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1.
Lancet Reg Health West Pac ; 48: 101120, 2024 Jul.
Article in English | MEDLINE | ID: mdl-38993540

ABSTRACT

Background: Healthcare-associated infections (HAI) and antimicrobial use (AMU) are drivers for antimicrobial resistance, and robust data are required to inform interventions and track changes. We aimed to estimate the prevalence of HAI and AMU at Port Moresby General Hospital (PMGH), the largest hospital in Papua New Guinea. Methods: We did a point prevalence survey (PPS) on HAI and AMU at PMGH in May 2023 using the European Centre for Disease Prevention and Control (ECDC) PPS protocol. We included all critical care patients and randomly sampled half of the patients in other acute-care wards. We calculated weighted HAI and AMU prevalence estimates to account for this sampling strategy. Weighted HAI estimates were also calculated for an expanded definition that included physician diagnosis. Findings: Of 361 patients surveyed in 18 wards, the ECDC protocol identified 28 HAIs in 26 patients, resulting in a weighted HAI prevalence of 6.7% (95% CI: 4.6, 9.8). Surgical site infections (9/28, 32%) were the most common HAI. When adding physician diagnosis to the ECDC definitions, more skin and soft tissue, respiratory, and bloodstream HAIs were detected, and the weighted HAI prevalence was 12.4% (95% CI: 9.4, 16.3). The prevalence of AMU was 66.5% (95%CI: 61.3, 71.2), and 73.2% (263/359) of antibiotics were from the World Health Organization Access group. Interpretation: This is the first reported hospital PPS of HAI and AMU in Papua New Guinea. These results can be used to prioritise interventions, and as a baseline against which future point prevalence surveys can be compared. Funding: Australian Government Department of Foreign Affairs and Trade and Therapeutic Guidelines Limited Australia.

2.
BMJ Glob Health ; 9(1)2024 01 16.
Article in English | MEDLINE | ID: mdl-38232993

ABSTRACT

Antimicrobial resistance (AMR) is an urgent and growing global health concern, and a clear understanding of existing capacities to address AMR, particularly in low-income and middle-income countries (LMICs), is needed to inform national priorities, investment targets and development activities. Across LMICs, there are limited data regarding existing mechanisms to address AMR, including national AMR policies, current infection prevention and antimicrobial prescribing practices, antimicrobial use in animals, and microbiological testing capacity for AMR. Despite the development of numerous individual tools designed to inform policy formulation and implementation or surveillance interventions to address AMR, there is an unmet need for easy-to-use instruments that together provide a detailed overview of AMR policy, practice and capacity. This paper describes the development of a framework comprising five assessment tools which provide a detailed assessment of country capacity to address AMR within both the human and animal health sectors. The framework is flexible to meet the needs of implementers, as tools can be used separately to assess the capacity of individual institutions or as a whole to align priority-setting and capacity-building with AMR National Action Plans (NAPs) or national policies. Development of the tools was conducted by a multidisciplinary team across three phases: (1) review of existing tools; (2) adaptation of existing tools; and (3) piloting, refinement and finalisation. The framework may be best used by projects which aim to build capacity and foster cross-sectoral collaborations towards the surveillance of AMR, and by LMICs wishing to conduct their own assessments to better understand capacity and capabilities to inform future investments or the implementation of NAPs for AMR.


Subject(s)
Anti-Bacterial Agents , Anti-Infective Agents , Animals , Humans , Anti-Bacterial Agents/therapeutic use , Drug Resistance, Bacterial , Policy , Capacity Building
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