Evidence map›Paper›PMID 41529108›Full record

ArticleJMIRx med2026

Automating Individualized Notification of Drug Recalls to Patients: Complex Challenges and Qualitative Evaluation.

Meghana Gadgil, Rose Pavlakos, Simona Carini, Brian Turner, Ileana Elder, William Hess, Lisa Houle, Lavonia Huff, Elaine Johanson, Carole Ramos-Izquierdo and 5 more

Abstract read
In one paragraph

Article in JMIRx med, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

15 authors.

Meghana GadgilDivision of General Internal Medicine, University of California, San Francisco, Box 0320, San Francisco, CA, 94143, United States, 1-415-353-7922.ORCID http://orcid.org/0000-0001-8638-0048
Rose PavlakosDivision of Cardiology, University of California, San Francisco, San Francisco, CA, United States.ORCID http://orcid.org/0009-0006-0430-7626
Simona CariniDivision of General Internal Medicine, University of California, San Francisco, Box 0320, San Francisco, CA, 94143, United States, 1-415-353-7922.ORCID http://orcid.org/0000-0002-4054-9458
Brian TurnerClinical and Translational Science Institute, University of California, San Francisco, San Francisco, CA, United States.ORCID http://orcid.org/0000-0003-3150-3762
Ileana ElderFood and Drug Administration, Silver Spring, MD, United States.ORCID http://orcid.org/0009-0006-2434-3026
William HessFood and Drug Administration, Silver Spring, MD, United States.ORCID http://orcid.org/0000-0001-9898-6899
Lisa HouleTuvli, LLC, Herndon, VA, United States.ORCID http://orcid.org/0009-0004-3338-8053
Lavonia HuffFood and Drug Administration, Silver Spring, MD, United States.ORCID http://orcid.org/0009-0000-3247-1534
Elaine JohansonFood and Drug Administration, Silver Spring, MD, United States.ORCID http://orcid.org/0000-0002-1521-5229
Carole Ramos-IzquierdoFood and Drug Administration, Silver Spring, MD, United States.ORCID http://orcid.org/0009-0001-5974-4325
Daphne LiangFood and Drug Administration, Silver Spring, MD, United States.ORCID http://orcid.org/0009-0002-6437-6317
Pamela OgonowskiFood and Drug Administration, Silver Spring, MD, United States.ORCID http://orcid.org/0009-0003-9747-9176
Joshua PhippsConceptant, Inc, Falls Church, VA, United States.ORCID http://orcid.org/0009-0000-8361-6334
Tyler PeryeaFood and Drug Administration, Silver Spring, MD, United States.ORCID http://orcid.org/0000-0002-5388-9750
Ida SimDivision of General Internal Medicine, University of California, San Francisco, Box 0320, San Francisco, CA, 94143, United States, 1-415-353-7922.ORCID http://orcid.org/0000-0002-1045-8459

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Consumer-level drug recalls usually require action by individual patients. The Food and Drug Administration (FDA) has public-facing outlets to inform the public about drug safety information, including all recalls, but individual consumers may not be aware of them. And there is no system in place to notify individual prescribers which of their patients are affected by a specific recall. Objective: We aimed to leverage the FDA's Healthy Citizen prototype web-based software platform, which provides users with information about recalls, to automatically notify patients of relevant recalls. Methods: We developed and evaluated an electronic notification system in the primary care and cardiology practices at a large, urban, academic medical center. The health care portal scanned the FDA Healthy Citizen application programming interface nightly to detect new recalls, identified patients who had those medications in their electronic health record (EHR) medication list, and sent them a message through the EHR patient portal with a link to a customized FDA information display. Using structured interviews, we assessed qualitative feedback on the system and portal messaging from a convenience sample of 9 patients. Results: The system was technically functional, but it was not possible to trace a medication prescription from the EHR to specific lot numbers dispensed to that patient by a community pharmacy. The qualitative feedback obtained from patients showed convergence of topics. Conclusions: Lack of an accurate electronic audit trail from prescription to dispensed medication precludes clinical deployment of automated drug recall notification.

Indexed as

decision supportdrug recallselectronic health recordsmedicationnotification systempatient safetyprescriptions

Identifiers

PMID41529108
PMCPMC12798837

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.