Measuring Patient Delay in Leprosy Detection According to Initial Health-Seeking Behavior in Indonesia

Leprosy is a public health problem causing permanent disability, with visible impairments classified as grade 2 disability (G2D). This problem is associated with case detection delay (CDD), which comprises patient and health system delays. Patient delay is caused by the initial health-seeking behavior of people with leprosy. This study aims to measure the duration of patient delay according to the initial health-seeking behavior. This study employed a cross-sectional approach. Data were collected through interviews with leprosy patients. Statistical analysis was conducted to measure and compare the duration of patient delay according to the types of initial health-seeking behaviors. These behaviors were categorized into three types: visiting appropriate healthcare services (38.1%), engaging in self-medication and seeking inappropriate medicine and healthcare services (45,2%), and taking no action (16.7%). The mean duration of patient delay was 9.7 months. The longest patient delay was due to self-medication and seeking inappropriate treatment (10.8 months). There was no significant difference in patient delay according to the initial health-seeking behavior of people with leprosy (p = 0.051). Community awareness of leprosy needs to be improved through health education to reduce the duration of patient delay.

Authors

Publication Details

Journal
Springer Link (Chiba Institute of Technology)
Published
2025-11-03
DOI
https://doi.org/10.1051/bioconf/202519300071/pdf
Primary Topic
Leprosy Research and Treatment
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Measuring Patient Delay in Leprosy Detection According to Initial Health-Seeking Behavior in Indonesia

Dharminto Dharminto, Atik Mawarni, Yudhy Dharmawan
Springer Link (Chiba Institute of Technology)
Leprosy Research and Treatment
article

Measuring Patient Delay in Leprosy Detection According to Initial Health-Seeking Behavior in Indonesia

Dharminto Dharminto, Atik Mawarni, Yudhy Dharmawan
article en

Abstract

Leprosy is a public health problem causing permanent disability, with visible impairments classified as grade 2 disability (G2D). This problem is associated with case detection delay (CDD), which comprises patient and health system delays. Patient delay is caused by the initial health-seeking behavior of people with leprosy. This study aims to measure the duration of patient delay according to the initial health-seeking behavior. This study employed a cross-sectional approach. Data were collected through interviews with leprosy patients. Statistical analysis was conducted to measure and compare the duration of patient delay according to the types of initial health-seeking behaviors. These behaviors were categorized into three types: visiting appropriate healthcare services (38.1%), engaging in self-medication and seeking inappropriate medicine and healthcare services (45,2%), and taking no action (16.7%). The mean duration of patient delay was 9.7 months. The longest patient delay was due to self-medication and seeking inappropriate treatment (10.8 months). There was no significant difference in patient delay according to the initial health-seeking behavior of people with leprosy (p = 0.051). Community awareness of leprosy needs to be improved through health education to reduce the duration of patient delay.

Springer Link (Chiba Institute of Technology)
Quality Education
Openalex Percentile: Top 27%
Leprosy Research and Treatment
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.