Knowledge, attitudes and practices regarding antimicrobial use and resistance among healthcare seekers in two tertiary hospitals in Ghana: a quasi-experimental study.

OBJECTIVE: To evaluate knowledge of antimicrobial resistance (AMR), to study how the judgement of health value (HVJ) and economic value (EVJ) affects antibiotic use, and to understand if access to information on AMR implications may influence perceived AMR mitigation strategies. DESIGN: A quasi-experimental study with interviews performed before and after an intervention where hospital staff collected data and provided one group of participants with information about the health and economic implications of antibiotic use and resistance compared with a control group not receiving the intervention. SETTING: Korle-Bu and Komfo Anokye Teaching Hospitals, Ghana. PARTICIPANTS: Adult patients aged 18 years and older seeking outpatient care. MAIN OUTCOME MEASURES: We measured three outcomes: (1) level of knowledge of the health and economic implications of AMR; (2) HVJ and EVJ behaviours influencing antibiotic use and (3) differences in perceived AMR mitigation strategy between participants exposed and not exposed to the intervention. RESULTS: Most participants had a general knowledge of the health and economic implications of antibiotic use and AMR. Nonetheless, a sizeable proportion disagreed or disagreed to some extent that AMR may lead to reduced productivity/indirect costs (71% (95% CI 66% to 76%)), increased provider costs (87% (95% CI 84% to 91%)) and costs for carers of AMR patients/societal costs (59% (95% CI 53% to 64%)). Both HVJ-driven and EVJ-driven behaviours influenced antibiotic use, but the latter was a better predictor (reliability coefficient >0.87). Compared with the unexposed group, participants exposed to the intervention were more likely to recommend restrictive access to antibiotics (p<0.01) and pay slightly more for a health treatment strategy to reduce their risk of AMR (p<0.01). CONCLUSION: There is a knowledge gap about antibiotic use and the implications of AMR. Access to AMR information at the point of care could be a successful way to mitigate the prevalence and implications of AMR.

Screening tools for predicting mortality of adults with suspected sepsis: an international sepsis cohort validation study.

OBJECTIVES: We evaluated the performance of commonly used sepsis screening tools across prospective sepsis cohorts in the USA, Cambodia and Ghana. DESIGN: Prospective cohort studies. SETTING AND PARTICIPANTS: From 2014 to 2021, participants with two or more SIRS (Systemic Inflammatory Response Syndrome) criteria and suspected infection were enrolled in emergency departments and medical wards at hospitals in Cambodia and Ghana and hospitalised participants with suspected infection were enrolled in the USA. Cox proportional hazards regression was performed, and Harrell's C-statistic calculated to determine 28-day mortality prediction performance of the quick Sequential Organ Failure Assessment (qSOFA) score ≥2, SIRS score ≥3, National Early Warning Score (NEWS) ≥5, Modified Early Warning Score (MEWS) ≥5 or Universal Vital Assessment (UVA) score ≥2. Screening tools were compared with baseline risk (age and sex) with the Wald test. RESULTS: The cohorts included 567 participants (42.9% women) including 187 participants from Kumasi, Ghana, 200 participants from Takeo, Cambodia and 180 participants from Durham, North Carolina in the USA. The pooled mortality was 16.4% at 28 days. The mortality prediction accuracy increased from baseline risk with the MEWS (C-statistic: 0.63, 95% CI 0.58 to 0.68; p=0.002), NEWS (C-statistic: 0.68; 95% CI 0.64 to 0.73; p<0.001), qSOFA (C-statistic: 0.70, 95% CI 0.64 to 0.75; p<0.001), UVA score (C-statistic: 0.73, 95% CI 0.69 to 0.78; p<0.001), but not with SIRS (0.60; 95% CI 0.54 to 0.65; p=0.13). Within individual cohorts, only the UVA score in Ghana performed better than baseline risk (C-statistic: 0.77; 95% CI 0.71 to 0.83; p<0.001). CONCLUSIONS: Among the cohorts, MEWS, NEWS, qSOFA and UVA scores performed better than baseline risk, largely driven by accuracy improvements in Ghana, while SIRS scores did not improve prognostication accuracy. Prognostication scores should be validated within the target population prior to clinical use.