Integrated Approach for Early Detection and Prevention of Abnormal Child Growth: A Kansei Design and Quality Function Deployment Study

Abstract

Abstract Sustainable development aims to reduce inequalities, including health inequalities. Focusing on early identification and prevention of growth and developmental disorders, as advocated in the article, contributes to reducing health disparities, which is a key aspect of sustainability. This article delves into the significance of assessing an individual’s physique as an initial diagnostic method for evaluating well-being, addressing both physical and mental health aspects. Body mass index (BMI) is commonly used to assess anthropometric height/weight attributes, aiding in nutrition evaluation and categorization, contributing to the promotion of healthy lives and well-being. The focus lies on growth monitoring for infants and children. The stunting not only impacts mental and physical development but also contributes to lifelong health disparities. Indonesia ranks fifth in global stunting cases. The government aims to reduce stunting by 14% in 2024, employing specific nutritional interventions. Stunting’s consequences span increased illness rates, compromised growth and learning, susceptibility to diseases in adulthood, and diminished productivity. Early identification and prevention are essential, with Posyandu serving as a platform for community-driven health progress. Regarding the early detection of stunting, it is imperative to involve healthcare workers in the design process of growth monitoring tools and interventions. This ensures that these tools and interventions are practical and user-friendly in real-world scenarios. Utilizing user-centered design approaches like Kansei Design Thinking and Quality Function Deployment can lead to the development of more effective and engaging tools and interventions.