Metabolic and Bariatric Surgery Accreditation and Quality Improvement Program: Bariatric Surgical Risk/Benefit Calculator: 1-year comorbidity remission.

BACKGROUND: Clinical calculators can provide patient-personalized estimates of treatment risks and health outcomes. The American College of Surgeons Metabolic and Bariatric Surgery Accreditation and Quality Improvement Program (MBSAQIP) set out to create a publicly available tool to assess both short-term postoperative risk and long-term benefits for prospective adult patients eligible for 1 of 4 primary bariatric procedures. The calculator is comprised of multiple prediction elements: (1) 30-day postoperative risk, (2) 1-year body mass index projections, and (3) 1-year comorbidity remission. OBJECTIVES: To assess the performance of the 1-year comorbidity remission prediction feature of the calculator. SETTING: Not-for-profit organization clinical data registry. METHODS: MBSAQIP data across 4.5 years from 240,227 total patients indicating at least 1 comorbidity of interest present preoperatively and who had a 1-year follow-up record documenting their comorbidity status were included. Six models were constructed, stratified by the presence of the respective preoperative comorbidity: hypertension, hyperlipidemia, gastroesophageal reflux disease, sleep apnea, non-insulin-dependent diabetes, and insulin-dependent diabetes. A multinomial logistic regression model was used to predict 1-year remission (total, partial, or no remission) of insulin-dependent diabetes. All other outcomes were binary (yes or no at 1 yr), and ordinary logistic regression models were used. RESULTS: All models showed adequate discrimination (C statistics ranging from .58 to .68). Plots of observed versus predicted remission (%) showed excellent calibration across all models. CONCLUSION: All remission models were well calibrated with sufficient discrimination. The MBSAQIP Bariatric Surgical Risk/Benefit Calculator is a publicly available tool intended for integration into clinical practice to enhance patient-clinician discussions and informed consent.

The Accuracy of the NSQIP Universal Surgical Risk Calculator Compared to Operation-Specific Calculators.

Objective: To compare the performance of the ACS NSQIP "universal" risk calculator (N-RC) to operation-specific RCs. Background: Resources have been directed toward building operation-specific RCs because of an implicit belief that they would provide more accurate risk estimates than the N-RC. However, operation-specific calculators may not provide sufficient improvements in accuracy to justify the costs in development, maintenance, and access. Methods: For the N-RC, a cohort of 5,020,713 NSQIP patient records were randomly divided into 80% for machine learning algorithm training and 20% for validation. Operation-specific risk calculators (OS-RC) and OS-RCs with operation-specific predictors (OSP-RC) were independently developed for each of 6 operative groups (colectomy, whipple pancreatectomy, thyroidectomy, abdominal aortic aneurysm (open), hysterectomy/myomectomy, and total knee arthroplasty) and 14 outcomes using the same 80%/20% rule applied to the appropriate subsets of the 5M records. Predictive accuracy was evaluated using the area under the receiver operating characteristic curve (AUROC), the area under the precision-recall curve (AUPRC), and Hosmer-Lemeshow (H-L) P values, for 13 binary outcomes, and mean squared error for the length of stay outcome. Results: The N-RC was found to have greater AUROC (P = 0.002) and greater AUPRC (P < 0.001) compared to the OS-RC. No other statistically significant differences in accuracy, across the 3 risk calculator types, were found. There was an inverse relationship between the operation group sample size and magnitude of the difference in AUROC (r = -0.278; P = 0.014) and in AUPRC (r = -0.425; P < 0.001) between N-RC and OS-RC. The smaller the sample size, the greater the superiority of the N-RC. Conclusions: While operation-specific RCs might be assumed to have advantages over a universal RC, their reliance on smaller datasets may reduce their ability to accurately estimate predictor effects. In the present study, this tradeoff between operation specificity and accuracy, in estimating the effects of predictor variables, favors the N-R, though the clinical impact is likely to be negligible.

The past, present and future of ACS NSQIP-Pediatric: Evolution from a quality registry to a comparative quality performance platform.

Quality and process improvement (QI/PI) in children's surgical care require reliable data across the care continuum. Since 2012, the American College of Surgeons' (ACS) National Surgical Quality Improvement Program-Pediatric (NSQIP-Pediatric) has supported QI/PI by providing participating hospitals with risk-adjusted, comparative data regarding postoperative outcomes for multiple surgical specialties. To advance this goal over the past decade, iterative changes have been introduced to case inclusion and data collection, analysis and reporting. New datasets for specific procedures, such as appendectomy, spinal fusion for scoliosis, vesicoureteral reflux procedures, and tracheostomy in children less than 2 years old, have incorporated additional risk factors and outcomes to enhance the clinical relevance of data, and resource utilization to consider healthcare value. Recently, process measures for urgent surgical diagnoses and surgical antibiotic prophylaxis variables have been developed to promote timely and appropriate care. While a mature program, NSQIP-Pediatric remains dynamic and responsive to meet the needs of the surgical community. Future directions include introduction of variables and analyses to address patient-centered care and healthcare equity.

The Metabolic and Bariatric Surgery Accreditation and Quality Improvement Program Bariatric Surgical Risk/Benefit Calculator: 1-year weight.

BACKGROUND: Data-driven tools can be designed to provide patient-personalized estimates of health outcomes. Clinical calculators are commonly built to assess risk, but potential benefits of treatment should be equally considered. The American College of Surgeons Metabolic and Bariatric Surgery Accreditation and Quality Improvement Program (MBSAQIP) sought to create a risk and benefit calculator for adult patients considering primary metabolic and bariatric surgery with multiple prediction features: (1) 30-day risk, (2) 1-year body mass index (BMI) projections, and (3) 1-year co-morbidity remission. OBJECTIVE: To assess the performance of the 1-year BMI projections feature of this tool. SETTING: Not-for-profit organization, clinical data registry. METHODS: MBSAQIP data from 596,024 cases across 4.5 years from 882 centers with ∼2.5 million records through 18 months postoperatively were included. A generalized estimating equation model was used to estimate BMI over time for 4 primary procedures: laparoscopic adjustable gastric band, laparoscopic sleeve gastrectomy, laparoscopic Roux-en-Y gastric bypass, and biliopancreatic diversion with duodenal switch. RESULTS: The mean absolute error (MAE) in BMI predictions through postoperative month 12 was 1.68 units; overall correlation of actual and predicted BMI was .94. MAE of postoperative BMI estimates (1-12 mo) was lowest for laparoscopic sleeve gastrectomy (1.64) and highest for biliopancreatic diversion with duodenal switch (1.99). BMI predictions at 12 months showed MAE = 2.99 units. CONCLUSIONS: Predicted BMI closely aligned with actual BMI values across the 12-month postoperative period. The MBSAQIP Bariatric Surgical Risk/Benefit Calculator is publicly available with the intent to facilitate patient-clinician communication and guide surgical decision making. This tool can aid in evaluating postoperative risk as well as benefits and long-term expectations.

Feasibility and Acceptability of a Preoperative Multimodal Mobile Health Assessment in Spine Surgery Candidates.

BACKGROUND: Rapid growth in smartphone use has expanded opportunities to use mobile health (mHealth) technology to collect real-time patient-reported and objective biometric data. These data may have important implication for personalized treatments of degenerative spine disease. However, no large-scale study has examined the feasibility and acceptability of these methods in spine surgery patients. OBJECTIVE: To evaluate the feasibility and acceptability of a multimodal preoperative mHealth assessment in patients with degenerative spine disease. METHODS: Adults undergoing elective spine surgery were provided with Fitbit trackers and sent preoperative ecological momentary assessments (EMAs) assessing pain, disability, mood, and catastrophizing 5 times daily for 3 weeks. Objective adherence rates and a subjective acceptability survey were used to evaluate feasibility of these methods. RESULTS: The 77 included participants completed an average of 82 EMAs each, with an average completion rate of 86%. Younger age and chronic pulmonary disease were significantly associated with lower EMA adherence. Seventy-two (93%) participants completed Fitbit monitoring and wore the Fitbits for an average of 247 hours each. On average, participants wore the Fitbits for at least 12 hours per day for 15 days. Only worse mood scores were independently associated with lower Fitbit adherence. Most participants endorsed positive experiences with the study protocol, including 91% who said they would be willing to complete EMAs to improve their preoperative surgical guidance. CONCLUSION: Spine fusion candidates successfully completed a preoperative multimodal mHealth assessment with high acceptability. The intensive longitudinal data collected may provide new insights that improve patient selection and treatment guidance.

Correlation Between Postoperative Antimicrobial Prophylaxis Use and Surgical Site Infection in Children Undergoing Nonemergent Surgery.

Importance: Use of postoperative antimicrobial prophylaxis is common in pediatric surgery despite consensus guidelines recommending discontinuation following incision closure. The association between postoperative prophylaxis use and surgical site infection (SSI) in children undergoing surgical procedures remains poorly characterized. Objective: To evaluate whether use of postoperative surgical prophylaxis is correlated with SSI rates in children undergoing nonemergent surgery. Design, Setting, and Participants: This is a multicenter cohort study using 30-day postoperative SSI data from the American College of Surgeons' Pediatric National Surgical Quality Improvement Program (ACS NSQIP-Pediatric) augmented with antibiotic-use data obtained through supplemental medical record review from June 2019 to June 2021. This study took place at 93 hospitals participating in the ACS NSQIP-Pediatric Surgical Antibiotic Prophylaxis Stewardship Collaborative. Participants were children (<18 years of age) undergoing nonemergent surgical procedures. Exclusion criteria included antibiotic allergies, conditions associated with impaired immune function, and preexisting infections requiring intravenous antibiotics at time of surgery. Exposures: Continuation of antimicrobial prophylaxis beyond time of incision closure. Main Outcomes and Measures: Thirty-day postoperative rate of incisional or organ space SSI. Hierarchical regression was used to estimate hospital-level odds ratios (ORs) for SSI rates and postoperative prophylaxis use. SSI measures were adjusted for differences in procedure mix, patient characteristics, and comorbidity profiles, while use measures were adjusted for clinically related procedure groups. Pearson correlations were used to examine the associations between hospital-level postoperative prophylaxis use and SSI measures. Results: Forty thousand six hundred eleven patients (47.3% female; median age, 7 years) were included, of which 41.6% received postoperative prophylaxis (hospital range, 0%-71.2%). Odds ratios (ORs) for postoperative prophylaxis use ranged 190-fold across hospitals (OR, 0.10-19.30) and ORs for SSI rates ranged 4-fold (OR, 0.55-1.90). No correlation was found between use of postoperative prophylaxis and SSI rates overall (r = 0.13; P = .20), and when stratified by SSI type (incisional SSI, r = 0.08; P = .43 and organ space SSI, r = 0.13; P = .23), and surgical specialty (general surgery, r = 0.02; P = .83; urology, r = 0.05; P = .64; plastic surgery, r = 0.11; P = .35; otolaryngology, r = -0.13; P = .25; orthopedic surgery, r = 0.05; P = .61; and neurosurgery, r = 0.02; P = .85). Conclusions and Relevance: Use of postoperative surgical antimicrobial prophylaxis was not correlated with SSI rates at the hospital level after adjusting for differences in procedure mix and patient characteristics.

Personalized Surgical Transfusion Risk Prediction Using Machine Learning to Guide Preoperative Type and Screen Orders.

BACKGROUND: Accurate estimation of surgical transfusion risk is essential for efficient allocation of blood bank resources and for other aspects of anesthetic planning. This study hypothesized that a machine learning model incorporating both surgery- and patient-specific variables would outperform the traditional approach that uses only procedure-specific information, allowing for more efficient allocation of preoperative type and screen orders. METHODS: The American College of Surgeons National Surgical Quality Improvement Program Participant Use File was used to train four machine learning models to predict the likelihood of red cell transfusion using surgery-specific and patient-specific variables. A baseline model using only procedure-specific information was created for comparison. The models were trained on surgical encounters that occurred at 722 hospitals in 2016 through 2018. The models were internally validated on surgical cases that occurred at 719 hospitals in 2019. Generalizability of the best-performing model was assessed by external validation on surgical cases occurring at a single institution in 2020. RESULTS: Transfusion prevalence was 2.4% (73,313 of 3,049,617), 2.2% (23,205 of 1,076,441), and 6.7% (1,104 of 16,053) across the training, internal validation, and external validation cohorts, respectively. The gradient boosting machine outperformed the baseline model and was the best- performing model. At a fixed 96% sensitivity, this model had a positive predictive value of 0.06 and 0.21 and recommended type and screens for 36% and 30% of the patients in internal and external validation, respectively. By comparison, the baseline model at the same sensitivity had a positive predictive value of 0.04 and 0.144 and recommended type and screens for 57% and 45% of the patients in internal and external validation, respectively. The most important predictor variables were overall procedure-specific transfusion rate and preoperative hematocrit. CONCLUSIONS: A personalized transfusion risk prediction model was created using both surgery- and patient-specific variables to guide preoperative type and screen orders and showed better performance compared to the traditional procedure-centric approach.

Comparison of cost and complication rates for profiling hospital performance in lumbar fusion for spondylolisthesis.

BACKGROUND CONTEXT: There is growing interest among payers in profiling hospital value and quality-of-care, including both the cost and safety of common surgeries, such as lumbar fusion. Nonetheless, there is sparse evidence describing the statistical reliability of such measures when applied to lumbar fusion for spondylolisthesis. PURPOSE: To evaluate the reliability of 90-day inpatient hospital costs, overall complications, and rates of serious complications for profiling hospital performance in lumbar fusion surgery for spondylolisthesis. STUDY DESIGN/SETTING: Data for this analysis came from State Inpatient Databases from nine states made available through the Healthcare Cost and Utilization Project. PATIENT SAMPLE: Patients undergoing elective lumbar spine fusion for spondylolisthesis from 2010 to 2017 in participating states. OUTCOME MEASURES: Statistical reliability, defined as the ability to distinguish true performance differences across hospitals relative to statistical noise. Reliability was assessed separately for 90-day inpatient costs (standardized across years to 2019 dollars), overall complications, and serious complication rates. METHODS: Statistical reliability was measured as the amount of variation between hospitals relative to the total amount of variation for each measure. Total variation includes both between-hospital variation ("signal") and within-hospital variation ("statistical noise"). Thus, reliability equals signal over (signal plus noise) and ranges from 0 to 1. To adjust for differences in patient-level risk and procedural characteristics, hierarchical linear and logistic regression models were created for the cost and complication outcomes. Random hospital intercepts were used to assess between-hospital variation. We evaluated the reliability of each measure by study year and examined the number of hospitals meeting different thresholds of reliability by year. RESULTS: We included a total of 66,571 elective lumbar fusion surgeries for spondylolisthesis performed at 244 hospitals during the study period. The mean 90-day hospital cost was $30,827 (2019 dollars). 12.0% of patients experienced a complication within 90 days of surgery, including 7.8% who had a serious complication. The median reliability of 90-day cost ranged from 0.97to 0.99 across study years, and there was a narrow distribution of reliability values. By comparison, the median reliability for the overall complication metric ranged from 0.22 to 0.44, and the reliability of the serious complication measure ranged from 0.30 to 0.49 across the study years. At least 96% of hospitals had high (> 0.7) reliability for cost in any year, whereas only 0-9% and 0-11% of hospitals reached this cutoff for the overall and serious complication rate in any year, respectively. By comparison, 10%-69% of hospitals per year achieved a more moderate threshold of 0.4 reliability for overall complications, compared to 21%-80% of hospitals who achieved this lower reliability threshold for serious complications. CONCLUSIONS: 90-day inpatient costs are highly reliable for assessing variation across hospitals, whereas overall and serious complications are only moderately reliable for profiling performance. These results support the viability of emerging bundled payment programs that assume true differences in costs of care exist across hospitals.

Administrative Data Are Unreliable for Ranking Hospital Performance Based on Serious Complications After Spine Fusion.

STUDY DESIGN: Retrospective analysis of administrative billing data. OBJECTIVE: To evaluate the extent to which a metric of serious complications determined from administrative data can reliably profile hospital performance in spine fusion surgery. SUMMARY OF BACKGROUND DATA: While payers are increasingly focused on implementing pay-for-performance measures, quality metrics must reliably reflect true differences in performance among the hospitals profiled. METHODS: We used State Inpatient Databases from nine states to characterize serious complications after elective cervical and thoracolumbar fusion. Hierarchical logistic regression was used to risk-adjust differences in case mix, along with variability from low case volumes. The reliability of this risk-stratified complication rate (RSCR) was assessed as the variation between hospitals that was not due to chance alone, calculated separately by fusion type and year. Finally, we estimated the proportion of hospitals that had sufficient case volumes to obtain reliable (>0.7) complication estimates. RESULTS: From 2010 to 2017 we identified 154,078 cervical and 213,133 thoracolumbar fusion surgeries. 4.2% of cervical fusion patients had a serious complication, and the median RSCR increased from 4.2% in 2010 to 5.5% in 2017. The reliability of the RSCR for cervical fusion was poor and varied substantially by year (range 0.04-0.28). Overall, 7.7% of thoracolumbar fusion patients experienced a serious complication, and the RSCR varied from 6.8% to 8.0% during the study period. Although still modest, the RSCR reliability was higher for thoracolumbar fusion (range 0.16-0.43). Depending on the study year, 0% to 4.5% of hospitals had sufficient cervical fusion case volume to report reliable (>0.7) estimates, whereas 15% to 36% of hospitals reached this threshold for thoracolumbar fusion. CONCLUSION: A metric of serious complications was unreliable for benchmarking cervical fusion outcomes and only modestly reliable for thoracolumbar fusion. When assessed using administrative datasets, these measures appear inappropriate for high-stakes applications, such as public reporting or pay-for-performance.Level of Evidence: 3.

The Metabolic and Bariatric Surgery Accreditation and Quality Improvement Program bariatric surgical risk/benefit calculator: 30-day risk.

BACKGROUND: There is increasing demand for data-driven tools that provide accurate and clearly communicated patient-specific information. These can aid discussions between practitioners and patients, promote shared decision-making, and enhance informed consent. The American College of Surgeons Metabolic and Bariatric Surgery Accreditation and Quality Improvement Program (MBSAQIP) sought to create a risk calculator for adult patients considering primary metabolic and bariatric surgery, with multiple prediction features: (1) 30-day risk; (2) 1-year body mass index projections; and (3) 1-year co-morbidity remission. OBJECTIVES: To evaluate the 30-day risk estimation feature of this tool. SETTING: Not-for-profit organization, international bariatric surgery clinical data registry. METHODS: MBSAQIP data across 5.5 years, 925 hospitals, and 775,291 cases were used to develop the 30-day risk feature. Logistic regression models were employed to estimate postoperative risks for 9 outcomes across 4 procedures: laparoscopic Roux-en-Y gastric bypass, laparoscopic sleeve gastrectomy, laparoscopic adjustable gastric band, and biliopancreatic diversion with duodenal switch. RESULTS: The tool showed good discrimination for mortality and surgical site infection models (c-statistics, .80 and .70, respectively), and was slightly less accurate for the 7 other complications (.62-.69). Graphical representations showed excellent calibration for all 9 outcomes. CONCLUSIONS: Overall, the 30-day risk models were accurate and well calibrated, with acceptable discrimination. The MBSAQIP bariatric surgical risk/benefit calculator is publicly available, with the intent to be integrated into healthcare practice to guide bariatric surgical decision-making and care planning, and to enhance communication between patients and their surgical care team.

Antireflux Surgery at National Surgical Quality Improvement Program-Pediatric Hospitals.

PURPOSE: This study aims to examine contemporary practice patterns and compare short-term outcomes for vesicoureteral reflux procedures (ureteral reimplant/endoscopic injection) using National Surgical Quality Improvement Program-Pediatric data. MATERIALS AND METHODS: Procedure-specific variables for antireflux surgery were developed to capture data not typically collected in National Surgical Quality Improvement Program-Pediatric (eg vesicoureteral reflux grade, urine cultures, 31-60-day followup). Descriptive statistics were performed, and logistic regression assessed associations between patient/procedural factors and outcomes (urinary tract infection, readmissions, unplanned procedures). RESULTS: In total, 2,842 patients (median age 4 years; 76% female; 68% open reimplant, 6% minimally invasive reimplant, 25% endoscopic injection) had procedure-specific variables collected from July 2016 through June 2018. Among 88 hospitals, a median of 24.5 procedures/study period were performed (range 1-148); 95% performed ≥1 open reimplant, 30% ≥1 minimally invasive reimplant, and 70% ≥1 endoscopic injection, with variability by hospital. Two-thirds of patients had urine cultures sent preoperatively, and 76% were discharged on antibiotics. Outcomes at 30 days included emergency department visits (10%), readmissions (4%), urinary tract infections (3%), and unplanned procedures (2%). Over half of patients (55%) had optional 31-60-day followup, with additional outcomes (particularly urinary tract infections) noted. Patients undergoing reimplant were younger, had higher reflux grades, and more postoperative occurrences than patients undergoing endoscopic injections. CONCLUSIONS: Contemporary data indicate that open reimplant is still the most common antireflux procedure, but procedure distribution varies by hospital. Emergency department visits are common, but unplanned procedures are rare, particularly for endoscopic injection. These data provide basis for comparing short-term complications and developing standardized perioperative pathways for antireflux surgery.

Does Comanagement of Patients With Hip Fracture Influence 30-Day Outcomes.

INTRODUCTION: Comanagement of hip fractures is thought to optimize outcomes for these high-risk patients, but this practice is not universal. We aimed to determine whether comanagement of patients with hip fracture affects 30-day outcomes. METHODS: The American College of Surgeons National Surgical Quality Improvement Program database was queried for all hip fractures between January 2015 and January 2017, totaling 15 461 patients (144 hospitals). Patients were divided into 3 cohorts: 11 233 comanaged throughout stay (CM), 2537 partially comanaged during stay (PCM), or 1691 not comanaged (NCM), by orthopedic surgeons with medicine physicians or geriatricians. Data collected included demographics, hip fracture type, postoperative outcomes, and length of stay (LOS). Logistic regression and linear regression analyses were performed. RESULTS: Both CM and PCM patients were older, with more dementia, poorer mobility, and more comorbidities than NCM patients. Mortality rates were 4.55%, 0.81%, and 0.33% for CM, PCM, and NCM, respectively, and risk-adjusted odds ratios (ORs) were 1.63 (95% confidence interval = 1.22-2.23) and 1.22 (0.87-1.74) for CM and PCM, respectively, compared to NCM. Morbidity rates were 11.06%, 15.45%, and 7.63% for CM, PCM, and NCM, respectively, and ORs were 1.74 (1.41-2.16) and 1.94 (1.57-2.41) for CM and PCM, respectively, compared to NCM. Risk-adjusted mean square LOS was 6.38, 8.80, and 7.23 for CM, PCM, and NC, respectively (P < .01). CONCLUSIONS: Comanaged patients with hip fracture had poorer cognition, function, and general health, with the shortest LOS. Surprisingly, NCM was associated with reduced morbidity and mortality, which may relate to them being the healthiest patients. Overall, our findings still support orthogeriatric comanagement in this high-risk group to maximize outcomes.

Association of Patient-reported Experiences and Surgical Outcomes Among Group Practices: Retrospective Cohort Study.

OBJECTIVE: The aim of the study was to determine the association of patient-reported experiences (PREs) and risk-adjusted surgical outcomes among group practices. BACKGROUND: The Centers for Medicare and Medicaid Services required large group practices to submit PREs data for successful participation in the Physician Quality Reporting System (PQRS) using the Consumer Assessment of Healthcare Providers and Systems for PQRS survey. Whether these PREs data correlate with perioperative outcomes remains ill defined. METHODS: Operations between January 1, 2014 and December 31, 2016 in the American College of Surgeons' National Surgical Quality Improvement Program registry were merged with 2015 Consumer Assessment of Healthcare Providers and Systems for PQRS survey data. Hierarchical logistic models were constructed to estimate associations between 7 subscales and 1 composite score of PREs and 30-day morbidity, unplanned readmission, and unplanned reoperation, separately, while adjusting for patient- and procedure mix. RESULTS: Among 328 group practices identified, patients reported their experiences with clinician communication the highest (mean ±â€Šstandard deviation, 82.66 ±â€Š3.10), and with attention to medication cost the lowest (25.96 ±â€Š5.14). The mean composite score was 61.08 (±6.66). On multivariable analyses, better PREs scores regarding medication cost, between-visit communication, and the composite score of experience were each associated with 4% decreased odds of morbidity [odds ratio (OR) 0.96, 95% confidence interval (CI) 0.92-0.99], readmission (OR 0.96, 95% CI 0.93-0.99), and reoperation (OR 0.96, 95% CI 0.93-0.99), respectively. In sensitivity analyses, better between-visit communication remained significantly associated with fewer readmissions. CONCLUSIONS: In these data, patients' report of better between-visit communication was associated with fewer readmissions. More sensitive, surgery-specific PRE assessments may reveal additional unique insights for improving the quality of surgical care.

Best Practices in Data Use for Achieving Successful Implementation of Enhanced Recovery Pathway.

BACKGROUND: Although enhanced recovery pathways (ERPs) have demonstrated promising results in published literature, their effectiveness has been inconsistent. The objective of this study was to identify the most important data use practices associated with successful implementation of ERPs. STUDY DESIGN: As part of a national ERP implementation initiative, data regarding hospitals' previous ERP implementation experience were collected. Specifically, 4 data use practices (data collection, report generation, feedback to leadership, and feedback to frontline providers) and 2 data types (process measures and outcome measures) were correlated with ERP implementation outcomes (hospital-reported success and patient outcomes from the American College of Surgeons [ACS] NSQIP data). RESULTS: Of 140 hospitals evaluated, 73 (52.1%) reported previous ERP implementation, with wide variations in data use practices. Of these, 33 (45.2%) reported successful implementation. Feedback of both process and outcome measure data was performed by only 15.1% of hospitals, but was associated with significantly higher likelihood of successful implementation when compared with no feedback (relative risk [RR] 2.45, 95% CI 1.69 to 3.56; p < 0.001) and feedback of only outcome measure data (RR 2.73, 95% CI 1.06 to 7.00; p = 0.037). Using ACS NSQIP data from 6,888 colorectal surgery patients from 52 hospitals with colorectal ERPs, hospital-reported success was associated with significantly lower surgical site infection rates (6.6% vs 8.1%; p = 0.011) and shorter length of stay (6.2 vs 7.0 days; p < 0.001). CONCLUSIONS: The most important data use practice associated with successful ERP implementation was data feedback to frontline providers of both process and outcome measures. However, this was rarely performed in a national cohort of hospitals and represents a substantial but straightforward opportunity for improvement.

A Decade of Preventing Harm.

Medical errors are a significant source of morbidity and mortality, and while focused efforts to prevent harm have been made, sustaining reductions across multiple categories of patient harm remains a challenge. In 2008 BJC HealthCare initiated a systemwide program to eliminate all major causes of preventable harm and mortality over a five-year period with a goal of sustaining these reductions over the subsequent five years. METHODS: Areas of focus included pressure ulcers, adverse drug events, falls with injury, health care-associated infections, and venous thromboembolism. Initial efforts involved building system-level multidisciplinary teams, utilizing standardized project management methods, and establishing standard surveillance methods. Evidence-based interventions were deployed across the system; core standards were established while allowing for flexibility in local implementation. Improvements were tracked using actual numbers of events rather than rates to increase meaning and interpretability by patients and frontline staff. RESULTS: Over the course of the five-year intervention period, total harm events were reduced by 51.6% (10,371 events in 2009 to 5,018 events in 2012). Continued improvement efforts over the subsequent five years led to additional harm reduction (2,605 events in 2017; a 74.9% reduction since 2009). CONCLUSION: A combination of project management discipline, rigorous surveillance, and focused interventions, along with system-level support of local hospital improvement efforts, led to dramatic reductions in preventable harm and long-term sustainment of progress.

Beyond death and graft survival-Variation in outcomes after kidney transplantation. Results from the NSQIP Transplant beta phase.

The National Surgical Quality Program (NSQIP) Transplant was designed by transplant surgeons from the ground up to track posttransplant outcomes beyond basic recipient and graft survival. After an initial pilot phase, the program has expanded to 29 participating sites and enrolled more than 4300 recipient-donor pairs into the database, including 2876 complete kidney transplant cases. In this analysis, surgical site infection (SSI), urinary tract infection (UTI), and reoperation/intervention were evaluated for kidney transplant recipients. We observed impressive variation in the crude incidence between sites for SSI (0%-17%), UTI (0%-14%), and reoperation/intervention (0%-25%). After adjustment for donor and recipient factors, 2 sites were outliers with respect to their incidence of UTI. For the first time, the field of transplantation has data that demonstrate variation in kidney recipient surgical outcomes between sites. More importantly, NSQIP Transplant provides a powerful platform to improve care beyond basic patient and graft survival.