Disparities in Access, Quality, and Clinical Outcome for Latino Californians with Colon Cancer.

OBJECTIVE: To compare access, quality, and clinical outcomes between Latino and non-Latino White Californians with colon cancer. SUMMARY BACKGROUND DATA: Racial and ethnic disparities in cancer care remain understudied, particularly among patients who identify as Latino. Exploring potential mechanisms, including differential utilization of high-volume hospitals, is an essential first step to designing evidence-based policy solutions. METHODS: We identified all adults diagnosed with colon cancer between January 1, 2010 and December 31, 2020 from a statewide cancer registry linked to hospital administrative records. We compared survival, access (stage at diagnosis, receipt of surgical care, treatment at a high-volume hospital), and quality of care (receipt of adjuvant chemotherapy, adequacy of lymph node resection) between patients who identified as Latino and as non-Latino White. RESULTS: 75,543 patients met inclusion criteria, including 16,071 patients who identified as Latino (21.3%). Latino patients were significantly less likely to undergo definitive surgical resection (marginal difference [MD] -0.72 percentage points, 95% CI -1.19,-0.26), have an operation in a timely fashion (MD -3.24 percentage points, 95% CI -4.16,-2.32), or have an adequate lymphadenectomy (MD -2.85 percentage points, 95% CI -3.59,-2.12) even after adjustment for clinical and sociodemographic factors. Latino patients treated at high-volume hospitals were significantly less likely to die and more likely to meet access and quality metrics. CONCLUSIONS: Latino colon cancer patients experienced delays, segregation, and lower receipt of recommended care. Hospital-level colectomy volume appears to be strongly associated with access, quality, and survival--especially for patients who identify as Latino--suggesting that directing at-risk cancer patients to high-volume hospitals may improve health equity.

The performance status gap in immunotherapy for frail patients with advanced non-small cell lung cancer.

PURPOSE: In advanced non-small cell lung cancer (NSCLC), immune checkpoint inhibitor (ICI) monotherapy is often preferred over intensive ICI treatment for frail patients and those with poor performance status (PS). Among those with poor PS, the additional effect of frailty on treatment selection and mortality is unknown. METHODS: Patients in the veterans affairs national precision oncology program from 1/2019-12/2021 who received first-line ICI for advanced NSCLC were followed until death or study end 6/2022. Association of an electronic frailty index with treatment selection was examined using logistic regression stratified by PS. We also examined overall survival (OS) on intensive treatment using Cox regression stratified by PS. Intensive treatment was defined as concurrent use of platinum-doublet chemotherapy and/or dual checkpoint blockade and non-intensive as ICI monotherapy. RESULTS: Of 1547 patients receiving any ICI, 66.2% were frail, 33.8% had poor PS (≥ 2), and 25.8% were both. Frail patients received less intensive treatment than non-frail patients in both PS subgroups (Good PS: odds ratio [OR] 0.67, 95% confidence interval [CI] 0.51 - 0.88; Poor PS: OR 0.69, 95% CI 0.44 - 1.10). Among 731 patients receiving intensive treatment, frailty was associated with lower OS for those with good PS (hazard ratio [HR] 1.53, 95% CI 1.2 - 1.96), but no association was observed with poor PS (HR 1.03, 95% CI 0.67 - 1.58). CONCLUSION: Frail patients with both good and poor PS received less intensive treatment. However, frailty has a limited effect on survival among those with poor PS. These findings suggest that PS, not frailty, drives survival on intensive treatment.

Development of a 3-Step theory of suicide ontology to facilitate 3ST factor extraction from clinical progress notes.

OBJECTIVE: Suicide risk prediction algorithms at the Veterans Health Administration (VHA) do not include predictors based on the 3-Step Theory of suicide (3ST), which builds on hopelessness, psychological pain, connectedness, and capacity for suicide. These four factors are not available from structured fields in VHA electronic health records, but they are found in unstructured clinical text. An ontology and controlled vocabulary that maps psychosocial and behavioral terms to these factors does not exist. The objectives of this study were 1) to develop an ontology with a controlled vocabulary of terms that map onto classes that represent the 3ST factors as identified within electronic clinical progress notes, and 2) to determine the accuracy of automated extractions based on terms in the controlled vocabulary. METHODS: A team of four annotators did linguistic annotation of 30,000 clinical progress notes from 231 Veterans in VHA electronic health records who attempted suicide or who died by suicide for terms relating to the 3ST factors. Annotation involved manually assigning a label to words or phrases that indicated presence or absence of the factor (polarity). These words and phrases were entered into a controlled vocabulary that was then used by our computational system to tag 14 million clinical progress notes from Veterans who attempted or died by suicide after 2013. Tagged text was extracted and machine-labelled for presence or absence of the 3ST factors. Accuracy of these machine-labels was determined for 1000 randomly selected extractions for each factor against a ground truth created by our annotators. RESULTS: Linguistic annotation identified 8486 terms that related to 33 subclasses across the four factors and polarities. Precision of machine-labeled extractions ranged from 0.73 to 1.00 for most factor-polarity combinations, whereas recall was somewhat lower 0.65-0.91. CONCLUSION: The ontology that was developed consists of classes that represent each of the four 3ST factors, subclasses, relationships, and terms that map onto those classes which are stored in a controlled vocabulary (https://bioportal.bioontology.org/ontologies/THREE-ST). The use case that we present shows how scores based on clinical notes tagged for terms in the controlled vocabulary capture meaningful change in the 3ST factors during weeks preceding a suicidal event.

Need for greater post-trial support for clinical trial participants assessing high-risk, irreversible treatments.

There are increasing numbers of clinical trials assessing high-risk, irreversible treatments. Trial participants should only expect knowledge gain to society, no personal therapeutic benefit. However, participation may lead to long-term harms and prevent future therapeutic options. While some discussion has occurred around post-trial access to treatments for participants who received therapeutic benefit, there are no post-trial support requirements for those suffering long-term consequences from trial participation. Participants may be left with significant medical, psychological, social, technical or financial needs. All trials will end at some point, regardless of their success. Subsequently, they should be designed to take into account the post-trial period including the impact on the ongoing health of a participant and their post-trial needs.

Estimated Effect of Parathyroidectomy on Long-Term Kidney Function in Adults With Primary Hyperparathyroidism.

BACKGROUND: Multidisciplinary guidelines recommend parathyroidectomy to slow the progression of chronic kidney disease in patients with primary hyperparathyroidism (PHPT) and an estimated glomerular filtration rate (eGFR) less than 60 mL/min/1.73 m2. Limited data address the effect of parathyroidectomy on long-term kidney function. OBJECTIVE: To compare the incidence of a sustained decline in eGFR of at least 50% among patients with PHPT treated with parathyroidectomy versus nonoperative management. DESIGN: Target trial emulation was done using observational data from adults with PHPT, using an extended Cox model with time-varying inverse probability weighting. SETTING: Veterans Health Administration. PATIENTS: Patients with a new biochemical diagnosis of PHPT in 2000 to 2019. MEASUREMENTS: Sustained decline of at least 50% from pretreatment eGFR. RESULTS: Among 43 697 patients with PHPT (mean age, 66.8 years), 2928 (6.7%) had a decline of at least 50% in eGFR over a median follow-up of 4.9 years. The weighted cumulative incidence of eGFR decline was 5.1% at 5 years and 10.8% at 10 years in patients managed with parathyroidectomy, compared with 5.1% and 12.0%, respectively, in those managed nonoperatively. The adjusted hazard of eGFR decline did not differ between parathyroidectomy and nonoperative management (hazard ratio [HR], 0.98 [95% CI, 0.82 to 1.16]). Subgroup analyses found no heterogeneity of treatment effect based on pretreatment kidney function. Parathyroidectomy was associated with a reduced hazard of the primary outcome among patients younger than 60 years (HR, 0.75 [CI, 0.59 to 0.93]) that was not evident among those aged 60 years or older (HR, 1.08 [CI, 0.87 to 1.34]). LIMITATION: Analyses were done in a predominantly male cohort using observational data. CONCLUSION: Parathyroidectomy had no effect on long-term kidney function in older adults with PHPT. Potential benefits related to kidney function should not be the primary consideration for PHPT treatment decisions. PRIMARY FUNDING SOURCE: National Institute on Aging.

Adverse Cardiovascular Outcomes Among Older Adults With Primary Hyperparathyroidism Treated With Parathyroidectomy Versus Nonoperative Management.

OBJECTIVE: The authors sought to compare the incidence of adverse cardiovascular (CV) events in older adults with primary hyperparathyroidism (PHPT) treated with parathyroidectomy versus nonoperative management. BACKGROUND: PHPT is a common endocrine disorder that is associated with increased CV mortality, but it is not known whether parathyroidectomy reduces the incidence of adverse CV events. METHODS: The authors conducted a population-based, longitudinal cohort study of Medicare beneficiaries diagnosed with PHPT (2006-2017). Multivariable, inverse probability weighted Cox proportional hazards regression was used to determine the associations of parathyroidectomy with major adverse cardiovascular events (MACEs), CV disease-related hospitalization, and CV hospitalization-associated mortality. RESULTS: The authors identified 210,206 beneficiaries diagnosed with PHPT from 2006 to 2017. Among 63,136 (30.0%) treated with parathyroidectomy and 147,070 (70.0%) managed nonoperatively within 1 year of diagnosis, the unadjusted incidence of MACE was 10.0% [mean follow-up 59.1 (SD 35.6) months] and 11.5% [mean follow-up 54.1 (SD 34.0) months], respectively. In multivariable analysis, parathyroidectomy was associated with a lower incidence of MACE [hazard ratio (HR): 0.92; 95% confidence interval (95% CI): 0.90-0.94], CV disease-related hospitalization (HR: 0.89; 95% CI: 0.87-0.91), and CV hospitalization-associated mortality (HR: 0.76; 95% CI: 0.71-0.81) compared to nonoperative management. At 10 years, parathyroidectomy was associated with adjusted absolute risk reduction for MACE of 1.7% (95% CI: 1.3%-2.1%), for CV disease-related hospitalization of 2.5% (95% CI: 2.1%-2.9%), and for CV hospitalization-associated mortality of 1.4% (95% CI: 1.2%-1.6%). CONCLUSIONS: In this large, population-based cohort study, parathyroidectomy was associated with a lower long-term incidence of adverse CV outcomes when compared with nonoperative management for older adults with PHPT, which is relevant to surgical decision making for patients with a long life expectancy.

Using the Kitagawa Decomposition to Measure Overall-and Individual Facility Contributions to-Within-facility and Between-facility Differences: Analyzing Racial and Ethnic Wait Time Disparities in the Veterans Health Administration.

BACKGROUND: Identifying whether differences in health care disparities are due to within-facility or between-facility differences is key to disparity reductions. The Kitagawa decomposition divides the difference between 2 means into within-facility differences and between-facility differences that are measured on the same scale as the original disparity. It also enables the identification of facilities that contribute most to within-facility differences (based on facility-level disparities and the proportion of patient population served) and between-facility differences. OBJECTIVES: Illustrate the value of a 2-stage Kitagawa decomposition to partition a disparity into within-facility and between-facility differences and to measure the contribution of individual facilities to each type of difference. SUBJECTS: Veterans receiving a new outpatient consult for cardiology or orthopedic services during fiscal years 2019-2021. MEASURES: Wait time for a new-patient consult. METHODS: In stage 1, we predicted wait time for each Veteran from a multivariable model; in stage 2, we aggregated individual predictions to determine mean adjusted wait times for Hispanic, Black, and White Veterans and then decomposed differences in wait times between White Veterans and each of the other groups. RESULTS: Noticeably longer wait times were experienced by Hispanic Veterans for cardiology (2.32 d, 6.8% longer) and Black Veterans for orthopedics (3.49 d, 10.3% longer) in both cases due entirely to within-facility differences. The results for Hispanic Veterans using orthopedics illustrate how positive within-facility differences (0.57 d) can be offset by negative between-facility differences (-0.34 d), resulting in a smaller overall disparity (0.23 d). Selecting 10 facilities for interventions in orthopedics based on the largest contributions to within-in facility differences instead of the largest disparities resulted in a higher percentage of Veterans impacted (31% and 12% of Black and White Veterans, respectively, versus 9% and 10% of Black and White Veterans, respectively) and explained 21% of the overall within-facility difference versus 11%. CONCLUSIONS: The Kitagawa approach allows the identification of disparities that might otherwise be undetected. It also allows the targeting of interventions at those facilities where improvements will have the largest impact on the overall disparity.

Identifying Strategies to Reduce Low-Value Preoperative Testing for Low-Risk Procedures: a Qualitative Study of Facilities with High or Recently Improved Levels of Testing.

BACKGROUND: Healthcare agencies and perioperative professional organizations recommend avoiding preoperative screening tests for low-risk surgical procedures. However, low-value preoperative tests are still commonly ordered even for generally healthy patients and active strategies to reduce this testing have not been adequately described. OBJECTIVE: We sought to learn from hospitals with either high levels of testing or that had recently reduced use of low-value screening tests (aka "delta sites") about reasons for testing and active deimplementation strategies they used to effectively improve practice. DESIGN: Qualitative study of semi-structured telephone interviews. PARTICIPANTS: We identified facilities in the US Veterans Health Administration (VHA) with high or recently improved burden of potentially low-value preoperative testing for carpal tunnel release and cataract surgery. We recruited perioperative clinicians to participate. APPROACH: Questions focused on reasons to order preoperative screening tests for patients undergoing low-risk surgery and, more importantly, what strategies had been successfully used to reduce testing. A framework method was used to identify common improvement strategies and specific care delivery innovations. KEY RESULTS: Thirty-five perioperative clinicians (e.g., hand surgeons, ophthalmologists, anesthesiologists, primary care providers, directors of preoperative clinics, nurses) from 29 VHA facilities participated. Facilities that successfully reduced the burden of low-value testing shared many improvement strategies (e.g., building consensus among stakeholders; using evidence/norm-based education and persuasion; clarifying responsibility for ordering tests) to implement different care delivery innovations (e.g., pre-screening to decide if a preop clinic evaluation is necessary; establishing a dedicated preop clinic for low-risk procedures). CONCLUSIONS: We identified a menu of common improvement strategies and specific care delivery innovations that might be helpful for institutions trying to design their own quality improvement programs to reduce low-value preoperative testing given their unique structure, resources, and constraints.

The Influence of Rural Healthcare Systems and Communities on Surgery and Recovery: A Qualitative Study.

INTRODUCTION: 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. METHODS: 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. RESULTS: 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. CONCLUSIONS: 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.

Has the Use of Electrodiagnostic Studies for Carpal Tunnel Syndrome Changed After the 2016 American Academy of Orthopaedic Surgeons Clinical Practice Guideline?

PURPOSE: A 2016 American Academy of Orthopaedic Surgeons (AAOS) clinical practice guideline (CPG) de-emphasized the need for electrodiagnostic studies (EDS) for carpal tunnel syndrome (CTS). We tested the hypothesis that use of EDS decreased after the AAOS CPG. METHODS: Using a national administrative claims database, we measured the proportion of patients with a diagnosis of CTS who underwent EDS within 1 year after diagnosis between 2011 and 2019. Using an interrupted time series design, we defined 2 time periods (pre-CPG and post-CPG) and compared EDS usage between the periods using segmented regression analysis. We conducted a subgroup analysis of preoperative EDS usage in patients who underwent carpal tunnel release. RESULTS: Of 2,081,829 patients with CTS, 315,449 (15.2%) underwent EDS within 1 year after diagnosis. The segmented regression analysis showed a decrease in the level of EDS usage after publication of the AAOS CPG (-11.50 per 1,000 patients [95% CI, -1.47 to -0.95 per 1,000 patients]); however, the rate of EDS usage increased in the post-CPG period (+1.75 per 1,000 patients per quarter [95% CI, 0.97-2.54 per 1,000 patients per quarter]). Of 473,753 eligible patients who underwent carpal tunnel release, 139,186 (29.4%) underwent EDS within 6 months before surgery. After publication of the AAOS CPG, preoperative EDS usage decreased by -23.57 per 1,000 patients (95% CI, -37.72 to -9.42 per 1,000 patients). However, these decreasing trends in EDS usage predated the 2016 AAOS CPG. CONCLUSIONS: The overall and preoperative EDS usage for CTS has been decreasing since at least 2014, predating the 2016 AAOS CPG, reflecting the rapid implementation of evidence into practice. However, EDS usage has increased in the post-CPG period, and a considerable proportion of patients who underwent carpal tunnel release still received EDS. CLINICAL RELEVANCE: Given its high costs and disputed value, routine EDS usage should be considered for further deimplementation initiatives.

Complications and Failure to Rescue After Inpatient Pediatric Surgery.

OBJECTIVE: To describe the frequency and patterns of postoperative complications and FTR after inpatient pediatric surgical procedures and to evaluate the association between number of complications and FTR. SUMMARY AND BACKGROUND: FTR, or a postoperative death after a complication, is currently a nationally endorsed quality measure for adults. Although it is a contributing factor to variation in mortality, relatively little is known about FTR after pediatric surgery. METHODS: Cohort study of 200,554 patients within the National Surgical Quality Improvement Program-Pediatric database (2012-2016) who underwent a high (≥ 1%) or low (< 1%) mortality risk inpatient surgical procedures. Patients were stratified based on number of postoperative complications (0, 1, 2, or ≥3) and further categorized as having undergone either a low- or high-risk procedure. The association between the number of postoperative complications and FTR was evaluated with multivariable logistic regression. RESULTS: Among patients who underwent a low- (89.4%) or high-risk (10.6%) procedures, 14.0% and 12.5% had at least 1 postoperative complication, respectively. FTR rates after low- and high-risk procedures demonstrated step-wise increases as the number of complications accrued (eg, low-risk- 9.2% in patients with ≥3 complications; high-risk-36.9% in patients with ≥ 3 complications). Relative to patients who had no complications, there was a dose-response relationship between mortality and the number of complications after low-risk [1 complication - odds ratio (OR) 3.34 (95% CI 2.62-4.27); 2 - OR 10.15 (95% CI 7.40-13.92); ≥3-27.48 (95% CI 19.06-39.62)] and high-risk operations [1 - OR 3.29 (2.61-4.16); 2-7.24 (5.14-10.19); ≥3-20.73 (12.62-34.04)]. CONCLUSIONS: There is a dose-response relationship between the number of postoperative complications after inpatient surgery and FTR, ever after common, "minor" surgical procedures. These findings suggest FTR may be a potential quality measure for pediatric surgical care.

Best practices for analyzing imputed genotypes from low-pass sequencing in dogs.

Although DNA array-based approaches for genome-wide association studies (GWAS) permit the collection of thousands of low-cost genotypes, it is often at the expense of resolution and completeness, as SNP chip technologies are ultimately limited by SNPs chosen during array development. An alternative low-cost approach is low-pass whole genome sequencing (WGS) followed by imputation. Rather than relying on high levels of genotype confidence at a set of select loci, low-pass WGS and imputation rely on the combined information from millions of randomly sampled low-confidence genotypes. To investigate low-pass WGS and imputation in the dog, we assessed accuracy and performance by downsampling 97 high-coverage (> 15×) WGS datasets from 51 different breeds to approximately 1× coverage, simulating low-pass WGS. Using a reference panel of 676 dogs from 91 breeds, genotypes were imputed from the downsampled data and compared to a truth set of genotypes generated from high-coverage WGS. Using our truth set, we optimized a variant quality filtering strategy that retained approximately 80% of 14 M imputed sites and lowered the imputation error rate from 3.0% to 1.5%. Seven million sites remained with a MAF > 5% and an average imputation quality score of 0.95. Finally, we simulated the impact of imputation errors on outcomes for case-control GWAS, where small effect sizes were most impacted and medium-to-large effect sizes were minorly impacted. These analyses provide best practice guidelines for study design and data post-processing of low-pass WGS-imputed genotypes in dogs.

Comparing Postoperative Readmission Rates Between Veterans Receiving Total Knee Arthroplasty in the Veterans Health Administration Versus Community Care.

BACKGROUND: There are growing concerns that Veterans' increased use of Veterans Health Administration (VA)-purchased care in the community may lead to lower quality of care. OBJECTIVE: We compared rates of hospital readmissions following elective total knee arthroplasties (TKAs) that were either performed in VA or purchased by VA through community care (CC) at both the national and facility levels. METHODS: Three-year cohort study using VA and CC administrative data from the VA's Corporate Data Warehouse (October 1, 2016-September 30, 2019). We obtained Medicare data to capture readmissions that were paid by Medicare. We used the Centers for Medicare and Medicaid Services (CMS) methods to identify unplanned, 30-day, all-cause readmissions. A secondary outcome, TKA-related readmissions, identified readmissions resulting from complications of the index surgery. We ran mixed-effects logistic regression models to compare the risk-adjusted odds of all-cause and TKA-related readmissions between TKAs performed in VA versus CC, adjusting for patients' sociodemographic and clinical characteristics. PRINCIPAL FINDINGS: Nationally, the odds of experiencing an all-cause or TKA-related readmission were significantly lower for TKAs performed in VA versus CC (eg, the odds of experiencing an all-cause readmission in VA were 35% of those in CC. At the facility level, most VA facilities performed similarly to their corresponding CC providers, although there were 3 VA facilities that performed worse than their corresponding CC providers. CONCLUSIONS: Given VA's history in providing high-quality surgical care to Veterans, it is important to closely monitor and track whether the shift to CC for surgical care will impact quality in both settings over time.

Advancing Pharmacological Treatments for Opioid Use Disorder (ADaPT-OUD): an Implementation Trial in Eight Veterans Health Administration Facilities.

BACKGROUND: Identifying effective strategies to improve access to medication treatments for opioid use disorder (MOUD) is imperative. Within the Veterans Health Administration (VHA), provision of MOUD varies significantly, requiring development and testing of implementation strategies that target facilities with low provision of MOUD. OBJECTIVE: Determine the effectiveness of external facilitation in increasing the provision of MOUD among VHA facilities with low baseline provision of MOUD compared to matched controls. DESIGN: Pre-post, block randomized study designed to compare facility-level outcomes in a stratified sample of eligible facilities. Four blocks (two intervention facilities in each) were defined by median splits of both the ratio of patients with OUD receiving MOUD and number of patients with OUD not currently receiving MOUD (i.e., number of actionable patients). Intervention facilities participated in a 12-month implementation intervention. PARTICIPANTS: VHA facilities in the lowest quartile of MOUD provision (35 facilities), eight of which were randomly assigned to participate in the intervention (two per block) with twenty-seven serving as matched controls by block. INTERVENTION: External facilitation included assessment of local barriers/facilitators, formation of a local implementation team, a site visit for action planning and training/education, cross-facility quarterly calls, monthly coaching calls, and consultation. MAIN MEASURES: Pre- to post-change in the facility-level ratio of patients with an OUD diagnosis receiving MOUD compared to control facilities. KEY RESULTS: Intervention facilities significantly increased the ratio of patients with OUD receiving MOUD from an average of 18% at baseline to 30% 1 year later, with an absolute difference of 12% (95% confidence interval [CI]: 6.6%, 17.0%). The difference in differences between intervention and control facilities was 3.0% (95% CI: - 0.2%. 6.7%). The impact of the intervention varied by block, with smaller, less complex facilities more likely to outperform matched controls. CONCLUSIONS: Intensive external facilitation improved the adoption of MOUD in most low-performing facilities and may enhance adoption beyond other interventions less tailored to individual facility contexts.

Patient Perspectives on Recovery and Information Needs After Surgery: A Qualitative Study of Veterans.

INTRODUCTION: Little is known about patients' postoperative emotional and social functioning and preferences for recovery settings. This qualitative study explores patients' perspectives on factors influencing postoperative recovery, including the proportion of time recovering at home (home time) and unmet information needs. METHODS: Semistructured interviews were conducted between September and December 2020 with veteran patients aged 65 y or older who underwent surgery at a single hospital. A purposeful sampling strategy was used to identify patients with a broad representation of major operations and various amounts of home time. One-hour interviews were audio-recorded, transcribed verbatim, and anonymized for analysis. A rigorous team-based in-depth thematic analysis was performed. Validation techniques to enhance the quality and credibility of the study included triangulation, independent coding, and search for disconfirming evidence. RESULTS: Twelve patients were interviewed (11 [91.7%] males; mean (standard deviation) age, 72.3 [4.8] y). Five factors that influenced the recovery process emerged: (1) professional support services, (2) informal caregiver support, (3) environment for recovery, (4) individual traits, and (5) physical and functional impairments. The analysis also elucidated four unmet information needs regarding recovery: (1) personalized and detailed information, (2) anticipated recovery time, (3) possible complications, and (4) comprehensive information about discharge location options. CONCLUSIONS: The study demonstrated that patients recovering from surgery require wide-ranging levels of support to meet their unique needs and preferences. Patients value easy-to-understand and personalized information about recovery from providers. These findings may be helpful to develop strategies that better support patients in their postoperative recovery and post-acute care transition pathways.

Is Low-value Testing Before Low-risk Hand Surgery Associated With Increased Downstream Healthcare Use and Reimbursements? A National Claims Database Analysis.

BACKGROUND: Minor hand procedures can often be completed in the office without any laboratory testing. Preoperative screening tests before minor hand procedures are unnecessary and considered low value because they can lead to preventable invasive confirmatory tests and/or procedures. Prior studies have shown that low-value testing before low-risk hand surgery is still common, yet little is known about their downstream effects and associated costs. Assessing these downstream events can elucidate the consequences of obtaining a low-value test and inform context-specific interventions to reduce their use. QUESTIONS/PURPOSES: (1) Among healthy adults undergoing low-risk hand surgery, are patients who receive a preoperative low-value test more likely to have subsequent diagnostic tests and procedures than those who do not receive a low-value test? (2) What is the increased 90-day reimbursement associated with subsequent diagnostic tests and procedures in patients who received a low-value test compared with those who did not? METHODS: In this retrospective, comparative study using a large national database, we queried a large health insurance provider's administrative claims data to identify adult patients undergoing low-risk hand surgery (carpal tunnel release, trigger finger release, Dupuytren fasciectomy, de Quervain release, thumb carpometacarpal arthroplasty, wrist ganglion cyst, or mass excision) between 2011 and 2017. This database was selected for its ability to track patient claims longitudinally with direct provision of reimbursement data in a large, geographically diverse patient population. Patients who received at least one preoperative low-value test, including complete blood count, basic metabolic panel, electrocardiogram, chest radiography, pulmonary function test, and urinalysis within the 30-day preoperative period, were matched with propensity scores to those who did not. Among the 73,112 patients who met our inclusion criteria (mean age 57 ± 14 years; 68% [49,847] were women), 27% (19,453) received at least one preoperative low-value test and were propensity score-matched to those who did not. Multivariable regression analyses were performed to assess the frequency and reimbursements of subsequent diagnostic tests and procedures in the 90 days after surgery while controlling for potentially confounding variables such as age, sex, comorbidities, and baseline healthcare use. RESULTS: When controlling for covariates such as age, sex, comorbidities, and baseline healthcare use, patients in the low-value test cohort had an adjusted odds ratio of 1.57 (95% confidence interval [CI] 1.50 to 1.64; p < 0.001) for a postoperative use event (a downstream diagnostic test or procedure) compared with those who did not have a low-value test. The median (IQR) per-patient reimbursements associated with downstream utilization events in patients who received a low-value test was USD 231.97 (64.37 to 1138.84), and those who did not receive a low-value test had a median of USD 191.52 (57.1 to 899.42) (adjusted difference when controlling for covariates: USD 217.27 per patient [95% CI 59.51 to 375.03]; p = 0.007). After adjusting for inflation, total additional reimbursements for patients in the low-value test cohort increased annually. CONCLUSION: Low-value tests generate downstream tests and procedures that are known to provide minimal benefit to healthy patients and may expose patients to potential harms associated with subsequent, unnecessary invasive tests and procedures in response to false positives. Nevertheless, low-value testing remains common and the rising trend in low-value test-associated spending demonstrates the need for multicomponent interventions that target change at both the payer and health system level. Such interventions should disincentivize the initial low-value test and the cascade that may follow. Future work to identify the barriers and facilitators to reduce low-value testing in hand surgery can inform the development and revision of deimplementation strategies. LEVEL OF EVIDENCE: Level III, therapeutic study.

Do Proposed Quality Measures for Carpal Tunnel Release Reveal Important Quality Gaps and Are They Reliable?

BACKGROUND: The American Academy of Orthopaedic Surgeons recently proposed quality measures for the initial surgical treatment of carpal tunnel syndrome (CTS). One measure addressed avoidance of adjunctive surgical procedures during carpal tunnel release; and a second measure addressed avoidance of routine use of clinic-based occupational and/or physical therapy (OT/PT) after carpal tunnel release. However, for quality measures to serve their intended purposes, they must be tested in real-world data to establish that gaps in quality exist and that the measures yield reliable performance information. QUESTIONS/PURPOSES: (1) Is there an important quality gap in clinical practice for avoidance of adjunctive surgical procedures during carpal tunnel release? (2) Is there an important quality gap in avoiding routine use of clinic-based occupational and/or physical therapy after carpal tunnel release? (3) Do these two quality measures have adequate beta-binomial signal-to-noise ratio (SNR) and split-sample reliability (SSR)? METHODS: This retrospective comparative study used a large national private insurance claims database, the 2018 Optum Clinformatics® Data Mart. Ideally, healthcare quality measures are tested within data reflective of the providers and payors to which the measures will be applied. We previously tested these measures in a large public healthcare system and a single academic medical center. In this study, we sought to test the measures in the broader context of patients and providers using private insurance. For both measures, we included the first carpal tunnel release from 28,083 patients performed by one of 7236 surgeons, irrespective of surgical specialty (including, orthopaedic, plastic, neuro-, and general surgery). To calculate surgeon-level descriptive and reliability statistics, analyses were focused on the 66% (18,622 of 28,083) of patients who received their procedure from one of the 24% (1740 of 7236) of surgeons with at least five carpal tunnel releases in the database. No other inclusion/exclusion criteria were applied. To determine whether the measures reveal important gaps in treatment quality (avoidance of adjunctive procedures and routine therapy), we calculated descriptive statistics (median and interquartile range) of the performance distribution stratified by surgeon-level annual volume of carpal tunnel releases in the database (5+, 10+, 15+, 20+, 25+, and 30+). Like the Centers for Medicare & Medicaid Services (CMS), we considered a measure "topped out" if median performance was greater than 95%, meaning the opportunity for further quality improvement is low. We calculated the surgeon-level beta-binomial SNR and SSR for each measure, each stratified by the number of carpal tunnel releases performed by each surgeon in the database. These are standard measures of reliability in health care quality measurement science. The SNR quantifies the proportion of variance that is between rather than within surgeons, and the SSR is the correlation of performance scores when each surgeons' patients are split into two random samples and then corrected for sample size. RESULTS: We found that 2% (308 of 18,622) of carpal tunnel releases involved an adjunctive procedure. The results showed that avoidance of adjunctive surgical procedures during carpal tunnel release had a median (IQR) performance of 100% (100% to 100%) at all case volumes. Only 8% (144 of 1740) of surgeons with at least five cases in the database had less than 100% performance, and only 5% (84 of 1740) had less than 90% performance. This means adjunctive procedures were rarely performed and an important quality gap does not exist based on the CMS criterion. Regarding the avoidance of routine therapy, there was a larger quality gap: For surgeons with at least five cases in the database, median performance was 89% (75% to 100%), and 25% (435 of 1740) of these surgeons had less than 75% performance. This signifies that the measure is not topped out and may reveal an important quality gap. Most patients receiving clinic-based OT/PT had only one visit in the 6 weeks after surgery. Median (IQR) SNRs of the first measure, which addressed avoidance of adjunctive surgical procedures, and the second measure, which addresses avoidance of routine use clinic-based OT/PT, were 1.00 (1.00 to 1.00) and 0.86 (0.67 to 1.00), respectively. The SSR for these measures were 0.87 (95% CI 0.85 to 0.88) and 0.75 (95% CI 0.73 to 0.77), respectively. All of these reliability statistics exceed National Quality Forum's emerging minimum standard of 0.60. CONCLUSION: The first measure, the avoidance of adjunctive surgical procedures during carpal tunnel release, lacked an important quality gap suggesting it is unlikely to be useful in driving improvements. The second measure, avoidance of routine use of clinic-based OT/PT, revealed a larger quality gap and had very good reliability, suggesting it may be useful for quality monitoring and improvement purposes. CLINICAL RELEVANCE: As healthcare systems and payors use the second measure, avoidance of routine use of clinic-based OT/PT, to encourage adherence to clinical practice guidelines (such as provider profiling, public reporting, and payment policies), it will be critically important to consider what proportion of patients receiving OT/PT should be considered routine practice and therefore inconsistent with guidelines. The value or potential harm of this measure depends on this judgement.

A Tool to Estimate Risk of 30-day Mortality and Complications After Hip Fracture Surgery: Accurate Enough for Some but Not All Purposes? A Study From the ACS-NSQIP Database.

BACKGROUND: Surgical repair of hip fracture carries substantial short-term risks of mortality and complications. The risk-reward calculus for most patients with hip fractures favors surgical repair. However, some patients have low prefracture functioning, frailty, and/or very high risk of postoperative mortality, making the choice between surgical and nonsurgical management more difficult. The importance of high-quality informed consent and shared decision-making for frail patients with hip fracture has recently been demonstrated. A tool to accurately estimate patient-specific risks of surgery could improve these processes. QUESTIONS/PURPOSES: With this study, we sought (1) to develop, validate, and estimate the overall accuracy (C-index) of risk prediction models for 30-day mortality and complications after hip fracture surgery; (2) to evaluate the accuracy (sensitivity, specificity, and false discovery rates) of risk prediction thresholds for identifying very high-risk patients; and (3) to implement the models in an accessible web calculator. METHODS: In this comparative study, preoperative demographics, comorbidities, and preoperatively known operative variables were extracted for all 82,168 patients aged 18 years and older undergoing surgery for hip fracture in the American College of Surgeons National Surgical Quality Improvement Program (ACS-NSQIP) between 2011 and 2017. Eighty-two percent (66,994 of 82,168 ) of patients were at least 70 years old, 21% (17,007 of 82,168 ) were at least 90 years old, 70% (57,260 of 82,168 ) were female, and 79% (65,301 of 82,168 ) were White. A total of 5% (4260 of 82,168) of patients died within 30 days of surgery, and 8% (6786 of 82,168) experienced a major complication. The ACS-NSQIP database was chosen for its clinically abstracted and reliable data from more than 600 hospitals on important surgical outcomes, as well as rich characterization of preoperative demographic and clinical predictors for demographically diverse patients. Using all the preoperative variables in the ACS-NSQIP dataset, least absolute shrinkage and selection operator (LASSO) logistic regression, a type of machine learning that selects variables to optimize accuracy and parsimony, was used to develop and validate models to predict two primary outcomes: 30-day postoperative mortality and any 30-day major complications. Major complications were defined by the occurrence of ACS-NSQIP complications including: on a ventilator longer than 48 hours, intraoperative or postoperative unplanned intubation, septic shock, deep incisional surgical site infection (SSI), organ/space SSI, wound disruption, sepsis, intraoperative or postoperative myocardial infarction, intraoperative or postoperative cardiac arrest requiring cardiopulmonary resuscitation, acute renal failure needing dialysis, pulmonary embolism, stroke/cerebral vascular accident, and return to the operating room. Secondary outcomes were six clusters of complications recently developed and increasingly used for the development of surgical risk models, namely: (1) pulmonary complications, (2) infectious complications, (3) cardiac events, (4) renal complications, (5) venous thromboembolic events, and (6) neurological events. Tenfold cross-validation was used to assess overall model accuracy with C-indexes, a measure of how well models discriminate patients who experience an outcome from those who do not. Using the models, the predicted risk of outcomes for each patient were used to estimate the accuracy (sensitivity, specificity, and false discovery rates) of a wide range of predicted risk thresholds. We then implemented the prediction models into a web-accessible risk calculator. RESULTS: The 30-day mortality and major complication models had good to fair discrimination (C-indexes of 0.76 and 0.64, respectively) and good calibration throughout the range of predicted risk. Thresholds of predicted risk to identify patients at very high risk of 30-day mortality had high specificity but also high false discovery rates. For example, a 30-day mortality predicted risk threshold of 15% resulted in 97% specificity, meaning 97% of patients who lived longer than 30 days were below that risk threshold. However, this threshold had a false discovery rate of 78%, meaning 78% of patients above that threshold survived longer than 30 days and might have benefitted from surgery. The tool is available here: https://s-spire-clintools.shinyapps.io/hip_deploy/ . CONCLUSION: The models of mortality and complications we developed may be accurate enough for some uses, especially personalizing informed consent and shared decision-making with patient-specific risk estimates. However, the high false discovery rate suggests the models should not be used to restrict access to surgery for high-risk patients. Deciding which measures of accuracy to prioritize and what is "accurate enough" depends on the clinical question and use of the predictions. Discrimination and calibration are commonly used measures of overall model accuracy but may be poorly suited to certain clinical questions and applications. Clinically, overall accuracy may not be as important as knowing how accurate and useful specific values of predicted risk are for specific purposes.Level of Evidence Level III, therapeutic study.

Performance of a rule-based semi-automated method to optimize chart abstraction for surveillance imaging among patients treated for non-small cell lung cancer.

BACKGROUND: We aim to develop and test performance of a semi-automated method (computerized query combined with manual review) for chart abstraction in the identification and characterization of surveillance radiology imaging for post-treatment non-small cell lung cancer patients. METHODS: A gold standard dataset consisting of 3011 radiology reports from 361 lung cancer patients treated at the Veterans Health Administration from 2008 to 2016 was manually created by an abstractor coding image type, image indication, and image findings. Computerized queries using a text search tool were performed to code reports. The primary endpoint of query performance was evaluated by sensitivity, positive predictive value (PPV), and F1 score. The secondary endpoint of efficiency compared semi-automated abstraction time to manual abstraction time using a separate dataset and the Wilcoxon rank-sum test. RESULTS: Query for image type demonstrated the highest sensitivity of 85%, PPV 95%, and F1 score 0.90. Query for image indication demonstrated sensitivity 72%, PPV 70%, and F1 score 0.71. The image findings queries ranged from sensitivity 75-85%, PPV 23-25%, and F1 score 0.36-0.37. Semi-automated abstraction with our best performing query (image type) improved abstraction times by 68% per patient compared to manual abstraction alone (from median 21.5 min (interquartile range 16.0) to 6.9 min (interquartile range 9.5), p < 0.005). CONCLUSIONS: Semi-automated abstraction using the best performing query of image type improved abstraction efficiency while preserving data accuracy. The computerized query acts as a pre-processing tool for manual abstraction by restricting effort to relevant images. Determining image indication and findings requires the addition of manual review for a semi-automatic abstraction approach in order to ensure data accuracy.