A randomized controlled trial of a distress screening, consultation, and targeted referral system for family caregivers in oncologic care.

OBJECTIVE: Distress screening is standard practice among oncology patients, yet few routine distress screening programs exist for cancer caregivers. The objective of this study was to demonstrate the feasibility, acceptability, and preliminary efficacy of Cancer Support Source-CaregiverTM (CSS-CG, 33-item), an electronic distress screening and automated referral program with a consultation (S + C) to improve caregiver unmet needs, quality of life, anxiety, depression, and distress relative to Enhanced Usual Care (EUC; access to educational materials). METHOD: 150 caregivers of patients with varying sites/stages of cancer were randomized to S + C or EUC and completed assessments at baseline, 3-months post-baseline, and 6-months post-baseline. A subset of participants (n = 10) completed in-depth qualitative interviews. RESULTS: S + C was feasible: among 75 caregivers randomized to S + C, 66 (88%) completed CSS-CG and consultation. Top concerns reported were: (1) patient's pain and/or physical discomfort; (2) patient's cancer progressing/recurring; and (3) feeling nervous or afraid. Differences between groups in improvements on outcomes by T2 and T3 were modest (ds < 0.53) in favor of S + C. Qualitative data underscored the helpfulness of S + C in connecting caregivers to support and helping them feel cared for and integrated into cancer care. CONCLUSIONS: S + C is feasible, acceptable, and yields more positive impact on emotional well-being than usual care. Future studies will examine programmatic impact among caregivers experiencing higher acuity of needs, and benefits of earlier integration of S + C on caregiver, patient, and healthcare system outcomes.

Reducing opioid prescribing after ambulatory breast reconstruction surgery.

BACKGROUND: The lack of evidence-based guidelines for postoperative opioid prescriptions following breast reconstruction contributes to a wide variation in prescribing practices and increases potential for misuse and abuse. METHODS: Between August and December 2019, women who underwent outpatient breast reconstruction were surveyed 7-10 days before (n = 97) and after (n = 101) implementing a standardized opioid prescription reduction initiative. We compared postoperative opioid use, pain control, and refills in both groups. Patient reported outcomes were compared using the BREAST-Q physical wellbeing of the chest domain and a novel symptom Recovery Tracker. RESULTS: Before changes in prescriptions, patients were prescribed a median of 30 pills and consumed three pills (interquartile range [IQR: 1,9]). After standardization, patients were prescribed eight pills and consumed three pills (IQR: 1,6). There was no evidence of a difference in the proportion of patients experiencing moderate to very severe pain on the Recovery Tracker or in the early BREAST-Q physical wellbeing of the chest scores (p = 0.8 and 0.3, respectively). CONCLUSION: Standardizing and reducing opioid prescriptions for patients undergoing reconstructive breast surgery is feasible and can significantly decrease the number of excess pills prescribed. The was no adverse impact on early physical wellbeing, although larger studies are needed to obtain further data.

Effect of a Predictive Model on Planned Surgical Duration Accuracy, Patient Wait Time, and Use of Presurgical Resources: A Randomized Clinical Trial.

Importance: Accurate surgical scheduling affects patients, clinical staff, and use of physical resources. Although numerous retrospective analyses have suggested a potential for improvement, the real-world outcome of implementing a machine learning model to predict surgical case duration appears not to have been studied. Objectives: To assess accuracy and real-world outcome from implementation of a machine learning model that predicts surgical case duration. Design, Setting, and Participants: This randomized clinical trial was conducted on 2 surgical campuses of a cancer specialty center. Patients undergoing colorectal and gynecology surgery at Memorial Sloan Kettering Cancer Center who were scheduled more than 1 day before surgery between April 7, 2018, and June 25, 2018, were included. The randomization process included 29 strata (11 gynecological surgeons at 2 campuses and 7 colorectal surgeons at a single campus) to ensure equal chance of selection for each surgeon and each campus. Patients undergoing more than 1 surgery during the study's timeframe were enrolled only once. Data analyses took place from July 2018 to November 2018. Interventions: Cases were assigned to machine learning-assisted surgical predictions 1 day before surgery and compared with a control group. Main Outcomes and Measures: The primary outcome measure was accurate prediction of the duration of each scheduled surgery, measured by (arithmetic) mean (SD) error and mean absolute error. Effects on patients and systems were measured by start time delay of following cases, the time between cases, and the time patients spent in presurgical area. Results: A total of 683 patients were included (mean [SD] age, 55.8 [13.8] years; 566 women [82.9%]); 72 were excluded. Of the 683 patients included, those assigned to the machine learning algorithm had significantly lower mean (SD) absolute error (control group, 59.3 [72] minutes; intervention group, 49.5 [66] minutes; difference, -9.8 minutes; P = .03) compared with the control group. Mean start-time delay for following cases (patient wait time in a presurgical area), dropped significantly: 62.4 minutes (from 70.2 minutes to 7.8 minutes) and 16.7 minutes (from 36.9 minutes to 20.2 minutes) for patients receiving colorectal and gynecology surgery, respectively. The overall mean (SD) reduction of wait time was 33.1 minutes per patient (from 49.4 minutes to 16.3 minutes per patient). Improved accuracy did not adversely inflate time between cases (surgeon wait time). There was marginal improvement (1.5 minutes, from a mean of 70.6 to 69.1 minutes) in time between the end of cases and start of to-follow cases using the predictive model, compared with the control group. Patients spent a mean of 25.2 fewer minutes in the facility before surgery (173.3 minutes vs 148.1 minutes), indicating a potential benefit vis-à-vis available resources for other patients before and after surgery. Conclusions and Relevance: Implementing machine learning-generated predictions for surgical case durations may improve case duration accuracy, presurgical resource use, and patient wait time, without increasing surgeon wait time between cases. Trial Registration: ClinicalTrials.gov Identifier: NCT03471377.

Standardizing Opioid Prescriptions to Patients After Ambulatory Oncologic Surgery Reduces Overprescription.

BACKGROUND: Overprescribing of opioids after surgery contributes to long-term abuse. Evaluating opioid prescription patterns and patient-reported opioid use offers an evidence-based method to identify potential overprescription. This quality improvement initiative aimed to reduce and standardize opioid prescriptions upon discharge from an ambulatory oncologic surgery center and evaluate the effect of this change on patients' subsequent opioid use and reported pain. METHODS: Between March 2018 and January 2019, consecutive opioid-naïve patients aged ≥ 18 years who underwent robotic or laparoscopic hysterectomy, radical prostatectomy, or partial nephrectomy, or total mastectomy with or without immediate reconstruction were surveyed 7-10 days postoperatively. Data collected in the pre- (n = 551) and post-standardization (n = 480) cohorts included perception of pain relief, opioids prescribed (verified by electronic medical record review) and consumed, and refills received. RESULTS: Pre-standardization, the median opioid prescription at discharge was 20 pills (interquartile range [IQR] 20-28) or 140 oral morphine milligram equivalents (MME) (IQR 100-150). Median opioid consumption was 2 pills (IQR 0-7) or 10 MME (IQR 0-40) among all services. Opioid prescriptions were later standardized to 7, 8, and 10 pills (35, 40, and 75 MME), in the gynecology, urology, and breast services, respectively. The change was not associated with an increase in reported pain. Refill requests increased postintervention across all surgeries from 4.4% to 7.7%, with the largest increase among patients who underwent breast surgery. CONCLUSION: The number of opioid pills given at discharge to patients undergoing ambulatory or short-stay cancer surgery can safely be reduced.

Complex Cancer Surgery in the Outpatient Setting: The Josie Robertson Surgery Center.

Minimally invasive operative techniques and enhanced recovery after surgery (ERAS) protocols have transformed clinical practice and made it possible to perform increasingly complex oncologic procedures in the ambulatory setting, with recovery at home after a single overnight stay. Capitalizing on these changes, Memorial Sloan Kettering Cancer Center's Josie Robertson Surgery Center (JRSC), a freestanding ambulatory surgery facility, was established to provide both outpatient procedures and several surgeries that had previously been performed in the inpatient setting, newly transitioned to this ambulatory extended recovery (AXR) model. However, the JRSC core mission goes beyond rapid recovery, aiming to be an innovation center with a focus on superlative patient experience and engagement, efficiency, and data-driven continuous improvement. Here, we describe the JRSC genesis, design, care model, and outcome tracking and quality improvement efforts to provide an example of successful, patient-centered surgical care for select patients undergoing relatively complex procedures in an ambulatory setting.

Preoperative Anxiety in Patients Undergoing Outpatient Cancer Surgery.

OBJECTIVE: Our primary research aim was to determine the prevalence of preoperative anxiety in patients undergoing outpatient cancer surgery. Our secondary aim was to examine the association between preoperative anxiety and negative intraoperative and postoperative outcomes in patients undergoing outpatient cancer surgery, including increased anesthesia requirements, postoperative nausea and vomiting (PONV), extended overnight stay, total length of stay (LOS), transfer to hospital, surgical complications, and postoperative visits to urgent care centers (UCC). METHODS: We conducted a retrospective cohort study to investigate the prevalence of preoperative anxiety and its association with postoperative outcomes in patients undergoing outpatient cancer surgery. Our retrospective cohort included 10,048 outpatient procedures performed on 8683 patients at a large comprehensive cancer center between January 1, 2016, and April 30, 2018. RESULTS: The analysis included 8665 patients undergoing procedures at an outpatient facility over 16 months; 16.7% had preoperative anxiety. In patients with preoperative anxiety, higher rates of adverse outcomes were seen, including PONV (adjusted difference 1.8%, 95% confidence interval [CI] 0.12%, 3.4%, P = 0.029), unplanned overnight admission (adjusted difference 1.1%, 95% CI 0.07%, 2.0%, P = 0.021), and urgent care visits within 30 days (adjusted difference 1.5%, 95% CI 0.44%, 2.6%, P = 0.002). CONCLUSIONS: Even assuming a causal relationship between preoperative anxiety and postoperative outcomes, preventing one instance of PONV would require treating at least 30 patients for anxiety, and preventing longer-term outcomes such as urgent care visits or readmissions within 30 days would require treating even larger numbers of patients. Future studies should attempt to elucidate the causal pathway between preoperative anxiety and postoperative adverse events in outpatients undergoing outpatient cancer surgery.

Feasibility and Acceptability of Distress Screening for Family Caregivers at a Cancer Surgery Center.

OBJECTIVES: To determine the feasibility and acceptability of a validated electronic distress screening program for cancer caregivers. SAMPLE & SETTING: 17 informal caregivers presenting with a patient with cancer to an ambulatory cancer surgery center. METHODS & VARIABLES: Caregivers completed the CancerSupportSource®-Caregiver screening and a brief semistructured interview concerning the screening. RESULTS: Caregivers described the screening as straightforward and comprehensive. They endorsed concerns about their self-care needs but were most likely to request information or a referral for patient-focused concerns. Referrals generated from the program are likely viably addressed with existing supportive care resources. IMPLICATIONS FOR NURSING: Brief, caregiver-focused distress screening is perceived positively by caregivers. Caregivers indicated that they felt it validated the importance of their role and highlighted the hospital's efforts to continually improve care. This screening program may be particularly beneficial in ambulatory surgical centers to efficiently identify caregivers with concerns and provide a point of entry to remediate these concerns.

Impact of caregiver overnight stay on postoperative outcomes.

PURPOSE: The purpose of this paper is to determine the impact of having a patient-designated caregiver remain overnight with ambulatory extended recovery patients on early postoperative clinical outcomes. DESIGN/METHODOLOGY/APPROACH: This was a retrospective cohort study of patients undergoing surgery requiring overnight stay in a highly resourced free-standing oncology ambulatory surgery center. Postoperative outcomes in patients who had caregivers stay with them overnight were compared with outcomes in those who did not. All other care was standardized. Primary outcomes were postoperative length of stay, hospital readmission rates, urgent care center (UCC) visits within 30 days and perioperative complication rates. FINDINGS: Among patients staying overnight, 2,462 (57 percent) were accompanied by overnight caregivers. In this group, time to discharge was significantly lower. Readmissions (though rare) were slightly higher, though the difference was not statistically significant (p=0.059). No difference in early (<30 day) complications or UCC visits was noted. Presence of a caregiver overnight was not associated with important differences in outcomes, though further research in a less well-structured environment is likely to show a more robust benefit. Caregivers are still recommended to stay overnight if that is their preference as no harm was identified. ORIGINALITY/VALUE: This study is unique in its evaluation of the clinical impact of having a caregiver stay overnight with ambulatory surgery patients. Little research has focused on the direct impact of the caregiver on patient outcomes, especially in the ambulatory setting. With increased adoption of minimally invasive surgical techniques and enhanced recovery pathways, a larger number of patients are eligible for short-stay ambulatory surgery. Factors that impact discharge and early postoperative complications are important.