Evidence map›Paper›PMID 40799929›Full record

ReviewJAMIA open2025

Measurement, drivers, and outcomes of patient-initiated secure messaging use and intensity: a scoping review.

Aleksandra Wec, Kelly T Gleason, Danielle Peereboom, Mary Jo Gamper, Sharmini Rathakrishnan, Jennifer L Wolff

Erratum issuedAbstract readReview
In one paragraph

Review in JAMIA open, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Observational
  2. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors.

Aleksandra WecDepartment of Health Policy and Management, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD 21205, United States.
Kelly T GleasonJohns Hopkins University School of Nursing, Baltimore, MD 21205, United States.ORCID https://orcid.org/0000-0002-4203-6517
Danielle PeereboomDepartment of Health Policy and Management, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD 21205, United States.
Mary Jo GamperJohns Hopkins University School of Nursing, Baltimore, MD 21205, United States.
Sharmini RathakrishnanDepartment of Health Policy and Management, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD 21205, United States.
Jennifer L WolffDepartment of Health Policy and Management, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD 21205, United States.

Funding

Remote Data Enclave Core (RDEC)P30AG066587 · NIA · JOHNS HOPKINS UNIVERSITY · PI DANIEL E POLSKY, Jennifer L. Wolff · 2020 to 2026
$6.7M
Consumer Health Information Technology to Engage and Support ADRD Caregivers: Research Program to Address ADRD Implementation MIlestone 13.IR35AG072310 · NIA · JOHNS HOPKINS UNIVERSITY · PI WOLFF, JENNIFER L. · 2021 to 2025
$4.3M
Health Services and Outcomes Research for Aging PopulationsT32AG066576 · NIA · JOHNS HOPKINS UNIVERSITY · PI CYNTHIA Melinda BOYD, Jennifer L. Wolff · 2020 to 2026
$3.8M
Strength-Based Health Equity Across the Life CourseT32NR020315 · NINR · JOHNS HOPKINS UNIVERSITY · PI HAE-RA HAN · 2022 to 2026
$1.8M
NIA NIH HHS P30 AG066587NIA NIH HHS R35 AG072310NIA NIH HHS T32 AG066576NINR NIH HHS T32 NR020315
6 · The paper itself

Abstract

Objective: Use of secure messaging through the patient portal has increased in recent years. We compile evidence of how patient-initiated secure messaging has been measured, factors associated with use, and effects on individual and organization-level outcomes. Materials and Methods: We conducted a scoping review of articles published through October 2023 by systematically searching PubMed, Embase, and CINAHL. The search identified 2574 articles; 220 were selected for full text review and 78 met eligibility criteria. Factors and outcomes associated with messaging were organized according to the System Engineering Initiative for Patient Safety (SEIPS) 2.0 framework. Results: Of 78 included studies, 70 (90%) specified the measurement approach: measuring any messaging use versus none (binary measure) (27/70; 39%), intensity of use (34/70; 49%), or both (9/70; 13%). Studies predominantly examined patient (vs clinician) characteristics (48/78; 62%), findings that patients of female sex, White race, higher socioeconomic status, and greater comorbidity were more likely to message and with greater intensity. Factors in other domains of the SEIPS framework such as tasks (7/78; 9%), tools/technology (5/78; 6%), organizational (7/78; 9%), and environmental (11/78; 14%) factors were examined less frequently, with mixed findings. Outcomes of secure messaging (23/78; 30%) were generally favorable with respect to clinical outcomes (10/23; 43%), efficiency (5/23; 22%), and care experience (5/23; 22%) and mixed with respect to health services use. Discussion: Patient-initiated messaging use has been variably measured, with notable gaps in our understanding of the role of organization-level factors. Conclusion: Evidence is needed to inform approaches implemented by healthcare systems to manage the growing volume of patient-initiated messages.

Indexed as

patient portalscoping reviewsecure messaging

Identifiers

PMID40799929
PMCPMC12342875

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.