Addressing multimorbidity in Leprosy: A retrospective chart review from India

Leprosy remains a public health challenge in India, with many individuals continuing to experience physical disability, stigma, and psychosocial burden despite being cured. While co-occurrence of individual comorbidities such as diabetes and depression has been reported, the prevalence and patterns of multimorbidity among persons affected by leprosy remain poorly documented.

We conducted a mixed-methods study across six tertiary referral hospitals of The Leprosy Mission in India during 2021-2022. Quantitative data were extracted from electronic medical records of 10,428 adults affected by leprosy, including clinical details, random blood sugar, haemoglobin, cataract assessment, and wellbeing status measured using the WHO-5 index. Multimorbidity was defined as the presence of ≥2 conditions in addition to leprosy. Logistic regression was used to identify associated factors. Qualitative data were collected through focus group discussions (FGDs) with 16 persons affected by leprosy and 14 healthcare providers and analyzed thematically.

Leprosy alone was present in 81.9% of participants, while 16.4% had one additional condition, and 1.7% experienced multimorbidity. Diabetes was the most frequent comorbidity (9.3%), followed by poor wellbeing (5.6%) and cataract (1.5%). Increasing age, male gender, and disability were significantly associated with multimorbidity. FGDs revealed limited awareness of multimorbidity, challenges in accessing integrated care, financial barriers, and absence of flexible guidelines for management.

Although relatively uncommon (1.7%), multimorbidity among persons with leprosy poses substantial challenges. Diabetes, mental health concerns, and malnutrition highlight the need for integrated, person-centred care models. Strengthening primary healthcare, enhancing screening, and developing multimorbidity-sensitive guidelines are essential to improve outcomes, reduce stigma, and promote holistic wellbeing in this marginalized population.