Evidence map›Paper›PMID 36167336›Full record

ArticleApplied clinical informatics2022

Characteristics of Adult Primary Care Patients Who Use the Patient Portal: A Cross-Sectional Analysis.

Nicholas J Casacchia, Gary E Rosenthal, Nathaniel S O'Connell, Richa Bundy, Lauren Witek, Brian J Wells, Deepak Palakshappa

Abstract read
In one paragraph

Article in Applied clinical informatics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 1 pooled it
–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

16 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Patient Portal Use Among Older Adults: A Systematic Review and Meta-Analysis.Proceedings. IEEE International Conference on Healthcare Informatics · 2026
    Article
  5. Article
  6. Article
  7. More Older Adults Try Patient Portals in Recent Years, but Many Don't Continue: A Meta-Analysis.Extended abstracts on Human factors in computing systems. CHI Conference · 2026
    Article
  8. Article
  9. Article
  10. Transforming research recruitment: Leveraging EHR systems and patient portals.Journal of clinical and translational science · 2025
    Article
  11. Observational
  12. Review
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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.

Nicholas J CasacchiaWake Forest Clinical and Translational Science Institute, Wake Forest School of Medicine, Winston-Salem, North Carolina, United States.
Gary E RosenthalDepartment of Internal Medicine, Wake Forest School of Medicine, Winston-Salem, North Carolina, United States.
Nathaniel S O'ConnellDepartment of Biostatistics and Data Science, Wake Forest School of Medicine, Winston-Salem, North Carolina, United States.
Richa BundyDepartment of Internal Medicine, Wake Forest School of Medicine, Winston-Salem, North Carolina, United States.
Lauren WitekDepartment of Internal Medicine, Wake Forest School of Medicine, Winston-Salem, North Carolina, United States.
Brian J WellsWake Forest Clinical and Translational Science Institute, Wake Forest School of Medicine, Winston-Salem, North Carolina, United States.
Deepak PalakshappaDepartment of Internal Medicine, Wake Forest School of Medicine, Winston-Salem, North Carolina, United States.

Funding

Wake Forest Clinical and Translational Science AwardUL1TR001420 · NCATS · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI ARD, JAMY D, FOLEY, KRISTIE L · 2015 to 2023
$32.3M
J. NRSA Training Core (TL1)TL1TR003136 · NCATS · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI TOOZE, JANET A. · 2019 to 2023
$2.1M
Mobile Technology for Primary Care to Address Food Insecurity and Improve Cardiovascular HealthK23HL146902 · NHLBI · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI PALAKSHAPPA, DEEPAK · 2020 to 2024
$776k
NCATS NIH HHS TL1 TR003136NCATS NIH HHS UL1 TR001420NHLBI NIH HHS K23 HL146902
6 · The paper itself

Abstract

backgroundThe patient portal allows patients to engage with their health care team beyond the clinical encounter. While portals can improve patient outcomes, there may be disparities in which patients access the portal by sociodemographic factors. Understanding the characteristics of patients who use the portal could help design future interventions to expand portal adoption.

objectivesThis study aimed to (1) examine the socioeconomic factors, comorbid conditions, and health care utilization among patients of a large academic primary care network who are users and non-users of the patient portal; and (2) describe the portal functions most frequently utilized.

methodsWe included all adult patients at Atrium Health Wake Forest Baptist who had at least two primary care visits between 2018 and 2019. Patients' demographics, comorbidities, health care utilization, and portal function usage were extracted from the electronic health record and merged with census data (income, education, and unemployment) from the American Community Survey. A myWakeHealth portal user was defined as a patient who used a bidirectional portal function at least once during the study period. We used multivariable logistic regression to determine which patient characteristics were independently associated with being a portal user.

resultsOf the 178,720 patients who met inclusion criteria, 32% (

conclusionWe found that patient demographics and area socioeconomic factors were associated with patient portal adoption. These findings suggest that efforts to improve portal adoption should be targeted at vulnerable patients.

Indexed as

Patient PortalsAdultCross-Sectional StudiesDelivery of Health CareElectronic Health RecordsFemaleHumansPrimary Health Care

Identifiers

PMID36167336
PMCPMC9629981

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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.