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

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 Tegal regency in the Central Java Province. Data were analysed by descriptive and analytical statistics using multiple linear regression. RESULTS: The mean CDD, patient delay, and health system delay were 13.0 months, 9.7 months, and 3.2 months, respectively. Factors associated with longer CDD are younger age (below 35 years), male, found through passive case detection, and not having a family member with leprosy. Factors associated with longer patient delay were being younger (below 35 years), being male, not having a family member with leprosy, and anticipated stigma of leprosy. It was not possible to reliably identify factors associated with health system delay. CONCLUSION: CDD in leprosy should be reduced in Indonesia. The Indonesian National Leprosy Control Program (NLCP) is advised to adopt an integrated intervention programme combining active case detection with targeted health education to reduce CDD and thereby preventing disabilities in people affected by leprosy.

Strategies to promote the use of online health applications for early detection and raising awareness of chronic diseases among members of the general public: A systematic literature review.

INTRODUCTION: Engagement is essential to achieve intended outcomes of online interventions, but achieving such engagement is a key challenge for many researchers and practitioners. This systematic literature review aims to identify strategies and tools to promote the use of online health interventions for early detection and raising awareness of chronic diseases among the public, and to investigate the evidence regarding the effectiveness of such strategies. MATERIALS AND METHODS: We performed a systematic search of seven electronic databases: Embase, Medline All Ovid, Web of Science, Cochrane Central Register of Controlled Trials, PsycINFO, CINAHL and Google Scholar. The study protocol is registered in PROSPERO (CRD42020200471). RESULTS: The database search identified 8,526 articles, 47 were included in the review. Thirty-two studies reported strategies to promote the use of their online intervention, including online advertisements on social media (n = 17), a dating application (n = 10), and a website (n = 3). Social media were not only used for promotion of the intervention, but also as main intervention platform (n = 18). Seven studies reported traditional promotion methods such as printed advertisement and (offline) campaigns. Twenty-seven studies reported strategies to keep users engaged, including reminders (n = 12), sharing of posts on social media (n = 4), rewards (n = 3), weekly group discussions (n = 2), follow-up phone calls (n = 2), interactive games (n = 1), monthly quizzes (n = 1), links to provision of a test kit (n = 1), and a deposit-return system (n = 1). CONCLUSIONS: No study conducted a formal evaluation of the effectiveness of the engagement strategies. Examining the effectiveness of engagement strategies is an important area for further research.