Formative Assessment to Improve Cancer Screenings in American Indian Men: Native Patient Navigator and mHealth Texting.

Cancer screening rates among American Indian men remain low, without programs specifically designed for men. This paper describes the Community-Based Participatory Research processes and assessment of cancer screening behavior and the appropriateness of the mHealth approach for Hopi men's promotion of cancer screenings. This Community-Based Participatory Research included a partnership with H.O.P.I. (Hopi Office of Prevention and Intervention) Cancer Support Services and the Hopi Community Advisory Committee. Cellular phone usage was assessed among male participants in a wellness program utilizing text messaging. Community surveys were conducted with Hopi men (50 years of age or older). The survey revealed colorectal cancer screening rate increased from 51% in 2012 to 71% in 2018, while prostate cancer screening rate had not changed (35% in 2012 and 37% in 2018). Past cancer screening was associated with having additional cancer screening. A cellular phone was commonly used by Hopi men, but not for healthcare or wellness. Cellular phone ownership increased odds of prostate cancer screening in the unadjusted model (OR 9.00, 95% CI: 1.11-73.07), but not in the adjusted model. Cellular phones may be applied for health promotion among Hopi men, but use of cellular phones to improve cancer screening participation needs further investigation.

Impacts of Neighborhood Characteristics and Surgical Treatment Disparities on Overall Mortality in Stage I Renal Cell Carcinoma Patients.

Racial/ethnic minority groups in the United States have high renal cell carcinoma (RCC) mortality rates. This study assessed surgical treatment disparities across racial/ethnic groups and impacts of neighborhood socioeconomic characteristics on surgical treatments and overall mortality. Stage I RCC patients diagnosed between 2004 and 2016 from National Cancer Database were included (n = 238,141). We assessed differences in associations between race/ethnicity and treatment patterns using logistic regression and between race/ethnicity and overall mortality using Cox regression with and without neighborhood characteristics in the regression models. When compared to non-Hispanic Whites (NHWs), American Indians/Alaska Natives and non-Hispanic Blacks (NHBs) were more likely not to receive surgical care and all racial/ethnic minority groups had significantly increased odds of undergoing radical rather than partial nephrectomy, even after adjusting for neighborhood characteristics. Including surgical treatment and neighborhood factors in the models slightly attenuated the association, but NHBs had a significantly increased risk of overall mortality. NHBs who underwent radical nephrectomy had an increased risk of mortality (HR 1.15, 95% CI: 1.08-1.23), but not for NHBs who underwent partial nephrectomy (HR 0.92, 95% CI: 0.84-1.02). Neighborhood factors were associated with surgical treatment patterns and overall mortality in both NHBs and NHWs. Neighborhood socioeconomic factors may only partly explain RCC disparities.

Racial and Ethnic Disparities in Preoperative Surgical Wait Time and Renal Cell Carcinoma Tumor Characteristics.

Racial/ethnic minority groups have a disproportionate burden of kidney cancer. The objective of this study was to assess if race/ethnicity was associated with a longer surgical wait time (SWT) and upstaging in the pre-COVID-19 pandemic time with a special focus on Hispanic Americans (HAs) and American Indian/Alaska Natives (AIs/ANs). Medical records of renal cell carcinoma (RCC) patients who underwent nephrectomy between 2010 and 2020 were retrospectively reviewed (n = 489). Patients with a prior cancer diagnosis were excluded. SWT was defined as the date of diagnostic imaging examination to date of nephrectomy. Out of a total of 363 patients included, 34.2% were HAs and 8.3% were AIs/ANs. While 49.2% of HA patients experienced a longer SWT (≥90 days), 36.1% of Non-Hispanic White (NHW) patients experienced a longer SWT. Longer SWT had no statistically significant impact on tumor characteristics. Patients with public insurance coverage had increased odds of longer SWT (OR 2.89, 95% CI: 1.53-5.45). Public insurance coverage represented 66.1% HA and 70.0% AIs/ANs compared to 56.7% in NHWs. Compared to NHWs, HAs had higher odds for longer SWT in patients with early-stage RCC (OR, 2.38; 95% CI: 1.25-4.53). HAs (OR 2.24, 95% CI: 1.07-4.66) and AIs/ANs (OR 3.79, 95% CI: 1.32-10.88) had greater odds of upstaging compared to NHWs. While a delay in surgical care for early-stage RCC is safe in a general population, it may negatively impact high-risk populations, such as HAs who have a prolonged SWT or choose active surveillance.

Objective Assessment of Spectacle Wear in Infants and Toddlers Using a Wearable Sensor.

Purpose: To assess the feasibility of using a thermal microsensor to monitor spectacle wear in infants and toddlers, to determine the inter-method reliability of two methods of estimating spectacle wear from sensor data, and to validate sensor estimates of wear. Methods: Fourteen children, 3 to <48 months of age, and one adult were provided pediatric spectacles containing their spectacle prescription. A thermal microsensor attached to the spectacle headband recorded date, time, and ambient temperature every 15 minutes for 14 days. Parents were asked for daily spectacle wear reports, and the adult recorded wear using a smartphone app. Sensor data were dichotomized (wear/non-wear) using two methods: temperature threshold (TT) and human judgment (HJ). Kappa statistics assessed inter-method reliability (child data) and accuracy (adult data). Results: Data from two child participants were excluded (one because of corrupted sensor data and the other because of no parent log data). Sensor data were collected more reliably than parent wear reports. The TT and HJ analysis of child data yielded similar reliability. Adult sensor data scored using the HJ method provided more valid estimates of wear than the TT method (κ = 0.94 vs. 0.78). Conclusions: We have demonstrated that it is feasible to deduce periods of spectacle wear using a thermal data logger and that the sensor is tolerated by children. Translational Relevance: Results indicate that it is feasible to use a thermal microsensor to measure spectacle wear for use in clinical monitoring or for research on spectacle treatment in children under 4 years of age.

Differences in sleep timing and related effects between African Americans and non-Hispanic Whites.

STUDY OBJECTIVES: Prior studies have shown a morning chronotype for African Americans compared with non-Hispanic Whites, yet self-reported sleep timing is delayed in African Americans compared with Whites. METHODS: We analyzed data from the Multi-Ethnicity Study of Atherosclerosis, a multisite community-based cohort. Self-reported and actigraphic sleep timing, chronotype measured by the modified Horne-Östberg Morningness-Eveningness Questionnaire, and risk of depression measured by the Center for Epidemiologic Studies Depression scale were examined using nonparametric approaches and linear or logistic regression while comparing between African Americans and Whites and evaluating the effects of delayed sleep phase. RESULTS: In 1,401 participants, there was no difference in chronotype between African Americans and Whites. African Americans were 80% more likely to report a delayed sleep phase (defined as bedtime after midnight) on weekdays and 50% more likely on weekends than were Whites. Actigraphic data showed similar results. Actigraphic midsleep time was delayed 38 minutes on weekdays and 24 minutes on weekends in African Americans compared with Whites. Stratified analysis by chronotype showed that African Americans with a morning or intermediate chronotype had a significantly delayed sleep phase compared with Whites, but there was no difference between African Americans and Whites with an evening chronotype. Delayed sleep phase was associated with depression, but this relationship was only significant in White participants. CONCLUSIONS: African Americans had a delayed sleep phase compared with Whites that was more pronounced in individuals with a morning or intermediate chronotype. Consequences of delayed sleep phase may vary by race and ethnicity.

Association between prior use of anti-diabetic medication and breast cancer stage at diagnosis.

BACKGROUND: Knowledge regarding antidiabetic medication (ADM) use prior to breast cancer (BC) diagnosis remains limited. The objectives were to (1) evaluate if the prior use of ADM was associated with BC stage at diagnosis and (2) identify and compare patient characteristics among BC patients using different ADMs. RESEARCH DESIGN AND METHODS: Newly diagnosed female BC patients exposed to any medication during one year prior to cancer diagnosis were identified in 2008-2013 Linked Surveillance, Epidemiology, and End Results (SEER)-Medicare database. Stage at diagnosis, categorized as early and advanced, was the primary outcome. Chi-square tests were used to compare characteristics and logistic regression models were applied to examine the effect while controlling for patient's characteristics. RESULTS: A total of 1,719 female BC patients used ADM while 6,084 patients were non-ADM users. Although a higher proportion of ADM users (20.36%) were diagnosed with advanced stage compared to the non-ADM users (14.46%), the difference was not statistically significant after adjusting for the patients' characteristics. Besides, insulin users were more likely to be diagnosed with advanced stage (adjusted odds ratio 1.69; 95% CI 1.15, 2.48) compared to metformin users. CONCLUSIONS: The association between ADM use and BC diagnostic characteristics varied based on different treatments.

Development of a bariatric surgery specific risk assessment tool for perioperative myocardial infarction.

BACKGROUND: Perioperative myocardial infarction (PMI) is a feared complication after surgery. Bariatric surgery, due to its intraabdominal nature, is traditionally considered an intermediate risk procedure. However, there are limited data on MI rates and its predictors in patients undergoing bariatric surgery. OBJECTIVES: To enumerate the prevalence of PMI after bariatric surgery and develop a risk assessment tool. SETTING: Bariatric surgery centers, United States. METHODS: Patients undergoing bariatric surgery were identified from the MBSAQIP participant use file (PUF) 2016. Preoperative characteristics, which correlated with PMI were identified by multivariable regression analysis. PUF 2015 was used to validate the scoring tool developed from PUF 2016. RESULTS: We identified 172,017 patients from PUF 2016. Event rate for MI within 30 days of the operation was .03%; with a mortality rate of 17.3% in patients with a PMI. Four variables correlated with PMI on regression, including history of a previous MI (odds ratio [OR] = 8.57, confidence interval [CI] = 3.4-21.0), preoperative renal insufficiency (OR = 3.83, CI = 1.2-11.4), hyperlipidemia (OR = 2.60, CI = 1.3-5.1), and age >50 (OR = 2.15, CI = 1.1-4.2). Each predicting variable was assigned a score and event rate for MI was assessed with increasing risk score in PUF 2015; the rate increased from 9.5 per 100,000 operations with a score of 0 to 3.2 per 100 with a score of 5. CONCLUSION: The prevalence of MI after bariatric surgery is lower than other intraabdominal surgeries. However, mortality with PMI is high. This scoring tool can be used by bariatric surgeons to identify patients who will benefit from focused perioperative cardiac workup.

Cox regression analysis with missing covariates via nonparametric multiple imputation.

We consider the situation of estimating Cox regression in which some covariates are subject to missing, and there exists additional information (including observed event time, censoring indicator and fully observed covariates) which may be predictive of the missing covariates. We propose to use two working regression models: one for predicting the missing covariates and the other for predicting the missing probabilities. For each missing covariate observation, these two working models are used to define a nearest neighbor imputing set. This set is then used to non-parametrically impute covariate values for the missing observation. Upon the completion of imputation, Cox regression is performed on the multiply imputed datasets to estimate the regression coefficients. In a simulation study, we compare the nonparametric multiple imputation approach with the augmented inverse probability weighted (AIPW) method, which directly incorporates the two working models into estimation of Cox regression, and the predictive mean matching imputation (PMM) method. We show that all approaches can reduce bias due to non-ignorable missing mechanism. The proposed nonparametric imputation method is robust to mis-specification of either one of the two working models and robust to mis-specification of the link function of the two working models. In contrast, the PMM method is sensitive to misspecification of the covariates included in imputation. The AIPW method is sensitive to the selection probability. We apply the approaches to a breast cancer dataset from Surveillance, Epidemiology and End Results (SEER) Program.

A pattern-mixture model approach for handling missing continuous outcome data in longitudinal cluster randomized trials.

We extend the pattern-mixture approach to handle missing continuous outcome data in longitudinal cluster randomized trials, which randomize groups of individuals to treatment arms, rather than the individuals themselves. Individuals who drop out at the same time point are grouped into the same dropout pattern. We approach extrapolation of the pattern-mixture model by applying multilevel multiple imputation, which imputes missing values while appropriately accounting for the hierarchical data structure found in cluster randomized trials. To assess parameters of interest under various missing data assumptions, imputed values are multiplied by a sensitivity parameter, k, which increases or decreases imputed values. Using simulated data, we show that estimates of parameters of interest can vary widely under differing missing data assumptions. We conduct a sensitivity analysis using real data from a cluster randomized trial by increasing k until the treatment effect inference changes. By performing a sensitivity analysis for missing data, researchers can assess whether certain missing data assumptions are reasonable for their cluster randomized trial.

Frailty assessment in older adults using upper-extremity function: index development.

BACKGROUND: Numerous multidimensional assessment tools have been developed to measure frailty; however, the clinical feasibility of these tools is limited. We previously developed and validated an upper-extremity function (UEF) assessment method that incorporates wearable motion sensors. The purpose of the current study was to: 1) cross-sectionally validate the UEF method in a larger sample in comparison with the Fried index; 2) develop a UEF frailty index to predict frailty categories including non-frail, pre-frail, and frail based on UEF parameters and demographic information, using the Fried index as the gold standard; and 3) develop a UEF continuous score (points scores for each UEF parameter and a total frailty score) based on UEF parameters and demographic information, using the Fried index as the gold standard. METHODS: We performed a cross-sectional validation and index development study within the Banner Medical Center, Tucson, and Banner Sun Health Research Institute, Sun City, Arizona. Community-dwelling and outpatient older adults (≥60 years; n = 352; 132 non-frail, 175 pre-frail, and 45 frail based on Fried criteria) were recruited. For the UEF test, each participant performed a 20-s elbow flexion, within which they repetitively and rapidly flexed and extended their dominant elbow. Using elbow motion outcomes two UEF indexes were developed (categorical and score). The Fried index was measured as the gold standard. RESULTS: For the categorical index, speed of elbow flexion, elbow range of motion, elbow moment, number of flexion, speed variability and reduction within 20 s, as well as body mass index (BMI) were included as the pre-frailty/frailty predictor parameters. Results from 10-fold cross-validation showed receiver operator characteristic area under the curve of 0.77 ± 0.07 and 0.80 ± 0.12 for predicting Fried pre-frailty and frailty, respectively. UEF score (0.1 to 1.0) was developed using similar UEF parameters. CONCLUSIONS: We present an objective, sensor-based frailty assessment tool based on physical frailty features including slowness, weakness, exhaustion (muscle fatigue), and flexibility of upper-extremity movements. Within the current study, the method was validated cross-sectionally using the Fried index as the gold standard and the UEF categorical index and UEF frailty score were developed for research purposes and potentially for future clinical use.

The Feasibility and Time Required for Routine Health Literacy Assessment in Surgical Practice and Effect on Patient Satisfaction.

Patients with limited health literacy (HL) have higher likelihood of problems with communication and may decrease patient satisfaction. This study was performed to determine the time required for routine HL assessment and its effect on patient satisfaction. Retrospective review over four years of consecutive patients who attended a breast clinic who underwent HL assessment as part of routine care. A total of 3126 consecutive patients from 2010 to 2014. Of the 3126 patients (96.9%), 3030 of were capable of undergoing HL assessment. No patients refused assessment, but one patient was inadvertently missed [3029 of 3030 patients (99.9%)]. The average age was 45 years and 10.5 years of education. The average time required was 1:57 minutes. Only 19 per cent of patients had adequate HL. Per each 1000 patients the time decreased (2:07, 1:58, 1:47; P < 0.001). Newest Vital Sign score did not change with time (1.6, 1.8, 1.7; P = NS). Patient satisfaction ratings increased during each subsequent year of HL assessments (P = 0.002). Routine HL assessment is feasible in surgical practice. HL assessment allows for identification of patients at risk for miscommunication. Implementation of communication strategies as described on the AMA website can improve patient-clinician communication and improve patient satisfaction.

Ridle for sparse regression with mandatory covariates with application to the genetic assessment of histologic grades of breast cancer.

BACKGROUND: Many questions in statistical genomics can be formulated in terms of variable selection of candidate biological factors for modeling a trait or quantity of interest. Often, in these applications, additional covariates describing clinical, demographical or experimental effects must be included a priori as mandatory covariates while allowing the selection of a large number of candidate or optional variables. As genomic studies routinely require mandatory covariates, it is of interest to propose principled methods of variable selection that can incorporate mandatory covariates. METHODS: In this article, we propose the ridge-lasso hybrid estimator (ridle), a new penalized regression method that simultaneously estimates coefficients of mandatory covariates while allowing selection for others. The ridle provides a principled approach to mitigate effects of multicollinearity among the mandatory covariates and possible dependency between mandatory and optional variables. We provide detailed empirical and theoretical studies to evaluate our method. In addition, we develop an efficient algorithm for the ridle. Software, based on efficient Fortran code with R-language wrappers, is publicly and freely available at https://sites.google.com/site/zhongyindaye/software . RESULTS: The ridle is useful when mandatory predictors are known to be significant due to prior knowledge or must be kept for additional analysis. Both theoretical and comprehensive simulation studies have shown that the ridle to be advantageous when mandatory covariates are correlated with the irrelevant optional predictors or are highly correlated among themselves. A microarray gene expression analysis of the histologic grades of breast cancer has identified 24 genes, in which 2 genes are selected only by the ridle among current methods and found to be associated with tumor grade. CONCLUSIONS: In this article, we proposed the ridle as a principled sparse regression method for the selection of optional variables while incorporating mandatory ones. Results suggest that the ridle is advantageous when mandatory covariates are correlated with the irrelevant optional predictors or are highly correlated among themselves.

Does Self-Assessment Improve the Effectiveness of Grand Rounds Lectures in a Community-Based Teaching Hospital?

OBJECTIVE: To determine whether use of self-assessment (SA) questions affects the effectiveness of weekly didactic grand rounds presentations. DESIGN: From 26 consecutive grand rounds presentations from August 2013 to April 2014, a 52-question multiple-choice test was administered based on 2 questions from each presentation. SETTING: Community teaching institution. PARTICIPANTS: General surgery residents, students, and attending physicians. RESULTS: The test was administered to 66 participants. The mean score was 41.8%. There was no difference in test score based on experience with similar scores for junior residents, senior residents, and attending surgeons (43%, 46%, and 44%; p = 0.13). Most participants felt they would be most interested in presentations directly related to their surgical specialty. Participants, however, did not score differently on topics which were the focus of the program (40% vs. 42%; p = 0.85). Journal club presentations (39% vs. others 42%; p = 0.33) also did not affect the score. The Pearson correlation coefficient for attendance was 0.49 (p < 0.0001) demonstrated that attendance was very important. Participation in the weekly SA was significantly associated with improved score as those who participated in SA scored over 20% higher than those who did not (59% vs. 38%; p < 0.0001). Based on multiple linear regression for mean score, SA explained the variation in score more than attendance. CONCLUSIONS: The current study found that without preparation approximately 40% of material presented is retained after 10 months. Participation in weekly SA significantly improved retention of information from grand rounds presentations.

Factors associated with surgical management in an underinsured, safety net population.

BACKGROUND: Few studies include significant numbers of racial and ethnic minority patients. The current study was performed to examine factors that affect breast cancer operations in an underinsured population. METHODS: We performed a retrospective review of all breast cancer patients from January 2010 to May 2012. Patients with American Joint Committee on Cancer clinical stage 0-IIIA breast cancer underwent evaluation for type of operation: breast conservation, mastectomy alone, and reconstruction after mastectomy. RESULTS: The population included 403 patients with mean age 53 years. Twelve of the 50 patients (24%) diagnosed at stage IIIB presented with synchronous metastatic disease. Of the remaining patients, only 2 presented with metastatic disease (0.6%). The initial operation was 65% breast conservation, 26% mastectomy alone, and 10% reconstruction after mastectomy. Multivariate analysis revealed that Hispanic ethnicity (odds ratio [OR], 0.38; 95% CI, 0.19-0.73; P = .004), presentation with palpable mass (OR, 0.34; 95% CI, 0.13-0.90; P = .03), preoperative chemotherapy (OR, 0.25; 95% CI, 0.10-0.62; P = .003) were associated with a lesser likelihood of mastectomy. Multivariate analysis of factors associated with reconstruction after mastectomy showed that operation with Breast surgical oncologist (OR, 18.4; 95% CI, 2.18-155.14; P < .001) and adequate health literacy (OR, 3.13; 95% CI, 0.95-10.30; P = .06) were associated with reconstruction. CONCLUSION: The majority of safety net patients can undergo breast conservation despite delayed presentation and poor use of screening mammography. Preoperative chemotherapy increased the likelihood of breast conservation. Routine systemic workup in patients with operable breast cancer is not indicated.

Time-serial Assessment of Drug Combination Interventions in a Mouse Model of Colorectal Carcinogenesis Using Optical Coherence Tomography.

Optical coherence tomography (OCT) is a high-resolution, nondestructive imaging modality that enables time-serial assessment of adenoma development in the mouse model of colorectal cancer. In this study, OCT was utilized to evaluate the effectiveness of interventions with the experimental antitumor agent α-difluoromethylornithine (DFMO) and a nonsteroidal anti-inflammatory drug sulindac during early [chemoprevention (CP)] and late stages [chemotherapy (CT)] of colon tumorigenesis. Biological endpoints for drug interventions included OCT-generated tumor number and tumor burden. Immunochistochemistry was used to evaluate biochemical endpoints [Ki-67, cleaved caspase-3, cyclooxygenase (COX)-2, ß-catenin]. K-Ras codon 12 mutations were studied with polymerase chain reaction-based technique. We demonstrated that OCT imaging significantly correlated with histological analysis of both tumor number and tumor burden for all experimental groups (P < 0.0001), but allows more accurate and full characterization of tumor number and burden growth rate because of its time-serial, nondestructive nature. DFMO alone or in combination with sulindac suppressed both the tumor number and tumor burden growth rate in the CP setting because of DFMO-mediated decrease in cell proliferation (Ki-67, P < 0.001) and K-RAS mutations frequency (P = 0.04). In the CT setting, sulindac alone and DFMO/sulindac combination were effective in reducing tumor number, but not tumor burden growth rate. A decrease in COX-2 staining in DFMO/sulindac CT groups (COX-2, P < 0.01) confirmed the treatment effect. Use of nondestructive OCT enabled repeated, quantitative evaluation of tumor number and burden, allowing changes in these parameters to be measured during CP and as a result of CT. In conclusion, OCT is a robust minimally invasive method for monitoring colorectal cancer disease and effectiveness of therapies in mouse models.

Factors which affect the use of lumpectomy and mastectomy in an underinsured, safety net hospital population.

BACKGROUND: This study was performed to evaluate variables that affect the use of mastectomy and lumpectomy in an underinsured population. METHODS: A retrospective review of all patients who underwent breast cancer operations from July 2001 to February 2011 at a safety net hospital was performed. Univariate and multivariate analyses were performed to identify variables, which were associated with the type of operation. RESULTS: Of the 412 patients, 81% of the patients were underinsured or uninsured. Most patients (58%) presented with clinical stage 2A/B disease. Mastectomy was performed in 37% of patients and lumpectomy in 63%. In multivariate analysis, clinical tumor size (P = .035) and pathologic stage (P = .003) remained associated with mastectomy, while use of preoperative chemotherapy (P = .004) and type of surgeon (P = .001) was associated with lumpectomy. CONCLUSIONS: Most patients underwent lumpectomy despite later stage at presentation. Preoperative chemotherapy was associated with increased likelihood of lumpectomy.

Factors which affect use of breast conservation and mastectomy in an underinsured Hispanic population.

BACKGROUND: Despite no difference in overall survival between breast conservation and mastectomy, significant variation exists between institutions and within populations. Less data exists about racial and ethnic minority populations. The current study was performed to evaluate variables that affect use of breast conservation and mastectomy in an underinsured Hispanic population. METHODS: A retrospective review was performed of all patients who self-identified as of Hispanic ethnicity and underwent breast cancer operations from July 2001 to February 2011 at a safety net hospital. Sociodemographic, clinical, and treatment variables were evaluated. All patients with documented contraindications to breast conservation were excluded. Univariate analysis and multivariate analysis were performed to identify variables which were associated with type of operation. RESULTS: The average age of the 219 patients included was 50 years. Most of the patients (93%) were insured with Medicaid or uninsured and 59% presented with clinical stage 2A/B cancers. Mastectomy was performed in 33% of patients and 67% had breast conservation. In adjusted multivariate analysis higher pathologic stage (p=0.01) and English speakers (p=0.03) were associated with mastectomy. By contrast, higher BMI (p=0.03) and use of preoperative chemotherapy (p=0.01) were associated with breast conservation. CONCLUSIONS: In this underinsured Hispanic population, patients with higher pathologic stage and English speaking patients were more likely to undergo mastectomy. Patients who underwent preoperative chemotherapy and who had higher BMI were more likely to undergo breast conservation.

A nonparametric multiple imputation approach for data with missing covariate values with application to colorectal adenoma data.

A nearest neighbor-based multiple imputation approach is proposed to recover missing covariate information using the predictive covariates while estimating the association between the outcome and the covariates. To conduct the imputation, two working models are fitted to define an imputing set. This approach is expected to be robust to the underlying distribution of the data. We show in simulation and demonstrate on a colorectal data set that the proposed approach can improve efficiency and reduce bias in a situation with missing at random compared to the complete case analysis and the modified inverse probability weighted method.

Health literacy assessment and patient satisfaction in surgical practice.

BACKGROUND: Individuals with limited health literacy have barriers to patient-physician communication. Problems in communication are known to contribute to malpractice litigation. Concern exists, however, about the feasibility and patient acceptance of a health literacy assessment. This study was performed to determine the feasibility of health literacy assessment in surgical practice and its effect on patient satisfaction. STUDY DESIGN: Every patient seen in a Breast Surgery Clinic during a 2-year period was asked to undergo a health literacy assessment with the Newest Vital Sign (NVS) as part of the routine history and physical examination. During the year before routine NVS assessments and during the 2-year study period, all patients were asked to rate their "overall satisfaction with clinic visit" on a 5-point scale. RESULTS: A total of 2,026 of 2,097 patients (96.6%) seen during the study were eligible for the health literacy assessment. Of those, no patients refused assessment, and only one patient was missed. Therefore, 2,025 of 2,026 eligible patients (99.9%) underwent the assessment. The average time for NVS assessment was 2:02 minutes. Only 19% of patients had adequate health literacy. Patient satisfaction ratings were slightly greater during the first year of the health literacy assessment (3.8 vs 3.7, P = .049) compared with the year prior to health literacy assessment and greater during the second year of health literacy assessment (4.1 vs 3.7, P < .0001). CONCLUSION: Routine health literacy assessment is feasible in surgical practice and results in no decrease in patient satisfaction. In fact, satisfaction was greater during the years when health literacy assessments were performed.

Effect of race and health insurance on health disparities: results from the National Health Interview Survey 2010.

Significant race-related disparities persist in the U.S. regarding access to health services. Initiatives to reduce such disparities have often focused on expanding health insurance coverage for vulnerable populations. Based on our analysis of 2010 data from the National Health Interview Survey, we found that race is a much greater factor than insurance status in accounting for disparities in access to health services. Expanding health insurance through reform initiatives such as the Patient Protection and Affordable Care Act may have relatively little impact on reducing racial and ethnic disparities in the US.