22
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Adapting the nominal group technique for priority setting of evidence-practice gaps in implementation science

      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

          Background

          There are a variety of methods for priority setting in health research but few studies have addressed how to prioritise the gaps that exist between research evidence and clinical practice. This study aimed to build a suite of robust, evidence based techniques and tools for use in implementation science projects. We applied the priority setting methodology in lung cancer care as an example.

          Methods

          We reviewed existing techniques and tools for priority setting in health research and the criteria used to prioritise items. An expert interdisciplinary consensus group comprised of health service, cancer and nursing researchers iteratively reviewed and adapted the techniques and tools. We tested these on evidence-practice gaps identified for lung cancer. The tools were pilot tested and finalised. A brief process evaluation was conducted.

          Results

          We based our priority setting on the Nominal Group Technique (NGT). The adapted tools included a matrix for individuals to privately rate priority gaps; the same matrix was used for group discussion and reaching consensus. An investment exercise was used to validate allocation of priorities across the gaps. We describe the NGT process, criteria and tool adaptations and process evaluation results.

          Conclusions

          The modified NGT process, criteria and tools contribute to building a suite of methods that can be applied in prioritising evidence-practice gaps. These methods could be adapted for other health settings within the broader context of implementation science projects.

          Electronic supplementary material

          The online version of this article (doi:10.1186/s12874-016-0210-7) contains supplementary material, which is available to authorized users.

          Related collections

          Most cited references25

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

          Nominal group technique: an effective method for obtaining group consensus.

          This paper aims to demonstrate the versatility and application of nominal group technique as a method for generating priority information. Nominal group technique was used in the context of four focus groups involving clinical experts from the emergency department (ED) and obstetric and midwifery areas of a busy regional hospital to assess the triage and management of pregnant women in the ED. The data generated were used to create a priority list of discussion triggers for the subsequent Participatory Action Research Group. This technique proved to be a productive and efficient data collection method which produced information in a hierarchy of perceived importance and identified real world problems. This information was vital in initiating the participatory action research project and is recommended as an effective and reliable data collection method, especially when undertaking research with clinical experts. © 2012 Blackwell Publishing Asia Pty Ltd.
            Bookmark
            • Record: found
            • Abstract: found
            • Article: not found

            A checklist for health research priority setting: nine common themes of good practice

            Health research priority setting processes assist researchers and policymakers in effectively targeting research that has the greatest potential public health benefit. Many different approaches to health research prioritization exist, but there is no agreement on what might constitute best practice. Moreover, because of the many different contexts for which priorities can be set, attempting to produce one best practice is in fact not appropriate, as the optimal approach varies per exercise. Therefore, following a literature review and an analysis of health research priority setting exercises that were organized or coordinated by the World Health Organization since 2005, we propose a checklist for health research priority setting that allows for informed choices on different approaches and outlines nine common themes of good practice. It is intended to provide generic assistance for planning health research prioritization processes. The checklist explains what needs to be clarified in order to establish the context for which priorities are set; it reviews available approaches to health research priority setting; it offers discussions on stakeholder participation and information gathering; it sets out options for use of criteria and different methods for deciding upon priorities; and it emphasizes the importance of well-planned implementation, evaluation and transparency.
              Bookmark
              • Record: found
              • Abstract: found
              • Article: not found

              Toward evidence-based quality improvement. Evidence (and its limitations) of the effectiveness of guideline dissemination and implementation strategies 1966-1998.

              To determine effectiveness and costs of different guideline dissemination and implementation strategies. MEDLINE (1966 to 1998), HEALTHSTAR (1975 to 1998), Cochrane Controlled Trial Register (4th edn 1998), EMBASE (1980 to 1998), SIGLE (1980 to 1988), and the specialized register of the Cochrane Effective Practice and Organisation of Care group. Randomized-controlled trials, controlled clinical trials, controlled before and after studies, and interrupted time series evaluating guideline dissemination and implementation strategies targeting medically qualified health care professionals that reported objective measures of provider behavior and/or patient outcome. Two reviewers independently abstracted data on the methodologic quality of the studies, characteristics of study setting, participants, targeted behaviors, and interventions. We derived single estimates of dichotomous process variables (e.g., proportion of patients receiving appropriate treatment) for each study comparison and reported the median and range of effect sizes observed by study group and other quality criteria. We included 309 comparisons derived from 235 studies. The overall quality of the studies was poor. Seventy-three percent of comparisons evaluated multifaceted interventions. Overall, the majority of comparisons (86.6%) observed improvements in care; for example, the median absolute improvement in performance across interventions ranged from 14.1% in 14 cluster-randomized comparisons of reminders, 8.1% in 4 cluster-randomized comparisons of dissemination of educational materials, 7.0% in 5 cluster-randomized comparisons of audit and feedback, and 6.0% in 13 cluster-randomized comparisons of multifaceted interventions involving educational outreach. We found no relationship between the number of components and the effects of multifaceted interventions. Only 29.4% of comparisons reported any economic data. Current guideline dissemination and implementation strategies can lead to improvements in care within the context of rigorous evaluative studies. However, there is an imperfect evidence base to support decisions about which guideline dissemination and implementation strategies are likely to be efficient under different circumstances. Decision makers need to use considerable judgment about how best to use the limited resources they have for quality improvement activities.
                Bookmark

                Author and article information

                Contributors
                +61 2 9562 5324 , nicole.rankin@ctc.usyd.edu.au
                d.mcgregor@sydney.edu.au
                phyllis.butow@sydney.edu.au
                kate.white@sydney.edu.au
                jane.phillips@uts.edu.au
                jane.young@sydney.edu.au
                sallie.pearson@unsw.edu.au
                sarah.york@sydney.edu.au
                tim.shaw@sydney.edu.au
                Journal
                BMC Med Res Methodol
                BMC Med Res Methodol
                BMC Medical Research Methodology
                BioMed Central (London )
                1471-2288
                26 August 2016
                26 August 2016
                2016
                : 16
                : 1
                : 110
                Affiliations
                [1 ]Sydney Catalyst Translational Cancer Research Cente, The University of Sydney, Level 6, 119-143 Missenden Road, Camperdown, NSW 2050 Australia
                [2 ]Faculty of Health Sciences, The University of Sydney, Sydney, Australia
                [3 ]Psycho-Oncology Co-operative Research Group, School of Psychology, The University of Sydney, Sydney, Australia
                [4 ]Centre for Medical Psychology & Evidence-based Decision-making, The University of Sydney, Sydney, Australia
                [5 ]Cancer Nursing Research Unit (CNRU), Sydney Nursing School, Sydney Local Health District and The University of Sydney, Sydney, Australia
                [6 ]Faculty of Health, University of Technology Sydney, Sydney, Australia
                [7 ]Sydney School of Public Health, The University of Sydney, Sydney, Australia
                [8 ]RPA Institute of Academic Surgery, Sydney Local Health District, NSW Ministry of Health, Sydney, Australia
                [9 ]Medicines Policy Research Unit, Centre for Big Data Research in Health, University of New South Wales, Sydney, Australia
                Article
                210
                10.1186/s12874-016-0210-7
                5002198
                27566679
                e67f13cc-f694-4428-98a5-aa09f271a659
                © The Author(s). 2016

                Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License ( http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. 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.

                History
                : 14 July 2015
                : 11 August 2016
                Funding
                Funded by: FundRef http://dx.doi.org/10.13039/501100001171, Cancer Institute NSW (AU);
                Award ID: Sydney Catalyst TCRC
                Award Recipient :
                Categories
                Research Article
                Custom metadata
                © The Author(s) 2016

                Medicine
                health priorities,implementation science,methodology,health services research,lung neoplasms

                Comments

                Comment on this article