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Table S1. Cohort Development for a Comparison of American Indians / Alaska Natives and non-Hispanic Whites with Metastatic Cancer.

American Indian/Alaska Native (AI/AN) persons experienced disproportionate mortality during the 2009 influenza A(H1N1) pandemic (1,2). Concerns of a similar trend during the coronavirus disease 2019 (COVID-19) pandemic led to the formation of a workgroup* to assess the prevalence of COVID-19 deaths in the AI/AN population. As of December 2, 2020, CDC has reported 2,689 COVID-19-associated deaths among non-Hispanic AI/AN persons in the United States.† A recent analysis found that the cumulative incidence of laboratory-confirmed COVID-19 cases among AI/AN persons was 3.5 times that among White persons (3). Among 14 participating states, the age-adjusted AI/AN COVID-19 mortality rate (55.8 deaths per 100,000; 95% confidence interval [CI] = 52.5-59.3) was 1.8 (95% CI = 1.7-2.0) times that among White persons (30.3 deaths per 100,000; 95% CI = 29.9-30.7). Although COVID-19 mortality rates increased with age among both AI/AN and White persons, the disparity was largest among those aged 20-49 years. Among persons aged 20-29 years, 30-39 years, and 40-49 years, the COVID-19 mortality rates among AI/AN were 10.5, 11.6, and 8.2 times, respectively, those among White persons. Evidence that AI/AN communities might be at increased risk for COVID-19 illness and death demonstrates the importance of documenting and understanding the reasons for these disparities while developing collaborative approaches with federal, state, municipal, and tribal agencies to minimize the impact of COVID-19 on AI/AN communities. Together, public health partners can plan for medical countermeasures and prevention activities for AI/AN communities.

Although non-Hispanic American Indian and Alaska Native (AI/AN) persons account for 0.7% of the U.S. population,* a recent analysis reported that 1.3% of coronavirus disease 2019 (COVID-19) cases reported to CDC with known race and ethnicity were among AI/AN persons (1). To assess the impact of COVID-19 among the AI/AN population, reports of laboratory-confirmed COVID-19 cases during January 22†-July 3, 2020 were analyzed. The analysis was limited to 23 states§ with >70% complete race/ethnicity information and five or more laboratory-confirmed COVID-19 cases among both AI/AN persons (alone or in combination with other races and ethnicities) and non-Hispanic white (white) persons. Among 424,899 COVID-19 cases reported by these states, 340,059 (80%) had complete race/ethnicity information; among these 340,059 cases, 9,072 (2.7%) occurred among AI/AN persons, and 138,960 (40.9%) among white persons. Among 340,059 cases with complete patient race/ethnicity data, the cumulative incidence among AI/AN persons in these 23 states was 594 per 100,000 AI/AN population (95% confidence interval [CI] = 203-1,740), compared with 169 per 100,000 white population (95% CI = 137-209) (rate ratio [RR] = 3.5; 95% CI = 1.2-10.1). AI/AN persons with COVID-19 were younger (median age = 40 years; interquartile range [IQR] = 26-56 years) than were white persons (median age = 51 years; IQR = 32-67 years). More complete case report data and timely, culturally responsive, and evidence-based public health efforts that leverage the strengths of AI/AN communities are needed to decrease COVID-19 transmission and improve patient outcomes.

With theatre motifs encompassing tragedy/comedy and a large cast of characters, Maria Edgeworth’s Belinda (1801) is a philosophical novel, a novel of ideas. Critics troubled by the novel’s two heroines fault its characterization, plot, genres, or “didacticism.” Belinda’s London social setting and the Rousseauvian subplot invite scholarship, as has Belinda in context with English colonialism; however, no one has explored fully the numerous parallels between Edgeworth’s novel and the works of Alexander Pope. In this article, I argue that Pope is more than an allusion in Belinda; he is a substantial presence. I identify important references to Pope and his poetry, and I analyze their significance in Edgeworth’s text. In many ways, Edgeworth’s Belinda is in dialogue with Pope. Exploring this dialogue illuminates Edgeworth’s novel and clarifies important critical issues.

Objective(s) To evaluate the effectiveness of National Council on Aging (NCOA) evidence based fall prevention programs that can be completed in the home setting. Data Sources We conducted searches of PEDRo, CINAHL, PubMed and Scopus using combinations of the following search terms: fall prevention, community, intervention, exercise, physical therapy, evidence based, home. Study Selection Criteria were chosen to capture all studies that included NCOA fall prevention programs that can be implemented in the home setting. Inclusion criteria identified studies from peer-reviewed journals including NCOA fall prevention programs with elements allowing for individualized training and implementation. Studies with only community based, group provision were excluded. Data Extraction For articles included in this review, the following information was extracted: type of study, methodological quality review, level of evidence, number of subjects, outcome measures used, interventions, primary positive and negative results, and setting. Data Synthesis Four NCOA evidence based fall prevention programs were identified as appropriate to be provided in the home setting: CAPABLE, FallScape, FallsTalk and the Otago Exercise Program. Data extracted from included articles demonstrated improvements with falls efficacy, reduction in the number of falls, and increased recognition of fall risk. Conclusions Falls are a concern for older adults with expensive medical care and a loss of independence for the individual. With our analysis, 4 NCOA programs can be reasonably provided in the home setting. Only one program (CAPABLE) is specifically designed to be implemented in the home setting. While there is strong evidence of the effectiveness of these programs, more work is recommended to determine the best practices for provision of home programs. This work is relevant with the COVID-19 pandemic limiting community interventions. Author(s) Disclosures The authors declare no conflicts of interest.

Context Efforts to address disparities experienced by American Indians/Alaska Natives (AI/ANs) have been hampered by a lack of accurate and timely health data. One challenge to obtaining accurate data is determining who "counts" as AI/AN in health and administrative data sets. Objective To compare the effects of definition and misclassification of AI/AN on estimates of all-cause and cause-specific mortality for AI/AN in Washington during 2015-2016. Design Secondary analysis of death certificate data from Washington State. Data were corrected for AI/AN racial misclassification through probabilistic linkage with the Northwest Tribal Registry. Counts and age-adjusted rates were calculated and compared for 6 definitions of AI/AN. Comparisons were made with the non-Hispanic white population to identify disparities. Setting Washington State. Participants AI/AN and non-Hispanic white residents of Washington State who died in 2015 and 2016. Main outcome measures Counts and age-adjusted rates for all-cause mortality and mortality from cardiovascular diseases, cancer, and unintentional injuries. Results The most conservative single-race definition of AI/AN identified 1502 AI/AN deaths in Washington State during 2015-2016. The least conservative multiple-race definition of AI/AN identified 2473 AI/AN deaths, with an age-adjusted mortality rate that was 48% higher than the most conservative definition. Correcting misclassified AI/AN records through probabilistic linkage significantly increased mortality rate estimates by 11%. Regardless of definition used, AI/AN in Washington had significantly higher all-cause mortality rates than non-Hispanic whites in the state. Conclusions Reporting single-race versus multiple-race AI/AN had the most consequential effect on mortality counts and rates. Correction of misclassified AI/AN records resulted in small but statistically significant increases in AI/AN mortality rates. Researchers and practitioners should consult with AI/AN communities on the complex issues surrounding AI/AN identity to obtain the best method for identifying AI/AN in health data sets.

Lack of access to care, funding limitations, cultural, and social barriers are challenges specific to tribal communities that have led to adverse cancer outcomes among American Indians/Alaska Natives (AI/AN). While the cancer navigator model has been shown to be effective in other underserved communities, it has not been widely implemented in Indian Country. We conducted in-depth interviews with 40 AI/AN patients at tribal clinics in Idaho and Oregon. We developed the survey instrument in partnership with community members to ensure a culturally appropriate semi-structured questionnaire. Questions explored barriers to accessing care, perceptions of the navigator program, satisfaction, and recommendations. AI/AN cancer patients reported physical, emotional, financial, and transportation barriers to care, but most did not feel there were any cultural barriers to receiving care. Navigator services most commonly used included decision making, referrals, transportation, scheduling appointments, and communication. Satisfaction with the program was high. Our study provides a template to develop a culturally appropriate survey instrument for use with an AI/AN population, which could be adapted for use with other indigenous patient populations. Although our sample was small, our qualitative analysis facilitated a deeper understanding of the barriers faced by this population and how a navigator program may best address them. The results reveal the strengths and weakness of this program, and provide baseline patient satisfaction numbers which will allow future patient navigator programs to better create evaluation benchmarks.

BACKGROUND Whether patient navigation improves outcomes for patients with comorbidities is unknown. The aims of this study were to determine the effect of comorbidities on the time to diagnostic resolution after an abnormal cancer screening test and to examine whether patient navigation improves the timeliness and likelihood of diagnostic resolution for patients with comorbidities in comparison with no navigation. METHODS A secondary analysis of comorbidity data collected by Patient Navigation Research Program sites using the Charlson Comorbidity Index (CCI) was conducted. The participants were 6,349 patients with abnormal breast, cervical, colon, or prostate cancer screening tests between 2007 and 2011. The intervention was patient navigation or usual care. The CCI data were highly skewed across projects and cancer sites, and the CCI scores were categorized as 0 (CCI score of 0 or no comorbidities identified; 76% of cases); 1 (CCI score of 1; 16% of cases), or 2 (CCI score ≥ 2; 8% of cases). Separate adjusted hazard ratios for each site and cancer type were obtained, and then they were pooled with a meta-analysis random effects methodology. RESULTS Patients with a CCI score ≥ 2 had delayed diagnostic resolution after an abnormal cancer screening test in comparison with those with no comorbidities. Patient navigation reduced delays in diagnostic resolution, with the greatest benefits seen for those with a CCI score ≥ 2. CONCLUSIONS Persons with a CCI score ≥ 2 experienced significant delays in timely diagnostic care in comparison with patients without comorbidities. Patient navigation was effective in reducing delays in diagnostic resolution among those with CCI scores > 1. Cancer 2016. © 2016 American Cancer Society.

Introduction Nationally, a greater proportion of American Indians and Alaska Natives (AI/ANs) are diagnosed with advanced-stage cancers compared with non-Hispanic whites. The reasons for observed differences in stage at diagnosis between AI/ANs and non-Hispanic whites remain unclear. Methods Medicaid, Indian Health Service Care Systems, and state cancer registry data for California, Oregon, and Washington (2001–2008, analyzed in 2014–2015) were linked to identify AI/ANs and non-Hispanic whites diagnosed with invasive breast, cervical, colorectal, lung, or prostate cancer. Logistic regression was used to estimate ORs and 95% CIs for distant disease versus local or regional disease, in AI/ANs compared with non-Hispanic white case patients. Results A similar proportion of AI/AN (31.2%) and non-Hispanic white (35.5%) patients were diagnosed with distant-stage cancer in this population (AOR=1.03, 95% CI=0.88, 1.20). No significant differences in stage at diagnosis were found for any individual cancer site. Among AI/ANs, Indian Health Service Care Systems eligibility was not associated with stage at diagnosis. Conclusions In contrast to the general population of the U.S., among Medicaid enrollees, AI/AN race is not associated with later stage at diagnosis. Cancer survival disparities associated with AI/AN race that have been observed in the broader population may be driven by factors associated with income and health insurance that are also associated with race, as income and insurance status are more homogenous within the Medicaid population than within the broader population.

As part of the Patient Navigation Research Program, we examined the effect of patient navigation versus usual care on timely diagnostic follow-up, defined as clinical management for women with cervical abnormalities within accepted time frames.Participants from four Patient Navigation Research Program centers were divided into low- and high-risk abnormality groups and analyzed separately. Low-risk participants (n = 2088) were those who enrolled with an initial Pap test finding of atypical squamous cells of undetermined significance (ASCUS) with a positive high-risk human papillomavirus (HPV) serotype, atypical glandular cells, or low-grade squamous intraepithelial lesion (LGSIL). High-risk participants were those with an initial finding of high-grade squamous intraepithelial lesion (HGSIL) (n = 229). A dichotomous outcome of timely diagnostic follow-up within 180 days was used for the low-risk abnormality group and timely diagnostic follow-up within 60 days for the high-risk group, consistent with treatment guidelines. A logistic mixed-effects regression model was used to evaluate the intervention effect using a random effect for study arm within an institution. A backward selection process was used for multivariable model building, considering the impact of each predictor on the intervention effect.Low-risk women in the patient navigation arm showed an improvement in the odds of timely diagnostic follow-up across all racial groups, but statistically significant effects were only observed in non-English-speaking Hispanics (OR 5.88, 95% CI 2.81-12.29). No effect was observed among high-risk women.These results suggest that patient navigation can improve timely diagnostic follow-up among women with low-risk cervical abnormalities, particularly in non-English-speaking Hispanic women.

The opioid epidemic has resulted in a threefold increase in drug overdose deaths in the United States during 1999-2015 (1). Whereas American Indians/Alaska Natives (AI/AN) have experienced larger increases in drug overdose mortality than have other racial/ethnic groups in the United States (2), little is known about the regional impact of opioids in tribal and urban AI/AN communities. To address this data gap, death records from the Washington State Center for Health Statistics, corrected for misclassification of AI/AN race, were examined to identify trends and disparities in drug, opioid-involved, and heroin-involved overdose mortality rates for AI/AN and non-Hispanic whites (whites) in Washington. Although AI/AN and whites had similar overdose mortality rates during 1999-2001, subsequent overdose rates among AI/AN increased at a faster rate than did those among whites. During 2013-2015, mortality rates among AI/AN were 2.7 and 4.1 times higher than rates among whites for total drug and opioid-involved overdoses and heroin-involved overdoses, respectively. Washington death certificates that were not corrected for misclassification of AI/AN race underestimated drug overdose mortality rates among AI/AN by approximately 40%. National statistics on the opioid epidemic, which report that overdose mortality rates are significantly higher among whites than among AI/AN, are not reflective of regional prevalences, disparities, and trends. Comprehensive efforts to address the opioid epidemic in AI/AN communities rely on strong partnerships between tribal governments and local, state, and federal entities. Additional measures are needed for community-based surveillance, treatment, and prevention to effectively respond to the epidemic across diverse tribal and urban AI/AN communities.

Purpose. We aimed to determine whether the association between late-stage cancer and American Indian/Alaska Native (AI/AN) race differed by enrollment in the Indian Health Service Care System (IHSCS). Methods. We used Surveillance, Epidemiology, and End Results (SEER) data linked to Medicare files to compare the odds of late-stage breast, colorectal, lung, or prostate cancer between non-Hispanic Whites (NHWs) (n=285,993) and AI/ANs with (n=581) and without (n=543) IHSCS enrollment. Results. For AI/ANs without IHSCS enrollment, the odds of late-stage disease were higher in AI/ANs compared with NHWs for breast (OR=3.17, 95%CI: 1.82–5.53) and for prostate (OR=2.59, 95%CI:1.55–4.32) cancer, but not for colorectal or lung cancers. Among AI/ANs with IHSCS enrollment, there was not a significant association between late-stage disease and AI/AN race for any of the four cancers evaluated. Conclusion. Our results suggest that enrollment in the IHSCS reduced the disparity between AI/ANs and NHWs with respect to late-stage cancer diagnoses.

BACKGROUND Patient navigation may reduce cancer disparities associated with socioeconomic status (SES) and household factors. This study examined whether these factors were associated with delays in diagnostic resolution among patients with cancer screening abnormalities and whether patient navigation ameliorated these delays. METHODS This study analyzed data from 5 of 10 centers of the National Cancer Institute's Patient Navigation Research Program, which collected SES and household data on employment, income, education, housing, marital status, and household composition. The primary outcome was the time to diagnostic resolution after a cancer screening abnormality. Separate adjusted Cox proportional hazard models were fit for each SES and household factor, and an interaction between that factor and the intervention status was included. RESULTS Among the 3777 participants (1968 in the control arm and 1809 in the navigation intervention arm), 91% were women, and the mean age was 44 years; 43% were Hispanic, 28% were white, and 27% were African American. Within the control arm, the unemployed experienced a longer time to resolution than those employed full-time (hazard ratio [HR], 0.85; P = .02). Renters (HR, 0.81; P = .02) and those with other (ie, unstable) housing (HR, 0.60; P

BACKGROUND There is limited understanding of the association between barriers to care and clinical outcomes within patient navigation programs. METHODS Secondary analyses of data from the intervention arms of the Patient Navigation Research Program were performed, which included navigated participants with abnormal breast and cervical cancer screening tests from 2007 to 2010. Independent variables were: 1) the number of unique barriers to care (0, 1, 2, or ≥3) documented during patient navigation encounters; and 2) the presence of socio-legal barriers originating from social policy (yes/no). The median time to diagnostic resolution of index screening abnormalities was estimated using Kaplan-Meier cumulative incidence curves. Multivariable Cox proportional hazards regression examined the impact of barriers on time to resolution, controlling for sociodemographics and stratifying by study center. RESULTS Among 2600 breast screening participants, approximately 75% had barriers to care documented (25% had 1 barrier, 16% had 2 barriers, and 34% had ≥3 barriers). Among 1387 cervical screening participants, greater than one-half had barriers documented (31% had 1 barrier, 11% had 2 barriers, and 13% had ≥3 barriers). Among breast screening participants, the presence of barriers was associated with less timely resolution for any number of barriers compared with no barriers. Among cervical screening participants, only the presence of ≥2 barriers was found to be associated with less timely resolution. Both types of barriers, socio-legal and other barriers, were found to be associated with delay among breast and cervical screening participants. CONCLUSIONS Navigated women with barriers resolved cancer screening abnormalities at a slower rate compared with navigated women with no barriers. Further innovations in navigation care are necessary to maximize the impact of patient navigation programs nationwide. Cancer 2015;121:4016–4024. © 2015 American Cancer Society.

American Indians and Alaska Natives (AI/AN) have worse physical and mental health status than other racial and ethnic groups in the United States, and they face barriers in receiving adequate and timely health services (Roberts and Jones 2004; Barnes, Adams, and Powell-Griner 2010). The Indian Health Service (IHS) is the federal agency charged with providing health care to members of federally recognized AI/AN tribes, corporations, and villages. In the Pacific Northwest states of Idaho, Oregon, and Washington, these services are provided by IHS-operated clinics, tribally operated clinics, and Urban Indian Health Organizations. However, a sizeable proportion of the estimated 344,600 AI/AN in the Northwest do not receive health care from the IHS; in 2013, the IHS had 197,188 patients registered within the three-state area, and 60 percent of these had at least one patient encounter in the past 3 years (Indian Health Service 2014). Further, there are no inpatient hospital facilities within the Indian health system in these states. Therefore, all inpatient hospital services for Northwest AI/AN are provided through nonfederal hospitals. Hospital discharge data are used in a wide variety of public health and health care applications and provide valuable information on health care utilization and health disparities (Schoenman et al. 2005). However, information on the race and ethnicity of patients may not be systematically or accurately collected in these datasets. AI/AN are frequently misclassified in surveillance and administrative data systems, with misclassification ranging from 30 to 70 percent (Kressin et al. 2003; Puuka, Stehr-Green, and Becker 2005; Johnson et al. 2009; Hoopes et al. 2010). Compared with other race groups, AI/AN have the lowest levels of agreement (approximately 60 percent) between self-reported race and race assigned in medical records (Boehrmer et al. 2002; Kressin et al. 2003; Gomez et al. 2005). Data quality issues compound other statistical challenges surrounding small population/cell size and make it difficult to accurately measure AI/AN health disparities at the state and local levels, where actions to address disparities are most likely to occur (Bilheimer and Klein 2010). Record linkage of datasets with IHS, tribal, and urban clinic registration data is an effective strategy for reducing AI/AN misclassification in administrative datasets (Becker et al. 2002; Puuka, Stehr-Green, and Becker 2005; Foote et al. 2007; Johnson et al. 2009; Hoopes, Vinson, and Lopez 2012). Since 1999, the Improving Data and Enhancing Access—Northwest (IDEA-NW) project, part of the Northwest Tribal Epidemiology Center and Northwest Portland Area Indian Health Board, has conducted record linkage studies with state health datasets in Idaho, Oregon, and Washington. The current study evaluates AI/AN misclassification within Oregon and Washington’s hospital discharge data with the aim of providing more reliable measurements of AI/AN hospitalizations.

Background: Little has been reported regarding patterns of oncologic care in American Indian/Alaska Natives (AI/AN). Observed worse survival has been attributed to later-stage presentation. We aimed to evaluate racial differences in cancer-directed therapy and hospice care utilization in AI/ANs and non-Hispanic whites (NHW) with metastatic cancer. Methods: The linked Surveillance, Epidemiology, and End Results (SEER)-Medicare claims database was accessed for AI/AN and NHW metastatic-cancer cases diagnosed between 2001 and 2007. Utilization of cancer-directed therapy (surgery, radiation, and/or chemotherapy) and/or hospice services was compared between AI/ANs and NHWs. Minimally adjusted (age, sex, diagnosis year) and fully-adjusted (also Klabunde comorbidity score, sociodemographic factors) regression models were used to estimate odds (OR) and hazard ratios (HR) for receipt of care. Results: AI/ANs were younger, more likely to reside in the West, be unmarried, have lower income, and live in a nonurban setting than NHWs. Fewer AI/ANs received any cancer-directed therapy (57% vs. 61% NHWs) within 3 months of diagnosis; sociodemographic factors accounted for much of this difference [fully-adjusted HR, 0.94; 95% confidence interval (CI), 0.83–1.08]. We noted differences in hospice utilization between AI/ANs (52%) and NHWs (61%). A significant difference in hospice utilization remained after adjustment for sociodemographics (OR, 0.78; 95% CI, 0.61–0.99). Conclusion: Observed absolute differences in care for AI/ANs and NHWs with metastatic cancer were largely accounted for by adjusting for socioeconomics, comorbidities, and demographic factors. A significant association between race and hospice utilization was noted. Impact: Efforts to improve metastatic-cancer care should focus on socioeconomic barriers and investigate the observed disparity in receipt of hospice services. Cancer Epidemiol Biomarkers Prev; 24(7); 1138–43. ©2015 AACR.

To assess whether timing of initial post-diagnosis cancer care differs between American Indian and Alaska Native (AI/AN) and non-Hispanic White (NHW) patients, we accessed SEER-Medicare data for breast, colorectal, lung, and prostate cancers (2001-2007). Medicare claims data were examined for initiation of cancer-directed treatment. Overall, AI/ANs experienced longer median times to starting treatment than NHWs (45 and 39 days, plt; .001) and lower rates of treatment initiation (HR[95%CI]: 0.86[0.79-0.93]). Differences were largest for prostate (HR: 0.80[0.71-0.89]) and smallest for breast cancer (HR: 0.96[0.83-1.11]). American Indians / Alaska Natives also had elevated odds of greater than 10 weeks between diagnosis and treatment compared with NHWs (OR[95% CI]: 1.37[1.16-1.63]), especially for prostate cancer (OR: 1.41[1.14-1.76]). Adjustment for comorbidity and socio-demographic factors attenuated associations except for prostate cancer. In this insured population, we observed evidence that AI/ANs start cancer therapy later than NHWs. The modest magnitude of delays suggests that they are unlikely to be a determinant of survival disparities.

BACKGROUND Navigators can facilitate timely access to cancer services, but to the authors' knowledge there are little data available regarding their economic impact. METHODS The authors conducted a cost-consequence analysis of navigation versus usual care among 10,521 individuals with abnormal breast, cervical, colorectal, or prostate cancer screening results who enrolled in the Patient Navigation Research Program study from January 1, 2006 to March 31, 2010. Navigation costs included diagnostic evaluation, patient and staff time, materials, and overhead. Consequences or outcomes were time to diagnostic resolution and probability of resolution. Differences in costs and outcomes were evaluated using multilevel, mixed-effects regression modeling adjusting for age, race/ethnicity, language, marital status, insurance status, cancer, and site clustering. RESULTS The majority of individuals were members of a minority (70.7%) and uninsured or publically insured (72.7%). Diagnostic resolution was higher for navigation versus usual care at 180 days (56.2% vs 53.8%; P = .008) and 270 days (70.0% vs 68.2%; P

Object Traumatic brain injury (TBI) is known to be a risk factor for Alzheimer-like dementia. In previous studies, an increase in β-amyloid (Aβ) monomers, such as β-amyloid 42 (Aβ42), in the CSF of patients with TBI has been shown to correlate with a decrease in amyloid plaques in the brain and improved neurological outcomes. In this study, the authors hypothesized that the levels of toxic high-molecular-weight β-amyloid oligomers are increased in the brain and are detectable within the CSF of TBI patients with poor neurological outcomes. Methods Samples of CSF were collected from 18 patients with severe TBI (Glasgow Coma Scale Scores 3–8) and a ventriculostomy. In all cases the CSF was collected within 72 hours of injury. The CSF levels of neuron-specific enolase (NSE) and Aβ42 were measured using enzyme-linked immunosorbent assay. The levels of high-molecular-weight β-amyloid oligomers were measured using Western blot analysis. Results Patients with good outcomes showed an increase in the levels of CSF Aβ42 (p = 0.003). Those with bad outcomes exhibited an increase in CSF levels of β-amyloid oligomers (p = 0.009) and NSE (p = 0.001). In addition, the CSF oligomer levels correlated with the scores on the extended Glasgow Outcome Scale (r = −0.89, p = 0.0001), disability rating scale scores (r = 0.77, p = 0.005), CSF Aβ42 levels (r = −0.42, p = 0.12), and CSF NSE levels (r = 0.70, p = 0.004). Additionally, the receiver operating characteristic curve yielded an area under the curve for β-amyloid oligomers of 0.8750 ± 0.09. Conclusions Detection of β-amyloid oligomers may someday become a useful clinical tool for determining injury severity and neurological outcomes in patients with TBI.

This paper focuses particularly on the educational aspects that contribute to the overall educational satisfaction rated by Tabor School of Education students who participated in the Australasian Survey of Student Engagement (AUSSE) conducted by the Australian Council for Educational Research (ACER) in 2010, 2012 and 2013. In all three years of participation, Tabor ranked first especially in the area of overall student satisfaction. By using a single level path analysis in relation to the AUSSE datasets collected using the Student Engagement Questionnaire (SEQ) for Tabor School of Education, seven aspects that contribute to overall student satisfaction have been identified. There appears to be a direct causal link between aspects of the Supportive Learning Environment, Work Integrated Learning, Career Readiness, Academic Challenge, and overall educational satisfaction levels. 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Patient navigation is emerging as a standard in breast cancer care delivery, yet multi-site data on the impact of navigation at reducing delays along the continuum of care are lacking. The purpose of this study was to determine the effect of navigation on reaching diagnostic resolution at specific time points after an abnormal breast cancer screening test among a national sample. A prospective meta-analysis estimated the adjusted odds of achieving timely diagnostic resolution at 60, 180, and 365 days. Exploratory analyses were conducted on the pooled sample to identify which groups had the most benefit from navigation. Clinics from six medical centers serving vulnerable populations participated in the Patient Navigation Research Program. Women with an abnormal breast cancer screening test between 2007 and 2009 were included and received the patient navigation intervention or usual care. Patient navigators worked with patients and their care providers to address patient-specific barriers to care to prevent delays in diagnosis. A total of 4675 participants included predominantly racial/ethnic minorities (74 %) with public insurance (40 %) or no insurance (31 %). At 60 days and 180 days, there was no statistically significant effect of navigation on achieving timely diagnostic care, but a benefit of navigation was seen at 365 days (aOR 2.12, CI 1.36-3.29). We found an equal benefit of navigation across all groups, regardless of race/ethnicity, language, insurance status, and type of screening abnormality. Patient navigation resulted in more timely diagnostic resolution at 365 days among a diverse group of minority, low-income women with breast cancer screening abnormalities. Trial registrations clinicaltrials.gov Identifiers: NCT00613275, NCT00496678, NCT00375024, NCT01569672.

Whether patient navigation improves outcomes for patients with comorbidities is unknown. The aims of this study were to determine the effect of comorbidities on the time to diagnostic resolution after an abnormal cancer screening test and to examine whether patient navigation improves the timeliness and likelihood of diagnostic resolution for patients with comorbidities in comparison with no navigation.A secondary analysis of comorbidity data collected by Patient Navigation Research Program sites using the Charlson Comorbidity Index (CCI) was conducted. The participants were 6,349 patients with abnormal breast, cervical, colon, or prostate cancer screening tests between 2007 and 2011. The intervention was patient navigation or usual care. The CCI data were highly skewed across projects and cancer sites, and the CCI scores were categorized as 0 (CCI score of 0 or no comorbidities identified; 76% of cases); 1 (CCI score of 1; 16% of cases), or 2 (CCI score ≥ 2; 8% of cases). Separate adjusted hazard ratios for each site and cancer type were obtained, and then they were pooled with a meta-analysis random effects methodology.Patients with a CCI score ≥ 2 had delayed diagnostic resolution after an abnormal cancer screening test in comparison with those with no comorbidities. Patient navigation reduced delays in diagnostic resolution, with the greatest benefits seen for those with a CCI score ≥ 2.Persons with a CCI score ≥ 2 experienced significant delays in timely diagnostic care in comparison with patients without comorbidities. Patient navigation was effective in reducing delays in diagnostic resolution among those with CCI scores 1. Cancer 2017;123:312-318. © 2016 American Cancer Society.

Objective We undertook the current investigation to explore how the pressures of serving as a surrogate decision-maker (SDM) for an acutely ill family member influence attitudes regarding clinical investigation. Methods We conducted a prospective study involving SDMs for critically ill patients cared for in the ICUs of two urban hospitals. Measurements included participation in focus groups designed to explore perceptions of ICU care and clinical research. Audiotapes were transcribed and analyzed to identify common patterns and themes using grounded theory. Demographic and clinical data were summarized using standard statistical methods. Results Seventy-four SDMs (corresponding to 24% of eligible patients) participated. Most SDMs were women and described long-term relationships with the patients represented. SDMs described their role as "overwhelming," their emotions were accentuated by the fatigue of the ICU experience, and they relied on family members, social contacts, and religion as sources of support. Altruism was reported as a common motivation for potential study participation, a sentiment often strengthened by the critical illness episode. Although research was viewed as optional, some SDMs perceived invitation for research participation as tacit acknowledgment of therapeutic failure. SDMs expressed a preference for observational studies (perceived as low risk) over interventional designs (perceived as higher risk). Trust in the ICU team and the research enterprise seemed tightly linked. Conclusions Despite significant emotional duress, SDMs expressed interest in investigation and described multiple factors motivating participation. Consent processes that minimize the effects of anxiety may be one strategy to enhance recruitment.

Background The Patient Navigation Research Program (PNRP) is a cooperative effort of nine research projects, with similar clinical criteria but with different study designs. To evaluate projects such as PNRP, it is desirable to perform a pooled analysis to increase power relative to the individual projects. There is no agreed-upon prospective methodology, however, for analyzing combined data arising from different study designs. Expert opinions were thus solicited from the members of the PNRP Design and Analysis Committee. Purpose To review possible methodologies for analyzing combined data arising from heterogeneous study designs. Methods The Design and Analysis Committee critically reviewed the pros and cons of five potential methods for analyzing combined PNRP project data. The conclusions were based on simple consensus. The five approaches reviewed included the following: (1) analyzing and reporting each project separately, (2) combining data from all projects and performing an individual-level analysis, (3) pooling data from projects having similar study designs, (4) analyzing pooled data using a prospective meta-analytic technique, and (5) analyzing pooled data utilizing a novel simulated group-randomized design. Results Methodologies varied in their ability to incorporate data from all PNRP projects, to appropriately account for differing study designs, and to accommodate differing project sample sizes. Limitations The conclusions reached were based on expert opinion and not derived from actual analyses performed. Conclusions The ability to analyze pooled data arising from differing study designs may provide pertinent information to inform programmatic, budgetary, and policy perspectives. Multisite community-based research may not lend itself well to the more stringent explanatory and pragmatic standards of a randomized controlled trial design. Given our growing interest in community-based population research, the challenges inherent in the analysis of heterogeneous study design are likely to become more salient. Discussion of the analytic issues faced by the PNRP and the methodological approaches we considered may be of value to other prospective community-based research programs.

Patient navigators-individuals who assist patients through the healthcare system to improve access to and understanding of their health and healthcare-are increasingly used for underserved individuals at risk for or with cancer. Navigation programs can improve access, but it is unclear whether they improve the efficiency and efficacy of cancer diagnostic and therapeutic services at a reasonable cost, such that they would be considered cost-effective. In the current study, the authors outline a conceptual model for evaluating the cost-effectiveness of cancer navigation programs. They describe how this model is being applied to the Patient Navigation Research Program, a multicenter study supported by the National Cancer Institute's Center to Reduce Cancer Health Disparities. The Patient Navigation Research Program is testing navigation interventions that aim to reduce time to delivery of quality cancer care (noncancer resolution or cancer diagnosis and treatment) after identification of a screening abnormality. Examples of challenges to evaluating cost-effectiveness of navigation programs include the heterogeneity of navigation programs, the sometimes distant relation between navigation programs and outcome of interest (eg, improving access to prompt diagnostic resolution and life-years gained), and accounting for factors in underserved populations that may influence both access to services and outcomes. In this article, the authors discuss several strategies for addressing these barriers. Evaluating the costs and impact of navigation will require some novel methods, but will be critical in recommendations concerning dissemination of navigation programs.

There is limited understanding of the association between barriers to care and clinical outcomes within patient navigation programs.Secondary analyses of data from the intervention arms of the Patient Navigation Research Program were performed, which included navigated participants with abnormal breast and cervical cancer screening tests from 2007 to 2010. Independent variables were: 1) the number of unique barriers to care (0, 1, 2, or ≥3) documented during patient navigation encounters; and 2) the presence of socio-legal barriers originating from social policy (yes/no). The median time to diagnostic resolution of index screening abnormalities was estimated using Kaplan-Meier cumulative incidence curves. Multivariable Cox proportional hazards regression examined the impact of barriers on time to resolution, controlling for sociodemographics and stratifying by study center.Among 2600 breast screening participants, approximately 75% had barriers to care documented (25% had 1 barrier, 16% had 2 barriers, and 34% had ≥3 barriers). Among 1387 cervical screening participants, greater than one-half had barriers documented (31% had 1 barrier, 11% had 2 barriers, and 13% had ≥3 barriers). Among breast screening participants, the presence of barriers was associated with less timely resolution for any number of barriers compared with no barriers. Among cervical screening participants, only the presence of ≥2 barriers was found to be associated with less timely resolution. Both types of barriers, socio-legal and other barriers, were found to be associated with delay among breast and cervical screening participants.Navigated women with barriers resolved cancer screening abnormalities at a slower rate compared with navigated women with no barriers. Further innovations in navigation care are necessary to maximize the impact of patient navigation programs nationwide.

Despite growing popularity of patient navigation (PN) as a means to improve cancer care quality and reduce cancer-related disparities, there are few well-designed controlled trials assessing the impact of PN on patient outcomes like satisfaction with care. The present controlled study examined effect of PN on satisfaction with cancer-related care. Patients who presented with a symptom or abnormal screening test (n = 1788) or definitive diagnosis (n = 445) of breast, cervical, colorectal, or prostate cancer from eight Patient Navigator Research Program sites were included in one of two groups: intervention (PN) or comparison (usual care or usual care plus cancer educational materials). Trained patient navigators met with intervention group participants to help them assess and identify resources to address barriers to cancer diagnostic or treatment care. Using a validated instrument, we assessed participants’ satisfaction with their cancer diagnostic or treatment care up to 3 months after diagnostic resolution of a cancer-related abnormality or within 3 months of initiation of cancer treatment. Overall, patients reported high satisfaction with diagnostic care and cancer treatment. There were no statistically significant differences between PN and control groups in satisfaction with cancer-related care (p > 0.05). Hispanic and African American participants were less likely to report high satisfaction with cancer care when compared to White patients. Middle-aged participants with higher education, higher household income, private insurance, owning their own home, working full-time, and those whose primary language is English had higher satisfaction with cancer-related diagnostic care. PN had no statistically significant effect on patients’ satisfaction with cancer-related care. Further research is needed to define the patient populations who might benefit from PN, content of PN that is most useful, and services that might enhance PN. clinicaltrials.gov identifiers: NCT00613275 , NCT00496678 , NCT00375024 , NCT01569672

Objectives. American Indians and Alaska Natives (AI/ANs) experience a high burden of mortality and other disparities compared with the general population. Life tables are an important population health indicator; however, federal agencies have not produced life tables for AI/ANs, largely due to racial misclassification on death certificates. Our objective was to correct this misclassification and create life tables for AI/ANs who resided in the Pacific Northwest region of the U.S., making comparisons with the general population. Methods. To correct racial misclassification, we conducted probabilistic record linkages between death certificates from three Northwest states—Idaho, Oregon, and Washington State—issued during 2008–2010, and AI/AN patient registration records. We calculated mortality rates and generated period life tables for AI/ANs and non-Hispanic white (NHW) Americans. Results. Overall life expectancy at birth for Northwest AI/ANs was 72.8 years, which was 6.9 years lower than that of NHW Americans. Male AI/ANs had a lower life expectancy (70.9 years) than female AI/ANs (74.6 years). The disparity in life expectancy between AI/ANs and their NHW counterparts was higher for females (with AI/ANs living 7.3 years fewer than NHW females) than for males (with AI/ANs living 6.7 years fewer than NHW males). The greatest disparity in mortality rates was seen among young adults. Conclusion. Data linkage with a registry of known AI/ANs allowed us to generate accurate life tables that had not previously been available for this population and revealed disparities in both life expectancy at birth and survival across the life span. These results represent an important tool to help AI/AN communities as they monitor their health and promote efforts to eliminate health disparities.

Some reviewers of Arlene Chai's 1996 novel Eating Fire and Drinking Water have maintained that it suffers from a major flaw: that it is a failed attempt to combine the personal stories of many characters and the political story of the Marcos military regime in the Philippines. Patrick Gale in The (London) Independent writes: “The attempt to combine the personal and political results in Chai spreading her attention too thinly to satisfy” (14). Anderson Tepper, in the New York Times, criticizes Chai for using a “superficial vision of third world revolt” to “spice up” the novel (16). Rebecca Stuhr in the Library Journal complains that the many different stories in the novel “create digressions that slow its progress” (104). And the reviewer in Publisher's Weekly finds the novel's structure “confusing” and concludes that Chai's tendency to skip “from major to minor characters” results in a “muddle” (71). These critics have failed to recognize that in Chai's novel the personal stories and the politica...

Examining the texts of two plays by Susanna Centlivre (ca. 1667-1723), The Gamester and The Basset Table, the essay identifies the problematics of the twentieth-century use of the term "sentimental comedy," interrogating its application to Centlivre's plays and analyzing the significance of the cultural context within which Centlivre wrote. The essay argues that there are elements within Centlivre's plays that function as a subversive countermovement in the texts, resisting and deconstructing the dominant ideology of her audience and its demand for a comforting moral.

BACKGROUND Patient navigation is a promising intervention to address cancer disparities but requires a multisite controlled trial to assess its effectiveness. METHODS The Patient Navigation Research Program compared patient navigation with usual care on time to diagnosis or treatment for participants with breast, cervical, colorectal, or prostate screening abnormalities and/or cancers between 2007 and 2010. Patient navigators developed individualized strategies to address barriers to care, with the focus on preventing delays in care. To assess timeliness of diagnostic resolution, we conducted a meta-analysis of center- and cancer-specific adjusted hazard ratios (aHRs) comparing patient navigation vs usual care. To assess initiation of cancer therapy, we calculated a single aHR, pooling data across all centers and cancer types. We conducted a metaregression to evaluate variability across centers. All statistical tests were two-sided. RESULTS The 10521 participants with abnormal screening tests and 2105 with a cancer or precancer diagnosis were predominantly from racial/ethnic minority groups (73%) and publically insured (40%) or uninsured (31%). There was no benefit during the first 90 days of care, but a benefit of navigation was seen from 91 to 365 days for both diagnostic resolution (aHR = 1.51; 95% confidence interval [CI] = 1.23 to 1.84; P < .001)) and treatment initiation (aHR = 1.43; 95% CI = 1.10 to 1.86; P < .007). Metaregression revealed that navigation had its greatest benefits within centers with the greatest delays in follow-up under usual care. CONCLUSIONS Patient navigation demonstrated a moderate benefit in improving timely cancer care. These results support adoption of patient navigation in settings that serve populations at risk of being lost to follow-up.

In Book III of Chaucer's Troilus and Criseyde (ca. 1385) Troilus looks upon Criseyde's face and comments to himself that he cannot read the text of her expression, or "cheere": "Though ther be mercy writen in youre cheere, / God woot, the text ful hard is, soth, to fynde!" (Ill, 1356-57). The majority of critics have shared Troilus's difficulty, reading, not the text of Criseyde, but the Troilus-based text. Although critics have been willing (sometimes even eager) to condemn the character of Criseyde, they have, for the most part, viewed Troilus sympathetically. These read ings vary from D. W. Robertson's assumption that Troilus is a tragic hero while Criseyde is coy, sly, deceitful, and guilty of self-love, to the even harsher judgment of Eugene Vance, who focuses on the "slydynge" of Criseyde's courage (V, 825), moralistically condemning her as lustful, dis solute, and duplicitous.1 A minority of critics, on the other hand, have questioned the Troilus text, concluding that Troilus is deficient in char acter.2 None of these interpretations, however, explains why Troilus fails as a lover and as a person. It is my contention that Troilus's failure derives primarily from his failure to read the text of Criseyde. And his failure to read that text derives from the limitations of his perspective; he cannot read the text of Criseyde because he cannot get outside his own text. In this respect Troilus is similar to the walled city of Troy with which he is identified.

Background: For uninsured American Indians and Alaskan Natives (AIAN) diagnosed with cancer, prompt enrollment in Medicaid may speed access to treatment and improve survival. We hypothesized that AIANs who were eligible for the Indian Health Service Care System (IHSCS) at cancer diagnosis may be enrolled in Medicaid sooner than other AIANs. Methods: Using Washington, Oregon, and California State Cancer Registries, we identified AIANs with a primary diagnosis of lung, breast, colorectal, cervical, ovarian, stomach, or prostate cancer between 2001 and 2007. Among AIANs enrolled in Medicaid within 365 days of a cancer diagnosis, we linked cancer registry records with Medicaid enrollment data and used a multivariate logistic regression model to compare the odds of delayed Medicaid enrollment between those with (n = 223) and without (n = 177) IHSCS eligibility. Results: Among AIANs who enrolled in Medicaid during the year following their cancer diagnosis, approximately 32% enrolled >1 month following diagnosis. Comparing those without IHSCS eligibility to those with IHSCS eligibility, the adjusted odds ratio (OR) for moderately late Medicaid enrollment (between 1 and 6 months after diagnosis) relative to early Medicaid enrollment (≤1 month after diagnosis) was 1.10 [95% confidence interval (CI), 0.62–1.95] and for very late Medicaid enrollment (>6 months to 12 months after diagnosis), OR was 1.14 (CI, 0.54–2.43). Conclusion: IHSCS eligibility at the time of diagnosis does not seem to facilitate early Medicaid enrollment. Impact: Because cancer survival rates in AIANs are among the lowest of any racial group, additional research is needed to identify factors that improve access to care in AIANs. Cancer Epidemiol Biomarkers Prev; 23(2); 362–4. ©2013 AACR.

Critical illness clinical trials that entail genomic data collection pose unique challenges. In this qualitative study, we found that surrogate decision makers (SDMs) for critically ill individuals, such as those who would be approached for study participation, appeared to have a limited grasp of genomic principles. We argue that low levels of genomic literacy should neither preclude nor be in conflict with the conduct of ethically rigorous clinical trials.

Patient navigation has emerged as a promising strategy for addressing racial-ethnic and socioeconomic disparities in cancer-related care. However, little is known about the impact of patients’ perception of the quality of navigation on patient outcomes. We examined the impact of better-rated navigators on patients’ satisfaction with cancer-related care. The sample included 1,593 adults (85.8 % with abnormal cancer screening and 14.2 % with confirmed cancer diagnosis) who received patient navigation. We defined better-rated navigators as those scoring above the first quartile of mean scores on the Patient Satisfaction with Interpersonal Relationship with Navigator scale. We defined patient satisfaction based on scores above or below the median of the Patient Satisfaction with Cancer-Related Care (PSCC) scale. We controlled for patient and site characteristics using backward selection logistic regression analyses. Among patients with abnormal screening, having a better-rated navigator was associated with higher score on the PSCC (p

Summary Objectives This study explores surrogate decision-makers’ (SDMs) challenges making decisions related to the care of patients in critical care, to (1) characterise the SDM stress, (2) identify personal, social, care-related factors influencing stress and (3) consider implications of findings to improving critical care practice. Methodology Semi-structured interviews were conducted with SDMs of critically ill patients receiving care in two tertiary care institutions. Transcripts were analysed using a grounded theory approach. Domains explored were: stress characteristics, stress mitigators, coping strategies, social networks, SDM decision-making role, decision-making concordance, knowledge of patient's preferences, experience with provider team, SDM-provider communication, patient outcome certainty. Main outcomes We interviewed 34 SDMs. Most were female and described long-term relationships with patients. SDMs described the strain of uncertain outcomes and decision-making without clear, consistent information from providers. Decision-making anxiety was buffered by SDMs’ active engagement of social networks, faith and access to clear communication from providers. Conclusion Stress is a very real factor influencing SDMs confidence and comfort making decisions. These findings suggest that stress can be minimised by improving communication between SDMs and medical providers. Nurses’ central role in the ICU makes them uniquely poised to spearhead interventions to improve provider-SDM communication and reduce SDM decision-making anxiety.

Navigators can facilitate timely access to cancer services, but to the authors' knowledge there are little data available regarding their economic impact.The authors conducted a cost-consequence analysis of navigation versus usual care among 10,521 individuals with abnormal breast, cervical, colorectal, or prostate cancer screening results who enrolled in the Patient Navigation Research Program study from January 1, 2006 to March 31, 2010. Navigation costs included diagnostic evaluation, patient and staff time, materials, and overhead. Consequences or outcomes were time to diagnostic resolution and probability of resolution. Differences in costs and outcomes were evaluated using multilevel, mixed-effects regression modeling adjusting for age, race/ethnicity, language, marital status, insurance status, cancer, and site clustering.The majority of individuals were members of a minority (70.7%) and uninsured or publically insured (72.7%). Diagnostic resolution was higher for navigation versus usual care at 180 days (56.2% vs 53.8%; P = .008) and 270 days (70.0% vs 68.2%; P .001). Although there were no differences in the average number of days to resolution between the 2 groups (110 days vs 109 days; P = .63), the probability of ever having diagnostic resolution was higher for the navigation group versus the usual-care group (84.5% vs 79.6%; P .001). The added cost of navigation versus usual care was $275 per patient (95% confidence interval, $260-$290; P .001). There was no significant difference in stage distribution among the 12.4% of patients in the navigation group vs 11% of the usual-care patients diagnosed with cancer.Navigation adds costs and modestly increases the probability of diagnostic resolution among patients with abnormal screening test results. Navigation is only likely to be cost-effective if improved resolution translates into an earlier cancer stage at the time of diagnosis.

Traumatic brain injury (TBI) is known to be a risk factor for Alzheimer-like dementia. In previous studies, an increase in β-amyloid (Aβ) monomers, such as β-amyloid 42 (Aβ42), in the CSF of patients with TBI has been shown to correlate with a decrease in amyloid plaques in the brain and improved neurological outcomes. In this study, the authors hypothesized that the levels of toxic high-molecular-weight β-amyloid oligomers are increased in the brain and are detectable within the CSF of TBI patients with poor neurological outcomes.Samples of CSF were collected from 18 patients with severe TBI (Glasgow Coma Scale Scores 3-8) and a ventriculostomy. In all cases the CSF was collected within 72 hours of injury. The CSF levels of neuron-specific enolase (NSE) and Aβ42 were measured using enzyme-linked immunosorbent assay. The levels of high-molecular-weight β-amyloid oligomers were measured using Western blot analysis.Patients with good outcomes showed an increase in the levels of CSF Aβ42 (p = 0.003). Those with bad outcomes exhibited an increase in CSF levels of β-amyloid oligomers (p = 0.009) and NSE (p = 0.001). In addition, the CSF oligomer levels correlated with the scores on the extended Glasgow Outcome Scale (r = -0.89, p = 0.0001), disability rating scale scores (r = 0.77, p = 0.005), CSF Aβ42 levels (r = -0.42, p = 0.12), and CSF NSE levels (r = 0.70, p = 0.004). Additionally, the receiver operating characteristic curve yielded an area under the curve for β-amyloid oligomers of 0.8750 ± 0.09.Detection of β-amyloid oligomers may someday become a useful clinical tool for determining injury severity and neurological outcomes in patients with TBI.