Adding Patient-Reported Outcomes to the American College of Surgeons National Surgical Quality Improvement Program: Results of the First 33,842 Patients from 65 Hospitals.

OBJECTIVES: To investigate the initial set of patient-reported outcomes (PROs) in the ACS 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 ACS conducted a demonstration project to capture PROs into the NSQIP to complement clinical data. METHODS: From 2/2020-3/2023, 65 hospitals collected PROMIS 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 one standard deviation (1-SD) worse than national benchmarks. RESULTS: Overall, 33842 patients completed the PROMIS measures a median 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 thus remains a tremendous quality opportunity.

Social Determinants of Health Needs and Health-related Quality of Life Among Surgical Patients: A Retrospective Analysis of 8512 Patients.

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.

Body Contouring Surgery After Bariatric Surgery Improves Long-Term Health-Related Quality of Life and Satisfaction With Appearance: An International Longitudinal Cohort Study Using the BODY-Q.

OBJECTIVE: To examine health-related quality of life (HRQL) and satisfaction with appearance in patients who have undergone bariatric surgery (BS) with or without subsequent body contouring surgery (BCS) in relation to the general population normative for the BODY-Q. BACKGROUND: The long-term impact of BS with or without BCS has not been established using rigorously developed and validated patient-reported outcome measures. The BODY-Q is a patient-reported outcome measure developed to measure changes in HRQL and satisfaction with appearance in patients with BS and BCS. METHODS: Prospective BODY-Q data were collected from 6 European countries (Denmark, the Netherlands, Finland, Germany, Italy, and Poland) from June 2015 to February 2022 in a cohort of patients who underwent BS. Mixed-effects regression models were used to analyze changes in HRQL and appearance over time between patients who did and did not receive BCS and to examine the impact of patient-level covariates on outcomes. RESULTS: This study included 24,604 assessments from 5620 patients. BS initially led to improved HRQL and appearance scores throughout the first postbariatric year, followed by a gradual decrease. Patients who underwent subsequent BCS after BS experienced a sustained improvement in HRQL and appearance or remained relatively stable for up to 10 years postoperatively. CONCLUSIONS: Patients who underwent BCS maintained an improvement in HRQL and satisfaction with appearance in contrast to patients who only underwent BS, who reported a decline in scores 1 to 2 years postoperatively. Our results emphasize the pivotal role that BCS plays in the completion of the weight loss trajectory.

BREAST-Q REACT: Qualitative Assessment of the Design, Functionality, and Clinical Utility of a New Score Interpretation Tool.

BACKGROUND: The BREAST-Q real-time engagement and communication tool (REACT) was developed to aid with BREAST-Q score interpretation and guide patient-centered care. OBJECTIVE: The purpose of this qualitative study was to examine the perspectives of patients and providers on the design, functionality, and clinical utility of REACT and refine the REACT based on their recommendations. METHODS: We conducted three patient focus groups with women who were at least 6 postoperative months from their postmastectomy breast reconstruction, and two provider focus groups with plastic surgeons, breast surgeons, and advanced practice providers. Focus groups were audio-taped, transcribed verbatim, and analyzed thematically. RESULTS: A total of 18 breast reconstruction patients and 14 providers participated in the focus groups. Themes identified by thematic analysis were organized into two categories: (1) design and functionality, and (2) clinical utility. On the design and functionality of REACT, four major themes were identified: visual appeal and usefulness; contextualizing results; ability to normalize patients' experiences, noting participants' concerns; and suggested modifications. On the clinical utility of REACT, three major themes were identified: potential to empower patients to communicate with their providers; increase patient and provider motivation to engage with the BREAST-Q; and effective integration into clinical workflow. CONCLUSION: Patients and providers in this qualitative study indicated that with some modifications, REACT has a great potential to elevate the clinical utility of the BREAST-Q by enhancing patient-provider communication that can lead to patient-centered, clinically relevant action recommendations based on longitudinal BREAST-Q scores.

Remote Symptom Monitoring with Clinical Alerts Following Mastectomy: Do Early Symptoms Predict 30-Day Surgical Complications.

BACKGROUND: Electronic patient-reported outcome measures (ePROMs) for real-time remote symptom monitoring facilitate early recognition of postoperative complications. We sought to determine whether remote, electronic, patient-reported symptom-monitoring with Recovery Tracker predicts 30-day readmission or reoperation in outpatient mastectomy patients. METHODS: We conducted a retrospective review of breast cancer patients who underwent outpatient (< 24-h stay) mastectomy with or without reconstruction from April 2017 to January 2022 and who received the Recovery Tracker on Days 1-10 postoperatively. Of 5,130 patients, 3,888 met the inclusion criteria (2,880 mastectomy with immediate reconstruction and 1,008 mastectomy only). We focused on symptoms concerning for surgical complications and assessed if symptoms reaching prespecified alert levels-prompting a nursing call-predicted risk of 30-day readmission or reoperation. RESULTS: Daily Recovery Tracker response rates ranged from 45% to 70%. Overall, 1,461 of 3,888 patients (38%) triggered at least one alert. Most red (urgent) alerts were triggered by pain and fever; most yellow (less urgent) alerts were triggered by wound redness and pain severity. The 30-day readmission and reoperation rates were low at 3.8% and 2.4%, respectively. There was no statistically significant association between symptom alerts and 30-day reoperation or readmission, and a clinically relevant increase in risk can be excluded (odds ratio 1.08; 95% confidence interval 0.8-1.46; p = 0.6). CONCLUSIONS: Breast cancer patients undergoing mastectomy with or without reconstruction in the ambulatory setting have a low burden of concerning symptoms, even in the first few days after surgery. Patients can be reassured that symptoms that do present resolve quickly thereafter.

Patterns of Social Needs Predict Quality-of-Life and Healthcare Utilization Outcomes in Patients from a Large Hospital System.

BACKGROUND: Unmet social needs (SNs) often coexist in distinct patterns within specific population subgroups, yet these patterns are understudied. OBJECTIVE: To identify patterns of social needs (PSNs) and characterize their associations with health-related quality-of-life (HRQoL) and healthcare utilization (HCU). DESIGN: Observational study using data on SNs screening, HRQoL (i.e., low mental and physical health), and 90-day HCU (i.e., emergency visits and hospital admission). Among patients with any SNs, latent class analysis was conducted to identify unique PSNs. For all patients and by race and age subgroups, compared with no SNs, we calculated the risks of poor HRQoL and time to first HCU following SNs screening for each PSN. PATIENTS: Adult patients undergoing SNs screening at the Mass General Brigham healthcare system in Massachusetts, United States, between March 2018 and January 2023. MAIN MEASURES: SNs included: education, employment, family care, food, housing, medication, transportation, and ability to pay for household utilities. HRQoL was assessed using the Patient-Reported Outcomes Measurement Information System Global-10. KEY RESULTS: Six unique PSNs were identified: "high number of social needs," "food and utility access," "employment needs," "interested in education," "housing instability," and "transportation barriers." In 14,230 patients with HRQoL data, PSNs increased the risks of poor mental health, with risk ratios ranging from 1.07(95%CI:1.01-1.13) to 1.80(95%CI:1.74-1.86). Analysis of poor physical health yielded similar findings, except that the "interested in education" showed a mild protective effect (0.97[95%CI:0.94-1.00]). In 105,110 patients, PSNs increased the risk of 90-day HCU, with hazard ratios ranging from 1.09(95%CI:0.99-1.21) to 1.70(95%CI:1.52-1.90). Findings were generally consistent in subgroup analyses by race and age. CONCLUSIONS: Certain SNs coexist in distinct patterns and result in poorer HRQoL and more HCU. Understanding PSNs allows policymakers, public health practitioners, and social workers to identify at-risk patients and implement integrated, system-wide, and community-based interventions.

Further psychometric evaluation of the WOUND-Q: A responsiveness study.

The WOUND-Q is a modular patient-reported outcome measure (PROM) with 13 scales measuring constructs across 4 domains (i.e., wound characteristics, health related quality of life, experience of care and wound treatment). The psychometrics of the WOUND-Q were previously assessed and the 13 scales evidenced good validity and reliability. However, the responsiveness (i.e., ability to detect clinical change) of the WOUND-Q has yet to be assessed. The objective of this study was to evaluate responsiveness for 9 WOUND-Q scales that assess outcomes, in a sample of people 18 years of age or older with chronic wounds that were present for at least 3 months. This study conducted a 4 month follow-up of 421 participants who completed the WOUND-Q as part of a previous psychometric study. Participants completed an online survey answering questions about their current wound state (e.g., number, type, size, smell, drainage), anchor questions about change, as well as the WOUND-Q scales that they had completed in their initial assessment. Pre-defined hypotheses were tested with a 75% acceptance threshold indicating sufficient evidence of responsiveness. Minimally important differences (MIDs) were also calculated using both anchor-based and distribution-based methods. Of 390 invited participants, 320 provided responses, ranging in age from 19 to 84 years. Acceptance of hypotheses ranged from 60% to 100%, with only the Symptom scale not meeting the 75% threshold. The findings of this study provide evidence that the WOUND-Q can validly measure clinical change in patients with chronic wounds.

Patient-reported outcome measures for primary hyperparathyroidism: a systematic review of measurement properties.

BACKGROUND: The quality of patient-reported outcome measures (PROMs) used to assess the outcomes of primary hyperparathyroidism (PHPT), a common endocrine disorder that can negatively affect patients' health-related quality of life due to chronic symptoms, has not been rigorously examined. This systematic review aimed to summarize and evaluate evidence on the measurement properties of PROMs used in adult patients with PHPT, and to provide recommendations for appropriate measure selection. METHODS: After PROSPERO registration (CRD42023438287), Medline, EMBASE, CINAHL Complete, Web of Science, PsycINFO, and Cochrane Trials were searched for full-text articles in English investigating PROM development, pilot studies, or evaluation of at least one PROM measurement property in adult patients with any clinical form of PHPT. Two reviewers independently identified studies for inclusion and conducted the review following the Consensus-Based Standards for the Selection of Health Measurement Instruments (COSMIN) Methodology to assess risk of bias, evaluate the quality of measurement properties, and grade the certainty of evidence. RESULTS: From 4989 records, nine PROM development or validation studies were identified for three PROMs: the SF-36, PAS, and PHPQoL. Though the PAS demonstrated sufficient test-retest reliability and convergent validity, and the PHPQoL sufficient test-retest reliability, convergent validity, and responsiveness, the certainty of evidence was low-to-very low due to risk of bias. All three PROMs lacked sufficient evidence for content validity in patients with PHPT. CONCLUSIONS: Based upon the available evidence, the SF-36, PAS, and PHPQoL cannot currently be recommended for use in research or clinical care, raising important questions about the conclusions of studies using these PROMs. Further validation studies or the development of more relevant PROMs with strong measurement properties for this patient population are needed.

Extracting big data from the internet to support the development of a new patient-reported outcome measure for breast implant illness: a proof of concept study.

PURPOSE: Individuals with health conditions often use online patient forums to share their experiences. These patient data are freely available and have rarely been used in patient-reported outcomes (PRO) research. Web scraping, the automated identification and coding of webpage data, can be employed to collect patient experiences for PRO research. The objective of this study was to assess the feasibility of using web scraping to support the development of a new PRO measure for breast implant illness (BII). METHODS: Nine publicly available BII-specific web forums were chosen post-consultation with two prominent BII advocacy leaders. The Python Selenium and Pandas packages were used to automate extraction of de-identified text from the individual posts/comments into a spreadsheet. Data were coded using a line-by-line approach and constant comparison was used to create top-level domains and sub-domains. RESULTS: 6362 unique codes were identified and organized into four top-level domains of information needs, symptom experiences, life impact of BII, and care experiences. Information needs of women included seeking/sharing information pre-breast implant surgery, post-breast implant surgery, while contemplating explant surgery, and post-explant surgery. Symptoms commonly described by women included fatigue, brain fog, and musculoskeletal symptoms. Many comments described BII's impact on daily activities and psychosocial wellbeing. Lastly, some comments described negative care experiences and experiences related to advocating for themselves to providers. CONCLUSION: This proof-of-concept study demonstrated the feasibility of employing web scraping as a cost-effective, efficient method to understand the experiences of women with BII. These data will be used to inform the development of a BII-specific PROM.

The Use of Unlisted Billing Codes for Microsurgical Breast Reconstruction and Implications for Code Consolidation.

BACKGROUND: Private insurers have considered consolidating the billing codes presently available for microvascular breast reconstruction. There is a need to understand how these different codes are currently distributed and used to help inform how coding consolidation may impact patients and providers. METHODS: Using the Massachusetts All-Payer Claims Database between 2016 and 2020, patients who underwent microsurgical breast reconstruction following mastectomy for cancer-related indications were identified. Multivariable logistic regression was used to test whether an S2068 claim was associated with insurance type and median household income by patient ZIP code. The ratio of S2068 to CPT19364 claims for privately insured patients was calculated for providers practicing in each county. Total payments for professional fees were compared between billing codes. RESULTS: There were 272 claims for S2068 and 209 claims for CPT19364. An S2068 claim was associated with age < 45 years (OR: 1.89, 95% CI: 1.11-3.20, p = 0.019), more affluent ZIP codes (OR: 1.11, 95% CI: 1.03-1.19, p = 0.004), and private insurance (OR: 16.13, 95% CI: 7.81-33.33, p < 0.001). Median total payments from private insurers were 101% higher for S2068 than for CPT19364. In all but two counties (Worcester and Hampshire), the S-code was used more frequently than CPT19364 for their privately insured patients. CONCLUSION: Coding practices for microsurgical breast reconstruction lacked uniformity in Massachusetts, and payments differed greatly between S2068 and CPT19364. Patients from more affluent towns were more likely to have S-code claims. Coding consolidation could impact access, as the majority of providers in Massachusetts might need to adapt their practices if the S-code were discontinued.

Further psychometric validation and test-retest reproducibility of the WOUND-Q.

WOUND-Q is a condition-specific patient-reported outcome measure developed for all types of chronic wounds, located anywhere on the body. To establish reliability and validity of a patient-reported outcome measure, multiple pieces of evidence are required. The purpose of this study was to examine the measurement properties of 9 of the 13 WOUND-Q scales and perform a test-retest reproducibility study in an international sample. In August 2022, we invited members of an international online community (Prolific.com) with any type of chronic wound to complete a survey containing the WOUND-Q scales, the Wound-QoL and EQ-5D. A test-retest survey was performed 7 days after the first survey. It was possible to examine the reliability and validity of eight of the nine WOUND-Q scales by Rasch Measurement Theory (RMT). To examine test-retest reproducibility intraclass correlation coefficients (ICCs), the standard error of the measurement and the smallest detectable change were calculated. In total, 421 patients from 22 different countries with 11 different types of chronic wounds took part in this study. Our analyses provided further evidence of the reliability and validity of the scales measuring wound characteristics (assessment, drainage, smell), health-related quality of life (life impact, psychological, sleep, social) and wound treatment (dressing).

Towards Patient-centered Decision-making in Breast Cancer Surgery: Machine Learning to Predict Individual Patient-reported Outcomes at 1-year Follow-up.

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.

Surgeon-reported Factors Influencing Adoption of Quality Standards for Goal-concordant Care in Patients With Advanced Cancer: A Qualitative Study.

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.

The Impact of Psychiatric Diagnoses on Patient-reported Satisfaction and Quality of Life in Postmastectomy Breast Reconstruction.

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 (ß: -7.29; 95% confidence interval: -8.67, -5.91), and sexual well-being (ß: -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.

Enhanced Surgical Decision-Making Tools in Breast Cancer: Predicting 2-Year Postoperative Physical, Sexual, and Psychosocial Well-Being following Mastectomy and Breast Reconstruction (INSPiRED 004).

BACKGROUND: We sought to predict clinically meaningful changes in physical, sexual, and psychosocial well-being for women undergoing cancer-related mastectomy and breast reconstruction 2 years after surgery using machine learning (ML) algorithms trained on clinical and patient-reported outcomes data. PATIENTS AND METHODS: We used data from women undergoing mastectomy and reconstruction at 11 study sites in North America to develop three distinct ML models. We used data of ten sites to predict clinically meaningful improvement or worsening by comparing pre-surgical scores with 2 year follow-up data measured by validated Breast-Q domains. We employed ten-fold cross-validation to train and test the algorithms, and then externally validated them using the 11th site's data. We considered area-under-the-receiver-operating-characteristics-curve (AUC) as the primary metric to evaluate performance. RESULTS: Overall, between 1454 and 1538 patients completed 2 year follow-up with data for physical, sexual, and psychosocial well-being. In the hold-out validation set, our ML algorithms were able to predict clinically significant changes in physical well-being (chest and upper body) (worsened: AUC range 0.69-0.70; improved: AUC range 0.81-0.82), sexual well-being (worsened: AUC range 0.76-0.77; improved: AUC range 0.74-0.76), and psychosocial well-being (worsened: AUC range 0.64-0.66; improved: AUC range 0.66-0.66). Baseline patient-reported outcome (PRO) variables showed the largest influence on model predictions. CONCLUSIONS: Machine learning can predict long-term individual PROs of patients undergoing postmastectomy breast reconstruction with acceptable accuracy. This may better help patients and clinicians make informed decisions regarding expected long-term effect of treatment, facilitate patient-centered care, and ultimately improve postoperative health-related quality of life.

Interpreting the BREAST-Q for Breast-Conserving Therapy: Minimal Important Differences and Clinical Reference Values.

BACKGROUND: The BREAST-Q is an important tool for evaluating patient satisfaction and quality of life in breast-conserving therapy (BCT) patients, but its clinical utility is limited by the lack of guidance on score interpretation. This study determines reference values and the minimal important difference (MID) for the BREAST-Q BCT module. METHODS: A retrospective review of BCT patients at Memorial Sloan Kettering Cancer Center from January 2011 to December 2021 was performed. Descriptive statistics were used to summarize median BREAST-Q scores. Distribution-based analyses estimated MIDs based on 0.2 standard deviation of baseline BREAST-Q scores and 0.2 standardized response mean of the difference between baseline and 1-year postoperative BREAST-Q scores. MIDs for different clinical groupings based on body mass index, radiation, and reexcision also were estimated. RESULTS: Overall, 8060 patients were included for determining reference values, and 5673 patients were included for estimating MIDs. Median BREAST-Q scores trended upwards and stabilized by 2 years after surgery for all domains except Physical Well-Being of the Chest, which decreased and stabilized by 2 years. A score interpretation tool, the Real-Time Engagement and Communication Tool, was created based on 25th percentile, median, and 75th percentile scores trajectories. All MID estimates ranged from 3 to 5 points; 4 points was determined to be appropriate for use in clinical practice and research. CONCLUSIONS: Reference values and MIDs are crucial to BREAST-Q score interpretation, which can lead to improved clinical evaluation and decision making and improved research methodology. Future research should validate this study's findings in different patient cohorts.

Moving towards patient-reported outcomes in routine clinical practice: implementation lessons from the BREAST-Q.

PURPOSE: Longitudinal, routine utilization of patient-reported outcome measures (PROMs) in clinical care has been challenging. The purpose of this study is to describe a quality improvement initiative to improve patient engagement with the BREAST-Q, a gold-standard PROM for breast reconstruction. METHODS: In 2011, we implemented the BREAST-Q as part of routine care. In 2018, we began a quality improvement initiative to increase BREAST-Q patient participation. The BREAST-Q was administered at every clinic visit via an institutional patient portal or an in-clinic tablet; digital dashboard technologies were used to improve workflow integration, real-time accountability, and immediate data availability at clinic visits. High clinical staff engagement was encouraged by assigning "BREAST-Q Champions." BREAST-Q completion data and patient characteristics were examined to understand non-response to the assessment. RESULTS: Following quality improvement, the average annual BREAST-Q completion rate increased from 42.8% in 2011-2017 to 87.6% in 2019, the last full year of our study period. High completion rates were maintained January-July 2020; however, a significantly larger proportion of BREAST-Qs were completed at home in 2020 versus the same period in 2019 (49.7 vs. 38.8%, p < 0.001), potentially due to the COVID-19 pandemic. Compared with non-responders, responders were younger (49.7 vs. 52.2 years, p < 0.001), more likely to be white (76.9 vs. 73.6%, p < 0.001), and had private insurance (79.4 vs. 69.8%, p < 0.001). CONCLUSION: Our quality improvement initiative successfully increased routine completion of the BREAST-Q. Similar implementation techniques may prove beneficial at other institutions interested in incorporating PROMs into routine care.

How to make PROMs work: qualitative insights from leaders at United States hospitals with successful PROMs programs.

PURPOSE: Elucidate facilitators, barriers, and key lessons learned regarding the implementation of system-wide clinical patient-reported outcome measure (PROM) programs among United States (US) healthcare leaders. METHODS: We conducted semi-structured interviews with 35 US healthcare leaders, including chief-level executives, data directors, PROM directors, and department chairs involved in PROM implementation across seven diverse healthcare systems from February to June 2020. Transcripts were coded, evaluated for qualitative themes, and categorized according to the consolidated framework for implementation research (CFIR). RESULTS: According to US hospital leaders with experience in existing clinical PROM programs, there are facilitators and barriers to implementation success in each CFIR domain. Allowing clinicians to select PROM measures and ensuring a user-friendly data platform (intervention); adapting data collection to patient home environments (outer setting); informing clinicians of the multi-faceted use of PROM data for research, clinical care, and business (inner setting); implementing PROM education earlier into clinician training (characteristics of individuals); and establishing specialty-agnostic PROM implementation teams (process) were among key facilitators to implementation success. CONCLUSION: Leaders of geographically and clinically diverse PROM programs in the US identify common themes that facilitate successful implementation. Drivers of success depend on factors within and outside the clinical environment. These findings may serve to guide both establishing new PROM programs and refining existing PROM programs.

Best Practices for FACE-Q Aesthetics Research: A Systematic Review of Study Methodology.

BACKGROUND: The FACE-Q Aesthetics module is a validated patient-reported outcome measure (PROM) that evaluates perspectives on facial aesthetic treatments. Improper administration and poor study methodology can compromise the validity and interpretation of this PROM. OBJECTIVES: This systematic review sought to evaluate the administration and scoring of the FACE-Q Aesthetics scales within the literature. METHODS: A search of Ovid Medline, Embase, Cochrane, and Web of Science was performed on December 20, 2022, with the assistance of a health-research librarian (CRD42022383676). Studies that examined facial aesthetic interventions using the FACE-Q Aesthetics module as a primary or secondary outcome measure were included for analysis. RESULTS: There were 114 studies included. The Face Overall (n = 52, 45.6%), Psychological (n = 45, 39.4%), and Social (n = 43, 37.7%) scales were most frequently reported. Errors in FACE-Q administration were identified in 30 (26.3%) studies. The most common error was the presentation of raw ordinal scores rather than the converted Q score (n = 23). Most studies reported a time horizon for their primary analysis (n = 76, 66.7%); however, only 4 studies provided a rationale for this selection. Sample size calculations for the primary outcome were rarely performed (n = 9, 7.9%). CONCLUSIONS: There continues to be limitations in PROM administration and the quality of articles that report FACE-Q Aesthetic scale data. The authors suggest that future investigators using the FACE-Q refer to the User's Guide regarding administration and scoring of this scale, report a rationale for the study time horizon, and provide an a priori sample size calculation for the primary outcome of interest.

Validation of the Dutch Version of the BODY-Q Measuring Appearance, Health-Related Quality of Life, and Experience of Healthcare in Patients Undergoing Bariatric and Body Contouring Surgery.

BACKGROUND: The BODY-Q is a patient-reported outcome measure developed for use in bariatric and body contouring surgery. OBJECTIVES: The objective of this study was to examine the validity and reliability of the Dutch version of the BODY-Q. METHODS: The BODY-Q consists of 163 items in 21 independently functioning scales that measure appearance, health-related quality of life, and experience of care. The data used to validate the Dutch BODY-Q were provided by 2 prospective multicenter cohort studies across 3 hospitals in the Netherlands. The BODY-Q was administered before and after surgery at 3 or 4 months and 12 months. Rasch measurement theory (RMT) analysis was used to evaluate the BODY-Q for targeting, category threshold order, Rasch model fit, Person Separation Index, and differential item functioning by language (original English data vs Dutch data). RESULTS: Data were collected between January 2016 and May 2019. The study included 876 participants, who provided 1614 assessments. Validity was supported by 3 RMT findings: most scales showed good targeting, 160 out of 163 items (98.2%) evidenced ordered thresholds, and 142 out of 163 items (87.1%) fitted the RMT model. Reliability was high with Person Separation Index values >0.70 for 19 out of 21 scales. There was negligible influence of differential item functioning by language on person item locations and the scale scoring. CONCLUSIONS: This study provides evidence for the reliability and validity of the Dutch BODY-Q for use in bariatric and body contouring patients in the Netherlands. The Dutch BODY-Q can be used in (inter)national research and clinical practice.