Compliance with Surgical Care Improvement Project Measures and Hospital-Associated Infections Following Hip Arthroplasty

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1 1359 COPYRIGHT Ó 2012 BY THE JOURNAL OF BONE AND JOINT SURGERY, INCORPORATED Compliance with Surgical Care Improvement Project Measures an Hospital-Associate Infections Following Hip Arthroplasty Zhong Wang, PhD, MPH, Foster Chen, BS, Michael War, MD, an Timothy Bhattacharyya, MD Investigation performe at the Clinical Trials an Outcomes Branch, Intramural Research Program, National Institute of Arthritis an Musculoskeletal an Skin Diseases, National Institutes of Health, Bethesa, Marylan Backgroun: Hospital compliance with the Surgical Care Improvement Project (SCIP) measures has increase recently for patients unergoing hip arthroplasty. However, reuctions in postoperative infections were less than expecte, an concern remains about complications associate with prophylaxis against venous thromboembolism (VTE). We sought to examine the association between hospital aherence to SCIP measures an postoperative infections. Methos: We conucte an observational stuy of 17,714 patients who unerwent hip replacement in 2008 at 128 New York state hospitals. These hospitals were ivie into less compliant an highly compliant groups, on the basis of their levels of compliance compare with the meian value of compliance with SCIP measures. From the New York State Department of Health annual report, we collecte the confirme postoperative infections at the facility level. From the Healthcare Cost an Utilization Project state inpatient atabase, we ientifie inciences of postoperative infections at the patient level, using International Classification of Diseases, Ninth Revision, Clinical Moification iagnosis coes. Results: During 2008, mean hospital compliance increase from 93.5% to 96.0% for the infection prevention measure an from 91.4% to 97.5% for the VTE prevention measure. Higher aherence to infection prevention measures was not associate with a significant reuction in infection (p 0.09 for all). Hospitals that were at least 97% compliant with the SCIP VTE-2 measure (patients receiving VTE prophylaxis aroun the time of surgery) reporte significantly higher infection rates compare with less compliant hospitals (1.60% versus 0.93%; p < 0.001). Similarly, patients from highly compliant hospitals (for the VTE-2 measure) were at significant risk of postoperative infection (ajuste os ratio, 1.50; 95% confience interval, 1.07 to 2.12; p = 0.02). Conclusions: Targeting complete compliance with SCIP infection prevention measures was not associate with aitional reuctions in infection outcomes following hip replacement. Furthermore, significant risk of postoperative infections may result from increase perioperative use of VTE prophylactics. Level of Evience: Therapeutic Level III. See Instructions for Authors for a complete escription of levels of evience. Disclosure: None of the authors receive payments or services, either irectly or inirectly (i.e., via his or her institution), from a thir party in support of any aspect of this work. One or more of the authors, or his or her institution, has ha a financial relationship, in the thirty-six months prior to submission of this work, with an entity in the biomeical arena that coul be perceive to influence or have the potential to influence what is written in this work. Also, one or more of the authors has ha another relationship, or has engage in another activity, that coul be perceive to influence or have the potential to influence what is written in this work. The complete Disclosures of Potential Conflicts of Interest submitte by authors are always provie with the online version of the article. This article was chosen to appear electronically on June 27, 2012, before publication of the final, efinitive version. A commentary by B. Sonny Bal, MD, JD, MBA, is linke to the online version of this article at jbjs.org. Disclaimer: The views expresse in this article are solely those of the authors an o not reflect the official policy or position of the National Institutes of Health, National Institute of Arthritis an Musculoskeletal an Skin Diseases, or the U.S. government. J Bone Joint Surg Am. 2012;94:

2 1360 In the Unite States, approximately 300,000 patients unerwent total hip arthroplasty in 2005, with a projecte increase of up to 200% by Although hospital-associate infections following hip replacement evelop in 0.2% to 1.1% of patients 2, they are serious complications that increase the rate of morbiity an the buren to the health-care system 3 an remain as one of the main reasons for revision arthoplasty 4. Aitionally, patients having a hip replacement are at high risk for venous thromboembolism (VTE) an, without the use of prophylaxis, 15% to 60% of them woul evelop eep vein thrombosis an 0.5% to 2% woul have a fatal pulmonary embolism 5.In 2008, the U.S. Centers for Meicare an Meicai Services (CMS) ae VTE to the list of preventable complications that are referre to as never events, thereby reucing the reimbursement amount payable to hospitals if patients experience these events following hip replacement 6. Concerns over hospital-associate complications le to the evelopment of clinical guielines an implementation of process measures such as those from the Surgical Care Improvement Project (SCIP) 7. There are four SCIP measures against postoperative infections (INF) an two against VTE relate to hip arthroplasty. SCIP INF-1 measures the percentage of hospital patients who receive prophylactic antibiotics within one hour prior to surgical incision. SCIP INF-2 measures the percentage of hospital patients who receive prophylactic antibiotics recommene for their specific surgical proceure. SCIP INF-3 measures the percentage of hospital patients whose prophylactic antibiotics were iscontinue within twenty-four hours after surgery en time. SCIP INF-6 measures the percentage of hospital patients with appropriate removal of surgical site hair with clippers or epilatory or those not requiring removal of surgical site hair. SCIP VTE-1 measures the percentage of hospital patients with recommene VTE prophylaxis orere. SCIP VTE-2 measures the percentage of hospital patients who receive appropriate venous thromboembolism prophylaxis (except aspirin) within twenty-four hours before surgery to twenty-four hours after surgery. SCIP measures against infections have been evaluate recently in a multi-institutional setting with minimal reuction in infections ientifie Process measures relate to VTE prophylaxis are not without controversy. Anticoagulation has been associate with a higher risk of surgical complications, as shown in meta-analysis 11,casecontrol 12-14, retrospective 15, an prospective 16 cohort stuies. These results challenge those of earlier clinical trials in which patients with a higher risk of bleeing an other complications were exclue. Clinicians have long suspecte that patients with chemical prophylaxis against VTE have increase woun rainage an hematoma rates, which results in an increase risk of infection 14. Thus, there remains isagreement regaring the optimal VTE prophylaxis after total hip arthroplasty 17. One committee 18 has highly recommene pharmacologic prophylaxis, while another committee report 19 has expresse substantial concerns over high rates of bleeing an hematoma among patients with use of prophylaxis. In this stuy, we sought to evaluate the effect of the SCIP prevention measures against postoperative infection. Furthermore, we aresse the issue of possible cross-measure association between compliance with SCIP VTE prevention measures an levels of postoperative infections. Materials an Methos Data Sources Each year since 2007, the New York State Department of Health has auite 186 hospitals an its annual report has ientifie infections from 100% of reporting hospitals. The New York State Department of Health joine the National Healthcare Safety Network organize by the Centers for Disease Control an Prevention an became the first state to publicly report hospitalacquire infections for all hospitals that performe selecte surgical proceures. Accoring to its 2008 annual report, 171 hospitals performe a total of 23,611 hip arthroplasties an reporte 274 surgical site infections following hip replacement 20. To incorporate patient-level ata an assess the postoperative infections, we use the 2008 New York State Inpatient Database from the Healthcare Cost an Utilization Project (HCUP) sponsore by the Agency for Healthcare Research an Quality (AHRQ) 21. This file was linke to the 2008 state inpatient atabase revisit supplemental file to track patients longituinally for initial hospitalization an reamission within a year. In aition, process measures from the New York quality improvement organization (IPRO, Lake Success, New York) were also merge by hospital. We successfully linke those ischarge recors from 17,882 patients to 153 hospitals from the New York State Department of Health report, an then to the American Hospital Association 2008 survey guie, such that infection outcomes an hospital characteristics from matche hospitals were linke to each ischarge recor relate to hip replacement. Because ata from the New York State Department of Health were publicly available an the atabase from AHRQ containe only eientifie information, the stuy was exempte by the institutional review boars at the National Institutes of Health. Linkage of AHRQ ata with other ata was performe at the hospital level. Outcome Measures We obtaine a hospital-level rate of surgical site infections following hip replacements from the New York State Department of Health 2008 annual report. Infections were efine as those ientifie uring the patient s initial hospital ischarge or reamission, with the clinical efinitions as superficial, eep, an organ space infections on the basis of the National Healthcare Safety Network criteria, although the specific types were not liste in the public release file 20. Each case of surgical site infection was reporte by the iniviual hospital. During the pilot year 2007, reports of infection from each hospital were auite for accuracy accoring to guielines from the National Healthcare Safety Network 22. We also capture the infection outcomes using patient-level ata from the state inpatient atabase. The postoperative infection was ascertaine with the International Classification of Diseases, Ninth Revision, Clinical Moification (ICD-9-CM) coes. We ientifie inex hospitalizations for hip replacements using ICD-9-CM proceure coes. The postoperative infections were capture either as a seconary iagnosis uring initial hospitalization or a reamission with any relate iagnosis within the calenar year, into the same hospital or any other HCUP hospitals in the state of New York. We exclue patients with a iagnosis of infection or VTE on amission. The ICD-9-CM coes for postoperative infection were 998.5, , or for those occurring within thirty ays after hip replacement an 996.6, , , or for those occurring within a year after hip replacement. Data Analysis We estimate that, on the basis of the assumption that the baseline rate of surgical site infection was 1%, the sample size that was neee to etect a 50% increase in

3 1361 TABLE I Patient Characteristics Total (N = 17,714) Less Compliance* (N = 9568) High Compliance (N = 8146) Patient characteristics No. % No. % No. % Age (y) Race White 15, Black Other Sex Male Female 10, Comorbiity Amission type (n = 17,770) Emergency Urgent Elective 11, Primary payer Meicare 10, Meicai Private Uninsure Other Teaching hospital (n = 17,342) No 11, Yes Hospital be size (n = 17,686) Small Meium Large 14, Hospital ownership (n = 17,686) Government Private 15, Hospital location (n = 17,686) Rural Urban 16, Hospital volume (no. of total hip replacements per year) *Base on hospital compliance that was less than the meian value of the SCIP VTE-2 measure. Base on hospital compliance that was higher than the meian value of the SCIP VTE-2 measure. All iniviuals with ata on race as missing or those ientifie as other than white or black. Data were unavailable for some patients.

4 1362 TABLE II Risk Ratio of Postoperative Infections by Aherence to SCIP Prevention Measures an Volume Measure* Hospital Data Patient Data SCIP INF-1 aherence 0.98 ( ) 0.83 ( ) SCIP INF-2 aherence 0.93 ( ) 1.02 ( ) SCIP INF-3 aherence 0.74 ( ) 1.21 ( ) SCIP INF-6 aherence 1.35 ( ) 0.93 ( ) SCIP VTE-1 aherence 0.98 ( ) 0.92 ( ) SCIP VTE-2 aherence 1.91 ( ) 1.50 ( ) Hospital case volume 0.64 ( ) 1.05 ( ) *Aherence was base on whether hospital compliance was lower or higher than the meian value of respective SCIP measure compliance or case volume. INF-1 inicates that the prophylactic antibiotic was receive within one hour prior to surgical incision; INF-2, that prophylactic antibiotics were recommene for the specific surgical proceure; INF-3, that prophylactic antibiotics were iscontinue within twenty-four hours after surgery en time; INF-6, that appropriate surgical site hair removal was one or surgical site hair removal was not require; VTE-1, that patients having surgery ha recommene VTE prophylaxis orere; an VTE-2, that patients having surgery receive appropriate VTE prophylaxis within twentyfour hours before surgery to twenty-four hours after surgery. The values are given as the ajuste OR with the 95% CI in parentheses. Another significant factor was teaching hospitals (p = 0.004). Another significant factor was amission type (p < ), ajuste aitionally for sex (p = 0.1) an comorbiity (p = 0.1). patient clustering by hospital. For these two moels, we respectively use proceures COUNTREG an GLIMMIX of SAS 9.2 software (SAS Institute, Cary, North Carolina). Statistical tests were performe at a two-taile significance level of <0.05. Source of Funing This research was supporte by the Intramural Research Program of the National Institute of Arthritis an Musculoskeletal an Skin Diseases of the National Institutes of Health (NIH). Foster Chen was supporte by the Clinical Research Training Program at NIH. Results Demographic Data Table I shows the emographic characteristics of 17,714 patients ischarge from the 128 hospitals after twentyfive hospitals that performe less than twenty hip arthroplasties per year ha been exclue from the total of 153 hospitals (see Materials an Methos). The patient cohort was ichotomize on the basis of the meian value of the SCIP VTE-2 prevention measure. Hospitals with higher compliance were more likely to be teaching hospitals, smaller hospitals, an private hospitals in rural areas. Improvements in Compliance with SCIP Measures Figures 1-A an 1-B show the quarterly means of hospital compliance from April 1, 2007, through September 30, While there was a graual improvement of SCIP infection prevention this rate, with 80% power an a 95% confience level, was 7963 patients for each group. Since we ha 17,714 patients in the cohort, we ivie the cohort into two groups on the basis of the levels of compliance with SCIP measures. Hospitals with greater than the meian level of compliance were esignate as the highly compliant group, leaving the others that were equal to or below the meian level of compliance as the less compliant group. With surgical volume treate the same way, we analyze all SCIP measure an surgical volume covariates as binary variables. We use locally weighte polynomial regression or scatterplot smoothing (LOESS) 23 to visualize the nonlinear relationship between the risk-ajuste infection rates an surgical volume or compliance with VTE prevention measures. To further quantify the association between compliance with SCIP measures an infection outcomes, we use generalize linear regression to stuy such relationships on facility levels an generalize linear mixe moels to analyze the patient-level ata. We inclue the following covariates: age; sex; amission type (emergency, urgent, or elective); comorbiity inex (0, 1, 2, or 3); hospital surgical volume (twenty to 102, or 103 to 645 total hip replacements [hospitals with a volume of less than twenty total hip arthroplasties per year were exclue, since ata from these hospitals were reporte as not applicable in the New York State annual report]); hospital teaching status, location, be size, an ownership; primary payer; an iniviual SCIP measures (INF-1, INF-2, INF-3, INF-6, VTE-1, an VTE-2). We incorporate all of the SCIP measures in the final moel an eliminate other covariates that were not relevant on the basis of univariate analysis (p > 0.2). The comorbiity inex was base on comorbiities ientifie in hospital ischarge recors with use of the iagnosis coing of ICD-9-CM 24.For hospital-level analyses, we use the numbers of infections as outcomes an proceures reporte by each hospital as offset to moel the infection rates. Because of excessive zero outcomes (forty-five of 128 hospitals), we use the zero-inflate negative binomial regression of the generalize linear moel for the hospitallevel ata. As for patient-level analysis, we use hierarchical logistic regression from the generalize linear mixe moel, taking into consieration TABLE III Risk Ratio of Postoperative Infection After Elective an Nonelective Hip Arthroplasty Measure* Elective Surgery Nonelective Surgery SCIP INF-1 aherence 0.59 ( ) 0.99 ( ) SCIP INF-2 aherence 0.88 ( ) 0.97 ( ) SCIP INF-3 aherence 1.54 ( ) 1.17 ( ) SCIP INF-6 aherence 0.74 ( ) 1.04 ( ) SCIP VTE-1 aherence 0.84 ( ) 0.88 ( ) SCIP VTE-2 aherence 2.30 ( ) 1.32 ( ) Hospital case volume 0.57 ( ) 1.10 ( ) *Aherence was base on whether hospital compliance was lower or higher than the meian value of respective SCIP measure compliance or case volume. INF-1 inicates that the prophylactic antibiotic was receive within one hour prior to surgical incision; INF-2, that prophylactic antibiotics were recommene for the specific surgical proceure; INF-3, that prophylactic antibiotics were iscontinue within twenty-four hours after surgery en time; INF-6, that appropriate surgical site hair removal was one or surgical site hair removal was not require; VTE-1, that surgery patients ha recommene VTE prophylaxis orere; an VTE-2, that surgery patients receive appropriate VTE prophylaxis within twenty-four hours before surgery to twenty-four hours after surgery. The values are given as the ajuste OR with the 95% CI in parentheses. Other significant factors were age (p = 0.001) an comorbiity (p = 0.03). Another significant factor was primary payer (p = 0.002).

5 1363 Fig. 1-A Fig. 1-B Figs. 1-A an 1-B Graphs showing quarterly hospital compliance with SCIP (Surgical Care Improvement Project) process measures from April 1, 2007, through September 30, The values are given as the mean of the overall infection or VTE (venous thromboembolism) prevention measures from all reporte hospitals. The overall infection or VTE prevention measure was the average of iniviual infection or VTE prevention measures, respectively. Fig. 1-A A graual improvement was seen in the overall SCIP infection prevention measures, compare with a step increase in the overall SCIP VTE prevention measure right before the thir quarter of Fig. 1-B Substantial increases were also seen in iniviual SCIP VTE-1 an VTE-2 measures.

6 1364 Fig. 2 Locally weighte scatterplot smoothing (LOESS) estimates of hospital-reporte risk-ajuste rates of surgical site infections (SSI) following total hip replacement by compliance with the SCIP VTE-2 measure. The fitte lines inicate the mean; shae areas inicate the 95% CI. measures uring this perio, a marke increase in VTE prevention measures was seen early in 2008, particularly in the first two quarters. Aitionally, the mean compliance on the overall infection prevention measure increase from 93.5% to 96.0% uring 2008, whereas the overall VTE prevention measure increase from 91.4% to 97.5%. Specifically, the mean VTE prevention measures increase from 92.5% to 97.2% for VTE-1 an from 88.4% to 93.2% for VTE-2. Associations Between Hospital-Associate Infections an Case Volume, or SCIP Compliance The Appenix shows the unajuste incience rate of postoperative infections at the hospital level. Hospitals with higher aherence to SCIP infection prevention measures (INF-1, INF-2, INF-3, an INF-6) i not manifest a significantly lower infection rate. For example, for hospitals that were highly compliant (95.2% to 100% for SCIP INF-1), the mean infection rate was 1.31%, which was not significantly ifferent from the rate of 1.17% for less compliant hospitals (50.0% to 95.1% for SCIP INF-1; p = 0.39). However, higher levels of aherence to SCIP VTE-1 or VTE-2 measures were associate with significantly higher rates of infection (p < for all; see Appenix). Specifically, postoperative infection rates for hospitals with higher than meian values of compliance with VTE prevention measures tene to be higher than the state average of 1.4% (1.52% [95% confience interval (CI), 1.29% to 1.80%] for VTE-1 an 1.60% [95% CI, 1.35% to 1.91%] for VTE-2). On the other han, postoperative infection rates for hospitals with lower than meian values of compliance with VTE prevention measures were significantly lower than the state average (0.95% [95% CI, 0.77% to 1.17%] for VTE-1 an 0.93% [95% CI, 0.76% to 1.14%] for VTE-2). There was a significant an negative association between hospital case volumes an risk-ajuste infection rates for the hospitals with 150 hip replacements per year (p < ) (see Appenix). For hospitals that ha >150 hip replacements per year, the association was not significant. In contrast, for hospitals with SCIP VTE-2 compliance higher than approximately 95%, a positive association was foun between this compliance an risk-ajuste postoperative infection rates (Fig. 2). For hospitals with SCIP VTE-2 compliance of 95%, the association was absent. The apparent 54% reuction in postoperative infections seen among high-volume hospitals was mirrore by a 60% increase in infection rates associate with higher aherence to the SCIP VTE-2 measure. Risk of Postoperative Infections Associate with SCIP VTE Compliance In the final moel for hospital-level analysis that inclue all of the SCIP measures, hospital case volume, an teaching status, the last two factors were both associate with significantly lower risks of postoperative infections (Table II). Among all of the SCIP measures, only that with VTE-2 was associate with a significantly higher rate of infections (ajuste os ratio

7 1365 [OR]: 1.91; 95% CI, 1.31 to 2.79). Similarly, on the patientlevel analysis, the ajuste risks of infection were significantly higher for hospitals with higher compliance with VTE-2 (ajuste OR: 1.50; 95% CI, 1.07 to 2.12; p = 0.02), but not with VTE-1 (p = 0.63). Subgroup Analysis: Patients with Elective Hip Arthroplasty Because amission type was a strong confouner for our stuy (Table II), we conucte separate analyses for elective an nonelective hip replacements. Table III showe that the risks of postoperative infections were significantly elevate for the patients unergoing elective hip arthroplasty in hospitals that were highly compliant with SCIP VTE-2 measures compare with similar patients from less compliant hospitals (ajuste OR: 2.30; 95% CI, 1.20 to 4.40). Sensitivity Analysis: Patients with Elective Hip Arthroplasty Consiering the arbitrary nature of setting cutoff at the meian value for comparison, we conucte sensitivity analyses to vary the cutoff point for the ichotomization from the efault at 50% own to 25% or up to 75%. The results are presente in the Appenix. The cross-measure associations of SCIP VTE-2 compliance with infection outcomes were robust from approximately 42% to about 58% (within 15% of the meian [50%]). Discussion Implementation an expansion of the SCIP has greatly improve hospital compliance with its process measures, while manatory reporting of hospital-associate infections has mae the evaluation of these process measures possible. In this report, we linke the publicly available report with hospital ischarge recors to estimate the impact of hospital compliance with SCIP measures on clinical outcomes of surgical care across a large state in the U.S. Consistent with recent stuies 8-10, we i not fin any significant effect on postoperative infections ue to hospital compliance with SCIP infection prevention measures. Instea, we foun an association between hospital compliance with VTE prevention measures an higher levels or risks of postoperative infections. This implies that manating a complete compliance with SCIP VTE prevention measures may have unintene consequences relate to the infection outcomes following hip replacement. To our knowlege, this stuy is the first to aress the potential issue of a cross-measure effect. Furthermore, we showe that such an association was specific to the VTE-2 measure. For most of the hip replacements, compliance with the VTE-2 measure moality is efine as the timely application of prophylactic agents, incluing warfarin, low-molecular-weight heparin, or factor Xa inhibitor. Our results are consistent with an etiological relationship between the aministration of low-molecular-weight heparin an the ensuing risk relate to surgical site infections 16. A recent meta-analysis stuy inicate that low-molecular-weight heparin reuce nonfatal VTE at the expense of hematoma formation 25. Postoperative hematoma formation, woun rainage, an a mean international normalize ratio of >1.5 were risk factors for periprosthetic infection 14. Therefore, the cross-measure association we observe is not unexpecte because of the potential risks of bleeing an other complications following VTE pharmacologic prophylaxis. Aitionally, given that the infection rate following hip replacement was low, the absolute increase in the rate of postoperative infections associate with higher compliance with SCIP VTE measures remaine small. Since October 1, 2008, CMS has cease payment for reasonably preventable events that inclue VTE following hip replacement. Aroun that ate, we saw marke increases in hospital compliance with VTE prevention measures. It is likely that these increases were the result of changes in the types of prophylactics an/or timing of prophylaxis that surgeons prescribe for patients. For example, by switching from warfarin to low-molecular-weight heparin, compliance with VTE-2 measures coul be more easily implemente an tracke. For surgeons who preominantly prescribe low-molecular-weight heparin, perioperative application may be the etermining factor for measure compliance. Both changes have been shown to be associate with increase bleeing episoes 26,27, which might lea to more infections. Our epiemiological investigation provies a unique opportunity to stuy rare postoperative events such as surgical site infection an VTE. However, there are several important limitations in our stuy. First, our patient-level ata were erive from aministrative ata, which have questionable sensitivity an specificity, an may introuce biases. Secon, both compliance an hospital-reporte ata were at the facility level, making the association we escribe ecological in nature. However, the high compliance rates among hospitals mean that most, if not all, patients were compliant, making the ecological fallacy less problematic. Thir, although we ajuste for age, sex, insurance status, hospital volume, an comorbiities in our patientlevel analysis, we i not have information about other risk factors such as uration of surgery, American Society of Anesthesiologists (ASA) classification score (a measure of the severity of illness), surgeon volume, posttraumatic osteoarthritis, an preoperative stay 2. Aitionally, we i not single out risk factors such as obesity, iabetes, an coagulation eficiency. However, in our hospital-level analyses, we visualize the cross-measure association by plotting infection rates that ha been risk-ajuste by woun class, ASA score, an uration of surgery. Fourth, we i not have ata separately for superficial an eep prosthetic infections, which may represent istinctly ifferent clinical outcomes. It shoul be mentione that the New York State annual report only summarize the overall proportions of superficial an eep incision infections at 33% an 45%, respectively (with the rest being organ space infections). Finally, our results from one state may not be generalize to other states or to the U.S. as a whole. Our finings may be specific to the year 2008, a year when the CMS ruling took effect. Overall, in the current state of high compliances for most hospitals, a lack of utility in the SCIP measures with limite crossmeasure effect size is not unexpecte an may be inherent within the esign of this stuy. Further stuies are neee to replicate

8 1366 these finings an aress the utility of SCIP VTE measures for the prevention of their intene outcomes of VTE. Despite these limitations, our stuy suggests that hospitals participating in the SCIP might nee to consier not only bleeing risk but surgical site infections as well when implementing their VTE prophylaxis guielines for patients unergoing hip replacement. In conclusion, for hospitals that provie surgical care for patients unergoing total hip arthroplasty, incremental compliances with SCIP infection prevention measures were not associate with significant reuction in postoperative surgical site infections. Yet, the relationship between VTE prophylaxis compliance an surgical site infections is alarming, given that both VTE an infections are targete by SCIP performance measures. The nature an clinical importance of this cross-measure association are not known an warrant further investigation. Appenix Figures an a table showing the association between compliances an infection rates an a sensitivity analysis are available with the electronic version of this article on our web site at jbjs.org. n NOTE: IPRO, Inc., provie the SCIP compliance ata. The authors thank the state of New York for participating in the Healthcare Cost an Utilization Project state inpatient atabase in The authors also thank Dr. Remington Nevin for initial review of this manuscript. Zhong Wang, PhD, MPH Foster Chen, BS Michael War, MD Timothy Bhattacharyya, MD CTOB/IRP/NIAMS/NIH, Builing 10 CRC, Room , 10 Center Drive, MSC 1468, Bethesa, MD aress for Z. Wang: john.wang@nih.gov References 1. Kurtz S, Ong K, Lau E, Mowat F, Halpern M. Projections of primary an revision hip an knee arthroplasty in the Unite States from 2005 to J Bone Joint Surg Am Apr;89(4): Urquhart DM, Hanna FS, Brennan SL, Wluka AE, Leer K, Cameron PA, Graves SE, Cicuttini FM. 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