Comparison of Cost-Effectiveness and Cost-Utility of a Telerehabilitation Programme for the Management of Non-Specific Neck Pain: A Study Protocol

<b>Background/Objectives</b>: Neck pain is a complex biopsychosocial condition that affects a significant proportion of the global population. Projections indicate that over the next 30 years, cervical pain will impact approximately 269 million individuals, positioning it as one of the primary drivers of healthcare expenditure and system burden worldwide. While exercise is a key approach for neck pain, the effectiveness and cost-effectiveness of treatments delivered remotely remain underexplored. The aim of this study is to analyse the cost-effectiveness and cost-utility of the treatment of non-specific neck pain through a telerehabilitation programme based on cervical exercise and analgesic electrotherapy. <b>Methods</b>: This is a study protocol for an economic evaluation based on a randomised controlled trial (RCT) with a sample size of 210 participants (<i>N</i> = 210). The sample will be evenly divided into two groups to perform the same cervical exercise programme combined with electroanalgesia: one group will receive the intervention via telerehabilitation, and the other will receive the intervention face-to-face. Three sessions will be held per week for eight weeks for a total of 24 sessions. Demographic and clinical data of the participants, healthcare resource utilisation, and associated costs will be collected. Assessments will be carried out throughout the study: before the first session (baseline), at 8 weeks (post-intervention), and 6 months after completion of the treatment (follow-up). <b>Discussion</b>: This study will make a significant contribution to reducing costs and improving the treatment of patients with non-specific chronic neck pain. The social perspective associated with economic evaluation will enable the investigation of indirect costs such as work absenteeism or expenses borne by the patient, providing useful data to optimise planning and decision-making in the healthcare sector.