Defining best practice and measuring compliance with standards for the management of infection is challenging. Quality indicators (QIs), many of which measure process, are being increasingly developed to address these challenges [1– 4], in some cases using a “bundle” approach where compliance is measured as “all or nothing” [5]. One could argue that these process measures end up measuring what can be measured rather than what should be measured [6]. It is therefore desirable to define clinical outcome measures that are sensitive to changes in the quality of care, for example to increased compliance with QIs. This presents significant challenges, but demonstrating links between process and outcome is necessary to convince clinicians and allow more meaningful external scrutiny [6]. Mortality, defined in a number of ways, is one of the most objective clinical outcome measures, but its application where an infection is associated with a low mortality rate, such as urinary tract infection (UTI), is limited. Very large sample sizes are required to demonstrate any significant changes and there is likely to be significant confounding by indication (the sickest patients who receive the best care are still most likely to die). Length of hospital stay (LOS), a continuous variable applicable to all patients, should theoretically be more sensitive to changes in practice. Although subject to numerous confounders, significant associations between increased guideline adherence and decreased LOS have been demonstrated in community-acquired pneumonia [7]. In this issue of Clinical Infectious Diseases, Spoorenberg and colleagues [8] report the findings of a large retrospective observational multicenter cohort study to evaluate whether adherence to a set of QIs defining appropriate antibiotic management for patients with complicated UTI was associated with LOS, the primary outcome measure. The 4 QIs were as follows: (1) perform a urine culture before starting treatment; (2) prescribe empirical treatment in accordance with the national guideline ([2B] prescribe empirical treatment in accordance with the local guideline); (3) switch from intravenous to oral treatment within 72 hours of starting treatment; and (4) tailor antibiotic treatment on the basis of culture results. Secondary outcome measures were intensive care unit (ICU) admission and in-hospital mortality. Adherence to the second (2B only) and third QI individually was associated with reduced adjusted LOS among patients qualifying for each indicator. There was also a reported statistically significant, stepwise reduction in LOS associated with increasing proportional adherence to applicable QIs. Assessment of the impact of QI adherence on ICU admission and inhospital mortality was limited by small numbers, although there was a reported significant association between prescribing in accordance with local guidelines and reduced ICU admissions. The strengths of this study include the large sample size and inclusion of patients from different settings. The quality indicators are rational and measurable and have been previously validated [1]. Using multilevel analysis is appropriate because discharge practices will differ by department and hospital independent of patient characteristics. However, the statistical analysis of LOS is often difficult due to nonnormal distribution, habitually including many outliers, [9] and it is not clear whether this was considered in the statistical modeling. Several other limitations also affect the interpretation and generalizability of the study findings. In all retrospective studies, case ascertainment bias is an important potential threat, Received and accepted 7 October 2013; electronically published 24 October 2013. Correspondence: Charis A. Marwick, PhD, Ninewells Hospital and Medical School, East Block, Dundee, Tayside, DD1 9SY, UK (c.z.marwick@dundee.ac.uk). Clinical Infectious Diseases 2014;58(2):170–2 © The Author 2013. Published by Oxford University Press on behalf of the Infectious Diseases Society of America. All rights reserved. For Permissions, please e-mail: journals. permissions@oup.com. DOI: 10.1093/cid/cit690
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