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International journal of environmental research and public health ; 19(7), 2022.
Article in English | EuropePMC | ID: covidwho-1781154

ABSTRACT

Healthcare-associated infections (HAIs) result in millions of avoidable deaths or prolonged lengths of stay in hospitals and cause huge economic loss to health systems and communities. Primarily, HAIs spread through the hands of healthcare workers, so improving hand hygiene can reduce their spread. We evaluated hand hygiene practices and promotion across 13 public health hospitals (six secondary and seven tertiary hospitals) in the Western Area of Sierra Leone in a cross-sectional study using the WHO hand hygiene self-Assessment framework in May 2021. The mean score for all hospitals was 273 ± 46, indicating an intermediate level of hand hygiene. Nine hospitals achieved an intermediate level and four a basic level. More secondary hospitals 5 (83%) were at the intermediate level, compared to tertiary hospitals 4 (57%). Tertiary hospitals were poorly rated in the reminders in workplace and institutional safety climate domains but excelled in training and education. Lack of budgets to support hand hygiene implementation is a priority gap underlying this poor performance. These gaps hinder hand hygiene practice and promotion, contributing to the continued spread of HAIs. Enhancing the distribution of hand hygiene resources and encouraging an embedded culture of hand hygiene practice in hospitals will reduce HAIs.

3.
Trop Med Infect Dis ; 6(4)2021 Nov 30.
Article in English | MEDLINE | ID: covidwho-1596315

ABSTRACT

India launched a national community-based active TB case finding (ACF) campaign in 2017 as part of the strategic plan of the National Tuberculosis Elimination Programme (NTEP). This review evaluated the outcomes for the components of the ACF campaign against the NTEP's minimum indicators and elicited the challenges faced in implementation. We supplemented data from completed pretested data proformas returned by ACF programme managers from nine states and two union territories (for 2017-2019) and five implementing partner agencies (2013-2020), with summary national data on the state-wise ACF outcomes for 2018-2020 published in annual reports by the NTEP. The data revealed variations in the strategies used to map and screen vulnerable populations and the diagnostic algorithms used across the states and union territories. National data were unavailable to assess whether the NTEP indicators for the minimum proportions identified with presumptive TB among those screened (5%), those with presumptive TB undergoing diagnostic tests (>95%), the minimum sputum smear positivity rate (2% to 3%), those with negative sputum smears tested with chest X-rays or CBNAAT (>95%) and those diagnosed through ACF initiated on anti-TB treatment (>95%) were fulfilled. Only 30% (10/33) of the states in 2018, 23% (7/31) in 2019 and 21% (7/34) in 2020 met the NTEP expectation that 5% of those tested through ACF would be diagnosed with TB (all forms). The number needed to screen to diagnose one person with TB (NNS) was not included among the NTEP's programme indicators. This rough indicator of the efficiency of ACF varied considerably across the states and union territories. The median NNS in 2018 was 2080 (interquartile range or IQR 517-4068). In 2019, the NNS was 2468 (IQR 1050-7924), and in 2020, the NNS was 906 (IQR 108-6550). The data consistently revealed that the states that tested a greater proportion of those screened during ACF and used chest X-rays or CBNAAT (or both) to diagnose TB had a higher diagnostic yield with a lower NNS. Many implementation challenges, related to health systems, healthcare provision and difficulties experienced by patients, were elicited. We suggest a series of strategic interventions addressing the implementation challenges and the six gaps identified in ACF outcomes and the expected indicators that could potentially improve the efficacy and effectiveness of community-based ACF in India.

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