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Dataset Information

Measuring leprosy case detection delay and associated factors in Indonesia: a community-based study.


ABSTRACT:

Background

Leprosy is a public health burden in Indonesia with a high number of new cases every year and a high proportion of disability among new cases. Case detection delay (CDD) can contribute to ongoing transmission and increased disability chances among leprosy patients. This study aimed to establish the CDD of leprosy and the factors associated with detection delay in Indonesia.

Method

Community-based study with a cross-sectional design. Data were collected through interviews about sociodemographic and behavioral factors, anticipated stigma, and duration of CDD. Leprosy classification and case detection methods were obtained from health service records. A random sample was taken of 126 leprosy patients registered between 1st October 2020 and 31st March 2022 in the Tega

SUBMITTER: Dharmawan Y 

PROVIDER: S-EPMC10464084 | biostudies-literature | 2023 Aug

REPOSITORIES: biostudies-literature