Efficacy of eHealth interventions in patients with Parkinson's disease: A protocol for systematic review and network meta–analysis

Efficacy of eHealth interventions in patients with Parkinson's disease: A protocol for systematic review and network meta–analysis | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Research Article Efficacy of eHealth interventions in patients with Parkinson's disease: A protocol for systematic review and network meta–analysis wenzhen chen, Shuqin Sun, Chengwei Fu, Xiuping He, Yan Wang, Jiawen Song, and 2 more This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-6768944/v1 This work is licensed under a CC BY 4.0 License Status: Posted Version 1 posted You are reading this latest preprint version Abstract Background eHealth is emerging as a promising intervention for Parkinson's disease (PD) , yet there is currently no consensus on their impact on improving clinical management or on the most effective electronic health technology. Thus, we will conduct a systematic review and network meta-analysis to evaluate the most effective of various eHealth interventions in PD. Methods We will execute an expansive search across multiple databases, involving Cochrane Library, PubMed, Ovid, CINAHL, Scoups, Web of Science and Embase. This study will center on eHealth interventions related to PD and we will identify randomized controlled trials published in the English language that from the inception of these databases until 16 March 2025. Following initial title and abstract screening, key study elements including participates, interventions and outcomes will be gingerly extracted using eligible criteria. Then, quality of the literature will be evaluated using the Cochrane risk-of-bias tool. Direct comparisons between interventions will be analyzed through pairwise meta-analysis in STATA, with subsequent network meta-analysis employing this platform to establish symptom alleviation efficacy hierarchies among eHealth methods. Discussion This study will address a critical gap in Parkinson’s disease (PD) management by comprehensively evaluating the comparative effectiveness of eHealth interventions for delivering cognitive and motor function therapies, thereby advancing evidence-based strategies to optimize remote care for patients with this neurodegenerative condition. Systematic review registration The protocol of this systematic review has been registered in PROSPERO with the registration number CRD420250655984. Available at: https://www.crd.york.ac.uk/prospero/#searchadvanced. Parkinson’s disease eHealth nursing network meta-analysis Figures Figure 1 Figure 2 Full Text Supplementary Files S1Table.docx S2Table.doc Cite Share Download PDF Status: Posted Version 1 posted You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. We do this by developing innovative software and high quality services for the global research community. Our growing team is made up of researchers and industry professionals working together to solve the most critical problems facing scientific publishing. Also discoverable on Platform About Our Team In Review Editorial Policies Advisory Board Help Center Resources Author Services Accessibility API Access RSS feed Manage Cookie Preferences © Research Square 2026 | ISSN 2693-5015 (online) Privacy Policy Terms of Service Do Not Sell My Personal Information {"props":{"pageProps":{"initialData":{"identity":"rs-6768944","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":518719887,"identity":"30f3cd08-b63e-43ec-93c2-e54723311168","order_by":0,"name":"wenzhen 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Thus, we will conduct a systematic review and network meta-analysis to evaluate the most effective of various eHealth interventions in PD.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eMethods\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eWe will execute\u0026nbsp;an expansive search across multiple databases, involving Cochrane Library, PubMed, Ovid, CINAHL, Scoups, Web of Science and Embase. This study\u0026nbsp;will center\u0026nbsp;on eHealth\u0026nbsp;interventions related to PD and we will\u0026nbsp;identify randomized controlled trials published in the English language that from the inception of these databases until 16\u0026nbsp;March\u0026nbsp;2025. Following initial title and abstract screening, key study elements including participates, interventions and outcomes will be gingerly extracted using eligible criteria. Then, quality of the literature will be evaluated using the Cochrane risk-of-bias tool. 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