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McElroy LM, Mohottige D, Cooper A, Sanoff S, Davis LA, Collins BH, Gordon EJ, Wang V, Boulware LE. Improving Health Equity in Living Donor Kidney Transplant: Application of an Implementation Science Framework. Transplant Proc 2024; 56:68-74. [PMID: 38184377 DOI: 10.1016/j.transproceed.2023.12.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/20/2023] [Accepted: 12/19/2023] [Indexed: 01/08/2024]
Abstract
BACKGROUND Interventions to improve racial equity in access to living donor kidney transplants (LDKT) have focused primarily on patients, ignoring the contributions of clinicians, transplant centers, and health system factors. Obtaining access to LDKT is a complex, multi-step process involving patients, their families, clinicians, and health system functions. An implementation science framework can help elucidate multi-level barriers to achieving racial equity in LDKT and guide the implementation of interventions targeted at all levels. METHODS We adopted the Pragmatic Robust Implementation and Sustainability Model (PRISM), an implementation science framework for racial equity in LDKT. The purpose was to provide a guide for assessment, inform intervention design, and support planning for the implementation of interventions. RESULTS We applied 4 main PRISM domains to racial equity in LDKT: Organizational Characteristics, Program Components, External Environment, and Patient Characteristics. We specified elements within each domain that consider perspectives of the health system, transplant center, clinical staff, and patients. CONCLUSION The applied PRISM framework provides a foundation for the examination of multi-level influences across the entirety of LDKT care. Researchers, quality improvement staff, and clinicians can use the applied PRISM framework to guide the assessment of inequities, support collaborative intervention development, monitor intervention implementation, and inform resource allocation to improve equity in access to LDKT.
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Affiliation(s)
- Lisa M McElroy
- Department of Surgery, Duke University, Durham, North Carolina; Department of Population Health Sciences, Duke University, Durham, North Carolina.
| | | | - Alexandra Cooper
- Social Science Research Institute, Duke University, Durham, North Carolina
| | - Scott Sanoff
- Department of Medicine, Duke University, Durham, North Carolina
| | - LaShara A Davis
- Department of Surgery and J.C. Walter Jr. Transplant Center, Houston Methodist Hospital, Houston, Texas
| | | | - Elisa J Gordon
- Department of Surgery, Vanderbilt University, Nashville, Tennessee
| | - Virginia Wang
- Department of Population Health Sciences, Duke University, Durham, North Carolina; Department of Medicine, Duke University, Durham, North Carolina
| | - L Ebony Boulware
- Department of Population Health Sciences, Duke University, Durham, North Carolina; Department of Medicine, Duke University, Durham, North Carolina
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Platt A, Wilson J, Hall R, Ephraim PL, Morton S, Shafi T, Weiner DE, Boulware LE, Pendergast J, Scialla JJ. Comparative Effectiveness of Alternative Treatment Approaches to Secondary Hyperparathyroidism in Patients Receiving Maintenance Hemodialysis: An Observational Trial Emulation. Am J Kidney Dis 2024; 83:58-70. [PMID: 37690631 PMCID: PMC10919553 DOI: 10.1053/j.ajkd.2023.05.016] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2022] [Revised: 05/15/2023] [Accepted: 05/23/2023] [Indexed: 09/12/2023]
Abstract
RATIONALE & OBJECTIVE Optimal approaches to treat secondary hyperparathyroidism (SHPT) in patients on maintenance hemodialysis (HD) have yet to be established in randomized controlled trials (RCTs). STUDY DESIGN Two observational clinical trial emulations. SETTING & PARTICIPANTS Both emulations included adults receiving in-center HD from a national dialysis organization. The patients who had SHPT in the period between 2009 and 2014, were insured for≥180 days by Medicare as primary payer, and did not have contraindications or poor health status limiting theoretical trial participation. EXPOSURE The parathyroid hormone (PTH) Target Trial emulation included patients with new-onset SHPT (first PTH 300-600pg/mL), with 2 arms defined as up-titration of either vitamin D sterols or cinacalcet within 30 days (lower target) or no up-titration (higher target). The Agent Trial emulation included patients with a PTH≥300 pg/mL while on≥6μg weekly of vitamin D sterol (paricalcitol equivalent dose) and no prior history of cinacalcet. The 2 arms were defined by the first dose or agent change within 30 days (vitamin D-favoring [vitamin-D was up-titrated] vs cinacalcet-favoring [cinacalcet was added] vs nondefined [neither applies]). Multiple trials per patient were allowed in trial 2. OUTCOME The primary outcome was all-cause death over 24 months; secondary outcomes included cardiovascular (CV) hospitalization or the composite of CV hospitalization or death. ANALYTICAL APPROACH Pooled logistic regression. RESULTS There were 1,152 patients in the PTH Target Trial (635 lower target and 517 higher target). There were 2,726 unique patients with 6,727 patient trials in the Agent Trial (6,268 vitamin D-favoring trials and 459 cinacalcet-favoring trials). The lower PTH target approach was associated with reduced adjusted hazard of death (HR, 0.71 [95% CI, 0.52-0.93]), CV hospitalization (HR, 0.78 [95% CI, 0.63-0.98]), and their composite (HR, 0.74 [95% CI, 0.61-0.89]). The cinacalcet-favoring approach demonstrated lower adjusted hazard of death compared to the vitamin D-favoring approach (HR, 0.79 [95% CI, 0.62-0.99]), but not of CV hospitalization or the composite outcome. LIMITATIONS Potential for residual confounding; low use of cinacalcet with low power. CONCLUSIONS SHPT management that is focused on lower PTH targets may lower mortality and CV disease in patients receiving HD. These findings should be confirmed in a pragmatic randomized trial. PLAIN-LANGUAGE SUMMARY Optimal approaches to treat secondary hyperparathyroidism (SHPT) have not been established in randomized controlled trials. Data from a national dialysis organization was used to identify patients with SHPT in whom escalated treatment may be indicated. The approach to treatment was defined based on observed upward titration of SHPT-controlling medications: earlier titration (lower target) versus delayed titration (higher target); and the choice of medication (cinacalcet vs vitamin D sterols). In the first trial emulation, we estimated a 29% lower rate of death and 26% lower rate of cardiovascular disease or death for patients managed with a lower versus higher target approach. Cinacalcet versus vitamin D-favoring approaches were not consistently associated with outcomes in the second trial emulation. This observational study suggests the need for additional clinical trials of SHPT treatment intensity.
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Affiliation(s)
- Alyssa Platt
- Department of Biostatistics and Bioinformatics, School of Medicine, Duke University, Durham, North Carolina
| | - Jonathan Wilson
- Department of Biostatistics and Bioinformatics, School of Medicine, Duke University, Durham, North Carolina
| | - Rasheeda Hall
- Department of Medicine, School of Medicine, Duke University, Durham, North Carolina
| | - Patti L Ephraim
- Feinstein Institute for Medical Research, Northwell Health, New York, New York
| | - Sarah Morton
- Department of Biostatistics and Bioinformatics, School of Medicine, Duke University, Durham, North Carolina
| | - Tariq Shafi
- Department of Medicine, Houston Methodist Hospital, Houston, Texas
| | - Daniel E Weiner
- Department of Medicine, Tufts Medical Center, Boston, Massachusetts
| | - L Ebony Boulware
- School of Medicine, Wake Forest University, Winston-Salem, North Carolina
| | - Jane Pendergast
- Department of Biostatistics and Bioinformatics, School of Medicine, Duke University, Durham, North Carolina; Department of Medicine, School of Medicine, Duke University, Durham, North Carolina
| | - Julia J Scialla
- Departments of Medicine and Public Health Sciences, University of Virginia School of Medicine, Charlottesville, Virginia.
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Mohottige D, Boulware LE. Uncovering the Role of Kidney Disease and Its Care in the US Maternal Health Equity Crisis. JAMA Netw Open 2023; 6:e2346239. [PMID: 38064221 DOI: 10.1001/jamanetworkopen.2023.46239] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/18/2023] Open
Affiliation(s)
- Dinushika Mohottige
- Institute for Health Equity Research, Department of Population Health, Icahn School of Medicine at Mount Sinai, New York, New York
- Barbara T. Murphy Division of Nephrology, Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, New York
- Division of Data-Driven and Digital Medicine, Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, New York
| | - L Ebony Boulware
- Wake Forest University School of Medicine, Winston Salem, North Carolina
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Mohottige D, Davenport CA, Bhavsar N, Schappe T, Lyn MJ, Maxson P, Johnson F, Planey AM, McElroy LM, Wang V, Cabacungan AN, Ephraim P, Lantos P, Peskoe S, Lunyera J, Bentley-Edwards K, Diamantidis CJ, Reich B, Boulware LE. Residential Structural Racism and Prevalence of Chronic Health Conditions. JAMA Netw Open 2023; 6:e2348914. [PMID: 38127347 PMCID: PMC10739116 DOI: 10.1001/jamanetworkopen.2023.48914] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/17/2023] [Accepted: 11/01/2023] [Indexed: 12/23/2023] Open
Abstract
Importance Studies elucidating determinants of residential neighborhood-level health inequities are needed. Objective To quantify associations of structural racism indicators with neighborhood prevalence of chronic kidney disease (CKD), diabetes, and hypertension. Design, Setting, and Participants This cross-sectional study used public data (2012-2018) and deidentified electronic health records (2017-2018) to describe the burden of structural racism and the prevalence of CKD, diabetes, and hypertension in 150 residential neighborhoods in Durham County, North Carolina, from US census block groups and quantified their associations using bayesian models accounting for spatial correlations and residents' age. Data were analyzed from January 2021 to May 2023. Exposures Global (neighborhood percentage of White residents, economic-racial segregation, and area deprivation) and discrete (neighborhood child care centers, bus stops, tree cover, reported violent crime, impervious areas, evictions, election participation, income, poverty, education, unemployment, health insurance coverage, and police shootings) indicators of structural racism. Main Outcomes and Measures Outcomes of interest were neighborhood prevalence of CKD, diabetes, and hypertension. Results A total of 150 neighborhoods with a median (IQR) of 1708 (1109-2489) residents; median (IQR) of 2% (0%-6%) Asian residents, 30% (16%-56%) Black residents, 10% (4%-20%) Hispanic or Latino residents, 0% (0%-1%) Indigenous residents, and 44% (18%-70%) White residents; and median (IQR) residential income of $54 531 ($37 729.25-$78 895.25) were included in analyses. In models evaluating global indicators, greater burden of structural racism was associated with greater prevalence of CKD, diabetes, and hypertension (eg, per 1-SD decrease in neighborhood White population percentage: CKD prevalence ratio [PR], 1.27; 95% highest density interval [HDI], 1.18-1.35; diabetes PR, 1.43; 95% HDI, 1.37-1.52; hypertension PR, 1.19; 95% HDI, 1.14-1.25). Similarly in models evaluating discrete indicators, greater burden of structural racism was associated with greater neighborhood prevalence of CKD, diabetes, and hypertension (eg, per 1-SD increase in reported violent crime: CKD PR, 1.15; 95% HDI, 1.07-1.23; diabetes PR, 1.20; 95% HDI, 1.13-1.28; hypertension PR, 1.08; 95% HDI, 1.02-1.14). Conclusions and Relevance This cross-sectional study found several global and discrete structural racism indicators associated with increased prevalence of health conditions in residential neighborhoods. Although inferences from this cross-sectional and ecological study warrant caution, they may help guide the development of future community health interventions.
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Affiliation(s)
- Dinushika Mohottige
- Institute for Health Equity Research, Department of Population Health, Icahn School of Medicine at Mount Sinai, New York, New York
- Barbara T. Murphy Division of Nephrology, Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, New York
| | | | - Nrupen Bhavsar
- Center for Community and Population Health Improvement, Duke Clinical and Translational Science Institute, Duke University, Durham, North Carolina
- Division of General Internal Medicine, Department of Medicine, Duke University, Durham, North Carolina
| | - Tyler Schappe
- Department of Biostatistics and Bioinformatics, Duke University, Durham, North Carolina
| | - Michelle J. Lyn
- Center for Community and Population Health Improvement, Duke Clinical and Translational Science Institute, Duke University, Durham, North Carolina
- Department of Family Medicine and Community Health, Duke University, Durham, North Carolina
| | - Pamela Maxson
- Center for Community and Population Health Improvement, Duke Clinical and Translational Science Institute, Duke University, Durham, North Carolina
| | - Fred Johnson
- Center for Community and Population Health Improvement, Duke Clinical and Translational Science Institute, Duke University, Durham, North Carolina
- Department of Family Medicine and Community Health, Duke University, Durham, North Carolina
| | - Arrianna M. Planey
- Department of Health Policy and Management, Gillings School of Global Public Health, Chapel Hill, North Carolina
- Cecil G. Sheps Center for Health Services Research, University of North Carolina at Chapel Hill, Chapel Hill
| | - Lisa M. McElroy
- Division of Abdominal Transplant Surgery, Department of Surgery, Duke University, Durham, North Carolina
- Department of Population Health, Duke University, Durham, North Carolina
| | - Virginia Wang
- Division of General Internal Medicine, Department of Medicine, Duke University, Durham, North Carolina
- Department of Population Health, Duke University, Durham, North Carolina
| | - Ashley N. Cabacungan
- Division of General Internal Medicine, Department of Medicine, Duke University, Durham, North Carolina
| | - Patti Ephraim
- Feinstein Institutes for Medical Research, Northwell Health, Manhasset, New York
| | - Paul Lantos
- Duke Global Health Institute, Duke University, Durham, North Carolina
- Department of Pediatrics, Duke University, Durham, North Carolina
- Division of General Internal Medicine, Department of Medicine, Duke University, Durham, North Carolina
| | - Sarah Peskoe
- Department of Biostatistics and Bioinformatics, Duke University, Durham, North Carolina
| | - Joseph Lunyera
- Division of General Internal Medicine, Department of Medicine, Duke University, Durham, North Carolina
| | - Keisha Bentley-Edwards
- Duke Global Health Institute, Duke University, Durham, North Carolina
- Duke Cancer Institute, Duke University, Durham, North Carolina
- Samuel DuBois Cook Center on Social Equity, Duke University, Durham, North Carolina
| | - Clarissa J. Diamantidis
- Division of General Internal Medicine, Department of Medicine, Duke University, Durham, North Carolina
- Division of Nephrology, Department of Medicine, Duke University, Durham, North Carolina
| | - Brian Reich
- Department of Statistics, North Carolina State University, Raleigh
| | - L. Ebony Boulware
- Wake Forest University School of Medicine, Winston Salem, North Carolina
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Boulware LE. Solving the Kidney Transplant Conundrum Through Systems Thinking. JAMA Intern Med 2023; 183:1376-1377. [PMID: 37922153 DOI: 10.1001/jamainternmed.2023.5818] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/05/2023]
Affiliation(s)
- L Ebony Boulware
- Wake Forest University School of Medicine, Winston-Salem, North Carolina
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McElroy LM, Schappe T, Mohottige D, Davis L, Peskoe SB, Wang V, Pendergast J, Boulware LE. Racial Equity in Living Donor Kidney Transplant Centers, 2008-2018. JAMA Netw Open 2023; 6:e2347826. [PMID: 38100105 PMCID: PMC10724764 DOI: 10.1001/jamanetworkopen.2023.47826] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/30/2023] [Accepted: 10/30/2023] [Indexed: 12/18/2023] Open
Abstract
Importance It is unclear whether center-level factors are associated with racial equity in living donor kidney transplant (LDKT). Objective To evaluate center-level factors and racial equity in LDKT during an 11-year time period. Design, Setting, and Participants A retrospective cohort longitudinal study was completed in February 2023, of US transplant centers with at least 12 annual LDKTs from January 1, 2008, to December 31, 2018, identified in the Health Resources Services Administration database and linked to the US Renal Data System and the Scientific Registry of Transplant Recipients. Main Outcomes and Measures Observed and model-based estimated Black-White mean LDKT rate ratios (RRs), where an RR of 1 indicates racial equity and values less than 1 indicate a lower rate of LDKT of Black patients compared with White patients. Estimated yearly best-case center-specific LDKT RRs between Black and White individuals, where modifiable center characteristics were set to values that would facilitate access to LDKT. Results The final cohorts of patients included 394 625 waitlisted adults, of whom 33.1% were Black and 66.9% were White, and 57 222 adult LDKT recipients, of whom 14.1% were Black and 85.9% were White. Among 89 transplant centers, estimated yearly center-level RRs between Black and White individuals accounting for center and population characteristics ranged from 0.0557 in 2008 to 0.771 in 2018. The yearly median RRs ranged from 0.216 in 2016 to 0.285 in 2010. Model-based estimations for the hypothetical best-case scenario resulted in little change in the minimum RR (from 0.0557 to 0.0549), but a greater positive shift in the maximum RR from 0.771 to 0.895. Relative to the observed 582 LDKT in Black patients and 3837 in White patients, the 2018 hypothetical model estimated an increase of 423 (a 72.7% increase) LDKTs for Black patients and of 1838 (a 47.9% increase) LDKTs for White patients. Conclusions and Relevance In this cohort study of patients with kidney failure, no substantial improvement occurred over time either in the observed or the covariate-adjusted estimated RRs. Under the best-case hypothetical estimations, modifying centers' participation in the paired exchange and voucher programs and increased access to public insurance may contribute to improved racial equity in LDKT. Additional work is needed to identify center-level and program-specific strategies to improve racial equity in access to LDKT.
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Affiliation(s)
- Lisa M. McElroy
- Department of Surgery, Duke University School of Medicine, Durham, North Carolina
| | - Tyler Schappe
- Department of Biostatistics and Bioinformatics, Duke University School of Medicine, Durham, North Carolina
| | - Dinushika Mohottige
- Institute of Health Equity Research and Barbara T. Murphy Division of Nephrology, Icahn School of Medicine at Mount Sinai, New York, New York
| | - LaShara Davis
- Department of Surgery and J. C. Walter Jr Transplant Center, Houston Methodist Hospital, Houston, Texas
| | - Sarah B. Peskoe
- Department of Biostatistics and Bioinformatics, Duke University School of Medicine, Durham, North Carolina
| | - Virginia Wang
- Department of Population Health Sciences, Duke University School of Medicine, Durham, North Carolina
| | - Jane Pendergast
- Department of Biostatistics and Bioinformatics, Duke University School of Medicine, Durham, North Carolina
| | - L. Ebony Boulware
- Wake Forest University School of Medicine, Winston Salem, North Carolina
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Harding CC, Ephraim PL, Davenport CA, McElroy LM, Mohottige D, DePasquale N, Lunyera J, Strigo TS, Pounds IA, Riley J, Alkon A, Ellis M, Boulware LE. Association of Age and Gender With Concerns About Live Donor Kidney Transplantation Among Black Individuals. Transplant Proc 2023; 55:2403-2409. [PMID: 37945446 PMCID: PMC10872540 DOI: 10.1016/j.transproceed.2023.10.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2023] [Accepted: 10/04/2023] [Indexed: 11/12/2023]
Abstract
Black individuals are less likely to receive live donor kidney transplantation (LDKT) compared to others. This may be partly related to their concerns about LDKT, which can vary based on age and gender. We conducted a cross-sectional, secondary analysis of the baseline enrollment data from the Talking about Living Kidney Donation Support trial, which studied the effectiveness of social workers and financial interventions on activation towards LDKT among 300 Black individuals from a deceased donor waiting list. We assessed concerns regarding the LDKT process, including their potential need for postoperative social support, future reproductive potential, recipient and donor money matters, recipient and donor safety, and interpersonal concerns. Answers ranged from 0 ("not at all concerned") to 10 ("extremely concerned"). We described and compared participants' concerns both overall and stratified by age (≥45 years old vs <45 years old) and self-reported gender ("male" versus "female"). The participants' top concerns were donor safety (median [IQR] score 10 [5-10]), recipient safety (5 [0-10]), money matters (5 [0-9]), and guilt/indebtedness (5 [0-9]). Younger females had statistically significantly higher odds of being concerned about future reproductive potential (odds ratio [OR] 3.77, 95% CI 2.77, 4.77), and older males had statistically higher mean concern about postoperative social support (OR 1.79, 95% CI 0.19, 3.38). Interventions to improve rates of LDKT among Black individuals should include education and counseling about the safety of LDKT for both recipients and donors, reproductive counseling for female LDKT candidates of childbearing age, and addressing older males' needs for increased social support.
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Affiliation(s)
- Ceshae C Harding
- General Internal Medicine, Department of Medicine, Duke University School of Medicine, Durham, North Carolina
| | - Patti L Ephraim
- Institute of Health System Science, Feinstein Institute for Medical Research, Northwell Health, New York, New York
| | - Clemontina A Davenport
- Department of Biostatistics and Bioinformatics, Duke University School of Medicine, Durham, North Carolina
| | - Lisa M McElroy
- Department of Surgery, Duke University Medical Center, Durham, North Carolina
| | - Dinushika Mohottige
- Institute for Health Equity Research, Department of Population Health, Icahn School of Medicine at Mount Sinai, New York, New York; Barbara T. Murphy Division of Nephrology, Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, New York
| | - Nicole DePasquale
- General Internal Medicine, Department of Medicine, Duke University School of Medicine, Durham, North Carolina
| | - Joseph Lunyera
- General Internal Medicine, Department of Medicine, Duke University School of Medicine, Durham, North Carolina
| | - Tara S Strigo
- Wake Forest University School of Medicine, Winston-Salem, North Carolina
| | - Iris A Pounds
- General Internal Medicine, Department of Medicine, Duke University School of Medicine, Durham, North Carolina
| | - Jennie Riley
- General Internal Medicine, Department of Medicine, Duke University School of Medicine, Durham, North Carolina
| | - Aviel Alkon
- General Internal Medicine, Department of Medicine, Duke University School of Medicine, Durham, North Carolina
| | - Matthew Ellis
- Division of Nephrology, Department of Medicine, Duke University School of Medicine, Durham, North Carolina
| | - L Ebony Boulware
- Wake Forest University School of Medicine, Winston-Salem, North Carolina.
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Benson KRK, Diamantidis CJ, Davenport CA, Sandler RS, Boulware LE, Mohottige D. Racial Differences in Over-the-Counter Non-steroidal Anti-inflammatory Drug Use Among Individuals at Risk of Adverse Cardiovascular Events. J Racial Ethn Health Disparities 2023:10.1007/s40615-023-01743-x. [PMID: 37594625 DOI: 10.1007/s40615-023-01743-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/23/2023] [Revised: 07/29/2023] [Accepted: 08/02/2023] [Indexed: 08/19/2023]
Abstract
PURPOSE Black Americans are disproportionately affected by adverse cardiovascular events (ACEs). Over-the-counter (OTC) non-steroidal anti-inflammatory drugs (NSAIDs) confer increased risk for ACEs, yet racial differences in the use of these products remain understudied. This study sought to determine racial differences in OTC NSAID and high-potency powdered NSAID (HPP-NSAID) use. METHODS AND MATERIALS This retrospective analysis examined participants at risk of ACEs (defined as those with self-reported hypertension, diabetes, heart disease, or smoking history ≥ 20 years) from the North Carolina Colon Cancer Study, a population-based case-control study. We used multivariable logistic regression models to assess the independent associations of race with any OTC NSAID use, HPP-NSAID use, and regular use of these products. RESULTS Of the 1286 participants, 585 (45%) reported Black race and 701 (55%) reported non-Black race. Overall, 665 (52%) reported any OTC NSAID use and 204 (16%) reported HPP-NSAID use. Compared to non-Black individuals, Black individuals were more likely to report both any OTC NSAID use (57% versus 48%) and HPP-NSAID use (22% versus 11%). In multivariable analyses, Black (versus non-Black) race was independently associated with higher odds of both NSAID use (OR 1.4, 95% CI (1.1, 1.8)) and HPP-NSAID use (OR 1.8 (1.3, 2.5)). CONCLUSIONS Black individuals at risk of ACEs had higher odds of any OTC NSAID and HPP-NSAID use than non-Black individuals, after controlling for pain and socio-economic status. Further research is necessary to identify potential mechanisms driving this increased use.
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Affiliation(s)
- Kathryn R K Benson
- Department of Medicine, Division of General Internal Medicine, Duke University, Durham, NC, USA
- Center for Community and Population Health Improvement, Duke Clinical and Translational Science Institute, Duke University, Durham, NC, USA
| | - Clarissa J Diamantidis
- Department of Medicine, Division of General Internal Medicine, Duke University, Durham, NC, USA
- Center for Community and Population Health Improvement, Duke Clinical and Translational Science Institute, Duke University, Durham, NC, USA
- Department of Population Health Sciences, Duke University, Durham, NC, USA
- Department of Medicine, Division of Nephrology, Duke University, Durham, NC, USA
| | - Clemontina A Davenport
- Center for Community and Population Health Improvement, Duke Clinical and Translational Science Institute, Duke University, Durham, NC, USA
- Department of Biostatistics and Bioinformatics, Duke University, Durham, NC, USA
| | - Robert S Sandler
- Center for Community and Population Health Improvement, Duke Clinical and Translational Science Institute, Duke University, Durham, NC, USA
- Department of Medicine, Division of Gastroenterology and Hepatology, University of North Carolina, Chapel Hill, NC, USA
| | - L Ebony Boulware
- Department of Medicine, Division of General Internal Medicine, Duke University, Durham, NC, USA
- Center for Community and Population Health Improvement, Duke Clinical and Translational Science Institute, Duke University, Durham, NC, USA
- Wake Forest University School of Medicine, Winston-Salem, NC, USA
| | - Dinushika Mohottige
- Center for Community and Population Health Improvement, Duke Clinical and Translational Science Institute, Duke University, Durham, NC, USA.
- Department of Population Health, Icahn School of Medicine at Mount Sinai, Institute for Health Equity Research, 1425 Madison Avenue Floor 2, New York, NY, 10029, USA.
- Department of Medicine, Icahn School of Medicine at Mount Sinai, Barbara T. Murphy Division of Nephrology, 1425 Madison Avenue Floor 2, New York, NY, 10029, USA.
- Division of Data-Driven and Digital Medicine (D3M), Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
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Pomann GM, Truong T, Boulos M, Boulware LE, Brouwer RN, Curtis LH, Kapphahn K, Khalatbari S, McKeel J, Messinger S, O’Hara R, Pencina MJ, Samsa GP, Spino C, Zidanyue Yang L, Desai M. Needles in a Haystack: Finding Qualitative and Quantitative Collaborators in Academic Medical Centers. Acad Med 2023; 98:889-895. [PMID: 36940408 PMCID: PMC10440235 DOI: 10.1097/acm.0000000000005212] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/18/2023]
Abstract
Translational research is a data-driven process that involves transforming scientific laboratory- and clinic-based discoveries into products and activities with real-world impact to improve individual and population health. Successful execution of translational research requires collaboration between clinical and translational science researchers, who have expertise in a wide variety of domains across the field of medicine, and qualitative and quantitative scientists, who have specialized methodologic expertise across diverse methodologic domains. While many institutions are working to build networks of these specialists, a formalized process is needed to help researchers navigate the network to find the best match and to track the navigation process to evaluate an institution's unmet collaborative needs. In 2018, a novel analytic resource navigation process was developed at Duke University to connect potential collaborators, leverage resources, and foster a community of researchers and scientists. This analytic resource navigation process can be readily adopted by other academic medical centers. The process relies on navigators with broad qualitative and quantitative methodologic knowledge, strong communication and leadership skills, and extensive collaborative experience. The essential elements of the analytic resource navigation process are as follows: (1) strong institutional knowledge of methodologic expertise and access to analytic resources, (2) deep understanding of research needs and methodologic expertise, (3) education of researchers on the role of qualitative and quantitative scientists in the research project, and (4) ongoing evaluation of the analytic resource navigation process to inform improvements. Navigators help researchers determine the type of expertise needed, search the institution to find potential collaborators with that expertise, and document the process to evaluate unmet needs. Although the navigation process can create a basis for an effective solution, some challenges remain, such as having resources to train navigators, comprehensively identifying all potential collaborators, and keeping updated information about resources as methodologists join and leave the institution.
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Affiliation(s)
- Gina-Maria Pomann
- Biostatistics, Epidemiology, and Research Design (BERD) Methods Core, Department of Biostatistics and Bioinformatics, Duke University School of Medicine, Durham, North Carolina
| | - Tracy Truong
- Biostatistics, Epidemiology, and Research Design (BERD) Methods Core, Department of Biostatistics and Bioinformatics, Duke University School of Medicine, Durham, North Carolina
| | - Mary Boulos
- BERD Core, Quantitative Sciences Unit, Department of Medicine, Stanford University School of Medicine, Palo Alto, California
| | - L. Ebony Boulware
- Duke Clinical and Translational Science Institute, Duke University School of Medicine, Durham, North Carolina
| | - Rebecca N. Brouwer
- Duke Clinical and Translational Science Institute, Duke University School of Medicine, Durham, North Carolina
| | - Lesley H. Curtis
- Department of Population Health Sciences, Duke University School of Medicine, Durham, North Carolina
| | - Kristopher Kapphahn
- BERD Core, Quantitative Sciences Unit, Department of Medicine, Stanford University School of Medicine, Palo Alto, California
| | - Shokoufeh Khalatbari
- Biostatistics Program, Michigan Institute for Clinical and Health Research, University of Michigan, Ann Arbor, Michigan
| | - Julie McKeel
- Duke Clinical and Translational Science Institute, Duke University School of Medicine, Durham, North Carolina
| | - Shari Messinger
- BERD Program, Miami Clinical and Translational Science Institute, University of Miami, Miami, Florida
| | - Ruth O’Hara
- Stanford University School of Medicine, Palo Alto, California
| | - Michael J. Pencina
- Department of Biostatistics and Bioinformatics, Duke University School of Medicine, Durham, North Carolina
| | - Greg P. Samsa
- Department of Biostatistics and Bioinformatics, Duke University School of Medicine, Durham, North Carolina
| | - Cathie Spino
- Biostatistics Program, Michigan Institute for Clinical and Health Research, University of Michigan, Ann Arbor, Michigan
| | - Lexie Zidanyue Yang
- Biostatistics, Epidemiology, and Research Design (BERD) Methods Core, Department of Biostatistics and Bioinformatics, Duke University School of Medicine, Durham, North Carolina
| | - Manisha Desai
- BERD Core, Quantitative Sciences Unit, Department of Medicine, Stanford University School of Medicine, Palo Alto, California
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Hall JE, Boulware LE. Combating Racism Through Research, Training, Practice, and Public Health Policies. Prev Chronic Dis 2023; 20:E54. [PMID: 37384830 DOI: 10.5888/pcd20.230167] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/01/2023] Open
Affiliation(s)
- Jeffrey E Hall
- Office of Health Equity, Centers for Disease Control and Prevention, 4770 Buford Hwy, MS TW-3 Atlanta, Georgia 30341
| | - L Ebony Boulware
- Wake Forest University School of Medicine, Winston-Salem, North Carolina
- Advocate Health, Winston-Salem, North Carolina
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Egede LE, Ruiz R, Mosley-Johnson E, Aguilar-Gaxiola SA, Corbie GM, Wilkins CH, Vitale A, Boulware LE. Laying the groundwork to make diversity, equity, and inclusion front and center in clinical and translational research. J Clin Transl Sci 2023; 7:e95. [PMID: 37125065 PMCID: PMC10130834 DOI: 10.1017/cts.2023.524] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2023] [Accepted: 03/30/2023] [Indexed: 05/02/2023] Open
Affiliation(s)
- Leonard E. Egede
- Division of General Internal Medicine, Medical College of Wisconsin, Milwaukee, WI, USA
- Center for Advancing Population Science, Medical College of Wisconsin, Milwaukee, WI, USA
| | - Raquel Ruiz
- Duke University School of Medicine, Durham, NC, USA
| | - Elise Mosley-Johnson
- Division of General Internal Medicine, Medical College of Wisconsin, Milwaukee, WI, USA
- Center for Advancing Population Science, Medical College of Wisconsin, Milwaukee, WI, USA
| | | | - Giselle M. Corbie
- University of North Carolina Chapel Hill School of Medicine, Chapel Hill, NC, USA
| | | | - Alfred Vitale
- University of Rochester Clinical and Translational Science Institute, Rochester, NY, USA
- Center for Leading Innovation and Collaboration (CLIC), CTSA Program Coordinating Center, Rochester, NY, USA
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12
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Mohottige D, Purnell TS, Boulware LE. Redressing the Harms of Race-Based Kidney Function Estimation. JAMA 2023; 329:881-882. [PMID: 36848168 DOI: 10.1001/jama.2023.2154] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 03/01/2023]
Abstract
This Viewpoint emphasizes the urgency of abolishing race-based medical practices and explains how they have unjustly contributed to racial inequities in clinical care and health outcomes.
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Affiliation(s)
- Dinushika Mohottige
- Institute for Health Equity Research, Department of Population Health, Icahn School of Medicine at Mount Sinai, New York, New York
- Barbara T. Murphy Division of Nephrology, and Division of Data-Driven and Digital Medicine (D3M), Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, New York
| | - Tanjala S Purnell
- Department of Epidemiology, Department of Health Policy and Management, and Department of Health Behavior and Society, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland
- Department of Surgery, Johns Hopkins School of Medicine, Baltimore, Maryland
| | - L Ebony Boulware
- Wake Forest University School of Medicine, Winston-Salem, North Carolina
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Park C, Schappe T, Peskoe S, Mohottige D, Chan NW, Bhavsar NA, Boulware LE, Pendergast J, Kirk AD, McElroy LM. A comparison of deprivation indices and application to transplant populations. Am J Transplant 2023; 23:377-386. [PMID: 36695687 DOI: 10.1016/j.ajt.2022.11.018] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/26/2022] [Revised: 10/25/2022] [Accepted: 11/26/2022] [Indexed: 01/13/2023]
Abstract
The choice of deprivation index can influence conclusions drawn regarding the extent of deprivation within a community and the identification of the most deprived communities in the United States. This study aimed to determine the degree of correlation among deprivation indices commonly used to characterize transplant populations. We used a retrospective cohort consisting of adults listed for liver or kidney transplants between 2008 and 2018 to compare 4 deprivation indices: neighborhood deprivation index, social deprivation index (SDI), area deprivation index, and social vulnerability index. Pairwise correlation between deprivation indices by transplant referral regions was measured using Spearman correlations of population-weighted medians and upper quartiles. In total, 52 individual variables were used among the 4 deprivation indices with 25% overlap. For both organs, the correlation between the population-weighted 75th percentile of the deprivation indices by transplant referral region was highest between SDI and social vulnerability index (liver and kidney, 0.93) and lowest between area deprivation index and SDI (liver, 0.19 and kidney, 0.15). The choice of deprivation index affects the applicability of research findings across studies examining the relationship between social risk and clinical outcomes. Appropriate application of these measures to transplant populations requires careful index selection based on the intended use and included variable relevance.
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Affiliation(s)
- Christine Park
- Division of Abdominal Transplant, Department of Surgery, Duke University, Durham, NC, USA
| | - Tyler Schappe
- Department of Biostatistics and Bioinformatics, Duke University, Durham, NC, USA
| | - Sarah Peskoe
- Department of Biostatistics and Bioinformatics, Duke University, Durham, NC, USA
| | - Dinushika Mohottige
- Division of Nephrology, Department of Internal Medicine, Duke University, Duke University, Durham, NC, USA
| | - Norine W Chan
- Division of Abdominal Transplant, Department of Surgery, Duke University, Durham, NC, USA
| | - Nrupen A Bhavsar
- Department of Biostatistics and Bioinformatics, Duke University, Durham, NC, USA; Division of General Internal Medicine, Department of Medicine, Duke University, Duke University, Durham, NC, USA
| | - L Ebony Boulware
- Division of General Internal Medicine, Department of Medicine, Duke University, Duke University, Durham, NC, USA
| | - Jane Pendergast
- Department of Biostatistics and Bioinformatics, Duke University, Durham, NC, USA
| | - Allan D Kirk
- Division of Abdominal Transplant, Department of Surgery, Duke University, Durham, NC, USA
| | - Lisa M McElroy
- Division of Abdominal Transplant, Department of Surgery, Duke University, Durham, NC, USA; Department of Population Health Sciences, Duke University, Duke University, Durham, NC, USA.
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Lunyera J, Clare RM, Chiswell K, Scialla JJ, Pun PH, Thomas KL, Starks MA, Mohottige D, Boulware LE, Diamantidis CJ. Association of Acute Kidney Injury and Cardiovascular Disease Following Percutaneous Coronary Intervention: Assessment of Interactions by Race, Diabetes, and Kidney Function. Am J Kidney Dis 2023; 81:707-716. [PMID: 36822398 DOI: 10.1053/j.ajkd.2022.12.013] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2022] [Accepted: 12/14/2022] [Indexed: 02/25/2023]
Abstract
RATIONALE & OBJECTIVE Black patients and those with diabetes or reduced kidney function experience a disproportionate burden of acute kidney injury (AKI) and cardiovascular events. However, whether these factors modify the association between AKI and cardiovascular events following percutaneous coronary intervention (PCI) is unknown and was the focus of this study. STUDY DESIGN Observational cohort. SETTING & PARTICIPANTS Patients who underwent PCI at Duke between January 1, 2003, and December 31, 2013, with data available in the Duke Databank for Cardiovascular Disease. EXPOSURES AKI, defined as ≥1.5-fold relative elevation in serum creatinine within seven days from a reference value ascertained 30 days before PCI, or a 0.3 mg/dl increase from the reference value within 48 hours. OUTCOMES A composite of all-cause death, myocardial infarction, stroke, or revascularization during the first year following PCI. ANALYTIC APPROACH Cox regression models adjusted for potential confounders, and with interaction terms between AKI and race, diabetes, or baseline eGFR. RESULTS Among 9422 patients, 9% (n=865) developed AKI and the primary composite outcome occurred in 21% (n=2017). AKI was associated with a nearly 2-fold higher risk of the primary outcome (adjusted hazards ratio [HR], 1.94; 95% confidence interval (CI), 1.71 to 2.20). The association between AKI and cardiovascular risk did not significantly differ by race (P-interaction, 0.4), diabetes, (P-interaction, 0.06) or eGFR (P-interaction, 0.2). However, Black race and severely reduced eGFR, but not diabetes, each had a cumulative impact with AKI on risk for the primary outcome. Compared with White patients with no AKI as the reference, the risk for the outcome was highest in Black patients with AKI (HR, 2.27; 95% CI, 1.83 to 2.82), followed by White patients with AKI (HR, 1.87; 95% CI, 1.58 to 2.21), and least in patients of other races with AKI (HR, 1.48; 95% CI, 0.88 to 2.48). LIMITATIONS Residual confounding, including the impact of clinical care following PCI on cardiovascular outcomes of AKI. CONCLUSIONS Neither race, diabetes, nor reduced eGFR potentiated the association of AKI with cardiovascular risk, but Black patients with AKI had a qualitatively greater risk than White patients with AKI or patients of other races with AKI.
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Affiliation(s)
- Joseph Lunyera
- Division of General Internal Medicine, Department of Medicine, Duke University School of Medicine, Durham, NC.
| | - Robert M Clare
- Duke Clinical Research Institute, Department of Medicine, Duke University School of Medicine, Durham, NC
| | - Karen Chiswell
- Duke Clinical Research Institute, Department of Medicine, Duke University School of Medicine, Durham, NC
| | - Julia J Scialla
- Departments of Medicine and Public Health Sciences, University of Virginia School of Medicine, Charlottesville, VA
| | - Patrick H Pun
- Duke Clinical Research Institute, Department of Medicine, Duke University School of Medicine, Durham, NC; Division of Nephrology, Department of Medicine, Duke University School of Medicine, Durham, NC
| | - Kevin L Thomas
- Duke Clinical Research Institute, Department of Medicine, Duke University School of Medicine, Durham, NC; Division of Cardiology, Department of Medicine, Duke University School of Medicine, Durham, NC
| | - Monique A Starks
- Duke Clinical Research Institute, Department of Medicine, Duke University School of Medicine, Durham, NC; Division of Cardiology, Department of Medicine, Duke University School of Medicine, Durham, NC
| | - Dinushika Mohottige
- Division of General Internal Medicine, Department of Medicine, Duke University School of Medicine, Durham, NC; Division of Nephrology, Department of Medicine, Duke University School of Medicine, Durham, NC
| | - L Ebony Boulware
- Division of General Internal Medicine, Department of Medicine, Duke University School of Medicine, Durham, NC
| | - Clarissa J Diamantidis
- Division of General Internal Medicine, Department of Medicine, Duke University School of Medicine, Durham, NC; Division of Nephrology, Department of Medicine, Duke University School of Medicine, Durham, NC; Department of Population Health Sciences, Duke University School of Medicine, Durham, NC
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15
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Lunyera J, Davenport CA, Ephraim P, Mohottige D, Bhavsar NA, Clark-Cutaia MN, Cabacungan A, DePasquale N, Peskoe S, Boulware LE. Association of Perceived Neighborhood Health With Hypertension Self-care. JAMA Netw Open 2023; 6:e2255626. [PMID: 36763360 PMCID: PMC9918870 DOI: 10.1001/jamanetworkopen.2022.55626] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/26/2022] [Accepted: 12/22/2022] [Indexed: 02/11/2023] Open
Abstract
Importance Hypertension self-management is recommended for optimal blood pressure (BP) control, but self-identified residential contextual factors that hinder hypertension self-care are understudied. Objective To quantify perceived neighborhood health and hypertension self-care and assess interactions with the area deprivation index (ADI) and healthy food availability at home. Design, Setting, and Participants A cross-sectional study was conducted in Baltimore, Maryland, including primary care adults enrolled in the Achieving Blood Pressure Control Together trial between September 1, 2013, and June 30, 2014. Participants were Black and had at least 2 BP readings greater than or equal to 140/90 mm Hg in the 6 months before enrollment. Analyses were conducted from August 5, 2021, to January 28, 2022. Exposures Participants' perceived neighborhood health, defined as the mean standardized score across 4 subdomains of aesthetic quality, walkability, safety, and violence, with a higher score signifying better neighborhood health. Main Outcomes and Measures Hypertension self-care behavior and self-efficacy. Multivariable generalized linear models were fit regressing each outcome on perceived neighborhood health (higher scores on each domain signify better perceived neighborhood health), adjusted for confounders, and interaction terms between neighborhood health and potential modifiers (ADI [higher percentiles correspond to more deprivation] and healthy food availability [higher scores indicate greater availability]) of the primary association were included. Results Among 159 participants (median [IQR] age, 57 [49-64] years; mean [SD] age, 57 (11) years; 117 women [74%]), median (IQR) hypertension self-care behavior was 50 (45-56) and self-efficacy was 64 (57-72). Better perceived neighborhood health was associated with greater hypertension self-care behavior (β, 2.48; 95% CI, 0.63-4.33) and self-efficacy (β, 4.42; 95% CI, 2.25-6.59); these associations persisted for all neighborhood health subdomains except aesthetic quality. There were no statistically significant interactions between perceived neighborhood health or its subdomains with ADI on self-care behavior (P = .74 for interaction) or self-efficacy (P = .85 for interaction). However, better perceived neighborhood aesthetic quality had associations with greater self-care behavior specifically at higher healthy food availability at home scores: β at -1 SD, -0.29; 95% CI, -2.89 to 2.30 vs β at 1 SD, 2.97; 95% CI, 0.46-5.47; P = .09 for interaction). Likewise, associations of perceived worse neighborhood violence with lower self-care behavior were attenuated at higher healthy food availability at home scores (β for -1 SD, 3.69; 95% CI, 1.31-6.08 vs β for 1 SD, 0.01; 95% CI, -2.53 to 2.54; P = .04 for interaction). Conclusions and Relevance In this cross-sectional study, better perceived neighborhood health was associated with greater hypertension self-care among Black individuals with hypertension, particularly among those with greater in-home food availability. Thus, optimizing hypertension self-management may require multifaceted interventions targeting both the patients' perceived contextual neighborhood barriers to self-care and availability of healthy food resources in the home.
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Affiliation(s)
- Joseph Lunyera
- Division of General Internal Medicine, Department of Medicine, Duke University School of Medicine, Durham, North Carolina
| | - Clemontina A. Davenport
- Department of Biostatistics and Bioinformatics, Duke University School of Medicine, Durham, North Carolina
| | - Patti Ephraim
- Feinstein Institutes for Medical Research, Northwell Health, Manhasset, New York
| | - Dinushika Mohottige
- Division of Nephrology, Department of Medicine, Duke University School of Medicine, Durham, North Carolina
| | - Nrupen A. Bhavsar
- Division of General Internal Medicine, Department of Medicine, Duke University School of Medicine, Durham, North Carolina
| | | | - Ashley Cabacungan
- Division of General Internal Medicine, Department of Medicine, Duke University School of Medicine, Durham, North Carolina
| | - Nicole DePasquale
- Division of General Internal Medicine, Department of Medicine, Duke University School of Medicine, Durham, North Carolina
| | - Sarah Peskoe
- Department of Biostatistics and Bioinformatics, Duke University School of Medicine, Durham, North Carolina
| | - L. Ebony Boulware
- Division of General Internal Medicine, Department of Medicine, Duke University School of Medicine, Durham, North Carolina
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Mohottige D, Olabisi O, Boulware LE. Use of Race in Kidney Function Estimation: Lessons Learned and the Path Toward Health Justice. Annu Rev Med 2023; 74:385-400. [PMID: 36706748 DOI: 10.1146/annurev-med-042921-124419] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/28/2023]
Abstract
In 2020, the nephrology community formally interrogated long-standing race-based clinical algorithms used in the field, including the kidney function estimation equations. A comprehensive understanding of the history of kidney function estimation and racial essentialism is necessary to understand underpinnings of the incorporation of a Black race coefficient into prior equations. We provide a review of this history, as well as the considerations used to develop race-free equations that are a guidepost for a more equity-oriented, scientifically rigorous future for kidney function estimation and other clinical algorithms and processes in which race may be embedded as a variable.
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Affiliation(s)
- Dinushika Mohottige
- Division of Nephrology, Department of Medicine, Duke University School of Medicine, Durham, North Carolina, USA; .,Center for Community and Population Health Improvement, Clinical and Translational Science Institute, Duke University School of Medicine, Durham, North Carolina, USA.,Division of General Internal Medicine, Department of Medicine, Duke University School of Medicine, Durham, North Carolina, USA
| | - Opeyemi Olabisi
- Division of Nephrology, Department of Medicine, Duke University School of Medicine, Durham, North Carolina, USA; .,Duke Molecular Physiology Institute, Duke University, Durham, North Carolina, USA
| | - L Ebony Boulware
- Center for Community and Population Health Improvement, Clinical and Translational Science Institute, Duke University School of Medicine, Durham, North Carolina, USA.,Division of General Internal Medicine, Department of Medicine, Duke University School of Medicine, Durham, North Carolina, USA
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Katz-Greenberg G, Samoylova ML, Shaw BI, Peskoe S, Mohottige D, Boulware LE, Wang V, McElroy LM. Association of the Affordable Care Act on Access to and Outcomes After Kidney or Liver Transplant: A Transplant Registry Study. Transplant Proc 2023; 55:56-65. [PMID: 36623960 PMCID: PMC11025621 DOI: 10.1016/j.transproceed.2022.12.008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2022] [Accepted: 12/07/2022] [Indexed: 01/08/2023]
Abstract
BACKGROUND To evaluate the effect of the Affordable Care Act (ACA) Medicaid expansion on payor mix among patients on the kidney and liver transplant waiting list as well as waiting list and post-transplant outcomes. DESIGN Using the Scientific Registry of Transplant Recipients, we performed a secondary data analysis of all patients on the kidney and liver transplant waiting list from 2007 to 2018. We described changes in payor mix by timing of state Medicaid expansion. We used competing risks models to estimate cause-specific hazard ratios for the effects of insurance and era on death/delisting and transplant. We used a Poisson regression model to estimate the effect of insurance and era on incidence rate ratio of inactivations on the waiting list. We used Cox proportional hazards models to estimate the effect of insurance and era on graft and patient survival. RESULTS A decade after implementation of the ACA, the prevalence of Medicaid beneficiaries listed for transplant increased by 2.5% (from 7.4% to 9.9%) for kidney and by 2.6% (15.3% to 17.9%) for liver. Expansion states had greater increases than nonexpansion states (kidney 3.8% vs 0.6%, liver 5.3% vs -1.8%). Among wait-listed patients, the magnitude of association of Medicaid insurance vs private insurance with transplant decreased over time for kidney candidates (era 1 subdistribution hazard ratio (SHR), 0.62 [95% CI, 0.60-0.64] vs era 3 SHR, 0.77 [95% CI, 0.74-0.70]) but increased for liver candidates (era 1 SHR, 0.85 [95% CI, 0.83-0.90] vs era 3 SHR 0.79 [95% CI, 0.77-0.82]). Medicaid-insured kidney and liver recipients had greater hazards of graft failure; this did not change over time (kidney: HR, 1.23 [95% CI, 1.06-1.44] liver: HR, 1.05 [95% CI, 0.94-1.17]). CONCLUSIONS For the millions of patients with chronic kidney and liver diseases, implementation of the ACA has resulted in only modest increases in access to transplant for the publicly insured vs the privately insured.
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Affiliation(s)
| | | | - Brian I Shaw
- Department of Surgery, Duke University, Durham, North Carolina
| | - Sarah Peskoe
- Department of Biostatistics, Duke University, Durham, North Carolina
| | | | - L Ebony Boulware
- Department of Medicine, Duke University, Durham, North Carolina; Department of Population Health Sciences, Duke University, Durham, North Carolina
| | - Virginia Wang
- Department of Medicine, Duke University, Durham, North Carolina; Department of Population Health Sciences, Duke University, Durham, North Carolina; Center of Innovation for Health Services Research and Development, Durham Veterans Affairs Health Care System, Durham, North Carolina
| | - Lisa M McElroy
- Department of Surgery, Duke University, Durham, North Carolina; Department of Population Health Sciences, Duke University, Durham, North Carolina
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18
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Tyson CC, Svetkey LP, Lin PH, Granados I, Kennedy D, Dunbar KT, Redd C, Bennett G, Boulware LE, Fish LJ. Self-Perceived Barriers and Facilitators to Dietary Approaches to Stop Hypertension Diet Adherence Among Black Americans With Chronic Kidney Disease: A Qualitative Study. J Ren Nutr 2023; 33:59-68. [PMID: 35597318 PMCID: PMC10344422 DOI: 10.1053/j.jrn.2022.05.002] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/19/2021] [Revised: 03/25/2022] [Accepted: 05/01/2022] [Indexed: 01/25/2023] Open
Abstract
OBJECTIVE The Dietary Approaches to Stop Hypertension (DASH) eating plan improves hypertension in Black individuals and is associated with favorable chronic kidney disease (CKD) outcomes. Yet, adherence to DASH is low among US adults in general, particularly among Black Americans. We assessed perceptions about DASH, its cultural compatibility, and barriers and facilitators to DASH adherence in Black adults with CKD. DESIGN AND METHODS We conducted focus groups and semistructured individual interviews involving 22 Black men and women with CKD Stages 3-4 from outpatient clinics at a US academic medical center. Transcripts of audio-recorded interviews were analyzed using thematic analysis. RESULTS Among participants (2 focus groups [N = 8 and 5] and 9 individual interviews), 13 (59%) had CKD Stage 3, 13 (59%) were female, the median age was 61 years, and 19 (90%) had hypertension. After receiving information about DASH, participants perceived it as culturally compatible based on 3 emergent themes: (1) Black individuals already eat DASH-recommended foods ("Blacks eat pretty much like this"), (2) traditional recipes (e.g., southern or soul food) can be modified into healthy versions ("you can come up with decent substitutes to make it just as good"), and ( 3) diet is not uniform among Black individuals ("I can't say that I eat traditional"). Perceived barriers to DASH adherence included unfamiliarity with serving sizes, poor cooking skills, unsupportive household members, and high cost of healthy food. Eleven (52%) reported after paying monthly bills that they "rarely" or "never" had leftover money to purchase healthy food. Perceived facilitators included having local access to healthy food, living alone or with supportive household members, and having willpower and internal/external motivation for change. CONCLUSIONS Black adults with CKD viewed DASH as a healthy, culturally compatible diet. Recognizing that diet in Black adults is not uniform, interventions should emphasize person-centered, rather than stereotypically culture-centered, approaches to DASH adherence.
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Affiliation(s)
- Crystal C Tyson
- Division of Nephrology, Department of Medicine, Duke University School of Medicine, Durham, North Carolina.
| | - Laura P Svetkey
- Division of Nephrology, Department of Medicine, Duke University School of Medicine, Durham, North Carolina; Duke Stedman Nutrition & Metabolism Center, Duke Molecular Physiology Institute, Durham, North Carolina
| | - Pao-Hwa Lin
- Division of Nephrology, Department of Medicine, Duke University School of Medicine, Durham, North Carolina; Duke Stedman Nutrition & Metabolism Center, Duke Molecular Physiology Institute, Durham, North Carolina
| | - Isa Granados
- Duke Cancer Institute, Duke University, Durham, North Carolina; Department of Population Health Sciences, Duke University School of Medicine, Durham, North Carolina
| | | | - Kayla T Dunbar
- Department of Population Health Sciences, Duke University School of Medicine, Durham, North Carolina
| | - Cynthia Redd
- Division of Nephrology, Department of Medicine, Duke University School of Medicine, Durham, North Carolina
| | - Gary Bennett
- Division of Nephrology, Department of Medicine, Duke University School of Medicine, Durham, North Carolina; Department of Psychology and Neuroscience, Duke Global Digital Health Science Center, Duke University, Durham, North Carolina
| | - L Ebony Boulware
- Division of General Internal Medicine, Department of Medicine, Duke University School of Medicine, Durham, North Carolina
| | - Laura J Fish
- Duke Cancer Institute, Duke University, Durham, North Carolina; Department of Family Medicine and Community Health, Duke University School of Medicine, Durham, North Carolina
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Bhavsar NA, Yang LZ, Phelan M, Shepherd-Banigan M, Goldstein BA, Peskoe S, Palta P, Hirsch JA, Mitchell NS, Hirsch AG, Lunyera J, Mohottige D, Diamantidis CJ, Maciejewski ML, Boulware LE. Association between Gentrification and Health and Healthcare Utilization. J Urban Health 2022; 99:984-997. [PMID: 36367672 PMCID: PMC9727003 DOI: 10.1007/s11524-022-00692-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 09/13/2022] [Indexed: 11/13/2022]
Abstract
There is tremendous interest in understanding how neighborhoods impact health by linking extant social and environmental drivers of health (SDOH) data with electronic health record (EHR) data. Studies quantifying such associations often use static neighborhood measures. Little research examines the impact of gentrification-a measure of neighborhood change-on the health of long-term neighborhood residents using EHR data, which may have a more generalizable population than traditional approaches. We quantified associations between gentrification and health and healthcare utilization by linking longitudinal socioeconomic data from the American Community Survey with EHR data across two health systems accessed by long-term residents of Durham County, NC, from 2007 to 2017. Census block group-level neighborhoods were eligible to be gentrified if they had low socioeconomic status relative to the county average. Gentrification was defined using socioeconomic data from 2006 to 2010 and 2011-2015, with the Steinmetz-Wood definition. Multivariable logistic and Poisson regression models estimated associations between gentrification and development of health indicators (cardiovascular disease, hypertension, diabetes, obesity, asthma, depression) or healthcare encounters (emergency department [ED], inpatient, or outpatient). Sensitivity analyses examined two alternative gentrification measures. Of the 99 block groups within the city of Durham, 28 were eligible (N = 10,807; median age = 42; 83% Black; 55% female) and 5 gentrified. Individuals in gentrifying neighborhoods had lower odds of obesity (odds ratio [OR] = 0.89; 95% confidence interval [CI]: 0.81-0.99), higher odds of an ED encounter (OR = 1.10; 95% CI: 1.01-1.20), and lower risk for outpatient encounters (incidence rate ratio = 0.93; 95% CI: 0.87-1.00) compared with non-gentrifying neighborhoods. The association between gentrification and health and healthcare utilization was sensitive to gentrification definition.
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Affiliation(s)
- Nrupen A Bhavsar
- Department of Medicine, Duke University School of Medicine, Durham, NC, USA.
- Department of Biostatistics & Bioinformatics, Duke University School of Medicine, Durham, NC, USA.
| | | | | | - Megan Shepherd-Banigan
- Department of Population Health Sciences, Duke University School of Medicine, Durham, NC, USA
- Durham VA Medical Center, Durham, NC, USA
| | - Benjamin A Goldstein
- Department of Biostatistics & Bioinformatics, Duke University School of Medicine, Durham, NC, USA
- Duke Clinical Research Institute, Durham, NC, USA
| | - Sarah Peskoe
- Department of Biostatistics & Bioinformatics, Duke University School of Medicine, Durham, NC, USA
| | - Priya Palta
- Department of Medicine, College of Physicians and Surgeons, Columbia University Irving Medical Center, New York, NY, USA
- Department of Epidemiology, Joseph P. Mailman School of Public Health, Columbia University Irving Medical Center, New York, NY, USA
| | - Jana A Hirsch
- Dornsife School of Public Health, Urban Health Collaborative, Drexel University, Philadelphia, PA, USA
- Department of Epidemiology and Biostatistics, Dornsife School of Public Health, Drexel University, Philadelphia, PA, USA
| | - Nia S Mitchell
- Department of Medicine, Duke University School of Medicine, Durham, NC, USA
| | - Annemarie G Hirsch
- Department of Epidemiology and Health Services Research, Geisinger, Danville, PA, USA
| | - Joseph Lunyera
- Department of Medicine, Duke University School of Medicine, Durham, NC, USA
| | | | - Clarissa J Diamantidis
- Department of Medicine, Duke University School of Medicine, Durham, NC, USA
- Department of Population Health Sciences, Duke University School of Medicine, Durham, NC, USA
- Durham VA Medical Center, Durham, NC, USA
| | - Matthew L Maciejewski
- Department of Medicine, Duke University School of Medicine, Durham, NC, USA
- Department of Population Health Sciences, Duke University School of Medicine, Durham, NC, USA
- Durham VA Medical Center, Durham, NC, USA
| | - L Ebony Boulware
- Department of Medicine, Duke University School of Medicine, Durham, NC, USA
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Pomann G, Boulware LE, Chan C, Grambow SC, Hanlon AL, Neely ML, Peskoe SB, Samsa G, Troy JD, Yang LZ, Thomas SM. Experiential Learning Methods for Biostatistics Students: A Model for Embedding Student Interns in Academic Health Centers. Stat (Int Stat Inst) 2022; 11:e506. [PMID: 36937572 PMCID: PMC10022448 DOI: 10.1002/sta4.506] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/03/2022] [Revised: 09/01/2022] [Accepted: 09/06/2022] [Indexed: 11/10/2022]
Abstract
This manuscript describes an experiential learning program for future collaborative biostatisticians (CBs) developed within an academic medical center. The program is a collaborative effort between the Biostatistics, Epidemiology, and Research Design (BERD) Methods Core and the Master of Biostatistics (MB) program, both housed in the Department of Biostatistics and Bioinformatics at Duke University School of Medicine and supported in partnership with the Duke Clinical and Translational Science Institute. To date, the BERD Core Training and Internship Program (BCTIP) has formally trained over 80 students to work on collaborative teams that are integrated throughout the Duke School of Medicine. This manuscript focuses on the setting for the training program, the experiential learning model on which it is based, the structure of the program, and lessons learned to date.
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Affiliation(s)
- Gina‐Maria Pomann
- Department of Biostatistics and BioinformaticsDuke UniversityDurhamNorth Carolina27710USA
| | - L. Ebony Boulware
- Duke Clinical and Translational Science InstituteDuke UniversityDurhamNorth Carolina27710USA
| | - Cliburn Chan
- Department of Biostatistics and BioinformaticsDuke UniversityDurhamNorth Carolina27710USA
- Duke Center for AIDS ResearchDuke UniversityDurhamNorth Carolina27710USA
- Center for Human Systems ImmunologyDuke University Medical CenterDurhamNorth Carolina27710USA
| | - Steven C. Grambow
- Department of Biostatistics and BioinformaticsDuke UniversityDurhamNorth Carolina27710USA
| | - Alexandra L. Hanlon
- Center for Biostatistics and Health Data Science, Department of StatisticsVirginia TechRoanokeVirginia24016USA
| | - Megan L. Neely
- Department of Biostatistics and BioinformaticsDuke UniversityDurhamNorth Carolina27710USA
| | - Sarah B. Peskoe
- Department of Biostatistics and BioinformaticsDuke UniversityDurhamNorth Carolina27710USA
| | - Greg Samsa
- Department of Biostatistics and BioinformaticsDuke UniversityDurhamNorth Carolina27710USA
- Duke Cancer InstituteDuke UniversityDurhamNorth Carolina27710USA
| | - Jesse D. Troy
- Department of Biostatistics and BioinformaticsDuke UniversityDurhamNorth Carolina27710USA
- Duke Cancer InstituteDuke UniversityDurhamNorth Carolina27710USA
| | - Lexie Zidanyue Yang
- Department of Biostatistics and BioinformaticsDuke UniversityDurhamNorth Carolina27710USA
| | - Samantha M. Thomas
- Department of Biostatistics and BioinformaticsDuke UniversityDurhamNorth Carolina27710USA
- Duke Cancer InstituteDuke UniversityDurhamNorth Carolina27710USA
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Shavadia JS, Wilson J, Edmonston D, Platt A, Ephraim P, Hall R, Goldstein BA, Boulware LE, Peterson E, Pendergast J, Scialla JJ. Corrigendum to "Statins and atherosclerotic cardiovascular outcomes in patients on incident dialysis and with atherosclerotic heart disease" [Am Heart J (2021) 231:36-44]. Am Heart J 2022; 253:99-100. [PMID: 35934528 DOI: 10.1016/j.ahj.2022.06.009] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 06/15/2023]
Affiliation(s)
- Jay S Shavadia
- Department of Medicine, Division of Cardiology, University of Saskatchewan, Saskatoon, Saskatchewan, Canada; Duke Clinical Research Institute, Durham, NC.
| | - Jonathan Wilson
- Department of Biostatistics and Bioinformatics, Duke University School of Medicine, Durham, NC
| | - Daniel Edmonston
- Duke Clinical Research Institute, Durham, NC; Department of Medicine, Duke University School of Medicine, Durham, NC
| | - Alyssa Platt
- Duke Clinical Research Institute, Durham, NC; Department of Biostatistics and Bioinformatics, Duke University School of Medicine, Durham, NC
| | - Patti Ephraim
- Department of Epidemiology, Johns Hopkins University Bloomberg School of Public Health, Durham, NC; Baltimore, MD
| | - Rasheeda Hall
- Duke Clinical Research Institute, Durham, NC; Department of Medicine, Duke University School of Medicine, Durham, NC
| | - Benjamin A Goldstein
- Duke Clinical Research Institute, Durham, NC; Department of Biostatistics and Bioinformatics, Duke University School of Medicine, Durham, NC
| | - L Ebony Boulware
- Duke Clinical Research Institute, Durham, NC; Department of Medicine, Duke University School of Medicine, Durham, NC
| | - Eric Peterson
- Duke Clinical Research Institute, Durham, NC; Department of Medicine, Duke University School of Medicine, Durham, NC
| | - Jane Pendergast
- Duke Clinical Research Institute, Durham, NC; Department of Biostatistics and Bioinformatics, Duke University School of Medicine, Durham, NC
| | - Julia J Scialla
- Duke Clinical Research Institute, Durham, NC; Department of Medicine, Duke University School of Medicine, Durham, NC; Departments of Medicine and Public Health Sciences, University of Virginia School of Medicine, Charlottesville, VA
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Hall RK, Morton S, Wilson J, Kim DH, Colón-Emeric C, Scialla JJ, Platt A, Ephraim PL, Boulware LE, Pendergast J. Development of an Administrative Data-Based Frailty Index for Older Adults Receiving Dialysis. Kidney360 2022; 3:1566-1577. [PMID: 36245660 PMCID: PMC9528369 DOI: 10.34067/kid.0000032022] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/03/2022] [Accepted: 07/18/2022] [Indexed: 11/27/2022]
Abstract
BackgroundFrailty is present in ≥50% of older adults receiving dialysis. Our objective was to a develop an administrative data–based frailty index and assess the frailty index’s predictive validity for mortality and future hospitalizations.MethodsWe used United States Renal Data System data to establish two cohorts of adults aged ≥65 years, initiating dialysis in 2013 and in 2017. Using the 2013 cohort (development dataset), we applied the deficit accumulation index approach to develop a frailty index. Adjusting for age and sex, we assessed the extent to which the frailty index predicts the hazard of time until death and time until first hospitalization over 12 months. We assessed the Harrell’s C-statistic of the frailty index, a comorbidity index, and jointly. The 2017 cohort was used as a validation dataset.ResultsUsing the 2013 cohort (n=20,974), we identified 53 deficits for the frailty index across seven domains: disabilities, diseases, equipment, procedures, signs, tests, and unclassified. Among those with ≥1 deficit, the mean (SD) frailty index was 0.30 (0.13), range 0.02–0.72. Over 12 months, 18% (n=3842) died, and 55% (n=11,493) experienced a hospitalization. Adjusted hazard ratios for each 0.1-point increase in frailty index in models of time to death and time to first hospitalization were 1.41 (95% confidence interval, 1.37 to 1.44) and 1.33 (95% confidence interval, 1.31 to 1.35), respectively. For mortality, C-statistics for frailty index, comorbidity index, and both indices were 0.65, 0.65, and 0.66, respectively. For hospitalization, C-statistics for frailty index, comorbidity index, and both indices were 0.61, 0.60, and 0.61, respectively. Data from the 2017 cohort were similar.ConclusionsWe developed a novel frailty index for older adults receiving dialysis. Further studies are needed to improve on this frailty index and validate its use for clinical and research applications.
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Wesson DE, Mathur V, Tangri N, Hamlett S, Bushinsky DA, Boulware LE. Primary Medical Care Integrated with Healthy Eating and Healthy Moving is Essential to Reduce Chronic Kidney Disease Progression. Am J Med 2022; 135:1051-1058. [PMID: 35576995 DOI: 10.1016/j.amjmed.2022.04.015] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/29/2022] [Revised: 04/13/2022] [Accepted: 04/14/2022] [Indexed: 11/27/2022]
Abstract
Increasing adverse outcomes in patients with chronic kidney disease reflect growth of patients with early-stage chronic kidney disease and their increasing per population rates of these outcomes. Progression of chronic kidney disease, more than current level of kidney function, is the primary driver of adverse chronic kidney disease-related outcomes. Racial/ethnic minorities progress faster to end-stage kidney disease with greater risk for adverse outcomes. Diabetes and hypertension cause two-thirds of end-stage kidney disease, for which primary medical care integrated with healthy eating and increased physical activity (healthy moving) slows chronic kidney disease progression. Patients with early-stage chronic kidney disease are appropriately managed by primary care practices but most lack infrastructure to facilitate this integration that reduces adverse chronic kidney disease-related outcomes. Individuals of low socioeconomic status are at greater chronic kidney disease risk, and flexible regulatory options in Medicaid can fund infrastructure to facilitate healthy eating and healthy moving integration with primary medical care. This integration promises to reduce chronic kidney disease-related adverse outcomes, disproportionately in racial/ethnic minorities, and thereby reduce chronic kidney disease-related health disparities.
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Affiliation(s)
- Donald E Wesson
- Dell Medical School - The University of Texas at Austin; Donald E Wesson Consulting, LLC, Dallas, Texas.
| | | | - Navdeep Tangri
- Department of Internal Medicine, Rady Faculty of Health Sciences, Max Rady College of Medicine, University of Manitoba, Winnipeg, Canada
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Mohottige D, Davenport C, Lee HJ, Ephraim P, DePasquale N, Cabacungan A, Barrett T, McElroy L, Pendergrast J, Diamantidis CJ, Boulware LE. Receipt and Sharing of Information to Improve Knowledge About Living Donor Kidney Transplant among Transplant Candidates with Advanced Chronic Kidney Disease. Prog Transplant 2022; 32:241-247. [PMID: 35698759 DOI: 10.1177/15269248221107047] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
Introduction: Knowledge about living donor kidney transplant (LDKT) is associated with greater access. Yet, little is known about factors associated with high living donor transplant knowledge. Research Questions: Is receipt of LDKT information from health professionals or sharing information with family and friends associated with higher knowledge? Design: We conducted a cross-sectional analysis of data from preemptive LDKT candidates, which assessed knowledge, receipt of information about living donation from health professionals, and history of having shared living donor information with family members or friends. In multivariable logistic regression models adjusting for participants' age, race, and total household income, we quantified the association of high knowledge with receipt of living donation information from health professionals and sharing of this information with family/friends. Results: Among 130 participants, the median (IQR) age was 59.5 (52.0-65.0) years, 60% were female, 47.7% were Black, and 49.2% had a high school education or less. Over half (55.4%) had high LDKT knowledge. Nearly one third reported having received living donor information (33.1%) or sharing the information with family/friends (28.5%). After adjustment, those who received (vs. did not receive information) and shared information with family/friends had 3-fold higher odds of high LDKT knowledge (3.05 [1.24, 8.08]). Individuals who received LDKT information (vs. did not) from health professionals had 4-fold higher odds of high LDKT knowledge (adjusted OR [95% CI]: 4.01 [1.49, 12.18]. Conclusions: Receipt of living donation information from health professionals and sharing this information with family/friends were associated with high LDKT knowledge.
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Affiliation(s)
- Dinushika Mohottige
- Division of Nephrology, Department of Medicine, 12277Duke University School of Medicine, Durham, NC, USA
| | - Clemontina Davenport
- Department of Biostatistics & Bioinformatics, 12277Duke University School of Medicine, Durham, NC, USA
| | - Hui-Jie Lee
- Department of Biostatistics & Bioinformatics, 12277Duke University School of Medicine, Durham, NC, USA
| | - Patti Ephraim
- Department of Epidemiology, 25802Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
- Welch Center for Prevention, Epidemiology and Clinical Research, Baltimore, MD, USA
| | - Nicole DePasquale
- Division of General Internal Medicine, Department of Medicine, 12277Duke University School of Medicine, Durham, NC, USA
| | - Ashley Cabacungan
- Division of General Internal Medicine, Department of Medicine, 12277Duke University School of Medicine, Durham, NC, USA
| | - Tyler Barrett
- Division of General Internal Medicine, Department of Medicine, 12277Duke University School of Medicine, Durham, NC, USA
| | - Lisa McElroy
- Division of Abdominal Transplant, Duke Department of Surgery, 12277Duke University School of Medicine, Durham, NC, USA
| | - Jane Pendergrast
- Department of Biostatistics & Bioinformatics, 12277Duke University School of Medicine, Durham, NC, USA
| | - Clarissa J Diamantidis
- Division of Nephrology, Department of Medicine, 12277Duke University School of Medicine, Durham, NC, USA
- Division of General Internal Medicine, Department of Medicine, 12277Duke University School of Medicine, Durham, NC, USA
| | - L Ebony Boulware
- Division of General Internal Medicine, Department of Medicine, 12277Duke University School of Medicine, Durham, NC, USA
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Boulware LE, Vitale A, Ruiz R, Corbie G, Aguilar-Gaxiola S, Wilkins CH, Egede LE. Diversity, equity and inclusion actions from the NCATS Clinical and Translational Science awarded programs. Nat Med 2022; 28:1730-1731. [PMID: 35764682 PMCID: PMC9244304 DOI: 10.1038/s41591-022-01863-7] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
Affiliation(s)
| | - Alfred Vitale
- University of Rochester Medical Center, Rochester, NY, USA
| | - Raquel Ruiz
- Duke University School of Medicine, Durham, NC, USA
| | - Giselle Corbie
- University of North Carolina Chapel Hill School of Medicine, Chapel Hill, NC, USA
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Abstract
IMPORTANCE System and center-level interventions to improve health equity in organ transplantation benefit from robust characterization of the referral population served by each transplant center. Transplant referral regions (TRRs) define geographic catchment areas for transplant centers in the US, but accurately characterizing the demographics of populations within TRRs using US Census data poses a challenge. OBJECTIVE To compare 2 methods of linking US Census data with TRRs-a geospatial intersection method and a zip code cross-reference method. DESIGN, SETTING, AND PARTICIPANTS This cohort study compared spatial congruence of spatial intersection and zip code cross-reference methods of characterizing TRRs at the census block level. Data included adults aged 18 years and older on the waiting list for kidney transplant from 2008 through 2018. EXPOSURES End-stage kidney disease. MAIN OUTCOMES AND MEASURES Multiple assignments, where a census tract or block group crossed the boundary between 2 hospital referral regions and was assigned to multiple different TRRs; misassigned area, the portion of census tracts or block groups assigned to a TRR using either method but fall outside of the TRR boundary. RESULTS In total, 102 TRRs were defined for 238 transplant centers. The zip code cross-reference method resulted in 4627 multiple-assigned census block groups (representing 18% of US land area assigned to TRRs), while the spatial intersection method eliminated this problem. Furthermore, the spatial method resulted in a mean and median reduction in misassigned area of 65% and 83% across all TRRs, respectively, compared with the zip code cross-reference method. CONCLUSIONS AND RELEVANCE In this study, characterizing populations within TRRs with census block groups provided high spatial resolution, complete coverage of the country, and balanced population counts. A spatial intersection approach avoided errors due to duplicative and incorrect assignments, and allowed more detailed and accurate characterization of the sociodemographics of populations within TRRs; this approach can enrich transplant center knowledge of local referral populations, assist researchers in understanding how social determinants of health may factor into access to transplant, and inform interventions to improve heath equity.
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Affiliation(s)
- Tyler Schappe
- Duke University, School of Medicine, Durham, North Carolina
| | - Sarah Peskoe
- Duke University, School of Medicine, Durham, North Carolina
| | - Nrupen Bhavsar
- Duke University, School of Medicine, Durham, North Carolina
| | | | | | - Lisa M McElroy
- Duke University, School of Medicine, Durham, North Carolina
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DePasquale N, Green JA, Ephraim PL, Morton S, Peskoe SB, Davenport CA, Mohottige D, McElroy L, Strigo TS, Hill-Briggs F, Browne T, Wilson J, Lewis-Boyer L, Cabacungan AN, Boulware LE. Decisional Conflict About Kidney Failure Treatment Modalities Among Adults With Advanced CKD. Kidney Med 2022; 4:100521. [PMID: 36090772 PMCID: PMC9449857 DOI: 10.1016/j.xkme.2022.100521] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022] Open
Abstract
Rationale & Objective Choosing from multiple kidney failure treatment modalities can create decisional conflict, but little is known about this experience before decision implementation. We explored decisional conflict about treatment for kidney failure and its associated patient characteristics in the context of advanced chronic kidney disease (CKD). Study Design Cross-sectional study. Setting & Participants Adults (N = 427) who had advanced CKD, received nephrology care in Pennsylvania-based clinics, and had no history of dialysis or transplantation. Predictors Participants' sociodemographic, physical health, nephrology care/knowledge, and psychosocial characteristics. Outcomes Participants' results on the Sure of myself; Understand information; Risk-benefit ratio; Encouragement (SURE) screening test for decisional conflict (no decisional conflict vs decisional conflict). Analytical Approach We used multivariable logistic regression to quantify associations between aforementioned participant characteristics and decisional conflict. We repeated analyses among a subgroup of participants at highest risk of kidney failure within 2 years. Results Most (76%) participants reported treatment-related decisional conflict. Participant characteristics associated with lower odds of decisional conflict included complete satisfaction with patient-kidney team treatment discussions (OR, 0.16; 95% CI, 0.03-0.88; P = 0.04), attendance of treatment education classes (OR, 0.38; 95% CI, 0.16-0.90; P = 0.03), and greater treatment-related decision self-efficacy (OR, 0.97; 95% CI, 0.94-0.99; P < 0.01). Sensitivity analyses showed a similarly high prevalence of decisional conflict (73%) and again demonstrated associations of class attendance (OR, 0.26; 95% CI, 0.07-0.96; P = 0.04) and decision self-efficacy (OR, 0.95; 95% CI, 0.91-0.99; P = 0.03) with decisional conflict. Limitations Single-health system study. Conclusions Decisional conflict was highly prevalent regardless of CKD progression risk. Findings suggest efforts to reduce decisional conflict should focus on minimizing the mismatch between clinical practice guidelines and patient-reported engagement in treatment preparation, facilitating patient-kidney team treatment discussions, and developing treatment education programs and decision support interventions that incorporate decision self-efficacy-enhancing strategies.
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Affiliation(s)
- Nicole DePasquale
- Division of General Internal Medicine, Duke University School of Medicine, Durham, NC
| | - Jamie A. Green
- Department of Nephrology, Geisinger Commonwealth School of Medicine, Danville, PA
- Kidney Health Research Institute, Geisinger, Danville, PA
| | - Patti L. Ephraim
- Feinstein Institutes for Medical Research, Northwell Health, New York, NY
| | - Sarah Morton
- Department of Biostatistics and Bioinformatics, Duke University School of Medicine, Durham, NC
| | - Sarah B. Peskoe
- Department of Biostatistics and Bioinformatics, Duke University School of Medicine, Durham, NC
| | - Clemontina A. Davenport
- Department of Biostatistics and Bioinformatics, Duke University School of Medicine, Durham, NC
| | | | - Lisa McElroy
- Department of Surgery, Duke University School of Medicine, Durham, NC
| | - Tara S. Strigo
- Division of General Internal Medicine, Duke University School of Medicine, Durham, NC
| | | | - Teri Browne
- College of Social Work, University of South Carolina, Columbia, SC
| | - Jonathan Wilson
- Department of Biostatistics and Bioinformatics, Duke University School of Medicine, Durham, NC
| | - LaPricia Lewis-Boyer
- Division of General Internal Medicine, Johns Hopkins University School of Medicine, Baltimore, MD
- Department of Physical Medicine & Rehabilitation, Johns Hopkins University School of Medicine, Baltimore, MD
| | - Ashley N. Cabacungan
- Division of General Internal Medicine, Duke University School of Medicine, Durham, NC
| | - L. Ebony Boulware
- Division of General Internal Medicine, Duke University School of Medicine, Durham, NC
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Boulware LE. Looking Upstream-The Role of Primary Care in Addressing US Race Inequities in Kidney Health. J Am Soc Nephrol 2022; 33:1249-1251. [PMID: 35728887 PMCID: PMC9257811 DOI: 10.1681/asn.2021101289] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022] Open
Affiliation(s)
- L Ebony Boulware
- Division of General Internal Medicine, Department of Medicine, Duke University, Durham, North Carolina .,Center for Community and Population Health Improvement, Clinical and Translational Science Institute, Duke University, Durham, North Carolina
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Boulware LE, Mohottige D, Maciejewski ML. Race-Free Estimation of Kidney Function: Clearing the Path Toward Kidney Health Equity. JAMA 2022; 327:2289-2291. [PMID: 35667010 DOI: 10.1001/jama.2022.7310] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/14/2022]
Affiliation(s)
- L Ebony Boulware
- Division of General Internal Medicine, Department of Medicine, Duke University School of Medicine, Durham, North Carolina
| | - Dinushika Mohottige
- Division of Nephrology, Department of Medicine, Duke University School of Medicine, Durham, North Carolina
| | - Matthew L Maciejewski
- Division of General Internal Medicine, Department of Medicine, Duke University School of Medicine, Durham, North Carolina
- Department of Population Health Sciences, Duke University School of Medicine, Durham, North Carolina
- Center of Innovation to Accelerate Discovery and Practice Transformation (ADAPT), Durham VA Medical Center, Durham, North Carolina
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Mohottige D, McElroy LM, Boulware LE. Addressing "Second Hits" in the Pursuit of Greater Equity in Health Outcomes for Individuals with ADPKD. Clin J Am Soc Nephrol 2022; 17:936-938. [PMID: 35725554 PMCID: PMC9269624 DOI: 10.2215/cjn.05970522] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022]
Affiliation(s)
- Dinushika Mohottige
- Division of Nephrology, Department of Medicine, Duke University School of Medicine, Durham, North Carolina
| | - Lisa M McElroy
- Division of Abdominal Transplant, Duke Department of Surgery, Duke University School of Medicine, Durham, North Carolina
| | - L Ebony Boulware
- Division of General Internal Medicine, Department of Medicine, Duke University School of Medicine, Durham, North Carolina
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Gianaris K, Vargas GB, Johnson M, Yu Y, Wilson E, Perkins JA, Jackson A, Boulware LE, Massie A, Levan ML, Segev DL, Purnell TS. Perceived Susceptibility to Chronic Kidney Disease and Hypertension Self-Management among Black and White Live Kidney Donors. Ethn Dis 2022; 32:101-108. [PMID: 35497403 DOI: 10.18865/ed.32.2.101] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022] Open
Abstract
Background Despite the societal benefits of live kidney donation, Black donors may be more likely than White donors to develop hypertension (HTN) and chronic kidney disease after donation. Among live kidney donors diagnosed with post-donation HTN, little is known about potential racial/ethnic differences in HTN self-care behaviors and perceived susceptibility to developing kidney disease. Methods We ascertained electronic medical records and phone survey data from live donors enrolled in the multi-center Wellness and Health Outcomes of LivE Donors (WHOLE-Donor) Hypertension Care Study between May 2013 and April 2020. Using multivariable logistic regression models performed January through June 2021, we examined potential associations of donor race/ethnicity with perceived susceptibility to kidney disease and self-care behaviors (ie, Behavioral Risk Factor Surveillance System measure assessing self-reported actions to control high blood pressure). Results The study included 318 US-based live kidney donors who developed post-donation HTN (57.6% female; 78.9% White; 18.6% Black; and mean age 46.7 years at donation). Black donors were equally as likely as White donors to report being moderately or strongly concerned about developing kidney disease (adjusted odds ratio, aOR: 1.27, 95%CI: .66, 2.14, P=.57). Donors with diabetes were more likely than those without diabetes (aOR: 2.43, 95%CI: 1.03, 5.01, P=.04), while donors aged >50 years were less likely than younger donors (aOR: .39, 95%CI: .18, .85, P=.02) to report being moderately or strongly concerned about kidney disease. Overall, 87% of donors reported taking at least one action to help control blood pressure, with no significant differences by sociodemographic factors. Conclusions We found no substantial differences in perceived susceptibility to kidney disease among Black and White donors, despite published evidence that Black donors may experience greater risk of developing kidney disease than White donors. Behavioral interventions to enhance knowledge about future disease risk, attitudes, and self-care strategies among living kidney donors may be beneficial.
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Affiliation(s)
- Kevin Gianaris
- Division of Transplantation, Department of Surgery, Johns Hopkins School of Medicine, Baltimore, MD
| | - Grecia B Vargas
- Department of Health Policy and Management, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD
| | - Morgan Johnson
- Division of Transplantation, Department of Surgery, Johns Hopkins School of Medicine, Baltimore, MD
| | - Yifan Yu
- Division of Transplantation, Department of Surgery, Johns Hopkins School of Medicine, Baltimore, MD
| | - Elena Wilson
- Division of Transplantation, Department of Surgery, Johns Hopkins School of Medicine, Baltimore, MD
| | - Jamilah A Perkins
- Division of Transplantation, Department of Surgery, Johns Hopkins School of Medicine, Baltimore, MD
| | - Aswad Jackson
- Diversity Summer Internship Program, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD
| | - L Ebony Boulware
- Division of General Internal Medicine, Duke University School of Medicine, Durham, NC
| | - Allan Massie
- Division of Transplantation, Department of Surgery, Johns Hopkins School of Medicine, Baltimore, MD.,Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD
| | - Macey L Levan
- Division of Transplantation, Department of Surgery, Johns Hopkins School of Medicine, Baltimore, MD
| | - Dorry L Segev
- Division of Transplantation, Department of Surgery, Johns Hopkins School of Medicine, Baltimore, MD.,Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD
| | - Tanjala S Purnell
- Division of Transplantation, Department of Surgery, Johns Hopkins School of Medicine, Baltimore, MD.,Department of Health Policy and Management, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD.,Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD
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Yan M, Pencina MJ, Boulware LE, Goldstein BA. Observability and its impact on differential bias for clinical prediction models. J Am Med Inform Assoc 2022; 29:937-943. [PMID: 35211742 PMCID: PMC9006687 DOI: 10.1093/jamia/ocac019] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2021] [Revised: 01/12/2022] [Accepted: 02/01/2022] [Indexed: 11/14/2022] Open
Abstract
OBJECTIVE Electronic health records have incomplete capture of patient outcomes. We consider the case when observability is differential across a predictor. Including such a predictor (sensitive variable) can lead to algorithmic bias, potentially exacerbating health inequities. MATERIALS AND METHODS We define bias for a clinical prediction model (CPM) as the difference between the true and estimated risk, and differential bias as bias that differs across a sensitive variable. We illustrate the genesis of differential bias via a 2-stage process, where conditional on having the outcome of interest, the outcome is differentially observed. We use simulations and a real-data example to demonstrate the possible impact of including a sensitive variable in a CPM. RESULTS If there is differential observability based on a sensitive variable, including it in a CPM can induce differential bias. However, if the sensitive variable impacts the outcome but not observability, it is better to include it. When a sensitive variable impacts both observability and the outcome no simple recommendation can be provided. We show that one cannot use observed data to detect differential bias. DISCUSSION Our study furthers the literature on observability, showing that differential observability can lead to algorithmic bias. This highlights the importance of considering whether to include sensitive variables in CPMs. CONCLUSION Including a sensitive variable in a CPM depends on whether it truly affects the outcome or just the observability of the outcome. Since this cannot be distinguished with observed data, observability is an implicit assumption of CPMs.
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Affiliation(s)
- Mengying Yan
- Department of Biostatistics & Bioinformatics, Duke University, Durham, North Carolina, USA
| | - Michael J Pencina
- Department of Biostatistics & Bioinformatics, Duke University, Durham, North Carolina, USA
| | - L Ebony Boulware
- Department of Medicine, Duke University, Durham, North Carolina, USA
| | - Benjamin A Goldstein
- Corresponding Author: Benjamin A. Goldstein, Department of Biostatistics & Bioinformatics, Duke University, 2424 Erwin Rd, Suite 9023, Durham, NC 27705, USA;
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Eneanya ND, Boulware LE, Tsai J, Bruce MA, Ford CL, Harris C, Morales LS, Ryan MJ, Reese PP, Thorpe RJ, Morse M, Walker V, Arogundade FA, Lopes AA, Norris KC. Health inequities and the inappropriate use of race in nephrology. Nat Rev Nephrol 2022; 18:84-94. [PMID: 34750551 PMCID: PMC8574929 DOI: 10.1038/s41581-021-00501-8] [Citation(s) in RCA: 62] [Impact Index Per Article: 31.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 10/04/2021] [Indexed: 12/13/2022]
Abstract
Chronic kidney disease is an important clinical condition beset with racial and ethnic disparities that are associated with social inequities. Many medical schools and health centres across the USA have raised concerns about the use of race - a socio-political construct that mediates the effect of structural racism - as a fixed, measurable biological variable in the assessment of kidney disease. We discuss the role of race and racism in medicine and outline many of the concerns that have been raised by the medical and social justice communities regarding the use of race in estimated glomerular filtration rate equations, including its relationship with structural racism and racial inequities. Although race can be used to identify populations who experience racism and subsequent differential treatment, ignoring the biological and social heterogeneity within any racial group and inferring innate individual-level attributes is methodologically flawed. Therefore, although more accurate measures for estimating kidney function are under investigation, we support the use of biomarkers for determining estimated glomerular filtration rate without adjustments for race. Clinicians have a duty to recognize and elucidate the nuances of racism and its effects on health and disease. Otherwise, we risk perpetuating historical racist concepts in medicine that exacerbate health inequities and impact marginalized patient populations.
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Affiliation(s)
- Nwamaka D Eneanya
- Renal-Electrolyte and Hypertension Division, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
| | - L Ebony Boulware
- Division of General Internal Medicine, Duke University School of Medicine, Durham, NC, USA
| | - Jennifer Tsai
- Department of Emergency Medicine, Yale School of Medicine, New Haven, CT, USA
| | - Marino A Bruce
- Program for Research on Faith, Justice, and Health, Department of Behavioral and Social Sciences, University of Houston College of Medicine, Houston, TX, USA
| | - Chandra L Ford
- Center for the Study of Racism, Social Justice & Health, Fielding School of Public Health, University of California, Los Angeles, CA, USA
| | - Christina Harris
- VA Greater Los Angeles Healthcare System, David Geffen School of Medicine, University of California, Los Angeles, CA, USA
| | - Leo S Morales
- Division of General Internal Medicine, University of Washington, Seattle, WA, USA
| | - Michael J Ryan
- Division of General Internal Medicine, University of Washington, Seattle, WA, USA
| | - Peter P Reese
- Renal-Electrolyte and Hypertension Division, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Department of Medical Ethics and Health Policy, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Roland J Thorpe
- Program for Research on Men's Health, Hopkins Center for Health Disparities Solutions, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Michelle Morse
- Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Valencia Walker
- Department of Paediatrics, Ohio State University College of Medicine, Columbus, OH, USA
| | | | - Antonio A Lopes
- Clinical Epidemiology and Evidence-Based Medicine Unit of the Edgard Santos University Hospital and Department of Internal Medicine, Federal University of Bahia, Salvador, Brazil
| | - Keith C Norris
- VA Greater Los Angeles Healthcare System, David Geffen School of Medicine, University of California, Los Angeles, CA, USA
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34
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Mohottige D, Boulware LE, Ford CL, Jones C, Norris KC. Use of Race in Kidney Research and Medicine: Concepts, Principles, and Practice. Clin J Am Soc Nephrol 2022; 17:314-322. [PMID: 34789476 PMCID: PMC8823929 DOI: 10.2215/cjn.04890421] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/03/2023]
Abstract
Black Americans and other racially and ethnically minoritized individuals are disproportionately burdened by higher morbidity and mortality from kidney disease when compared with their White peers. Yet, kidney researchers and clinicians have struggled to fully explain or rectify causes of these inequalities. Many studies have sought to identify hypothesized genetic and/or ancestral origins of biologic or behavioral deficits as singular explanations for racial and ethnic inequalities in kidney health. However, these approaches reinforce essentialist beliefs that racial groups are inherently biologically and behaviorally different. These approaches also often conflate the complex interactions of individual-level biologic differences with aggregated population-level disparities that are due to structural racism (i.e., sociopolitical policies and practices that created and perpetuate harmful health outcomes through inequities of opportunities and resources). We review foundational misconceptions about race, racism, genetics, and ancestry that shape research and clinical practice with a focus on kidney disease and related health outcomes. We also provide recommendations on how to embed key equity-enhancing concepts, terms, and principles into research, clinical practice, and medical publishing standards.
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Affiliation(s)
- Dinushika Mohottige
- Division of Nephrology, Department of Medicine, Duke University School of Medicine, Durham, North Carolina,Center for Community and Population Health Improvement, Duke Clinical and Translational Science Institute, Duke University School of Medicine, Durham, North Carolina
| | - L. Ebony Boulware
- Center for Community and Population Health Improvement, Duke Clinical and Translational Science Institute, Duke University School of Medicine, Durham, North Carolina,Division of General Internal Medicine, Department of Medicine, Duke University School of Medicine, Durham, North Carolina
| | - Chandra L. Ford
- Department of Community Health Science, University of California, Los Angeles School of Public Health, Los Angeles, California,Center for the Study of Racism, Social Justice & Health, University of California, Los Angeles School of Public Health, Los Angeles, California
| | - Camara Jones
- Department of Community Health and Preventive Medicine, Morehouse School of Medicine, Atlanta, Georgia,Department of Epidemiology, Rollins School of Public Health at Emory University, Atlanta, Georgia,Department of Behavioral Sciences and Health Education, Rollins School of Public Health at Emory University, Atlanta, Georgia
| | - Keith C. Norris
- Center for the Study of Racism, Social Justice & Health, University of California, Los Angeles School of Public Health, Los Angeles, California,Division of General Internal Medicine and Health Services Research, David Geffen School of Medicine at University of California, Los Angeles, Los Angeles, California
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Boulware LE, Corbie G, Aguilar-Gaxiola S, Wilkins CH, Ruiz R, Vitale A, Egede LE. Combating Structural Inequities - Diversity, Equity, and Inclusion in Clinical and Translational Research. N Engl J Med 2022; 386:201-203. [PMID: 35029847 DOI: 10.1056/nejmp2112233] [Citation(s) in RCA: 45] [Impact Index Per Article: 22.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/19/2022]
Affiliation(s)
- L Ebony Boulware
- From Duke University School of Medicine, Durham (L.E.B.), and the University of North Carolina at Chapel Hill School of Medicine, Chapel Hill (G.C.) - both in North Carolina; the University of California, Davis, School of Medicine, Sacramento (S.A.-G.); Vanderbilt University School of Medicine, Nashville (C.H.W.); the University of Rochester Medical Center, Rochester, NY (R.R., A.V.); and the Medical College of Wisconsin, Milwaukee (L.E.E.)
| | - Giselle Corbie
- From Duke University School of Medicine, Durham (L.E.B.), and the University of North Carolina at Chapel Hill School of Medicine, Chapel Hill (G.C.) - both in North Carolina; the University of California, Davis, School of Medicine, Sacramento (S.A.-G.); Vanderbilt University School of Medicine, Nashville (C.H.W.); the University of Rochester Medical Center, Rochester, NY (R.R., A.V.); and the Medical College of Wisconsin, Milwaukee (L.E.E.)
| | - Sergio Aguilar-Gaxiola
- From Duke University School of Medicine, Durham (L.E.B.), and the University of North Carolina at Chapel Hill School of Medicine, Chapel Hill (G.C.) - both in North Carolina; the University of California, Davis, School of Medicine, Sacramento (S.A.-G.); Vanderbilt University School of Medicine, Nashville (C.H.W.); the University of Rochester Medical Center, Rochester, NY (R.R., A.V.); and the Medical College of Wisconsin, Milwaukee (L.E.E.)
| | - Consuelo H Wilkins
- From Duke University School of Medicine, Durham (L.E.B.), and the University of North Carolina at Chapel Hill School of Medicine, Chapel Hill (G.C.) - both in North Carolina; the University of California, Davis, School of Medicine, Sacramento (S.A.-G.); Vanderbilt University School of Medicine, Nashville (C.H.W.); the University of Rochester Medical Center, Rochester, NY (R.R., A.V.); and the Medical College of Wisconsin, Milwaukee (L.E.E.)
| | - Raquel Ruiz
- From Duke University School of Medicine, Durham (L.E.B.), and the University of North Carolina at Chapel Hill School of Medicine, Chapel Hill (G.C.) - both in North Carolina; the University of California, Davis, School of Medicine, Sacramento (S.A.-G.); Vanderbilt University School of Medicine, Nashville (C.H.W.); the University of Rochester Medical Center, Rochester, NY (R.R., A.V.); and the Medical College of Wisconsin, Milwaukee (L.E.E.)
| | - Alfred Vitale
- From Duke University School of Medicine, Durham (L.E.B.), and the University of North Carolina at Chapel Hill School of Medicine, Chapel Hill (G.C.) - both in North Carolina; the University of California, Davis, School of Medicine, Sacramento (S.A.-G.); Vanderbilt University School of Medicine, Nashville (C.H.W.); the University of Rochester Medical Center, Rochester, NY (R.R., A.V.); and the Medical College of Wisconsin, Milwaukee (L.E.E.)
| | - Leonard E Egede
- From Duke University School of Medicine, Durham (L.E.B.), and the University of North Carolina at Chapel Hill School of Medicine, Chapel Hill (G.C.) - both in North Carolina; the University of California, Davis, School of Medicine, Sacramento (S.A.-G.); Vanderbilt University School of Medicine, Nashville (C.H.W.); the University of Rochester Medical Center, Rochester, NY (R.R., A.V.); and the Medical College of Wisconsin, Milwaukee (L.E.E.)
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Boulware LE, Vitale A, Ruiz R, Corbie G, Aguilar-Gaxiola S, Wilkins CH, Egede LE. Author Correction: Diversity, equity and inclusion actions from the NCATS Clinical and Translational Science awarded programs. Nat Med 2022; 28:2217. [PMID: 35945285 PMCID: PMC9744123 DOI: 10.1038/s41591-022-01995-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/27/2023]
Affiliation(s)
- L. Ebony Boulware
- grid.26009.3d0000 0004 1936 7961Duke University School of Medicine, Durham, NC USA
| | - Alfred Vitale
- grid.412750.50000 0004 1936 9166University of Rochester Medical Center, Rochester, NY USA
| | - Raquel Ruiz
- grid.26009.3d0000 0004 1936 7961Duke University School of Medicine, Durham, NC USA
| | - Giselle Corbie
- grid.10698.360000000122483208University of North Carolina Chapel Hill School of Medicine, Chapel Hill, NC USA
| | - Sergio Aguilar-Gaxiola
- grid.27860.3b0000 0004 1936 9684University California Davis School of Medicine, Sacramento, CA USA
| | - Consuelo H. Wilkins
- grid.412807.80000 0004 1936 9916Vanderbilt University Medical Center, Nashville, TN USA
| | - Leonard E. Egede
- grid.30760.320000 0001 2111 8460Medical College of Wisconsin, Milwaukee, WI USA
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Bhavsar NA, Davenport CA, Yang LZ, Peskoe S, Scialla JJ, Hall RK, Tyson CC, Strigo T, Sims M, Pendergast J, Curtis LH, Boulware LE, Diamantidis CJ. Psychosocial determinants of cardiovascular events among black Americans with chronic kidney disease or associated risk factors in the Jackson heart study. BMC Nephrol 2021; 22:375. [PMID: 34763649 PMCID: PMC8582093 DOI: 10.1186/s12882-021-02594-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/24/2021] [Accepted: 10/19/2021] [Indexed: 11/18/2022] Open
Abstract
Background Individuals with chronic kidney disease (CKD), hypertension (HTN), or diabetes mellitus (DM) are at increased risk for cardiovascular disease (CVD). The extent to which psychosocial factors are associated with increased CVD risk within these individuals is unclear. Black individuals experience a high degree of psychosocial stressors due to socioeconomic factors, environment, racism, and discrimination. We examined the association between psychosocial factors and risk of CVD events among Black men and women with CKD and CKD risk factors in the Jackson Heart Study. Methods and Results We identified 1919 participants with prevalent CKD or CKD risk factors at baseline. We used rotated principal component analysis - a form of unsupervised machine learning that may identify constructs not intuitively identified by a person - to describe five groups of psychosocial components (including negative moods, religiosity, discrimination, negative outlooks, and negative coping resources) based on a battery of questionnaires. Multiple imputation by chained equation (MICE) was used to impute missing covariate data. Cox models were used to quantify the association between psychosocial components and incident CVD, defined as a fatal coronary heart disease event, myocardial infarction, cardiac procedure (angiography or revascularization procedure), or stroke. Of the 929 participants in the analysis, 67% were female, 28% were current/former smokers with mean age of 56 years and mean BMI of 33 kg/m2. Over a median follow-up of 8 years, 6% had an incident CVD event. In multivariable models, each standard deviation (SD) increase in the religiosity component was associated with an increased hazard for CVD event (hazard ratio [HR] = 1.52, 95% CI: 1.09–2.13). Conclusions Religiosity was associated with CVD among participants with prevalent CKD or CKD risk factors. Studies to better understand the mechanisms of this relationship are needed. Supplementary Information The online version contains supplementary material available at 10.1186/s12882-021-02594-6.
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Affiliation(s)
- Nrupen A Bhavsar
- Division of General Internal Medicine, Duke University School of Medicine, 200 Morris St, 3rd Floor, NC, 27701, Durham, USA. .,Department of Biostatistics and Bioinformatics, Duke University School of Medicine, Durham, NC, USA.
| | - Clemontina A Davenport
- Department of Biostatistics and Bioinformatics, Duke University School of Medicine, Durham, NC, USA
| | - Lexie Zidanyue Yang
- Department of Biostatistics and Bioinformatics, Duke University School of Medicine, Durham, NC, USA
| | - Sarah Peskoe
- Department of Biostatistics and Bioinformatics, Duke University School of Medicine, Durham, NC, USA
| | - Julia J Scialla
- Division of Nephrology, Duke University School of Medicine, Durham, NC, USA.,Departments of Medicine and Public Health Sciences, University of Virginia School of Medicine, Charlottesville, VA, USA
| | - Rasheeda K Hall
- Division of Nephrology, Duke University School of Medicine, Durham, NC, USA
| | - Crystal C Tyson
- Division of Nephrology, Duke University School of Medicine, Durham, NC, USA
| | - Tara Strigo
- Division of General Internal Medicine, Duke University School of Medicine, 200 Morris St, 3rd Floor, NC, 27701, Durham, USA
| | - Mario Sims
- University of Mississippi School of Medicine, Jackson, MS, USA
| | - Jane Pendergast
- Department of Biostatistics and Bioinformatics, Duke University School of Medicine, Durham, NC, USA
| | - Lesley H Curtis
- Department of Population Health Sciences, Duke University School of Medicine, Durham, NC, USA
| | - L Ebony Boulware
- Division of General Internal Medicine, Duke University School of Medicine, 200 Morris St, 3rd Floor, NC, 27701, Durham, USA
| | - Clarissa J Diamantidis
- Division of General Internal Medicine, Duke University School of Medicine, 200 Morris St, 3rd Floor, NC, 27701, Durham, USA.,Division of Nephrology, Duke University School of Medicine, Durham, NC, USA
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Barrett TM, Green JA, Greer RC, Ephraim PL, Peskoe S, Pendergast JF, Hauer CL, Strigo TS, Norfolk E, Bucaloiu ID, Diamantidis CJ, Hill-Briggs F, Browne T, Jackson GL, Boulware LE. Preferences for and Experiences of Shared and Informed Decision Making Among Patients Choosing Kidney Replacement Therapies in Nephrology Care. Kidney Med 2021; 3:905-915.e1. [PMID: 34939000 PMCID: PMC8664702 DOI: 10.1016/j.xkme.2021.05.011] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022] Open
Abstract
RATIONALE & OBJECTIVE Chronic kidney disease (CKD) can progress rapidly, and patients are often unprepared to make kidney failure treatment decisions. We aimed to better understand patients' preferences for and experiences of shared and informed decision making (SDM) regarding kidney replacement therapy before kidney failure. STUDY DESIGN Cross-sectional study. SETTING & PARTICIPANTS Adults receiving nephrology care at CKD clinics in rural Pennsylvania. PREDICTORS Estimated glomerular filtration rate, 2-year risk for kidney failure, duration and frequency of nephrology care, and preference for SDM. OUTCOMES Occurrence and extent of kidney replacement therapy discussions and participants' satisfaction with those discussions. ANALYTIC APPROACH Multivariable logistic regression to quantify associations between participants' characteristics and whether they had discussions. RESULTS The 447 study participants had a median age of 72 (IQR, 64-80) years and mean estimated glomerular filtration rate of 33 (SD, 12) mL/min/1.73 m2. Most (96%) were White, high school educated (67%), and retired (65%). Most (72%) participants preferred a shared approach to kidney treatment decision making, and only 35% discussed dialysis or transplantation with their kidney teams. Participants who had discussions (n = 158) were often completely satisfied (63%) but infrequently discussed potential treatment-related impacts on their lives. In multivariable analyses, those with a high risk for kidney failure within 2 years (OR, 3.24 [95% CI, 1.72-6.11]; P < 0.01), longer-term nephrology care (OR, 1.12 [95% CI, 1.05-1.20] per 1 additional year; P < 0.01), and more nephrology visits in the prior 2 years (OR, 1.34 [95% CI, 1.20-1.51] per 1 additional visit; P < 0.01) had higher odds of having discussed dialysis or transplantation. LIMITATIONS Single health system study. CONCLUSIONS Most patients preferred sharing CKD treatment decisions with their providers, but treatment discussions were infrequent and often did not address key treatment impacts. Longitudinal nephrology care and frequent visits may help ensure that patients have optimal SDM experiences.
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Affiliation(s)
- Tyler M. Barrett
- Division of General Internal Medicine, Duke University School of Medicine, Durham, NC
| | - Jamie A. Green
- Department of Nephrology, Geisinger Commonwealth School of Medicine, Danville, PA
- Kidney Health Research Institute, Danville, PA
| | - Raquel C. Greer
- Welch Center for Prevention, Epidemiology, and Clinical Research, Baltimore, MD
- Division of General Internal Medicine, Johns Hopkins University, Baltimore, MD
| | - Patti L. Ephraim
- Welch Center for Prevention, Epidemiology, and Clinical Research, Baltimore, MD
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD
| | - Sarah Peskoe
- Department of Biostatistics and Bioinformatics, Duke University School of Medicine, Durham, NC
| | - Jane F. Pendergast
- Department of Biostatistics and Bioinformatics, Duke University School of Medicine, Durham, NC
| | - Chelsie L. Hauer
- Center for Clinical Innovation, Institute for Advanced Application, Danville, PA
| | - Tara S. Strigo
- Division of General Internal Medicine, Duke University School of Medicine, Durham, NC
| | - Evan Norfolk
- Department of Nephrology, Geisinger Commonwealth School of Medicine, Danville, PA
| | - Ion Dan Bucaloiu
- Department of Nephrology, Geisinger Commonwealth School of Medicine, Danville, PA
| | - Clarissa J. Diamantidis
- Division of General Internal Medicine, Duke University School of Medicine, Durham, NC
- Division of Nephrology, Duke University School of Medicine, Durham, NC
| | - Felicia Hill-Briggs
- Welch Center for Prevention, Epidemiology, and Clinical Research, Baltimore, MD
- Division of General Internal Medicine, Johns Hopkins University, Baltimore, MD
| | - Teri Browne
- College of Social Work, University of South Carolina, Columbia, SC
| | - George L. Jackson
- Center for Innovation to Accelerate Discovery and Practice Transformation, Durham Veterans Affairs Medical Center, Durham, NC
- Department of Population Health Sciences, Duke University School of Medicine, Durham, NC
| | - L. Ebony Boulware
- Division of General Internal Medicine, Duke University School of Medicine, Durham, NC
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Mohottige D, McElroy LM, Boulware LE. A Cascade of Structural Barriers Contributing to Racial Kidney Transplant Inequities. Adv Chronic Kidney Dis 2021; 28:517-527. [PMID: 35367020 DOI: 10.1053/j.ackd.2021.10.009] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/25/2021] [Revised: 10/17/2021] [Accepted: 10/27/2021] [Indexed: 11/11/2022]
Abstract
Stark racial disparities in access to and receipt of kidney transplantation, especially living donor and pre-emptive transplantation, have persisted despite decades of investigation and intervention. The causes of these disparities are complex, are inter-related, and result from a cascade of structural barriers to transplantation which disproportionately impact minoritized individuals and communities. Structural barriers contributing to racial transplant inequities have been acknowledged but are often not fully explored with regard to transplant equity. We describe longstanding racial disparities in transplantation, and we discuss contributing structural barriers which occur along the transplant pathway including pretransplant health care, evaluation, referral processes, and the evaluation of transplant candidates. We also consider the role of multilevel socio-contextual influences on these processes. We believe focused efforts which apply an equity lens to key transplant processes and systems are required to achieve greater structural competency and, ultimately, racial transplant equity.
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Affiliation(s)
- Dinushika Mohottige
- Division of Nephrology, Department of Medicine, Duke University School of Medicine, Durham, NC; Center for Community and Population Health Improvement, Clinical and Translational Science Institute, Duke University School of Medicine, Durham, NC.
| | - Lisa M McElroy
- Division of Abdominal Transplant, Department of Surgery, Duke University School of Medicine, Durham, NC; Department of Population Health Sciences, Duke University School of Medicine, Durham, NC
| | - L Ebony Boulware
- Center for Community and Population Health Improvement, Clinical and Translational Science Institute, Duke University School of Medicine, Durham, NC; Division of General Internal Medicine, Department of Medicine, Duke University School of Medicine, Durham, NC
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40
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Barrett TM, Davenport CA, Ephraim PL, Peskoe S, Mohottige D, DePasquale N, McElroy L, Boulware LE. Disparities in Discussions about Kidney Replacement Therapy in CKD Care. Kidney360 2021; 3:158-163. [PMID: 35368562 PMCID: PMC8967603 DOI: 10.34067/kid.0004752021] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/19/2021] [Accepted: 10/22/2021] [Indexed: 01/10/2023]
Abstract
Participants who identified as female and Black reported more thorough discussions of dialysis than transplant.Participants with low incomes and education reported more thorough discussions of dialysis than transplant.
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Affiliation(s)
- Tyler M. Barrett
- Division of General Internal Medicine, Duke University School of Medicine, Durham, North Carolina
| | - Clemontina A. Davenport
- Department of Biostatistics and Bioinformatics, Duke University School of Medicine, Durham, North Carolina
| | - Patti L. Ephraim
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland,Welch Center for Prevention, Epidemiology and Clinical Research, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland
| | - Sarah Peskoe
- Department of Biostatistics and Bioinformatics, Duke University School of Medicine, Durham, North Carolina
| | - Dinushika Mohottige
- Division of General Internal Medicine, Duke University School of Medicine, Durham, North Carolina,Division of Nephrology, Duke University School of Medicine, Durham, North Carolina
| | - Nicole DePasquale
- Division of General Internal Medicine, Duke University School of Medicine, Durham, North Carolina
| | - Lisa McElroy
- Division of General Internal Medicine, Duke University School of Medicine, Durham, North Carolina,Division of Abdominal Transplant, Duke University School of Medicine, Durham, North Carolina
| | - L. Ebony Boulware
- Division of General Internal Medicine, Duke University School of Medicine, Durham, North Carolina
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Affiliation(s)
- Raina M Merchant
- Penn Medicine Center for Digital Health, University of Pennsylvania Perelman School of Medicine, Philadelphia
- Department of Emergency Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia
| | - Carlos Del Rio
- Division of Infectious Diseases, Department of Medicine, Emory University School of Medicine, Atlanta, Georgia
- Department of Global Health, Rollins School of Public Health, Emory University, Atlanta, Georgia
| | - L Ebony Boulware
- Division of General Internal Medicine, Department of Medicine, Duke University, Durham, North Carolina
- Duke Clinical and Translational Science Institute, Duke University, Durham, North Carolina
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Purnell TS, Simpson DC, Callender CO, Boulware LE. Dismantling structural racism as a root cause of racial disparities in COVID-19 and transplantation. Am J Transplant 2021; 21:2327-2332. [PMID: 33599027 PMCID: PMC8014768 DOI: 10.1111/ajt.16543] [Citation(s) in RCA: 24] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/18/2020] [Revised: 01/27/2021] [Accepted: 01/29/2021] [Indexed: 01/25/2023]
Abstract
As the United States faces unparalleled challenges due to COVID-19, racial disparities in health and healthcare have once again taken center stage. If effective interventions to address racial disparities in transplantation, including those magnified by COVID-19, are to be designed and implemented at the national level, it is first critical to understand the complex mechanisms by which structural, institutional, interpersonal, and internalized racism influence the presence of racial disparities in healthcare and transplantation. Specifically, we must deeply re-evaluate how scientists and clinicians think about race in the transplant context, and we must actively shift our efforts from merely observing disparities to acknowledging and acting on racism as a root cause underlying the vast majority of these disparities. We must do better to ensure equitable access and outcomes for all transplant patients, including within the current COVID-19 pandemic. We respectfully offer this viewpoint as a call to action to every reader to join us in working together to help dismantle racist influences and advance transplant equity.
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Affiliation(s)
- Tanjala S. Purnell
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA,Division of Transplantation, Department of Surgery, Johns Hopkins School of Medicine, Baltimore, Maryland, USA,National Minority Organ Tissue Transplant Education Program, Washington, DC, USA,Correspondence Tanjala S. Purnell, Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
| | - Dinee C. Simpson
- Department of Surgery, Feinberg School of Medicine, Northwestern University, Chicago, Illinois, USA,African American Transplant Access Program, Northwestern University, Chicago, Illinois, USA
| | - Clive O. Callender
- National Minority Organ Tissue Transplant Education Program, Washington, DC, USA,Department of Surgery, Howard University College of Medicine, Washington, DC, USA
| | - L. Ebony Boulware
- Division of General Internal Medicine, Department of Medicine, Duke University, Durham, North Carolina, USA,Vice Dean for Translational Science and Associate Vice Chancellor for Research, Duke University, North Carolina, USA
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Shaw BI, Samoylova ML, Sanoff S, Barbas AS, Sudan DL, Boulware LE, McElroy LM. Need for improvements in simultaneous heart-kidney allocation: The limitation of pretransplant glomerular filtration rate. Am J Transplant 2021; 21:2468-2478. [PMID: 33350052 PMCID: PMC8412966 DOI: 10.1111/ajt.16466] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/18/2020] [Revised: 12/14/2020] [Accepted: 12/16/2020] [Indexed: 01/25/2023]
Abstract
The incidence of simultaneous heart-kidney transplant (SHK) has increased markedly in the last 15 years. There are no universally agreed upon indications for SHK vs. heart alone (HA) transplant, and center evaluation processes vary widely. We utilized Scientific Registry of Transplant Recipients data from 2003 to 2017 to quantify changes in the practice of SHK, examine the survival of SHK vs. HA, and identify patients with marginal benefit from SHK. We used Kaplan-Meier curves and Cox proportional hazards to assess differences in survival. The incidence of SHK increased more than fourfold between 2003 and 2017 from 1.6% to 6.6% of total hearts transplanted, while the proportion of dialysis-dependent patients undergoing SHK has remained constant. SHK was associated with increased survival in dialysis-dependent patients (Median Survival SHK: 12.6 vs. HA: 7.1 years p < .0001) but not with nondialysis-dependent patients (Median Survival SHK: 12.5 vs. HA 12.3, p = .24). The marginal effect of SHK in decreasing the hazard of death diminished with increasing eGFR. Delayed graft function occurred in 26% of SHK recipients. Posttransplant chronic dialysis was similar for both operations (6.4% of HA and 6.0% of SHK). Further study is needed to define patients who benefit from SHK.
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Affiliation(s)
- Brian I Shaw
- Division of Abdominal Transplantation, Department of Surgery, Duke University, Durham, NC
| | - Mariya L Samoylova
- Division of Abdominal Transplantation, Department of Surgery, Duke University, Durham, NC
| | - Scott Sanoff
- Division of Nephrology, Department of Medicine, Duke University, Durham, NC
| | - Andrew S Barbas
- Division of Abdominal Transplantation, Department of Surgery, Duke University, Durham, NC
| | - Debra L Sudan
- Division of Abdominal Transplantation, Department of Surgery, Duke University, Durham, NC
| | - L. Ebony Boulware
- Division of General Internal Medicine, Department of Medicine, Duke University, Durham, NC
| | - Lisa M McElroy
- Division of Abdominal Transplantation, Department of Surgery, Duke University, Durham, NC
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Hall RK, Morton S, Wilson J, Ephraim PL, Boulware LE, St Peter WL, Colón-Emeric C, Pendergast J, Scialla JJ. Risks associated with continuation of potentially inappropriate antihypertensive medications in older adults receiving hemodialysis. BMC Nephrol 2021; 22:232. [PMID: 34147085 PMCID: PMC8214789 DOI: 10.1186/s12882-021-02438-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/28/2021] [Accepted: 05/31/2021] [Indexed: 11/10/2022] Open
Abstract
Background and objectives After dialysis initiation, older adults may experience orthostatic or post-dialysis hypotension. Some orthostasis-causing antihypertensives (i.e., central alpha agonists and alpha blockers), are considered potentially inappropriate medications (PIMs) for older adults because they carry more risk than benefit. We sought to (1) describe antihypertensive PIM prescribing patterns before and after dialysis initiation and (2) ascertain the potential risk of adverse outcomes when these medications are continued after dialysis initiation. Design, setting, participants, and measurements Using United States Renal Data System data, we evaluated monthly prevalence of antihypertensive PIM claims in the period before and after dialysis initiation among older adults aged ≥66 years initiating in-center hemodialysis in the US between 2013 and 2014. Patients with an antihypertensive PIM prescription at hemodialysis initiation and who survived for 120 days were classified as ‘continuers’ or ‘discontinuers’ based on presence or absence of a refill within the 120 days after initiation. We compared rates of hospitalization and risk of death across these groups from day 121 through 24 months after dialysis initiation. Results Our study included 30,760 total patients, of whom 5981 (19%) patients had an antihypertensive PIM claim at dialysis initiation and survived ≥120 days. Most [65% (n = 3920)] were continuers. Those who continued (versus discontinued) were more likely to be black race (26% versus 21%), have dual Medicare-Medicaid coverage (31% versus 27%), have more medications on average (12 versus 9) and have no functional limitations (84% versus 80%). Continuers experienced fewer all-cause hospitalizations and deaths, but neither were statistically significant after adjustment (Hospitalization: RR 0.93, 95% CI 0.86, 1.00; Death: HR 0.89, 95% CI: 0.78–1.02). Conclusions Nearly one in five older adults had an antihypertensive PIM at dialysis initiation. Among those who survived ≥120 days, continuation of an antihypertensive PIM was not associated with increased risk of all-cause hospitalization or mortality.
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Affiliation(s)
- Rasheeda K Hall
- Department of Medicine, Duke University School of Medicine, Box DUMC 2747, 2424 Erwin Road Suite 605, Durham, NC, 27710, USA. .,Durham Veterans Affairs Medical Center, Durham, NC, USA.
| | - Sarah Morton
- Biostatistics and Bioinformatics, Duke University School of Medicine, Durham, NC, USA
| | - Jonathan Wilson
- Biostatistics and Bioinformatics, Duke University School of Medicine, Durham, NC, USA
| | - Patti L Ephraim
- Department of Epidemiology, Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD, USA
| | - L Ebony Boulware
- Department of Medicine, Duke University School of Medicine, Box DUMC 2747, 2424 Erwin Road Suite 605, Durham, NC, 27710, USA
| | - Wendy L St Peter
- Department of Pharmaceutical Care and Health Systems, University of Minnesota College of Pharmacy, Minneapolis, MN, USA
| | - Cathleen Colón-Emeric
- Department of Medicine, Duke University School of Medicine, Box DUMC 2747, 2424 Erwin Road Suite 605, Durham, NC, 27710, USA.,Durham Veterans Affairs Medical Center, Durham, NC, USA
| | - Jane Pendergast
- Biostatistics and Bioinformatics, Duke University School of Medicine, Durham, NC, USA
| | - Julia J Scialla
- Departments of Medicine and Public Health Sciences, University of Virginia School of Medicine, Charlottesville, VA, USA
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Pilla SJ, Park J, Schwartz JL, Albert MC, Ephraim PL, Boulware LE, Mathioudakis NN, Maruthur NM, Beach MC, Greer RC. Hypoglycemia Communication in Primary Care Visits for Patients with Diabetes. J Gen Intern Med 2021; 36:1533-1542. [PMID: 33479925 PMCID: PMC8175615 DOI: 10.1007/s11606-020-06385-x] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/14/2020] [Accepted: 12/02/2020] [Indexed: 02/07/2023]
Abstract
BACKGROUND Hypoglycemia is a common and serious adverse effect of diabetes treatment, especially for patients using insulin or insulin secretagogues. Guidelines recommend that these patients be assessed for interval hypoglycemic events at each clinical encounter and be provided anticipatory guidance for hypoglycemia prevention. OBJECTIVE To determine the frequency and content of hypoglycemia communication in primary care visits. DESIGN Qualitative study PARTICIPANTS: We examined 83 primary care visits from one urban health practice representing 8 clinicians and 33 patients using insulin or insulin secretagogues. APPROACH Using a directed content analysis approach, we analyzed audio-recorded primary care visits collected as part of the Achieving Blood Pressure Control Together study, a randomized trial of behavioral interventions for hypertension. The coding framework included communication about interval hypoglycemia, defined as discussion of hypoglycemic events or symptoms; the components of hypoglycemia anticipatory guidance in diabetes guidelines; and hypoglycemia unawareness. Hypoglycemia documentation in visit notes was compared to visit transcripts. KEY RESULTS Communication about interval hypoglycemia occurred in 24% of visits, and hypoglycemic events were reported in 16%. Despite patients voicing fear of hypoglycemia, clinicians rarely assessed hypoglycemia frequency, severity, or its impact on quality of life. Hypoglycemia anticipatory guidance was provided in 21% of visits which focused on diet and behavior change; clinicians rarely counseled on hypoglycemia treatment or avoidance of driving. Limited discussions of hypoglycemia unawareness occurred in 8% of visits. Documentation in visit notes had low sensitivity but high specificity for ascertaining interval hypoglycemia communication or hypoglycemic events, compared to visit transcripts. CONCLUSIONS In this high hypoglycemia risk population, communication about interval hypoglycemia and counseling for hypoglycemia prevention occurred in a minority of visits. There is a need to support clinicians to more regularly assess their patients' hypoglycemia burden and enhance counseling practices in order to optimize hypoglycemia prevention in primary care.
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Affiliation(s)
- Scott J Pilla
- Department of Medicine, Division of General Internal Medicine, The Johns Hopkins University School of Medicine, Baltimore, MD, USA.
- Welch Center for Prevention, Epidemiology & Clinical Research, Baltimore, MD, USA.
| | - Jenny Park
- Department of Medicine, Division of General Internal Medicine, The Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Jessica L Schwartz
- Department of Medicine, Division of General Internal Medicine, The Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Michael C Albert
- Department of Medicine, Division of General Internal Medicine, The Johns Hopkins University School of Medicine, Baltimore, MD, USA
- Johns Hopkins Community Physicians, Johns Hopkins University, Baltimore, MD, USA
| | - Patti L Ephraim
- Welch Center for Prevention, Epidemiology & Clinical Research, Baltimore, MD, USA
- Department of Epidemiology, The Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - L Ebony Boulware
- Division of General Internal Medicine, Duke University, Durham, NC, USA
| | - Nestoras N Mathioudakis
- Department of Medicine, Division of Endocrinology, Diabetes, & Metabolism, The Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Nisa M Maruthur
- Department of Medicine, Division of General Internal Medicine, The Johns Hopkins University School of Medicine, Baltimore, MD, USA
- Welch Center for Prevention, Epidemiology & Clinical Research, Baltimore, MD, USA
- Department of Epidemiology, The Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Mary Catherine Beach
- Department of Medicine, Division of General Internal Medicine, The Johns Hopkins University School of Medicine, Baltimore, MD, USA
- Welch Center for Prevention, Epidemiology & Clinical Research, Baltimore, MD, USA
- Department of Health, Behavior & Society, The Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Raquel C Greer
- Department of Medicine, Division of General Internal Medicine, The Johns Hopkins University School of Medicine, Baltimore, MD, USA
- Welch Center for Prevention, Epidemiology & Clinical Research, Baltimore, MD, USA
- Department of Epidemiology, The Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
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Johnson KS, Gbadegesin R, McMillan AE, Molner S, Boulware LE, Svetkey LP. Diversifying the Research Workforce as a Programmatic Priority for a Career Development Award Program at Duke University. Acad Med 2021; 96:836-841. [PMID: 34031305 PMCID: PMC8162265 DOI: 10.1097/acm.0000000000004002] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/12/2023]
Abstract
The National Institutes of Health (NIH) has prioritized efforts to increase diversity in the biomedical research workforce. NIH-funded institutional career development awards may serve as one mechanism to facilitate these efforts. In 2013, the Duke University KL2 program, an internal career development program funded by the National Center for Advancing Translational Sciences, set a goal to increase the number of investigators from underrepresented racial and ethnic groups (UREGs) to ≥ 50% of KL2 awardees. From 2013 to 2019, 133 KL2 applications were received, 38% from UREG investigators. Of the 21 scholars selected, 10 (47.6%) were UREG investigators; all were Black/African American. This represents a threefold increase in the proportion of UREG applications and a sixfold increase in the proportion of UREG KL2 scholars compared with Duke's previous KL2 cycles (2003-2012), during which only 13% of applicants and 8.3% of funded scholars were UREGs. Of the 12 KL2 scholars (7 UREG) who completed the program, 5 have received NIH funding as principal investigators of an external K award or R01, and 4 of them are UREG investigators; this constitutes a post-KL2 NIH funding success rate of 57% (4/7) for UREG scholars. Achieving this programmatic priority was facilitated by institutional support, clear communication of goals to increase the proportion of UREG KL2 awardees, and intentional strategies to identify and support applicants. Strategies included targeted outreach to UREG investigators, partnerships with other institutional entities, structured assistance for investigators with preparing their applications, and a KL2 program structure addressing common barriers to success for UREG investigators, such as lack of consistent mentorship, protected research time, and peer support. The authors' experience suggests that KL2 and other internal career development programs may represent a scalable, national strategy to increase diversity in the biomedical research workforce.
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Affiliation(s)
- Kimberly S Johnson
- K.S. Johnson is professor, Department of Medicine, Duke University School of Medicine, and physician researcher, Geriatrics Research Education and Clinical Center, Durham Veterans Administration Medical Center, Durham, North Carolina
| | - Rasheed Gbadegesin
- R. Gbadegesin is professor, Department of Medicine, and professor, Department of Pediatrics, Duke University School of Medicine, Durham, North Carolina
| | - Amanda E McMillan
- A.E. McMillan is senior staff director for workforce development, Clinical and Translational Science Institute, Duke University, Durham, North Carolina
| | - Stephanie Molner
- S. Molner is administrative manager, Clinical and Translational Science Institute, Duke University, Durham, North Carolina
| | - L Ebony Boulware
- L.E. Boulware is professor and chief of the Division of General Internal Medicine, Department of Medicine, and vice dean for translational sciences, Duke University School of Medicine, Durham, North Carolina
| | - Laura P Svetkey
- L.P. Svetkey is professor and vice chair for faculty development and diversity, Department of Medicine, Duke University School of Medicine, Durham, North Carolina
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Boulware LE, Sudan DL, Strigo TS, Ephraim PL, Davenport CA, Pendergast JF, Pounds I, Riley JA, Falkovic M, Alkon A, Hill-Briggs F, Cabacungan AN, Barrett TM, Mohottige D, McElroy L, Diamantidis CJ, Ellis MJ. Transplant social worker and donor financial assistance to increase living donor kidney transplants among African Americans: The TALKS Study, a randomized comparative effectiveness trial. Am J Transplant 2021; 21:2175-2187. [PMID: 33210831 DOI: 10.1111/ajt.16403] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/08/2020] [Revised: 10/14/2020] [Accepted: 10/31/2020] [Indexed: 01/25/2023]
Abstract
Lack of donors hinders living donor kidney transplantation (LDKT) for African Americans. We studied the effectiveness of a transplant social worker intervention (TALK SWI) alone or paired with living donor financial assistance to activate African Americans' potential living kidney donors. African Americans (N = 300) on the transplant waiting list were randomly assigned to usual care; TALK SWI; or TALK SWI plus Living Donor Financial Assistance. We quantified differences in live kidney donor activation (composite rate of live donor inquiries, completed new live donor evaluations, or live kidney donation) after 12 months. Participants' mean age was 52 years, 56% were male, and 43% had annual household income less than $40,000. Most previously pursued LDKT. Participants were highly satisfied with TALK social workers, but they rarely utilized Financial Assistance. After 12 months, few (n = 39, 13%) participants had a new donor activation event (35 [12%] new donor inquiries; 17 [6%] new donor evaluations; 4 [1%] LDKT). There were no group differences in donor activation events (subdistribution hazard ratio [95% CI]: 1.09 [0.51-2.30] for TALK SWI and 0.92 [0.42-2.02] for TALK SWI plus Financial Assistance compared to Usual Care, p = 91). Alternative interventions to increase LDKT for African Americans on the waiting list may be needed. Trial registration: ClinicalTrials.gov (NCT02369354).
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Affiliation(s)
- L Ebony Boulware
- Division of General Internal Medicine, Department of Medicine, Duke University School of Medicine, Durham, NC, USA
| | - Debra L Sudan
- Division of Abdominal Transplant, Duke Department of Surgery, Duke University School of Medicine, Durham, NC, USA
| | - Tara S Strigo
- Division of General Internal Medicine, Department of Medicine, Duke University School of Medicine, Durham, NC, USA
| | - Patti L Ephraim
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.,Welch Center for Prevention, Epidemiology and Clinical Research, Baltimore, MD, USA
| | - Clemontina A Davenport
- Department of Biostatistics & Bioinformatics, Duke University School of Medicine, Durham, NC, USA
| | - Jane F Pendergast
- Department of Biostatistics & Bioinformatics, Duke University School of Medicine, Durham, NC, USA
| | - Iris Pounds
- Division of General Internal Medicine, Department of Medicine, Duke University School of Medicine, Durham, NC, USA
| | - Jennie A Riley
- Division of General Internal Medicine, Department of Medicine, Duke University School of Medicine, Durham, NC, USA
| | - Margaret Falkovic
- Division of General Internal Medicine, Department of Medicine, Duke University School of Medicine, Durham, NC, USA
| | - Aviel Alkon
- Division of General Internal Medicine, Department of Medicine, Duke University School of Medicine, Durham, NC, USA
| | - Felicia Hill-Briggs
- Welch Center for Prevention, Epidemiology and Clinical Research, Baltimore, MD, USA.,Division of General Internal Medicine, Johns Hopkins School of Medicine, Baltimore, MD, USA
| | - Ashley N Cabacungan
- Division of General Internal Medicine, Department of Medicine, Duke University School of Medicine, Durham, NC, USA
| | - Tyler M Barrett
- Division of General Internal Medicine, Department of Medicine, Duke University School of Medicine, Durham, NC, USA
| | - Dinushika Mohottige
- Division of General Internal Medicine, Department of Medicine, Duke University School of Medicine, Durham, NC, USA.,Division of Nephrology, Department of Medicine, Duke University School of Medicine, Durham, NC, USA
| | - Lisa McElroy
- Division of General Internal Medicine, Department of Medicine, Duke University School of Medicine, Durham, NC, USA.,Division of Abdominal Transplant, Duke Department of Surgery, Duke University School of Medicine, Durham, NC, USA
| | - Clarissa J Diamantidis
- Division of General Internal Medicine, Department of Medicine, Duke University School of Medicine, Durham, NC, USA.,Division of Nephrology, Department of Medicine, Duke University School of Medicine, Durham, NC, USA
| | - Matthew J Ellis
- Division of Nephrology, Department of Medicine, Duke University School of Medicine, Durham, NC, USA
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Green JA, Ephraim PL, Hill-Briggs F, Browne T, Strigo TS, Hauer CL, Yule C, Stametz RA, Littlewood D, Pendergast JF, Peskoe S, Clair Russell JS, Norfolk E, Bucaloiu ID, Kethireddy S, Davis D, dePrisco J, Malloy D, Fulmer S, Martin J, Schatell D, Tangri N, Sees A, Siegrist C, Breed J, Billet J, Hackenberg M, Bhavsar NA, Boulware LE. Integrated Digital Health System Tools to Support Decision Making and Treatment Preparation in CKD: The PREPARE NOW Study. Kidney Med 2021; 3:565-575.e1. [PMID: 34401724 PMCID: PMC8350843 DOI: 10.1016/j.xkme.2021.03.009] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/23/2022] Open
Abstract
Rationale & Objective Digital health system tools to support shared decision making and preparation for kidney replacement treatments for patients with chronic kidney disease (CKD) are needed. Study Design Descriptive study of the implementation of digital infrastructure to support a patient-centered health system intervention. Setting & Participants 4 CKD clinics within a large integrated health system. Exposure We developed an integrated suite of digital engagement tools to support patients’ shared decision making and preparation for kidney failure treatments. Tools included an automated CKD patient registry and risk prediction algorithm within the electronic health record (EHR) to identify and prioritize patients in need of nurse case management to facilitate shared decision making and preparation for kidney replacement treatments, an electronic patient-facing values clarification tool, a tracking application to document patients’ preparation for treatments, and an EHR work flow to broadcast patients’ treatment preferences to all health care providers. Outcomes Uptake and acceptability. Analytic Approach Mixed methods. Results From July 1, 2017, through June 30, 2018, the CKD registry identified 1,032 patients in 4 nephrology clinics, of whom 243 (24%) were identified as high risk for progressing to kidney failure within 2 years. Kidney Transitions Specialists enrolled 117 (48%) high-risk patients by the end of year 1. The values tool was completed by 30/33 (91%) patients who attended kidney modality education. Nurse case managers used the tracking application for 100% of patients to document 287 planning steps for kidney replacement therapy. Most (87%) high-risk patients had their preferred kidney replacement modality documented and displayed in the EHR. Nurse case managers reported that the tools facilitated their identification of patients needing support and their navigation activities. Limitations Single institution, short duration. Conclusions Digital health system tools facilitated rapid identification of patients needing shared and informed decision making and their preparation for kidney replacement treatments. Funding This work was supported through a Patient-Centered Outcomes Research Institute (PCORI) Project Program Award (IHS-1409-20967). Trial registration ClinicalTrials.gov NCT02722382.
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Affiliation(s)
- Jamie A Green
- Department of Nephrology, Geisinger Commonwealth School of Medicine, Geisinger, Danville, PA.,Kidney Health Research Institute, Geisinger, Danville, PA
| | - Patti L Ephraim
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD.,Welch Center for Prevention, Epidemiology and Clinical Research, Baltimore, MD
| | - Felicia Hill-Briggs
- Division of General Internal Medicine, Johns Hopkins University, Baltimore, MD
| | - Teri Browne
- College of Social Work, University of South Carolina, Columbia, SC
| | - Tara S Strigo
- Division of General Internal Medicine, Duke University School of Medicine, Durham, NC
| | - Chelsie L Hauer
- Center for Clinical Innovation, Institute for Advanced Application, Geisinger, Danville
| | - Christina Yule
- Center for Clinical Innovation, Institute for Advanced Application, Kidney Health Research Institute, Geisinger, Danville
| | - Rebecca A Stametz
- Center for Clinical Innovation, Institute for Advanced Application, Geisinger, Danville
| | - Diane Littlewood
- The Care Centered Collaborative, Pennsylvania Medical Society, Harrisburg, PA
| | - Jane F Pendergast
- Department of Biostatistics & Bioinformatics, Duke University School of Medicine, Durham, NC
| | - Sarah Peskoe
- Department of Biostatistics & Bioinformatics, Duke University School of Medicine, Durham, NC
| | | | - Evan Norfolk
- Department of Nephrology, Geisinger Commonwealth School of Medicine, Geisinger, Danville, PA
| | - Ion D Bucaloiu
- Department of Nephrology, Geisinger Medical Center, Danville, PA
| | - Shravan Kethireddy
- Critical Care Medicine, Northeast Georgia Health System, Gainesville, GA
| | - Daniel Davis
- Center for Translational Bioethics and Health Care Policy, Geisinger
| | - Jeremy dePrisco
- Center for Clinical Innovation, Institute for Advanced Application, Geisinger, Danville
| | - Dave Malloy
- Center for Clinical Innovation, Institute for Advanced Application, Geisinger, Danville
| | | | - Jennifer Martin
- Program Development, National Kidney Foundation, New York, NY
| | | | - Navdeep Tangri
- Section of Nephrology, Department of Medicine, University of Manitoba, MB, Canada.,Chronic Disease Innovation Center, Seven Oaks General Hospital, Winnipeg, MB, Canada
| | | | - Cory Siegrist
- Center for Clinical Innovation, Institute for Advanced Application, Geisinger, Danville
| | - Jeffrey Breed
- Center for Clinical Innovation, Institute for Advanced Application, Geisinger, Danville
| | - Jonathan Billet
- Center for Clinical Innovation, Institute for Advanced Application, Geisinger, Danville
| | - Matthew Hackenberg
- Center for Clinical Innovation, Institute for Advanced Application, Geisinger, Danville
| | - Nrupen A Bhavsar
- Division of General Internal Medicine, Duke University School of Medicine, Durham, NC
| | - L Ebony Boulware
- Division of General Internal Medicine, Duke University School of Medicine, Durham, NC
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49
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Affiliation(s)
- L. Ebony Boulware
- Division of General Internal Medicine, Department of Medicine, Duke University School of Medicine, Durham, North Carolina
| | - Dinushika Mohottige
- Division of Nephrology, Department of Medicine, Duke University School of Medicine, Durham, North Carolina
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50
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Flythe JE, Narendra JH, Yule C, Manivannan S, Murphy S, Lee SYD, Strigo TS, Peskoe S, Pendergast JF, Boulware LE, Green JA. Targeting Patient and Health System Barriers To Improve Rates of Hemodialysis Initiation with an Arteriovenous Access. Kidney360 2021; 2:708-720. [PMID: 35373037 PMCID: PMC8791324 DOI: 10.34067/kid.0007812020] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/04/2021] [Accepted: 02/24/2021] [Indexed: 02/04/2023]
Abstract
Background Guidelines recommend pre-emptive creation of arteriovenous (AV) access. However, <20% of US patients initiate hemodialysis (HD) with a functional AV access. We implemented a quality improvement (QI) program to improve pre-HD vascular access care. Methods After conducting qualitative research with key informants, we implemented a 7-month vascular access support QI program at Geisinger Health. The program targeted patient and health system barriers to AV access through education, needs assessment, peer support, care navigation, and electronic supports. We performed pre-, intra-, and postprogram stakeholder interviews to identify program barriers and facilitators and to assess acceptability. In a research substudy, we compared pre- and postprogram self-efficacy, knowledge, and confidence navigating vascular access care. Results There were 37 patient and 32 clinician/personnel participants. Of the 37 patients, 34 (92%) completed vascular access-specific education, 33 (89%) underwent needs assessment, eight (22%) engaged with peer mentors, 21 (57%) had vein mapping, 18 (49%) had an initial surgical appointment, 15 (40%) underwent AV access surgery, and six (16%) started HD during the 7-month program. Qualitative findings demonstrated program acceptability to participants and suggested that education provision and emotional barrier identification were important to engaging patients in vascular access care. Research findings showed pre- to postprogram improvements in patient self-efficacy (28.1-30.8, P=0.05) and knowledge (4.9-6.9, P=0.004), and trends toward improvements in confidence among patients (8.0-8.7, P=0.2) and providers (7.5-7.8, P=0.1). Conclusions Our intervention targeting patient and health system barriers improved patient vascular access knowledge and self-efficacy. Clinical Trial registry name and registration number Breaking Down Care Process and Patient-level Barriers to Arteriovenous Access Creation Prior to Hemodialysis Initiation, NCT04032613.
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Affiliation(s)
- Jennifer E. Flythe
- University of North Carolina (UNC) Kidney Center, Division of Nephrology and Hypertension, Department of Medicine, UNC School of Medicine, Chapel Hill, North Carolina,Cecil G. Sheps Center for Health Services Research, University of North Carolina, Chapel Hill, North Carolina
| | - Julia H. Narendra
- University of North Carolina (UNC) Kidney Center, Division of Nephrology and Hypertension, Department of Medicine, UNC School of Medicine, Chapel Hill, North Carolina
| | - Christina Yule
- Kidney Health Research Institute, Geisinger, Danville, Pennsylvania
| | - Surya Manivannan
- University of North Carolina (UNC) Kidney Center, Division of Nephrology and Hypertension, Department of Medicine, UNC School of Medicine, Chapel Hill, North Carolina
| | - Shannon Murphy
- University of North Carolina (UNC) Kidney Center, Division of Nephrology and Hypertension, Department of Medicine, UNC School of Medicine, Chapel Hill, North Carolina
| | - Shoou-Yih D. Lee
- Department of Health Administration, College of Health Professions, Virginia Commonwealth University, Richmond, Virginia
| | - Tara S. Strigo
- Division of General Internal Medicine, Duke University School of Medicine, Durham, North Carolina
| | - Sarah Peskoe
- Department of Biostatistics and Bioinformatics, Duke University School of Medicine, Durham, North Carolina
| | - Jane F. Pendergast
- Department of Biostatistics and Bioinformatics, Duke University School of Medicine, Durham, North Carolina
| | - L. Ebony Boulware
- Division of General Internal Medicine, Duke University School of Medicine, Durham, North Carolina
| | - Jamie A. Green
- Kidney Health Research Institute, Geisinger, Danville, Pennsylvania,Department of Nephrology, Geisinger Commonwealth School of Medicine, Danville, Pennsylvania
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