A complete overview of the PhD theses within the field of medicine and health science in Norway in 2018 by using the Health Research Classification System (HRCS) | 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 A complete overview of the PhD theses within the field of medicine and health science in Norway in 2018 by using the Health Research Classification System (HRCS) Helen E Kvalem, Frode Hovland Søreide, Bo Sarpebakken, Dyveke L Hetland This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.2.24802/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: The two-dimensional Health Research Classification System (HRCS) describes health research by the type of research undertaken (Research Activity, RA) and by the health issue or disease addressed (Health Category, HC). This is the first time HRCS has been used to classify PhD theses. Material and methods: All 485 PhD theses within medicine and health in Norway from 2018 were coded with HRCS. Results: Cancer and Neoplasms (12.1%), Cardiovascular (10.7%), Mental Health (10.5%) and Generic Health Relevance (9.8%) were the largest Health Categories whereas Aetiology (32.1%), Evaluation of Treatment (19.7%) and Detection and Diagnosis (13.3%) were the largest Research Activity categories. Interpretation: There is not a perfect overlap in HRCS profiles between the new PhDs in 2018 and the projects awarded from the main research funding organisations in Norway1. In terms of Research Activities, the disparity between HRCS coded PhDs and HRCS-coded research projects is greatest for RAs: Aetiology (higher for PhDs) and Prevention (lower). While some major health challenges in Norway in DALYs like Cancer and Neoplasms, Mental Health and Cardiovascular are accordingly addressed in the PhDs 2018, the Health Categories Musculoskeletal, Respiratory and Injuries and Accidents are not. Health Policy The Health Research Classification System was originally designed by the UK Clinical Research Full Text Tables And Figures Due to technical limitations, tables and figures are only available as a download in the supplemental files section Supplementary Files HRCSandPhDsfigures.pdf 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. 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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-15360","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Research","associatedPublications":[],"authors":[{"id":374048,"identity":"49ffe3e2-4633-4e96-8e8c-54350138f328","order_by":1,"name":"Helen E 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