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In View: Expert Insight

Deconstructing Silos of Knowledge Around Lung Transplantation to Support Patients: A Patient-specific Search of Scientific Registry of Transplant Recipients Data

Israni, Ajay K. MD, MS1,2,3; Schladt, David MA4; Bruin, Marilyn J. PhD5; Chu, Sauman PhD5; Snyder, Jon J. PhD, MS2; Hertz, Marshall MD6; Valapour, Maryam MD, MPP6; Kasiske, Bertram MD2,3; McKinney, Warren T. PhD1,2; Schaffhausen, Cory R. PhD1,2

Author Information
doi: 10.1097/TP.0000000000004051

INTRODUCTION—DECISION MAKING AMONG UNCERTAINTY

Guidelines for selecting lung transplant candidates continue to evolve.1,2 Selection criteria for candidates vary across programs because of many factors, including changing evidence and differences in practice.3 This variation impacts both recipient outcomes and the experience of patients who are in need of a lung transplant.4,5 Patients must decide where to seek care and may undergo an evaluation at a program unlikely to list them. Although nearly 50.0% of recipients reside within 50 miles of their transplant program, >30.0% travel 100 miles or more.6 Many candidates rely on their providers for decision support, whereas others seek data from national registries to inform decision making.7 However, existing reports, such as the Scientific Registry of Transplant Recipients (SRTR) Program Specific Reports, do not readily inform patients of variations in selection criteria across transplant programs. Studies of solid organ transplants demonstrate that patients are often unaware of options and value information tailored to patient characteristics.8-11 There is a need to deconstruct silos of clinical knowledge and develop evidence-based resources to support decision making on program selection and donor options. Such patient-centered information will improve patient experience and maximize the benefit offered by lung transplants

Here we describe the development of the web site www.transplantcentersearch.org, intended to support patients by providing program-level data from the SRTR on each program in the United States. The web site allows patients to search for programs in the area of their choosing and receive information on the number of transplants and program factors that are most predictive of recipient survival after listing (eg, 1-y survival after transplant). Patients also have the ability to review information on recipients and donors at each program to further differentiate program options. This feature is patient-specific; the search allows patients to enter information about their clinical background (eg, age, prior lung transplant, body mass index) and indicate general preferences for their treatment (eg, travel distance, donor type) before receiving counts on recipients and donors matching their entries. Additional interactive features and a personalized decision guide offer further information and support on donor options (eg, ex vivo perfused or increased infectious risk donors) and patient factors that may impact access to transplant.

BALANCING INSIGHT AND ACCESSIBILITY

Improving the quality and breadth of public reporting of program outcomes has been a priority of the SRTR and organizations like the Society of Thoracic Surgeons and others for over a decade.12-16 Much of this work has focused on improving the clinical and regulatory efficacy of program metrics, but there has been a necessary underlying focus on how to make this information accessible to patients. Multidisciplinary teams comprising clinical investigators, social scientists, design experts, and biostatisticians are necessary to negotiate a balance between providing sufficiently robust and yet not overly complex information to patients. With this tension in mind, our team followed a mixed-methods approach (Tables S1 and S2, SDC, https://links.lww.com/TP/C347) that leveraged stakeholder input to buttress the complexity of the information provided.

The development of the web site involved 2 phases. In phase I, we examined variations between programs using data on waitlist and transplant outcomes from the SRTR. The SRTR data system includes data on all donors, waitlisted candidates, and transplant recipients in the United States, submitted by the members of the Organ Procurement and Transplantation Network. The Health Resources and Services Administration, US Department of Health and Human Services provides oversight to the activities of the Organ Procurement and Transplantation Network and SRTR contractors. We evaluated the variability in recipient and donor characteristics between July 1, 2017, and June 30, 2019 (see Appendix and Tables S3 and S4, SDC, https://links.lww.com/TP/C347). These data informed the development of the profile entry page and responsive notifications that inform the patient if they have characteristics or treatment preferences that may impact access to transplant (eg, travel distance, body mass index, age).

In phase II, we conducted interviews and focus groups with transplant candidates, recipients, and family members to gain insights into the decision-making process, barriers and knowledge gaps, and past experience seeking access to the waitlist.9-11 Participants were also shown mockups of the web site with iterative changes made to reflect feedback from earlier participants (Table S5, SDC, https://links.lww.com/TP/C347). This information was essential to refining the visual icons, descriptive text, and performance of interactive features (Table S6, SDC, https://links.lww.com/TP/C347). By the conclusion of phase II, we created a functioning prototype of the search tool with feedback from critical stakeholders and data from SRTR that can be updated biannually. Following the close of phase II, we conducted usability testing of the prototype to refine the final version of the web site. An example of the results from the patient-specific search is shown in Figure 1.

F1
FIGURE 1.:
Example of patient-specific search results showing the number of recipients with age >65 y. Example of the patient-specific search results showing tiered measures for survival on the waitlist, getting a transplant faster, and 1-y posttransplant survival. Results also show the number of recipients at each center with age >65 y. The tiered metrics for survival on the waitlist, getting a transplant faster, and 1-y lung survival are not impacted by the profile entries. Rather, these metrics reflect risk-adjusted models of program-level variations.

CONCLUSION

Selecting a transplant program can be a difficult decision for patients and families. Choices are often constrained by insurance and the feasibility and costs of having to travel for care. Gaps in knowledge about how programs vary according to which types of candidates and donors are accepted only make this process more difficult. By developing patient-centered and evidence-based resources, we may intervene in the process and enable patients to make informed decisions about their care. Though we feel such tools can benefit all patients and related stakeholders, they may provide enhanced benefit to patients with more resources and discretion over program options. At the same time, the tool provides patients with limited program options essential insight into the availability of expanded donor options that may improve access and reduce waits. Further study is warranted to mitigate barriers stemming from low healthcare literacy and numeracy, unequal access to the internet, and even trust. Although the tool is publicly available to patients, multiple participants communicated a desire to use the tool in consultation with a provider. Focus groups with patients and providers may identify the optimal timing, frequency, and approach for using the tool in a clinic, support group, or home setting.

As our project moves forward, we are conducting randomized trials to evaluate the efficacy of the web site. We will also evaluate strategies for integrating the web site into clinical practice to increase and standardize use of the web site. Efforts to support patients in need of transplant need not be limited to decision support or risk-adjusted measures currently reported by SRTR. New metrics such as intention-to-treat inspired metrics that encompass both waitlist and posttransplant mortality may provide enhanced decision support and motivate changes in clinical practices. Likewise, additional support may be necessary after acceptance on the waitlist, especially if considering alternative donor options may improve patient outcomes. As the community of providers and investigators develops new knowledge and capabilities for assessing differences between programs, we must not lose sight of the decisions facing patients and the need for accessible and robust information to enable informed decision making.

REFERENCES

1. Weill D, Benden C, Corris PA, et al. A consensus document for the selection of lung transplant candidates: 2014—an update from the Pulmonary Transplantation Council of the International Society for Heart and Lung Transplantation. J Heart Lung Transplant. 2015;34:1–15.
2. Leard LE, Holm AM, Valapour M, et al. Consensus document for the selection of lung transplant candidates: an update from the International Society for Heart and Lung Transplantation. J Heart Lung Transplant. 2021;40:1349–1379.
3. Levine SM; Transplant/Immunology Network of the American College of Chest Physicians. A survey of clinical practice of lung transplantation in North America. Chest. 2004;125:1224–1238.
4. Lehr CJ, Blackstone EH, McCurry KR, et al. Extremes of age decrease survival in adults after lung transplant. Chest. 2020;157:907–915.
5. Ramos KJ, Kapnadak SG, Bradford MC, et al. Underweight patients with cystic fibrosis have acceptable survival following lung transplantation: a United Network for Organ Sharing Registry Study. Chest. 2020;157:898–906.
6. Valapour M, Lehr CJ, Skeans MA, et al. OPTN/SRTR 2019 annual data report: lung. Am J Transplant. 2021;21 Suppl 2:441–520.
7. Schaffhausen CR, Bruin MJ, Chesley D, et al. What patients and members of their support networks ask about transplant program data. Clin Transplant. 2017;31:e13125.
8. Schaffhausen CR, Bruin MJ, McKinney WT, et al. How patients choose kidney transplant centers: a qualitative study of patient experiences. Clin Transplant. 2019;33:e13523.
9. McKinney WT, Schaffhausen CR, Bruin MJ, et al. Development of a patient-specific search of transplant program outcomes and characteristics: feedback from kidney transplant patients. Transplant Direct. 2020;6:e585.
10. Schaffhausen CR, Bruin MJ, Chu S, et al. Tool to aid patients in selecting a liver transplant center. Liver Transpl. 2020;26:337–348.
11. McKinney WT, Schaffhausen CR, Schladt D, et al. Designing a patient-specific search of transplant program performance and outcomes: feedback from heart transplant candidates and recipients. Clin Transplant. 2021;35:e14183.
12. Shahian DM, Grover FL, Prager RL, et al. The Society of Thoracic Surgeons voluntary public reporting initiative: the first 4 years. Ann Surg. 2015;262:526–533.
13. Hibbard JH, Peters E. Supporting informed consumer health care decisions: data presentation approaches that facilitate the use of information in choice. Annu Rev Public Health. 2003;24:413–433.
14. Sofaer S, Hibbard J. Best Practices in Public Reporting No. 2: Maximizing Consumer Understanding of Public Comparative Quality Reports: Effective Use of Explanatory Information. Agency for Healthcare Research and Quality; 2010.
15. Slaughter SE, Zimmermann GL, Nuspl M, et al. Classification schemes for knowledge translation interventions: a practical resource for researchers. BMC Med Res Methodol. 2017;17:161.
16. Salkowski N, Snyder JJ, Zaun DA, et al. A scientific registry of transplant recipients bayesian method for identifying underperforming transplant programs. Am J Transplant. 2014;14:1310–1317.

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