Evidence map›Paper›PMID 38917428›Full record

ArticleJournal of the American Medical Informatics Association : JAMIA2024

Using patient portals for large-scale recruitment of individuals underrepresented in biomedical research: an evaluation of engagement patterns throughout the patient portal recruitment process at a single site within the All of Us Research Program.

Maura Beaton, Xinzhuo Jiang, Elise Minto, Chun Yee Lau, Lennon Turner, George Hripcsak, Kanchan Chaudhari, Karthik Natarajan

Abstract read
In one paragraph

Article in Journal of the American Medical Informatics Association : JAMIA, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Trial
  2. Article
  3. Article
  4. Article
  5. Article
  6. Transforming research recruitment: Leveraging EHR systems and patient portals.Journal of clinical and translational science · 2025
    Article
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

8 authors.

Maura BeatonDepartment of Biomedical Informatics, Columbia University Irving Medical Center, New York, NY 10032, United States.ORCID 0000-0003-4649-255X
Xinzhuo JiangDepartment of Biomedical Informatics, Columbia University Irving Medical Center, New York, NY 10032, United States.ORCID 0000-0002-1944-6526
Elise MintoDepartment of Biomedical Informatics, Columbia University Irving Medical Center, New York, NY 10032, United States.ORCID 0009-0003-2987-3542
Chun Yee LauDepartment of Biomedical Informatics, Columbia University Irving Medical Center, New York, NY 10032, United States.ORCID 0000-0001-5934-5562
Lennon TurnerCenter for Precision Medicine and Genomics, Columbia University Irving Medical Center, New York, NY 10032, United States.
George HripcsakDepartment of Biomedical Informatics, Columbia University Irving Medical Center, New York, NY 10032, United States.ORCID 0000-0003-2664-7614
Kanchan ChaudhariDepartment of Biomedical Informatics, Columbia University Irving Medical Center, New York, NY 10032, United States.
Karthik NatarajanDepartment of Biomedical Informatics, Columbia University Irving Medical Center, New York, NY 10032, United States.ORCID 0000-0002-9066-9431

Funding

NIH HHS 5U2COD0231 96
6 · The paper itself

Abstract

objectiveTo evaluate the use of patient portal messaging to recruit individuals historically underrepresented in biomedical research (UBR) to the All of Us Research Program (AoURP) at a single recruitment site. MATERIALS AND

methodsPatient portal-based recruitment was implemented at Columbia University Irving Medical Center. Patient engagement was assessed using patient's electronic health record (EHR) at four recruitment stages: Consenting to be contacted, opening messages, responding to messages, and showing interest in participating. Demographic and socioeconomic data were also collected from patient's EHR and univariate logistic regression analyses were conducted to assess patient engagement.

resultsBetween October 2022 and November 2023, a total of 59 592 patients received patient portal messages inviting them to join the AoURP. Among them, 24 445 (41.0%) opened the message, 8983 (15.1%) responded, and 3765 (6.3%) showed interest in joining the program. Though we were unable to link enrollment data with EHR data, we estimate about 2% of patients contacted ultimately enrolled in the AoURP. Patients from underrepresented race and ethnicity communities had lower odds of consenting to be contacted and opening messages, but higher odds of showing interest after responding. DISCUSSION: Patient portal messaging provided both patients and recruitment staff with a more efficient approach to outreach, but patterns of engagement varied across UBR groups.

conclusionPatient portal-based recruitment enables researchers to contact a substantial number of participants from diverse communities. However, more effort is needed to improve engagement from underrepresented racial and ethnic groups at the early stages of the recruitment process.

Indexed as

Biomedical ResearchElectronic Health RecordsPatient PortalsPatient SelectionAdultAgedEthnic and Racial MinoritiesFemaleHumansMaleMiddle AgedMinority GroupsPatient ParticipationUnited StatesYoung Adultpatient portalresearch recruitmentunderrepresented in biomedical research

Identifiers

PMID38917428
PMCPMC11413441

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.