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Development and validation of a mobile application for point of care evaluation of growth failure

Riddhi V. Patel, , Hemangkumar V. Mendpara, Chetankumar C. Dave, Sajili S. Mehta, Shalabh Dixit, Rishi K. Shukla

Abstract: Objectives: Lack of systematic evaluation of short stature results in unnecessary work-up on one hand while missing pathology on the other. We have developed a mobile application that guides work-up based on age, auxology (height, BMI, and corrected standard deviation score), and skeletal maturation with an aim of reducing the diagnostic errors. Aim of this study is to develop and validate a mobile application for point of care evaluation of short stature. Methods: The application was developed (n=400) and validated (n=412) on children and adolescents (2–18 years of age) presenting to our Pediatric Endocrinology Clinic with short stature. Height standard deviation score thresholds determining the need for workup were derived from Receiver Operating Characteristics (ROC) curve. Student’s t-test and ROC curves were used to identify the most appropriate parameter differentiating constitutional delay of growth and puberty (CDGP) from pathological and nutritional from endocrine causes. The validation of the application involved comparing the application predicted and clinical diagnosis at each step of the algorithm. Results: The mobile application diagnosis was concordant with clinical diagnosis in 408 (99.0%) with discordance in four (two with CDGP labeled as growth hormone deficiency [GHD] and two with GHD labeled as CDGP). Conclusions: Mobile application guided short stature assessment has a high concordance with the clinical diagnosis and is expected to help point of care short stature evaluation.
Keywords: algorithm / mobile application / validation

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