
                Funded by: The National Nature Science Foundation of China;
                Award ID: grant nos.81973157
                Funded by: http://dx.doi.org/10.13039/100006920, University of Pennsylvania;
                Award ID: CREF-030
                Categories
                Neurology
                1506
                1713
                Protocol
                Custom metadata
                unlocked

                Medicine
                stroke,health services administration & management,health policy
                Medicine
                stroke, health services administration & management, health policy

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