Evidence map›Paper›PMID 36063414›Full record

ArticleJournal of the American Medical Informatics Association : JAMIA2022

Impact of patient portal-based self-scheduling of diagnostic imaging studies on health disparities.

Smitha Ganeshan, Logan Pierce, Michelle Mourad, Timothy J Judson, Marc D Kohli, Anobel Y Odisho, William Brown

Open access · greenAbstract read
In one paragraph

Article in Journal of the American Medical Informatics Association : JAMIA, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
2.6field-weighted citation impact, top 9% of its field
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

13 citing papers in PubMed, 18 citations in OpenAlex.

  1. [Before the examination: digital check-in].Radiologie (Heidelberg, Germany) · 2026
    Review
  2. Observational
  3. Review
  4. Using Self-Scheduling to Improve Screening Mammography Completion Rates.Journal of the American College of Radiology : JACR · 2025
    Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. Review
  10. Review
  11. Article
  12. Article
  13. 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

7 authors at 1 institution in 1 country.

Smitha GaneshanCenter for Digital Health Innovation, University of California, San Francisco, San Francisco, California, USA.
Logan PierceCenter for Digital Health Innovation, University of California, San Francisco, San Francisco, California, USA.
Michelle MouradCenter for Digital Health Innovation, University of California, San Francisco, San Francisco, California, USA.
Timothy J JudsonCenter for Digital Health Innovation, University of California, San Francisco, San Francisco, California, USA.ORCID 0000-0001-8376-6260
Marc D KohliDepartment of Radiology and Biomedical Imaging, School of Medicine, University of California, San Francisco, San Francisco, California, USA.ORCID 0000-0003-3720-0156
Anobel Y OdishoCenter for Digital Health Innovation, University of California, San Francisco, San Francisco, California, USA.ORCID 0000-0003-0975-0812
William BrownCenter for Digital Health Innovation, University of California, San Francisco, San Francisco, California, USA.
University of California, San Francisco · US

Funding

Institutional Career Development Core SupplementKL2TR001870 · NCATS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI KANAYA, ALKA M., SARKAR, URMIMALA · 2016 to 2025
$19.7M
UCSF Learning Health System K12 Career Development ProgramK12HS026383 · AHRQ · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI GONZALES, RALPH, SARKAR, URMIMALA · 2018 to 2022
$3.6M
Developing a Clinical Decision Support Tool that Assesses Risk of Opioid Use Disorder Using Natural Language Processing, Machine Learning, and Social Determinants of Health from Clinical NotesK01DA055081 · NIDA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI BROWN III, WILLIAM · 2022 to 2025
$760k
AHRQ HHS K12 HS026383NCATS NIH HHS KL2 TR001870NIDA NIH HHS K01 DA055081
6 · The paper itself

Abstract

While many case studies have described the implementation of self-scheduling tools, which allow patients to schedule visits and imaging studies asynchronously online, none have explored the impact of self-scheduling on equitable access to care.1 Using an electronic health record patient portal, University of California San Francisco deployed a self-scheduling tool that allowed patients to self-schedule diagnostic imaging studies. We analyzed electronic health record data for the imaging modalities with the option to be self-scheduled from January 1, 2021 to September 1, 2021. We used descriptive statistics to compare demographic characteristics and created a multivariable logistic regression model to identify predictors of patient self-scheduling utilization. Among all active patient portal users, Latinx, Black/African American, and non-English speaking patients were less likely to self-schedule studies. Patients with Medi-Cal, California's Medicaid program, and Medicare insurance were also less likely to self-schedule when compared with commercially insured patients. Efforts to facilitate use of patient portal-based applications are necessary to increase equitability and decrease disparities in access.

Indexed as

Patient PortalsAgedAppointments and SchedulesDiagnostic ImagingHumansMedicaidMedicareUnited StateseHealthmedical informatics applicationsmobile Healthpatient web portaltelehealth

Identifiers

PMID36063414
PMCPMC9667186
OpenAlexW4294636805

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.