title: Validation of a scoliometer smartphone app to assess scoliosis.
abstract: BACKGROUND
  Surgeons and software developers recognize that apps can improve patient care by replicating the function of existing medical devices. However, the incorporation of new tools requires that the clinical data being recorded is accurate and valid. This study attempts to validate a new iPhone app to measure scoliotic rotation. The objective of this study was to validate the scoliogauge iPhone application by comparing the results to simultaneous readings from a standard Scoliometer.
  
  
  METHODS
  Four orthopaedic medical providers (attending surgeon, fellow, resident, and nurse practitioner) each read a standard scoliometer at 60 randomly selected angular measurements between -30 and 30 degrees, whereas a blinded observer simultaneously recorded the angular measurement derived from the scoligauge app. The correlation between the 2 measurements were calculated using a Pearson correlation coefficient with a P-value set to < 0.05 for significance.
  
  
  RESULTS
  The Pearson correlation values ranged from 0.9994 to 0.9996 for all providers and all P-values < 0.001. There was no increase in time associated with using the app compared with the standard device.
  
  
  CONCLUSIONS
  The scoligauge app is a convenient novel tool that replicates the function of a standard clinical scoliometer but with a potentially decreased financial cost and greater convenience for providers.
  
  
  CONCLUSIONS
  Validation of this new device demonstrates the potential to increase the distribution of cost-effective scoliosis screening tools to a broad population of medical providers.
authors.affiliation: Department of Orthopaedic Surgery, University of California, San Diego, CA 92103, USA. ofranko@ucsd.edu
authors.forename: Orrin I
authors.initials: OI
authors.lastname: Franko
authors.forename: Christopher
authors.initials: C
authors.lastname: Bray
authors.forename: Peter O
authors.initials: PO
authors.lastname: Newton
mesh_terms: D040421:Cell Phone; D006801:Humans; D015588:Observer Variation; D009983:Orthopedic Equipment; D015203:Reproducibility of Results; D012600:Scoliosis / Q000175:diagnosis* / Q000473:pathology; D012984:Software; D013997:Time Factors