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      Guidelines for Accurate and Transparent Health Estimates Reporting: the GATHER statement.

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          Abstract

          Gretchen Stevens and colleagues present the GATHER statement, which seeks to promote good practice in the reporting of global health estimates.

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          Most cited references10

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

          Erik von Elm, Douglas G Altman, Matthias Egger … (2007)
          Much 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 two-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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            Mathematical models in the evaluation of health programmes.

            Geoffrey Garnett, Simon Cousens, Timothy B Hallett … (2011)
            Modelling is valuable in the planning and evaluation of interventions, especially when a controlled trial is ethically or logistically impossible. Models are often used to calculate the expected course of events in the absence of more formal assessments. They are also used to derive estimates of rare or future events from recorded intermediate points. When developing models, decisions are needed about the appropriate level of complexity to be represented and about model structure and assumptions. The degree of rigor in model development and assessment can vary greatly, and there is a danger that existing beliefs inappropriately influence judgments about model assumptions and results. Copyright © 2011 Elsevier Ltd. All rights reserved.
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              Sharing research data to improve public health.

              Mark Walport, P Brest (2011)
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                Author and article information

                Journal
                Journal ID (iso-abbrev): PLoS Med.
                Title: PLoS medicine
                Publisher: Public Library of Science (PLoS)
                ISSN (Electronic): 1549-1676
                ISSN (Print): 1549-1277
                Publication date (Electronic): Jun 2016
                Volume: 13
                Issue: 6
                Affiliations
                [1 ] Department of Information, Evidence and Research, World Health Organization, Geneva, Switzerland.
                [2 ] Department of Biostatistics and Epidemiology, University of Massachusetts, Amherst, Massachusetts, United States of America.
                [3 ] Department of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, United States of America.
                [4 ] Nuffield Department of Orthopaedics, Rheumatology & Musculoskeletal Sciences (NDORMS), University of Oxford, Oxford, United Kingdom.
                [5 ] Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, United Kingdom.
                [6 ] Global Development Program, Bill & Melinda Gates Foundation, Seattle, Washington, United States of America.
                [7 ] Independent consultant, Seattle, Washington, United States of America.
                [8 ] The Lancet, London, United Kingdom.
                [9 ] Department of Infectious Disease Epidemiology, London School of Hygiene & Tropical Medicine, London, United Kingdom.
                [10 ] Department of Research in Biomedicine and Health and Cochrane Croatia, University of Split School of Medicine, Split, Croatia.
                [11 ] Institute for Health Metrics and Evaluation, University of Washington, Seattle, Washington, United States of America.
                [12 ] Centre for Global Health Research, Usher Institute for Population Health Sciences and Informatics, The University of Edinburgh, Edinburgh, Scotland, United Kingdom.
                [13 ] Department of Global Health and Population, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, United States of America.
                [14 ] PLOS Medicine, Cambridge, United Kingdom.
                [15 ] Bruyére Research Institute, Bruyére Continuing Care, Ottawa, Ontario, Canada.
                [16 ] Centre for Global Health, University of Ottawa, Ottawa, Ontario, Canada.
                Article
                Publisher Item ID: PMEDICINE-D-16-00308
                DOI: 10.1371/journal.pmed.1002056
                PMC ID: 4924581
                PubMed ID: 27351744
                SO-VID: e892595a-2e94-4fbe-8588-ba8ccf64e381
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