Mobile-phone application for the early detection of common skin diseases in Indonesia (DEDIKASI-App): development and acceptability testing

Background: 

Skin diseases are highly prevalent, especially in low-income communities, leading to anxiety, depression, and stigma. This study developed and assessed the acceptability of the DEDIKASI app, a two-way mHealth application designed to enhance awareness and support early detection of common skin diseases, including leprosy. 

Methods:

The app was developed through design thinking, incorporating inspiration, ideation, and implementation. A cross-sectional survey in Pamekasan District, Indonesia, piloted the app among 50 community members and 21 healthcare workers (HCWs). Participants completed self-administered questionnaires based on the Technology Acceptance Model (TAM), assessing perceived usefulness, perceived ease of use, attitude towards use, and behavioural intention to use. Four supplementary constructs–security and privacy, technology usability, quality of information, and perceived benefit–were examined. The total number of items was 31 and 28 for community members and HCWs, respectively. Response options on 5-point Likert scales ranged from ‘very much agree’ to ‘undecided’ to ‘very much disagree’. Data were analysed using descriptive statistics.

Results:

The DEDIKASI app demonstrated high acceptability, with 90% of community members and 86% of HCWs intending to use it. Some community members expressed concerns regarding ease of use (14% undecided), security and privacy (12% undecided), and information quality (4% undecided). HCWs reported no negative responses, though some remained undecided about security and usability. 

Conclusions:

The DEDIKASI app has strong potential for raising awareness and facilitating early detection of skin diseases, contributing to improved public health outcomes. Enhancements in usability, security, and information quality may further increase user satisfaction and acceptance.