Comparison of Dentist Preference towards Software Based Versus Handwritten Prescriptions in Pediatric Dental Patients- A Mixed Methods Study

Abstract

Introduction: Prescriptions for children must be with accurate drug dosages and clear instructions. A digital tool to write, save and send prescriptions can potentially overcome the limitations of hand-written prescriptions. A preliminary mixed methods study comparing a novel ‘app-based’ and handwritten prescriptions in pediatric dental settings is reported. Methodology: Eighteen post-graduate students from departments of pediatric dentistry of two dental schools participated in this mix-methods crossover study. An android app prototype PREASY was indigenously developed to make digital prescriptions. The handwritten and app-based prescriptions were compared in terms of time taken (seconds), precision (accuracy, legibility and clarity) and satisfaction (Likert rating). The mean time taken was compared using t-test, accuracy was compared using ANOVA and satisfaction using a Chi squared test. Qualitative feedback was obtained regarding the PREASY app. Results: The mean time taken for handwritten prescriptions {154.28(+ 54.06)seconds} was almost three times higher than that for the app based prescriptions (54.22 (+ 25.66)seconds} [Student ‘t’ test P < .00001]. The mean differences for accuracy, legibility and clarity were 1.36 + 0.66, 1.39 + 0.44 1.11 + 0.50, respectively and were statistically non-significant (P=.247). A majority of participants were very satisfied or satisfied (94.45%); and the remaining (5.55%), were neutral, dissatisfied or very dissatisfied, [Chi square test, P <.00001]. Qualitative analysis identified important themes that could be segregated in four domains from feedback obtained through open-ended questions and semi-structured group discussion. Conclusion: App-based prescriptions were quicker and more accurate than the handwritten ones with the majority of participants satisfied. Valuable comments pertaining to limitations of the tool and improvement were identified.