Publications by authors named "P Nhassengo"

Background: In 2021, there were approximately 450,000 cases of drug-resistant tuberculosis (DR-TB) worldwide. The treatment of DR-TB historically included expensive and toxic injectable drugs leading to adverse effects including ototoxicity and Electrocardiogram (ECG) abnormalities. This study described the perspectives of healthcare providers and people with DR-TB on the usability of simplified audiometry and ECG for monitoring treatment adverse effects.

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Tuberculosis is recognised as a disease of the economically disadvantaged people due to its association with financial vulnerability. Mozambique still faces the challenge of the high burden of TB and associated costs. We aimed to understand the social and economic impacts of TB and the need for social support among people with TB in Mozambique.

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Spirometry is considered relevant for the diagnosis and monitoring of post-TB lung disease. However, spirometry is rarely done in newly diagnosed TB patients. Newly diagnosed, microbiologically confirmed TB patients were recruited for the study.

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Objective: People with tuberculosis (TB) and their households face severe socioeconomic consequences, which will only be mitigated by intersectoral collaboration, especially between the health and social sectors. Evidence suggests that key factors for successful collaboration include shared goals, trust, commitment, resource allocation, efficient processes and effective communication and motivation among collaborating parties. This study aimed to understand healthcare and social support sector policymakers' perspectives on potential solutions to mitigate financial impact among people with TB and their households in Mozambique.

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Background: Malaria prevention in Africa merits particular attention as the world strives toward a better life for the poorest. The insecticide-treated bed nets (ITNs) are one of the malaria control strategies that, due to their cost effectiveness, are largely used in the country. Data on the actual coverage and usage of bed nets is unreliable, as it is based only on administrative data from distributed ITNs.

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