A 7-year analysis of attributable costs of healthcare-associated infections in a network of community hospitals in the southeastern United States

We calculated the attributable cost of several healthcare-associated infections in a community hospital network: central-line-associated bloodstream infections (CLABSIs), catheter-associated urinary tract infections (CAUTIs), hospital-onset Clostridioides difficile infections (CDI-HOs) (43 hospitals); surgical site infections (SSIs) (40 hospitals). From 2016 to 2022, the total cost of CLABSIs, CAUTIs, CDI-HOs, and SSIs was $420,012,025.

A user evaluation of speech/phrase recognition software in critically ill patients: a DECIDE-AI feasibility study

OBJECTIVES

Evaluating effectiveness of speech/phrase recognition software in critically ill patients with speech impairments.

DESIGN

Prospective study.

SETTING

Tertiary hospital critical care unit in the northwest of England.

PARTICIPANTS

14 patients with tracheostomies, 3 female and 11 male.

MAIN OUTCOME MEASURES

Evaluation of dynamic time warping (DTW) and deep neural networks (DNN) methods in a speech/phrase recognition application. Using speech/phrase recognition app for voice impaired (SRAVI), patients attempted mouthing various supported phrases with recordings evaluated by both DNN and DTW processing methods. Then, a trio of potential recognition phrases was displayed on the screen, ranked from first to third in order of likelihood.

RESULTS

A total of 616 patient recordings were taken with 516 phrase identifiable recordings. The overall results revealed a total recognition accuracy across all three ranks of 86% using the DNN method. The rank 1 recognition accuracy of the DNN method was 75%. The DTW method had a total recognition accuracy of 74%, with a rank 1 accuracy of 48%.

CONCLUSION

This feasibility evaluation of a novel speech/phrase recognition app using SRAVI demonstrated a good correlation between spoken phrases and app recognition. This suggests that speech/phrase recognition technology could be a therapeutic option to bridge the gap in communication in critically ill patients.

WHAT IS ALREADY KNOWN ABOUT THIS TOPIC

Communication can be attempted using visual charts, eye gaze boards, alphabet boards, speech/phrase reading, gestures and speaking valves in critically ill patients with speech impairments.

WHAT THIS STUDY ADDS

Deep neural networks and dynamic time warping methods can be used to analyse lip movements and identify intended phrases.

HOW THIS STUDY MIGHT AFFECT RESEARCH, PRACTICE AND POLICY

Our study shows that speech/phrase recognition software has a role to play in bridging the communication gap in speech impairment.

Early recognition and response to increases in surgical site infections using optimised statistical process control charts-The early 2RIS trial: A multicentre stepped wedge cluster randomised controlled trial

BACKGROUND

Traditional approaches for surgical site infection (SSI) surveillance have deficiencies that delay detection of SSI outbreaks and other clinically important increases in SSI rates. We investigated whether use of optimised statistical process control (SPC) methods and feedback for SSI surveillance would decrease rates of SSI in a network of US community hospitals.

METHODS

We conducted a stepped wedge cluster randomised trial of patients who underwent any of 13 types of common surgical procedures across 29 community hospitals in the Southeastern United States. We divided the 13 procedures into six clusters; a cluster of procedures at a single hospital was the unit of randomisation and analysis. In total, 105 clusters were randomised to 12 groups of 8-10 clusters. All participating clusters began the trial in a 12-month baseline period of control or "traditional" SSI surveillance, including prospective analysis of SSI rates and consultative support for SSI outbreaks and investigations. Thereafter, a group of clusters transitioned from control to intervention surveillance every three months until all clusters received the intervention. Electronic randomisation by the study statistician determined the sequence by which clusters crossed over from control to intervention surveillance. The intervention was the addition of weekly application of optimised SPC methods and feedback to existing traditional SSI surveillance methods. Epidemiologists were blinded to hospital identity and randomisation status while adjudicating SPC signals of increased SSI rates, but blinding was not possible during SSI investigations. The primary outcome was the overall SSI prevalence rate (PR=SSIs/100 procedures), evaluated via generalised estimating equations with a Poisson regression model. Secondary outcomes compared traditional and optimised SPC signals that identified SSI rate increases, including the number of formal SSI investigations generated and deficiencies identified in best practices for SSI prevention. This trial was registered at ClinicalTrials.gov, NCT03075813.

FINDINGS

Between Mar 1, 2016, and Feb 29, 2020, 204,233 unique patients underwent 237,704 surgical procedures. 148,365 procedures received traditional SSI surveillance and feedback alone, and 89,339 procedures additionally received the intervention of optimised SPC surveillance. The primary outcome of SSI was assessed for all procedures performed within participating clusters. SSIs occurred after 1171 procedures assigned control surveillance (prevalence rate [PR] 0.79 per 100 procedures), compared to 781 procedures that received the intervention (PR 0·87 per 100 procedures; model-based PR ratio 1.10, 95% CI 0.94-1.30, p=0.25). Traditional surveillance generated 24 formal SSI investigations that identified 120 SSIs with deficiencies in two or more perioperative best practices for SSI prevention. In comparison, optimised SPC surveillance generated 74 formal investigations that identified 458 SSIs with multiple best practice deficiencies.

INTERPRETATION

The addition of optimised SPC methods and feedback to traditional methods for SSI surveillance led to greater detection of important SSI rate increases and best practice deficiencies but did not decrease SSI rates. Additional research is needed to determine how to best utilise SPC methods and feedback to improve adherence to SSI quality measures and prevent SSIs.

FUNDING

Agency for Healthcare Research and Quality.

93. Early Recognition and Response to Increases in Surgical Site Infections (SSI) using Optimized Statistical Process Control (SPC) Charts – the Early 2RIS Trial: A Multicenter Stepped Wedge Cluster Randomized Controlled Trial (RCT)

Background

Traditional approaches for SSI surveillance have deficiencies that can delay detection of SSI outbreaks and other clinically important increases in SSI rates. Optimized SPC methods for SSI surveillance have not been prospectively evaluated.

Methods

We conducted a prospective multicenter stepped wedge cluster RCT to evaluate the performance of SSI surveillance and feedback performed with optimized SPC plus traditional surveillance methods compared to traditional surveillance alone. We divided 13 common surgical procedures into 6 clusters (Table 1). A cluster of procedures at a single hospital was the unit of randomization and analysis, and 105 total clusters across 29 community hospitals were randomized to 12 groups of 8-10 clusters (Figure 1). After a 12-month baseline observation period (3/2016-2/2017), the SPC surveillance intervention was serially implemented according to stepped wedge assignment over a 36-month intervention period (3/2017-2/2020) until all 12 groups of clusters had received the intervention. The primary outcome was the overall SSI prevalence rate (PR=SSIs/100 procedures), evaluated with a GEE model with Poisson distribution.

Table 1

Figure 1

Schematic for stepped wedge design. The 12-month baseline observation period was followed by the 36-month intervention period, comprised of 12 3-month steps.

Results

Our trial involved prospective surveillance of 237,704 procedures that resulted in 1,952 SSIs (PR=0.82). The overall SSI PR did not differ significantly between clusters of procedures assigned to SPC surveillance (781 SSIs/89,339 procedures; PR=0.87) and those assigned to traditional surveillance (1,171 SSIs/148,365 procedures; PR=0.79; PR ratio=1.10 [95% CI, 0.94–1.30]; P=.25) (Table 2). SPC surveillance identified 104 SSI rate increases that required formal investigations, compared to only 25 investigations generated by traditional surveillance. Among 10 best practices for SSI prevention, 453 of 502 (90%) SSIs analyzed due to SPC detection of SSI rate increases had at least 2 deficiencies (Table 3).

Table 2

Poisson regression models comparing surgical site infection (SSI) prevalence rates for procedure clusters receiving statistical process control surveillance to SSI rates for clusters receiving traditional control surveillance.

Table 3

Compliance with 10 best practices for surgical site infection (SSI) prevention among 502 SSIs analyzed during SSI investigations generated by statistical process control surveillance.

Conclusion

SPC methods more frequently detected important SSI rate increases associated with deficiencies in SSI prevention best practices than traditional surveillance; however, feedback of this information did not lead to SSI rate reductions. Further study is indicated to determine the best application of SPC methods to improve adherence to SSI quality measures and prevent SSIs.

Disclosures

Arthur W. Baker, MD, MPH, Medincell (Advisor or Review Panel member) Susan S. Huang, MD, MPH, Medline (Other Financial or Material Support, Conducted studies in which participating hospitals and nursing homes received contributed antiseptic and cleaning products)Molnlycke (Other Financial or Material Support, Conducted studies in which participating hospitals and nursing homes received contributed antiseptic and cleaning products)Stryker (Sage) (Other Financial or Material Support, Conducted studies in which participating hospitals and nursing homes received contributed antiseptic and cleaning products)Xttrium (Other Financial or Material Support, Conducted studies in which participating hospitals and nursing homes received contributed antiseptic and cleaning products)

424. The Impact of COVID-19 Response on Infection Prevention Programs and Practices in Southeastern United States

Background

Early assessments of COVID19 preparedness reported resource shortages, use of crisis capacity strategies, variations in testing, personal protective equipment (PPE), and policies in US hospitals. One year later, we performed a follow-up survey to assess changes in infection prevention practice and policies in our diverse network of community and academic hospitals.

Methods

This was a cross-sectional electronic survey of infection preventionists in 58 hospitals within the Duke Infection Control Outreach Network (community) and Duke/UNC Health systems (academic) in April-May 2021 to follow-up our initial survey from April 2020. The follow-up survey included 26 questions related to resource availability, crisis capacity strategies, procedures, changes to PPE and testing, and staffing challenges.

Results

We received 54 responses (response rate, 93%). Facilities reported significantly fewer PPE and resource shortages in the follow-up survey compared to our initial survey (Figure 1, P< 0.05). Only 32% of respondents were still reprocessing N95 respirators (compared to 73% in initial survey, P< 0.05). All hospitals performed universal masking, universal symptom screening on entry, and 30% required eye protection. In 2020, most hospitals suspended elective surgical procedures in March-April, and restarted in May-June. Approximately 92% reported in-house testing for SARS-COV-2 by April 2020, at least a third of which had a weekly capacity of >100 tests. Almost 80% performed universal pre-operative testing, while 61% performed universal preadmission testing for SARS-COV-2. Almost all hospitals switched from test-based to time-based strategy for discontinuing isolation precautions, majority in August-September 2020. Twenty-five percent hospitals reported infection prevention furloughs, staffing cuts, and or reassignments, while 81% reported increased use of agency nursing during the pandemic.

Conclusion

Our follow-up survey reveals improvement in resource availability, evolution of PPE guidance, increase in testing capacity, and burdensome staffing changes. Our serial surveys suggest increasing uniformity in infection prevention policies, but also highlight the increase in staff turnover and infection prevention staffing shortages.

Disclosures

Sonali D. Advani, MBBS, MPH, Nothing to disclose David J. Weber, MD, MPH, PDI (Consultant)

488. SARS-CoV-2 Preparedness among Community Hospitals in Southeastern United States

Background

The SARS-CoV-2 pandemic has placed a tremendous strain on the U.S. healthcare system leading to personal protective equipment (PPE) and resource shortages. Hospitals have developed contingency and crisis capacity strategies to optimize the use of resources, but, to date, community hospital preparedness has not been described.

Methods

We performed a cross-sectional survey of infection preventionists in 60 community hospitals within the Duke Infection Control Outreach Network between April 22 and May 7, 2020 using Qualtrics. The survey included 13 questions related to resource availability, crisis capacity strategies and approaches to testing.

Results

We received 50 responses during the study period with a response rate of 83%. Community hospitals reported varying degrees of PPE shortages (Table 1); 80% of community hospitals were implementing strategies to extend and reuse N95 respirators, Powered Air-Purifying Respirators, face shields and face masks. Over 70% of facilities reported reprocessing N95 respirators (Figure 1). Almost all facilities reported universal masking at time of this survey with 90% performing daily employee screening at point of entry. Additionally, 8% of facilities restarted elective procedures at the time of this survey, but only 54% of facilities reported that they were performing preoperative testing for SARS-CoV-2. Thirty-seven percent of facilities performed one SARS-CoV-2 test before discharging an asymptomatic patient to skilled nursing facility, while 43% of facilities performed 2 tests.

Table 1- Supply of Personal Protective Equipment and other resources in 50 community hospitals in southeastern United States

Figure 1: Different methods of reprocessing N95 respirators by 50 community hospitals in southeastern United States

Conclusion

Our findings reveal differences in resource availability, crisis capacity strategies and testing approaches used by community hospitals in preparation for the SARS-COV-2 pandemic. Lack of harmonization in approaches may be in part due to differences in state guidelines and decentralized federal approach to SARS-CoV-2 preparedness.

Disclosures

All Authors: No reported disclosures

Rational screening of biomineralisation peptides for colour-selected one-pot gold nanoparticle syntheses

Biomineralisation peptides that facilitate the one-pot synthesis of gold nanoparticles (AuNPs) with selected optical properties, were screened using a coherent peptide-spotted array consisting of a AuNP binding peptide library. As the biomineralised AuNPs were captured on each peptide spot, analysis of the images provided information on their collective optical properties.

Failure to induce reactive hypoglycaemia by drinking a starch-based alcohol beverage (sorghum beer)

Alcohol is a well-recognised cause of fasting hypoglycaemia but may also provoked reactive hypoglycaemia when drunk together with a carbohydratee mixer. In this study the ability of sorghum beer (an 'in-built' alcohol-starch beverage widely enjoyed in Southern Africa) to induce reactive hypoglycaemia was compared with "gin and tonic' in eight non-obese health African men. After an overnight fast, each subject drank, in random sequence on their different occasions, 2 litres of sorghum beer (carbohydrat content approximately 5% and alcohol concentration 2.24 g/dl-2.8% v/v), the same volume of a control solution providing a similar carbohydrate load, or a gin and standard tonic water mixture. No evidence of reactive hypoglycaemia was apparent during the 5 hours after the beginning of the sorghum beer tolerance tests, despite a mean peak blood alcohol level reaching 80 mg/dl. both the peak and total plasma insulin responses were significantly reduced (p less than or equal to 0.05) when compared to the brisk responses elicited by the carbohydrate solution alone and the gin and tonic drinks, with consequent hypoglycaemia. These data suggest that African home-brews are not potent causes of reactive hypoglycaemia, although they may be implicated in the development of ethanol-induced hypoglycaemia in the fasting state.