| Literature DB >> 28780546 |
Dyon Hoekstra1, Margot Mütsch2, Christina Kien3, Ansgar Gerhardus4, Stefan K Lhachimi5.
Abstract
INTRODUCTION: The Cochrane Collaboration aims to produce relevant and top priority evidence that responds to existing evidence gaps. Hence, research priority setting (RPS) is important to identify which potential research gaps are deemed most important. Moreover, RPS supports future health research to conform both health and health evidence needs. However, studies that are prioritising systematic review topics in public health are surprisingly rare. Therefore, to inform the research agenda of Cochrane Public Health Europe (CPHE), we introduce the protocol of a priority setting study on systematic review topics in several European countries, which is conceptualised as pilot. METHODS AND ANALYSIS: We will conduct a two-round modified Delphi study in Switzerland, incorporating an anonymous web-based questionnaire, to assess which topics should be prioritised for systematic reviews in public health. In the first Delphi round public health stakeholders will suggest relevant assessment criteria and potential priority topics. In the second Delphi round the participants indicate their (dis)agreement to the aggregated results of the first round and rate the potential review topics with the predetermined criteria on a four-point Likert scale. As we invite a wide variety of stakeholders we will compare the results between the different stakeholder groups. ETHICS AND DISSEMINATION: We have received ethical approval from the ethical board of the University of Bremen, Germany (principal investigation is conducted at the University of Bremen) and a certificate of non-objection from the Canton of Zurich, Switzerland (fieldwork will be conducted in Switzerland). The results of this study will be further disseminated through peer reviewed publication and will support systematic review author groups (i.a. CPHE) to improve the relevance of the groups´ future review work. Finally, the proposed priority setting study can be used as a framework by other systematic review groups when conducting a priority setting study in a different context. © Article author(s) (or their employer(s) unless otherwise stated in the text of the article) 2017. All rights reserved. No commercial use is permitted unless otherwise expressly granted.Entities:
Keywords: evidence-based research; health policy; priority setting; public health
Mesh:
Year: 2017 PMID: 28780546 PMCID: PMC5724103 DOI: 10.1136/bmjopen-2016-015500
Source DB: PubMed Journal: BMJ Open ISSN: 2044-6055 Impact factor: 2.692
Figure 1Stages of the proposed Research Priority Setting study.
Main domains of public health research
| Domains | Key Words |
| Prevention | Surveillance / modelling / control of diseases & other health conditions |
| Health promotion | Health information / health competences / healthy behaviour & environments |
| Health services | Medical care / health systems & services |
Preselected assessment criteria
| Equity | The review topic will be likely to reduce inequity in the accessibility of health interventions. |
| Effectiveness | The review topic will be likely to generate/improve effective health interventions. |
| Disease burden reduction | The review topic will have a theoretical potential to reduce large portions of the existing disease burden. |
| Feasibility | The review topic will be deliverable within its context. |
| Novelty of the concept | The review topic represents a new or emerging area. |
| Lack of (good quality) evidence | Synthesised evidence for the review topic is either not existing, lacking in quality, not up to date, or only available in a different context. |
Example of criterion weight calculation
| Criterion 1 | Criterion 2 | Criterion 3 | Total | |
| Respondent 1 | 50 | 30 | 20 | 100 |
| Respondent 2 | 20 | 50 | 30 | 100 |
| Respondent 3 | 100 | 0 | 0 | 100 |
| Respondent 4 | 0 | 50 | 50 | 100 |
| Total points (sum of points given by respondents) | 170 | 130 | 100 | 400 |
| Weight ((total points given to criterion / total number of respondents) * 100) | (170/400) *100 = | (130/400) *100 = | (100/400) *100 = |