Genetics Adviser: a protocol for a mixed-methods randomised controlled trial evaluating a digital platform for genetics service delivery

Salma Shickh, Daena Hirjikaka, Marc Clausen, Rita Kodida, Chloe Mighton, Emma Reble, Jordan Sam, Seema Panchal, Melyssa Aronson, Tracy Graham, Susan Randall Armel, Emily Glogowski, Christine Elser, Andrea Eisen, June C Carroll, Cheryl Shuman, Emily Seto, Nancy N Baxter, Adena Scheer, Serena Shastri-Estrada, Geoff Feldman, Kevin E Thorpe, Kasmintan A Schrader, Jordan Lerner-Ellis, Raymond H Kim, Hanna Faghfoury, Yvonne Bombard, Salma Shickh, Daena Hirjikaka, Marc Clausen, Rita Kodida, Chloe Mighton, Emma Reble, Jordan Sam, Seema Panchal, Melyssa Aronson, Tracy Graham, Susan Randall Armel, Emily Glogowski, Christine Elser, Andrea Eisen, June C Carroll, Cheryl Shuman, Emily Seto, Nancy N Baxter, Adena Scheer, Serena Shastri-Estrada, Geoff Feldman, Kevin E Thorpe, Kasmintan A Schrader, Jordan Lerner-Ellis, Raymond H Kim, Hanna Faghfoury, Yvonne Bombard

Abstract

Introduction: The high demand for genetic tests and limited supply of genetics professionals has created a need for alternative service delivery models. Digital tools are increasingly being used to support multiple points in the genetic testing journey; however, none are transferable across multiple clinical specialties and settings nor do they encompass the entire trajectory of the journey. We aim to evaluate the effectiveness of the Genetics Adviser, an interactive, patient-facing, online digital health tool that delivers pre-test counselling, provides support during the waiting period for results, and returns results with post-test counselling, encompassing the entire patient genetic testing journey.

Methods and analysis: We will compare the Genetics Adviser paired with a brief genetic counselling session to genetic counselling alone in a randomised controlled trial. One hundred and forty patients who previously received uninformative genetic test results for their personal and family history of cancer will be recruited from familial cancer clinics in Toronto and offered all clinically significant results from genomic sequencing. Participants randomised into the intervention arm will use the Genetics Adviser to learn about genomic sequencing, receive pre-test counselling, support during the waiting period and results, supplemented with brief counselling from a genetic counsellor. Participants in the control arm will receive standard pre-test and post-test counselling for genomic sequencing from a genetic counsellor. Our primary outcome is decisional conflict following pre-test counselling from the Genetics Adviser+genetic counsellor or counsellor alone. Secondary outcomes include: knowledge, satisfaction with decision-making, anxiety, quality of life, psychological impact of results, empowerment, acceptability and economic impact for patients and the health system. A subset of patients will be interviewed to assess user experience.

Ethics and dissemination: This study has been approved by Clinical Trials Ontario Streamlined Research Ethics Review System (REB#20-035). Results will be shared through stakeholder workshops, national and international conferences and peer-reviewed journals.

Trial registration number: NCT04725565.

Keywords: Clinical trials; GENETICS; Health policy.

Conflict of interest statement

Competing interests: None declared.

© Author(s) (or their employer(s)) 2022. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.

Figures

Figure 1
Figure 1
The Genetics Adviser, delivering pre-test counselling, waiting period support and result disclosure via all mobile applications such as smartphones and tablets or computer/desktop applications.
Figure 2
Figure 2
Overview of the Genetics Adviser trial.

References

    1. Bunnik EM, Dondorp WJ, Bredenoord AL, et al. . Mainstreaming informed consent for genomic sequencing: a call for action. Eur J Cancer 2021;148:405–10. 10.1016/j.ejca.2021.02.029
    1. Sturm A. Improving Access to Genetic Counselors under H.R. 3235, the “Access to Genetic Counselor Services Act” of 2019. American Society of Human Genetics. Available:
    1. Villegas C, Haga SB. Access to Genetic Counselors in the southern United States. J Pers Med 2019;9. 10.3390/jpm9030033. [Epub ahead of print: 01 07 2019].
    1. Ormond KE, Laurino MY, Barlow-Stewart K, et al. . Genetic counseling globally: where are we now? Am J Med Genet C Semin Med Genet 2018;178:98–107. 10.1002/ajmg.c.31607
    1. Birch PH. Interactive e-counselling for genetics pre-test decisions: where are we now? Clin Genet 2015;87:209–17. 10.1111/cge.12430
    1. Bombard Y, Hayeems RZ. How digital tools can advance quality and equity in genomic medicine. Nat Rev Genet 2020;21:505–6. 10.1038/s41576-020-0260-x
    1. McCuaig JM, Tone AA, Maganti M, et al. . Modified panel-based genetic counseling for ovarian cancer susceptibility: a randomized non-inferiority study. Gynecol Oncol 2019;153:108–15. 10.1016/j.ygyno.2018.12.027
    1. Birch P, Adam S, Bansback N, et al. . Decide: a decision support tool to facilitate parents' choices regarding genome-wide sequencing. J Genet Couns 2016;25:1298–308. 10.1007/s10897-016-9971-8
    1. Bombard Y, Clausen M, Mighton C, et al. . The Genomics ADvISER: development and usability testing of a decision aid for the selection of incidental sequencing results. Eur J Hum Genet 2018;26:984–95. 10.1038/s41431-018-0144-0
    1. Adam S, Birch PH, Coe RR, et al. . Assessing an interactive online tool to support parents' genomic testing decisions. J Genet Couns 2018. 10.1007/s10897-018-0281-1
    1. Grimmett C, Brooks C, Recio-Saucedo A, et al. . Development of breast cancer choices: a decision support tool for young women with breast cancer deciding whether to have genetic testing for BRCA1/2 mutations. Support Care Cancer 2019;27:297–309. 10.1007/s00520-018-4307-x
    1. Shickh S, Rafferty SA, Clausen M, et al. . The role of digital tools in the delivery of genomic medicine: enhancing patient-centered care. Genet Med 2021;23:1086–94. 10.1038/s41436-021-01112-1
    1. Bombard Y, Clausen M, Shickh S, et al. . Effectiveness of the Genomics ADvISER decision aid for the selection of secondary findings from genomic sequencing: a randomized clinical trial. Genet Med 2020;22:727–35. 10.1038/s41436-019-0702-z
    1. Managing incidental and pertinent findings from WGS in the 100,000 Genomes Project, PHG Foundation (2013), ISBN 978-1-907198-12-0.
    1. Shickh S, Clausen M, Mighton C, et al. . Evaluation of a decision aid for incidental genomic results, the Genomics ADvISER: protocol for a mixed methods randomised controlled trial. BMJ Open 2018;8:e021876. 10.1136/bmjopen-2018-021876
    1. Schoonenboom J, Johnson RB. How to Construct a Mixed Methods Research Design. Kolner Z Soz Sozpsychol 2017;69:107–31. 10.1007/s11577-017-0454-1
    1. Tashakkori A, Teddlie C. Handbook of mixed methods in social & behavioral research. SAGE Publications, 2003: xv, 768 p.
    1. Chan A-W, Tetzlaff JM, Gøtzsche PC, et al. . Spirit 2013 explanation and elaboration: guidance for protocols of clinical trials. BMJ 2013;346:e7586. 10.1136/bmj.e7586
    1. Chan A-W, Tetzlaff JM, Altman DG, et al. . Spirit 2013 statement: defining standard protocol items for clinical trials. Ann Intern Med 2013;158:200–7. 10.7326/0003-4819-158-3-201302050-00583
    1. Shickh S, Clausen M, Mighton C, et al. . Health outcomes, utility and costs of returning incidental results from genomic sequencing in a Canadian cancer population: protocol for a mixed-methods randomised controlled trial. BMJ Open 2019;9:e031092. 10.1136/bmjopen-2019-031092
    1. Wakefield CE, Meiser B, Homewood J, et al. . Randomized trial of a decision aid for individuals considering genetic testing for hereditary nonpolyposis colorectal cancer risk. Cancer 2008;113:956–65. 10.1002/cncr.23681
    1. Laupacis A, O'Connor AM, Drake ER, et al. . A decision aid for autologous pre-donation in cardiac surgery-a randomized trial. Patient Educ Couns 2006;61:458–66. 10.1016/j.pec.2005.05.014
    1. Miller FA, Hayeems RZ, Bytautas JP, et al. . Testing personalized medicine: patient and physician expectations of next-generation genomic sequencing in late-stage cancer care. Eur J Hum Genet 2014;22:391–5. 10.1038/ejhg.2013.158
    1. Sandelowski M. Sample size in qualitative research. Res Nurs Health 1995;18:179–83. 10.1002/nur.4770180211
    1. Morse JM. Designing funded qualitative research. In: Denzin NKL, ed. Handbook of qualitative research. Thousand Oaks, CA.: Sage, 1994.
    1. Miles M, Huberman AH. Qualitative data analysis; an expanded sourcebook. Newbury Park, CA: Sage, 1994.
    1. Strauss A, Corbin J. Basics of qualitative research: techniques and procedures for developing grounded theory. Second ed. Sage Publications, 1998.
    1. Coyne IT. Sampling in qualitative research. purposeful and theoretical sampling; merging or clear boundaries? J Adv Nurs 1997;26:623–30. 10.1046/j.1365-2648.1997.t01-25-00999.x
    1. O'Connor AM. Validation of a decisional conflict scale. Med Decis Making 1995;15:25–30. 10.1177/0272989X9501500105
    1. O'Connor AM, Tugwell P, Wells GA, et al. . A decision aid for women considering hormone therapy after menopause: decision support framework and evaluation. Patient Educ Couns 1998;33:267–79. 10.1016/S0738-3991(98)00026-3
    1. O’Connor A. Ottawa decision support framework (ODSF). Available: [Accessed January 2 2022].
    1. Connor AM. User Manual- decisional conflict scale, 2010. Available: [Accessed January 2 2022].
    1. Kaphingst KA, Facio FM, Cheng M-R, et al. . Effects of informed consent for individual genome sequencing on relevant knowledge. Clin Genet 2012;82:408–15. 10.1111/j.1399-0004.2012.01909.x
    1. Holmes-Rovner M, Kroll J, Schmitt N, et al. . Patient satisfaction with health care decisions: the satisfaction with decision scale. Med Decis Making 1996;16:58–64. 10.1177/0272989X9601600114
    1. Julian LJ. Measures of anxiety: State-Trait anxiety inventory (STAI), Beck anxiety inventory (BAI), and hospital anxiety and depression Scale-Anxiety (HADS-A). Arthritis Care Res 2011;63:S467–72. 10.1002/acr.20561
    1. Ware J, Kosinski M, Keller SD. A 12-Item short-form health survey: construction of scales and preliminary tests of reliability and validity. Med Care 1996;34:220–33. 10.1097/00005650-199603000-00003
    1. Li M, Bennette CS, Amendola LM, et al. . The feelings about genomiC testing results (factor) questionnaire: development and preliminary validation. J Genet Couns 2019;28:477–90. 10.1007/s10897-018-0286-9
    1. Carere DA, Kraft P, Kaphingst KA, et al. . Consumers report lower confidence in their genetics knowledge following direct-to-consumer personal genomic testing. Genet Med 2016;18:65–72. 10.1038/gim.2015.34
    1. Kaphingst KA, McBride CM, Wade C, et al. . Consumers' use of web-based information and their decisions about multiplex genetic susceptibility testing. J Med Internet Res 2010;12:e41. 10.2196/jmir.1587
    1. Grant PE, Pampaka M, Payne K, et al. . Developing a short-form of the genetic counselling outcome scale: the genomics outcome scale. Eur J Med Genet 2019;62:324–34. 10.1016/j.ejmg.2018.11.015
    1. Fan CW, Castonguay L, Rummell S, et al. . Online module for carrier screening in Ashkenazi Jewish individuals compared with in-person genetics education: a randomized controlled trial. J Genet Couns 2018;27:426–38. 10.1007/s10897-017-0133-4
    1. Haun J, Luther S, Dodd V, et al. . Measurement variation across health literacy assessments: implications for assessment selection in research and practice. J Health Commun 2012;17 Suppl 3:141–59. 10.1080/10810730.2012.712615
    1. Norman CD, Skinner HA. eHEALS: the eHealth literacy scale. J Med Internet Res 2006;8:e27. 10.2196/jmir.8.4.e27
    1. Shea JA, Micco E, Dean LT, et al. . Development of a revised health care system distrust scale. J Gen Intern Med 2008;23:727–32. 10.1007/s11606-008-0575-3
    1. Degner LF, Sloan JA, Venkatesh P. The control preferences scale. Can J Nurs Res 1997;29:21–43.
    1. Braun V, Clarke V. Using thematic analysis in psychology. Qual Res Psychol 2006;3:77–101. 10.1191/1478088706qp063oa
    1. Morse JM. Approaches to qualitative-quantitative methodological triangulation. Nurs Res 1991;40:120–123. 10.1097/00006199-199103000-00014
    1. Sandelowski M. Rigor or rigor mortis: the problem of rigor in qualitative research revisited. ANS Adv Nurs Sci 1993;16:1–8. 10.1097/00012272-199312000-00002

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