Abstract

Healthcare-associated infection (HAI) is associated with increased morbidity and mortality resulting in excess costs. To investigate the impact of all types of HAI on the inpatient cost of HAI using different approaches. The incidence, types of HAI, and excess length of stay were estimated using data collected as part of the Evaluation of Cost of Nosocomial Infection (ECONI) study. Scottish NHS reference costs were used to estimate unit costs for bed-days. Variable (cash) costs associated with infection prevention and control (IPC) measures and treatment were calculated for each HAI type and overall. The inpatient cost of HAI is presented in terms of bed-days lost, bed-day costs, and cash costs. In Scotland 58,010 (95% confidence interval: 41,730-74,840) bed-days were estimated to be lost to HAI during 2018/19, costing £46.4 million (19m-129m). The total annual cost in the UK is estimated to be £774 million (328m-2,192m). Bloodstream infection and pneumonia were the most costly HAI types per case. Cash costs are a small proportion of the total cost of HAI, contributing 2.4% of total costs. Reliable estimates of the cost burden of HAI management are important for assessing the cost-effectiveness of IPC programmes. This unique study presents robust economic data, demonstrating that HAI remains a burden to the UK NHS and bed-days capture the majority of inpatient costs. These findings can be used to inform the economic evaluation and decision analytic modelling of competing IPC programmes at local and national level.

Highlights

  • Healthcare-associated infection (HAI) represents a major issue for health services, patients, and public authorities [1]

  • This study presents new information for healthcare decision-makers which can inform economic decision-making for competing infection prevention and control (IPC) programmes locally and nationally

  • These are based on the total annual admissions to teaching and general hospitals in NHS Scotland in 2018/19

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Summary

Introduction

Healthcare-associated infection (HAI) represents a major issue for health services, patients, and public authorities [1]. The last study to do this for the UK by Plowman et al found HAI to be a considerable burden, equivalent of 9.1% of the total 1994/5 inpatient acute, obstetric, and geriatric programme budget in England [6]. These cost estimates arose from methods that did not account for the time-varying nature of HAI and are likely to have been overestimated [7]. Accurate and current information is needed to optimize decisionmaking when selecting between competing IPC programmes to ensure the most efficient programmes are implemented [10,11]

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