Appl Clin Inform 2024; 15(02): 282-294
DOI: 10.1055/s-0044-1782619
Research Article

Provider Perceptions of an Electronic Health Record Prostate Cancer Screening Tool

Sigrid V. Carlsson
1   Urology Service, Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, New York, United States
2   Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, New York, United States
3   Department of Urology, Institute of Clinical Sciences, Sahlgrenska Academy at University of Gothenburg, Gothenburg, Sweden
4   Division of Urological Cancers, Department of Translational Medicine, Medical Faculty, Lund University, Lund, Sweden
,
Mark Preston
5   Division of Urological Surgery, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, United States
,
Andrew Vickers
2   Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, New York, United States
,
Deepak Malhotra
6   Organizations, and Markets Unit, Harvard Business School, Boston, Massachusetts, United States
,
Behfar Ehdaie
1   Urology Service, Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, New York, United States
,
Michael Healey
7   Brigham and Women's Hospital Primary Care, Brigham and Women's Hospital, Boston, Massachusetts, United States
8   Division of General Internal Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, United States
,
Adam S. Kibel
5   Division of Urological Surgery, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, United States
› Author Affiliations
Funding This project was supported by the Prevent Cancer Foundation. Work done by S.V.C., B.E., and A.V. was supported in part through a National Institutes of Health/National Cancer Institute Cancer Center Support Grant (P30-CA008748) to Memorial Sloan Kettering Cancer Center. S.V.C. was further supported by a National Institutes of Health/National Cancer Institute Transition Career Development Award (K22-CA234400). A.S.K. is supported by the DiNovi Family Fund.

Abstract

Objectives We conducted a focus group to assess the attitudes of primary care physicians (PCPs) toward prostate-specific antigen (PSA)-screening algorithms, perceptions of using decision support tools, and features that would make such tools feasible to implement.

Methods A multidisciplinary team (primary care, urology, behavioral sciences, bioinformatics) developed the decision support tool that was presented to a focus group of 10 PCPs who also filled out a survey. Notes and audio-recorded transcripts were analyzed using Thematic Content Analysis.

Results The survey showed that PCPs followed different guidelines. In total, 7/10 PCPs agreed that engaging in shared decision-making about PSA screening was burdensome. The majority (9/10) had never used a decision aid for PSA screening. Although 70% of PCPs felt confident about their ability to discuss PSA screening, 90% still felt a need for a provider-facing platform to assist in these discussions. Three major themes emerged: (1) confirmatory reactions regarding the importance, innovation, and unmet need for a decision support tool embedded in the electronic health record; (2) issues around implementation and application of the tool in clinic workflow and PCPs' own clinical bias; and (3) attitudes/reflections regarding discrepant recommendations from various guideline groups that cause confusion.

Conclusion There was overwhelmingly positive support for the need for a provider-facing decision support tool to assist with PSA-screening decisions in the primary care setting. PCPs appreciated that the tool would allow flexibility for clinical judgment and documentation of shared decision-making. Incorporation of suggestions from this focus group into a second version of the tool will be used in subsequent pilot testing.

Protection of Human and Animal Subjects

The study was performed in compliance with the World Medical Association Declaration of Helsinki on Ethical Principles for Medical Research Involving Human Subjects and was approved by the institutional review board at both BWH and MSK.


Note

S.V.C. has received travel reimbursement and speaker honorarium from Ipsen and has served on an advisory board for Prostatype Genomics, unrelated to this study.


Disclaimer

The funding agencies had no role in study design, data collection, data analysis, data interpretation, writing of the report, or the decision to submit it for publication. The content is solely the responsibility of the authors.


Supplementary Material



Publication History

Received: 12 September 2023

Accepted: 12 February 2024

Article published online:
10 April 2024

© 2024. Thieme. All rights reserved.

Georg Thieme Verlag KG
Rüdigerstraße 14, 70469 Stuttgart, Germany

 
  • References

  • 1 Grossman DC, Curry SJ, Owens DK. et al; US Preventive Services Task Force. Screening for prostate cancer: US Preventive Services Task Force recommendation statement. JAMA 2018; 319 (18) 1901-1913
  • 2 Wei JT, Barocas D, Carlsson S. et al. Early Detection of Prostate Cancer: AUA/SUO Guideline Part I: Prostate Cancer Screening. J Urol 2023; Jul; 210 (01) 46-53
  • 3 EAU Guidelines. Edn. presented at the EAU Annual Congress Milan 2023. ISBN 978-94-92671-19-6. Available at: https://uroweb.org/eau-guidelines Date accessed March 18, 2024
  • 4 Makarov DV, Fagerlin A, Finkelstein J, Forcino R, Gore JL, Henning G. Implementation of shared decision making into urological practice. American Urological Association. Accessed February 25, 2024 at: https://www.auanet.org/guidelines/guidelines/shared-decision-making
  • 5 Tasian GE, Cooperberg MR, Cowan JE. et al. Prostate specific antigen screening for prostate cancer: knowledge of, attitudes towards, and utilization among primary care physicians. Urol Oncol 2012; 30 (02) 155-160
  • 6 Fleshner K, Carlsson SV. The USPSTF screening recommendation: a swinging pendulum. Nat Rev Urol 2018; 15 (09) 532-534
  • 7 National Comprehensive Cancer Center (NCCN). Clinical Practice Guidelines in Oncology: Prostate Cancer Early Detection, Version 2.2018. Updated April 5, 2018. Accessed February 25, 2024 at: https://www.nccn.org/professionals/physician_gls/pdf/prostate_detection.pdf
  • 8 Joseph-Williams N, Newcombe R, Politi M. et al. Toward minimum standards for certifying patient decision aids: a modified delphi consensus process. Med Decis Making 2014; 34 (06) 699-710
  • 9 Carlsson SV, Vickers AJ, Gonsky JP, Hay JL, Hu JC. Problems with numbers in decision aids for prostate-specific antigen screening: a critical review. Eur Urol 2021; 79 (03) 330-333
  • 10 Vickers AJ, Edwards K, Cooperberg MR, Mushlin AI. A simple schema for informed decision making about prostate cancer screening. Ann Intern Med 2014; 161 (06) 441-442
  • 11 Volk RJ, Linder SK, Kallen MA. et al. Primary care physicians' use of an informed decision-making process for prostate cancer screening. Ann Fam Med 2013; 11 (01) 67-74
  • 12 Prior M, Guerin M, Grimmer-Somers K. The effectiveness of clinical guideline implementation strategies–a synthesis of systematic review findings. J Eval Clin Pract 2008; 14 (05) 888-897
  • 13 Grimshaw J, Eccles M, Thomas R. et al. Toward evidence-based quality improvement. Evidence (and its limitations) of the effectiveness of guideline dissemination and implementation strategies 1966-1998. J Gen Intern Med 2006; 21 (Suppl 2, Suppl 2): S14-S20
  • 14 Malhotra D. Negotiating the Impossible: How to Break Deadlocks and Resolve Ugly Conflicts (without Money or Muscle). Oakland, CA: Berrett-Koehler Publishers, Inc; 2016
  • 15 Ehdaie B, Assel M, Benfante N, Malhotra D, Vickers A. A systematic approach to discussing active surveillance with patients with low-risk prostate cancer. Eur Urol 2017; 71 (06) 866-871
  • 16 McNeil BJ, Pauker SG, Sox Jr HC, Tversky A. On the elicitation of preferences for alternative therapies. N Engl J Med 1982; 306 (21) 1259-1262
  • 17 Kalichman SC, Coley B. Context framing to enhance HIV-antibody-testing messages targeted to African American women. Health Psychol 1995; 14 (03) 247-254
  • 18 Tversky A, Kahneman D. The framing of decisions and the psychology of choice. Science 1981; 211 (4481) 453-458
  • 19 Cialdini RB, Goldstein NJ. Social influence: compliance and conformity. Annu Rev Psychol 2004; 55: 591-621
  • 20 Kahneman D, Tversky A. Prospect theory: an analysis of decision under risk. Econometrica 1979; 47 (02) 263
  • 21 O'Connor SD, Sodickson AD, Ip IK. et al. Journal club: requiring clinical justification to override repeat imaging decision support: impact on CT use. AJR Am J Roentgenol 2014; 203 (05) W482-90
  • 22 Liamputtong P. Focus Group Methodology: Principle and Practice. Thousand Oaks, CA: SAGE Publications Ltd; 2011
  • 23 Miles M, Huberman A, Saldana J. Qualitative Data Analysis: A Methods Sourcebook. 3rd ed.. Thousand Oaks, CA: Sage Publications, Inc; 2014
  • 24 Halpern JA, Oromendia C, Shoag JE. et al. Use of digital rectal examination as an adjunct to prostate specific antigen in the detection of clinically significant prostate cancer. J Urol 2018; 199 (04) 947-953
  • 25 Matsukawa A, Yanagisawa T, Bekku K. et al. Comparing the Performance of Digital Rectal Examination and Prostate-specific Antigen as a Screening Test for Prostate Cancer: A Systematic Review and Meta-analysis. Eur Urol Oncol 2024 Jan 4:S2588-9311(23):00292-4
  • 26 Shelton JB, Ochotorena L, Bennett C. et al. Reducing PSA-based prostate cancer screening in men aged 75 years and older with the use of highly specific computerized clinical decision support. J Gen Intern Med 2015; 30 (08) 1133-1139
  • 27 Presti Jr J, Alexeeff S, Horton B, Prausnitz S, Avins AL. Changing provider PSA screening behavior using best practice advisories: Interventional study in a multispecialty group practice. J Gen Intern Med 2020; 35 (Suppl. 02) 796-801
  • 28 Brunner J, Chuang E, Goldzweig C, Cain CL, Sugar C, Yano EM. User-centered design to improve clinical decision support in primary care. Int J Med Inform 2017; 104: 56-64
  • 29 Chang TS, Buchipudi A, Fonarow GC, Pfeffer MA, Singer JS, Cheng EM. Physicians voluntarily using an EHR-based CDS tool improved patients' guideline-related statin prescription rates: a retrospective cohort study. Appl Clin Inform 2019; 10 (03) 421-445
  • 30 Chima S, Reece JC, Milley K, Milton S, McIntosh JG, Emery JD. Decision support tools to improve cancer diagnostic decision making in primary care: a systematic review. Br J Gen Pract 2019; 69 (689) e809-e818
  • 31 Harry ML, Truitt AR, Saman DM. et al. Barriers and facilitators to implementing cancer prevention clinical decision support in primary care: a qualitative study. BMC Health Serv Res 2019; 19 (01) 534
  • 32 Kelsey EA, Njeru JW, Chaudhry R, Fischer KM, Schroeder DR, Croghan IT. Understanding user acceptance of clinical decision support systems to promote increased cancer screening rates in a primary care practice. J Prim Care Community Health 2020; 11: 21 50132720958832
  • 33 Shah A, Polascik TJ, George DJ. et al. Implementation and impact of a risk-stratified prostate cancer screening algorithm as a clinical decision support tool in a primary care network. J Gen Intern Med 2021; 36 (01) 92-99
  • 34 Tamposis I, Tsougos I, Karatzas A, Vassiou K, Vlychou M, Tzortzis V. PCaGuard: a software platform to support optimal management of prostate cancer. Appl Clin Inform 2022; 13 (01) 91-99