Abstract
Family health history (FHH) screening plays a key role in disease risk identification and tailored disease prevention strategies. Primary care physicians (PCPs) are in a frontline position to provide personalized medicine recommendations identified through FHH screening; however, adoption of FHH screening tools has been slow and inconsistent in practice. Information is also lacking on PCP facilitators and barriers of utilizing family history tools with clinical decision support (CDS) embedded in the electronic health record (EHR). This study reports on PCPs’ initial experiences with the Genetic and Wellness Assessment (GWA), a patient-administered FHH screening tool utilizing the EHR and CDS. Semi-structured interviews were conducted with 24 PCPs who use the GWA in a network of community-based practices. Four main themes regarding GWA implementation emerged: benefits to clinical care, challenges in practice, CDS-specific issues, and physician-recommended improvements. Sub-themes included value in improving patient access to genetic services, inadequate time to discuss GWA recommendations, lack of patient follow-through with recommendations, and alert fatigue. While PCPs valued the GWA’s clinical utility, a number of challenges were identified in the administration and use of the GWA in practice. Based on participants’ recommendations, iterative changes have been made to the GWA and workflow to increase efficiency, upgrade the CDS process, and provide additional education to PCPs and patients. Future studies are needed to assess a diverse sample of physicians’ and patients’ perspectives on the utility of FHH screening utilizing EHR-based genomics recommendations.
Similar content being viewed by others
References
Allen C, Duquette D, Guan Y, McBride C (2019) Applying theory to characterize impediments to dissemination of community-facing family health history tools: a review of the literature. J Community Genet:1–13. https://doi.org/10.1007/s12687-019-00424-9
Ancker J, Edwards A, Nosal S, Hauser D, Mauer E, Kaushal R, with the HITEC Investigators (2017) Effects of workload, work complexity, and repeated alerts on alert fatigue in a clinical decision support system. BMC Med Inform Decis Mak 17(1). https://doi.org/10.1186/s12911-017-0430-8
Arndt B, Beasley J, Watkinson M, Temte J, Tuan W, Sinsky C, Gilchrist V (2017) Tethered to the EHR: primary care physician workload assessment using EHR event log data and time-motion observations. Ann Fam Med 15(50):419–426. https://doi.org/10.1370/afm.2121
Atlas.ti (2018). Atlas.ti qualitative data analysis. https://atlasti.com/. Accessed 29 2020
Baer H, Schneider L, Graham C et al (2013) Use of a web-based risk appraisal for assembling family history and life style factor in primary care. J Gen Intern Med 28(6):817–824. https://doi.org/10.1007/s11606-013-2338-z
Carroll J, Makuwaza T, Manca D, Sopcak N, Permaul JA, O’Brien MA, Heisey R, Eisenhauer EA, Easley J, Krzyzanowska MK, Miedema B, Pruthi S, Sawka C, Schneider N, Sussman J, Urquhart R, Versaevel C, Grunfeld E (2016) Primary care providers’ experiences with and perceptions of personalized genomic medicine. Can Fam Physician 62:e626–e635
Cash J (2009) Alert fatigue. Am J Health-Syst Ph 66(23):2098–2101. https://doi.org/10.2146/ajhp090181
Castaneda C, Nalley K, Mannion C, Bhattacharyya P, Blake P, Pecora A, Goy A, Suh S (2015) Clinical decision support systems for improving diagnostic accuracy and achieving precision medicine. J Clin Bioinformat 5:4. https://doi.org/10.1186/s13336-015-0019-3
Chase D, Baron S, Ash J (2017) Clinical decision support and primary care acceptance of genomic medicine. Stud Health Technol Inform 245:700–703. https://doi.org/10.3233/978-1-61499-830-3-700
Cohn W, Ropka M, Pelletier S et al (2010) Health heritage©, a web-based tool for the collection and assessment of family health history: initial user experience and analytic validity. Public Health Genom 13:477–491. https://doi.org/10.1159/000294415
Delikurt T, Williamson G, Anastasiadou V, Skirton H (2015) A systematic review of factors that act as barriers to patient referral to genetic services. Eur J Hum Genet 23:739–745. https://doi.org/10.1038/ejhg.2014.180
Doerr M, Edelman E, Gabitzsch E, Eng C, Teng K (2014) Formative evaluation of clinician experience with integrating family history-based clinical decision support into clinical practice. J Pers Med 4:115–136. https://doi.org/10.3390/jpm4020115
Edelman E, Lin B, Doksum T, Drohan B, Edelson V, Dolan SM, Hughes K, O’Leary J, Vasquez L, Copeland S, Galvin SL, DeGroat N, Pardanani S, Gregory Feero W, Adams C, Jones R, Scott J (2014) Evaluation of a novel electronic genetic screening and clinical decision support tool in prenatal clinical settings. Matern Child Health J 18:1233–1245. https://doi.org/10.1007/s10995-013-1358-y
Facio F, Feero G, Linn A, Oden N, Manickam K, Biesecker L (2010) Validation of my family health portrait for six common heritable conditions. Genet Med 12(6):370–375. https://doi.org/10.1097/GIM.0b013e3181e15bd5
Geer K, Ropka M, Cohn W, Jones S, Miesfeldt S (2001) Factors influencing patients’ decisions to decline cancer genetic counseling services. J Genet Couns 10(1):25–40
Ginsburg G, Wu R, Orlando L (2019) Family health history: underused for actionable risk assessment. Lancet. https://doi.org/10.1016/S0140-6736(19)31275-9
Gregory M, Russo E, Singh H (2017) Electronic health record alert-related workload as a predictor of burnout in primary care providers. Appl Clin Inform 8:686–697. https://doi.org/10.4338/ACI-2017-01-RA-0003
Hamilton J, Abdiwahab E, Edwards H, Fang M, Jdayani A, Breslau E (2016) Primary care providers’ cancer genetic testing-related knowledge, attitudes, and communication behaviors: a systematic review and research agenda. J Gen Intern Med 32(3):315–324. https://doi.org/10.1007/s11606-016-3943-4
Harding B, Webber C, Ruhland L, Dalgarno N, Armour CM, Birtwhistle R, Brown G, Carroll JC, Flavin M, Phillips S, MacKenzie JJ (2019) Primary care providers’ lived experiences of genetics in practice. J Community Genet 10:85–93. https://doi.org/10.1007/s12687-018-0364-6
Hsieh H, Shannon S (2005) Three approaches to qualitative content analysis. Qual Health Res 15(9):1277–1288. https://doi.org/10.1177/1049732305276697
Hulse N, Ranade-Kharkar P, Post H, Wood G, Williams M, Haug P (2011) Development and early usage patterns of a consumer-facing family health history tool. AMIA Annu Symp Proc 2011:578–587
Kne A, Zierhut H, Baldinger S, Swenson K, Mink P, McCarthy Veach P, Tsai M (2017) Why is cancer genetic counseling underutilized by women identified as at risk for hereditary breast cancer? Patient perceptions of barriers following a referral letter. J Genet Couns 26:697–715. https://doi.org/10.1007/s10897-016-0040-0
Lemke A, Dunnenberger H, Thompson J, Dilzell-Yu K, Newlin A, Hughes K, Purcell S, Kaplan E, Matsil A, Johnson C, Hulick, P (2019) Pre-emptive hereditary cancer genetic testing in primary care: leveraging early program data for process improvement. (Abstract # 647T). Presented at the Annual Meeting of the American Society of Human Genetics, October 15–19, 2019, Houston, Texas
Lerner B, Marshall N, Oishi S, Lanto A, Lee M, Hamilton AB, Yano EM, Scheuner MT (2016) The value of genetic testing: beyond clinical utility. Genet Med 19(7):763–771. https://doi.org/10.1038/gim.2016.186
Lizner M, Manwell LB, Williams ES, Bobula JA, Brown RL, Varkey AB, Man B, McMurray JE, Maguire A, Horner-Ibler B, Schwartz MD (2009) Working conditions in primary care: physician reactions and care quality. Ann Intern Med 151:28–36
McCoy A, Thomas E, Krousel-Wood M, Sittig D (2014) Clinical decision support alert appropriateness: a review and proposal for improvement. Ochsner J 14(2):195–202
Nanji K, Slight S, Seger D, Cho I, Fiskio J, Redden L, Volk L, Bates D (2014) Overrides of medication-related clinical decision support alerts in outpatients. J Am Med Inform Assoc 21:487–491. https://doi.org/10.1136/amiajnl-2013-001813
Nanji K, Seger D, Slight S et al (2018) Medication-related clinical decision support alert overrides in inpatients. J Am Med Inform Assoc 25(5):476–481. https://doi.org/10.1093/jamia/ocx115
O’Neil S, Rubinstein WC et al (2009) Familial risk for common diseases in primary care the Family Healthware™ Impact Trial. Am J Prev Med 36(6):506–514
Orlando L, Buchanan A, Hahn S, Christianson CA, Powell KP, Skinner CS, Chesnut B, Blach C, Due B, Ginsburg GS, Henrich VC (2013) Development and validation of a primary care-based family health history and decision support program (MeTree). N C Med J 74(4):287–296
Orlando L, Wu R, Beadles C, Himmel T, Buchanan A, Powell K, Hauser E, Henrich V, Ginsburg G (2014) Implementing family health history risk stratification in primary care: impact of guideline criteria on populations and resource demand. Am J Med Genet C: Semin Med Genet 166C:24–33
Orlando L, Wu R, Myers R, Buchanan A, Henrich V, Hauser E, Ginsburg G (2016) Clinical utility of a Web-enabled risk-assessment and clinical decision support program. Genet Med 18(10):1020–1028. https://doi.org/10.1038/gim.2015.210
Osheroff J, Teich J, Middleton B, Steen E, Wright A, Detmer D (2007) A roadmap for national action on clinical decision support. J Am Med Inform Assoc 14:141–145. https://doi.org/10.1197/jamia.M2334
Owusu Obeng A, Fei K, Levy K, Elsey A, Pollin T, Ramirez A, Weitzel K, Horowitz C (2018) Physician-reported benefits and barriers to clinical implementation of genomic medicine: a multi-site ignite-network survey. J Pers Med 8(3). https://doi.org/10.3390/jpm8030024
Ozanne E, Loberg A, Hughes S et al (2009) Identification and management of women at high risk for hereditary breast/ovarian cancer syndrome. Breast J 15(2):155–162
Rubinstein W, Acheson L, O’Neil S et al (2011) Clinical utility of family history for cancer screening and referral in primary care: a report from the Family Healthware Impact Trial. Genet Med 13(11):956–965. https://doi.org/10.1097/GIM.0B013e3182241d88
Scheuner M, Hamilton A, Peredo J et al (2013) A cancer genetics toolkit improves access to genetic services through documentation and use of the family history by primary-care clinicians. Genet Med 16(1):60–69. https://doi.org/10.1038/gim.2013.75
Starks H, Trinidad S (2007) Choose your method: a comparison of phenomenology, discourse analysis, and grounded theory. Qual Health Res 17(10):1372–1380
Strauss A, Corbin J (1998) Basics of qualitative research: techniques and procedures for developing grounded theory. Sage Publications, Inc, Thousand Oaks
Welch B, Kawamoto K (2013) Clinical decision support for genetically personalized medicine: a systematic review. J Am Med Inform Assoc 20:388–400. https://doi.org/10.1136/amianjnl-2012-000892
Welch B, Wiley K, Pflieger L, Achiangia R, Baker K, Hughes-Halbert C, Morrison H, Schiffman J, Doerr M (2018) Review and comparison of electronic patient-facing family health history tools. J Genet Couns 27:381–391. https://doi.org/10.1007/s10897-018-0235-7
Willis G (2005) Cognitive interviewing: a tool for improving questionnaire design. Sage Publications, Inc., London
Wu R, Orlando L (2015) Implementation of health risk assessments with family health history: barriers and benefits. Postgrad Med J 91(1079):508–513. https://doi.org/10.1136/postgradmedj-2014-133195
Wu R, Myers R, Sperber N et al (2018) Implementation, adoption, and utility of family health risk assessment in diverse care settings: evaluating implementation processes and impact with an implementation framework. Genet Med. https://doi.org/10.1038/s41436-019-0049-x
Acknowledgments
The authors acknowledge the contributions of the NorthShore Epic Optimization Team, in particular Darryck Maurer, for work on GWA development, implementation, and incorporation of suggested changes into the electronic version of the GWA. We especially thank the primary care physicians who took time out of their busy practices to participate in this study.
Author information
Authors and Affiliations
Corresponding author
Ethics declarations
Conflict of interest
Henry M. Dunnenberger has received consulting payments from Veritas. Amy A. Lemke, Jennifer Thompson, Peter J. Hulick, Annette W. Sereika, Christian Johnson, and Lauren Oshman declare that they have no conflict of interest.
Ethical approval
All procedures performed in studies involving human participants were in accordance with the ethical standards of the institutional and with the 1964 Helsinki declaration and its later amendments or comparable ethical standards. This article does not contain any studies with animals performed by any of the authors.
Informed consent
Informed consent was obtained from all individual participants included in the study.
Additional information
Publisher’s note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Electronic supplementary material
ESM 1
(DOCX 20 kb)
Rights and permissions
About this article
Cite this article
Lemke, A.A., Thompson, J., Hulick, P.J. et al. Primary care physician experiences utilizing a family health history tool with electronic health record–integrated clinical decision support: an implementation process assessment. J Community Genet 11, 339–350 (2020). https://doi.org/10.1007/s12687-020-00454-8
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s12687-020-00454-8