Modeling Thyroid Cancer Epidemiology in the United States Using Papillary Thyroid Carcinoma Microsimulation Model.

OBJECTIVES: Thyroid cancer incidence increased over 200% from 1992 to 2018, whereas mortality rates had not increased proportionately. The increased incidence has been attributed primarily to the detection of subclinical disease, raising important questions related to thyroid cancer control. We developed the Papillary Thyroid Carcinoma Microsimulation model (PATCAM) to answer them, including the impact of overdiagnosis on thyroid cancer incidence. METHODS: PATCAM simulates individuals from age 15 until death in birth cohorts starting from 1975 using 4 inter-related components, including natural history, detection, post-diagnosis, and other-cause mortality. PATCAM was built using high-quality data and calibrated against observed age-, sex-, and stage-specific incidence in the United States as reported by the Surveillance, Epidemiology, and End Results database. PATCAM was validated against US thyroid cancer mortality and 3 active surveillance studies, including the largest and longest running thyroid cancer active surveillance cohort in the world (from Japan) and 2 from the United States. RESULTS: PATCAM successfully replicated age- and stage-specific papillary thyroid cancers (PTC) incidence and mean tumor size at diagnosis and PTC mortality in the United States between 1975 and 2015. PATCAM accurately predicted the proportion of tumors that grew more than 3 mm and 5 mm in 5 years and 10 years, aligning with the 95% confidence intervals of the reported rates from active surveillance studies in most cases. CONCLUSIONS: PATCAM successfully reproduced observed US thyroid cancer incidence and mortality over time and was externally validated. PATCAM can be used to identify factors that influence the detection of subclinical PTCs.

The invisible work of transfer centre nurses: A qualitative study of strategies to overcome communication challenges.

AIMS: To explore the role of transfer centre nurses and how they facilitate communication between referring and accepting providers during calls about interhospital transfers, including their strategies to overcome communication challenges. DESIGN: A qualitative interview study. METHODS: We conducted semi-structured interviews with 17 transfer centre nurses at one tertiary medical centre from March to August 2019, asking participants to describe their work. We performed content analysis, applying codes based on the Relational Coordination Framework and generating emergent codes, then organized codes in higher-order concepts. We followed the COREQ checklist. RESULTS: Transfer centre nurses employed multiple strategies to mitigate communication challenges. When referring providers had misconceptions about the transfer centre nurse's role and the accepting hospital's processes, the nurses informed referring providers why sharing information with them was necessary. If providers expressed frustrations or lacked understanding about their counterpart's caseload, the nurses managed providers' emotions by letting them "vent," explaining the other provider's situational context and describing the hospital's capabilities. Some nurses also mediated conflict and sought to break the tension if providers debated about the best course of action. When providers struggled to share complete and accurate information, the nurses hunted down details and 'filled in the blanks'. CONCLUSION: Transfer centre nurses perform invisible work throughout the lifespan of interhospital transfers. Nurses' expert knowledge of the transfer process and hospitals' capabilities can enhance provider communication. Meanwhile, providers' lack of knowledge of the nurse's role can impede respectful and efficient transfer conversations. Interventions to support and optimize the transfer centre nurses' critical work are needed. IMPACT: This study describes how transfer centre nurses facilitate communication and overcome challenges during calls about interhospital transfers. An intervention that supports this critical work has the potential to benefit nurses, providers and patients by ensuring accurate and complete information exchange in an effective, efficient manner that respects all parties. PATIENT OR PUBLIC CONTRIBUTION: This study was designed to capture the perspectives and experiences of transfer centre nurses themselves through interviews. Therefore, it was not conducted using input or suggestions from the public or the patient population served by the organization.

What Promotes Surgeon Practice Change? A Scoping Review of Innovation Adoption in Surgical Practice.

OBJECTIVE: The goal of this scoping review was to summarize the literature on facilitators and barriers to surgical practice change. This information can inform research to implement best practices and evaluate new surgical innovations. BACKGROUND: In an era of accelerated innovations, surgeons face the difficult decision to either acknowledge and implement or forgo new advances. Although changing surgical practice to align with evidence is an imperative of health systems, evidence-based guidelines have not translated into consistent change. The literature on practice change is limited and has largely focused on synthesizing information on methods and trials to evaluate innovative surgical interventions. No reviews to date have grounded their analysis within an implementation science framework. METHODS: A systematic review of the literature on surgical practice change was performed. Abstracts and full-text articles were reviewed for relevance using inclusion and exclusion criteria and data were extracted from each article. Cited facilitators and barriers were then mapped across domains within the implementation science Theoretical Domains Framework and expanded to the Capability, Opportunity, Motivation, and Behavior model. RESULTS: Components of the Capability, Opportunity, Motivation, and Behavior model were represented across the Theoretical Domains Framework domains and acted as both facilitators and barriers to practice change depending on the circumstances. Domains that most affected surgical practice change, in order, were: opportunity (environmental context and resources and social influences), capability (knowledge and skills), and motivation (beliefs about consequences and reinforcement). CONCLUSIONS: Practice change is predicated on a conducive environment with adequate resources, but once that is established, the surgeon's individual characteristics, including skills, motivation, and reinforcement determine the likelihood of successful change. Deficiencies in the literature underscore the need for further study of resource interventions and the role of surgical team dynamics in the adoption of innovation. A better understanding of these areas is needed to optimize our ability to disseminate and implement best practices in surgery.

Factors associated with Interhospital transfers of emergency general surgery patients from emergency departments.

BACKGROUND: Emergency general surgery (EGS) conditions account for over 3 million or 7.1% of hospitalizations per year in the US. Patients are increasingly transferred from community emergency departments (EDs) to larger centers for care, and a growing demand for treating EGS conditions mandates a better understanding of how ED clinicians transfer patients. We identify patient, clinical, and organizational characteristics associated with interhospital transfers of EGS patients originating from EDs in the United States. METHOD: We analyze data from the Agency for Healthcare Research and Quality Nationwide Emergency Department Sample (NEDS) for the years 2010-2014. Patient-level sociodemographic characteristics, clinical factors, and hospital-level factors were examined as predictors of transfer from the ED to another acute care hospital. Multivariable logistic regression analysis includes patient and hospital characteristics as predictors of transfer from an ED to another acute care hospital. RESULTS: Of 47,442,892 ED encounters (weighted) between 2008 and 2014, 1.9% resulted in a transfer. Multivariable analysis indicates that men (Odds ratio (OR) 1.18 95% Confidence Interval (95% CI) 1.16-1.21) and older patients (OR 1.02 (95% CI 1.02-1.02)) were more likely to be transferred. Relative to patients with private health insurance, patients covered by Medicare (OR 1.09 (95% CI 1.03-1.15) or other insurance (OR 1.34 (95% CI 1.07-1.66)) had a higher odds of transfer. Odds of transfer increased with a greater number of comorbid conditions compared to patients with an EGS diagnosis alone. EGS diagnoses predicting transfer included resuscitation (OR 36.72 (95% CI 30.48-44.22)), cardiothoracic conditions (OR 8.47 (95% CI 7.44-9.63)), intestinal obstruction (OR 4.49 (95% CI 4.00-5.04)), and conditions of the upper gastrointestinal tract (OR 2.82 (95% CI 2.53-3.15)). Relative to Level I or II trauma centers, hospitals with a trauma designation III or IV had a 1.81 greater odds of transfer. Transfers were most likely to originate at rural hospitals (OR 1.69 (95% CI 1.43-2.00)) relative to urban non-teaching hospitals. CONCLUSION: Medically complex and older patients who present at small, rural hospitals are more likely to be transferred. Future research on the unique needs of rural hospitals and timely transfer of EGS patients who require specialty surgical care have the potential to significantly improve outcomes and reduce costs.

Age-Dependent Costs and Complications in Pediatric Umbilical Hernia Repair.

OBJECTIVES: To characterize regional variation in the age of patients undergoing umbilical hernia repair to determine costs and subsequent care. STUDY DESIGN: We performed a cross-sectional descriptive study using a large convenience sample of US employer-based insurance claims from July 2012 to December 2015. We identified children younger than 18 years of age undergoing uncomplicated (not strangulated, incarcerated, or gangrenous) umbilical hernia repair as an isolated procedure (International Classification of Diseases, Ninth Revision procedure codes 53.41, 53.42, 53.43, or 53.49, International Classification of Diseases, Tenth Revision procedure code 0WQF0ZZ, or Current Procedural Terminology procedure codes 49580 or 49585). RESULTS: In all, 5212 children met criteria for inclusion. Children younger than age 2 years accounted for 9.7% of repairs, with significant variation by census region (6% to 14%, P < .001). Total payments for surgery varied by age; children younger than 2 years averaged $8219 and payments for older children were $6137. Postoperative admissions occurred at a rate of 73.1 per 1000 for children younger than age 2 years and 7.43 for older children; emergency department visits were 41.5 per 1000 for children younger than age 2 years vs 15.9 for older children (P < .001). CONCLUSIONS: Umbilical hernias continue to be repaired at early ages with large regional variation. Umbilical hernia repair younger than age 2 years is associated with greater costs and greater frequency of postoperative hospitalization and emergency department visits.

Natural history and cost analysis of surgical bypass versus endoscopic stenting for the palliative management of malignant gastric outlet obstruction.

BACKGROUND: Malignant gastric outlet obstruction (GOO) is managed with palliative surgical bypass or endoscopic stenting. Limited data exist on differences in cost and outcomes. METHODS: Patients with malignant GOO undergoing palliative gastrojejunostomy (GJ) or endoscopic stent (ES) were identified between 2012 and 2015 using the MarketScan® Database. Median costs (payments) for the index procedure and 90-day readmissions and re-intervention were calculated. Frequency of treatment failure-defined as repeat surgery, stenting, or gastrostomy tube-was measured. RESULTS: A total of 327 patients were included: 193 underwent GJ and 134 underwent ES. Compared to GJ, stenting resulted in lower total median payments for the index hospitalization and procedure-related 90-day readmissions ($18,500 ES vs. $37,200 GJ, p = 0.032). For patients treated with ES, 25 (19%) required a re-intervention for treatment-failure, compared to 18 (9%) patients who underwent GJ (p = 0.010). On multivariable analysis, stenting remained significantly associated with need for secondary re-intervention compared to GJ (HR for ES 2.0 [1.1-3.8], p 0.028). CONCLUSION: In patients with malignant GOO, endoscopic stenting results in significant 90-day cost saving, however was associated with twice the rate of secondary intervention. The decision for surgical bypass versus endoscopic stenting should consider patient prognosis, anticipated cost, and likelihood of needing re-intervention.

Practice Variation in Umbilical Hernia Repair Demonstrates a Need for Best Practice Guidelines.

OBJECTIVE: To evaluate and better understand variations in practice patterns, we analyzed ambulatory surgery claims data from 3 demographically diverse states to assess the relationship between age at umbilical hernia repair and patient, hospital, and geographic characteristics. STUDY DESIGN: We performed a cross-sectional descriptive study of uncomplicated hernia repairs performed as a single procedure in 2012-2014, using the State Ambulatory Surgery and Services Database for Wisconsin, New York, and Florida. Age and demographic characteristics of umbilical hernia repair patients are described. RESULTS: The State Ambulatory Surgery and Services Database analysis included 6551 patients. Across 3 states, 8.2% of hernia repairs were performed in children <2 years, 18.7% in children age 2-3 years, and 73.0% in children age ≥4 years, but there was significant variability (P < .001) in practice patterns by state. In regression analysis, race, Medicaid insurance and rural residence were predictive of early repair, with African American patients less likely to have a repair before age 2 (OR 0.62, P = .046) and rural children (OR 1.53, P = .009) and Medicaid patients (OR 2.01, P < .001) more likely to do so. State of residence predicted early repair even when holding these variables constant. CONCLUSIONS: The age of pediatric umbilical hernia repair varies widely. As hernias may resolve over time and can be safely monitored with watchful waiting, formal guidelines are needed to support delayed repair and prevent unnecessary operations.

Breast Cancer Found Incidentally After Reduction Mammaplasty in Young Insured Women.

BACKGROUND: Reduction mammaplasty is a common operation performed for healthy women. The estimated incidence of breast cancer diagnosed at the time of reduction mammaplasty varies from 0.06 to 4.5%, and information on the care of these patients is limited. This study aimed to determine the incidence of breast cancer identified incidentally during reduction mammaplasty and to characterize preoperative imaging. METHODS: Women 18 years of age or older who underwent reduction mammaplasty from 2013 to 2015 were identified from the Truven Health MarketScan® Research Databases. Patients with prior breast cancer were excluded. Descriptive statistics were calculated for patient characteristics, incidental breast cancer, preoperative breast imaging, and postoperative treatment. RESULTS: Reduction mammaplasty was performed for 18,969 women with a mean age of 42.5 years. Of these patients, 186 (0.98%) were incidentally found to have breast cancer, with 134 (0.71%) having invasive breast cancer and 52 (0.27%) having carcinoma in situ. The patients with incidentally found cancer were older than the patients without cancer (50.8 vs. 42.5 years; p < 0.001). Overall, 58.2% of the patients had undergone mammography before reduction mammoplasty. The rates were higher (> 80%) for the patients older than 40 years. Preoperative mammography was performed for 76.3% of those with a diagnosis of breast cancer at time of reduction mammoplasty. CONCLUSIONS: Breast cancer diagnosed incidentally at the time of reduction mammaplasty is uncommon and often radiographically occult. The majority of women older than 50 years appropriately received preoperative mammography. These data can be used to manage patient expectations about the potential for the incidental diagnosis of breast cancer at reduction mammaplasty, even with a negative preoperative mammography.

Characteristics and Timing of Interhospital Transfers of Emergency General Surgery Patients.

BACKGROUND: Transferred emergency general surgery (EGS) patients have increased morbidity, mortality, and costs, yet little is known about the characteristics of such transfers. Increasing specialization and a decreasing general surgery workforce have led to concerns about access to care, which may lead to increased transfers. We sought to evaluate the reasons for and timing of transfers for EGS diagnoses. METHODS: We performed a retrospective medical record review of patients transferred to a tertiary academic medical center between January 4, 2014 and March 31, 2016 who had an EGS diagnosis (bowel obstruction, appendicitis, cholecystitis/cholangitis/choledocholithiasis, diverticulitis, mesenteric ischemia, perforated viscus, or postoperative surgical complication). RESULTS: Three hundred thirty-four patients were transferred from 70 hospitals. Transfer reasons varied with the majority due to the need for specialized services (44.3%) or a surgeon (26.6%). Imaging was performed in 95.8% and 35.3% had surgeon contact before transfer. The percentage of patients who underwent procedures at referring facilities was 7.5% (n = 25), while 60.6% (n = 83) underwent procedures following transfer. Mean time between transfer request and arrival at the accepting hospital was lower for patients who subsequently underwent a procedure at the accepting hospital compared to those who did not for patients originating in emergency departments (2.6 versus 3.4 h, P < 0.05) and inpatient units (6.9 versus 14.3 h, P < 0.05). CONCLUSIONS: Interhospital transfers for EGS conditions are frequently motivated by a need for a higher level of care or specialized services as well as a need for a general surgeon. Understanding reasons for transfers can inform decisions regarding the allocation and provision of care for this vulnerable population.

Factors Associated With the Interhospital Transfer of Emergency General Surgery Patients.

BACKGROUND: Transferred emergency general surgery (EGS) patients constitute a highly vulnerable, acutely ill population. Guidelines to facilitate timely, appropriate EGS transfers are lacking. We determined patient- and hospital-level factors associated with interhospital EGS transfers, a critical first step to identifying which patients may require transfer. METHODS: Adult EGS patients (defined by American Association for the Surgery of Trauma International Classification of Diseases, Ninth Revision diagnosis codes) were identified within the 2008-2013 Nationwide Inpatient Sample (n = 17,175,450). Patient- and hospital-level factors were examined as predictors of transfer to another acute care hospital with a multivariate proportional cause-specific hazards model with a competing risk analysis to assess the effect of risk factors for transfer. RESULTS: 1.8% of encounters resulted in a transfer (n = 318,286). Transferred patients were on average 62 y old and most commonly had Medicare (52.9% [n = 168,363]), private (26.7% [n = 84,991]), or Medicaid insurance (10.8% [n = 34,279]). 67.7% were white. The most common EGS diagnoses among transferred patients were related to hepatic-pancreatic-biliary (n = 90,989 [28.6%]) and upper gastrointestinal tract (n = 60,088 [18.9%]) conditions. Most transferred patients (n = 269,976 [84.8%]) did not have a procedure before transfer. Transfer was more likely if patients were in small (hazard ratio 2.52, 95% confidence interval 2.28-2.79) or medium (1.32, 1.21-1.44) versus large facilities, government (1.19, 1.11-1.28) versus private facilities, and rural (4.58, 3.98-5.27) or urban nonteaching (1.89, 1.70-2.10) versus urban teaching facilities. Patient-level factors were not strong predictors of transfer. CONCLUSIONS: We identified that hospital-level characteristics more strongly predicted the need for transfer than patient-related factors. Consideration of these factors by providers as care is delivered in the context of the resources and capabilities of local institutions may facilitate transfer decision-making.

Analysis of 90-day cost for open versus minimally invasive distal pancreatectomy.

BACKGROUND: Minimally invasive distal pancreatectomy (MIDP) is associated with improved peri-operative outcomes compared to the open approach, though cost-effectiveness of MIDP remains unclear. METHODS: Patients with pancreatic tumors undergoing open (ODP), robotic (RDP), or laparoscopic distal pancreatectomy (LDP) between 2012-2014 were identified through the Truven Health MarketScan® Database. Median costs (payments) for the index operation and 90-day readmissions were calculated. Multivariable regression was used to predict associations with log 90-day payments. RESULTS: 693 patients underwent ODP, 146 underwent LDP, and 53 RDP. Compared to ODP, LDP and RDP resulted in shorter median length of stay (6 d. ODP vs. 5 d. RDP vs. 4 d. LDP, p<0.01) and lower median payments ($38,350 ODP vs. $34,870 RDP vs. $32,148 LDP, p<0.01) during the index hospitalization. Total median 90-day payments remained significantly lower for both minimally invasive approaches ($40,549 ODP vs. $35,160 RDP vs. $32,797 LDP, p<0.01). On multivariable analysis, LDP and RDP resulted in 90-day cost savings of 21% and 25% relative to ODP, equating to an amount of $8,500-$10,000. CONCLUSION: MIDP is associated with >$8,500 in lower cost compared to the open approach. Quality improvement initiatives in DP should ensure that lack of training and technical skill are not barriers to MIDP.

Thirty-day readmission and mortality among Medicare beneficiaries discharged to skilled nursing facilities after vascular surgery.

BACKGROUND: Readmission within 30 d of an acute hospital stay is frequent, costly, and increasingly subject to penalties. Early readmission is most common after vascular surgery; these patients are often discharged to skilled nursing facilities (SNFs), making postacute care an essential partner in reducing readmissions. We characterize 30-day readmissions among vascular surgery patients discharged to SNF to provide evidence for this understudied segment of readmission after specialty surgery. METHODS: We utilize the Centers for Medicare & Medicaid Services Chronic Conditions Warehouse, a longitudinal 5% national random sample of Medicare beneficiaries to study 30-day readmission or death after discharge to SNF following abdominal aortic aneurysm repair or lower extremity revascularization from 2005-2009. Descriptive statistics and logistic regression with Least Adaptive Shrinkage and Selection Operator were used for analysis. RESULTS: Two thousand one hundred ninety-seven patients underwent an abdominal aortic aneurysm procedure or lower extremity revascularization at 686 hospitals and discharged to 1714 SNFs. Eight hundred (36%) were readmitted or had died at 30 d. In adjusted analysis, predictors of readmission or death at 30 d included SNF for-profit status (OR [odds ratio] = 1.2; P = 0.032), number of hospitalizations in the previous year (OR = 1.06; P = 0.011), number of comorbidities (OR = 1.06; P = 0.004), emergent procedure (OR = 1.69; P < 0.001), renal complication (OR = 1.38; P = 0.003), respiratory complication (OR = 1.45; P < 0.001), thromboembolic complication (OR = 1.57; P = 0.019), and wound complication (OR = 0.70; P = 0.017). CONCLUSIONS: Patients discharged to SNF following vascular surgery have exceptionally high rates of readmission or death at 30 d. Many factors predicting readmission or death potentially modify decision-making around discharge, making early detection, discharge planning, and matching patient needs to SNF capabilities essential to improving outcomes.

Adaptation and Implementation of a Transitional Care Protocol for Patients Undergoing Complex Abdominal Surgery.

BACKGROUND: Transitional care protocols are effective at reducing readmission for medical patients, yet no evidence-based protocols exist for surgical patients. A transitional care protocol was adapted to meet the needs of patients discharged to home after major abdominal surgery. APPROACH: The Coordinated-Transitional Care (C-TraC) protocol, initially designed for medical patients, was used as the initial framework for the development of a surgery-specific protocol (sC-TraC). Adaptation was accomplished using a modification of the Replicating Effective Programs (REP) model, which has four phases: (1) preconditions, (2) preimplementation, (3) implementation, and (4) maintenance and evolution. A random sample of five patients each month was selected to complete a phone survey regarding patient satisfaction. Preimplementation planning allowed for integration with current systems, avoided duplication of processes, and defined goals for the protocol. The adapted protocol specifically addressed surgical issues such as nutrition, fever, ostomy output, dehydration, drain character/output, and wound appearance. After protocol launch, the rapid iterative adaptation process led to changes in phone call timing, inclusion and exclusion criteria, and discharge instructions. OUTCOMES: Survey responders reported 100% overall satisfaction with the transitional care program. KEY INSIGHTS: The adaptable nature of sC-TraC may allow for low-resource hospitals, such as rural or inner-city medical centers, to use the methodology provided in this study for implementation of local phone-based transitional care protocols. In addition, as the C-TraC program has begun to disseminate nationally across US Department of Veterans Affairs (VA) hospitals and rural health settings, sC-TraC may be implemented using the existing transitional care infrastructure in place at these hospitals.

Endovascular Versus Open Revascularization for Peripheral Arterial Disease.

OBJECTIVE: The aim of this study was to determine whether endovascular or open revascularization provides an advantageous approach to symptomatic peripheral arterial disease (PAD) over the longer term. SUMMARY OF BACKGROUND DATA: The optimal revascularization strategy for symptomatic lower extremity PAD is not established. METHODS: We evaluated amputation-free survival, overall survival, and relative rate of subsequent vascular intervention after endovascular or open lower extremity revascularization for propensity-score matched cohorts of Medicare beneficiaries with PAD from 2006 through 2009. RESULTS: Among 14,685 eligible patients, 5928 endovascular and 5928 open revascularization patients were included in matched analysis. Patients undergoing endovascular repair had improved amputation-free survival compared with open repair at 30 days (7.4 vs 8.9%, P = 0.002). This benefit persisted over the long term: At 4 years, 49% of endovascular patients had died or received major amputation compared with 54% of open patients (P < 0.001). An endovascular procedure was associated with a risk-adjusted 16% decreased risk of amputation or death compared with open over the study period (hazard ratio: 0.84; 95% confidence interval, 0.79-0.89; P < 0.001). The amputation-free survival benefit associated with an endovascular revascularization was more pronounced in patients with congestive heart failure or ischemic heart disease than in those without (P = 0.021 for interaction term). The rate of subsequent intervention at 30 days was 7.4% greater for the endovascular vs the open revascularization cohort. At 4 years, this difference remained stable at 8.6%. CONCLUSIONS: Using population-based data, we demonstrate that an endovascular approach is associated with improved amputation-free survival over the long term with only a modest relative increased risk of subsequent intervention.

30-day Readmission After Pancreatic Resection: A Systematic Review of the Literature and Meta-analysis.

OBJECTIVE: The aim of this study was to identify and compare common reasons and risk factors for 30-day readmission after pancreatic resection. BACKGROUND: Hospital readmission after pancreatic resection is common and costly. Many studies have evaluated this problem and numerous discrepancies exist regarding the primary reasons and risk factors for readmission. METHODS: Multiple electronic databases were searched from 2002 to 2016, and 15 relevant articles identified. Overall readmission rate was calculated from individual study estimates using a random-effects model. Study data were combined and overall estimates of odds ratios (ORs) and 95% confidence intervals (CIs) were calculated for each risk factor. Multivariable data were qualitatively synthesized. RESULTS: The overall 30-day readmission rate was 19.1% (95% CI 17.4-20.7) across all studies. Infectious complications and gastrointestinal disorders, such as failure to thrive and delayed gastric emptying, together accounted for 58.9% of all readmissions. Demographic factors did not predict readmission. Heart disease (OR 1.37, 95% CI 1.12-1.67), hypertension (OR 1.44, 95% CI 1.09-1.91), and intraoperative blood transfusion (OR 1.45, 95% CI 1.15-1.83) were weak predictors of readmission, while any postoperative complications (OR 2.22, 95% CI 1.55-3.18) or severe complications (OR 2.84, 95% CI 1.65-4.89) were stronger predictors. CONCLUSIONS: Readmission after pancreatic resection is common and can largely be attributed to infectious complications and inability to maintain adequate hydration and nutrition. Focus on outpatient resources and follow-up to address these issues will prove valuable in reducing readmissions.

Predictors of surgical site infection after hospital discharge in patients undergoing major vascular surgery.

OBJECTIVE: Surgical site infection (SSI) is one of the most common postoperative complications after vascular reconstruction, producing significant morbidity and hospital readmission. In contrast to SSI that develops while patients are still hospitalized, little is known about the cohort of patients who develop SSI after discharge. In this study, we explore the factors that lead to postdischarge SSI, investigate the differences between risk factors for in-hospital vs postdischarge SSI, and develop a scoring system to identify patients who might benefit from postdischarge monitoring of their wounds. METHODS: Patients who underwent major vascular surgery from 2005 to 2012 for aneurysm and lower extremity occlusive disease were identified from the American College of Surgeons National Surgical Quality Improvement Program Participant Use Files. Patients were categorized as having no SSI, in-hospital SSI, or SSI after hospital discharge. Predictors of postdischarge SSI were determined by multivariable logistic regression and internally validated by bootstrap resampling. Risk scores were assigned to all significant variables in the model. Summative risk scores were collapsed into quartile-based ordinal categories and defined as low, low/moderate, moderate/high, and high risk. Multivariable logistic regression was used to determine predictors of in-hospital SSI. RESULTS: Of the 49,817 patients who underwent major vascular surgery, 4449 (8.9%) were diagnosed with SSI (2.1% in-hospital SSI; 6.9% postdischarge SSI). By multivariable analysis, factors significantly associated with increased odds of postdischarge SSI include female gender, obesity, diabetes, smoking, hypertension, coronary artery disease, critical limb ischemia, chronic obstructive pulmonary disease, dyspnea, neurologic disease, prolonged operative time >4 hours, American Society of Anesthesiology class 4 or 5, lower extremity revascularization or aortoiliac procedure, and groin anastomosis. The model exhibited moderate discrimination (bias-corrected C statistic, 0.691) and excellent internal calibration. The postdischarge SSI rate was 2.1% for low-risk patients, 5.1% for low/moderate-risk patients, 7.8% for moderate/high-risk patients, and 14% for high-risk patients. In a comparative analysis, comorbidities were the primary driver of postdischarge SSI, whereas in-hospital factors (operative time, emergency case status) and complications predicted in-hospital SSI. CONCLUSIONS: The majority of SSIs after major vascular surgery develop following hospital discharge. We have created a scoring system that can select a cohort of patients at high risk for SSI after discharge. These patients can be targeted for transitional care efforts focused on early detection and treatment with the goal of reducing morbidity and preventing readmission secondary to SSI.

Conceptualizing smartphone use in outpatient wound assessment: patients' and caregivers' willingness to use technology.

BACKGROUND: Information technology is transforming health care communication. Using smartphones to remotely monitor incisional wounds via digital photos as well as collect postoperative symptom information has the potential to improve patient outcomes and transitional care. We surveyed a vulnerable patient population to evaluate smartphone capability and willingness to adopt this technology. METHODS: We surveyed 53 patients over a 9-mo period on the vascular surgery service at a tertiary care institution. Descriptive statistics were calculated to describe survey item response. RESULTS: A total of 94% of recruited patients (50 of 53) participated. The cohort was 50% female, and the mean age was age 70 y (range: 41-87). The majority of patients owned cell phones (80%) and 23% of these cell phones were smartphones. Ninety percent of patients had a friend or family member that could help take and send photos with a smartphone. Ninety-two percent of patients reported they would be willing to take a digital photo of their wound via a smartphone (68% daily, 22% every other day, 2% less than every other day, and 8% not at all). All patients reported they would be willing to answer questions related to their health via a smartphone. Patients identified several potential difficulties with regard to adopting a smartphone wound-monitoring protocol including logistics related to taking photos, health-related questions, and coordination with caretakers. CONCLUSIONS: Our survey demonstrates that an older patient cohort with significant comorbidity is able and willing to adopt a smartphone-based postoperative monitoring program. Patient training and caregiver participation will be essential to the success of this intervention.

Clinical characteristics associated with readmission among patients undergoing vascular surgery.

OBJECTIVE: Readmission after a vascular surgery intervention is frequent, costly, and often considered preventable. Vascular surgery outcomes have recently been scrutinized by Medicare because of the high rates of readmission. We determined patient and clinical characteristics associated with readmission in a cohort of vascular surgery patients. METHODS: From 2009 to 2013, the medical records of all patients (n = 2505) undergoing interventions by the vascular surgery service at a single tertiary care institution were retrospectively reviewed. Sociodemographic and clinical characteristics were examined for association with 30-day readmission to the same institution. RESULTS: The 30-day readmission rate to the same institution was 9.7 % (n = 244). Procedures most likely to result in readmission were below-knee (25%), foot (22%), and toe amputations (19%), as well as lower extremity revascularization (22%). Patients covered by Medicaid (16.8%) and Medicare (10.0%) were most likely to be readmitted, followed by fee-for-service (9.5%), self-pay (8.0%), and health maintenance organizations (5.5%; P < .05). Patients urgently admitted were more likely to be readmitted (16.2%) than those electively admitted (9.1%; P < .01). Patient severity as rated using the All Patient Refined Diagnosis Related Groups software (3M Health Information Systems, Wallingford, Conn) predicted readmission (16.2% high vs 6.2% low severity; P < .01). Initial length of stay was longer for readmitted than nonreadmitted patients (8.5 vs 6.1 days, respectively; P < .01). Intensive care unit admission during the initial hospitalization was associated with higher readmission rates in univariable analysis (18.3% with vs 9.5% without intensive care unit stay; P < .05). Discharge destination was also a strong predictor of readmission (rehabilitation, 19.2%; skilled nursing facility, 16.2%; home, 6.2%; P < .01). The effects of urgent admission, proximity to hospital, length of stay, lower extremity open procedure or amputation, and discharge destination persisted in multivariable logistic regression (P < .05). CONCLUSIONS: To reduce readmission rates effectively, institutions must identify high-risk patients. Efforts should focus on subgroups undergoing selected interventions (amputations, lower extremity revascularization), those with urgent admissions, and patients with extended hospital stays. Patients in need of postacute care upon discharge are especially prone to readmission, requiring special attention to discharge planning and coordination of postdischarge care. By focusing on subgroups at risk for readmission, preventative resources can be efficiently targeted.

Unplanned readmissions after vascular surgery.

OBJECTIVE: Existing literature on readmission after vascular surgery is limited. The upcoming reduction in Medicare reimbursement for institutions with high readmission rates mandates an accurate understanding of this issue. In this study, we characterize the frequency and causes of 30-day unplanned readmissions after elective vascular surgery. METHODS: Patients who underwent elective carotid endarterectomy (CEA), endovascular aortic repair (EVAR), open abdominal aortic aneurysm (oAAA) repair, or infrainguinal bypass grafting (BPG) were identified from the American College of Surgeons (ACS) National Surgical Quality Improvement Program (NSQIP) 2011 database (n = 11,246). Multivariable logistic regression was used to determine variables that contributed to 30-day unplanned readmissions for each surgery type. RESULTS: The unadjusted unplanned readmission rates after the four vascular procedures ranged from 6.5% for CEA to 15.7% for BPG. In multivariable analyses, patient comorbidities were associated with unplanned readmission after BPG and CEA (P < .05), whereas postoperative complications were more consistently associated with unplanned readmission after EVAR and oAAA repair (P < .05). For all procedures, complications leading to readmission developed more frequently after discharge. Thirty-day mortality was significantly higher in readmitted patients after BPG (1.9% vs 0.3%), EVAR (3.9% vs 0.1%), and CEA (2.2% vs 0.2%; P < .001 for each), but not after oAAA repair. CONCLUSIONS: Select comorbidities and postoperative complications contribute to unplanned readmissions after vascular surgery. The characteristics of readmitted patients vary with the type of procedure. Interventions designed to mitigate these factors have the potential to reduce unplanned readmissions but likely need to vary with the type of vascular treatment.

Rehospitalization to primary versus different facilities following abdominal aortic aneurysm repair.

OBJECTIVE: Reducing readmissions represents a unique opportunity to improve care and reduce health care costs and is the focus of major payers. A large number of surgical patients are readmitted to hospitals other than where the primary surgery was performed, resulting in clinical decisions that do not incorporate the primary surgeon and potentially alter outcomes. This study characterizes readmission to primary vs different hospitals after abdominal aortic aneurysm (AAA) repair and examines the implications with regard to mortality and cost. METHODS: Patients who underwent open or endovascular aneurysm repair for AAA were identified from the Centers for Medicare and Medicaid Services Chronic Conditions Warehouse, a random 5% national sample of Medicare beneficiaries from 2005 to 2009. Outcomes for patients who underwent AAA repair and were readmitted within 30 days of initial discharge were compared based on readmission location (primary vs different hospital). RESULTS: A total of 885 patients underwent AAA repair and were readmitted within 30 days. Of these, 626 (70.7%) returned to the primary facility, and 259 (29.3%) returned to a different facility. Greater distance from patient residence to the primary hospital was the strongest predictor of readmission to a different facility. Patients living 50 to 100 miles from the primary hospital were more likely to be readmitted to a different hospital compared with patients living <10 miles away (odds ratio, 8.50; P < .001). Patients with diagnoses directly related to the surgery (eg, wound infection) were more likely to be readmitted to the primary hospital, whereas medical diagnoses (eg, pneumonia and congestive heart failure) were more likely to be treated at a different hospital. There was no statistically significant difference in mortality between patients readmitted to a different or the primary hospital. Median total 30-day payments were significantly lower at different vs primary hospitals (primary, $11,978 vs different, $11,168; P = .04). CONCLUSIONS: Readmission to a different facility after AAA repair is common and occurs more frequently than for the overall Medicare population. Patients travelling a greater distance for AAA repair are more likely to return to different vs the primary hospital when further care is required. For AAA repair, quality healthcare may be achieved at marginally lower cost and with greater patient convenience for selected readmissions at hospitals other than where the initial procedure was performed.