Evidence map›Paper›PMID 37071851›Full record

ArticleInflammatory bowel diseases2024

Profiles of Web-based Portal Users with Inflammatory Bowel Disease.

Mohamed Noureldin, Kira L Newman, Peter D R Higgins, John D Piette, Kenneth Resnicow, Jeremy Louissaint, Brooke Kenney, Jeffrey Berinstein, Akbar K Waljee, Ji Zhu and 1 more

Open access · greenAbstract read
In one paragraph

Article in Inflammatory bowel diseases, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.9field-weighted citation impact, top 24% 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

2 citing papers in PubMed, 2 citations in OpenAlex.

  1. Article
  2. 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

11 authors at 4 institutions in 1 country.

Mohamed NoureldinDivision of Gastroenterology and Hepatology, University of Michigan Medicine, Ann Arbor, MI, USA.
Kira L NewmanDivision of Gastroenterology and Hepatology, University of Michigan Medicine, Ann Arbor, MI, USA.
Peter D R HigginsDivision of Gastroenterology and Hepatology, University of Michigan Medicine, Ann Arbor, MI, USA.
John D PietteDepartment of Health Behavior and Health Education, University of Michigan School of Public Health, Ann Arbor, MI, USA.
Kenneth ResnicowDepartment of Health Behavior and Health Education, University of Michigan School of Public Health, Ann Arbor, MI, USA.
Jeremy LouissaintDivision of Gastroenterology and Hepatology, University of Texas Southwestern Medical Center, Dallas, TX, USA.
Brooke KenneyDivision of Gastroenterology and Hepatology, University of Michigan Medicine, Ann Arbor, MI, USA.
Jeffrey BerinsteinDivision of Gastroenterology and Hepatology, University of Michigan Medicine, Ann Arbor, MI, USA.ORCID 0000-0001-7631-9665
Akbar K WaljeeDivision of Gastroenterology and Hepatology, University of Michigan Medicine, Ann Arbor, MI, USA.
Ji ZhuDepartment of Statistics, University of Michigan, Ann Arbor, MI, USA.
Shirley Cohen-MekelburgDivision of Gastroenterology and Hepatology, University of Michigan Medicine, Ann Arbor, MI, USA.ORCID 0000-0001-5058-5527
Michigan Medicine · USUniversity of Michigan · USVA Ann Arbor Healthcare System · USThe University of Texas Southwestern Medical Center · US

Funding

Research BaseP30DK092926 · NIDDK · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI MARY ELLEN MICHELE HEISLER, ADESUWA B OLOMU · 2011 to 2026
$10.0M
Institutional Career Development CoreKL2TR002241 · NCATS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI ELLINGROD, VICKI L · 2017 to 2021
$6.9M
Training Program in Gastrointestinal EpidemiologyT32DK062708 · NIDDK · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Peter D.R. Higgins, Elliot Tapper · 2003 to 2026
$3.9M
NCATS NIH HHS KL2 TR002241NIDDK NIH HHS P30 DK092926NIDDK NIH HHS T32 DK062708NIH HHSVA
6 · The paper itself

Abstract

backgroundWeb-based portals can enhance communication between patients and providers to support IBD self-management and improve care. We aimed to identify portal use patterns of patients with inflammatory bowel disease (IBD) to inform future web portal-based interventions and portal design.

methodsPatients with IBD receiving care at the University of Michigan between 2012 and 2021 were identified. Meta-data from electronic logs of each patient's most recent year of portal use were abstracted. Portal engagement was characterized in terms of intensity (ie, frequency of use); comprehensiveness (ie, number of portal functions used); and duration (ie, quarters per year of portal use). We used k-means clustering, a machine-learning technique, to identify groupings of portal users defined in terms of engagement features.

resultsWe found 5605 patients with IBD who had accessed their portal account at least once. The average age was 41.2 years (SD 16.7), 3035 (54.2%) were female, and 2214 (39.5%) received immune-targeted therapies. We identified 3 patterns of portal engagement: (1) low intensity users (29.5%); (2) moderate intensity, comprehensive, and sustained users (63.3%); and (3) high intensity, comprehensive, sustained users (7.2%). Patients with more intense, comprehensive, and sustained use of the portal were older, female, with more comorbidities, and were more likely to receive immune-targeted therapies.

conclusionUnderstanding distinct patterns of portal use can inform portal-based interventions and portal design. Patient portals may be particularly helpful in delivering assistance to those with comorbidities and those receiving immune-targeted therapies-many of whom demonstrate more intense, comprehensive, and sustained portal use.

Indexed as

Inflammatory Bowel DiseasesPatient PortalsAdultComorbidityFemaleHumansInternetMaleCrohn’s diseasedigital healthself-managementulcerative colitis

Identifiers

PMID37071851
PMCPMC10769793
OpenAlexW4366249004

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.