Use of surveillance data for prevention of healthcare-associated infection: risk adjustment and reporting dilemmas:

Performance of ICD-10-AM codes for quality improvement monitoring of hospital-acquired pneumonia in a haematology-oncology casemix in Victoria, Australia

BACKGROUND

The Australian hospital-acquired complication (HAC) policy was introduced to facilitate negative funding adjustments in Australian hospitals using ICD-10-AM codes.

OBJECTIVE

The aim of this study was to determine the positive predictive value (PPV) of the ICD-10-AM codes in the HAC framework to detect hospital-acquired pneumonia in patients with cancer and to describe any change in PPV before and after implementation of an electronic medical record (EMR) at our centre.

METHOD

A retrospective case review of all coded pneumonia episodes at the Peter MacCallum Cancer Centre in Melbourne, Australia spanning two time periods (01 July 2015 to 30 June 2017 [pre-EMR period] and 01 September 2020 to 28 February 2021 [EMR period]) was performed to determine the proportion of events satisfying standardised surveillance definitions.

RESULTS

HAC-coded pneumonia occurred in 3.66% (n = 151) of 41,260 separations during the study period. Of the 151 coded pneumonia separations, 27 satisfied consensus surveillance criteria, corresponding to an overall PPV of 0.18 (95% CI: 0.12, 0.25). The PPV was approximately three times higher following EMR implementation (0.34 [95% CI: 0.19, 0.53] versus 0.13 [95% CI: 0.08, 0.21]; p = .013).

CONCLUSION

The current HAC definition is a poor-to-moderate classifier for hospital-acquired pneumonia in patients with cancer and, therefore, may not accurately reflect hospital-level quality improvement. Implementation of an EMR did enhance case detection, and future refinements to administratively coded data in support of robust monitoring frameworks should focus on EMR systems.

IMPLICATIONS

Although ICD-10-AM data are readily available in Australian healthcare settings, these data are not sufficient for monitoring and reporting of hospital-acquired pneumonia in haematology-oncology patients.

Evaluation of a client questionnaire at diagnosing surgical site infections in an active surveillance system

OBJECTIVE

To report sensitivity, specificity, predictive values and accuracy of a client questionnaire at diagnosing surgical site infections (SSIs) and describe the impact of active surveillance on SSI detection.

STUDY DESIGN

Prospective, cohort study.

ANIMALS

Dogs and cats undergoing soft tissue or orthopedic surgery over a 12-month period at a referral hospital.

METHODS

Clients were emailed a questionnaire 30 days postoperatively, or 90 days where an implant was used. Three algorithms were developed to diagnose SSIs using one or both of two criteria: (1) presence of any wound healing problems; (2) wound dehiscence or antibiotic prescription, and either purulent discharge or two or more clinical signs (redness, pain, heat, swelling, discharge). Algorithmic diagnoses were compared to gold standard diagnoses made by veterinarians.

RESULTS

Of 754 surgical procedures, 309 responses were completed with 173 corresponding gold standard diagnoses. The most accurate algorithm determined "SSI" or "No SSI" from 90.2% of responses with 95.5% (92.4-98.6) accuracy, 82.6% (77-88.3) sensitivity, 97.7% (95.5-100) specificity, 86.4% (81.2-91.5) positive predictive value, and 97% (94.5-99.6) negative predictive value. "No SSI" was diagnosed in responses not meeting criterion 1, and "SSI" in responses meeting criteria 1 and 2. "Inconclusive" responses, comprising 9.8% of responses, met criterion 1 but not 2. Overall SSI rate was 62/754 (8.2%) and 12/62 (19.4%) SSIs were detected by active surveillance only.

CONCLUSION

Use of this client questionnaire accurately diagnosed SSIs; active surveillance increased SSI detection.

CLINICAL SIGNIFICANCE

Surveillance of SSIs should be active and can be simplified by using a client questionnaire and algorithmic diagnoses, allowing automated distribution, data collection and analysis.

Reducing the rate of central line-associated bloodstream infections; a quality improvement project

BACKGROUND

The burden of central line-associated bloodstream infections is significant and has negative implications for healthcare, increasing morbidity and mortality risks, increasing inpatient hospital stays, and increasing the cost of hospitalization. Efforts to reduce the incidence of central line-associated bloodstream infections have utilized quality improvement projects that implement, measure, and monitor outcomes. However, variations in location, healthcare organization, patient risks, and practice gaps are key to the success of interventions and approaches. This study aims to evaluate interventions of a quality improvement project on the reduction of central line-associated bloodstream infection rates at a university teaching hospital.

METHODS

This was a retrospective review of a quality improvement project that was implemented using the Plan-Do-Study-Act quality improvement cycle. Active surveillance of processes and outcomes was performed in the critical care areas; compliance to central line care bundles, and central line-associated bloodstream infections. Interrupted time series was used to analyze trends pre and post-intervention and regression modeling to estimate data segments preceding and succeeding the interventions.

RESULTS

There were 350 central line insertions, 3912 catheter days, and 20 central line-associated bloodstream infection events during the intervention period. Compliance with central line care bundles was at 94%. There was a trend in the reduction of central line-associated bloodstream infections by 18% that did not reach statistical significance (p = 0.252).

CONCLUSIONS

Improvement projects to reduce central line-associated bloodstream infections face challenges and complexities associated with implementing interventions in real-world healthcare settings. There is a great need to continuously monitor, evaluate, readjust, and adapt interventions to achieve desired results, sustain improvements in patient outcomes, and investigate reasons for non-adherence as keys to achieving desired outcomes.

Advanced Loss Eventuality Assessment and Technical Estimates: An Integrated Approach for Management of Healthcare-Associated Infections

BACKGROUND

Healthcare Associated Infections (HAIs) represent a crucial issue in health and patient safety management due to the persistent nature, economic impact and possible preventability of the phenomenon. Compensation claims for damages resulting from HAI could provide insights that can improve the understanding of suboptimal steps in the therapeutic process, enable an estimate of costs related to infectious complications, and guide the development of planning tools for implementation of the quality of care.

OBJECTIVE

This paper analyzes all the HAI claims received at the Umberto I General Hospital of Rome across a five-year period with the aim of outlining a methodological approach to the litigation management and of characterizing the economic impact of infections on health facilities resources.

METHODS

All claims received during the study period have been classified according to the International Classification for Patient Safety (ICPS) system. Subsequently, claims related to Healthcare Associated Infections were evaluated through an innovative tool for determination of the risk of loss, the Advanced Loss Eventuality Assessment (ALEA) score.

RESULTS

The results obtained demonstrate the relevance of a correct management of HAI claims in the administration of a health care system. Specifically, the cases examined during the study highlighted the significant impact of infectious diseases of a nosocomial nature in terms of frequency and economic exposure.

CONCLUSION

The proposed methodological approach allows a productive analysis of the internal processes, providing fundamental data for the refinement of the preventive strategies and for the rationalization of the resources through the expenditure forecasts. Article Highlights Box: Healthcare-Associated Infections represent an essential element to consider in the management of health facilities. • Many studies highlight the economic burden of Healthcare-Associated Infections in health policies. • Litigation management represents a useful resource in the prevention of Healthcare Associated Infections. • Appropriate clinical risk management policies in the field of Healthcare-Associated Infections allow the implementation of preventive measures, the reduction of the incidence of the phenomenon and the quality of care. • The costs of Healthcare-Associated Infections can be limited through a systematic methodological approach based on Advanced Loss Eventuality Assessment and technical estimate of the value of each case. • The application of a standardized system would be desirable in any health facility despite the potential methodological, technical, behavioral and financial issues.

Highlighting the gaps in quantifying the economic burden of surgical site infections associated with antimicrobial-resistant bacteria

Antibiotics are the pillar of surgery from prophylaxis to treatment; any failure is potentially a leading cause for increased morbidity and mortality. Robust data on the burden of SSI especially those due to antimicrobial resistance (AMR) show variable rates between countries and geographical regions but accurate estimates of the incidence of surgical site infections (SSI) due to AMR and its related global economic impact are yet to be determined. Quantifying the burden of SSI treatment is an incentive to sensitize governments, healthcare systems, and the society to invest in quality improvement and sustainable development. However in the absence of a unified epidemiologically sound infection definition of SSI and a well-designed global surveillance system, the end result is a lack of accurate and reliable data that limits the comparability of estimates between countries and the possibility of tracking changes to inform healthcare professionals about the appropriateness of implemented infection prevention and control strategies. This review aims to highlight the reported gaps in surveillance methods, epidemiologic data, and evidence-based SSI prevention practices and in the methodologies undertaken for the evaluation of the economic burden of SSI associated with AMR bacteria. If efforts to tackle this problem are taken in isolation without a global alliance and data is still lacking generalizability and comparability, we may see the future as a race between the global research efforts for the advancement in surgery and the global alarming reports of the increased incidence of antimicrobial-resistant pathogens threatening to undermine any achievement.

Health care-associated infection surveillance system in Iran: Reporting and accuracy

BACKGROUND

Valid data are a crucial aspect of infection prevention and control programs. The aim of this study was to examine the accuracy of routine reporting in the Iranian Nosocomial Infection Surveillance System in intensive care units.

METHODS

A blinded retrospective review of general intensive care unit medical records was performed with a standard case-finding form. Infection control nurses (ICNs) were also interviewed to explore possible reasons for differences.

RESULTS

The results of 951 events in 856 medical records were assessed. Sensitivity, specificity, and positive and negative predictive values of routine surveillance were 27.5%, 97.2%, 69%, and 85.3%, respectively. The results indicate 82.2%, 68.4%, 62.7%, and 57.3% under-reporting of surgical site infections, urinary tract infections, bloodstream infections, and pneumonia, respectively. Over-reporting of approximately 8%-15% was detected in 4 types of health care-associated infections (HAIs). Misinterpretation of HAI definition, high ICN workload, and inactivity of infection control link nurses were the main causes of inaccurate reporting.

CONCLUSIONS

Under and over-reporting of HAIs are main challenges of HAIs reporting in Iran. Developing guidelines, empowering ICNs through specialized training and activating infection control link nurses are necessary to achieve more accurate data in the Iranian Nosocomial Infection Surveillance System.

Exploring an optimal risk adjustment model for public reporting of cesarean section surgical site infections

BACKGROUND

Public report of surgical site infections (SSI) rates has been an important component of SSI reduction strategies, and risk adjustment is needed before SSI rates are publicly reported. Improving the risk adjustment model facilitates meaningful comparison in the public reporting of SSIs. This research aimed to explore an optimal risk adjustment model for the public reporting of cesarean section (CS) SSI.

METHODS

Information on 2506 cases of CS performed at T hospital, a tertiary general hospital located in the W City of H Province in China, from 01 January 2013 to 31 December 2014 was collected. The data were used to construct the multivariate risk adjustment models of CS SSI through logistic and Poisson stepwise regression. The c-index was used to compare the predictive power between the new logistic regression and the National Nosocomial Infections Surveillance (NNIS) risk index model. Pearson goodness-of-fit was determined to compare the goodness-of-fit between the new Poisson regression and the NNIS risk index model. The two new regression models were also compared.

RESULTS

The logistic and Poisson regression models included two patient-related risk factors, namely, BMI (OR=1.085, P=0.006; RR=1.081, P=0.006) and ASA score (OR=1.522, P=0.044; RR=1.501, P=0.047). The c-index of the logistic regression model (0.628) was higher than that of the NNIS risk index model (0.600). The goodness-of-fit of the Poisson regression model (0.946) was better than that of the NNIS risk index model (0.851).

CONCLUSIONS

The logistic and Poisson regression risk models are better than the NNIS risk index model, implying that a multifactorial risk adjustment model is needed for the public reporting of CS SSI. The advantage of logistic regression model is that the predictive power of model can be evaluated by c-index, however, Poisson regression may offer more advantages on model accuracy than logistic regression does when the infection rate decreases.

Laboratory data as a quality indicator of health-care-associated infections in England

Routine diagnostic laboratory results, e.g. numbers of meticillin-resistant Staphylococcus aureus (MRSA) bacteraemias, have been used as health-care-associated infection quality indicators for decades. The English health-care-associated infection quality indicator system was one of the earliest in the world to mandate the collection and public reporting of such data and has been associated with a reduction of MRSA bacteraemias and Clostridium difficile infections but has shown mixed results for other infections. Diagnostic laboratory data vary greatly between hospitals depending not only on the underlying frequency of the infection of interest, but on the case mix, numbers of samples processed and laboratory factors, which limits benchmarking. Further, over-reliance on laboratory reports has led to unintended negative consequences in England. So, while acknowledging the successes of the English system, the authors believe that it should be appraised in light of the goals of quality of care, patient safety, fairness and providing meaningful data, and alternative healthcare-associated infection quality indicator measurements considered.

Prospective surveillance of healthcare-associated infections and patterns of antimicrobial resistance of pathogens in an Italian intensive care unit

Background

The study aimed to evaluate the distribution of healthcare-associated infections (HAIs), the incidence rates and device utilization ratio (DUR) of device-associated infections (DAIs), as well as the distribution and patterns of antimicrobial resistance of the responsible pathogens.

Methods

Eligible patients who were admitted to an adult Intensive Care Unit (ICU) from May 1, 2013 to December 31, 2016 were included in the surveillance. Demographics, intrinsic and extrinsic risk factors, information regarding infection and isolated pathogens with antibiogram results were collected.

Results

One thousand two hundred eighty-three patients were included in the surveillance. One hundred forty-seven HAIs were detected with a cumulative incidence of 9.2 per 100 patients 4-year period and an incidence rate of 17.4 per 1000 patient days. Fifty-six out of 1283 patients were affected by at least one episode of ICU-acquired pneumonia, and 72.7% of these were associated with intubation. ICU-acquired bloodstream infections (BSIs) occurred in 4.4% of patients and 89.5% were catheter-related. ICU-acquired urinary tract infections (UTIs) occurred in 1% of patients, with 84.6% of the episodes being associated with the use of an urinary catheter. The pattern of antimicrobial-resistance in the isolates showed, among the Gram-positive bacteria, that 66.6% and 16.6% of Staphylococcus epidermidis were oxacillin and teicoplanin resistant, respectively. Among the Gram-negative bacteria, carbapenem resistance was found in 91.6% of Acinetobacter baumannii and 28.5% of Klebsiella pneumoniae isolates.

Conclusions

The majority of HAIs in the ICU studied were associated with the use of invasive devices. Since a significant proportion of these HAIs are considered preventable, reinforcement of the evidence-based preventive procedures are needed.

Electronic supplementary material

The online version of this article (10.1186/s13756-018-0337-x) contains supplementary material, which is available to authorized users.

Rates of catheter-associated urinary tract infection in tertiary care hospitals in 3 Arabian Gulf countries: A 6-year surveillance study

BACKGROUND

The true burden of catheter-associated urinary tract infections (CAUTIs) remains largely unknown because of a lack of national and regional surveillance reports in Gulf Cooperation Council (GCC) countries. The purpose of this study was to estimate location-specific CAUTI rates in the GCC region and to compare them with published reports from the U.S. National Healthcare Safety Network (NHSN) and the International Nosocomial Infection Control Consortium (INICC).

METHODS

CAUTI rates and urinary catheter utilization between 2008 and 2013 were calculated using NHSN methodology pooled from 6 hospitals in 3 GCC countries: Saudi Arabia, Oman, and Bahrain. The standardized infection ratios of the CAUTIs were compared with published reports of the NHSN and INICC.

RESULTS

A total of 286 CAUTI events were diagnosed during 6 years of surveillance, covering 89,254 catheter days and 113,807 patient days. The overall CAUTI rate was 3.2 per 1,000 catheter days (95% confidence interval, 2.8-3.6), with an overall urinary catheter utilization of 0.78. The CAUTI rates showed a wide variability between participating hospitals, with approximately 80% reduction during the study. The overall compliance with the urinary catheter bundle implementation during the second half of the study was 65%. The risk of CAUTI in GCC hospitals was 35% higher than the NHSN hospitals, but 37% lower than the INICC hospitals.

CONCLUSIONS

CAUTI rates pooled from a sample of GCC hospitals are quite different from rates in both developing and developed countries.

A realist analysis of hospital patient safety in Wales: applied learning for alternative contexts from a multisite case study

Background

Hospital patient safety is a major social problem. In the UK, policy responses focus on the introduction of improvement programmes that seek to implement evidence-based clinical practices using the Model for Improvement, Plan-Do-Study-Act cycle. Empirical evidence that the outcomes of such programmes vary across hospitals demonstrates that the context of their implementation matters. However, the relationships between features of context and the implementation of safety programmes are both undertheorised and poorly understood in empirical terms.

Objectives

This study is designed to address gaps in conceptual, methodological and empirical knowledge about the influence of context on the local implementation of patient safety programmes.

Design

We used concepts from critical realism and institutional analysis to conduct a qualitative comparative-intensive case study involving 21 hospitals across all seven Welsh health boards. We focused on the local implementation of three focal interventions from the 1000 Lives+patient safety programme: Improving Leadership for Quality Improvement, Reducing Surgical Complications and Reducing Health-care Associated Infection. Our main sources of data were 160 semistructured interviews, observation and 1700 health policy and organisational documents. These data were analysed using the realist approaches of abstraction, abduction and retroduction.

Setting

Welsh Government and NHS Wales.

Participants

Interviews were conducted with 160 participants including government policy leads, health managers and professionals, partner agencies with strategic oversight of patient safety, advocacy groups and academics with expertise in patient safety.

Main outcome measures

Identification of the contextual factors pertinent to the local implementation of the 1000 Lives+patient safety programme in Welsh NHS hospitals.

Results

An innovative conceptual framework harnessing realist social theory and institutional theory was produced to address challenges identified within previous applications of realist inquiry in patient safety research. This involved the development and use of an explanatory intervention–context–mechanism–agency–outcome (I-CMAO) configuration to illustrate the processes behind implementation of a change programme. Our findings, illustrated by multiple nested I-CMAO configurations, show how local implementation of patient safety interventions are impacted and modified by particular aspects of context: specifically, isomorphism, by which an intervention becomes adapted to the environment in which it is implemented; institutional logics, the beliefs and values underpinning the intervention and its source, and their perceived legitimacy among different groups of health-care professionals; and the relational structure and power dynamics of the functional group, that is, those tasked with implementing the initiative. This dynamic interplay shapes and guides actions leading to the normalisation or the rejection of the patient safety programme.

Conclusions

Heightened awareness of the influence of context on the local implementation of patient safety programmes is required to inform the design of such interventions and to ensure their effective implementation and operationalisation in the day-to-day practice of health-care teams. Future work is required to elaborate our conceptual model and findings in similar settings where different interventions are introduced, and in different settings where similar innovations are implemented.

Funding

The National Institute for Health Research Health Services and Delivery Research programme.

Variation in health care-associated infection surveillance practices in Australia

In the absence of a national health care-associated infection surveillance program in Australia, differences between existing state-based programs were explored using an online survey. Only 51% of respondents who undertake surveillance have been trained, fewer than half perform surgical site infection surveillance prospectively, and only 41% indicated they risk adjust surgical site infection data. Widespread variation of surveillance methods highlights future challenges when considering the development and implementation of a national program in Australia.

Cross-sectional study on surveillance of surgical site infections after vascular surgery

Aims: To determine the incidence and risk factors for surgical site infections (SSI) after vascular surgery, to evaluate the Dutch safety bundle to reduce adverse complications and to analyze causative microorganisms of SSIs. Materials & methods: The 3.5-year study was divided into two periods: the control period (before bundle implementation) and intervention period (after implementation). Postdischarge surveillance was performed until 30 days after surgery. Causative microorganisms from in-hospital wound swabs were determined. SSI rates between both periods were compared and a risk analysis was carried out by performing a logistic regression. Results: The study included 1719 operations. The in-hospital SSI rate increased significantly over time. Out of 140 SSIs, 39% were diagnosed postdischarge. Risk factors were diabetes, age >60 years and operations classified as contaminated or dirty. Pseudomonas aeruginosa susceptibility was the highest for gentamicin (97%). All Staphylococcus aureus were methicillin susceptible. Conclusion: As patient demographics are important to determine the effectiveness of infection preventive measures, (postdischarge) surveillance is important for developing SSI interventions.

Benchmarking French regions according to their prevalence of healthcare-associated infections

OBJECTIVE

To propose an original method of benchmarking regions based on their prevalence of healthcare-associated infections (HAIs) and to identify regions with unusual results.

DESIGN

To study between-region variability with a three-level hierarchical logistic regression model and a Bayesian non-parametric method.

SETTING

French 2006 national HAIs point prevalence survey.

PARTICIPANTS

A total of 336 858 patients from 2289 healthcare facilities in 27 regions. Patients with an imported HAI (1% of the data, 20.7% of infected patients), facilities with <5 patients and patients who had at least one missing value for the variables taken into account were excluded (5.0% of patients).

MAIN OUTCOME MEASURE

Binary outcome variable indicates whether a given patient was infected.

RESULTS

Two clusters of regions were identified: one cluster of five regions had a lower adjusted prevalence than the other one of 22 regions, while no region with unusually high prevalence could be identified. Nevertheless, the degree of heterogeneity of odds ratios between facilities for facility-specific effects of use of invasive devices was more important in some regions than in others.

CONCLUSIONS

The adjusted regional prevalence of HAIs can serve as an adequate benchmark to identify regions with concerning results. Although no outlier regions were identified, the proposed approach could be applied to the data of the 2012 national survey to benchmark regional healthcare policies. The estimation of facility-specific effects of use of invasive devices may orient future regional action plans.

Survey of teaching/learning of healthcare-associated infections in UK and Irish medical schools

All medical doctors have an important role to play in the diagnosis, management and prevention of healthcare-associated infection (HCAI). Strengthening the contribution of medical doctors and medical students to HCAI prevention programmes should include measures that enhance knowledge, improve practice and develop appropriate attitudes to the safety and quality of patient care. The Hospital Infection Society (HIS) funded a review of medical education on HCAI throughout medical schools in the UK and the Republic of Ireland. A questionnaire was drafted and circulated to all medical schools and 31 of 38 (82%) responded. The prevalence and transmission of HCAI were taught by 97% and 100% of medical schools, respectively, but the importance of HCAI as a quality and safety issue was covered in only 60% of medical schools. Multiple choice questions (MCQs) and objective structure clinical examinations (OSCEs) were the most popular methods of assessment. Lectures, discussion of cases and practical demonstrations were considered useful by >90% of respondents and online material and log books by 67% and 60%, respectively. More than 80% were willing to share a common pool of educational resources. An agreed curriculum should be developed for educating medical students in HCAI prevention and control, to outline optimum methods for assessment and develop a shared pool of educational resources.