Primary care clinicians' opinions before and after implementation of cancer screening and prevention clinical decision support in a clinic cluster-randomized control trial: a survey research study

Melissa L Harry, Ella A Chrenka, Laura A Freitag, Daniel M Saman, Clayton I Allen, Stephen E Asche, Anjali R Truitt, Heidi L Ekstrom, Patrick J O'Connor, Jo Ann M Sperl-Hillen, Jeanette Y Ziegenfuss, Thomas E Elliott, Melissa L Harry, Ella A Chrenka, Laura A Freitag, Daniel M Saman, Clayton I Allen, Stephen E Asche, Anjali R Truitt, Heidi L Ekstrom, Patrick J O'Connor, Jo Ann M Sperl-Hillen, Jeanette Y Ziegenfuss, Thomas E Elliott

Abstract

Background: Electronic health record (EHR)-linked clinical decision support (CDS) may impact primary care clinicians' (PCCs') clinical care opinions. As part of a clinic cluster-randomized control trial (RCT) testing a cancer prevention and screening CDS system with patient and PCC printouts (with or without shared decision-making tools [SDMT]) for patients due for breast, cervical, colorectal, and lung cancer screening and/or human papillomavirus (HPV) vaccination compared to usual care (UC), we surveyed PCCs at study clinics pre- and post-CDS implementation. Our primary aim was to learn if PCCs' opinions changed over time within study arms. Secondary aims including examining whether PCCs' opinions in study arms differed both pre- and post-implementation, and gauging PCCs' opinions on the CDS in the two intervention arms.

Methods: This study was conducted within a healthcare system serving an upper Midwestern population. We administered pre-implementation (11/2/2017-1/24/2018) and post-implementation (2/2/2020-4/9/2020) cross-sectional electronic surveys to PCCs practicing within a RCT arm: UC; CDS; or CDS + SDMT. Bivariate analyses compared responses between study arms at both time periods and longitudinally within study arms.

Results: Pre-implementation (53%, n = 166) and post-implementation (57%, n = 172) response rates were similar. No significant differences in PCC responses were seen between study arms on cancer prevention and screening questions pre-implementation, with few significant differences found between study arms post-implementation. However, significantly fewer intervention arm clinic PCCs reported being very comfortable with discussing breast cancer screening options with patients compared to UC post-implementation, as well as compared to the same intervention arms pre-implementation. Other significant differences were noted within arms longitudinally. For intervention arms, these differences related to CDS areas like EHR alerts, risk calculators, and ordering screening. Most intervention arm PCCs noted the CDS provided overdue screening alerts to which they were unaware. Few PCCs reported using the CDS, but most would recommend it to colleagues, expressed high CDS satisfaction rates, and thought patients liked the CDS's information and utility.

Conclusions: While appreciated by PCCs with high satisfaction rates, the CDS may lower PCCs' confidence regarding discussing patients' breast cancer screening options and may be used irregularly. Future research will evaluate the impact of the CDS on cancer prevention and screening rates.

Trial registration: clinicaltrials.gov , NCT02986230, December 6, 2016.

Keywords: Cancer prevention; Cancer screening; Clinical decision support; Electronic health record; Primary care provide.

Conflict of interest statement

The authors declare that they have no competing interests.

© 2022. The Author(s).

References

    1. Harry ML, Truitt AR, Saman DM, Henzler-Buckingham HA, Allen CI, Walton KM, et al. Barriers and facilitators to implementing cancer prevention clinical decision support in primary care: a qualitative study. BMC Health Serv Res. 2019;19:534. doi: 10.1186/s12913-019-4326-4.
    1. Harry ML, Saman DM, Truitt AR, Allen CI, Walton KM, O’Connor PJ, et al. Pre-implementation adaptation of primary care cancer prevention clinical decision support in a predominantly rural healthcare system. BMC Med Inform Decis Mak. 2020;20(1):117. doi: 10.1186/s12911-020-01136-8.
    1. Kwon HT, Ma GX, Gold RS, Atkinson NL, Wang MQ. Primary care physicians’ cancer screening recommendation practices and perceptions of cancer risk of Asian Americans. Asian Pac J Cancer Prev. 2013;14:1999–2004. doi: 10.7314/APJCP.2013.14.3.1999.
    1. Saman DM, Walton KM, Harry ML, Asche S, Truitt A, Henzler-Buckingham H, et al. Understanding primary care providers’ perceptions of cancer prevention and screening in a predominantly rural healthcare system in the upper Midwest. BMC Health Serv Res. 2019;19:1019. doi: 10.1186/s12913-019-4872-9.
    1. Samimi G, Heckman-Stoddard BM, Holmberg C, Tennant B, Sheppard BB, Coa KI, et al. Cancer prevention in primary care: perception of importance, recognition of risk factors and prescribing behaviors. Am J Med. 2020;133(6):723–732. doi: 10.1016/j.amjmed.2019.11.017.
    1. Saman DM, Harry ML, Freitag LA, Allen CI, O’Connor PJ, Sperl-Hillen JM, et al. Patient perceptions of using clinical decision support for cancer screening and prevention: “I wouldn’t have thought about getting screened without it”. J Patient Cent Res Rev. In press.
    1. Saman DM, Chrenka EA, Harry ML, Allen CI, Freitag LA, Asche SE, et al. The impact of personalized clinical decision support on primary care patients’ views of cancer prevention and screening: a cross-sectional survey. BMC Health Serv Res. 2021;21:592. doi: 10.1186/s12913-021-06551-9.
    1. Elliott TE, O’Connor PJ, Asche SE, Saman DM, Dehmer SP, Ekstrom HL, et al. Design and rationale of an intervention to improve cancer prevention using clinical decision support and shared decision making: a clinic-randomized trial. Contemp Clin Trials. 2021;102:106271. doi: 10.1016/j.cct.2021.106271.
    1. Harry ML, Saman DM, Allen CI, Ohnsorg KA, Sperl-Hillen JM, O’Connor PJ, et al. Understanding primary care provider attitudes and behaviors regarding cardiovascular disease risk and diabetes prevention in the northern Midwest. Clin Diabetes. 2018;36(4):283–294. doi: 10.2337/cd17-0116.
    1. Konrad TR, Link CL, Shackelton RJ, Marceau LD, von dem Knesebeck O, Siegrist J, et al. It’s about time: physicians’ perceptions of time constraints in primary care medical practice in three national healthcare systems. Med Care. 2010;48:95–100. doi: 10.1097/MLR.0b013e3181c12e6a.
    1. Yarnall K, Pollak K, Østbye T, Krause KM, Michener JL. Primary care: is there enough time for prevention? Am J Public Health. 2003;93:635–641. doi: 10.2105/AJPH.93.4.635.
    1. Bright TJ, Wong A, Dhurjati R, Bristow E, Bastian L, Coeytaux RR, et al. Effect of clinical decision-support systems: a systematic review. Ann Intern Med. 2012;157(1):29–43. doi: 10.7326/0003-4819-157-1-201207030-00450.
    1. Sutton RT, Pincock D, Baumgart DC, Sadowski DC, Fedorak RN, Kroeker KI. An overview of clinical decision support systems: benefits, risks, and strategies for success. npj Digit Med. 2020;3:17. 10.1038/s41746-020-0221-y.
    1. Osheroff J, Teich J, Levick D, Saldana L, Velasco F, Sittig D, et al. Improving outcomes with clinical decision support: an implementer’s guide. 2. Chicago: IL:HIMSS publishing; 2012.
    1. Sperl-Hillen JM, Rossom RC, Kharbanda EI, Gold R, Geissal ED, Elliot TE, et al. Priority wizard: multisite web-based primary care clinical decision support improved chronic care outcomes with high use rates and high clinician satisfaction rates. eGEMs. 2019;7(1):9. doi: 10.5334/egems.284.
    1. O’Connor PJ, Sperl-Hillen JM, Rush WA, Johnson PE, Amundson GH, Asche SE, et al. Impact of electronic health record clinical decision support on diabetes care: a randomized trial. Ann Fam Med. 2011;9:12–21. doi: 10.1370/afm.1196.
    1. Sperl-Hillen JM, Crain AL, Ekstrom HL, Margolis K. A clinical decision support system promotes shared decision-making and cardiovascular risk factor management. J Patient Cent Res Rev. 2016;3:218. doi: 10.17294/2330-0698.1383.
    1. Sperl-Hillen JM, Crain AL, Margolis KL, Ekstrom HL, Appana D, Amundson G, et al. Clinical decision support directed to primary care patients and providers reduces cardiovascular risk: a randomized trial. J Am Med Inform Assoc. 2018;25:1137–1146. doi: 10.1093/jamia/ocy085.
    1. U.S. Preventive Services Task Force. Final recommendation statement: Breast cancer: Screening. 2016. . Accessed 9 Aug 2021.
    1. U.S. Preventive Services Task Force. Final recommendation statement. Cervical cancer: screening. 2018. . Accessed 9 Aug 2021.
    1. US Preventive Services Task Force, Bibbins-Domingo K, Grossman DC, Curry SJ, Davidson KW, Epling JW Jr, et al. Screening for colorectal cancer: US Preventive Services Task Force Recommendation Statement. JAMA. 2016;315(23):2564–2575. doi: 10.1001/jama.2016.5989. Erratum in: JAMA. 2016;316(5):545. Erratum in: JAMA. 2017;317(21):2239.
    1. Moyer VA. US preventive services task force. Screening for lung cancer: U.S. preventive services task force recommendation statement. Ann Intern Med. 2014;160(5):330–338. doi: 10.7326/M13-2771.
    1. Meites E, Kempe A, Markowitz LE. Use of a 2-dose schedule for human papillomavirus vaccination — updated recommendations of the advisory committee on immunization practices. MMWR Morb Mortal Wkly Rep. 2016;65:1405–1408. doi: 10.15585/mmwr.mm6549a5.
    1. Wagner EH. Chronic disease management: what will it take to improve care for chronic illness? Eff Clin Pract. 1998;1:2–4.
    1. Bodenheimer T, Wagner E, Grumbach K. Improving primary care for patients with chronic illness: the chronic care model. JAMA. 2002;288:1775–1779. doi: 10.1001/jama.288.14.1775.
    1. Bodenheimer T, Wagner EH, Grumbach K. Improving primary care for patients with chronic illness. JAMA. 2002;288(14):1775–1779. doi: 10.1001/jama.288.14.1775.
    1. Brooke J. SUS: a ‘quick and dirty’ usability scale. In: Jordan PW, Thomas B, Weerdmeester BA, McClelland AL, editors. Usability evaluation in industry. London: Taylor and Francis; 1996.
    1. National Cancer Institute. National survey of primary care physicians’ recommendations & practice for breast, cervical, colorectal, & lung cancer screening; 2018. . Accessed 9 Aug 2021.
    1. Harris PA, Taylor R, Thielke R, Payne J, Gonzalez N, Conde JG. Research electronic data capture (REDCap) -- a metadata-driven methodology and workflow process for providing translational research informatics support. J Biomed Inform. 2009;42(2):377–381. doi: 10.1016/j.jbi.2008.08.010.
    1. Harris PA, Taylor R, Minor BL, Elliott V, Fernandez M, O’Neal L, et al. REDCap consortium, the REDCap consortium: building an international community of software partners. J Biomed Inform. 2019. 10.1016/j.jbi.2019.103208.
    1. SAS Institute Inc. SAS® software, Version 9.4. 2015. Cary, NC.
    1. SAS Institute Inc. SAS Enterprise Guide vs 8.1.1.4580 . Cary, NC. 2019.
    1. 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;11:2150132720958832. doi: 10.1177/2150132720958832.
    1. Dixon BE, Kasting ML, Wilson S, Kulkarni A, Zimet GD, Downs SM. Health care providers’ perceptions of use and influence of clinical decision support reminders: qualitative study following a randomized trial to improve HPV vaccination rates. BMC Med Inform Decis Mak. 2017;17:119. doi: 10.1186/s12911-017-0521-6.
    1. Marc DT, Khairat SS. Why do physicians have difficulty accepting clinical decision support systems? Stud Health Technol Inform. 2013;192:1202.
    1. Bates DW, Kuperman GJ, Wang S, Gandhi T, Kittler A, Volk L, et al. Ten commandments for effective clinical decision support: making the practice of evidence-based medicine a reality. JAMIA. 2003;10(6):523–530.
    1. Van de Velde S, Kunnamo I, Roshanov P, Kortteisto T, Aertgeerts B, Vandvik PO, et al. The GUIDES checklist: development of a tool to improve the successful use of guideline-based computerized clinical decision support. Implement Sci. 2018;13:86. doi: 10.1186/s13012-018-0772-3.
    1. Monticciolo DL, Newell MS, Moy L, Niell B, Monsees B, Sickles EA. Breast cancer screening in women at higher-than-average risk: recommendations from the ACR. J Am Coll Radiol. 2018;15(3 Pt A):408–414. 10.1016/j.jacr.2017.11.034.
    1. Monticciolo DL, Newell MS, Hendrick RE, Helvie MA, Moy L, Monsees B, et al. Breast cancer screening for average-risk women: recommendations from the ACR Commission on breast imaging. J Am Coll Radiol. 2017;14(9):1137–1143. doi: 10.1016/j.jacr.2017.06.001.
    1. National Cancer Institute. Breast Cancer Risk Assessment Tool. National Cancer Institute website. . Accessed 9 Aug 2021.
    1. Skinner L, Staiger DO, Auerbach DI, Buerhaus PI. Implications of an aging rural physician workforce. N Engl J Med. 2019;381:299–301. doi: 10.1056/NEJMp1900808.
    1. Weinhold I, Gurtner S. Understanding shortages of sufficient health care in rural areas. Health Policy. 2014;118:201–214. doi: 10.1016/j.healthpol.2014.07.018.

Source: PubMed

3
Abonnieren