Limitations in activities of people affected by leprosy after completing multidrug therapy: application of the SALSA scale

Objectives: To identify people affected by leprosy with impairments after completing multidrug therapy for leprosy, and to assess their limitations in conducting daily activities by applying the Screening of Activity Limitation and Safety Awareness (SALSA) scale. Methods: A cross-sectional study was performed of all residents of a medium-sized city who were treated for leprosy from 1998 to 2006. A specific questionnaire was applied to obtain general and clinical data and the SALSA scale was used to assess limitations in activities. Impairments were assessed using the 'World Health Organization leprosy disability grading system' (WHO-DG). Findings: Of the 335 people affected by leprosy treated in the period, 223 (62.1%) were located and interviewed. A total of 51.6% were female with a mean age of 54 years (SD +/- 15.72) and 67.9% had up to 6 years formal education. The borderline form predominated among interviewees (39.9%) and 54.3% suffer from associated diseases with hypertension (29.1%) and diabetes (10.3%) being the most common. Pain was reported by 54.7% of interviewees. By multiple logistic regression analysis, associations were found between limitations in activities and being female (P < 0.025), family income <= 3 minimum wages (P-value < 0.003), reports of major lesions (P-value < 0.004), pain (P-value < 0.001), associated diseases (P-value < 0.023) and the WHO-DG (P-value < 0.001). Disabilities, as identified using the WHO-DG, were less common (32%) than limitations in activities as evaluated by the SALSA scale (57.8%). Conclusion: Limitations in activities proved to be common in people affected by leprosy and were. associated with low income, being female, reported major lesions, disability, disease and pain.

Spatial analysis of leprosy incidence and associated socioeconomic factors

OBJECTIVE: To identify clusters of the major occurrences of leprosy and their associated socioeconomic and demographic factors. METHODS: Cases of leprosy that occurred between 1998 and 2007 in Sao Jose do Rio Preto (southeastern Brazil) were geocodified and the incidence rates were calculated by census tract. A socioeconomic classification score was obtained using principal component analysis of socioeconomic variables. Thematic maps to visualize the spatial distribution of the incidence of leprosy with respect to socioeconomic levels and demographic density were constructed using geostatistics. RESULTS: While the incidence rate for the entire city was 10.4 cases per 100,000 inhabitants annually between 1998 and 2007, the incidence rates of individual census tracts were heterogeneous, with values that ranged from 0 to 26.9 cases per 100,000 inhabitants per year. Areas with a high leprosy incidence were associated with lower socioeconomic levels. There were identified clusters of leprosy cases, however there was no association between disease incidence and demographic density. There was a disparity between the places where the majority of ill people lived and the location of healthcare services. CONCLUSIONS: The spatial analysis techniques utilized identified the poorer neighborhoods of the city as the areas with the highest risk for the disease. These data show that health departments must prioritize politico-administrative policies to minimize the effects of social inequality and improve the standards of living, hygiene, and education of the population in order to reduce the incidence of leprosy.

Identification of Urban Leprosy Clusters

Overpopulation of urban areas results from constant migrations that cause disordered urban growth, constituting clusters defined as sets of people or activities concentrated in relatively small physical spaces that often involve precarious conditions. Aim. Using residential grouping, the aim was to identify possible clusters of individuals in São José do Rio Preto, Sao Paulo, Brazil, who have or have had leprosy. Methods. A population-based, descriptive, ecological study using the MapInfo and CrimeStat techniques, geoprocessing, and space-time analysis evaluated the location of 425 people treated for leprosy between 1998 and 2010. Clusters were defined as concentrations of at least 8 people with leprosy; a distance of up to 300 meters between residences was adopted. Additionally, the year of starting treatment and the clinical forms of the disease were analyzed. Results. Ninety-eight (23.1%) of 425 geocoded cases were located within one of ten clusters identified in this study, and 129 cases (30.3%) were in the region of a second-order cluster, an area considered of high risk for the disease. Conclusion.This study identified ten clusters of leprosy cases in the city and identified an area of high risk for the appearance of new cases of the disease.