The Implementation Process for Pharmacogenomic Testing for Cancer-Targeted Therapies
Abstract
:1. Introduction
2. Materials and Methods
2.1. Overall Design
2.2. Sampling
2.3. Instrument and Data Collection
2.4. Analysis
3. Results
3.1. Challenges, Adaptations, Impact, and Recommendations
3.1.1. Ordering Tests
3.1.2. Laboratory Analysis of Samples
3.1.3. Reporting of Results
3.1.4. Payment for Tests
4. Discussion
Author Contributions
Funding
Acknowledgments
Conflicts of Interest
References
- McCarthy, J.J.; McLeod, H.L.; Ginsburg, G.S. Genomic medicine: A decade of successes, challenges, and opportunities. Sci. Transl. Med. 2013, 5, 189sr184. [Google Scholar] [CrossRef] [PubMed]
- Aronson, S.J.; Rehm, H.L. Building the foundation for genomics in precision medicine. Nature 2015, 526, 336–342. [Google Scholar] [CrossRef] [PubMed]
- Khoury, M.J.; Gwinn, M.; Yoon, P.W.; Dowling, N.; Moore, C.A.; Bradley, L. The continuum of translation research in genomic medicine: How can we accelerate the appropriate integration of human genome discoveries into health care and disease prevention? Genet. Med. 2007, 9, 665–674. [Google Scholar] [CrossRef] [PubMed]
- Phillips, K.A. Closing the evidence gap in the use of emerging testing technologies in clinical practice. JAMA 2008, 300, 2542–2544. [Google Scholar] [CrossRef] [PubMed]
- National Institute of Health. Genetic Testing Registry. Available online: https://www.ncbi.nlm.nih.gov/gtr/ (accessed on 1 October 2018).
- Wang, B.; Canestaro, W.J.; Choudhry, N.K. Clinical evidence supporting pharmacogenomic biomarker testing provided in US Food and Drug Administration drug labels. JAMA Intern. Med. 2014, 174, 1938–1944. [Google Scholar] [CrossRef] [PubMed]
- Duffy, M.J.; Harbeck, N.; Nap, M.; Molina, R.; Nicolini, A.; Senkus, E.; Cardoso, F. Clinical use of biomarkers in breast cancer: Updated guidelines from the European Group on Tumor Markers (EGTM). Eur. J. Cancer 2017, 75, 284–298. [Google Scholar] [CrossRef] [PubMed]
- Greenhalgh, J.; Dwan, K.; Boland, A.; Bates, V.; Vecchio, F.; Dundar, Y.; Jain, P.; Green, J.A. First-line treatment of advanced epidermal growth factor receptor (EGFR) mutation positive non-squamous non-small cell lung cancer. Cochrane Database Syst. Rev. 2016, CD010383. [Google Scholar] [CrossRef] [PubMed]
- Levy, D.E.; Byfield, S.D.; Comstock, C.B.; Garber, J.E.; Syngal, S.; Crown, W.H.; Shields, A.E. Underutilization of BRCA1/2 testing to guide breast cancer treatment: Black and Hispanic women particularly at risk. Genet. Med. 2011, 13, 349–355. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Haas, J.S.; Phillips, K.A.; Liang, S.Y.; Hassett, M.J.; Keohane, C.; Elkin, E.B.; Armstrong, J.; Toscano, M. Genomic testing and therapies for breast cancer in clinical practice. J. Oncol. Pract. 2011, 7, e1s–e7s. [Google Scholar] [CrossRef] [PubMed]
- Stanek, E.J.; Sanders, C.L.; Taber, K.A.; Khalid, M.; Patel, A.; Verbrugge, R.R.; Agatep, B.C.; Aubert, R.E.; Epstein, R.S.; Frueh, F.W. Adoption of pharmacogenomic testing by US physicians: Results of a nationwide survey. Clin. Pharmacol. Ther. 2012, 91, 450–458. [Google Scholar] [CrossRef] [PubMed]
- Peppercorn, J.; Hamilton, E.; Marcom, P.K.; Beskow, L.; Lyman, G.H. Pharmacogenetic testing in the face of unclear clinical efficacy: Lessons from cytochrome P450 2D6 for tamoxifen. Cancer 2013, 119, 3703–3709. [Google Scholar] [CrossRef] [PubMed]
- Hoop, J.G.; Roberts, L.W.; Green Hammond, K.A.; Cox, N.J. Psychiatrists’ attitudes regarding genetic testing and patient safeguards: A preliminary study. Genet. Test. 2008, 12, 245–252. [Google Scholar] [CrossRef] [PubMed]
- Wu, A.C.; Mazor, K.M.; Ceccarelli, R.; Loomer, S.; Lu, C.Y. Access to Guideline-Recommended Pharmacogenomic Tests for Cancer Treatments: Experience of Providers and Patients. J. Pers. Med. 2017, 7, 17. [Google Scholar] [CrossRef] [PubMed]
- Henrikson, N.B.; Tuzzio, L.; Loggers, E.T.; Miyoshi, J.; Buist, D.S. Patient and oncologist discussions about cancer care costs. Support Care Cancer 2014, 22, 961–967. [Google Scholar] [CrossRef] [PubMed]
- Miller, F.A.; Krueger, P.; Christensen, R.J.; Ahern, C.; Carter, R.F.; Kamel-Reid, S. Postal survey of physicians and laboratories: Practices and perceptions of molecular oncology testing. BMC Health Serv. Res. 2009, 9, 131. [Google Scholar] [CrossRef] [PubMed]
- Johnson, L.M.; Valdez, J.M.; Quinn, E.A.; Sykes, A.D.; McGee, R.B.; Nuccio, R.; Hines-Dowell, S.J.; Baker, J.N.; Kesserwan, C.; Nichols, K.E.; et al. Integrating next-generation sequencing into pediatric oncology practice: An assessment of physician confidence and understanding of clinical genomics. Cancer 2017, 123, 2352–2359. [Google Scholar] [CrossRef] [PubMed]
- Van Karnebeek, C.D.M.; Wortmann, S.B.; Tarailo-Graovac, M.; Langeveld, M.; Ferreira, C.R.; van de Kamp, J.M.; Hollak, C.E.; Wasserman, W.W.; Waterham, H.R.; Wevers, R.A.; et al. The role of the clinician in the multi-omics era: Are you ready? J. Inherit. Metab. Dis. 2018, 41, 571–582. [Google Scholar] [CrossRef] [PubMed]
- Gaff, C.L.; Winship, I.M.; Forrest, S.M.; Hansen, D.P.; Clark, J.; Waring, P.M.; South, M.; Sinclair, A.H. Preparing for genomic medicine: A real world demonstration of health system change. NPJ Genom. Med. 2017, 2, 16. [Google Scholar] [CrossRef] [PubMed]
- Weldon, C.B.; Trosman, J.R.; Gradishar, W.J.; Benson, A.B., 3rd; Schink, J.C. Barriers to the use of personalized medicine in breast cancer. J. Oncol. Pract. 2012, 8, e24–e31. [Google Scholar] [CrossRef] [PubMed]
Stakeholder Group | ||
Provider | 10 | |
Patient | 16 | |
Diagnostic Lab | 8 | |
Sex | ||
Female | 20 | |
Male | 14 | |
Ethnicity/Race | ||
Asian | 4 | |
White | 29 | |
More than One Race | 1 | |
Age | ||
30–39 years | 4 | |
40–49 years | 8 | |
50–59 years | 14 | |
Over 60 years | 8 | |
Cancer Type * | Provider | Patient |
Breast | 3 | 5 |
Colorectal | 2 | 0 |
Non-Small-Cell Lung Cancer | 5 | 3 |
Prostate | 0 | 2 |
Leukemia | 3 | 4 |
Other | 4 | 5 |
Drug^ | ||
Cetuximab | 1 | 2 |
Panitumumab | 0 | 0 |
Trastuzumab | 1 | 5 |
Pertuzumab | 1 | 0 |
Ado-Trastuzumab Emtansine | 1 | 0 |
Lapatinib | 1 | 0 |
Trametinib | 2 | 0 |
Dabrafenib | 2 | 3 |
Crizotinib | 5 | 5 |
Dasatinib | 3 | 2 |
Imatinib | 2 | 0 |
Bosutinib | 3 | 0 |
Theme Category | Subtheme | Quotation | Stakeholders |
---|---|---|---|
Ordering Challenge | Clinical implementation process is time-consuming, variable | I have to be telling them I’m sorry. I submitted the prior authorization, I’m waiting for the insurance, I’m sure it will be approved just give me another few days and I’ll get back to you. | Providers, Labs |
Ordering Challenge | No set process for ordering; no designated staff; time consuming Providers may not have needed expertise to select the correct test | I think the ordering physicians are sometimes confused and I think the patients are sometimes confused. | Providers, Labs |
Ordering Challenge | Multiple labs offering sequencing | There are a lot of labs out there that now are offering something in this gene sequencing area. It seems like every day another lab pops up and one has a specific test for colon cancer and one has a specific test for breast cancer, another for pancreatic, another has this, another has that. I think it’s confusing to clinicians. | Labs |
Ordering Challenge | Patients do not know if tests will be paid for | I think it’s confusing to patients at times because they don’t know if it’s going to be paid for. | Providers |
Ordering Adaptation | Resources made available for all parties to understand complex field | And we have a lot of technical resources, both fields based and available on the phone, to discuss test choices with clinicians, to discuss results with clinicians, to say— if they have questions, if they get answer 1 back, if they should do another step, if I should look at something else. There are a lot of resources available. I think that that’s the way this area is built; to be very, very consultative. | Labs |
Ordering Impact | Panel tests may be unnecessarily ordered | Ordering physicians are grabbing a lot of information and the thought is that patients will unnecessarily act upon some of this genetic information that never may manifest itself. | Labs |
Ordering Recommendation | Insurer policies need to be clinically relevant | So recognizing that the payers couldn’t come up with it themselves, and if they came up with it themselves it probably wouldn’t be in line with what we consider to be clinically relevant. | Labs |
Ordering Recommendation | Need definitions and to establish clinical utility | Along with that comes proof of clinical utility and I think many medical directors view genetic testing currently in oncology as—outside of the danger of EGFR*, BRAF, KRAS, apart from the standard of care tests, larger panels or next gen sequencing, they don’t see the levels of evidence that they see for other covered services. And so that’s a challenge. | Labs |
Ordering Recommendation | Need better information technology support | The two big [challenges] would be IT support and informatics support. | Labs |
Lab Analysis of Samples Challenge | Unable to stop request once made | Unfortunately, because of how molecular pathology works—and a lot of our payer’s struggle to understand this—is it’s not like giving a drug… there’s not really an easy way to stop the test [if prior authorization is not approved]. So it’s not the type of thing where we can call the payer and say this is what we’re doing, and if they say it’s not approved, we can’t really do anything about it. We can’t stop it, it’s already kind of in progress. From our perspective, it’s the first step of getting that authorization because right now we’re not getting that authorization and having to eat the cost if it comes back no prior authorization. | Labs |
Lab Analysis of Samples Impact | Lab sometimes reports test results before knowing who will pay | Many times we will report out the test results before we can present what the patients out-of-pocket costs will be. If we determine that there are no prior authorizations, it’s a small window of time, let’s say five business days, to go back and get that because you never want the sample to go bad. | Labs |
Lab Analysis of Samples Impact | Lab does not report findings because test was not paid for | Well once it’s [testing] done, it’s done. If it’s done in the middle, it happens very rarely I have to say— But once in a while it does and honestly, we just kind of finish it off but then we don’t report it. So that’s kind of what we do because it’s hard to stop in the middle. | Labs |
Lab Analysis of Samples Adaptation | Labs starting to ask patients to sign a waiver that they will cover the costs if the insurer does not | we may start asking the patients to sign a waiver if we can’t get approval for it just because … there isn’t enough evidence where we would be able to confidently say we can for sure get this covered. | Labs |
Lab Analysis of Samples Adaptation | Phone calls, try to get PA | If [prior authorization is not approved], the very next morning we make some phone calls to see, before the test-prep for the test can start but the test actually isn’t in the rigors of being done. So we can stop, make some phone calls and try to get the prior auth. or try to get the clinicians office to get the prior auth. for us. | Labs |
Lab Analysis of Samples Adaptation | Price degradation | Absolutely, it is a competitive market and we use price degradation as more and more of these labs jump in, especially the cancer piece. If you see that price going down and down and down. … We negotiate a flat rate and that flat rate is definitely market competitive. | Labs |
Lab Analysis of Samples Adaptation | Negotiate with insurers | We are, in some cases, trying to negotiate with payers such that we have an availability to have a little gap so that it’s not just prior authorizations. … We have been able to negotiate with some payers recently, this window [before sample goes bad] so it’s kind of prior and post-authorization. | Labs |
Reporting of Results Challenge | Clinical utility of tests difficult to assess; Difficult to determine whether results are being used appropriately | The other aspect that makes that area more challenging is that the test itself typically isn’t the intervention that causes the benefit, it’s typically some therapy that that test informs or doesn’t inform. So if it’s a surgical procedure or a drug, it’s relatively straightforward—does that drug or procedure have the intended effect. For the diagnostic test, it’s both: does that test measure what it says it measures and then second, does measuring what it says it measures actually matter in therapy? And that gets much grittier. | Provider |
Reporting of Results Challenge | Provider may not have expertise interpreting results genetic tests | So a better understanding on behalf of the providers so that they understand when we give them a result, that’s positive or negative, what does that really mean. | Labs |
Reporting of Results Challenge | Patients are given results without context or education | I think that’s a very concerning area in general with patient portals because they have access to all sorts of information that they have to understand without any context or background. | Labs |
Reporting of Results Adaptation | Labs attempt to stay on top of technology | [Our lab] is trying to, because we are connected to so many doctors, we are trying to stay up with all the technology that’s out there. | Labs |
Reporting of Results Adaptation | Labs trying to inform insurers | We have a spreadsheet full of some of the best papers out there supporting each gene for each indication so that is something that so [some] payers… relied on our clinical experts to help create their medical policy and so we have used our approach to determine nationally, or regionally rather, what is clinically appropriate. | Labs |
Reporting of Results Adaptation | Work with doctors to interpret results and have meaningful impact on treatment decision | And so we’ve really spent a lot of our recent efforts over the last two years or so in trying to create that bridge from results the doctors gets to the actual treatment of the patient. | Labs |
Reporting of Results Recommendation | Patients and providers given better understanding of testing/results | It would help if more of the patients— more of the people who ordered the tests really understood what the test can and cannot tell them. So a better understanding on behalf of the providers so that they understand when we give them a result that’s positive, or negative, what does that really mean. | |
Payment for tests Challenge | Insurance policies vary, including in requirements for prior authorization; cost is unknown | More and more plans are requiring prior authorization for genetic testing to be able to get a handle on what they’re paying for and so we see the health plans requiring PA, more and more prior authorizations, not just for cancer but for genetic testing. | Lab |
Payment for tests Characteristic | If insurer does not cover, patient covers or laboratory absorbs cost | The biggest denials we’re seeing today are for our payers that are now requiring prior authorization. Unfortunately—well fortunately, depends on who you ask—those come back as provider liable not patient liable. So we have to just eat the cost of those. We will try to appeal them sometimes, depending upon the volume. But for the most part, there’s not much we can do about those. […] So, if the payer denies it, patient liable, we would bill the patient. | Lab |
Payment for tests Challenge | Challenge: Coding is confusing | And then these panel codes came along and it kind of mucked up the water because panel codes are described as a next generation sequencing test of 5 to 50 genes, a next gen sequencing test of 50 or more genes which seems to imply more method than the specific gene. … So depending upon which institute you ask, people have different interpretations of that. | Labs |
Payment for tests Adaptation | Ask patients to sign waiver that they will cover costs if insurer does not | So for commercial insurance, we will have them sign a waiver. We aren’t doing it yet today but again, everything we’re billing today, we have done extensive research to make sure that it meets a certain level of clinical evidence. | Labs |
Payment for tests Adaptation | Vendor directly charges insurance | [When] the vendor then charges directly the insurance and bypasses the hospital getting a bill, that has been very good for pathology because they have a less of a headache of keeping track of reimbursements but it also has made it a little bit less clear for the providers when a patient runs into a problem with insurance coverage because we basically don’t get those bills within our system. | Providers |
Payment for tests Adaptation | Patients can cancel test to not incur cost | So there is a point in time, if the results haven’t been reported, to say to the patient, this is your OOP cost. At that point, the patient will say I don’t want it. Cancel the test. And so we will cancel the test. I don’t think we give them the option. I would have to check on that. | Labs |
Payment for tests Adaptation | Compile data and discuss with insurer | If I determine we have a payer that’s rejecting a lot of X, Y, Z test(s) and it costs me a lot to do, and they’re paying for 10% of them and we get 90% of them, then I compile that data. And then I would go back to the plan and have a conversation. And I say, let’s talk about this, let’s figure it out. Because one way or another, you have to figure out a way to get paid. Whether that’s by you or by the patient. | Labs |
Payment for tests Adaptation | Appeal | So that appeals group will look to the literature that we’ve identified in conjunction with the clinical team. They may reach out to the doctor that specifically was treating that patient for further support of why it was clinically relevant. And then they will work with them and try and write an appeal to the insurance company. | Labs |
Payment for tests Recommendation | Concise, transparent forms | I just wish they would make it a little easier to fill out the forms without having to go back and forth and back and forth. | Providers |
Payment for tests Recommendation | Prior authorization procedures should be easy to find | So if all the insurance companies could get standardized in terms of the form, that would make it so much easier for the patients and for us. Some what you do is submit online, some you have to fill out a form and then you have to fax it, it’s even that varies. | Labs |
Payment for tests Recommendation | Real-time adjudication | We’ve rolled out with some payers in some regions and with a couple of the national payers, that is called real time adjudication which would do that so it doesn’t charge the patient. It does that computer connection, it pings the payer system right from before the patient gets their blood draws … So the real time adjudication is going to be the answer because then it will be specific for me as a patient, versus you as a patient. | Labs |
Payment for tests Recommendation | Universal coverage documentation | [Some] groups are really pushing for a national coverage document instead of these local coverage determinations. But people are tentative about that though because there is so much variation and we would want to make sure they went with one that was in agreement with our assessment versus some of them that are not in agreement with what we consider clinically relevant. | Labs |
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Share and Cite
Wu, A.C.; Mazor, K.M.; Ceccarelli, R.; Loomer, S.; Lu, C.Y. The Implementation Process for Pharmacogenomic Testing for Cancer-Targeted Therapies. J. Pers. Med. 2018, 8, 32. https://doi.org/10.3390/jpm8040032
Wu AC, Mazor KM, Ceccarelli R, Loomer S, Lu CY. The Implementation Process for Pharmacogenomic Testing for Cancer-Targeted Therapies. Journal of Personalized Medicine. 2018; 8(4):32. https://doi.org/10.3390/jpm8040032
Chicago/Turabian StyleWu, Ann Chen, Kathleen M. Mazor, Rachel Ceccarelli, Stephanie Loomer, and Christine Y. Lu. 2018. "The Implementation Process for Pharmacogenomic Testing for Cancer-Targeted Therapies" Journal of Personalized Medicine 8, no. 4: 32. https://doi.org/10.3390/jpm8040032