# Assessing User Experience and Satisfaction with a Mobile Application for Drug Dosage Calculation—A Pilot Study

**Authors:** Rasa Mladenovic, Marko Milosavljevic, Zlatica Mirkovic, Kristina Mladenovic

PMC · DOI: 10.3390/dj14010020 · Dentistry Journal · 2026-01-04

## TL;DR

A mobile app called Dent.IN CALC helps dentists calculate drug dosages for children, and users found it helpful and easy to use.

## Contribution

The study introduces and evaluates a mobile application designed to improve drug dosage accuracy in pediatric dentistry.

## Key findings

- Most users found the app intuitive and time-saving with a high satisfaction score.
- The app was rated as highly beneficial for daily clinical practice.
- Users showed strong willingness to recommend the app to others.

## Abstract

Background/Objectives: Accurate drug dosage calculation in pediatric dentistry represents an essential component of everyday clinical practice. However, manual calculation methods, reliance on memory, and inconsistent pharmacological education often lead to uncertainty among practitioners. Methods: To support clinicians in this process, a mobile application—Dent.IN CALC—was developed as a rapid, evidence-based, and user-friendly tool. The app allows the input of age and weight to instantly generate recommended and maximum safe dosages of commonly prescribed antibiotics, analgesics, and local anesthetics. Additionally, it includes a list of corresponding pharmaceutical preparations available on the local market. A preliminary evaluation among sixty dentists revealed significant variability in dosage knowledge and confirmed the need for digital tools that facilitate accurate and efficient prescribing. Results: Most users rated the app as intuitive, time-saving, and highly beneficial for daily practice (mean satisfaction score 4.7 ± 0.4; 95% would recommend the app). Conclusions: The Dent.IN CALC app shows strong user acceptance and demonstrates how digital solutions can streamline workflow and support clinicians in routine pediatric pharmacological decision-making.

## Full text

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## Figures

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## References

18 references — full list in the complete paper: https://tomesphere.com/paper/PMC12840001/full.md

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Source: https://tomesphere.com/paper/PMC12840001