Reduced zones in the subsurface represent biogeochemically active hotspots enriched in buried organic matter and reduced metals. Within a shallow alluvial aquifer located near Rifle, CO, reduced zones control the fate and transport of uranium (U). Though an influx of dissolved oxygen (DO) would be expected to mobilize U, we report U immobilization. Groundwater U concentrations decreased following delivery of DO (21.6 mg O₂/well/h). After 23 days of DO delivery, injection of oxygenated groundwater was paused and resulted in the rebound of groundwater U concentrations to preinjection levels. When DO delivery resumed (day 51), groundwater U concentrations again decreased. The injection was halted on day 82 again and resulted in a rebound of groundwater U concentrations. DO delivery rate was increased to 54 mg O₂/well/h (day 95) whereby groundwater U concentrations increased. Planktonic cell abundance remained stable throughout the experiment, but virus-to-microbial cell ratio increased 1.8-3.4-fold with initial DO delivery, indicative of microbial activity in response to DO injection. Together, these results indicate that the redox-buffering capacity of reduced sediments can prevent U mobilization, but could be overcome as delivery rate or oxidant concentration increases, mobilizing U.

A promising strategy for increasing living donor kidney transplant (LDKT) rates is improving education about living donation for both prospective kidney transplant recipients and living donors to help overcome the proven knowledge, psychological, and socioeconomic barriers to LDKT. A recent Consensus Conference on Best Practices in Live Kidney Donation recommended that comprehensive LDKT education be made available to patients at all stages of chronic kidney disease (CKD). However, in considering how to implement this recommendation across different healthcare learning environments, the current lack of available guidance regarding how to design, deliver, and measure the efficacy of LDKT education programs is notable. In the current article, we provide an overview of how one behavior change theory, the Transtheoretical Model of Behavior Change, can guide the delivery of LDKT education for patients at various stages of CKD and readiness for LDKT. We also discuss the importance of creating educational programs for both potential kidney transplant recipients and living donors, and identify key priorities for educational research to reduce racial disparities in LDKT and increase LDKT rates.

Viruses are the most abundant biological entity on Earth and their interactions with microbial communities are recognized to influence microbial ecology and impact biogeochemical cycling in various ecosystems. While the factors that control the distribution of viruses in surface aquatic environments are well-characterized, the abundance and distribution of continental subsurface viruses with respect to microbial abundance and biogeochemical parameters have not yet been established. In order to begin to understand the factors governing virus distribution in subsurface environments, we assessed microbial cell and virus abundance in groundwater concurrent with groundwater chemistry in a uranium impacted alluvial aquifer adjoining the Colorado River near Rifle, CO. Virus abundance ranged from 8.0 × 10⁴ to 1.0 × 10⁶ mL^-1 and exceeded cell abundance in all samples (cell abundance ranged from 5.8 × 10⁴ to 6.1 × 10⁵ mL^-1). The virus to microbial cell ratio ranged from 1.1 to 8.1 and averaged 3.0 ± 1.6 with virus abundance most strongly correlated to cell abundance (Spearman's ρ = 0.73, p < 0.001). Both viruses and cells were positively correlated to dissolved organic carbon (DOC) with cells having a slightly stronger correlation (Spearman's ρ = 0.46, p < 0.05 and ρ = 0.54, p < 0.05; respectively). Groundwater uranium was also strongly correlated with DOC and virus and cell abundance (Spearman's ρ = 0.62, p < 0.05; ρ = 0.46, p < 0.05; and ρ = 0.50, p < 0.05; respectively). Together the data indicate that microbial cell and virus abundance are correlated to the geochemical conditions in the aquifer. As such local geochemical conditions likely control microbial host cell abundance which in turn controls viral abundance. Given the potential impacts of viral-mediated cell lysis such as liberation of labile organic matter from lysed cells and changes in microbial community structure, viral interactions with the microbiota should be considered in an effort to understand subsurface biogeochemical cycling and contaminant mobility.

Socioeconomic barriers can prevent successful kidney transplant (KT) but are difficult to measure efficiently in clinical settings. We created and validated an individual-level, single score Kidney Transplant Derailers Index (KTDI) and assessed its association with waitlisting and living donor KT (LDKT) rates.

Methods

The dataset included 733 patients presenting for KT evaluation in a transplant center in California. Exploratory factor analysis was used to identify socioeconomic barriers to KT (derailers) to include in the index. Potential KT derailers included health insurance, employment, financial insecurity, educational attainment, perception of neighborhood safety, access to a vehicle, having a washer/dryer, and quality of social support. Validity was tested with associations between KTDI scores and the following: (1) the Area Deprivation Index (ADI) and (2) time to KT waitlisting and LDKT.

Results

Nine derailers were retained, omitting only social support level from the original set. The KTDI was scored by summing the number of derailers endorsed (mean: 3.0; range: 0-9). Black patients had higher estimated KTDI scores than other patient groups (versus White patients, 3.8 versus 2.1; P < 0.001, effect size = 0.81). In addition, the KTDI was associated with the ADI (γ = 0.70, SE = 0.07; P < 0.001). Finally, in comparison to the lower tertile, patients in the upper and middle KTDI tertiles had lower hazard of waitlisting (upper tertile hazard ratio [HR]: 0.34, 95% confidence interval [CI]: 0.25-0.45; middle tertile HR: 0.54, 95% CI: 0.40-0.72) and receiving an LDKT (upper tertile HR: 0.15, 95% CI: 0.08-0.30; middle tertile HR: 0.35, 95% CI: 0.20-0.62). These associations remained significant when adjusting for the ADI and other patient characteristics.

Conclusions

The KTDI is a valid indicator of socioeconomic barriers to KT for individual patients that can be used to identify patients at risk for not receiving a KT.

Living donor kidney transplant is the ideal treatment option for end-stage renal disease; however, the decision to pursue living donor kidney transplant is complex and challenging. Measurement invariance of living donor kidney transplant Decisional Balance and Self-Efficacy across gender (male/female), race (Black/White), and education level (no college/college or higher) were examined using a sequential approach. Full strict invariance was found for Decisional Balance and Self-Efficacy for gender and partial strict invariance was found for Decisional Balance and Self-Efficacy across race and education level. This information will inform tailored feedback based on these constructs in future intervention studies targeting behavior change among specific demographic subgroups.

While educational interventions to increase patient motivation to pursue living donor kidney transplant have shown success in increasing living donor kidney transplant rates, there are no validated, theoretically consistent measures of Stage of Change, a measure of readiness to pursue living donor kidney transplant; Decisional Balance, a weighted assessment of living donor kidney transplant's advantages/disadvantages; and Self-Efficacy, a measure of belief that patients can pursue living donor kidney transplant in difficult circumstances. This study developed and validated measures of these three constructs. In two independent samples of kidney patients (N 1 = 279 and N 2 = 204), results showed good psychometric properties and support for their use in the assessment of living donor kidney transplant interventions.

Objective

Electronic clinical quality measures (eCQMs) rely on computer algorithms to extract data from electronic health records (EHRs). On behalf of the American College of Rheumatology (ACR), we sought to develop and test eCQMs for rheumatoid arthritis (RA).

Methods

Drawing from published ACR guidelines, a working group developed candidate RA process measures and subsequently assessed face validity through an interdisciplinary panel of health care stakeholders. A public comment period followed. Measures that passed these levels of review were electronically specified using the quality data model, which provides standard nomenclature for data elements (category, datatype, and value sets) obtained through an EHR. For each eCQM, 3 clinical sites using different EHR systems tested the scientific feasibility and validity of measures. Measures appropriate for accountability were presented for national endorsement.

Results

Expert panel validity ratings were high for all measures (median 8-9 of 9). Health system performance on the eCQMs was 53.6% for RA disease activity assessment, 69.1% for functional status assessment, 93.1% for disease-modifying antirheumatic drug (DMARD) use, and 72.8% for tuberculosis screening. Kappa statistics, which evaluated whether the eCQM validly captured data obtained from manual EHR chart review, demonstrated moderate to substantial agreement (0.54 for functional status assessment, 0.73 for tuberculosis screening, 0.84 for disease activity, and 0.85 for DMARD use).

Conclusion

Four eCQMs for RA have achieved national endorsement and are recommended for use in federal quality reporting programs. Implementation and further refinement of these measures is ongoing in the ACR's registry, the Rheumatology Informatics System for Effectiveness (RISE).

Introduction

In recent years researchers have reported deficits in the quality of care provided to patients with rheumatoid arthritis (RA), including low rates of performance on quality measures. We sought to determine the influence of a quality improvement (QI) continuing education program on rheumatologists' performance on national quality measures for RA, along with other measures aligned with National Quality Strategy priorities. Performance was assessed through baseline and post-education chart audits.

Methods

Twenty community-based rheumatologists across the United States were recruited to participate in the QI education program and chart audits. Charts were retrospectively audited before (n = 160 charts) and after (n = 160 charts) the rheumatologists participated in a series of accredited QI-focused educational activities that included private audit feedback, small-group webinars, and online- and mobile-accessible print and video activities. The charts were audited for patient demographics and the rheumatologists' documented performance on the 6 quality measures for RA included in the Physician Quality Reporting System (PQRS). In addition, charts were abstracted for documentation of patient counseling about medication benefits/risks and adherence, lifestyle modifications, and quality of life; assessment of RA medication side effects; and assessment of RA medication adherence.

Results

Mean rates of documented performance on 4 of the 6 PQRS measures for RA were significantly higher in the post-education versus baseline charts (absolute increases ranged from 9 to 24% of patient charts). In addition, after the intervention, significantly higher mean rates were observed for patient counseling about medications and quality of life, and for assessments of medication side effects and adherence (absolute increases ranged from 9 to 40% of patient charts).

Conclusion

This pragmatic study provides preliminary evidence for the positive influence of QI-focused education in helping rheumatologists improve performance on national quality measures for RA.

Objective

To highlight the opportunities and challenges of developing and implementing performance outcome measures in rheumatology for accountability purposes.

Methods

We constructed a hypothetical performance outcome measure to demonstrate the benefits and challenges of designing quality measures that assess patient outcomes. We defined the data source, measure cohort, reporting period, period at risk, measure outcome, outcome attribution, risk adjustment, reliability and validity, and reporting approach. We discussed outcome measure challenges specific to rheumatology and to fields where patients have predominantly chronic, complex, ambulatory care-sensitive conditions.

Results

Our hypothetical outcome measure was a measure of rheumatoid arthritis disease activity intended for evaluating Accountable Care Organization performance. We summarized the components, benefits, challenges, and tradeoffs between feasibility and usability. We highlighted how different measure applications, such as for rapid cycle quality improvement efforts versus pay for performance programs, require different approaches to measure development and testing. We provided a summary table of key take-home points for clinicians and policymakers.

Conclusion

Performance outcome measures are coming to rheumatology, and the most effective and meaningful measures can only be created through the close collaboration of patients, providers, measure developers, and policymakers. This study provides an overview of key issues and is intended to stimulate a productive dialogue between patients, practitioners, insurers, and government agencies regarding optimal performance outcome measure development.

Individually tailoring education over time may help more patients, especially racial/ethnic minorities, get waitlisted and pursue deceased and living donor kidney transplant (DDKT and LDKT, respectively). We enrolled 802 patients pursuing transplant evaluation at the University of California, Los Angeles Transplant Program into a randomized education trial. We compared the effectiveness of Your Path to Transplant (YPT), an individually tailored coaching and education program delivered at 4 time points, with standard of care (SOC) education on improving readiness to pursue DDKT and LDKT, transplant knowledge, taking 15 small transplant-related actions, and pursuing transplant (waitlisting or LDKT rates) over 8 months. Survey outcomes were collected prior to evaluation and at 4 and 8 months. Time to waitlisting or LDKT was assessed with at least 18 months of follow-up. At 8 months, compared to SOC, the YPT group demonstrated increased LDKT readiness (47% vs 33%, P = .003) and transplant knowledge (effect size [ES] = 0.41, P < .001). Transplant pursuit was higher in the YPT group (hazard ratio: 1.44, 95% confidence interval: 1.15-1.79, P = .002). A focused, coordinated education effort can improve transplant-seeking behaviors and waitlisting rates. ClinicalTrials.gov registration: NCT02181114.