Evidence map›Paper›PMID 30474076›Full record

ArticleJAMIA open2018

Research participation preferences as expressed through a patient portal: implications of demographic characteristics.

Jihad S Obeid, Azza Shoaibi, Jim C Oates, Melissa L Habrat, Chanita Hughes-Halbert, Leslie A Lenert

Abstract read
In one paragraph

Article in JAMIA open, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

19 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Embedding research study recruitment within the patient portal preCheck-in.Journal of the American Medical Informatics Association : JAMIA · 2023
    Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Selecting EHR-driven recruitment strategies: An evidence-based decision guide.Journal of clinical and translational science · 2022
    Article
  15. Article
  16. Article
  17. Public attitudes toward an authorization for contact program for clinical research.Journal of the American Medical Informatics Association : JAMIA · 2021
    Article
  18. Article
  19. Challenges and opportunities using online portals to recruit diverse patients to behavioral trials.Journal of the American Medical Informatics Association : JAMIA · 2019
    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

6 authors.

Jihad S ObeidBiomedical Informatics Center, Medical University of South Carolina, Charleston, South Carolina, USA.ORCID 0000-0002-7193-7779
Azza ShoaibiBiomedical Informatics Center, Medical University of South Carolina, Charleston, South Carolina, USA.
Jim C OatesDepartment of Medicine, Medical University of South Carolina, Charleston, SC, USA.
Melissa L HabratBiomedical Informatics Center, Medical University of South Carolina, Charleston, South Carolina, USA.
Chanita Hughes-HalbertDepartment of Psychiatry and Behavioral Sciences, Medical University of South Carolina, Charleston, SC, USA.
Leslie A LenertBiomedical Informatics Center, Medical University of South Carolina, Charleston, South Carolina, USA.

Funding

South Carolina Clinical & Translational Research Institute (SCTR)UL1TR001450 · NCATS · MEDICAL UNIVERSITY OF SOUTH CAROLINA · PI BRADY, KATHLEEN T., FLUME, PATRICK A · 2015 to 2024
$41.1M
South Carolina Clinical & Translational Research Institute (SCTR)UL1TR000062 · NCATS · MEDICAL UNIVERSITY OF SOUTH CAROLINA · PI BRADY, KATHLEEN T. · 2012 to 2014
$9.4M
Resource CoreP30AR072582 · NIAMS · MEDICAL UNIVERSITY OF SOUTH CAROLINA · PI JAMES C OATES · 2017 to 2026
$8.5M
Sociobiological Responses to Stress in Prostate Cancer SurvivorsU54MD010706 · NIMHD · UNIVERSITY OF SOUTHERN CALIFORNIA · PI ETHIER, STEPHEN P., HUGHES-HALBERT, CHANITA A. · 2016 to 2020
$8.0M
NCATS NIH HHS UL1 TR000062NCATS NIH HHS UL1 TR001450NIAMS NIH HHS P30 AR072582NIMHD NIH HHS U54 MD010706
6 · The paper itself

Abstract

objectiveAs patient portals are increasingly used for research recruitment, it is important to examine the demographic makeup of research registries that are populated via portals and the factors that influence participation in these registries.

methodsWe examined the response to a routine research preference questionnaire among patients who were enrolled in a patient portal at an academic health center and characterized the sub-population that responded and was tracked in a research preferences registry. We examined the factors that influence choices in two research preferences: future contact for research opportunities and biobanking of de-identified specimens.

resultsOut of 79 834 patients to whom the questionnaire was sent, 32% responded. Of those 74% agreed to future contact and 77% to the biobank preference. We found significantly lower odds of agreement in both preferences in minority populations, especially in the population >65 years of age when stratified by race. Individuals with higher comorbidity indexes had significantly higher odds for agreement. DISCUSSION: The disparities in volunteerism as expressed by agreement to future contact and willingness to participate in biobanking are exacerbated by lower levels of enrollment in the patient portal by minorities, especially in the oldest age group. Future work should examine other socioeconomic factors and the differences across age groups, sicker individuals, and payer categories.

conclusionAlthough patient portals can be more efficient for recruitment, researchers have to be cognizant of, and proactively address, potential biases when recruiting participants from these registries.

Indexed as

patient portalresearch preferencesresearch recruitment

Identifiers

PMID30474076
PMCPMC6241507

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.