Anthony Morton

Overcrowding and understaffing in modern health-care systems: Key determinants in meticillin-resistant Staphylococcus aureus transmission

Recent decades have seen the global emergence of meticillin-resistant Staphylococcus aureus (MRSA), causing substantial health and economic burdens on patients and health-care systems. This epidemic has occurred at the same time that policies promoting higher patient throughput in hospitals have led to many services operating at, or near, full capacity. A result has been limited ability to scale services according to fluctuations in patient admissions and available staff, and hospital overcrowding and understaffing. Overcrowding and understaffing lead to failure of MRSA control programmes via decreased health-care worker hand-hygiene compliance, increased movement of patients and staff between hospital wards, decreased levels of cohorting, and overburdening of screening and isolation facilities. In turn, a high MRSA incidence leads to increased inpatient length of stay and bed blocking, exacerbating overcrowding and leading to a vicious cycle characterised by further infection control failure. Future decision making should use epidemiological and economic evidence to evaluate the effect of systems changes on the incidence of MRSA infection and other adverse events.

Monitoring the Evolutionary Process of Quality: Risk-Adjusted Charting to Track Outcomes in Intensive Care

OBJECTIVE To present graphical procedures for prospectively monitoring outcomes in the intensive care unit. DESIGN Observational study: risk-adjusted control chart analysis of a case series. SETTING Tertiary referral adult intensive care unit: Princess Alexandra Hospital, Brisbane, Australia. PATIENTS A total of 3398 intensive care unit admissions from January 1, 1995, to January 1, 1998. CONCLUSIONS Risk-adjusted process control charting procedures for continuous monitoring of intensive care unit outcomes are proposed as quality management tools. A modified Shewhart p chart and cumulative sum process control chart, using the Acute Physiology and Chronic Health Evaluation III model mortality prediction for risk adjustment, are presented. The risk-adjusted p chart summarizes performance at arbitrary intervals and plots observed against predicted mortality rate to detect large changes in risk-adjusted mortality. The risk-adjusted cumulative sum procedure is a likelihood-based scoring method that adjusts for estimated risk of death, accumulating evidence from outcomes of all previous patients. It formally tests the hypothesis of a change in the odds of death. In this application, we detected a decrease from above to predicted risk-adjusted mortality. This was temporally related to increased senior staffing levels and enhanced ongoing multidisciplinary review of practice, quality improvement, and educational activities. Formulas and analyses are provided as appendices.

Bridging the gap between research and practice: review of a targeted hospital inpatient fall prevention programme

Objective: Falls among older inpatients are frequent and have negative consequences. In this study, the effectiveness of a fall prevention programme in reducing falls and fall injuries in an acute hospital was studied. Design: Retrospective audit. Setting: The Northern Hospital, an acute, metropolitan, hospital in Australia. Intervention: A multi-factorial fall prevention programme that included establishment of a multidisciplinary committee, risk assessment of all patients on “high-risk” wards and targeted interventions for patients identified as high risk. Main outcome measures: Fall and fall injury rates per 1000 occupied bed-days were analysed using generalised additive models (GAM) and, because of the presence of autocorrelation, generalised additive mixed models (GAMM), respectively. Results: During the 9-year observation of 271 095 patients, there were 2910 falls and 843 fall injuries. The GAM predicted rate of falls was stable in the 3 years after the programme was implemented, increased in 2006, then decreased between October 2006 and December 2007 from 4.13 (95% CI 3.65 to 4.67) to 2.83 (95% CI 2.24 to 3.59; p = 0.005). The GAMM predicted rate of fall injuries reduced from 1.66 (95% CI 1.24 to 2.21) to 0.61 (95% CI 0.43 to 0.88) after programme implementation (p<0.001). Conclusions: The falls rate varied throughout the observation period, and no significant change in the rate from preprogramme to postprogramme implementation was observed. The finding of no reduction in falls during the observation period may be explained by improved reporting throughout the observation period. The reduction in fall injuries was substantial and sustained. Identification of a local problem, use of a fall risk assessment to guide the delivery of simple interventions, integration of processes into daily clinical practice and creating systems that demand accountability of staff are factors that appear to have contributed to the programme’s success.

Surveillance of healthcare-acquired infections in Queensland, Australia: data and lessons from the first 5 years.

OBJECTIVE To present healthcare-acquired infection surveillance data for 2001-2005 in Queensland, Australia. DESIGN Observational prospective cohort study. SETTING Twenty-three public hospitals in Queensland. METHODS We used computer-assisted surveillance to identify episodes of surgical site infection (SSI) in surgical patients. The risk-adjusted incidence of SSI was calculated by means of a risk-adjustment score modified from that of the US National Nosocomial Infections Surveillance System, and the incidence of inpatient bloodstream infection (BSI) was adjusted for risk on the basis of hospital level (level 1, tertiary referral center; level 2, large general hospital; level 3, small general hospital). Funnel and Bayesian shrinkage plots were used for between-hospital comparisons. PATIENTS A total of 49,804 surgical patients and 4,663 patients who experienced healthcare-associated BSI. RESULTS The overall cumulative incidence of in-hospital SSI ranged from 0.28% (95% confidence interval [CI], 0%-1.54%) for radical mastectomies to 6.15% (95% CI, 3.22%-10.50%) for femoropopliteal bypass procedures. The incidence of inpatient BSI was 0.80, 0.28, and 0.22 episodes per 1,000 occupied bed-days in level 1, 2, and 3 hospitals, respectively. Staphylococcus aureus was the most commonly isolated microorganism for SSI and BSI. Funnel and shrinkage plots showed at least 1 hospital with a signal indicating a possible higher-than-expected rate of S. aureus-associated BSI. CONCLUSIONS Comparisons between hospitals should be viewed with caution because of imperfect risk adjustment. It is our view that the data should be used to improve healthcare-acquired infection control practices using evidence-based systems rather than to judge institutions.

Association of ertapenem and antipseudomonal carbapenem usage and carbapenem resistance in Pseudomonas aeruginosa among 12 hospitals in Queensland, Australia

OBJECTIVES The objective of this study was to determine the association between ertapenem and antipseudomonal carbapenem use and carbapenem resistance in Pseudomonas aeruginosa in 12 hospitals in Queensland, Australia. METHODS Data on usage of ertapenem and other antipseudomonal carbapenems, measured in defined daily doses per 1000 occupied bed-days, were collated using statewide pharmacy dispensing and distribution software from January 2007 until June 2011. The prevalence of unique carbapenem-resistant P. aeruginosa isolates derived from statewide laboratory information systems was collected for the same time period. Mixed-effects models were used to determine any relationship between ertapenem and antipseudomonal carbapenem usage and carbapenem resistance among P. aeruginosa isolates in the 12 hospitals analysed. RESULTS No relationship between ertapenem usage and P. aeruginosa carbapenem resistance was observed. The introduction of ertapenem did not replace antipseudomonal carbapenem prescribing to any significant extent. However, an association between greater usage of antipseudomonal carbapenems and greater P. aeruginosa carbapenem resistance was demonstrated. CONCLUSIONS It is likely that the only mechanism by which ertapenem can improve P. aeruginosa resistance patterns is by being used as a substitute for, rather than in addition to, antipseudomonal carbapenems.

Perceptions of healthcare professionals regarding the main challenges and barriers to effective hospital infection control in Mongolia: a qualitative study.

BackgroundIt is not fully understood why healthcare decision-makers of developing countries often give low priority to infection control and why they are unable to implement international guidelines. This study aimed to identify the main perceived challenges and barriers that hinder the effective implementation of infection control programmes in Mongolia.MethodsIn 2008, qualitative research involving 4 group and 55 individual interviews was conducted in the capital city of Mongolia and two provincial centres.ResultsA total of 87 health professionals participated in the study, including policy and hospital-level managers, doctors, nurses and infection control practitioners. Thematic analysis revealed a large number of perceived challenges and barriers to the formulation and implementation of infection control policy. These challenges and barriers were complex in nature and related to poor funding, suboptimal knowledge and attitudes, and inadequate management. The study results suggest that the availability of infection control policy and guidelines, and the provision of specific recommendations for low-resource settings, do not assure effective implementation of infection control programmes.ConclusionsThe current infection control system in Mongolia is likely to remain ineffective unless the underlying barriers and challenges are adequately addressed. Multifaceted interventions with logistical, educational and management components that are specific to local circumstances need to be designed and implemented in Mongolia. The importance of international peer support is highlighted.

A PCR method for the identification of methicillin-resistant Staphylococcus aureus (MRSA) from screening swabs

Aim: The aim of this study was to assess the discriminatory power and potential turn around time (TAT) of a PCR‐based method for the detection of methicillin‐resistant Staphylococcus aureus (MRSA) from screening swabs. Methods: Screening swabs were examined using the current laboratory protocol of direct culture on mannitol salt agar supplemented with oxacillin (MSAO‐direct). The PCR method involved pre‐incubation in broth for 4 hours followed by a multiplex PCR with primers directed to mecA and nuc genes of MRSA. The reference standard was determined by pre‐incubation in broth for 4 hours followed by culture on MSAO (MSAO‐broth). Results: A total of 256 swabs was analysed. The rates of detection of MRSA using MSAO‐direct, MSAO‐broth and PCR were 10.2, 13.3 and 10.2%, respectively. For PCR, the sensitivity, specificity, positive predictive value and negative predictive values were 66.7% (95%CI 51.9–83.3%), 98.6% (95%CI 97.1–100%), 84.6% (95%CI 76.2–100%) and 95.2% (95%CI 92.4–98.0%), respectively, and these results were almost identical to those obtained from MSAO‐direct. The agreement between MSAO‐direct and PCR was 61.5% (95%CI 42.8–80.2%) for positive results, 95.6% (95%CI 93.0–98.2%) for negative results and overall was 92.2% (95%CI 88.9–95.5%). Conclusions: (1) The discriminatory power of PCR and MSAO‐direct is similar but the level of agreement, especially for true positive results, is low. (2) The potential TAT for the PCR method provides a marked advantage over conventional methods. (3) Further modifications to the PCR method such as increased broth incubation time, use of selective broth and adaptation to real‐time PCR may lead to improvement in sensitivity and TAT.

Improved hospital-level risk adjustment for surveillance of healthcare-associated bloodstream infections: a retrospective cohort study

BackgroundTo allow direct comparison of bloodstream infection (BSI) rates between hospitals for performance measurement, observed rates need to be risk adjusted according to the types of patients cared for by the hospital. However, attribute data on all individual patients are often unavailable and hospital-level risk adjustment needs to be done using indirect indicator variables of patient case mix, such as hospital level. We aimed to identify medical services associated with high or low BSI rates, and to evaluate the services provided by the hospital as indicators that can be used for more objective hospital-level risk adjustment.MethodsFrom February 2001-December 2007, 1719 monthly BSI counts were available from 18 hospitals in Queensland, Australia. BSI outcomes were stratified into four groups: overall BSI (OBSI), Staphylococcus aureus BSI (STAPH), intravascular device-related S. aureus BSI (IVD-STAPH) and methicillin-resistant S. aureus BSI (MRSA). Twelve services were considered as candidate risk-adjustment variables. For OBSI, STAPH and IVD-STAPH, we developed generalized estimating equation Poisson regression models that accounted for autocorrelation in longitudinal counts. Due to a lack of autocorrelation, a standard logistic regression model was specified for MRSA.ResultsFour risk services were identified for OBSI: AIDS (IRR 2.14, 95% CI 1.20 to 3.82), infectious diseases (IRR 2.72, 95% CI 1.97 to 3.76), oncology (IRR 1.60, 95% CI 1.29 to 1.98) and bone marrow transplants (IRR 1.52, 95% CI 1.14 to 2.03). Four protective services were also found. A similar but smaller group of risk and protective services were found for the other outcomes. Acceptable agreement between observed and fitted values was found for the OBSI and STAPH models but not for the IVD-STAPH and MRSA models. However, the IVD-STAPH and MRSA models successfully discriminated between hospitals with higher and lower BSI rates.ConclusionThe high model goodness-of-fit and the higher frequency of OBSI and STAPH outcomes indicated that hospital-specific risk adjustment based on medical services provided would be useful for these outcomes in Queensland. The low frequency of IVD-STAPH and MRSA outcomes indicated that development of a hospital-level risk score was a more valid method of risk adjustment for these outcomes.

Using a checklist to identify barriers to compliance with evidence-based guidelines for central line management: a mixed methods study in Mongolia

OBJECTIVES This study aimed to determine the extent to which a checklist has potential for identifying barriers to compliance with central line management guidelines, to evaluate the potential utility of checklists to improve the management of central lines in Mongolia, and to define the gap between current and best practices. METHODS A 22-item checklist was developed based on the Centers for Disease Control and Prevention (CDC, USA) guidelines and existing central line-associated bloodstream infection (CLABSI) checklists. The checklist was used to observe 375 central line procedures performed in the intensive care units of four tertiary hospitals of Mongolia between July and December 2010. In parallel, 36 face-to-face interviews were conducted in six other tertiary hospitals to explain practice variations and identify barriers. RESULTS The baseline compliance level across all components of the checklist was 68.5%. The main factors explaining low levels of compliance were outdated local standards, a lack of updated guidelines, poor control over compliance with existing clinical guidelines, poor supply of medical consumables, and insufficient knowledge of contemporary infection control measures among health care providers. CONCLUSIONS The health authorities of Mongolia need to adequately address the prevention and control of CLABSIs in their hospitals. Updating local standards and guidelines and implementing adequate multifaceted interventions with behavioral, educational, and logistical components are required. Use of a checklist as a baseline evaluation tool was feasible. It described current practice, showed areas that need urgent attention, and provided important information needed for future planning of CLABSI interventions.

Analysis of aggregated hospital infection data for accountability

Analysis and reporting of among-institution aggregated hospital-acquired infection data are necessary for transparency and accountability. Different analytical methods are required for ensuring transparency and accountability for within-institution sequential analysis. In addition, unbiased summary information is needed for planning and informing the public. We believe that implementation of systems based on evidence is the key to improving institutional performance and safety. This must be accompanied by compliance, outcome audit and sequential analysis of outcome data, e.g. using statistical process control methods. Checklists can be a valuable aid for ensuring implementation of evidence-based systems. Aggregated outcome data analysis for transparency and accountability should concentrate primarily on accurately presenting the outcomes together with their precision. We describe tabulations, funnel plots and random-effects (shrinkage) analysis and avoid comparisons using league tables, star ratings and confidence intervals.