Testing the Decision Support Tool for Responsible Pain Management for Headache and Facial Pain Diagnosis with Opioid-Risk-Stratified Treatment.
Barbara J St MarieYelena PerkhounkovaAmalia Gedney-LoseAndrea JimmersonBrooke PorterKeela HerrPrakash NadkarniPublished in: SN comprehensive clinical medicine (2023)
In primary and urgent care, headache and facial pain are common and challenging to diagnose and manage, especially with using opioids appropriately. We therefore developed the Decision Support Tool for Responsible Pain Management (DS-RPM) to assist healthcare providers in diagnosis (including multiple simultaneous diagnoses), workup (including triage), and opioid-risk-informed treatment. A primary goal was to supply sufficient explanations of DS-RPM's functions allowing critique. We describe the process of iteratively designing DS-RPM adding clinical content and testing/defect discovery. We tested DS-RPM remotely with 21 clinician-participants using three vignettes-cluster headache, migraine, and temporal arteritis-after first training to use DS-RPM with a trigeminal-neuralgia vignette. Their evaluation was both quantitative (usability/acceptability) and qualitative using semi-structured interviews. The quantitative evaluation used 12 Likert-type questions on a 1-5 scale, where 5 represented the highest rating. The mean ratings ranged from 4.48 to 4.95 (SDs ranging 0.22-1.03). Participants initially found structured data entry intimidating but adapted and appreciated its comprehensiveness and speed of data capture. They perceived DS-RPM as useful for teaching and clinical practice, making several enhancement suggestions. The DS-RPM was designed, created, and tested to facilitate best practice in management of patients with headaches and facial pain. Testing the DS-RPM with vignettes showed strong functionality and high usability/acceptability ratings from healthcare providers. Risk stratifying for opioid use disorder to develop a treatment plan for headache and facial pain is possible using vignettes. During testing, we considered the need to adapt usability/acceptability evaluation tools for clinical decision support, and future directions.
Keyphrases