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      Online dissemination of Cochrane reviews on digital health technologies: a cross-sectional study

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          Abstract

          Background

          This cross-sectional study investigated the online dissemination of Cochrane reviews on digital health technologies.

          Methods

          We searched the Cochrane Database of Systematic Reviews from inception up to May 2023. Cochrane reviews with any population (P), intervention or concept supported by any digital technology (I), any or no comparison (C), and any health outcome (O) were included. Data on review characteristics (bibliographic information, PICO, and evidence quality) and dissemination strategies were extracted and processed. Dissemination was assessed using review information on the Cochrane website and Altmetric data that trace the mentions of academic publications in nonacademic online channels. Data were analysed using descriptive statistics and binary logistic regression analysis.

          Results

          Out of 170 records identified in the search, 100 Cochrane reviews, published between 2005 and 2023, were included. The reviews focused on consumers (e.g. patients, n = 86), people of any age ( n = 44), and clinical populations ( n = 68). All reviews addressed interventions or concepts supported by digital technologies with any devices ( n = 73), mobile devices ( n = 17), or computers ( n = 10). The outcomes focused on disease treatment ( n = 56), health promotion and disease prevention ( n = 27), or management of care delivery ( n = 17). All reviews included 1–132 studies, and half included 1–10 studies. Meta-analysis was performed in 69 reviews, and certainty of evidence was rated as high or moderate for at least one outcome in 46 reviews.

          In agreement with the Cochrane guidelines, all reviews had a plain language summary (PLS) that was available in 3–14 languages. The reviews were disseminated (i.e. mentioned online) predominantly via X/Twitter ( n = 99) and Facebook ( n = 69). Overall, 51 reviews were mentioned in up to 25% and 49 reviews in 5% of all research outputs traced by Altmetric data. Dissemination (i.e. higher Altmetric scores) was associated with bibliographic review characteristics (i.e. earlier publication year and PLS available in more languages), but not with evidence quality (i.e. certainty of evidence rating, number of studies, or meta-analysis performed in review).

          Conclusions

          Online attention towards Cochrane reviews on digital health technologies is high. Dissemination is higher for older reviews and reviews with more PLS translations. Measures are required to improve dissemination of Cochrane reviews based on evidence quality.

          Systematic review registration

          The study was prospectively registered at the Open Science Framework ( https://osf.io/mpw8u/).

          Supplementary Information

          The online version contains supplementary material available at 10.1186/s13643-024-02557-6.

          Related collections

          Most cited references35

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          The Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) statement: guidelines for reporting observational studies.

          Much of biomedical research is observational. The reporting of such research is often inadequate, which hampers the assessment of its strengths and weaknesses and of a study's generalizability. The Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) Initiative developed recommendations on what should be included in an accurate and complete report of an observational study. We defined the scope of the recommendations to cover three main study designs: cohort, case-control, and cross-sectional studies. We convened a 2-day workshop in September 2004, with methodologists, researchers, and journal editors to draft a checklist of items. This list was subsequently revised during several meetings of the coordinating group and in e-mail discussions with the larger group of STROBE contributors, taking into account empirical evidence and methodological considerations. The workshop and the subsequent iterative process of consultation and revision resulted in a checklist of 22 items (the STROBE Statement) that relate to the title, abstract, introduction, methods, results, and discussion sections of articles. Eighteen items are common to all three study designs and four are specific for cohort, case-control, or cross-sectional studies. A detailed Explanation and Elaboration document is published separately and is freely available on the web sites of PLoS Medicine, Annals of Internal Medicine, and Epidemiology. We hope that the STROBE Statement will contribute to improving the quality of reporting of observational studies.
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            The answer is 17 years, what is the question: understanding time lags in translational research

            This study aimed to review the literature describing and quantifying time lags in the health research translation process. Papers were included in the review if they quantified time lags in the development of health interventions. The study identified 23 papers. Few were comparable as different studies use different measures, of different things, at different time points. We concluded that the current state of knowledge of time lags is of limited use to those responsible for R&D and knowledge transfer who face difficulties in knowing what they should or can do to reduce time lags. This effectively ‘blindfolds’ investment decisions and risks wasting effort. The study concludes that understanding lags first requires agreeing models, definitions and measures, which can be applied in practice. A second task would be to develop a process by which to gather these data.
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              Digital technologies in the public-health response to COVID-19

              Digital technologies are being harnessed to support the public-health response to COVID-19 worldwide, including population surveillance, case identification, contact tracing and evaluation of interventions on the basis of mobility data and communication with the public. These rapid responses leverage billions of mobile phones, large online datasets, connected devices, relatively low-cost computing resources and advances in machine learning and natural language processing. This Review aims to capture the breadth of digital innovations for the public-health response to COVID-19 worldwide and their limitations, and barriers to their implementation, including legal, ethical and privacy barriers, as well as organizational and workforce barriers. The future of public health is likely to become increasingly digital, and we review the need for the alignment of international strategies for the regulation, evaluation and use of digital technologies to strengthen pandemic management, and future preparedness for COVID-19 and other infectious diseases.
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                Author and article information

                Contributors
                desantis@leibniz-bips.de
                Journal
                Syst Rev
                Syst Rev
                Systematic Reviews
                BioMed Central (London )
                2046-4053
                15 May 2024
                15 May 2024
                2024
                : 13
                : 133
                Affiliations
                [1 ]Department of Prevention and Evaluation, Leibniz Institute for Prevention Research and Epidemiology — BIPS, ( https://ror.org/02c22vc57) Bremen, 28359 Germany
                [2 ]Department for Evidence-Based Medicine and Evaluation, University for Continuing Education Krems, ( https://ror.org/03ef4a036) Krems, Austria
                [3 ]Faculty of Health and Medicine, School of Medicine and Public Health, University of Newcastle, ( https://ror.org/00eae9z71) Callaghan, NSW Australia
                [4 ]Department of Health Services Research, Faculty 11 Human and Health Sciences, University of Bremen, ( https://ror.org/04ers2y35) Bremen, Germany
                Author information
                http://orcid.org/0000-0001-7647-6767
                Article
                2557
                10.1186/s13643-024-02557-6
                11095012
                38750593
                75fe04bb-40c1-4f62-ace4-8cc746d8f010
                © 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
                : 29 February 2024
                : 5 May 2024
                Funding
                Funded by: Leibniz-Institut für Präventionsforschung und Epidemiologie – BIPS GmbH (5712)
                Categories
                Research
                Custom metadata
                © BioMed Central Ltd., part of Springer Nature 2024

                Public health
                cochrane,review,digital technology,healthcare,public health,cross-sectional,dissemination,knowledge translation,altmetric score

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