Skip to main content
Clinical Journal of the American Society of Nephrology : CJASN logoLink to Clinical Journal of the American Society of Nephrology : CJASN
. 2013 Mar 21;8(6):995–1002. doi: 10.2215/CJN.08880812

Modifiable Patient Characteristics and Racial Disparities in Evaluation Completion and Living Donor Transplant

Amy D Waterman *,, John D Peipert *, Shelley S Hyland *, Melanie S McCabe *, Emily A Schenk *, Jingxia Liu
PMCID: PMC3675849  PMID: 23520044

Summary

Background and objectives

To reduce racial disparities in transplant, modifiable patient characteristics associated with completion of transplant evaluation and receipt of living donor kidney transplant must be identified.

Design, setting, participants, & measurements

From 2004 to 2007, 695 black and white patients were surveyed about 15 less-modifiable and 10 more-modifiable characteristics at evaluation onset; whether they had completed evaluation within 1 year and received living donor kidney transplants by 2010 was determined. Logistic regression and competing risks time-to-event analysis were conducted to determine the variables that predicted evaluation completion and living donor kidney transplant receipt.

Results

Not adjusting for covariates, blacks were less likely than whites to complete evaluation (26.2% versus 51.8%, P<0.001) and receive living donor kidney transplants (8.7% versus 21.9%, P<0.001). More-modifiable variables associated with completing evaluation included more willing to be on the waiting list (odds ratio=3.4, 95% confidence interval=2.1, 5.7), more willing to pursue living donor kidney transplant (odds ratio=2.7, 95% confidence interval=1.8, 4.0), having access to more transplant education resources (odds ratio=2.2, 95% confidence interval=1.5, 3.2), and having greater transplant knowledge (odds ratio=1.8, 95% confidence interval=1.2, 2.7). Patients who started evaluation more willing to pursue living donor kidney transplant (hazard ratio=4.3, 95% confidence interval=2.7, 6.8) and having greater transplant knowledge (hazard ratio=1.2, 95% confidence interval=1.1, 1.3) were more likely to receive living donor kidney transplants.

Conclusions

Because patients who began transplant evaluation with greater transplant knowledge and motivation were ultimately more successful at receiving transplants years later, behavioral and educational interventions may be very successful strategies to reduce or overcome racial disparities in transplant.

Introduction

Despite the higher prevalence of CKD among blacks (1,2), they are less likely than whites to receive deceased donor transplants (DDKTs) and living donor transplants (LDKTs) (3,4), even after adjusting for clinical and sociodemographic characteristics (5). In 2009, blacks received just 14% of LDKTs, despite being 28% of ESRD incident patients in that year (6,7). These racial disparities in transplant emerge long before the day of actual transplantation (8); black patients are also less likely than white patients to complete evaluation (3,911).

In addition to a patient’s ethnicity, there is a continuum of less- to more-modifiable patient characteristics that could influence transplant outcomes (Figure 1). For example, less-modifiable patient characteristics, including being a man (10,12), being younger (9,10,1214), having higher levels of formal education (14,15), having better health insurance (11,1315), being employed (15), having a higher income (4,13), and having a primary care physician (11,16), have all been shown to be associated with completion of transplant evaluation and receipt of transplant. The majority of studies assessing patient characteristics associated with successful transplant outcomes rely on publicly available national databases like those databases from the Scientific Registry of Transplant Recipients (SRTR) or United States Renal Data System, which have limited measurement of more-modifiable patient characteristics.

Figure 1.

Figure 1.

Levels of modifiability of transplant characteristics.

Research clarifying the influence of more-modifiable factors, like patient transplant knowledge and motivation to receive a DDKT or LDKT, on successful transplant outcomes is still underdeveloped (Figure 1). Limited individual studies have found that obtaining information about transplant from a source other than a nurse or doctor (11), having greater health literacy (17), having greater transplant knowledge (18), and having asked potential living donors to donate (11) all predict completion of transplant evaluation. Similarly, having conversations in dialysis centers about transplant (19) has also been shown to be predictive of receipt of LDKT. However, few studies (11) have simultaneously examined a large number of less- and more-modifiable patient factors on ultimate completion of evaluation or receipt of DDKTs or LDKTs over time.

To plan and execute effective interventions to reduce racial disparities, we must understand on which modifiable patient characteristics to intervene. Thus, we conducted a 6-year prospective cohort study of 695 patients presenting for transplant evaluation to examine how blacks and whites differ in their less- and more-modifiable characteristics at evaluation onset and determine which of these patient characteristics are associated with evaluation completion and receipt of LDKTs.

Materials and Methods

Participants and Procedure

From October of 2004 to December of 2007, we recruited 750 patients presenting at Barnes-Jewish Transplant Center (BJTC) in St. Louis, Missouri and surveyed them by telephone within 4 months of presenting for evaluation. Inclusion criteria for the study included patients who were of white or black race, had insurance enabling them to receive care at BJTC, and had not yet had a transplant when the survey was conducted. All patients in the study were not on the national transplant waiting list at the time of presenting to BJTC. Excluded from the study sample were 23 patients of other races, 8 patients transplanted before the survey began, 5 patients who had insurance not accepted at BJTC, and 19 patients whose outcomes could not be retrieved from the SRTR database 6 years later, leaving a study sample at evaluation onset of 695 white (n=512) and black (n=183) patients. For the predictive modeling of completion of transplant evaluation and receipt of LDKTs, we also excluded 59 additional patients who were determined to be medically ineligible for transplant during evaluation, because this ineligibility would prevent them from completing evaluation or receiving a transplant, leaving a final sample of 636 patients.

Participants consented to complete a transplant decision-making survey measuring 15 less-modifiable and 10 more-modifiable patient characteristics and then have their progress through transplant evaluation followed and outcomes tracked in the BJTC Organ Transplant Tracking Record (OTTR) and through the SRTR 6 years later. This study protocol was approved by the Washington University in St. Louis Institutional Review Board (Protocol Number 08–1349).

Explanatory Measures

Patient characteristics fall along a range of modifiability from not modifiable at all to less modifiable to more modifiable. For the sake of this study, we chose to define less-modifiable characteristics as factors less commonly intervened on during transplant evaluation or factors that are very difficult or unlikely to change.

Less-Modifiable Characteristics.

Less-modifiable characteristics measured included demographic characteristics (age, sex, race, and level of education); comprehensiveness of health insurance coverage (less comprehensive is no insurance, only Medicare, or only Medicaid; more comprehensive is having multiple types of insurance or private insurance); clinical characteristics, including etiology of ESRD (diabetes, hypertension, and polycystic kidney disease [PKD]) and comorbid conditions (cancer), the answer to the first question from the Short Form (12) Health Survey (measure of perceived health) (20), and time on dialysis before presenting for transplant (≤2 or >2 years). Psychosocial characteristics, including psychologic health (anxiety and depression using the Brief Symptom Inventory-18 (BSI-18)) (21), medical mistrust (one item: “I trust hospitals”) (22), and burden of kidney disease using the Kidney Disease Quality of Life-36 (KDQOL-36) (lower scores indicate higher disease burden) (23), were also assessed.

More-Modifiable Characteristics.

More-modifiable characteristics measured included patients’ transplant knowledge, perceived benefits to transplant, attitudinal willingness to pursue DDKT and LDKT, and quality and amount of transplant education received before beginning evaluation. We assessed transplant knowledge with a 12-item multiple choice and true/false scale, yielding a summed score ranging from 1 to 12 (24), and then created two categories, wherein higher knowledge indicates 9–12 questions answered correctly and lower knowledge indicates 0–8 questions answered correctly. Items measuring patients’ perceptions of the benefits (seven items) and disadvantages (six items) of transplant were summed to create scales ranging from 7 to 21 and from 6 to 18, respectively (24).

We assessed attitudinal willingness to (1) get on the deceased donor waiting list and (2) allow a living donor to volunteer using the Transtheoretical Model of Behavioral Change (25). Patients reported for each factor whether they were in one of four stages of willingness: (1) not willing to take action (precontemplation); (2) might take action (contemplation); (3) will take action (preparation); or (4) in the process of taking or already taking action (action/maintenance). For the purposes of the analyses, we categorized patient responses into two attitudinal willingness groups consistent with the theory: earlier willingness stages (precontemplation, contemplation, and preparation) and later willingness stages (action and maintenance). Throughout the manuscript, references to more willing describe those patients in the later stages of willingness, and references to less willing describe those patients in earlier stages of willingness, consistent with the theory (26).

We created a measure to assess the quality and amount of transplant education patients received before beginning evaluation, where patients were counted as having received adequate prior transplant education if they talked to a doctor/other medical staff for at least 1 hour about transplant and read brochures/browsed internet websites about transplant for at least 1 hour (yes/no). In addition to this measure and to further assess patients’ exposure to information and communication with others about transplant, we also asked patients whether physicians had recommended that they call a transplant center to be evaluated (yes/no), whether they talked to a prior kidney recipient for any length of time (yes/no), and whether they talked to family and friends about transplant for any length of time (yes/no).

We also used OTTR to determine the number of living donors who called the transplant center between evaluation onset and the end of patient follow-up (August of 2010).

Outcome Measures

Completion of Transplant Evaluation.

Similar to previous studies (27), completing transplant evaluation successfully was defined as the patient being activated on the deceased donor waiting list or receiving an LDKT within 1 year of starting evaluation, which was indicated in either OTTR or SRTR. We chose 1 year as the cutoff for successful evaluation, because 80% of patients who were listed or received LDKT did so within this timeframe and re-evaluation must occur after a patient has been on the waitlist for 1 year. In August of 2010, we pulled BJTC patients’ medical records from OTTR and also requested SRTR data to determine whether patients had been listed for a DDKT or received an LDKT within 1 year of presenting for evaluation at either BJTC or another transplant center.

Final Outcomes Including Receipt of LDKT.

Also, in August of 2010, using OTTR and the SRTR, patients’ final transplant outcomes were determined to be one of the following: received (1) an LDKT or (2) a DDKT, (3) assessed to be medically ineligible for transplant, (4) died, (5) dropped out of transplant pursuit at BJTC, or (6) listed and still actively pursuing transplant at any transplant center.

Data Analysis

Data were analyzed using SAS version 9.3 and R version 2.14.2. The two-sided statistical significance level was set at 0.05, and confidence intervals (CIs) used a 95% threshold. To assess differences at onset of evaluation for blacks and whites, we conducted t tests, chi-squared/Fisher’s tests, or unadjusted logistic regressions. To predict successful completion of transplant evaluation within 1 year (yes/no) among medically eligible patients, we fitted a multivariable logistic regression model using the less- and more-modifiable patient characteristics described in Explanatory Measures. Collinearity among the predictors was examined, and because depression and anxiety were significantly correlated, anxiety was not included in the model. Also, the number of living donors coming forward for a patient was not included in this model, because it was not possible to determine if the donors presented within 1 year of the patient beginning transplant evaluation. After removing these two variables, we used a stepwise selection process with the 23 remaining less- and more-modifiable patient characteristics described above, with race forced into the model.

For medically eligible patients, we examined the time (in months) from onset of evaluation to receipt of an LDKT using cumulative incidence curves in a competing risks setting and a multivariable proportional subdistribution hazards model using the Fine and Gray approach (28), treating DDKT as a competing event. In the multivariable competing risks model, we omitted anxiety because of collinearity with depression and entered the remaining 24 less- and more-modifiable patient characteristics described above using a stepwise selection process. Patients were followed from onset of evaluation (first patient started on July 12, 2004) and censored at the time of death, date of dropout, or end of follow-up (indicating that the patient was still listed as of August 24, 2010.) The cmprsk package in R was used for this analysis.

Results

Racial Differences at Onset of Evaluation

The complete set of less- and more-modifiable characteristics examined for whites and blacks when presenting for transplant evaluation is presented in Table 1. When examining more-modifiable characteristics only, at onset of evaluation, black patients were less likely to have talked to family and friends about transplant for any length of time (72.7% versus 80.1%, P=0.04), were less likely to have received adequate transplant education (38.8% versus 54.3%, P<0.001), had lower transplant knowledge (20.8% versus 50.2%, P<0.001), and perceived fewer benefits to transplant (13.4 versus 14.4, P=0.004) compared with whites. They also were less willing to get on the deceased donor waiting list (66.5% versus 79.3%, P<0.001) and allow a living donor to volunteer (21.0% versus 39.5%, P<0.001).

Table 1.

Differences in less- and more-modifiable patient characteristics by race at onset of evaluation

Less- and More-Modifiable Patient Characteristics Black (n=183) White (n=512) P Value
Less-modifiable characteristics
Demographics
  Age (yr); mean (SD) 50.9 (11.5) 53.3 (11.8) 0.02
  Men; % (n) 51.9 (95) 61.1 (313) 0.03
  Education: some college or more; % (n) 48.6 (89) 61.9 (317) 0.002
  Had more comprehensive insurance; % (n) 79.8 (145) 88.1 (450) 0.005
Clinical characteristics; % (n)
  Perceived health: good/very good/excellent 61.8 (113) 63.9 (327) 0.61
  Had diabetes mellitus 28.4 (52) 31.5 (161) 0.45
  Had hypertension 55.7 (102) 33.0 (169) <0.001
  Had polycystic kidney diseasea 1.6 (3) 14.7 (75) <0.001
  Had cancera 1.1 (2) 2.2 (11) 0.53
Time to transplant presentation; % (n)
  Had been on dialysis≥2 yr 83.1 (152) 60.2 (306) <0.001
Psychosocial characteristics; % (n)
  Reported trusting hospitals 79.8 (146) 88.4 (449) 0.004
  Had depression 39.0 (71) 35.0 (178) 0.33
  Had anxiety 26.9 (49) 32.7 (166) 0.14
 Burden of kidney disease; mean (SD) 46.6 (27.5) 45.0 (27.7) 0.49
More-modifiable characteristics
Transplant education received before evaluation onset; % (n)
  Physician recommended that patient call transplant center 82.0 (150) 87.1 (446) 0.09
  Talked with a prior kidney recipient for any length of time 59.0 (108) 58.0 (297) 0.81
  Talked to family and friends about transplant for any length of time 72.7 (133) 80.1 (410) 0.04
  Received adequate prior transplant education 38.8 (71) 54.3 (278) <0.001
Transplant knowledge and decision-making
  Higher transplant knowledge;b % (n) 20.8 (38) 50.2 (257) <0.001
  Later stages of willingness to get on the deceased donation waiting list;c % (n) 66.5 (121) 79.3 (406) <0.001
  Later stages of willingness to allow a living donor to volunteerc; % (n) 21.0 (38) 39.5 (202) <0.001
  Perceived benefits to transplant; mean (SD) 13.4 (4.1) 14.4 (3.8) 0.004
  Perceived disadvantages to transplant; mean (SD) 11.8 (3.6) 12.2 (3.4) 0.20
a

Two-tailed probability from Fisher’s exact test reported because of small cell size.

b

Twelve-item scale dichotomized such that greater knowledge=9–12 answers correct and lower knowledge=0–8 answers correct.

c

Variable dichotomized such that later stages of willingness are action/maintenance and earlier stages of willingness are precontemplation/contemplation/preparation.

Predictors of Successful Completion of Transplant Evaluation

Unadjusted for covariates, blacks were less likely than whites to complete evaluation within 1 year (26.2% versus 51.8%, P<0.001). Excluding medically ineligible patients and after adjusting for covariates, patients who completed transplant evaluation within 1 year were more likely to be white (odds ratio [OR]=1.8, 95% CI=1.1, 2.9), have PKD (OR=3.7, 95% CI=1.9, 7.1), report that they trusted hospitals (OR=3.0, 95% CI=1.7, 5.6), have hypertension (OR=1.9, 95% CI=1.3, 2.9), and have more comprehensive health insurance coverage (OR=1.9, 95% CI=1.1, 3.3) (Table 2). In regards to their more-modifiable characteristics, patients who completed evaluation successfully within 1 year began evaluation in later stages of DDKT attitudinal willingness (OR=3.4, 95% CI=2.1, 5.7), in later stages of LDKT attitudinal willingness (OR=2.7, 95% CI=1.8, 4.0), having had adequate prior transplant education (OR=2.2, 95% CI=1.5, 3.2), and with higher transplant knowledge (OR=1.8, 95% CI=1.2, 2.7).

Table 2.

Multivariable model predicting successful completion of evaluation within 1 year (n=636)

Less- and More-Modifiable Patient Characteristics ORa (95% CI)
Less-modifiable characteristics
 Had polycystic kidney disease 3.7 (1.9, 7.1)
 Reported trusting hospitals 3.0 (1.7, 5.6)
 Had hypertension 1.9 (1.3, 2.9)
 Had more comprehensive insurance coverage 1.9 (1.1, 3.3)
 Race: white 1.8 (1.1, 2.9)
More-modifiable characteristics
 Later stages of willingness to get on the deceased donation waiting listb 3.4 (2.1, 5.7)
 Later stages of willingness to allow a living donor to volunteerb 2.7 (1.8, 4.0)
 Received adequate prior transplant education 2.2 (1.5, 3.2)
 Higher transplant knowledgec 1.8 (1.2, 2.7)

OR, odds ratio; CI, confidence interval.

a

All variables were significant at P=0.05 or lower.

b

Variable dichotomized such that later stages of willingness are action/maintenance and earlier stages of willingness are precontemplation/contemplation/preparation.

c

Twelve-item scale dichotomized such that greater knowledge=9–12 answers correct and lower knowledge=0–8 answers correct.

Predictors of Successful LDKT

After 6 years, fewer black patients had received an LDKT (8.7% versus 21.9%, P<0.001) or a DDKT (19.1% versus 29.5%, P=0.006) than white patients (Table 3).

Table 3.

Final transplant outcomes by race (n=695)

Transplant Outcomes Black % (n) White % (n) P Value
Living donor kidney transplant 8.7 (16) 21.9 (112) <0.001
Deceased donor kidney transplant 19.1 (35) 29.5 (151) 0.006
Medically ineligible 10.4 (19) 7.8 (40) 0.28
Deceased 2.7 (5) 5.7 (29) 0.16
Dropped out of transplant pursuit at Barnes-Jewish Transplant Center 45.9 (84) 25.6 (131) <0.001
Listed and actively pursuing transplant at any transplant center 13.1 (24) 9.6 (49) 0.21

At the conclusion of follow-up, 45% of patients had received transplants (128 LDKTs and 186 DDKTs), with 322 subjects censored (patients who were deceased, dropped out, or were still listed and actively pursuing transplant). In the multivariable analysis, patients who ultimately received an LDKT were more likely to begin evaluation in later stages of attitudinal LDKT willingness (hazard ratio=4.3, 95% CI=2.7, 6.8) and with greater transplant knowledge (hazard ratio=1.2, 95% CI=1.1, 1.3). There were no racial differences in receipt of LDKTs after knowledge, willingness, and other predictor variables were included in the model (Table 4).

Table 4.

Multivariable competing risks model predicting receipt of living donor kidney transplant (n=636)

More-Modifiable Characteristics HRa (95% CI)
Later stages of willingness to allow a living donor to volunteerb 4.3 (2.7, 6.8)
Higher transplant knowledgec 1.2 (1.1, 1.3)
Race: white 1.2 (0.7, 2.1)

HR, hazard ratio; CI, confidence interval.

a

All variables were significant at P<0.05, excluding race. No less-modifiable variables were significant in this model.

b

Variable dichotomized such that later stages of willingness are action/maintenance and earlier stages of willingness are precontemplation/contemplation/preparation.

c

Twelve-item scale dichotomized such that greater knowledge=9–12 answers correct and lower knowledge=0–8 answers correct.

Discussion

Although racial disparities in transplant have been firmly established (3,5), few studies have compared the effect of large sets of less- and more-modifiable patient characteristics to determine where best to intervene to increase patients’ successful completion of evaluation and receipt of LDKTs (11). From the beginning of the transplant-seeking process, our study found that blacks began transplant evaluation less willing to get on the deceased donor waitlist, less willing for LDKT, and less knowledgeable about the benefits of transplant compared with whites. As patients moved through the transplant process, those patients with less transplant knowledge and motivation to pursue LDKT at transplant onset were ultimately less likely to complete evaluation or receive LDKTs years later. When patients’ initial knowledge and attitudinal differences were controlled in the multivariable modeling, the racial disparity in receipt of LDKTs disappeared. Because previous research indicates that behavioral and educational interventions can improve patients’ transplant knowledge and attitudinal willingness to pursue DDKT and LDKT (29), an important direction for future research is to test if these interventions also lead to more blacks completing evaluation and receiving LDKTs.

Previous studies have indicated that educational interventions in different care settings can increase blacks’ knowledge, willingness to pursue, and actual pursuit of DDKT and LDKT (15,29,30). This study also underlines the importance of educationally intervening early and before patients ever present for transplant, particularly in settings like community nephrologists’ offices and dialysis centers. Black patients presenting for transplant, on average, knew only 21% of 12 basic transplant knowledge questions compared with whites, who knew 50% on average. Although black patients presenting for transplant had been on dialysis for significantly longer than whites, their exposure to information about transplant as a treatment option and discussions with family members and friends about it also were less frequent. Research has shown that dialysis administrators (31) and transplant educators within dialysis centers (32) both report barriers in having sufficient time to educate, previous training in transplant, and transplant educational resources to disseminate to their patients. With dialysis providers mandated to provide unbiased education around transplant (Regulation 494.90) (33), interventions to improve transplant knowledge within dialysis centers, where over 70% of ESRD patients receive regular care, will be critical. Culturally competent and tailored transplant education (34), particularly resources discussing the value of preemptive LDKT (35), available from nephrologists may also help with this effort (36).

Although this study did not assess the efficacy of a specific intervention, the finding that the level of transplant knowledge and readiness to pursue LDKT at evaluation onset were significant predictors of successful transplant outcomes years later indicates that interventions focused on helping kidney patients be as knowledgeable about transplant as possible and willing to receive transplants may increase the numbers of black patients successfully completing evaluation and receiving transplants. Recommendations from the Transtheoretical Model of Behavioral Change suggest that optimal education could assess patients’ level of DDKT and LDKT attitudinal willingness first and then provide factual information and recommendations that are individually tailored for the patient (3742). For example, patients in earlier stages of willingness for DDKT might need more discussion about how transplant may improve their quality of life and the advantages of starting the waiting list clock sooner; patients in later stages may need specific coaching about how to efficiently complete the medical tests required for evaluation. Similarly, in discussing LDKT, dialogue about learning more about living donation with their support network may be the right recommendation for patients in earlier stages of LDKT willingness instead of coaching about how to ask loved ones to be donors. Research has shown that health care interactions that honor patients’ level of willingness can double the chance of patients taking actions, like completing evaluation, in the following 6 months (43,44). Educational interventions tailored to patients’ level of willingness in dialysis settings and through home-based visits have been shown to increase pursuit of DDKT and LDKT for black and white patients (29,45).

Like others, we confirmed that patients who were white (12), had PKD or hypertension (13), and had more comprehensive health insurance coverage (13) were more likely to complete evaluation. Although a patient’s health insurance is not modifiable by health care providers in transplant or dialysis centers, we recognize that policy-level interventions could influence the impact of these variables. Evidence presented in this paper and by others (11,13,15) that insurance type predicts evaluation completion should be taken under consideration by policymakers. Similarly, there are factors considered less modifiable in this study (for example, depression and anxiety) that actually could be modified for transplant patients with more comprehensive psychological interventions (46,47). Unlike other published research, we also found that having less medical mistrust was predictive of completion of transplant evaluation (18). Although published attempts to reduce medical mistrust have yielded limited success (48), future studies should continue to explore the impact of medical mistrust with providers, hospitals, and health care systems in general.

This study had several limitations. First, our data are from a single transplant center, reflecting only regional trends, and the results may not generalize to other transplant centers. Second, we studied disparities between black and white patients; future work should include Hispanics and Asians. Third, although our DDKT and LDKT measures have now been validated (24,49), our transplant knowledge scale is still being validated. Fourth, it was outside the scope of this study to investigate the reasons why patients, especially black patients, dropped out of evaluation. Understanding the barriers to evaluation completion faced by patients will be key to reducing them, and therefore, future research must work to define and intervene to reduce these barriers. Fifth, there are other patient, provider, and system variables that were not assessed in this study, including perceived discrimination by the medical care system (18), health literacy (17), size of a patient’s social network (9), and distance from a transplant center (50), that may also be very important in planning successful interventions to reduce racial disparities that should continue to be explored in future studies.

In transplant centers, where the patient care load is very high, it is sometimes assumed that patients who drop out of evaluation are not as interested in transplant as those patients that remain. Often, the patients who drop out in high numbers are members of racial/ethnic minority groups (3). This study’s main finding, that patients who began transplant evaluation with greater transplant knowledge and motivation to receive transplant were ultimately more successful at receiving transplants years later, shows that behavioral and educational interventions may be very successful strategies in helping to reduce and hopefully, overcome racial disparities in transplant.

Disclosures.

None.

Acknowledgments

This research was supported by National Institute of Diabetes and Digestive and Kidney Diseases Grant DK088711-01A, Diabetes and Research Training Center at Washington University Grant 5P60KD020571, the National Center for Research Resources (NCRR), a component of the National Institutes of Health (NIH), NIH Roadmap for Medical Research Grant UL1RR02499204, and O’Brien Center Grant P30DK079333.

Parts of this work were presented at the American Transplant Congress held June 2–6, 2012, in Boston, MA.

This study used data from the Scientific Registry of Transplant Recipients (SRTR). The SRTR data system includes data on all donors, wait-listed candidates, and transplant recipients in the United States submitted by the members of the Organ Procurement and Transplantation Network (OPTN), and it has been described elsewhere. The Health Resources and Services Administration (HRSA), US Department of Health and Human Services provides oversight of the activities of the OPTN and SRTR contractors. The authors alone are responsible for reporting and interpretation, and all or part of the data used for these publications was collected pursuant to Department of Health and Human Services, Health Resources and Services Administration Contract HHSH250201000018C.

Footnotes

Published online ahead of print. Publication date available at www.cjasn.org.

References

  • 1.Lunsford SL, Simpson KS, Chavin KD, Menching KJ, Miles LG, Shilling LM, Smalls GR, Baliga PK: Racial disparities in living kidney donation: Is there a lack of willing donors or an excess of medically unsuitable candidates? Transplantation 82: 876–881, 2006 [DOI] [PubMed] [Google Scholar]
  • 2.Martins D, Tareen N, Norris KC: The epidemiology of end-stage renal disease among African Americans. Am J Med Sci 323: 65–71, 2002 [DOI] [PubMed] [Google Scholar]
  • 3.Epstein AM, Ayanian JZ, Keogh JH, Noonan SJ, Armistead N, Cleary PD, Weissman JS, David-Kasdan JA, Carlson D, Fuller J, Marsh D, Conti RM: Racial disparities in access to renal transplantation—clinically appropriate or due to underuse or overuse? N Engl J Med 343: 1537–1544, 2000 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 4.Stolzmann KL, Bautista LE, Gangnon RE, McElroy JA, Becker BN, Remington PL: Trends in kidney transplantation rates and disparities. J Natl Med Assoc 99: 923–932, 2007 [PMC free article] [PubMed] [Google Scholar]
  • 5.Patzer RE, Perryman JP, Schrager JD, Pastan S, Amaral S, Gazmararian JA, Klein M, Kutner N, McClellan WM: The role of race and poverty on steps to kidney transplantation in the southeastern United States. Am J Transplant 12: 358–368, 2012 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6.Organ Procurement and Transplantation Network (OPTN) : Scientific Registry of Transplant Recipients (SRTR): Annual Data Report, Minneapolis, MN, Department of Health and Human Services, Health Resources and Services Administration, Healthcare Systems Bureau, Division of Transplantation, 2011 [Google Scholar]
  • 7.United States Renal Data System : 2011 USRDS Annual Data Report: Atlas of End-Stage Renal Disease in the United States, Minneapolis, MN, National Institutes of Health, 2011 [Google Scholar]
  • 8.Waterman AD, Rodrigue JR, Purnell TS, Ladin K, Boulware LE: Addressing racial and ethnic disparities in live donor kidney transplantation: Priorities for research and intervention. Semin Nephrol 30: 90–98, 2010 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9.Clark CR, Hicks LS, Keogh JH, Epstein AM, Ayanian JZ: Promoting access to renal transplantation: The role of social support networks in completing pre-transplant evaluations. J Gen Intern Med 23: 1187–1193, 2008 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10.Alexander GC, Sehgal AR: Barriers to cadaveric renal transplantation among blacks, women, and the poor. JAMA 280: 1148–1152, 1998 [DOI] [PubMed] [Google Scholar]
  • 11.Weng FL, Joffe MM, Feldman HI, Mange KC: Rates of completion of the medical evaluation for renal transplantation. Am J Kidney Dis 46: 734–745, 2005 [DOI] [PubMed] [Google Scholar]
  • 12.Patzer RE, Amaral S, Wasse H, Volkova N, Kleinbaum D, McClellan WM: Neighborhood poverty and racial disparities in kidney transplant waitlisting. J Am Soc Nephrol 20: 1333–1340, 2009 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13.Schold JD, Gregg JA, Harman JS, Hall AG, Patton PR, Meier-Kriesche HU: Barriers to evaluation and wait listing for kidney transplantation. Clin J Am Soc Nephrol 6: 1760–1767, 2011 [DOI] [PubMed] [Google Scholar]
  • 14.Gore JL, Danovitch GM, Litwin MS, Pham PT, Singer JS: Disparities in the utilization of live donor renal transplantation. Am J Transplant 9: 1124–1133, 2009 [DOI] [PubMed] [Google Scholar]
  • 15.Patzer RE, Perryman JP, Pastan S, Amaral S, Gazmararian JA, Klein M, Kutner N, McClellan WM: Impact of a patient education program on disparities in kidney transplant evaluation. Clin J Am Soc Nephrol 7: 648–655, 2012 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16.Reeves-Daniel A, Adams PL, Daniel K, Assimos D, Westcott C, Alcorn SG, Rogers J, Farney AC, Stratta RJ, Hartmann EL: Impact of race and gender on live kidney donation. Clin Transplant 23: 39–46, 2009 [DOI] [PubMed] [Google Scholar]
  • 17.Grubbs V, Gregorich SE, Perez-Stable EJ, Hsu CY: Health literacy and access to kidney transplantation. Clin J Am Soc Nephrol 4: 195–200, 2009 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 18.Myaskovsky L, Almario Doebler D, Posluszny DM, Dew MA, Unruh M, Fried LF, Switzer GE, Kim S, Chang CC, Ramkumar M, Shapiro R: Perceived discrimination predicts longer time to be accepted for kidney transplant. Transplantation 93: 423–429, 2012 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 19.Kutner NG, Zhang R, Huang Y, Johansen KL: Impact of race on predialysis discussions and kidney transplant preemptive wait-listing. Am J Nephrol 35: 305–311, 2012 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 20.Ware JE, Kosinski M, Turner-Bowker DM, Gandek B: SF-12v2™: How to Score Version 2 of the SF-12® Health Survey, Lincoln, RI, QualityMetric Incorporated, 2002 [Google Scholar]
  • 21.Derogatis LR: BSI-18: Administration, Scoring and Procedures Manual, Minneapolis, MN, National Computer Systems, 2000 [Google Scholar]
  • 22.Boulware LE, Cooper LA, Ratner LE, LaVeist TA, Powe NR: Race and trust in the health care system. Public Health Rep 118: 358–365, 2003 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 23.Hays RD, Kallich JD, Mapes DL, Coons SJ, Amin N, Carter WB, Kamberg C: Kidney Disease Quality of Life Short Form (KDQOL-SF): A Manual for Use and Scoring, Santa Monica, CA, RAND, 1997 [Google Scholar]
  • 24.Waterman AD, Robbins ML, Paiva AL, Hyland SS: Kidney patients’ intention to receive a deceased donor transplant: Development of stage of change, decisional balance and self-efficacy measures. J Health Psychol 15: 436–445, 2010 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 25.Prochaska JO, Redding CA, Evers KE: The transtheoretical model and stages of change. In: Health Behavior and Health Education, 3rd Ed., edited by Glanz K, Rimer B, Lewis F, San Francisco, CA, Jossey-Bass, 2002, pp 99–120 [Google Scholar]
  • 26.Prochaska JO, Norcross JC: Stages of change. Psychotherapy Theory Research & Practice 38: 443–448, 2001 [Google Scholar]
  • 27.Goldfarb-Rumyantzev AS, Sandhu GS, Baird B, Barenbaum A, Yoon JH, Dimitri N, Koford JK, Shihab F: Effect of education on racial disparities in access to kidney transplantation. Clin Transplant Transplant 26: 74–81, 2012 [DOI] [PubMed] [Google Scholar]
  • 28.Fine JP, Gray RJ: A proportional hazards model for the subdistribution of a competing risk. J Am Stat Assoc 94: 496–509, 1999 [Google Scholar]
  • 29.Waterman A, Hyland S, Stanley SL, Barrett AC, Millinger R: Improving education increases dialysis patients' pursuit of transplant: Explore Transplant RCT findings. Presented at the American Transplant Conference, Boston, MA, May 30–June 3, 2009 [Google Scholar]
  • 30.Rodrigue JR, Cornell DL, Kaplan B, Howard RJ: A randomized trial of a home-based educational approach to increase live donor kidney transplantation: Effects in blacks and whites. Am J Kidney Dis 51: 663–670, 2008 [DOI] [PubMed] [Google Scholar]
  • 31.Waterman AD, Goalby C, Hyland SS, McCabe M, Dinkel KM: Transplant education practices and attitudes in dialysis centers: Dialysis leadership weighs in. J Nephrol Therap S4:007. doi:10.4172/2161-0959.s4-007, 2012 [Google Scholar]
  • 32.Waterman A, Goalby C, Herrington E, Hyland S: Evaluation of Transplant Education in 550 Dialysis Centers in 21 States: Are Dialysis Patients Making Informed Treatment Choices? National Kidney Foundation Spring Clinical Meetings, MD, National Harbor, Washington, DC, 2012 [Google Scholar]
  • 33.Centers for Medicare and Medicaid Services : ESRD basic technical surveyor training: Interpretive guidance. In: Services, edited by DOHAH , Baltimore, MD, Centers for Medicare and Medicaid Services, 2008 [Google Scholar]
  • 34.Kreuter MW, Lukwago SN, Bucholtz RD, Clark EM, Sanders-Thompson VL: Achieving cultural appropriateness in health promotion programs: Targeted and tailored approaches. Health Educ Behav 30: 133–146, 2003 [DOI] [PubMed] [Google Scholar]
  • 35.Waterman AD, Brown J, Witten B, Goodnight V, Mallery C, Schenk E, Goalby C, Frazier L, Peace L, Hyland SS: Preemptive Transplant Knowledge and Decision-Making: Impact of a Community Chronic Kidney Disease Education Class. National Kidney Foundation Spring Clinical Meetings, MD, National Harbor, Washington, DC, 2012 [Google Scholar]
  • 36.Purnell TS, Hall YN, Boulware LE: Understanding and overcoming barriers to living kidney donation among racial and ethnic minorities in the United States. Adv Chronic Kidney Dis 19: 244–251, 2012 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 37.Prochaska JO: Decision making in the transtheoretical model of behavior change. Med Decis Making 28: 845–849, 2008 [DOI] [PubMed] [Google Scholar]
  • 38.Prochaska JO, DiClemente CC, Norcross JC: In search of how people change: Applications to addictive behaviors. J Addict Nurs 5: 2–16, 1993 [DOI] [PubMed] [Google Scholar]
  • 39.DiClemente CC, Prochaska JO, Fairhurst SK, Velicer WF, Velasquez MM, Rossi JS: The process of smoking cessation: An analysis of precontemplation, contemplation, and preparation stages of change. J Consult Clin Psychol 59: 295–304, 1991 [DOI] [PubMed] [Google Scholar]
  • 40.Hall K, Rossi J: Examining the transtheoretical model using meta-analytic procedures and integrative analyses. In: Research on the Transtheoretical Model: Where Are We Now, Where Are We Going?, edited by Keller S, Velicer W, Lengerich, Germany, Pabst Science Publishers, 2004, pp 56–58 [Google Scholar]
  • 41.Hall K, Rossi J: A meta-analysis of the magnitude of the effect in self-efficacy across adjacent stage transitions for 24 health behaviors: Informing interventions. Ann Behav Med 26: S133, 2004 [Google Scholar]
  • 42.Hall K, Rossi J, Martel A, Koerner M: Tailoring interventions: A meta-analysis of self-efficacy and decisional balance [Abstract]. Int J Behav Med 11: S364, 2004 [Google Scholar]
  • 43.Prochaska JO, Velicer WF, Rossi JS, Goldstein MG, Marcus BH, Rakowski W, Fiore C, Harlow LL, Redding CA, Rosenbloom D, Rossi SR: Stages of change and decisional balance for 12 problem behaviors. Health Psychol 13: 39–46, 1994 [DOI] [PubMed] [Google Scholar]
  • 44.Perz CA, DiClemente CC, Carbonari JP: Doing the right thing at the right time? The interaction of stages and processes of change in successful smoking cessation. Health Psychol 15: 462–468, 1996 [DOI] [PubMed] [Google Scholar]
  • 45.Rodrigue JR, Cornell DL, Lin JK, Kaplan B, Howard RJ: Increasing live donor kidney transplantation: A randomized controlled trial of a home-based educational intervention. Am J Transplant 7: 394–401, 2007 [DOI] [PubMed] [Google Scholar]
  • 46.Terán-Escandón D, Ruiz-Ornelas J, Estrada-Castillo JG, Barajas-Juárez L, Díaz-Martínez A: Anxiety and depression among renal transplantation candidates: Impact of donor availability. Actas Esp Psiquiatr 29: 91–94, 2001 [PubMed] [Google Scholar]
  • 47.Akman B, Ozdemir FN, Sezer S, Miçozkadioglu H, Haberal M: Depression levels before and after renal transplantation. Transplant Proc 36: 111–113, 2004 [DOI] [PubMed] [Google Scholar]
  • 48.Guadagnolo BA, Cina K, Koop D, Brunette D, Petereit DG: A pre-post survey analysis of satisfaction with health care and medical mistrust after patient navigation for American Indian cancer patients. J Health Care Poor Underserved 22: 1331–1343, 2011 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 49.Robbins M, Paiva A, Davis LA, Schenk EA, Baldwin K, Peipert J, Waterman A: Measuring kidney patients' motivation to pursue living donor kidney transplant: Development of stage of change, decisional balance and self-efficacy measures. J Health Psychol, in press [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 50.Axelrod DA, Dzebisashvili N, Schnitzler MA, Salvalaggio PR, Segev DL, Gentry SE, Tuttle-Newhall J, Lentine KL: The interplay of socioeconomic status, distance to center, and interdonor service area travel on kidney transplant access and outcomes. Clin J Am Soc Nephrol 5: 2276–2288, 2010 [DOI] [PMC free article] [PubMed] [Google Scholar]

Articles from Clinical Journal of the American Society of Nephrology : CJASN are provided here courtesy of American Society of Nephrology

RESOURCES