The evaluation of smartphone versions of the visual analogue scale and numeric rating scale as postoperative pain assessment tools: a prospective randomized trial
Autor: | J. Mark Ansermino, Lily Y. L. Chiu, Cynthia H. Yarnold, Terri Sun, Ronald Ree, Dustin Dunsmuir, Alexander Dotto |
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Rok vydání: | 2018 |
Předmět: |
Adult
Male medicine.medical_specialty Visual Analog Scale Visual analogue scale Pacu law.invention Young Adult Randomized controlled trial Pain assessment law Numeric Rating Scale Medicine Humans Prospective Studies Prospective cohort study Aged Pain Measurement Pain Postoperative Cross-Over Studies biology business.industry General Medicine Middle Aged biology.organism_classification Crossover study Mobile Applications Confidence interval Anesthesiology and Pain Medicine Anesthesia Anesthesia Recovery Period Physical therapy Female Smartphone business Follow-Up Studies |
Zdroj: | Canadian journal of anaesthesia = Journal canadien d'anesthesie. 66(6) |
ISSN: | 1496-8975 |
Popis: | The Pain assessment using a novel digital application (Panda) is a smartphone application that contains the digital versions of the visual analogue scale (VAS-100) and numeric rating scale (NRS-11). This study aimed to investigate if the Panda versions of these two pain scales are equivalent to the paper versions in adult patients. This was a prospective, randomized, cross-over-controlled trial of subjects aged 19–75 yr undergoing procedures with anticipated post-surgical pain. Each subject used both the Panda and paper versions of VAS-100 or NRS-11 pain scores after emergence from anesthesia and after meeting postanesthesia care unit (PACU) discharge criteria. Correlations between the two tools were analyzed, and Bland-Altman agreement was calculated. The smartphone and paper versions were considered equivalent at each time point if the differences (and their 95% confidence interval [CI]) between them were less than 20 points for the VAS-100 and 2.1 for NRS-11. The two versions of the VAS-100 correlated strongly after emergence (Pearson’s r = 0.93; P |
Databáze: | OpenAIRE |
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