14
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Past speculations of the future: a review of the methods used for forecasting emerging health technologies

      research-article

      Read this article at

      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          Objectives

          Forecasting can support rational decision-making around the introduction and use of emerging health technologies and prevent investment in technologies that have limited long-term potential. However, forecasting methods need to be credible. We performed a systematic search to identify the methods used in forecasting studies to predict future health technologies within a 3–20-year timeframe. Identification and retrospective assessment of such methods potentially offer a route to more reliable prediction.

          Design

          Systematic search of the literature to identify studies reported on methods of forecasting in healthcare.

          Participants

          People are not needed in this study.

          Data sources

          The authors searched MEDLINE, EMBASE, PsychINFO and grey literature sources, and included articles published in English that reported their methods and a list of identified technologies.

          Main outcome measure

          Studies reporting methods used to predict future health technologies within a 3–20-year timeframe with an identified list of individual healthcare technologies. Commercially sponsored reviews, long-term futurology studies (with over 20-year timeframes) and speculative editorials were excluded.

          Results

          15 studies met our inclusion criteria. Our results showed that the majority of studies (13/15) consulted experts either alone or in combination with other methods such as literature searching. Only 2 studies used more complex forecasting tools such as scenario building.

          Conclusions

          The methodological fundamentals of formal 3–20-year prediction are consistent but vary in details. Further research needs to be conducted to ascertain if the predictions made were accurate and whether accuracy varies by the methods used or by the types of technologies identified.

          Related collections

          Most cited references5

          • Record: found
          • Abstract: found
          • Article: not found

          Top ten biotechnologies for improving health in developing countries.

          Most research into genomics and other related biotechnologies is concerned with the priorities of industrialized nations, and yet a limited number of projects have shown that these technologies could help improve health in developing countries. To encourage the successful application of biotechnology to global health, we carried out a study in which we asked an international group of eminent scientists with expertise in global health issues to identify the top ten biotechnologies for improving health in developing countries. The results offer concrete guidance to those in a position to influence the direction of research and development, and challenge common assumptions about the relevance and affordability of biotechnology for developing countries.
            Bookmark
            • Record: found
            • Abstract: not found
            • Article: not found

            Selecting new health technologies for evaluation: Can clinical experts predict which new anticancer drugs will impact Danish health care?

              Bookmark
              • Record: found
              • Abstract: not found
              • Article: not found

              Advances in medical technology over the next 20 years.

              J Spiby (1988)
                Bookmark

                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
                2016
                10 March 2016
                : 6
                : 3
                : e010479
                Affiliations
                [1 ]NIHR Horizon Scanning Research and Intelligence Centre, Institute of Applied Health Research, University of Birmingham , Birmingham, UK
                [2 ]Institute of Applied Health Research, University of Birmingham , Birmingham, UK
                Author notes
                [Correspondence to ] Dr Lucy Doos; l.doos@ 123456bham.ac.uk
                Article
                bmjopen-2015-010479
                10.1136/bmjopen-2015-010479
                4800127
                26966060
                ae4630d6-481f-4574-a4c0-03ad6170b724
                Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://www.bmj.com/company/products-services/rights-and-licensing/

                This is an Open Access article distributed in accordance with the terms of the Creative Commons Attribution (CC BY 4.0) license, which permits others to distribute, remix, adapt and build upon this work, for commercial use, provided the original work is properly cited. See: http://creativecommons.org/licenses/by/4.0/

                History
                : 10 November 2015
                : 6 January 2016
                : 10 February 2016
                Funding
                Funded by: National Institute for Health Research, http://dx.doi.org/10.13039/501100000272;
                Categories
                Public Health
                Research
                1506
                1724
                1702

                Medicine
                forecasting,health technology,innovations,methods,systematic review
                Medicine
                forecasting, health technology, innovations, methods, systematic review

                Comments

                Comment on this article