Evaluating alert fatigue over time to EHR-based clinical trial alerts: findings from a randomized controlled study
- PMID: 22534081
- PMCID: PMC3392862
- DOI: 10.1136/amiajnl-2011-000743
Evaluating alert fatigue over time to EHR-based clinical trial alerts: findings from a randomized controlled study
Abstract
Objective: Inadequate participant recruitment is a major problem facing clinical research. Recent studies have demonstrated that electronic health record (EHR)-based, point-of-care, clinical trial alerts (CTA) can improve participant recruitment to certain clinical research studies. Despite their promise, much remains to be learned about the use of CTAs. Our objective was to study whether repeated exposure to such alerts leads to declining user responsiveness and to characterize its extent if present to better inform future CTA deployments.
Methods: During a 36-week study period, we systematically documented the response patterns of 178 physician users randomized to receive CTAs for an ongoing clinical trial. Data were collected on: (1) response rates to the CTA; and (2) referral rates per physician, per time unit. Variables of interest were offset by the log of the total number of alerts received by that physician during that time period, in a Poisson regression.
Results: Response rates demonstrated a significant downward trend across time, with response rates decreasing by 2.7% for each advancing time period, significantly different from zero (flat) (p<0.0001). Even after 36 weeks, response rates remained in the 30%-40% range. Subgroup analyses revealed differences between community-based versus university-based physicians (p=0.0489).
Discussion: CTA responsiveness declined gradually over prolonged exposure, although it remained reasonably high even after 36 weeks of exposure. There were also notable differences between community-based versus university-based users.
Conclusions: These findings add to the limited literature on this form of EHR-based alert fatigue and should help inform future tailoring, deployment, and further study of CTAs.
Conflict of interest statement
Figures
Similar articles
-
Physicians' perceptions of an electronic health record-based clinical trial alert approach to subject recruitment: a survey.BMC Med Inform Decis Mak. 2008 Apr 2;8:13. doi: 10.1186/1472-6947-8-13. BMC Med Inform Decis Mak. 2008. PMID: 18384682 Free PMC article.
-
EHR-based Clinical Trial Alert Effects on Recruitment to a Neurology Trial across Institutions: Interim Analysis of a Randomized Controlled Study.AMIA Jt Summits Transl Sci Proc. 2013 Mar 18;2013:117. eCollection 2013. AMIA Jt Summits Transl Sci Proc. 2013. PMID: 24303248
-
Effect of a clinical trial alert system on physician participation in trial recruitment.Arch Intern Med. 2005 Oct 24;165(19):2272-7. doi: 10.1001/archinte.165.19.2272. Arch Intern Med. 2005. PMID: 16246994 Free PMC article.
-
A review of the impact of utilising electronic medical records for clinical research recruitment.Clin Trials. 2019 Apr;16(2):194-203. doi: 10.1177/1740774519829709. Epub 2019 Feb 15. Clin Trials. 2019. PMID: 30764659 Review.
-
Electronic Health Record Embedded Strategies for Improving Care of Patients With Heart Failure.Curr Heart Fail Rep. 2023 Aug;20(4):280-286. doi: 10.1007/s11897-023-00614-0. Epub 2023 Aug 8. Curr Heart Fail Rep. 2023. PMID: 37552356 Review.
Cited by
-
Impact of Computerized Physician Order Entry (CPOE) Coupled With Clinical Decision Support (CDS) on Radiologic Services.Cureus. 2024 Sep 15;16(9):e69470. doi: 10.7759/cureus.69470. eCollection 2024 Sep. Cureus. 2024. PMID: 39411619 Free PMC article. Review.
-
Bridging the Gap in Genomic Implementation: Identifying User Needs for Precision Nephrology.Kidney Int Rep. 2024 Jun 3;9(8):2420-2431. doi: 10.1016/j.ekir.2024.05.032. eCollection 2024 Aug. Kidney Int Rep. 2024. PMID: 39156149 Free PMC article.
-
A Discount Approach to Reducing Nursing Alert Burden.Appl Clin Inform. 2024 Aug;15(4):727-732. doi: 10.1055/a-2345-6475. Epub 2024 Jun 14. Appl Clin Inform. 2024. PMID: 38876466
-
Resident-Driven Clinical Decision Support Governance to Improve the Utility of Clinical Decision Support.Appl Clin Inform. 2024 Mar;15(2):335-341. doi: 10.1055/s-0044-1786682. Epub 2024 May 1. Appl Clin Inform. 2024. PMID: 38692282
-
AI-enabled electrocardiography alert intervention and all-cause mortality: a pragmatic randomized clinical trial.Nat Med. 2024 May;30(5):1461-1470. doi: 10.1038/s41591-024-02961-4. Epub 2024 Apr 29. Nat Med. 2024. PMID: 38684860 Clinical Trial.
References
-
- Nathan DG, Wilson JD. Clinical research and the NIH: a report card. N Engl J Med 2003;349:1860–5 - PubMed
-
- Campbell EG, Weissman JS, Moy E, et al. Status of clinical research in academic health centers: views from the research leadership. JAMA 2001;286:800–6 - PubMed
-
- Mansour EG. Barriers to clinical trials. Part III: knowledge and attitudes of health care providers. Cancer 1994;74(9 Suppl):2672–5 - PubMed
-
- Siminoff LA, Zhang A, Colabianchi N, et al. Factors that predict the referral of breast cancer patients onto clinical trials by their surgeons and medical oncologists. J Clin Oncol 2000;18:1203–11 - PubMed
-
- Somkin CP, Altschuler A, Ackerson L, et al. Organizational barriers to physician participation in cancer clinical trials. Am J Manag Care 2005;11:413–21 - PubMed
Publication types
MeSH terms
Grants and funding
LinkOut - more resources
Full Text Sources
Medical
