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. 2023 Mar 17;18(3):e0281308.
doi: 10.1371/journal.pone.0281308. eCollection 2023.

Which clinical research questions are the most important? Development and preliminary validation of the Australia & New Zealand Musculoskeletal (ANZMUSC) Clinical Trials Network Research Question Importance Tool (ANZMUSC-RQIT)

Affiliations

Which clinical research questions are the most important? Development and preliminary validation of the Australia & New Zealand Musculoskeletal (ANZMUSC) Clinical Trials Network Research Question Importance Tool (ANZMUSC-RQIT)

William J Taylor et al. PLoS One. .

Abstract

Background and aims: High quality clinical research that addresses important questions requires significant resources. In resource-constrained environments, projects will therefore need to be prioritized. The Australia and New Zealand Musculoskeletal (ANZMUSC) Clinical Trials Network aimed to develop a stakeholder-based, transparent, easily implementable tool that provides a score for the 'importance' of a research question which could be used to rank research projects in order of importance.

Methods: Using a mixed-methods, multi-stage approach that included a Delphi survey, consensus workshop, inter-rater reliability testing, validity testing and calibration using a discrete-choice methodology, the Research Question Importance Tool (ANZMUSC-RQIT) was developed. The tool incorporated broad stakeholder opinion, including consumers, at each stage and is designed for scoring by committee consensus.

Results: The ANZMUSC-RQIT tool consists of 5 dimensions (compared to 6 dimensions for an earlier version of RQIT): (1) extent of stakeholder consensus, (2) social burden of health condition, (3) patient burden of health condition, (4) anticipated effectiveness of proposed intervention, and (5) extent to which health equity is addressed by the research. Each dimension is assessed by defining ordered levels of a relevant attribute and by assigning a score to each level. The scores for the dimensions are then summed to obtain an overall ANZMUSC-RQIT score, which represents the importance of the research question. The result is a score on an interval scale with an arbitrary unit, ranging from 0 (minimal importance) to 1000. The ANZMUSC-RQIT dimensions can be reliably ordered by committee consensus (ICC 0.73-0.93) and the overall score is positively associated with citation count (standardised regression coefficient 0.33, p<0.001) and journal impact factor group (OR 6.78, 95% CI 3.17 to 14.50 for 3rd tertile compared to 1st tertile of ANZMUSC-RQIT scores) for 200 published musculoskeletal clinical trials.

Conclusion: We propose that the ANZMUSC-RQIT is a useful tool for prioritising the importance of a research question.

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Conflict of interest statement

The authors have declared that no competing interests exist.

Figures

Fig 1
Fig 1. A schematic of the overall study structure.
Fig 2
Fig 2. Distribution of rankings and importance grade of 30 research questions relevant to MSK clinical trials.
Each research question is labelled as an Australian wildflower and are displayed in order of most highly ranked to least highly ranked. The blue line shows the mean ranking (left axis) and the green line shows the importance grade nominated by the source of the research question (right axis). Each data symbol represents a workshop participant.
Fig 3
Fig 3. The level of association between dimensions of RQIT shown as counts of publications by journal impact factor (low, high) and by categories of the RQIT assessment.
The Phi (also known as Cramer’s V) statistic can be interpreted in a similar way as a correlation coefficient.

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