Five Dimensions of Needs for Help: The Efficacy of a Technology-Based Intervention Among Asian American Breast Cancer Survivors.

Cancer survivors including Asian American breast cancer survivors have reported their high needs for help during their survivorship process. With the COVID-19 pandemic, the necessity of technology-based programs to address their needs for help without face-to-face interactions has been highlighted. The purpose of this randomized intervention study was to determine the efficacy of a technology-based program in reducing various types of needs for help among this specific population. This was a randomized clinical trial with repeated measures. A total of 199 participants were included in the data analysis. The recruitment settings included both online and offline communities/groups for Asian Americans. The needs for help were assessed using the Support Care Needs Survey-34 Short Form (SCNS) subscales measuring psychological, information, physical, support, and communication needs. Data analysis was conducted through an intent-to-treat approach. In the mixed effect models, psychological needs, information needs, physical needs, and communication needs decreased over time (P < .001). However, there were no significant group * time effects. Social support significantly mediated the effects of a technology-based intervention on psychological, information, and support needs at the pre-test and the post-1 month. This study supported significant decreases in the needs for help of Asian American breast cancer survivors by a technology-based intervention. Further studies are needed with other racial/ethnic groups of cancer survivors to confirm the efficacy of a technology-based intervention in reducing cancer survivors' needs for help during their survivorship process.

The ASCENT Intervention to Improve Access and Reduce Racial Inequalities in Kidney Waitlisting: A Randomized, Effectiveness-Implementation Trial.

BACKGROUND: The US kidney allocation system (KAS) changed in 2014, but dialysis facility staff (including nephrologists, social workers, nurse managers, and facility administrators) had low awareness of how this policy change could affect their patients' access to transplant. We assessed the effectiveness of a multicomponent and multilevel educational and outreach intervention targeting US dialysis facilities with low waitlisting, with a goal of increasing waitlisting and reducing Black versus White racial disparities in waitlisting. METHODS: The Allocation System Changes for Equity in Kidney Transplantation (ASCENT) study was a cluster-randomized, pragmatic, multilevel, effectiveness-implementation trial including 655 US dialysis facilities with low waitlisting, randomized to receive either the ASCENT intervention (a performance feedback report, a webinar, and staff and patient educational videos) or an educational brochure. Absolute and relative differences in coprimary outcomes (1-year waitlisting and racial differences in waitlisting) were reported among incident and prevalent patients. RESULTS: Among 56,332 prevalent patients, 1-year waitlisting decreased for patients in control facilities (2.72%-2.56%) and remained the same for patients in intervention facilities (2.68%-2.75%). However, the proportion of prevalent Black patients waitlisted in the ASCENT interventions increased from baseline to 1 year (2.52%-2.78%), whereas it remained the same for White patients in the ASCENT intervention facilities (2.66%-2.69%). Among incident patients in ASCENT facilities, 1-year waitlisting increased among Black patients (from 0.87% to 1.07%) but declined among White patients (from 1.54% to 1.27%). Significant racial disparities in waitlisting were observed at baseline, with incident Black patients in ASCENT facilities less likely to waitlist compared with White patients (adjusted odds ratio [aOR], 0.56; 95% confidence interval [CI], 0.35 to 0.92), but 1 year after the intervention, this racial disparity was attenuated (aOR, 0.84; 95% CI, 0.49 to 1.42). CONCLUSIONS: The ASCENT intervention may have a small effect on extending the reach of the new KAS policy by attenuating racial disparities in waitlisting among a population of US dialysis facilities with low waitlisting. CLINICAL TRIAL REGISTRY NAME AND REGISTRATION NUMBER: National Institutes of Health ( NCT02879812 ). PODCAST: This article contains a podcast at https://dts.podtrac.com/redirect.mp3/www.asn-online.org/media/podcast/CJASN/2023_03_08_CJN09760822.mp3.

Social and Environmental Influences on Sexual Behaviors of College Black Women: Within Group Diversity Between HBCU vs. PWI Experiences.

Black women carry a disproportionate number of new HIV infections in the USA. Studies that have assessed HIV risk perception along with HIV prevention interventions for Black women have primarily focused on Black women of low socioeconomic status. Few studies have assessed HIV risk perceptions and sexual behavior among college-educated Black women of higher socioeconomic status despite their high risk of HIV. College-educated Black women are most likely to acquire HIV while in college, and there has been a marked absence of research assessing the environmental and cultural influences present throughout college-campuses, coupled with evaluating how these factors shape sexual behaviors. We conducted surveys with Black female students attending a historically Black college and Black female students attending a predominately White university, and compared baseline differences in sexual behaviors among both populations. Results showed that for participants attending the historically Black college certain sociocultural elements, such as music and media, had a significantly stronger influence on sexuality and sexual behaviors compared with students attending predominately White universities. The development of future HIV prevention interventions for Black women necessitates an understanding of the diverse microcultures that Black women come from. This research is high priority for college-educated Black women given this population's lack of inclusion in HIV prevention research.

Racial disparities in preemptive referral for kidney transplantation in Georgia.

BACKGROUND: Racial disparities persist in access to kidney transplantation. Racial differences in preemptive referral, or referral prior to dialysis start, may explain this discrepancy. METHODS: Patient-level data on kidney transplant referrals (2005-2012) from all Georgia transplant centers were linked to the United States Renal Data System to examine racial disparities in preemptive referral, waitlisting, and living donor transplant. Adjusted logistic regression and Cox proportional hazard models determined the associations between race (African American vs white) and preemptive referral, and placement on the waitlist and receipt of a living donor kidney, respectively. RESULTS: Among 7752 adults referred for transplant evaluation, 20.38% (n = 1580) were preemptively referred. The odds of African Americans being preemptively referred for transplant evaluation were 37% (OR = 0.63; [95% CI: 0.55 0.71]) lower than white patients. Among preemptively referred patients, there was no racial difference (African Americans compared to white patients. HR = 0.96; [95% CI: 0.88, 1.04]) in waitlisting. However, African Americans were 70% less likely than white patients to receive a living donor transplant (HR = 0.30; [95% CI: 0.21, 0.42]). CONCLUSION: Racial disparities in transplant receipt may be partially explained by disparities in preemptive referral. Interventions to reduce racial disparities in kidney transplant access may need to be targeted earlier in the disease process.

A Randomized Trial to Reduce Disparities in Referral for Transplant Evaluation.

Georgia has the lowest kidney transplant rates in the United States and substantial racial disparities in transplantation. We determined the effectiveness of a multicomponent intervention to increase referral of patients on dialysis for transplant evaluation in the Reducing Disparities in Access to kidNey Transplantation Community Study (RaDIANT), a randomized, dialysis facility-based, controlled trial involving >9000 patients receiving dialysis from 134 dialysis facilities in Georgia. In December of 2013, we selected dialysis facilities with either low transplant referral or racial disparity in referral. The intervention consisted of transplant education and engagement activities targeting dialysis facility leadership, staff, and patients conducted from January to December of 2014. We examined the proportion of patients with prevalent ESRD in each facility referred for transplant within 1 year as the primary outcome, and disparity in the referral of black and white patients as a secondary outcome. Compared with control facilities, intervention facilities referred a higher proportion of patients for transplant at 12 months (adjusted mean difference [aMD], 7.3%; 95% confidence interval [95% CI], 5.5% to 9.2%; odds ratio, 1.75; 95% CI, 1.36 to 2.26). The difference between intervention and control facilities in the proportion of patients referred for transplant was higher among black patients (aMD, 6.4%; 95% CI, 4.3% to 8.6%) than white patients (aMD, 3.7%; 95% CI, 1.6% to 5.9%; P<0.05). In conclusion, this intervention increased referral and improved equity in kidney transplant referral for patients on dialysis in Georgia; long-term follow-up is needed to determine whether these effects led to more transplants.

Variation in Dialysis Facility Referral for Kidney Transplantation Among Patients With End-Stage Renal Disease in Georgia.

IMPORTANCE: Dialysis facilities in the United States are required to educate patients with end-stage renal disease about all treatment options, including kidney transplantation. Patients receiving dialysis typically require a referral for kidney transplant evaluation at a transplant center from a dialysis facility to start the transplantation process, but the proportion of patients referred for transplantation is unknown. OBJECTIVE: To describe variation in dialysis facility-level referral for kidney transplant evaluation and factors associated with referral among patients initiating dialysis in Georgia, the US state with the lowest kidney transplantation rates. DESIGN, SETTING, AND PARTICIPANTS: Examination of United States Renal Data System data from a cohort of 15,279 incident, adult (18-69 years) patients with end-stage renal disease from 308 Georgia dialysis facilities from January 2005 to September 2011, followed up through September 2012, linked to kidney transplant referral data collected from adult transplant centers in Georgia in the same period. MAIN OUTCOMES AND MEASURES: Referral for kidney transplant evaluation within 1 year of starting dialysis at any of the 3 Georgia transplant centers was the primary outcome; placement on the deceased donor waiting list was also examined. RESULTS: The median within-facility percentage of patients referred within 1 year of starting dialysis was 24.4% (interquartile range, 16.7%-33.3%) and varied from 0% to 75.0%. Facilities in the lowest tertile of referral (<19.2%) were more likely to treat patients living in high-poverty neighborhoods (absolute difference, 21.8% [95% CI, 14.1%-29.4%]), had a higher patient to social worker ratio (difference, 22.5 [95% CI, 9.7-35.2]), and were more likely nonprofit (difference, 17.6% [95% CI, 7.7%-27.4%]) compared with facilities in the highest tertile of referral (>31.3%). In multivariable, multilevel analyses, factors associated with lower referral for transplantation, such as older age, white race, and nonprofit facility status, were not always consistent with the factors associated with lower waitlisting. CONCLUSIONS AND RELEVANCE: In Georgia overall, a limited proportion of patients treated with dialysis were referred for kidney transplant evaluation between 2005 and 2011, but there was substantial variability in referral among facilities. Variables associated with referral were not always associated with waitlisting, suggesting that different factors may account for disparities in referral.

Using administrative data to identify naturally occurring networks of physicians.

BACKGROUND: Physicians naturally form networks. Networks could form a rational basis for Accountable Care Organizations (ACOs) for defined populations of Medicare beneficiaries. OBJECTIVES: To use methods from network science to identify naturally occurring networks of physicians that might be best suited to becoming ACOs. RESEARCH DESIGN, SUBJECTS, AND MEASURES: Using nationally representative claims data from the Medicare program for CY 2006 on 51 hospital referral regions (HRRs), we used a network science-based community-detection algorithm to identify groups of physicians likely to have preestablished relationships. After assigning patients to networks based upon visits with a primary care physician, we examined the proportion of care delivered within communities and compared our results with potential ACOs organized around single hospitals. RESULTS: We studied 4,586,044 Medicare beneficiaries from 51 HRRs who were seen by 68,288 active physicians practicing in those HRRs. The median community-based network ACO had 150 physicians with 5928 ties, whereas the median hospital-based network ACO had 96 physicians with 3276 ties. Among patients assigned to networks via their primary care physicians, seventy-seven percent of physician visits occurred with physicians in the community-based networks as compared with 56% with physicians in the hospital-based networks; however, just 8% of specialist visits were to specialists within the hospital-based networks as compared with 60% of specialist visits within the community-based networks. Some markets seemed better suited to developing ACOs based on network communities than others. CONCLUSIONS: We present a novel approach to identifying groups of physicians that might readily function as ACOs. Organic networks identified and defined in this natural and systematic manner already have physicians who exhibit close working relationships, and who, importantly, keep the vast majority of care within the networks.

Bayesian reconstruction of P(r) directly from two-dimensional detector images via a Markov chain Monte Carlo method.

The interatomic distance distribution, P(r), is a valuable tool for evaluating the structure of a molecule in solution and represents the maximum structural information that can be derived from solution scattering data without further assumptions. Most current instrumentation for scattering experiments (typically CCD detectors) generates a finely pixelated two-dimensional image. In contin-uation of the standard practice with earlier one-dimensional detectors, these images are typically reduced to a one-dimensional profile of scattering inten-sities, I(q), by circular averaging of the two-dimensional image. Indirect Fourier transformation methods are then used to reconstruct P(r) from I(q). Substantial advantages in data analysis, however, could be achieved by directly estimating the P(r) curve from the two-dimensional images. This article describes a Bayesian framework, using a Markov chain Monte Carlo method, for estimating the parameters of the indirect transform, and thus P(r), directly from the two-dimensional images. Using simulated detector images, it is demonstrated that this method yields P(r) curves nearly identical to the reference P(r). Furthermore, an approach for evaluating spatially correlated errors (such as those that arise from a detector point spread function) is evaluated. Accounting for these errors further improves the precision of the P(r) estimation. Experimental scattering data, where no ground truth reference P(r) is available, are used to demonstrate that this method yields a scattering and detector model that more closely reflects the two-dimensional data, as judged by smaller residuals in cross-validation, than P(r) obtained by indirect transformation of a one-dimensional profile. Finally, the method allows concurrent estimation of the beam center and Dmax, the longest interatomic distance in P(r), as part of the Bayesian Markov chain Monte Carlo method, reducing experimental effort and providing a well defined protocol for these parameters while also allowing estimation of the covariance among all parameters. This method provides parameter estimates of greater precision from the experimental data. The observed improvement in precision for the traditionally problematic Dmax is particularly noticeable.

Volume of home- and community-based services and time to nursing-home placement.

OBJECTIVE: The purpose of this study was to determine whether the volume of Home- and Community-Based Services (HCBS) that target Activities of Daily Living disabilities, such as attendant care, homemaking services, and home-delivered meals, increases recipients' risk of transitioning from long-term care provided through HCBS to long-term care provided in a nursing home. DATA SOURCES: Data are from the Indiana Medicaid enrollment, claims, and Insite databases. Insite is the software system that was developed for collecting and reporting data for In-Home Service Programs. STUDY DESIGN: Enrollees in Indiana Medicaid's Aged and Disabled Waiver program were followed forward from time of enrollment to assess the association between the volume of attendant care, homemaking services, home-delivered meals, and related covariates, and the risk for nursing-home placement. An extension of the Cox proportional hazard model was computed to determine the cumulative hazard of nursing-home placement in the presence of death as a competing risk. PRINCIPAL FINDINGS: Of the 1354 Medicaid HCBS recipients followed in this study, 17% did not receive any attendant care, homemaking services, or home-delivered meals. Among recipients who survived through 24 months after enrollment, one in five transitioned from HCBS to a nursing-home. Risk for nursing-home placement was significantly lower for each five-hour increment in personal care (HR=0.95, 95% CI=0.92-0.98) and homemaking services (HR=0.87, 95% CI=0.77-0.99). CONCLUSIONS: Future policies and practices that are focused on optimizing long-term care outcomes should consider that a greater volume of HCBS for an individual is associated with reduced risk of nursing-home placement.

Volume of home- and community-based Medicaid waiver services and risk of hospital admissions.

OBJECTIVES: To evaluate whether type and volume of Medicaid Home- and Community-Based Services (HCBS) waiver program are associated with risk of hospitalization and whether this association changes over time. DESIGN: Prospective. SETTING: Indiana Medicaid claims data from June 2001 to December 2004. PARTICIPANTS: Medicaid recipients (N=1,354) who enrolled in the Aged and Disabled waiver program between January 2002 and June 2004. MEASUREMENTS: Time to hospital admission since enrollment in the HCBS waiver program, adjusted for demographics, comorbidities, prior use of health services, and volume of HCBS received, including attendant care, homemaking, and home-delivered meals. RESULTS: A greater volume of attendant care, homemaking services, and home-delivered meals was associated with a lower risk of hospitalization. This effect diminished over time for attendant care and homemaking. The risk of hospitalization for subjects receiving 5 hours of attendant care per month was 54% (hazard ratio (HR)=0.46, 95% confidence interval (CI)=0.38-0.57) lower during the first month of enrollment and 20% lower by Month 10 (HR=0.80, 95% CI=0.73-0.88) than for those receiving no attendant care. CONCLUSION: Greater volume of HCBS services was associated with lower risk of hospitalization. The findings highlight the potential importance of assessing and monitoring the volume of HCBS patients receive.