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Table 1.  Characteristics of Patients With Advanced Kidney Disease Who Were Referred to a US Department of Veterans Affairs Kidney Transplant Center
Characteristics of Patients With Advanced Kidney Disease Who Were Referred to a US Department of Veterans Affairs Kidney Transplant Center
Table 2.  Example Quotations Illustrating the Theme of Far-reaching and Inflexible Medical Evaluation
Example Quotations Illustrating the Theme of Far-reaching and Inflexible Medical Evaluation
Table 3.  Example Quotations Illustrating the Theme of Psychosocial Evaluation
Example Quotations Illustrating the Theme of Psychosocial Evaluation
Table 4.  Example Quotations Illustrating the Theme of Surveillance Over Compliance
Example Quotations Illustrating the Theme of Surveillance Over Compliance
Table 5.  Example Quotations Illustrating the Theme of Disempowerment and Lack of Transparency
Example Quotations Illustrating the Theme of Disempowerment and Lack of Transparency
1.
Wolfe  RA, Ashby  VB, Milford  EL,  et al.  Comparison of mortality in all patients on dialysis, patients on dialysis awaiting transplantation, and recipients of a first cadaveric transplant.   N Engl J Med. 1999;341(23):1725-1730. doi:10.1056/NEJM199912023412303 PubMedGoogle ScholarCrossref
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Legeai  C, Andrianasolo  RM, Moranne  O,  et al.  Benefits of kidney transplantation for a national cohort of patients aged 70 years and older starting renal replacement therapy.   Am J Transplant. 2018;18(11):2695-2707. doi:10.1111/ajt.15110 PubMedGoogle ScholarCrossref
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Friedewald  JJ, Samana  CJ, Kasiske  BL,  et al.  The kidney allocation system.   Surg Clin North Am. 2013;93(6):1395-1406. doi:10.1016/j.suc.2013.08.007 PubMedGoogle ScholarCrossref
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Volk  ML, Biggins  SW, Huang  MA, Argo  CK, Fontana  RJ, Anspach  RR.  Decision making in liver transplant selection committees: a multicenter study.   Ann Intern Med. 2011;155(8):503-508. doi:10.7326/0003-4819-155-8-201110180-00006 PubMedGoogle ScholarCrossref
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Patzer  RE, Plantinga  LC, Paul  S,  et al.  Variation in dialysis facility referral for kidney transplantation among patients with end-stage renal disease in Georgia.   JAMA. 2015;314(6):582-594. doi:10.1001/jama.2015.8897 PubMedGoogle ScholarCrossref
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Bloembergen  WE, Mauger  EA, Wolfe  RA, Port  FK.  Association of gender and access to cadaveric renal transplantation.   Am J Kidney Dis. 1997;30(6):733-738. doi:10.1016/S0272-6386(97)90076-7 PubMedGoogle ScholarCrossref
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Kim  SJ, Gill  JS, Knoll  G,  et al.  Referral for kidney transplantation in Canadian provinces.   J Am Soc Nephrol. 2019;30(9):1708-1721. doi:10.1681/ASN.2019020127 PubMedGoogle ScholarCrossref
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Hart  A, Smith  JM, Skeans  MA,  et al.  OPTN/SRTR 2018 annual data report: kidney.   Am J Transplant. 2020;20(suppl s1):20-130. doi:10.1111/ajt.15672 PubMedGoogle ScholarCrossref
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Tong  A, Hanson  CS, Chapman  JR,  et al.  ‘Suspended in a paradox’—patient attitudes to wait-listing for kidney transplantation: systematic review and thematic synthesis of qualitative studies.   Transpl Int. 2015;28(7):771-787. doi:10.1111/tri.12575 PubMedGoogle ScholarCrossref
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Spiers  J, Smith  JA.  Waiting for a kidney from a deceased donor: an interpretative phenomenological analysis.   Psychol Health Med. 2016;21(7):836-844. doi:10.1080/13548506.2015.1112415 PubMedGoogle ScholarCrossref
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Martin  SC, Stone  AM, Scott  AM, Brashers  DE.  Medical, personal, and social forms of uncertainty across the transplantation trajectory.   Qual Health Res. 2010;20(2):182-196. doi:10.1177/1049732309356284 PubMedGoogle ScholarCrossref
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Burns  T, Fernandez  R, Stephens  M.  The experiences of adults who are on dialysis and waiting for a renal transplant from a deceased donor: a systematic review.   JBI Database System Rev Implement Rep. 2015;13(2):169-211. doi:10.11124/jbisrir-2015-1973 PubMedGoogle ScholarCrossref
16.
Pinter  J, Hanson  CS, Chapman  JR,  et al.  Perspectives of older kidney transplant recipients on kidney transplantation.   Clin J Am Soc Nephrol. 2017;12(3):443-453. doi:10.2215/CJN.05890616 PubMedGoogle ScholarCrossref
17.
Butler  CR, Taylor  JS, Reese  PP, O’Hare  AM.  Thematic analysis of the medical records of patients evaluated for kidney transplant who did not receive a kidney.   BMC Nephrol. 2020;21(1):300. doi:10.1186/s12882-020-01951-1 PubMedGoogle ScholarCrossref
18.
Daniels  N, Sabin  JE.  Setting Limits Fairly: Learning to Share Resources for Health. 2nd ed. Oxford University Press; 2008.
19.
Gunnar  W.  The VA Transplant Program: a rebuttal to criticism and a look to the future.   Am J Transplant. 2019;19(5):1288-1295. doi:10.1111/ajt.15295 PubMedGoogle ScholarCrossref
20.
Gunnar  W, Bronson  DA, Cupples  SA.  Access to transplant care and services within the Veterans Health Administration.   Fed Pract. 2018;35(8):12-21.PubMedGoogle Scholar
21.
Wong  SPY, Vig  EK, Taylor  JS,  et al.  Timing of initiation of maintenance dialysis: a qualitative analysis of the electronic medical records of a national cohort of patients from the Department of Veterans Affairs.   JAMA Intern Med. 2016;176(2):228-235. doi:10.1001/jamainternmed.2015.7412 PubMedGoogle ScholarCrossref
22.
Wong  SPY, McFarland  LV, Liu  C-F, Laundry  RJ, Hebert  PL, O’Hare  AM.  Care practices for patients with advanced kidney disease who forgo maintenance dialysis.   JAMA Intern Med. 2019;179(3):305-313. doi:10.1001/jamainternmed.2018.6197 PubMedGoogle ScholarCrossref
23.
Butler  CR, Vig  EK, O’Hare  AM, Liu  C-F, Hebert  PL, Wong  SPY.  Ethical concerns in the care of patients with advanced kidney disease: a national retrospective study, 2000-2011.   J Gen Intern Med. 2020;35(4):1035-1043. doi:10.1007/s11606-019-05466-w PubMedGoogle ScholarCrossref
24.
O’Hare  AM, Butler  CR, Taylor  JS,  et al.  Thematic analysis of hospice mentions in the health records of veterans with advanced kidney disease.   J Am Soc Nephrol. Published online August 6, 2020:ASN.2020040473. doi:10.1681/ASN.2020040473 PubMedGoogle Scholar
25.
Braun  V, Clarke  V.  Using thematic analysis in psychology.   Qual Res Psychol. 2006;3(2):77-101. doi:10.1191/1478088706qp063oa Google ScholarCrossref
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Birks  M, Mills  J.  Grounded Theory: A Practical Guide. 2nd ed. Sage Publications Inc; 2015.
27.
Giacomini  MK, Cook  DJ; Evidence-Based Medicine Working Group.  Users’ guides to the medical literature: XXIII: qualitative research in health care A: are the results of the study valid?   JAMA. 2000;284(3):357-362. doi:10.1001/jama.284.3.357 PubMedGoogle ScholarCrossref
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Organ Procurement and Transplantation Network. Ethical principles in the allocation of human organs. US Department of Health and Human Services; 2015. Accessed May 23, 2018. https://optn.transplant.hrsa.gov/resources/ethics/ethical-principles-in-the-allocation-of-human-organs/
29.
Calestani  M, Tonkin-Crine  S, Pruthi  R,  et al; ATTOM Investigators.  Patient attitudes towards kidney transplant listing: qualitative findings from the ATTOM study.   Nephrol Dial Transplant. 2014;29(11):2144-2150. doi:10.1093/ndt/gfu188 PubMedGoogle ScholarCrossref
30.
Shpigel  AA, Saeed  MJ, Novak  E, Alhamad  T, Rich  MW, Brown  DL.  Center-related variation in cardiac stress testing in the 18 months prior to renal transplantation.   JAMA Intern Med. 2019;179(8):1135-1136. doi:10.1001/jamainternmed.2019.0423 PubMedGoogle ScholarCrossref
31.
Akolekar  D, Oniscu  GC, Forsythe  JLR.  Variations in the assessment practice for renal transplantation across the United Kingdom.   Transplantation. 2008;85(3):407-410. doi:10.1097/TP.0b013e3181629bacPubMedGoogle Scholar
32.
Mandelbrot  DA, Fleishman  A, Rodrigue  JR, Norman  SP, Samaniego  M.  Practices in the evaluation of potential kidney transplant recipients who are elderly: a survey of US transplant centers.   Clin Transplant. 2017;31(10):e13088. doi:10.1111/ctr.13088 PubMedGoogle Scholar
33.
Ladin  K, Marotta  SA, Butt  Z,  et al.  A mixed-methods approach to understanding variation in social support requirements and implications for access to transplantation in the United States.   Prog Transplant. 2019;29(4):344-353. doi:10.1177/1526924819874387 PubMedGoogle ScholarCrossref
34.
Hilbrands  LB, Hoitsma  AJ, Koene  RA.  Medication compliance after renal transplantation.   Transplantation. 1995;60(9):914-920. doi:10.1097/00007890-199511150-00006 PubMedGoogle ScholarCrossref
35.
Sandhu  GS, Khattak  M, Woodward  RS,  et al.  Impact of substance abuse on access to renal transplantation.   Transplantation. 2011;91(1):86-93. doi:10.1097/TP.0b013e3181fc8903 PubMedGoogle ScholarCrossref
36.
Paterson  TSE, O’Rourke  N, Shapiro  RJ, Loken Thornton  W.  Medication adherence in renal transplant recipients: a latent variable model of psychosocial and neurocognitive predictors.   PLoS One. 2018;13(9):e0204219. doi:10.1371/journal.pone.0204219 PubMedGoogle Scholar
37.
Ruzieh  M, Foy  AJ.  Time to rethink surveillance testing prior to kidney transplant: a teachable moment.   JAMA Intern Med. 2020;180(10):1365-1366. doi:10.1001/jamainternmed.2020.2668 PubMedGoogle ScholarCrossref
38.
Chapman  EN, Kaatz  A, Carnes  M.  Physicians and implicit bias: how doctors may unwittingly perpetuate health care disparities.   J Gen Intern Med. 2013;28(11):1504-1510. doi:10.1007/s11606-013-2441-1 PubMedGoogle ScholarCrossref
39.
Ku  E, Lee  BK, McCulloch  CE,  et al.  Racial and ethnic disparities in kidney transplant access within a theoretical context of medical eligibility.   Transplantation. 2020;104(7):1437-1444. PubMedGoogle ScholarCrossref
40.
Berry  KN, Daniels  N, Ladin  K.  Should lack of social support prevent access to organ transplantation?   Am J Bioeth. 2019;19(11):13-24. doi:10.1080/15265161.2019.1665728 PubMedGoogle ScholarCrossref
41.
Myaskovsky  L, Almario Doebler  D, Posluszny  DM,  et al.  Perceived discrimination predicts longer time to be accepted for kidney transplant.   Transplantation. 2012;93(4):423-429. doi:10.1097/TP.0b013e318241d0cd PubMedGoogle ScholarCrossref
42.
Ashford  RD, Brown  AM, Curtis  B.  Substance use, recovery, and linguistics: the impact of word choice on explicit and implicit bias.   Drug Alcohol Depend. 2018;189:131-138. doi:10.1016/j.drugalcdep.2018.05.005 PubMedGoogle ScholarCrossref
43.
Kasiske  BL, Cangro  CB, Hariharan  S,  et al; American Society of Transplantation.  The evaluation of renal transplantation candidates: clinical practice guidelines.   Am J Transplant. 2001;1(suppl 2):3-95.PubMedGoogle Scholar
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Center for Clinical Standards and Quality/Survey and Certification Group, Centers for Medicare and Medicaid Services. Interpretive guidelines for the organ transplant conditions of participation (CoPs). US Department of Health and Human Services. Revised May 3, 2016. Accessed December 11, 2019. https://www.cms.gov/Medicare/Provider-Enrollment-and-Certification/SurveyCertificationGenInfo/Downloads/Survey-and-Cert-Letter-16-10.pdf
45.
Holm  S.  What is wrong with compliance?   J Med Ethics. 1993;19(2):108-110. doi:10.1136/jme.19.2.108 PubMedGoogle ScholarCrossref
46.
Sharif  A.  The argument for abolishing cardiac screening of asymptomatic kidney transplant candidates.   Am J Kidney Dis. 2020;75(6):946-954. doi:10.1053/j.ajkd.2019.05.033PubMedGoogle ScholarCrossref
47.
Gordon  EJ, Butt  Z, Jensen  SE,  et al.  Opportunities for shared decision making in kidney transplantation.   Am J Transplant. 2013;13(5):1149-1158. doi:10.1111/ajt.12195 PubMedGoogle ScholarCrossref
48.
US Government Accountability Office. VA health care: additional training could improve organ transplant referral and evaluation processes. GAO publication 20-4. October 2019. Accessed December 11, 2019. https://www.gao.gov/assets/710/701897.pdf
Original Investigation
November 23, 2020

Thematic Analysis of the Health Records of a National Sample of US Veterans With Advanced Kidney Disease Evaluated for Transplant

Author Affiliations
  • 1Division of Nephrology, Department of Medicine, University of Washington, Seattle
  • 2Hospital and Specialty Medicine, Geriatrics and Extended Care and Seattle-Denver Health Services Research and Development Center of Innovation, VA Puget Sound Health Care System, Seattle, Washington
  • 3Department of Pediatrics, University of Washington School of Medicine, Seattle
  • 4Treuman Katz Center for Pediatric Bioethics, Seattle Children’s Hospital, Seattle, Washington
  • 5School of Nursing, University of Washington, Seattle
  • 6Department of Anthropology, University of Toronto, Toronto, Ontario, Canada
  • 7Department of Health Services Research, University of Washington, Seattle
JAMA Intern Med. 2021;181(2):212-219. doi:10.1001/jamainternmed.2020.6388
Key Points

Question  What types of clinical care are involved in the kidney transplant evaluation process in real-world clinical settings?

Findings  In this qualitative study of the electronic health records of 211 US veterans with advanced kidney disease who were referred for kidney transplant evaluation, 4 dominant themes were identified describing clinical care during the evaluation process: far-reaching and inflexible medical evaluation, psychosocial valuation, surveillance over compliance, and disempowerment and lack of transparency.

Meaning  In this study, clinician documentation in the medical record indicated that, to be considered for a kidney transplant, patients were required to participate in a rigid, demanding, and opaque evaluation process over which they and their local clinicians had little control.

Abstract

Importance  To be considered for a kidney transplant, patients with advanced kidney disease must participate in a formal evaluation and selection process. Little is known about how this process proceeds in real-world clinical settings.

Objective  To characterize the transplant evaluation process among a representative national sample of US veterans with advanced kidney disease who were referred to a kidney transplant center.

Design, Setting, and Participants  This qualitative study was a thematic analysis of clinician notes in the electronic health records of US veterans referred for kidney transplant evaluation. In a random sample of 4000 patients with advanced kidney disease between January 1, 2004, and December 31, 2014, cared for in the US Department of Veterans Affairs (VA) health care system, there were 211 patients who were referred to a transplant center during the follow-up period. This group was included in the qualitative analysis and was followed up until their date of death or the end of the follow-up period on October 8, 2019.

Main Outcomes and Measures  Dominant themes pertaining to the kidney transplant evaluation and selection process identified through thematic analysis.

Results  Among 211 study patients, the mean (SD) age was 57.9 (9.5) years, and 202 patients (95.7%) were male. The following 4 dominant themes regarding the transplant evaluation process emerged: (1) far-reaching and inflexible medical evaluation, in which patients were expected to complete an extensive evaluation that could have substantial physical and emotional consequences, made little accommodation for their personal values and needs, and impacted other aspects of their care; (2) psychosocial valuation, in which the psychosocial component of the transplant assessment could be subjective and intrusive and could place substantial demands on patients’ family members; (3) surveillance over compliance, in which the patients’ ability and willingness to follow medical recommendations was an important criterion for transplant candidacy and their adherence to a wide range of recommendations and treatments was closely monitored; and (4) disempowerment and lack of transparency, in which patients and their local clinicians were often unsure about what to expect during the evaluation process or about the rationale for selection decisions. For the evaluation process to proceed, local clinicians had to follow transplant center requirements even when they believed the requirements did not align with best practices or the patients’ needs.

Conclusions and Relevance  In this qualitative study of US veterans with advanced kidney disease evaluated for transplant, clinician documentation in the medical record indicated that, to be considered for a kidney transplant, patients were required to participate in a rigid, demanding, and opaque evaluation and selection process over which they and their local clinicians had little control. These findings highlight the need for a more evidence-based, individualized, and collaborative approach to kidney transplant evaluation.

Introduction

Kidney transplant is a preferred treatment for end-stage kidney disease.1,2 However, because there are risks associated with transplant and the supply of donor organs is limited, patients are required to participate in a formal medical and psychosocial evaluation before they can be added to the deceased donor transplant waiting list or can be accepted for a transplant from a living donor. Once selected, patients may spend years on the national waiting list before receiving a transplant from a deceased donor. During this time, they are closely monitored by the transplant center for signs of deteriorating health and/or the development of new contraindications to transplant.

The National Kidney Allocation System relies on an explicit and publicly available algorithm that was developed with input from diverse stakeholders to determine how patients on the waiting list are selected for transplant from a deceased donor.3 However, the processes by which transplant center teams evaluate and select patients for inclusion on the deceased donor waiting list and for transplant from a living donor are less transparent.4-6 Previous studies describing the transplant process have focused on the factors and outcomes associated with referral, waiting list inclusion, and receipt of a kidney transplant7-11 and on patients’ experiences with particular aspects of the transplant process.12-16 To our knowledge, few previous studies have described how the entire process of referral, evaluation, and selection for kidney transplant proceeds in real-world clinical settings.17 A more complete understanding of this process could help to improve the quality of care for patients and families, guide process improvement, and support public discussion about strategies to promote fair allocation of donor kidneys.5,18

The US Department of Veterans Affairs (VA) health care system is the only national health care system that supports all steps in the kidney transplant process internally, including referral and evaluation, selection, and surgery. On an annual basis, approximately 1800 patients are referred to 1 of 7 VA kidney transplant centers for evaluation, and approximately 160 kidney transplants are performed within the VA system.19 An estimated two-thirds of referred patients are invited to participate in an in-person evaluation, and the remainder are declined as transplant candidates without further evaluation.20 Approximately one-half of patients invited for an in-person evaluation at a VA transplant center are selected for inclusion on the national kidney transplant waiting list.20

To understand how evaluation and selection for kidney transplant unfolds in real-world clinical settings, we conducted a qualitative study of clinician documentation in the electronic health records (EHRs) of patients with advanced kidney disease who were referred to VA transplant centers.

Methods
Cohort Selection and Data Collection

Using a previously published approach,21-24 we conducted a qualitative study of clinician documentation in the EHRs of members of a representative national sample of US veterans with advanced kidney disease who were referred for evaluation at 1 or more VA kidney transplant centers. The study was approved by the VA Central Institutional Review Board with a waiver of informed consent for all study procedures because of minimal risk to patients.

We identified a national cohort of 130 374 patients with advanced kidney disease (defined as an estimated glomerular filtration rate <20 mL/min/1.73 m2 on at least 2 occasions at least 3 months apart) between October 1, 1999, and December 31, 2014 (eFigure 1 in the Supplement). We used linked clinical and administrative data from the VA, the Centers for Medicare & Medicaid Services, and the US Renal Data System (a national registry for patients with end-stage kidney disease) to assemble and characterize the study cohort. Patients entered the cohort on the date of their second finding of an estimated glomerular filtration rate of less than 20 mL/min/1.73 m2. Patients were followed up until their date of death or the end of the follow-up period on October 8, 2019. We then selected a random sample of 4000 patients who entered the cohort between January 1, 2004, and December 31, 2014, for in-depth medical record review. We obtained all clinician progress notes that were stored in the VA Corporate Data Warehouse between the time of cohort entry and the end of the follow-up period. We used the Veterans Indexed Search for Analysis tool, a Lucene-based text search instrument,22 to identify all mentions of the term transplant (which included mentions that contained the root word, such as transplantation and transplants) in note titles or free text in patients’ medical records between the time of cohort entry and the end of the follow-up period.

A text search of the EHRs of 4000 patients yielded 97 515 notes with at least 1 mention of the term transplant belonging to 1896 unique patients. One of us (C.R.B., a nephrologist and research fellow) reviewed notes with at least 1 transplant mention to exclude the following groups: (1) 481 patients for whom mentions containing the term transplant did not pertain to the kidney transplant evaluation process (eg, patients who had received a kidney transplant before cohort entry or patients for whom the transplant mention was in reference to a different type of organ transplant or appeared only as part of a standard template element in the medical record) and (2) 1204 patients with a valid transplant mention who were not referred to a VA transplant center during the follow-up period. Using this approach, we identified an analytic cohort of 211 patients (5.3%) who were referred to a VA transplant center during the follow-up period.

Qualitative Analyses

One of us (C.R.B.) reviewed all notes with transplant mentions that belonged to the 211 cohort members referred to a VA transplant center and abstracted passages pertaining to the transplant evaluation process from their EHRs. Two of us who are experienced in qualitative methodology (C.R.B. and A.M.O., a physician scientist) used inductive thematic analysis, an approach for analyzing unstructured text that facilitates discovery of previously unidentified factors associated with a phenomenon of interest,25 to independently review and openly code abstracted passages for concepts associated with the transplant evaluation. One of us (A.M.O.) reviewed all records for a random selection of 55 cohort members who were referred to a VA transplant center, and another one of us (C.R.B.) reviewed records for all 211 patients. We used an iterative and consensus-based approach to define codes and resolve differences in interpretation until we reached thematic saturation, the point at which no new concepts were identified with additional review.26,27 We then collapsed associated codes into larger thematic categories, returning frequently to the primary passages to ensure that emergent themes were grounded in the data.25,27 We used ATLAS.ti, version 8 (Scientific Software Development), to organize and store text and to support coding.

Statistical Analysis

SAS, version 9.4 (SAS Institute) was used to assemble the cohort. Stata, version 15 (StataCorp LLC) was used to describe the characteristics of patients referred for transplant evaluation.

Results

Among a national sample of 4000 patients with advanced kidney disease who received care in the VA health care system from January 1, 2004, to December 31, 2014, 211 patients were referred to a VA transplant center during follow-up through October 8, 2019. Of those, 202 patients (95.7%) were male, 118 patients (55.9%) were White, and 75 patients (35.5%) were Black or African American; the mean (SD) age of cohort members was 57.9 (9.5) years (Table 1). A total of 51 patients (24.2%) had initiated maintenance dialysis by the time of cohort entry. Nine patients (4.3%) were enrolled in Medicaid in the year before cohort entry. Based on qualitative analysis of notes containing transplant mentions, we identified 4 themes related to the transplant process: (1) far-reaching and inflexible medical evaluation, (2) psychosocial valuation, (3) surveillance over compliance, and (4) disempowerment and lack of transparency.

Far-reaching and Inflexible Medical Evaluation

Documentation in patients’ EHRs suggested that clinicians approached the transplant evaluation with the goal of fully characterizing patients’ known health conditions and identifying undiagnosed conditions (example quotations are included in Table 2). As part of the evaluation, patients were expected to attend multiple clinic visits with different specialists and might be referred for invasive procedures, such as cardiac catheterization, liver biopsy, dental extractions, and surgeries, many of which would not have been indicated as part of routine care. Testing conducted as part of the transplant evaluation could involve risks and sometimes led to a cascade of further testing and treatments.

Participation in the transplant evaluation could also have implications for decisions about other aspects of patients’ care, even when these aspects were not associated with the transplant process. Patients and their clinicians might have delayed or avoided receiving tests or treatments because of concern that these might adversely impact the patients’ transplant candidacy. In general, the transplant evaluation process made little accommodation for the distinct circumstances, priorities, and values of individual patients.

The need for frequent testing and interaction with the health care system during the transplant evaluation process could be overwhelming and emotionally burdensome for some patients and families. Setbacks or deviations from expectations in the evaluation process were sometimes associated with depression and even suicidal ideation.

Psychosocial Evaluation

Interviews conducted by social workers and mental health specialists as part of the psychosocial assessment included detailed questions about patients’ living arrangements, employment history, substance use, financial status, and legal history as well as in-depth questions about family members (example quotations are included in Table 3). Ongoing substance use (eg, alcohol, tobacco, and marijuana) constituted an unconditional contraindication to transplant regardless of the circumstances or frequency of the substance use. Clinicians’ questions and recommendations sometimes strayed into patients’ personal affairs and could be upsetting or embarrassing. Documentation in medical records suggested that patients’ awareness of clinicians’ conflicting obligations to advocate for them while also being required to report potentially compromising information to the transplant center could stifle honest communication and undermine trust. Referral letters to the transplant center sometimes conveyed a moral tone alluding to whether patients were deserving of transplant.

As part of the transplant process, patients were expected to identify a support person who could care for them during the immediate posttransplant period. Documentation by some transplant specialists suggested a preference for support persons with formal relationships (ie, a spouse or family member) and adequate financial resources. We found examples of support persons who were prepared to relocate and/or quit their jobs to fulfill this responsibility. We also found examples of patients who could not be accepted as transplant candidates because they did not have family or friends who were willing and able to fulfill this role.

Surveillance Over Compliance

In addition to completing the medical and psychosocial evaluation, patients were expected to demonstrate personal responsibility for improving their health and social circumstances (example quotations are included in Table 4). The extent to which a patient adhered to treatment recommendations could be viewed by clinicians as an indication of the patient’s level of motivation to receive a kidney transplant and as a “litmus test” for how the patient would fare after transplant. We also found examples of clinicians encouraging patients to adhere to treatment recommendations by reminding them that adherence could impact their transplant candidacy. Clinicians at both the local medical center and the transplant center routinely reviewed patients’ medical records to assess the extent to which they were adhering to clinical recommendations and to identify risk factors for nonadherence. Missed clinic appointments and missed or shortened dialysis treatments were interpreted as indicators of “noncompliance” with little consideration for extenuating circumstances or the values and preferences of individual patients. Nonadherence to prescribed medications raised questions about whether patients would be able and willing to adhere to posttransplant medication regimens. However, clinicians tracked and encouraged adherence to a range of other medical recommendations that appeared to be less relevant to posttransplant care.

Disempowerment and Lack of Transparency

Patients often began the transplant evaluation around the same time that they started or were preparing to start dialysis treatment. When facing the prospect or experiencing the reality of long-term dialysis treatment, some patients expressed a willingness to do anything to avoid having to rely on dialysis for the remainder of their lives (example quotations are included in Table 5).

To help patients move forward with the transplant process, clinicians at the patient’s local medical center sometimes had to assume a more technical role, performing tests and administering treatments required by the transplant center even when these did not make sense to them, deviated from perceived best practices, or could be harmful.

Patients, family members, and local clinicians were often unsure or mistaken about the patient’s status in the transplant process. Documentation from specialists responsible for discrete aspects of the evaluation suggested that they did not always know how the results of their testing might impact a patient’s transplant candidacy. Clinician documentation suggested that patients were sometimes surprised to find that their candidacy had been declined by the transplant center.

Documentation from the transplant center rarely made explicit mention of the team’s role as stewards of a scarce resource. Letters to patients and referring clinicians focused instead on the transplant team’s assessment of the risk of negative outcomes and described what the team had determined to be in the best interests of individual patients. Transplant center assessments took little account of the priorities of individual patients and their willingness to assume risk. Clinicians’ notes in the medical record sometimes described patients’ distress at what they perceived to be arbitrary or unfair decisions about their transplant candidacy.

Discussion

Our thematic analysis of the medical records of a national sample of patients with advanced kidney disease who were referred for kidney transplant evaluation provides insights into how this process proceeds in real-world clinical settings. Because kidney transplant was a desirable goal for patients, they had little choice but to participate in an evaluation and selection process that could be inflexible and demanding and over which they and their local clinicians had little control.

The need to formally incorporate societal considerations that go beyond the needs of individual patients (eg, fair allocation of a scarce resource) distinguishes the evaluation and selection process for kidney and other types of solid organ transplants from most other clinical care processes. Nonetheless, there is general agreement that this process should strive to uphold patients’ goals, values, and preferences to the greatest extent possible.28 Our analysis suggests that there are opportunities to make the evaluation process more person-centered. Documentation in the medical record suggested that patients and their local clinicians were often unsure about what to expect from the evaluation process or about the rationale for evaluation requirements or selection decisions, which may impede shared decision-making.12,29 There was also little accommodation for the needs of patients and families and few opportunities for patients’ local clinicians to use their clinical judgment and provide individualized care.

Transplant centers are given substantial flexibility to define their own systems for evaluating and selecting transplant candidates with the aim of being responsive to the particular needs of the populations they serve.28 However, this approach can produce variability in the selection and evaluation processes across centers30-33 and limit transparency, accountability, and opportunities for stakeholder input, features that are critical for ensuring a fair allocation system.4-6 The use of subjective and non–evidence-based selection criteria34-36 and the rigidity with which these criteria are applied may have the unintended consequence of leaving patients and families vulnerable to the harms of overtesting,37 implicit bias,38,39 and discriminatory practices.40,41 In particular, we suspect that requirements for complete abstinence from substances (including legal substances),42 narrow definitions of acceptable social support,43,44 and insistence on “compliance” with a wide range of medical recommendations45 may have disproportionately impacted the most disadvantaged members of the cohort.

Our findings highlight the need for a more person-centered and equitable approach to the kidney transplant evaluation and selection process (eFigure 2 in the Supplement). An evaluation and selection process that is more substantially guided by high-quality evidence and communally accepted principles of fairness and social justice could limit the burden of irrelevant testing procedures and protect patients from harmful, arbitrary, and/or discriminatory evaluation and selection practices.37,40,46 More open communication and collaboration between the transplant center and patients’ local medical centers could also allow for greater transparency and flexibility in the evaluation process. A collaborative approach could empower local clinicians to individualize the evaluation process within established parameters to accommodate the needs and circumstances of individual patients and families.47 Greater transparency in the transplant evaluation and selection process could also serve to improve public accountability and trust5,18 and support shared decision-making by providing patients and their families with more realistic expectations about the evaluation.47

Strengths and Limitations

This study has several strengths and limitations. The national scope and integrated nature of the VA health care system allowed us to identify a representative sample of patients who were referred for transplant evaluation and to track their involvement from an early stage in the transplant process. However, because of the distinctive organizational structure of the VA transplant program, some of the themes that emerged from this analysis may not be transferable to other health systems or to groups of patients who are not well represented in the VA population, such as women and young adults. Some of our findings (eg, uncertainty about transplant status) are particularly notable because the VA system has an organizational policy regarding kidney transplant evaluation that is more explicit, centralized, and accountable than that of many other health care organizations.19,48 This study is also limited because not all aspects of clinical encounters were documented in the medical record and medical record documentation does not provide direct information about the experiences or perspectives of patients, families, or clinicians.

Conclusions

This qualitative analysis of documentation in the EHRs of a representative national sample of US veterans with advanced kidney disease who were referred to a VA transplant center suggests that there are opportunities to make the transplant evaluation process more person-centered and equitable. Our findings highlight the need for a more evidence-based, individualized, and collaborative approach to evaluation and selection for kidney transplant.

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Article Information

Accepted for Publication: September 11, 2020.

Published Online: November 23, 2020. doi:10.1001/jamainternmed.2020.6388

Correction: This article was corrected on January 4, 2021, to add CC-BY Open Access.

Open Access: This is an open access article distributed under the terms of the CC-BY License. © 2020 Butler CR et al. JAMA Internal Medicine.

Corresponding Author: Catherine R. Butler, MD, MA, Division of Nephrology, Department of Medicine, University of Washington, 1959 NE Pacific St, Campus Box 356521, Seattle, WA 98195 (cathb@nephrology.washington.edu).

Author Contributions: Drs Butler and O'Hare had full access to all of the data in the study and take responsibility for the integrity of the data and the accuracy of the data analysis.

Concept and design: Butler, Wightman, Richards, Laundry, Taylor, Liu, O'Hare.

Acquisition, analysis, or interpretation of data: Butler, Wightman, Richards, Hebert, Liu, O'Hare.

Drafting of the manuscript: Butler, Laundry.

Critical revision of the manuscript for important intellectual content: Butler, Wightman, Richards, Taylor, Hebert, Liu, O'Hare.

Statistical analysis: Butler, Laundry.

Obtained funding: Liu, O'Hare.

Administrative, technical, or material support: Butler, Wightman, Laundry, O'Hare.

Supervision: Wightman, Hebert, O'Hare.

Conflict of Interest Disclosures: Dr Butler reported receiving personal fees from the Washington State Medical Association outside the submitted work. Dr O'Hare reported receiving grants from VA Health Services Research and Development during the conduct of the study and grants from the Centers for Disease Control and Prevention, the National Institute of Diabetes and Digestive and Kidney Diseases, and VA Health Services Research and Development; personal fees from the American Society of Nephrology, Chugai Pharmaceutical Co, the Coalition for Supportive Care of Kidney Patients, the Devenir Foundation, Dialysis Clinic Inc (Nashville, Tennessee), Fresenius Medical Care, Hammersmith Hospital (London, United Kingdom), the Japanese Society for Dialysis Therapy, Kaiser Permanente of Southern California, the University of Alabama, the University of California–San Francisco, the University of Pennsylvania, and UpToDate; and fees for an operations project from the VA National Center for Ethics in Health Care outside the submitted work. No other disclosures were reported.

Funding/Support: This work was supported by grants IIR 12-126 (Drs Taylor, Hebert, Liu, and O’Hare) and IIR-18-032 (Drs Hebert and O’Hare) from VA Health Services Research and Development and grant 5T32DK007467-33 from the National Institute of Diabetes and Digestive and Kidney Diseases (Dr Butler).

Role of the Funder/Sponsor: The funding organizations had no role in the design and conduct of the study; collection, management, analysis, and interpretation of the data; preparation, review, or approval of the manuscript; and decision to submit the manuscript for publication.

Disclaimer: The contents of this article do not represent the views of the US Department of Veterans Affairs or the US Government.

Additional Contributions: Nancy S. Jecker, PhD, of the Department of Bioethics and Humanities, University of Washington, provided comments on an early draft of this manuscript and did not receive compensation for her assistance.

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