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American Indians/Alaska Natives (AI/AN) receive less colorectal cancer (CRC) screening than other populations. Using gastroenterologist (GI) locations as a measure of colonoscopy access, we correlate GI density and AI/AN CRC screening rates.We identified GIs from the 2016 National Provider Identifier registry, and calculated GI density per 100,000 people. We identified screening, demographic, and socioeconomic variables from the 2016 Behavioral Risk Factor Surveillance System Survey. GI density and CRC screening rates were analyzed with Multivariable Poisson regression.In states with GI Density greater than 3.98/100,000, odds of AI/AN CRC screening are 1.27-1.37 times higher than in states below this threshold (p 0.036).GI density has a limited association on CRC screening, with decrease impact beyond threshold of 3.98 GI/100,000. Minimal access to GIs is important in improving AI/AN CRC screening; however, further research is required to elucidate the most critical factors contributing to CRC screening.

IntroductionUnderstanding postoperative opioid use patterns among different populations is key to developing opioid stewardship programs.MethodsWe performed a retrospective cohort study on opioid prescribing, use, and pain after general surgery procedures for patients cared for by a transitional pain service at a veterans administration hospital. Discharge opioid prescription quantity, 90-day opioid prescription, and patient reported outcome pain measures were compared between chronic opioid users and non-opioid users (NOU). Additionally, 90-day total opioid use was evaluated for NOU.ResultsOf 257 patients, 34 (13%) were on chronic opioid therapy, over 50% had a mental health disorder, and 29% had a history and/or presence of a substance use disorder. NOU were prescribed a median (IQR) of 10 (7, 12) tablets at discharge, while chronic opioid users were prescribed 6 (0, 12) tablets (pDiscussionNon-opioid and chronic opioid users required very few opioid pills following surgery, and patients on chronic opioid therapy quickly returned to their baseline opioid use after a small opioid prescription at discharge. There was no difference in pain recovery between groups. Opioid prescribing guidelines should include patients on chronic opioid therapy and could consider recommending a more conservative prescribing approach.

PURPOSE We determined whether a large, multianalyte panel of circulating biomarkers can improve detection of early-stage pancreatic ductal adenocarcinoma (PDAC). MATERIALS AND METHODS We defined a biologically relevant subspace of blood analytes on the basis of previous identification in premalignant lesions or early-stage PDAC and evaluated each in pilot studies. The 31 analytes that met minimum diagnostic accuracy were measured in serum of 837 subjects (461 healthy, 194 benign pancreatic disease, and 182 early-stage PDAC). We used machine learning to develop classification algorithms using the relationship between subjects on the basis of their changes across the predictors. Model performance was subsequently evaluated in an independent validation data set from 186 additional subjects. RESULTS A classification model was trained on 669 subjects (358 healthy, 159 benign, and 152 early-stage PDAC). Model evaluation on a hold-out test set of 168 subjects (103 healthy, 35 benign, and 30 early-stage PDAC) yielded an area under the receiver operating characteristic curve (AUC) of 0.920 for classification of PDAC from non-PDAC (benign and healthy controls) and an AUC of 0.944 for PDAC versus healthy controls. The algorithm was then validated in 146 subsequent cases presenting with pancreatic disease (73 benign pancreatic disease and 73 early- and late-stage PDAC cases) and 40 healthy control subjects. The validation set yielded an AUC of 0.919 for classification of PDAC from non-PDAC and an AUC of 0.925 for PDAC versus healthy controls. CONCLUSION Individually weak serum biomarkers can be combined into a strong classification algorithm to develop a blood test to identify patients who may benefit from further testing.

Background Patients rarely dispose of left-over opioids after surgery. Disposal serves as a primary prevention against misuse, overdose, and diversion. However, current interventions promoting disposal have mixed efficacy. Increasing disposal in rural communities could prevent or reduce the harms caused by prescription opioids. Aims Identify barriers and facilitators to disposal in the rural communities of the United States Mountain West region. Methods We conducted a qualitative description study with 30 participants from Arizona, Idaho, Montana, Nevada, Oregon, Utah, and Wyoming. We used a phronetic iterative approach combining inductive content and thematic analysis with deductive interpretation through the Precaution Adoption Process Model (PAPM). Results We identified four broad themes: (a) awareness, engagement, and education; (b) low perceived risk associated with nondisposal; (c) deciding to keep left-over opioids for future use; and (d) converting decisions into action. Most participants were aware of the importance of disposal but perceived the risks of nondisposal as low. Participants kept opioids for future use due to uncertainty about their recovery and future treatments, breakdowns in the patient–provider relationship, chronic illness or pain, or potential future injury. The rural context, particularly convenience, cost, and environmental contamination, contributes to decisional burden. Conclusions We identified PAPM stage-specific barriers to disposal of left-over opioids. Future interventions should account for where patients are along the spectrum of deciding to dispose or not dispose as well as promoting harm-reduction strategies for those who choose not to dispose.

BACKGROUND: Procedure-based opioid prescribing guidelines have reduced the amount of opioids prescribed after surgery; however, many patients still are over-prescribed opioids. The 24-hour pre-discharge opioid consumption (PDOC) metric has been proposed to guide patient-centered prescribing. MATERIALS AND METHODS: This is a single-institution, retrospective study of patients who underwent major abdominal surgery. We assessed the correlation between inpatient opioid use and discharge prescriptions using morphine milligram equivalents (MME). The adequacy of discharge prescriptions for individual patients was assessed using 2 models, one assuming constant opioid use (based on 24-hour PDOC) and the other assuming a linear taper. RESULTS: Of 596 included patients, gastric bypass and colectomy were the most common operations. Median length-of-stay was 3.5 days. Inpatient opioid use and discharge prescriptions were weakly correlated (r=0.35). Patients with no opioid use 24 hours prior to discharge (n=133, 22.3%) were frequently discharged with opioid prescriptions. Patients with high opioid use (24-hour PDOC >60 MME) were often discharged with prescriptions that would have lasted

In addition to severe, life-limiting complications such as malignant bowel obstruction, fistulae, and malignant ascites, peritoneal carcinomatosis frequently causes life-impacting symptoms such as pain, nausea, anorexia, cachexia, and fatigue. A variety of medical, interventional, and surgical therapies are now available for management of both complications and symptoms. Although surgery in this population is often associated with a relatively high risk of morbidity and mortality, operative intervention can offer effective palliative treatment in appropriately selected patients. Early involvement of palliative care specialists as part of a multidisciplinary team is essential to providing optimal, holistic care of patients with peritoneal carcinomatosis.

Background: Advance care planning (ACP) is recommended for older patients undergoing surgery. ACP consists of creating advance directives (ADs), identifying surrogate decision makers (SDMs), and documenting goals of care. We identified factors associated with documentation of preoperative ACP to identify opportunities to optimize ACP for older surgical patients. Methods: This was a retrospective study of surgical patients ≥70 years old who underwent elective, high-risk abdominal procedures between 01/2015-08/2019. Clinical data were obtained from our institution’s National Surgical Quality Improvement Project database. ACP metrics were extracted from the electronic medical record. We analyzed the data to identify patient factors associated with ACP metrics. We also analyzed whether ACP was more frequent for patients who experienced postoperative complications or death. Results: 267/1,651 patients were included. 97 patients (36%) had an AD available on the day of surgery, 57 (21%) had an SDM identified, and 31 (12%) had a documented goals of care conversation. On multivariable analysis, older age and white race were associated with an increased likelihood of having an AD available on the day of surgery. Women were 1.7 times more likely to have an SDM (p = 0.02). No patient or surgeon factors were significantly associated with goals of care documentation. ACP was not performed more frequently in patients who experienced postoperative complications or death. Conclusion: In this series, ACP was not routinely documented for older patients undergoing major surgery. ACP was not more frequent in patients who experienced complications or death, demonstrating the importance of universal preoperative ACP in older patients.

Background Merkel cell carcinoma (MCC) is a rare cutaneous neuroendocrine tumor that primarily affects elderly patients. Despite aggressive treatment, overall survival (OS) remains low. Methods This study is a multi-institutional, retrospective review of 102 patients with MCC. We evaluated OS, disease-specific survival (DSS), and risk factors for recurrence. Results Median age of patients was 71.46% of patients recurred. Patients with stage I disease had median 5-year OS of 59.3%, compared to 68.1% DSS. For stage III, median 5-year OS was 46.0% vs 58.2% DSS. Disease stage and advanced age were risk factors for recurrence and decreased OS. Immunocompromised status and disease stage were the strongest predictors of DSS. Conclusions DSS is significantly better than OS for patients with MCC. Many elderly patients with newly diagnosed MCC have low remaining life expectancy, regardless of their MCC diagnosis. Patient age and overall health status should be considered to personalize care plans for patients with MCC.

Successful recovery after surgery is complex and highly individual. Rural patients encounter greater barriers to successful surgical recovery than urban patients due to varying healthcare and community factors. Although studies have previously examined the recovery process, rural patients' experiences with recovery have not been well-studied. The rural socioecological context can provide insights into potential barriers or facilitators to rural patient recovery after surgery.We conducted semi-structured qualitative interviews with a purposeful sample of 30 adult general surgery patients from rural areas in the Mountain West region of the United States. We used the socioecological framework to analyze their responses. Interviews focused on rural participants' experiences accessing healthcare and the impact of family and community support during postoperative recovery. Interviews were transcribed verbatim and coded using content and thematic analysis.All participants commented on the quality of their rural healthcare systems and its influence on postoperative care. Some enjoyed the trust developed through long-standing relationships with providers in their communities. However, participants described community providers' lack of money, equipment, and/or knowledge as barriers to care. Following surgery, participants recognized that there are advantages and disadvantages to receiving family and community support. Some participants worried about being stigmatized or judged by their community.Future interventions aimed at improving access to and recovery from surgery for rural patients should take into account the unique perspectives of rural patients. Addressing the socioecological factors surrounding rural surgery patients, such as healthcare, family, and community resources, will be key to improving postoperative recovery.

BACKGROUND Anorectal melanoma (ARM) is a rare disease with a poor prognosis. Evidence on optimal treatment is limited and surgical management varies widely. We hypothesized that the frequency of abdominoperineal resection used as primary treatment of ARM has decreased over the past several decades. AIM To update our understanding of outcomes for patients with ARM and analyze management trends around the world. METHODS This is a multi-institutional, retrospective study of patients treated for ARM at 7 hospitals. Hospitals included both large, academic, tertiary care centers and smaller, general community hospitals. Using prospectively maintained institutional tumor registries, we identified 24 patients diagnosed with ARM between January 2000 and May 2019. We analyzed factors prognostic for recurrence and survival. We then used Cox regression to measure overall survival (OS) and melanoma-specific survival. We also performed a literature review to assess trends in surgical management and outcomes. RESULTS Of the 24 patients diagnosed with ARM, 12 (50.0%) had local, 8 (33.3%) regional, and 4 (16.7%) distant disease at diagnosis. Median time to recurrence was 10.4 mo [interquartile range (IQR) 7.5-17.2] with only 2 patients (9.3%) not developing recurrence following surgical resection. Median OS was 18.8 mo (IQR 13.5-33.9). One patient is still alive without recurrence at 21.4 mo from diagnosis; no other patient survived 5 years. Primary surgical management with abdominoperineal resection (APR) vs wide excision (WE) did not lead to differences in OS [hazard ratio = 1.4 (95%CI: 0.3-6.8)]. Review of the literature revealed geographic differences in surgical management of ARM, with increased use of WE in the United States and Europe over time and more frequent use of APR in Asia and India. There was no significant improvement in survival over time. CONCLUSION There is wide variation in the management of ARM and survival outcomes remain poor regardless of approach. Surgical management should aim to minimize morbidity.

Objective To determine the impact of tumor characteristics and treatment approach on (1) local recurrence, (2) scoliosis development and (3) patient-reported quality of life in children with sarcoma of the chest wall. Summary background data Children with chest wall sarcoma require multimodal therapy including chemotherapy, surgery and/or radiation. Despite aggressive therapy which places them at risk for functional impairment and scoliosis, these patients are also at significant risk for local recurrence. Methods A multi-institutional review of 175 children (median age 13 years) with chest wall sarcoma treated at seventeen Pediatric Surgical Oncology Research Collaborative institutions between 2008-2017 was performed. Patient-reported quality of life was assessed prospectively using PROMIS surveys. Results The most common diagnoses were Ewing sarcoma (67%) and osteosarcoma (9%). Surgical resection was performed in 85% and radiation in 55%. A median of 2 ribs were resected (IQR = 1-3), and number of ribs resected did not correlate with margin status (p = 0.36). Local recurrence occurred in 23% and margin status was the only predictive factor (HR 2.24, p = 0.039). With a median follow-up of 5 years, 13% developed scoliosis (median Cobb angle 26) and 5% required corrective spine surgery. Scoliosis was associated with posterior rib resection (HR 8.43; p = 0.003) and increased number of ribs resected (HR 1.78; p = 0.02). Overall, patient-reported quality of life is not impaired following chest wall tumor resection. Conclusions Local recurrence occurs in one-quarter of children with chest wall sarcoma and is independent of tumor type. Scoliosis occurs in 13% of patients, but patient-reported quality of life is excellent.

Background and objectives The relatively recent availability of effective systemic therapies for metastatic melanoma necessitates reconsideration of current surveillance patterns. Evidence supporting surveillance guidelines for resected Stage II melanoma is lacking. Prior reports note routine imaging detects only 21% of recurrent disease. This study aims to define recurrence patterns for Stage II melanoma to inform future surveillance guidelines. Methods This is a retrospective study of patients with Stage II melanoma. We analyzed risk factors for recurrence and methods of recurrence detection. We also assessed survival. Yearly hazards of recurrence were visualized. Results With a median follow-up of 4.9 years, 158 per 580 patients (27.2%) recurred. Overall, most recurrences were patient-detected (60.7%) or imaging-detected (27.3%). Routine imaging was important in detecting recurrence in patients with distant recurrences (adjusted rate 43.1% vs. 9.4% for local/in-transit; p = .04) and with Stage IIC melanoma (42.5% vs. 18.5% for IIA; p = .01). Male patients also self-detected recurrent disease less than females (52.1% vs. 76.8%; p Conclusions Routine imaging surveillance played a larger role in detecting recurrent disease for select groups in this cohort than noted in prior studies. In an era of effective systemic therapy, routine imaging should be considered for detection of asymptomatic relapse for select, high-risk patient groups.

PURPOSE: Pancreatic adenocarcinoma (PDAC) remains a highly lethal disease. Surgery represents the only opportunity for cure, but is accompanied by high rates of morbidity. Understanding patients’ lived experiences after surgical resection of PDAC is critical to knowing whether the decision to undergo surgery was worth it for these patients.METHODS: We performed a convergent, mixed-methods study with patients who underwent resection of PDAC between 01/01/2019-08/01/2020. Quantitative data (medical record review and 3 questionnaires) were analyzed using descriptive statistics. Qualitative data (semi-structured interviews) were analyzed using the constant comparative method. Data were then compared for congruence.RESULTS: 18/22 eligible participants completed interviews and 11 completed questionnaires. Data collection occurred at a median of 14.2 months (IQR 11.6-16.3) from surgery. We identified 4 main themes. First, persistent negative symptoms were common for patients, but patients adapt to these and are satisfied with their “new normal.” Second, patients have varied and continually evolving mindsets throughout their cancer journey. Third, despite decreased quality-of-life, patients have a high degree of satisfaction with their decision to pursue surgery. Finally, patients were okay with a passive role in decision-making around surgery. Despite variable involvement in decision-making and outcomes, no participants reported regret over the decision to pursue surgery. CONCLUSION: This nuanced account of patients’ lived experiences following surgery for PDAC allows for an improved understanding of the impact of pancreatic resection on patients. Surgeons can use this data to improve preoperative counselling for patients with PDAC and help guide them to making the correct decisions about surgery.

PurposeWe determined whether a large, multi-analyte panel of circulating biomarkers can improve detection of early-stage pancreatic ductal adenocarcinoma (PDAC).Experimental DesignWe defined a biologically relevant subspace of blood analytes based on previous identification in premalignant lesions or early-stage PDAC and evaluated each in pilot studies. The 31 analytes that met minimum diagnostic accuracy were measured in serum of 837 subjects (461 healthy, 194 benign pancreatic disease, 182 early stage PDAC). We used machine learning to develop classification algorithms using the relationship between subjects based on their changes across the predictors. Model performance was subsequently evaluated in an independent validation data set from 186 additional subjects.ResultsA classification model was trained on 669 subjects (358 healthy, 159 benign, 152 early-stage PDAC). Model evaluation on a hold-out test set of 168 subjects (103 healthy, 35 benign, 30 early-stage PDAC) yielded an area under the receiver operating characteristic (ROC) curve (AUC) of 0.920 for classification of PDAC from non-PDAC (benign and healthy controls) and an AUC of 0.944 for PDAC vs. healthy controls. The algorithm was then validated in 146 subsequent cases presenting with pancreatic disease (73 benign pancreatic disease, 73 early and late stage PDAC) as well as 40 healthy control subjects. The validation set yielded an AUC of 0.919 for classification of PDAC from non-PDAC and an AUC of 0.925 for PDAC vs. healthy controls.ConclusionsIndividually weak serum biomarkers can be combined into a strong classification algorithm to develop a blood test to identify patients who may benefit from further testing.

Objective: Interventions aimed at limiting opioid use are widespread. These are most often targeted toward prescribers or health systems. Patients’ perspectives are too often absent during the creation of such interventions. This qualitative study aims to understand patient experiences with education about perioperative pain control, from preoperative expectation-setting to post-operative pain control strategies and ultimately opioid disposal.Design: We performed semistructured interviews focused on patient experiences in the perioperative period. Content from interview transcripts was analyzed using a constant comparative method.Setting: All participants underwent surgery at a single, academic tertiary-care center.Participants: Adult patients who had a general surgery operation in the prior 60 days.Outcome measure: Key themes from interviews about perioperative pain management, specifically related to preoperative expectation-setting and post-operative education.Results: Patients identified gaps in communication and education in three main areas: preoperative expectation setting of post-operative pain; post-operative pain control strategies, including use of opioid medications; and the importance of appropriate opioid disposal. Failure to set expectations led to either significant patient anxiety preoperatively or poor preparation for home discharge. Poor education on pain control strategies led to misinformation on when and how to use opioids. Lack of education on opioid disposal led to most participants failing to properly dispose of leftover medication.Conclusions: Gaps in education surrounding post-operative pain and opioid use can lead to patient anxiety, inappropriate use of opioids, and poor disposal rates of leftover medications. Future interventions aimed at patient education to improve pain management and opioid stewardship should be created with an understanding of patient experiences and perceptions.

Many U.S. institutions have adopted postsurgical opioid-prescribing guidelines to standardize prescribing practices, and yet there is inherent variability in patients' opioid consumption after surgery. The utility of these guidelines is limited by the fact that some patients' needs will inevitably exceed them, and yet there are no evidence-based tools to help providers identify these patients. In this study we aimed to maximize the value of these guidelines by training machine learning models to predict patients whose needs will be met by these smaller recommended prescriptions, and patients who may require an additional degree of personalization. The aim of the present study was to develop predictive models for determining whether a surgical patient's postdischarge opioid requirement will fall above or below common opioid prescribing guidelines.We conducted a retrospective cohort study of surgical patients at one institution from 2017 to 2018. Patients were called after discharge to collect opioid consumption data. Machine learning models were used to identify outlier opioid consumers (ie, exceeding our institutional prescribing guidelines) using diagnosis codes, medical history, in-hospital opioid use, and perioperative factors as predictors. External validation was performed on opioid consumption data collected at a second institution from 2020 to 2021, and sensitivity analysis was performed using a third institution's prescribing guidelines.The development and external validation cohorts included 1,867 and 498 patients, respectively. Age, body mass index, tobacco use, preoperative opioid exposure, and in-hospital opioid consumption were the strongest predictors of postdischarge consumption. A lasso regression model exhibited an area under the receiver operating characteristic curve of 0.74 (95% confidence interval 0.67-0.81) in predicting postdischarge opioid consumption. External validation of a limited lasso model yielded an area under the receiver operating characteristic curve of 0.67 (0.60-0.74). Performance was preserved when evaluated on another institution's guidelines (area under the receiver operating characteristic curve 0.76 [0.72-0.80]).Patient characteristics reliably predict postdischarge opioid consumption in relation to prescribing guidelines for both opioid-naive and exposed populations. This model may be used to help providers confidently follow prescribing guidelines for patients with typical opioid responsiveness and correctly pursue more personalized prescribing for others.

BackgroundMalignant small bowel obstructions (MSBOs) are one of the most challenging problems surgeons encounter, and evidence-based treatment recommendations are lacking. We hypothesized that current opinions on MSBO management differ between acute care surgeons (ACSs) and surgical oncologists (SOs).MethodsWe developed three case scenarios describing patients with previously treated cancer who developed an MSBO. Each case had five to six alternate scenarios, intended to capture the heterogeneity of MSBO presentations. Members of the Society of Surgical Oncology, the American Society of Peritoneal Surface Malignancies, and the Eastern Association for the Surgery of Trauma were asked how likely they would be to offer surgical treatment in each scenario. Responses were analyzed for factors associated with the likelihood surgeons would offer surgical management.Results316 surgeons completed the survey: 119 (37.7%) SOs and 197 (62.3%) ACSs. Overall, SOs were nearly twice as likely as ACSs to recommend surgical management. The largest differences between provider groups were seen in patients with an increased metastatic burden. In a patient with MSBO with metastatic colon cancer, both SOs (95.8%) and ACSs (94.4%) were likely or very likely to offer an operation (p=0.587); however, this fell to 91.6% and 77.7%, respectively, when this patient had multiple hepatic metastases (p=0.001). All surgeons were less likely to offer surgery to patients with multiple sites of obstruction, recurrent MSBO, and shorter disease-free intervals.DiscussionOpinions on MSBO management differ based on surgeon training and experience. Multidisciplinary management of patients with MSBO should be offered when available and increased emphasis placed on determining optimal management guidelines across specialties.Level of evidenceLevel IV Epidemiologic.

Introduction: Adrenocorticotropin hormone (ACTH) secreting pancreatic neuroendocrine neoplasms (pNENs) are rare. The clinical and biological behavior of pNENs is poorly understood. Patients often present at an advanced stage of disease and outcomes remain poor. This report demonstrates a case of ectopic Cushing's syndrome secondary to an ACTH-producing pancreatic neuroendocrine carcinoma (pNEC). Case report: A 54-year-old woman presented with rapidly progressive Cushing's syndrome complicated by hypertension and acute heart failure. This was ultimately found to be secondary to a metastatic ACTH-producing pNEC. She underwent laparoscopic distal pancreatectomy and splenectomy with hepatic metastasectomy as primary treatment. She had rapid correction of her endocrine abnormalities and associated physiological abnormalities. She had progressive hepatic metastases found on imaging at 3 months, but remained free of significant endocrine abnormalities for 9 months after surgery. Her disease did recur and she died of complications associated with her disease at 1 year after her surgery. Conclusion: ACTH-producing pNEN is a very rare disease with a poor prognosis. Robust evidence to guide treatment decisions is limited. This report suggests that aggressive surgical management of primary and metastatic lesions for management of this disease is reasonable, consistent with prior case reports. Control of endocrine abnormalities offers the best opportunity for prolonged survival, and an aggressive surgical approach can achieve this goal. The patient presented had control of endocrine abnormalities after surgery for 9 months before symptomatic disease recurrence.

OBJECTIVE To assess the current barriers in robotic surgery training for general surgery residents. DESIGN Multi-institutional web-based survey. SETTING 9 academic medical centers with a general surgery residency. PARTICIPANTS General surgery residents of at least PGY-3 training level. RESULTS 163 general surgery residents were contacted with 80 responses (49.1%). The most common responders were PGY-3s (38.8%) followed by PGY-5s (27.5%). The Northeast represented 42.5% of responses. Colorectal cases were the most common robotic case residents were involved in (51.3%). Residents’ typical roles were assisting at the bedside (31.3%) and splitting time between assisting at the bedside and operating at the surgeon console (31.3%). 43% report to be either extremely or somewhat dissatisfied with their robotic surgery experience. 62.5% report they do not intend to integrate robotic surgery into their future practice. 93.8% of residents have a standardized robotic curriculum. 47.5% report using the simulator only during required didactic time with 52.5% having the robotic simulator conveniently located. The majority of residents report that the presence of dual consoles and first-assists in robotic cases enhance their robotic training (93% - 62%, respectively). 72.5% felt like they had more autonomy during laparoscopic cases and 96.8% of residents felt that an attendings’ lack of experience impacted their time operating at the surgeon console. CONCLUSIONS General surgery residents report lack of effective OR teaching, real clinical experience, and simulated experience as main barriers in their robotic surgery training. Dual consoles and first-assistants are favorably looked upon. Lack of attending experience and comfort were universally negatively associated with resident participation. For residents interested in robotic surgery, advocating for more robust investment in dual consoles, first-assistants, and faculty development would likely improve their robotic surgery training experience. However, residency programs should consider whether robotic surgery should be a core competency of an already time restricted training paradigm.

BACKGROUND: Leftover pills from postoperative opioid prescriptions place patients and members of their communities at risk for opioid misuse. We aimed to better understand patients’ post-discharge opioid consumption patterns to inform new methods of postoperative opioid prescribing. METHODS: We assessed post-discharge opioid consumption of general surgery patients and assessed the adequacy of discharge opioid prescriptions. We then compared patient opioid consumption to a number of theoretical discharge prescriptions based on different opioid prescribing guidelines and a proposed discharge prescription based on the metric 24-hour predischarge opioid consumption (PDOC). RESULTS: 62/99 patients (62.6%) returned an opioid log book. Median 24-hour PDOC was 22.5 MME (IQR 5.0–45.0) and median discharge prescription size was 15 pills (IQR:10-20). Prescriptions were adequate for 83.7% of patients. The median number of pills used was 3 (IQR:0-11) and median time to opioid cessation was 3 days (IQR:0-5). Actual prescriptions were consistent with national opioid prescribing guidelines. Prescriptions based on the formula 2x 24-hour PDOC would have decreased the number of leftover pills by 7.5 per patient. CONCLUSIONS: Despite prescribing opioids consistent with national opioid prescribing guidelines, patients still receive too many pills. Improved opioid prescribing could be accomplished by use of the formula 2x 24-hour PDOC.

Background Moral distress is common among healthcare providers, leading to staff burnout and attrition. This study aimed to identify root causes of and potential solutions to moral distress experienced by surgical intensive care unit (SICU) providers. Materials and methods This is a mixed methods study of physicians and nurses from a single, academic SICU. We obtained quantitative data from the Measures of Moral Distress for Healthcare Professionals (MMD-HP) survey and qualitative data from semi-structured interviews. The MMD-HP is a 27 question, validated survey on triggers of moral distress. Survey and interview data were analyzed to identify drivers of moral distress using a convergent design. Results 21 nurses and 25 physicians were surveyed and 17 providers interviewed. MMD-HP data demonstrated high levels of moral distress for nurses (mean total MMD-HP 132 ± 63.5) and physicians (121.7 ± 64.7), P = 0.68. The most frequent root cause of moral distress for all providers was participating in the delivery of aggressive care perceived to be futile. Nurses also reported caring for patients with unclear goals of care as a key driver of moral distress. Interview data supported these findings. Providers recommended improving access to palliative care to increase early communication on patient goals of care and end-of-life as a solution. Culture in the SICU often promotes supporting aggressive care however, acting as a potential barrier to increasing palliative resources. Conclusions Providing aggressive care that is perceived as futile was the primary driver of moral distress in the SICU. Interventions to improve early communication and access to end-of-life care should be prioritized to decrease moral distress in staff.

Background Surgical conditions exert a major health burden in low-income and middle-income countries (LMICs), yet surgery remains a low priority on national health agendas. Little is known about the national factors that influence whether surgery is prioritised in LMICs. We investigated factors that could facilitate or prevent surgery from being a health priority in three LMICs. Methods We undertook three country case studies in Papua New Guinea, Uganda, and Sierra Leone, using a qualitative process-tracing method. In total 72 semi-structured interviews were conducted between March and June, 2014, in the three countries. Interviews were designed to query informants' attitudes, values, and beliefs about how and why different health issues, including surgical care, were prioritised within their country. Informants were providers, policy makers, civil society, funders, and other stakeholders involved with health agenda setting and surgical care. Interviews were analysed with Dedoose, a qualitative data analysis tool. Themes were organised into a conceptual framework adapted from Shiffman and Smith to assess the factors that affected whether surgery was prioritised. Findings In all three countries, effective political and surgical leadership, access to country-specific surgical disease indicators, and higher domestic health expenditures are facilitating factors that promote surgical care on national health agendas. Competing health and policy interests and poor framing of the need for surgery prevent the issue from receiving more attention. In Papua New Guinea, surgical care is a moderate-to-high health priority. Surgical care is embedded in the national health plan and there are influential leaders with surgical interests. Surgical care is a low-to-moderate health priority in Uganda. Ineffectively used policy windows and little national data on surgical disease have impeded efforts to increase priority for surgery. Surgical care remains a low health priority in Sierra Leone. Resource constraints and competing health priorities, such as infectious disease challenges, prevent surgery from receiving attention. Interpretation Priority for surgery on national health agendas varies across LMICs. Increasing dialogue between surgical providers and political leaders can increase the power of actors who advocate for surgical care. Greater emphasis on the importance of surgical care in achieving national health goals can strengthen internal and external framing of the issue. Growing political recognition of non-communicable diseases provides a favourable political context to increase attention for surgery. Lastly, increasing internally generated issue characteristics, such as improved tracking of national surgical indicators, could increase the priority given to surgery within LMICs. Funding The Bill & Melinda Gates Foundation, King's Health Partners/King's College London, and Lund University.