Evidence map›Paper›PMID 40585056›Full record

ArticleDigital health

Digital engagement and the efficacy of patient portal-based preventive care interventions.

Marcus A Rauhut

Abstract read
In one paragraph

Article in Digital health. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

1 author.

Marcus A RauhutResearch & Development, WellSpan Health, York, PA, USA.ORCID https://orcid.org/0009-0008-7671-2262

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Many adults are overdue for important screenings and vaccines, but providers have limited resources to address these care gaps. Electronic messaging, including patient portal messaging, can be an effective intervention to increase screening and vaccine adherence. However, there is limited research examining variables influencing intervention efficacy beyond demographic variables. Objective: This study aims to identify whether patient portal engagement and primary care visits affect the efficacy of patient portal-based screening or vaccine reminders. Methods: A retrospective analysis of electronic medical record data was used to evaluate the completion of screening mammograms, influenza vaccinations, and fecal immunochemical test (FIT) screenings for approximately 400,000 MyChart patient portal users at a large integrated health system. A logistic regression analysis was performed to calculate odds ratios associated with intervention completion. Results: When adjusted for age, race, and sex, MyChart engagement is associated with increased odds of completing patient portal interventions for mammograms, flu vaccines, and FIT screenings. When adjusted for age, race, and sex, primary care visits are associated with increased odds of completing flu vaccines and FIT screenings but not mammograms following a patient portal intervention. Conclusions: Overall patient portal engagement is critical to portal-based preventive health interventions. These interventions are most successful when combined with office-based interventions, but there is a potential in some scenarios that digital interventions can be successful without office-based interventions. This research contributes to the existing literature around screening adherence and patient portals' impact on health outcomes.

Indexed as

Electronic messaginghealth maintenancepatient portalpersonal health recordpreventive health

Identifiers

PMID40585056
PMCPMC12205184

What OpenQuestion holds

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LicenceCC BY-NC
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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.