Clinical validation of grouping conservative treatments in neck pain for use in a network meta-analysis: a Delphi consensus study.

Abstract

A network meta-analysis aims to help clinicians make clinical decisions on the most effective treatment for a certain condition. Neck pain is multifactorial, with various classification systems and treatment options. Classifying patients and grouping interventions in clinically relevant treatment nodes for a NMA is essential, but this process is poorly defined. Our aim is to obtain consensus among experts on neck pain classifications and the grouping of interventions into nodes for a future network meta-analysis. A Delphi consensus study involving neck pain experts worldwide. We invited authors of neck pain clinical practice guidelines published from 2014 onwards. The Delphi baseline questionnaire was developed based on the findings of a scoping review, including four items on classifications and 19 nodes. Participants were asked to record their level of agreement on a seven-point Likert scale or using Yes/No/Not sure answer options for the various statements. We used descriptive analysis to summarise the responses on each statement with content analysis of the free-text comments. In total, 18/80 experts (22.5%) agreed to participate in one or more Delphi rounds. We needed three rounds to reach consensus for two classification of neck pain: one based on aetiology and one on duration. In addition, we also reached consensus on the grouping of interventions, including a definition of each node, with the number of nodes reduced to 17. With this consensus we clinically validated two neck pain classifications and grouped conservative treatments into 17 well-defined and clinically relevant nodes.