Dataset Information

Effectiveness of a multistate quality improvement campaign in reducing risk of surgical site infections following hip and knee arthroplasty.

ABSTRACT:

Background

Quality improvement (QI) campaigns appear to increase use of evidence-based practices, but their effect on health outcomes is less well studied.

Objective

To assess the effect of a multistate QI campaign (Project JOINTS, Joining Organizations IN Tackling SSIs) that used the Institute for Healthcare Improvement's Rapid Spread Network to promote adoption of evidence-based surgical site infection (SSI) prevention practices.

Methods

We analysed rates of SSI among Medicare beneficiaries undergoing hip and knee arthroplasty during preintervention (May 2010 to April 2011) and postintervention (November 2011 to September 2013) periods in five states included in a multistate trial of the Project JOINTS campaign and five matched comparison states. We used generalised linear mixed effects models and a difference-in-differences approach to estimate changes in SSI outcomes.

Results

125 070 patients underwent hip arthroplasty in 405 hospitals in intervention states, compared with 131 787 in 525 hospitals in comparison states. 170 663 patients underwent knee arthroplasty in 397 hospitals in intervention states, compared with 196 064 in 518 hospitals in comparison states. After the campaign, patients in intervention states had a 15% lower odds of developing hip arthroplasty SSIs (OR=0.85, 95% CI 0.75 to 0.96, p=0.01) and a 12% lower odds of knee arthroplasty SSIs than patients in comparison states (OR=0.88, 95% CI 0.78 to 0.99, p=0.04).

Conclusions

A larger reduction of SSI rates following hip and knee arthroplasty was shown in intervention states than in matched control states.

SUBMITTER: Calderwood MS

PROVIDER: S-EPMC9290409 | biostudies-literature | 2019 May

REPOSITORIES: biostudies-literature

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Publications

Effectiveness of a multistate quality improvement campaign in reducing risk of surgical site infections following hip and knee arthroplasty.

Calderwood Michael S MS Yokoe Deborah S DS Murphy Michael V MV DeBartolo Katherine O KO Duncan Kathy K Chan Christina C Schneider Eric C EC Parry Gareth G Goldmann Don D Huang Susan S

BMJ quality & safety 20181008 5

<h4>Background</h4>Quality improvement (QI) campaigns appear to increase use of evidence-based practices, but their effect on health outcomes is less well studied.<h4>Objective</h4>To assess the effect of a multistate QI campaign (Project JOINTS, Joining Organizations IN Tackling SSIs) that used the Institute for Healthcare Improvement's Rapid Spread Network to promote adoption of evidence-based surgical site infection (SSI) prevention practices.<h4>Methods</h4>We analysed rates of SSI among Med ...[more]

PMID: 30297375

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Project description:BackgroundPopulation based surveillance of surgical site infections (SSIs) requires precise case-finding strategies. We sought to develop and validate machine learning models to automate the process of complex (deep incisional/organ space) SSIs case detection.MethodsThis retrospective cohort study included adult patients (age ≥ 18 years) admitted to Calgary, Canada acute care hospitals who underwent primary total elective hip (THA) or knee (TKA) arthroplasty between Jan 1st, 2013 and Aug 31st, 2020. True SSI conditions were judged by the Alberta Health Services Infection Prevention and Control (IPC) program staff. Using the IPC cases as labels, we developed and validated nine XGBoost models to identify deep incisional SSIs, organ space SSIs and complex SSIs using administrative data, electronic medical records (EMR) free text data, and both. The performance of machine learning models was assessed by sensitivity, specificity, positive predictive value, negative predictive value, F1 score, the area under the receiver operating characteristic curve (ROC AUC) and the area under the precision-recall curve (PR AUC). In addition, a bootstrap 95% confidence interval (95% CI) was calculated.ResultsThere were 22,059 unique patients with 27,360 hospital admissions resulting in 88,351 days of hospital stay. This included 16,561 (60.5%) TKA and 10,799 (39.5%) THA procedures. There were 235 ascertained SSIs. Of them, 77 (32.8%) were superficial incisional SSIs, 57 (24.3%) were deep incisional SSIs, and 101 (42.9%) were organ space SSIs. The incidence rates were 0.37 for superficial incisional SSIs, 0.21 for deep incisional SSIs, 0.37 for organ space and 0.58 for complex SSIs per 100 surgical procedures, respectively. The optimal XGBoost models using administrative data and text data combined achieved a ROC AUC of 0.906 (95% CI 0.835-0.978), PR AUC of 0.637 (95% CI 0.528-0.746), and F1 score of 0.79 (0.67-0.90).ConclusionsOur findings suggest machine learning models derived from administrative data and EMR text data achieved high performance and can be used to automate the detection of complex SSIs.

Project description:BACKGROUND:Surgical site infections following total hip or knee arthroplasties have a reported rate of 0.49%-2.5% and can cause significant morbidity as well as tripling the cost of health care expenses. Both methicillin sensitive and methicillin resistant strains of Staphylococcus aureus surgical site infections have been established as a major risk factor for postoperative surgical site infections. S. aureus colonizes the nose, axillae, and perineal region in up to 20%-30% of individuals. Although the literature has reported a higher prevalence of methicillin resistant S. aureus in the South Asian population, routine preoperative screening and prophylaxis have not yet been implemented. OBJECTIVE:The primary objective of our study is to identify the relationship between preoperative colonization status of S. aureus and incidence of postoperative surgical site infections in patients undergoing following total hip and knee arthroplasties. As part of the secondary objectives of this study, we will also investigate patient characteristics acting as risk factors for S. aureus colonization as well as the outcomes of total hip and knee arthroplasty patients which are affected by surgical site infections. METHODS:This prospective cohort study will comprise of screening all patients older than 18 years of age admitted to the Aga Khan University Hospital for a primary total hip or knee arthroplasty for preoperative colonization with S. aureus. The patients will be followed postoperatively for up to one year following the surgery to assess the incidence of surgical site infections. The study duration will be 2 years (March 2018 to March 2020). For the purpose of screening, pooled swabs will be taken from the nose, axillae, and groin of each patient and inoculated in a brain heart infusion, followed by subculture onto mannitol salt agar and sheep blood agar. For methicillin resistant S. aureus identification, a cefoxitin disk screen will be done. Data will be analyzed using SPSS v23 and both univariate and multivariate regression analysis will be conducted. RESULTS:Data collection for this study will commence at the Aga Khan University Hospital, Pakistan during March 2018. CONCLUSIONS:This study will not only estimate the true burden caused by S. aureus in the population under study but will also help identify the patients at a high risk of surgical site infections so that appropriate interventions, including prophylaxis with antibiotics such as muciprocin ointment or linezolid, can be made. Given the differences in lifestyle, quality, and affordability of health care and the geographical variation in patterns of antibiotic resistance, this study will contribute significantly to providing incentive for routine screening and prophylaxis for S. aureus including methicillin resistant S. aureus colonization in the South Asian population. REGISTERED REPORT IDENTIFIER:RR1-10.2196/10219.

Project description:BackgroundSurgical site infection is a devastating postoperative complication, and the occurrence ranges from 1% to 2% after total knee arthroplasty (TKA). The efficacy of the preoperative use of chlorhexidine for reducing infection has been debated. This meta-analysis aimed to examine the efficacy of the use of chlorhexidine to prevent surgical site infections after TKA.MethodsIn February 2017, a systematic literature review was conducted using the following electronic databases: PubMed, EMBASE, Web of Science, Cochrane Database of Systematic Reviews, and the Google database. Data from randomized controlled trials (RCTs) and retrospective comparative study (RCS) that compared the use of chlorhexidine versus control washes to prep patients for TKA were retrieved. The primary endpoint was to compare the total incidence of infection with and without the use of chlorhexidine. The secondary outcomes were the incidence of infection in low-risk category patients, moderate-risk category patients, and high-risk category patients. After testing for publication bias and heterogeneity between studies, data were aggregated for random-effects modeling when necessary.ResultsFour clinical trials that included 8787 patients (chlorhexidine group: n = 2615, control group: n = 6172) were ultimately included in the meta-analysis. Chlorhexidine was associated with a reduced total incidence of infection, corresponding to a reduction of 1.69% [risk ratio (RR) = 0.22; 95% confidence interval (95% CI) = 0.12-0.40; P = .000]. Similarly, chlorhexidine was associated with a reduction in the incidence of infection among patients in the moderate-risk category (RR, 0.18; 95% CI, 0.05-0.63; P = .007) and the high-risk category (RR, 0.13; 95% CI, 0.03-0.67; P = .014). There was no significant difference between the incidence of infection in low-risk category patients with chlorhexidine use compared with the use of control washes (RR, 0.60; 95% CI, 0.22-1.60; P = .330).ConclusionThe preoperative use of chlorhexidine could reduce the total incidence of infection and the incidence of infection in moderate-risk and high-risk category patients. The overall evidence and the number of included studies was limited; thus, a greater number of high-quality RCTs is still needed to further identify the effects of chlorhexidine on reducing the incidence of infection after TKA.

Project description:IntroductionSurgical site infection (SSI) is a potential complication of surgical procedure. SSI after implant surgery is a disaster both for patients and surgeons. Although predictive tools for SSI are available, none of them estimate early infection based on inflammatory blood parameters. The inflammatory process can be measured using several parameters including interleukin-6, C reactive protein, neutrophil to lymphocyte ratio, white cell count, erythrocyte sedimentation rate or procalcitonin. This systematic review aims to determine whether inflammatory blood parameters could be used as significant predictive factors for SSI after primary hip or knee arthroplasty.Methods and analysisA systematic review of randomised controlled trials, cross-sectional studies, case-control studies and cohort studies, published in English, will be searched in the following electronic bibliographic databases: MEDLINE, Embase, PubMed, Cochrane Central Register of Controlled Trials and Web of Science. Studies performed in adult patients of all ages who underwent knee or hip arthroplasty, studies containing data on the risk/prognostic factors for preknee or postknee or hip arthroplasty SSI and studies with a minimum follow-up of 30 days after surgery will be included. A standardised form will be used to extract data from the included studies comprising study characteristics, participant characteristics, details of the intervention, study methodology and outcomes. Quality Assessment of Diagnostic Accuracy tool, second version, and Standards for Reporting of Diagnostic Accuracy Studies checklist will be used to assess risk of bias. Heterogeneity will be assessed using Cochran χ² statistic and I2 statistics where applicable. Grading of Recommendations Assessment, Development and Evaluation and Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidance will be used to report findings.Ethics and disseminationNo ethics approval is required. The findings will be disseminated at national and international scientific sessions, also to be published in a peer-reviewed journal.Prospero registration numberCRD42020147925.

Dataset Information

Effectiveness of a multistate quality improvement campaign in reducing risk of surgical site infections following hip and knee arthroplasty.

Background

Objective

Methods

Results

Conclusions

Publications

Effectiveness of a multistate quality improvement campaign in reducing risk of surgical site infections following hip and knee arthroplasty.

Similar Datasets

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