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Objective: To investigate the initial set of patient-reported outcomes (PROs) in the American College of Surgeons National Surgical Quality Improvement Program (NSQIP) and their associations with 30-day surgical outcomes. Background: PROs provide important information that can be used to improve routine care and facilitate quality improvement. The American College of Surgeons conducted a demonstration project to capture PROs into the NSQIP to complement clinical data. Methods: From February 2020 to March 2023, 65 hospitals collected Patient-Reported Outcomes Measurement Information System measures assessing global health, pain interference, fatigue, and physical function from patients accrued into the NSQIP. Using multivariable mixed regression, we compared the scores of patients with and without 30-day complications and further analyzed scores exceeding 1-SD worse than national benchmarks. Results: Overall, 33842 patients completed the Patient-Reported Outcomes Measurement Information System measures with a median of 58 days (IQR: 47-72) postoperatively. Among patients without complications (n = 31210), 33.9% had PRO scores 1-SD worse than national benchmarks. Patients with complications were 1.7 times more likely to report worse PROs (95% CI: 1.6-1.8). Patients with complications had lower scores for global physical health [adjusted mean difference (AMD): 2.6, 95% CI: 2.2-3.0], lower for global mental health (AMD: 1.8, 95% CI: 1.4-2.2), higher for pain interference (AMD: 2.4, 95% CI: 2.0-2.8), higher fatigue (AMD: 2.7, 95% CI: 2.3-3.1), and lower physical function (AMD: 3.2, 95% CI: 2.8-3.5). Conclusions: Postoperative complications negatively affect multiple key dimensions of patients' health-related quality of life. PROs were well below national benchmarks for many patients, even among those without complications. Identifying solutions to improve PROs after surgery remains a tremendous quality improvement opportunity. [ABSTRACT FROM AUTHOR]

Objective: To assess associations between social determinants of health (SDOH) needs and health-related quality of life (HRQOL) among surgical patients. Background: Despite the profound impact of SDOH on health outcomes, studies examining the effect of SDOH needs on HRQOL among surgical patients are limited. Methods: A retrospective study was conducted using responses from the SDOH needs assessment and the Patient-Reported Outcomes Measurement Information Systems Global Health instrument of adults seen in surgical clinics at a single institution. Patient characteristics including socioeconomic status (insurance type, education level, and employment status) were extracted. Stepwise multivariable logistic regression analyses were performed to identify independent predictors of global health scores. Results: A total of 8512 surgical patients (mean age: 55.6±15.8 years) were included. 25.2% of patients reported one or more SDOH needs. The likelihood of reporting at least one SDOH need varied by patient characteristics and socioeconomic status variables. In fully adjusted regression models, food insecurity [odds ratio (OR), 1.53; 95% CI, 1.38-1.70 and OR, 1.49; 95% CI, 1.22-1.81, respectively], housing instability (OR, 1.27; 95% CI, 1.12-1.43 and OR, 1.39; 95% CI, 1.13-1.70, respectively) lack of transportation (OR, 1.46; 95% CI, 1.27-1.68 and OR, 1.25; 95% CI, 1.00-1.57, respectively), and unmet medication needs (OR, 1.31; 95% CI, 1.13-1.52 and OR, 1.61; 95% CI, 1.28-2.03, respectively) were independent predictors of poor physical and mental health. Conclusions: SDOH needs are independent predictors of poor patient-reported physical and mental health among surgical patients. Assessing and addressing SDOH needs should be prioritized in health care settings and by policymakers to improve HRQOL. [ABSTRACT FROM AUTHOR]

Introduction: There is limited knowledge on pediatric chest radiograph (pCXR) interpretation skill among practicing physicians. We systematically determined baseline interpretation skill, the number of pCXR cases physicians required complete to achieve a performance benchmark, and which diagnoses posed the greatest diagnostic challenge. Methods: Physicians interpreted 434 pCXR cases via a web-based platform until they achieved a performance benchmark of 85% accuracy, sensitivity, and specificity. Interpretation difficulty scores for each case were derived by applying one-parameter item response theory to participant data. We compared interpretation difficulty scores across diagnostic categories and described the diagnoses of the 30% most difficult-to-interpret cases. Results: 240 physicians who practice in one of three geographic areas interpreted cases, yielding 56,833 pCXR case interpretations. The initial diagnostic performance (first 50 cases) of our participants demonstrated an accuracy of 68.9%, sensitivity of 69.4%, and a specificity of 68.4%. The median number of cases completed to achieve the performance benchmark was 102 (interquartile range 69, 176; min, max, 54, 431). Among the 30% most difficult-to-interpret cases, 39.2% were normal pCXR and 32.3% were cases of lobar pneumonia. Cases with a single trauma-related imaging finding, cardiac, hilar, and diaphragmatic pathologies were also among the most challenging. Discussion: At baseline, practicing physicians misdiagnosed about one-third of pCXR and there was up to an eight-fold difference between participants in number of cases completed to achieve the standardized performance benchmark. We also identified the diagnoses with the greatest potential for educational intervention. [ABSTRACT FROM AUTHOR]

Objective: The purpose of this study was to determine the prevalence of psychiatric diagnoses among a sample of breast reconstruction patients and measure the association between these diagnoses and reconstruction-related, patient-reported outcomes. Background: The impact of psychiatric disorders in conjunction with breast cancer diagnosis, treatment, and reconstruction have the potential to cause significant patient distress but remains not well understood. Methods: A retrospective review of postmastectomy breast reconstruction patients from 2007 to 2018 at Memorial Sloan Kettering Cancer Center was conducted. Patient demographics, comorbidities, cancer characteristics, psychiatric diagnoses, and BREAST-Q Reconstruction Module scores (measuring satisfaction with breast, well-being of the chest, psychosocial, and sexual well-being) at postoperative years 1 to 3 were examined. Mixed-effects models and cross-sectional linear regressions were conducted to measure the effect of psychiatric diagnostic class type and number on scores. Results: Of 7414 total patients, 50.1% had at least 1 psychiatric diagnosis. Patients with any psychiatric diagnoses before reconstruction had significantly lower BREAST-Q scores for all domains at all time points. Anxiety (50%) and depression (27.6%) disorders were the most prevalent and had the greatest impact on BREAST-Q scores. Patients with a greater number of psychiatric diagnostic classes had significantly worse patient-reported outcomes compared with patients with no psychiatric diagnosis. Psychosocial (β: −7.29; 95% confidence interval: −8.67, −5.91), and sexual well-being (β: −7.99; 95% confidence interval: −9.57, −6.40) were most sensitive to the impact of psychiatric diagnoses. Conclusions: Mental health status is associated with psychosocial and sexual well-being after breast reconstruction surgery as measured with the BREAST-Q. Future research will need to determine what interventions (eg, screening, early referral) can help improve outcomes for breast cancer patients with psychiatric disorders undergoing breast reconstruction. [ABSTRACT FROM AUTHOR]

Objective: This study explored surgical oncologists' perspectives on factors influencing adoption of quality standards in patients with advanced cancer. Background: The American College of Surgeons Geriatric Surgery Verification Program includes communication standards designed to facilitate goal-concordant care, yet little is known about how surgeons believe these standards align with clinical practice. Methods: Semistructured video-based interviews were conducted from November 2020 to January 2021 with academic surgical oncologists purposively sampled based on demographics, region, palliative care certification, and years in practice. Interviews addressed: (1) adherence to standards documenting care preferences for life-sustaining treatment, surrogate decision-maker, and goals of surgery; and (2) factors influencing their adoption into practice. Interviews were audio-recorded, transcribed, qualitatively analyzed, and conducted until thematic saturation was reached. Results: Twenty-six surgeons participated (57.7% male, 8.5 mean years in practice, 19.2% palliative care board-certified). Surgeons reported low adherence to documenting care preferences and surrogate decision-maker and high adherence to discussing, but not documenting, goals of surgery. Participants held conflicting views about the relevance of care preferences to preoperative conversations and surrogate decision-maker documentation by the surgeon and questioned the direct connection between documentation of quality standards and higher value patient care. Key themes regarding factors influencing adoption of quality standards included organizational culture, workflow, and multidisciplinary collaboration. Conclusions: Although surgeons routinely discuss goals of surgery, documentation is inconsistent; care preferences and surrogate decision-makers are rarely discussed or documented. Adherence to these standards would be facilitated by multidisciplinary collaboration, institutional standardization, and evidence linking standards to higher value care. [ABSTRACT FROM AUTHOR]

Supplemental Digital Content is Available in the Text. The information systems designed to support clinical care have evolved separately from those that support health professions education. This has resulted in a considerable digital divide between patient care and education, one that poorly serves practitioners and organizations, even as learning becomes ever more important to both. In this perspective, we advocate for the enhancement of existing health information systems so that they intentionally facilitate learning. We describe three well-regarded frameworks for learning that can point toward how health care information systems can best evolve to support learning. The Master Adaptive Learner model suggests ways that the individual practitioner can best organize their activities to ensure continual self-improvement. The PDSA cycle similarly proposes actions for improvement but at a health care organization's workflow level. Senge's Five Disciplines of the Learning Organization, a more general framework from the business literature, serves to further inform how disparate information and knowledge flows can be managed for continual improvement. Our main thesis holds that these types of learning frameworks should inform the design and integration of information systems serving the health professions. An underutilized mediator of educational improvement is the ubiquitous electronic health record. The authors list learning analytic opportunities, including potential modifications of learning management systems and the electronic health record, that would enhance health professions education and support the shared goal of delivering high-quality evidence-based health care. [ABSTRACT FROM AUTHOR]

Objective: We developed, tested, and validated machine learning algorithms to predict individual patient-reported outcomes at 1-year follow-up to facilitate individualized, patient-centered decision-making for women with breast cancer. Summary of Background Data: Satisfaction with breasts is a key outcome for women undergoing cancer-related mastectomy and reconstruction. Current decision-making relies on group-level evidence which may lead to suboptimal treatment recommendations for individuals. Methods: We trained, tested, and validated 3 machine learning algorithms using data from 1921 women undergoing cancer-related mastectomy and reconstruction conducted at eleven study sites in North America from 2011 to 2016. Data from 1921 women undergoing cancer-related mastectomy and reconstruction were collected before surgery and at 1-year follow-up. Data from 10 of the 11 sites were randomly split into training and test samples (2:1 ratio) to develop and test 3 algorithms (logistic regression with elastic net penalty, extreme gradient boosting tree, and neural network) which were further validated using the additional site's data. AUC to predict clinically-significant changes in satisfaction with breasts at 1-year follow-up using the validated BREAST-Q were the outcome measures. Results: The 3 algorithms performed equally well when predicting both improved or decreased satisfaction with breasts in both testing and validation datasets: For the testing dataset median accuracy = 0.81 (range 0.73–0.83), median AUC = 0.84 (range 0.78–0.85). For the validation dataset median accuracy = 0.83 (range 0.81–0.84), median AUC = 0.86 (range 0.83–0.89). Conclusion: Individual patient-reported outcomes can be accurately predicted using machine learning algorithms, which may facilitate individualized, patient-centered decision-making for women undergoing breast cancer treatment. [ABSTRACT FROM AUTHOR]

Objective: To understand the surgeon's perceived value of PROMs in 5 different surgical subspecialties. Summary of Background Data: PROMs are validated questionnaires that assess the symptoms, function, and quality of life from the patient's perspective. Despite the increasing support for use of PROMs in the literature, there is limited uptake amongst surgeons. Furthermore, there is insufficient understanding of the surgeons' perceived value of PROMs. The aim of this study is to understand how surgeons perceive value in PROMs. Methods: We conducted an exploratory qualitative study to understand the perceived value of PROMs from the perspective of surgeons in various subspecialties. Per convenience sampling, we conducted semi-structured interviews with 30 surgeons from 5 subspecialties across 3 academic medical centers. The surgical subspecialties included bariatric surgery, breast oncologic surgery, orthopedic surgery, plastic and reconstructive surgery, and rhinology. Interviews were transcribed, coded, and evaluated with thematic analysis. Results: Surgeons endorsed that PROMs can be used to enhance clinical management, counsel patients in the preoperative and postoperative settings, and elicit sensitive information from patients that otherwise may go undetected. Obstacles to PROMs use include failure to generate actionable data, implementation obstacles, and inappropriate use of PROMs as a performance metric, with concerns regarding inadequate risk adjustment. Conclusions: Establishing an effective PROMs program requires an understanding of the surgeon's perspective of PROMs. Despite obstacles, different subspecialty surgeons find PROMs to be valuable in different settings, depending on the specialty and clinical context. [ABSTRACT FROM AUTHOR]

Supplemental Digital Content is available in the text Objective: To synthesize the current state of PROM implementation and collection in routine surgical practice through a review of the literature. Summary of Background Data: Patient-reported outcomes (PROs) are increasingly relevant in the delivery of high quality, individualized patient care. For surgeons, PROMs can provide valuable insight into changes in patient quality of life before and after surgical interventions. Despite consensus within the surgical community regarding the promise of PROMs, little is known about their real-world implementation. Methods: The literature search was conducted in MEDLINE and Embase for studies published after 2012. We conducted a scoping review to synthesize the current state of implementation of PROs across all sizes and types of surgical practices. Studies were included if they met the following inclusion criteria: (1) patients ≥18 years 2) routine surgical practice, (3) use of a validated PRO instrument in the peri-operative period to report on general or disease-specific health-related quality of life, (4) primary or secondary outcome was implementation. Two independent reviewers screened 1524 titles and abstracts. Findings: 16 studies were identified that reported on the implementation of PROMs for surgical patients. Sample size ranged from 41 patients in a single-center pilot study to 1324 patients in a study across 17 institutions. PROs were collected pre-operatively in 3 studies, post-operatively in 10, and at unspecified times in 4. The most commonly reported implementation outcomes were fidelity (12) and feasibility (11). Less than half of studies analyzed nonrespondents. All studies concluded that collection of PROMs was successful based on outcomes measured. Conclusions: The identified studies suggest that implementation metrics including minimum standards of collection pre- and postintervention, reporting for response rates in the context of patient eligibility and analysis of respondents and nonrespondents, in addition to transparency regarding the resources utilized and cost, can facilitate adoption of PROMs in clinical care and accountability for surgical outcomes. [ABSTRACT FROM AUTHOR]

Objective: We implemented routine daily electronic monitoring of patient-reported outcomes (PROs) for 10 days after discharge after ambulatory cancer surgery, with alerts to clinical staff for worrying symptoms. We sought to determine whether enhancing this monitoring by adding immediate automated normative feedback to patients regarding expected symptoms would further improve the patient experience. Summary of Background Data: PRO monitoring reduces symptom severity in cancer patients. In ambulatory cancer surgery, it reduces potentially avoidable urgent care center (UCC) visits, defined as those UCC visits without readmission. Methods: Patients undergoing ambulatory cancer surgery (n = 2624) were randomized to receive standard PRO monitoring or enhanced feedback. The primary study outcome was UCC visits without readmission within 30 days; secondary outcomes included patient anxiety and nursing utilization. Results: There was no significant difference in the risk of a potentially avoidable UCC visit [1.0% higher in enhanced feedback, 95% confidence interval (CI) -0.2–3.1%; P = 0.12]. There were similarly no significant differences in UCC visits with readmission or readmission overall (P = 0.4 for both). Patients randomized to enhanced feedback demonstrated a quicker reduction in anxiety (P < 0.001) and required 14% (95% CI 8–19%; P < 0.001) and 10% (95% CI 5–16%, P < 0.001) fewer nursing calls over 10 and 30 days postoperatively. Conclusions: Providing patients with feedback about symptom severity during recovery from ambulatory cancer surgery reduces anxiety and nursing workload without affecting UCC visits or readmissions. These results support wider incorporation of normative feedback in systems for routine PRO monitoring. [ABSTRACT FROM AUTHOR]

Objective: The primary aim of this study was to compare patient-reported outcomes (PROs) of women who underwent immediate implant-based breast reconstruction (IBBR) after receiving either: (1) nipple-sparing mastectomy (NSM) or (2) simple mastectomy with subsequent nipple reconstruction (SNR). Background: The goal of post-mastectomy breast reconstruction is to restore body image and quality-of-life after mastectomy, but removal of the nipple-areolar complex may have its own negative psychosocial consequences. NSM may have increased in popularity due to its perceived oncologic safety in many women and to reports of superior aesthetic results with this technique. Despite the increased utilization of NSM, few studies have evaluated the impact of NSM on PROs and complications in women undergoing immediate IBBR. Methods: We performed a secondary analysis of the Mastectomy Reconstruction Outcomes Consortium study, a multicenter, prospective cohort study that recruited patients between February 2012 and July 2015. The primary aim of this study was to compare PROs as measured by BREAST-Q scores between women who underwent IBBR after NSM versus SNR. The secondary aim was to compare complication rates. Mixed-effects regression models controlled for demographic and clinical covariates. Results: Of the 600 women in the study, 286 (47.7%) underwent NSM. After controlling for baseline patient characteristics, we found no significant differences in satisfaction with breast, psychosocial well-being, physical well-being or sexual well-being between women undergoing NSM versus SNR. Mastectomy type was not a significant predictor of complications or reconstructive failure. Conclusions: Despite reports of superior aesthetics for NSM over simple mastectomy with nipple reconstruction in immediate IBBR, we found no significant differences at 2 years after reconstruction in patient satisfaction, quality-of-life, or complication rates. [ABSTRACT FROM AUTHOR]

Objective: This study sought to estimate the incidence and incidence rate of breast implant-associated anaplastic large cell lymphoma (BIA-ALCL) at a high-volume single institution, which enables vigorous long-term follow-up and implant tracking for more accurate estimates. Summary Background Data: The reported incidence of BIA-ALCL is highly variable, ranging from 1 in 355 to 1 in 30,000 patients, demonstrating a need for more accurate estimates. Methods: All patients who underwent implant-based breast reconstruction from 1991 to 2017 were retrospectively identified. The incidence and incidence rate of BIA-ALCL were estimated per patient and per implant. A time-to-event analysis was performed using the Kaplan-Meier estimator and life table. Results: During the 26-year study period, 9373 patients underwent reconstruction with 16,065 implants, of which 9589 (59.7%) were textured. Eleven patients were diagnosed with BIA-ALCL, all of whom had a history of textured implants. The overall incidence of BIA-ALCL was 1.79 per 1000 patients (1 in 559) with textured implants and 1.15 per 1000 textured implants (1 in 871), with a median time to diagnosis of 10.3 years (range, 6.4-15.5 yrs). Time-to-event analysis demonstrated a BIA-ALCL cumulative incidence of 0 at up to 6 years, increasing to 4.4 per 1000 patients at 10 to 12 years and 9.4 per 1000 patients at 14 to 16 years, although a sensitivity analysis showed loss to follow-up may have skewed these estimates. Conclusions: BIA-ALCL incidence and incidence rates may be higher than previous epidemiological estimates, with incidence increasing over time, particularly in patients exposed to textured implants for longer than 10 years. [ABSTRACT FROM AUTHOR]

Objective: The aim of the study was to determine the association of patient-reported experiences (PREs) and risk-adjusted surgical outcomes among group practices. Background: The Centers for Medicare and Medicaid Services required large group practices to submit PREs data for successful participation in the Physician Quality Reporting System (PQRS) using the Consumer Assessment of Healthcare Providers and Systems for PQRS survey. Whether these PREs data correlate with perioperative outcomes remains ill defined. Methods: Operations between January 1, 2014 and December 31, 2016 in the American College of Surgeons' National Surgical Quality Improvement Program registry were merged with 2015 Consumer Assessment of Healthcare Providers and Systems for PQRS survey data. Hierarchical logistic models were constructed to estimate associations between 7 subscales and 1 composite score of PREs and 30-day morbidity, unplanned readmission, and unplanned reoperation, separately, while adjusting for patient- and procedure mix. Results: Among 328 group practices identified, patients reported their experiences with clinician communication the highest (mean ± standard deviation, 82.66 ± 3.10), and with attention to medication cost the lowest (25.96 ± 5.14). The mean composite score was 61.08 (±6.66). On multivariable analyses, better PREs scores regarding medication cost, between-visit communication, and the composite score of experience were each associated with 4% decreased odds of morbidity [odds ratio (OR) 0.96, 95% confidence interval (CI) 0.92-0.99], readmission (OR 0.96, 95% CI 0.93-0.99), and reoperation (OR 0.96, 95% CI 0.93-0.99), respectively. In sensitivity analyses, better between-visit communication remained significantly associated with fewer readmissions. Conclusions: In these data, patients' report of better between-visit communication was associated with fewer readmissions. More sensitive, surgery-specific PRE assessments may reveal additional unique insights for improving the quality of surgical care. [ABSTRACT FROM AUTHOR]

The health systems science (HSS) framework articulates systems-relevant topics that medical trainees must learn to be prepared for physician practice. As new HSS-related curricula are developed, measures demonstrating appropriate levels of reliability and validity are needed. The authors describe a collaborative effort between a consortium of medical schools and the National Board of Medical Examiners to create a multiple-choice HSS examination in the areas of evidence-based medicine/population health, patient safety, quality improvement, and teamwork. Fifteen schools administered the 100-question examination through 2 academic years a total of 1887 times to 1837 first-time takers. Total test score mean was 67% (SD 11%). Total test reliability as measured by coefficient α was .83. This examination differentiated between medical students who completed the examination before, during, and after relevant training/instruction. This new HSS examination can support and inform the efforts of institutions as they integrate HSS-related content into their curricula. [ABSTRACT FROM AUTHOR]

Objective: To better understand the long-term patient-reported outcomes (PROs) in satisfaction and health-related quality of life (QOL) following post-mastectomy reconstruction (PMR) using the BREAST-Q, comparing PROs from patients undergoing implant-based breast reconstruction (IBR) or autologous breast reconstruction (ABR). Summary of Background Data: Multiple studies have demonstrated growth in mastectomy rates and concurrent increase in PMR utilization. However, most studies examining PMR PROs focus on short postoperative time periods—mainly within 2 years. Methods: BREAST-Q scores from IBR or ABR patients at a tertiary center were prospectively collected from 2009 to 2017. Mean scores and standard deviations (SDs) were calculated for satisfaction with breast, satisfaction with outcome, psychosocial well-being, physical well-being of the chest, and sexual well-being. Satisfaction with breasts and physical well-being of the chest were compared using regression models at postoperative years 1, 3, 5, and 7. Results: Overall, 3268 patients were included, with 336 undergoing ABR and 2932 undergoing IBR. Regression analysis demonstrated that ABR patients had greater postoperative satisfaction with breast scores at all timepoints compared with IBR patients. Postoperative radiation and mental illness adversely impacted satisfaction with breast scores. Furthermore, mental illness impacted physical wellbeing of the chest at all timepoints. IBR patients had satisfaction scores that remained stable over the study period. Conclusion: This study presents the largest prospective examination of PROs in PMR to date. Patients who opted for ABR had significantly higher satisfaction with their breast and QOL at each assessed time point, but IBR patients had stable long-term satisfaction and QOL postoperatively. [ABSTRACT FROM AUTHOR]

Objective: Our objectives were to investigate case-mix adjusted hospital variations in 2-year clinical and patient-reported outcomes following immediate breast reconstruction. Background: Over the past few decades, variations in medical practice have been viewed as opportunities to promote best practices and high-value care. Methods: The Mastectomy Reconstruction Outcomes Consortium Study is an National Cancer Institute-funded longitudinal, prospective cohort study assessing clinical and patient-reported outcomes of immediate breast reconstruction after mastectomy at 11 leading medical centers. Case-mix adjusted comparisons were performed using generalized linear mixed-effects models to assess variation across the centers in any complication, major complications, satisfaction with outcome, and satisfaction with breast. Results: Among 2252 women in the analytic cohort, 1605 (71.3%) underwent implant-based and 647 (28.7%) underwent autologous breast reconstruction. There were significant differences in the sociodemographic and clinical characteristics, and distribution of procedure types at the different Mastectomy Reconstruction Outcomes Consortium Study centers. After case-mix adjustments, hospital variations in the rates of any and major postoperative complications were observed. Medical center odds ratios for major complication ranged from 0.58 to 2.13, compared with the average major complication rate across centers. There were also meaningful differences in satisfaction with outcome (from the lowest to highest of −2.79–2.62) and in satisfaction with breast (−2.82–2.07) compared with the average values. Conclusions: Two-year postoperative complications varied widely between hospitals following post-mastectomy breast reconstruction. These variations represent an important opportunity to improve care through dissemination of best practices and highlight the limitations of extrapolating single-institution level data and the ongoing challenges of studying hospital-based outcomes for this patient population. [ABSTRACT FROM AUTHOR]