Outcomes from the first 2 years of the Australian National Hand Hygiene Initiative.

OBJECTIVE: To report outcomes from the first 2 years of the National Hand Hygiene Initiative (NHHI), a hand hygiene (HH) culture-change program implemented in all Australian hospitals to improve health care workers' HH compliance, increase use of alcohol-based hand rub and reduce the risk of health care-associated infections. DESIGN AND SETTING: The HH program was based on the World Health Organization 5 Moments for Hand Hygiene program, and included standardised educational materials and a regular audit system of HH compliance. The NHHI was implemented in January 2009. MAIN OUTCOME MEASURES: HH compliance and Staphylococcus aureus bacteraemia (SAB) incidence rates 2 years after NHHI implementation. RESULTS: In late 2010, the overall national HH compliance rate in 521 hospitals was 68.3% (168,641/246,931 moments), but HH compliance before patient contact was 10%-15% lower than after patient contact. Among sites new to the 5 Moments audit tool, HH compliance improved from 43.6% (6431/14,740) at baseline to 67.8% (106,851/157,708) (P < 0.001). HH compliance was highest among nursing staff (73.6%; 116,851/158,732) and worst among medical staff (52.3%; 17,897/34,224) after 2 years. National incidence rates of methicillin-resistant SAB were stable for the 18 months before the NHHI (July 2007-2008; P = 0.366), but declined after implementation (2009-2010; P = 0.008). Annual national rates of hospital-onset SAB per 10,000 patient-days were 1.004 and 0.995 in 2009 and 2010, respectively, of which about 75% were due to methicillin-susceptible S. aureus. CONCLUSIONS: The NHHI was associated with widespread sustained improvements in HH compliance among Australian health care workers. Although specific linking of SAB rate changes to the NHHI was not possible, further declines in national SAB rates are expected.

Investigating apparent variation in quality of care: the critical role of clinician engagement.

This article reports the experience of the Victorian Department of Health in seeking clinician engagement in the testing of 11 quality-of-care indicators in 20 health services in Victoria. The Department previously developed a suite of 18 core indicators and seven subindicators known as the AusPSI set. We used routinely collected administrative data from the Victorian Admitted Episodes Dataset to produce variable life-adjusted display (VLAD) control charts for 11 selected indicators. The Department recognises that clinicians are responsible for the safety and quality of the care they provide, and therefore the necessity of engaging clinicians in the process of investigating apparent variation in patient care. Although using readily available and inexpensive routinely collected administrative data to measure clinical performance has a certain appeal, the use of administrative data and VLADs to identify apparent variations has posed significant challenges due to concerns about the quality of the data and resource requirements. When clinicians at a major Melbourne hospital were engaged, it resulted in an improvement in clinical practice. Investigating apparent variation in patient care provides an ideal opportunity for emerging clinical leaders to take local ownership and develop expertise in investigating apparent variation in processes of care and implementing change as required.

Impact of pandemic (H1N1) 2009 influenza on critical care capacity in Victoria.

OBJECTIVE: To describe the demand for critical care hospital admissions in Victoria resulting from the rapid rise in the number of pandemic (H1N1) 2009 influenza cases, and to describe the role of modelling tools to assist with the response to the pandemic. DESIGN AND SETTING: Prospective modelling with the tools FluSurge 2.0 and FluAid 2.0 (developed by the United States Centers for Disease Control and Prevention) over 12 weeks from when the pandemic "Contain" Phase was declared on 22 May 2009, compared with data obtained from daily hospital reports of pandemic (H1N1) 2009 influenza-related admissions and transfers to intensive care units (ICUs). MAIN OUTCOME MEASURES: The effect on hospitals as projected by the FluAid 2.0 model compared with observed hospital admissions and ICU admissions. RESULTS: Prospective use of the FluAid 2.0 model provided valuable health intelligence for assessment and projection of hospitalisation and critical care demand through the first 10 weeks of the pandemic in Victoria. The observed rate of hospital admissions for pandemic (H1N1) 2009 was broadly consistent with a 5% gross clinical attack rate, with 0.3% of infected patients being hospitalised. Transfers to ICUs occurred at a rate of 20% of hospital admissions, and were associated with vulnerable patient groups, and severe respiratory failure in 82% of patients admitted to ICUs. Most patients treated in ICUs (85%) survived after an average ICU length of stay of 9 days (SD, 6.5 days). Mechanical ventilation was required by 72% of patients admitted to ICUs, and extracorporeal membrane oxygenation (ECMO) was used for 7%. Pre-existing haematological malignancy accounted for half of all the deaths in patients admitted to ICUs with pandemic (H1N1) 2009 influenza. CONCLUSIONS: Prospective use of modelling tools informed critical decisions in the planning and management of the pandemic. Early estimation of the clinical attack rate, hospitalisation rates, and demand for ICU beds guided implementation of surge capacity. ECMO emerged as an important treatment modality for pandemic (H1N1) 2009 influenza, and will be an important consideration for future pandemic planning.

The AusPSIs: the Australian version of the Agency of Healthcare Research and Quality patient safety indicators.

Many countries are seeking ways to measure the safety and performance of their health systems. The ability to track improvement and monitor safety event rates at a population level is provided by routinely collected administrative data in conjunction with a set of well-developed indicators such as the patient safety indicators from the Agency for Healthcare Research and Quality (AHRQ) in the United States of America. These indicators are currently in the International Classification of Diseases Ninth Revision, Clinical Modification (ICD-9-CM) whereas Australia has coded its data in ICD-10-Australian Modification (ICD-10-AM) since 1998. We describe the process recently undertaken to translate and revise the patient safety indicators (PSIs) so they can be of use with ICD-10-AM. The initial translation (electronic mapping, review and revision by expert coder, programming of codes and testing on data from 1996-1998 [ICD 9-CM] to 1998-2006 [ICD-10-AM, through 4 editions]) found that differences between ICD-9-CM and ICD-10-AM datasets presented some challenges. After this phase, which was faithful to AHRQ's case definitions, the indicators were refined for use with the condition onset flag, resulting in the AusPSIs.