ArticlePLOS global public health2026
Delayed diagnosis as a barrier to Zero Leprosy: Lived experiences from Pakistan.
Article in PLOS global public health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
1 citing paper in PubMed.
- Epidemiological profile of leprosy cases at Nazareti Leprosy Center, Tanzania: A retrospective analysis (2000-2024).PLoS neglected tropical diseases · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
11 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Despite progress in leprosy control, delayed diagnosis remains a barrier to achieving Zero Leprosy, particularly in low-endemic settings. Diagnostic delay not only sustains hidden transmission but also leads to preventable disability and lifelong consequences for affected individuals. Pakistan, although classified as low endemic, continues to report a high proportion of new leprosy cases presenting with grade 2 disability (G2D), indicating delays in case detection. This study explored the reasons for delayed leprosy diagnosis in Pakistan and participant-suggested strategies to reduce delay, from the perspective of persons presenting with visible disability. A qualitative study was conducted using semi-structured interviews with persons affected by leprosy who presented with G2D at diagnosis. Participants were recruited through leprosy service providers in Pakistan. Interviews explored care-seeking pathways, experiences with the health system, stigma, and perceived barriers to timely diagnosis. Audio-recorded interviews were transcribed and analysed using thematic analysis, with attention to the interpreter-mediated nature of some participant accounts. Participants described prolonged diagnostic pathways marked by repeated healthcare visits, misdiagnosis, inappropriate treatment, and referrals between multiple providers before receiving a leprosy diagnosis. Limited awareness of leprosy among the public and frontline healthcare workers was a contributor to delay. Stigma emerged as both a cause and a consequence of delayed diagnosis, influencing disclosure, care-seeking behaviour, and social interactions. Structural barriers, fragmented service provision, financial constraints, and the absence of a national leprosy control programme, further compounded delays, resulting in diagnosis only after the onset of visible deformities. Diagnostic delay in Pakistan is driven by intersecting individual, social, and health system factors and remains an obstacle to preventing disability and interrupting transmission. From a Zero Leprosy perspective, reducing diagnostic delay is a clinical, programmatic and ethical imperativ. Strengthening awareness, improving health worker training, decentralising diagnostic services, and integrating person-centred psychosocial support can advance early detection and disability prevention.
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.