- Authors: Baltazar Candrinho, Chandana Mendis, João Pinto, Jorge A. H. Arroz, Maria do Rosário O Martins, Pablo Varela
- Publication Year: 2018
- Journal: Malaria Journal
- Link: https://link.springer.com/epdf/10.1186/s12936-018-2217-5?author_access_token=mbLKH79b1IvBS7R2VWfZzm_BpE1tBhCbnbw3BuzI2RNDKvB1mD1uBB_QQsbm9ICV5Tw9kPsIeSZ6diOXQ-J5PjOXVpHLrpbF20Vyk6-PZCaGbB5UvBddJLr0qPFdluxKP_bS2mHkYl8txPWwyl1Aww%3D%3D
In 2015, Mozambique piloted a new model of long-lasting insecticidal nets (LLINs) delivery in a
campaign. The new delivery model was used in two rural districts were, and two others were considered as control,
maintaining the old delivery model. The aim of this study is to compare the coverage of ownership and use of LLINs in intervention and control districts in Mozambique.
A before-after design with control group was carried out 6 months after LLINs distribution. Using systematic probabilistic sampling, 1547 households were surveyed by means of a questionnaire. To find associations
between the district categories (intervention and control) and the main outcomes of the study (LLIN ownership, use,
and universal coverage achievement), odds ratio (OR) and respective confidence intervals were calculated.
Of the 760 households surveyed in the intervention districts, 98.8% had at least one LLIN; of the 787
households surveyed in the control districts, 89.6% had at least one LLIN [OR: 9.7, 95% (CI 4.84–19.46)]. Around 95
and 87% of households owning at least one LLIN reported having slept under the LLIN the previous night in the
intervention and control districts, respectively [OR: 3.2; 95% (CI 2.12–4.69)]. Seventy-one percent of the households
surveyed achieved universal coverage in the intervention districts against 59.6% in the control districts [OR: 1.6; 95%
The universal coverage campaign piloted with the new delivery model has increased LLINs ownership, use, and progression for reaching universal coverage targets in the community.
Long-lasting insecticidal nets campaign, Universal coverage, New and old delivery model, Before-after