Evidence map›Paper›PMID 41055905›Full record

ArticleJAMA network open2025

Patient-Physician Messaging by Race, Ethnicity, Insurance Type, and Preferred Language.

Lisa S Rotenstein, Brianna Hardy, Mitchell Tang, Bryan Steitz, Robert W Turer, Emily Alsentzer, Michael L Barnett

Abstract read
In one paragraph

Article in JAMA network open, 2025. 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
–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. 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

7 authors.

Lisa S RotensteinBrigham and Women's Hospital, Boston, Massachusetts.
Brianna HardyVanderbilt University Medical Center, Nashville, Tennessee.
Mitchell TangHarvard Business School, Boston, Massachusetts.
Bryan SteitzVanderbilt University Medical Center, Nashville, Tennessee.
Robert W TurerUniversity of Texas Southwestern Medical Center, Dallas.
Emily AlsentzerBrigham and Women's Hospital, Boston, Massachusetts.
Michael L BarnettBrigham and Women's Hospital, Boston, Massachusetts.

Funding

Integrative Data Science Approach to Advance Care Coordination of ADRD by Primary Care ProvidersK01AG083133 · NIA · VANDERBILT UNIVERSITY MEDICAL CENTER · PI Bryan Steitz · 2023 to 2026
$479k
NIA NIH HHS K01 AG083133
6 · The paper itself

Abstract

Importance: Asynchronous patient-portal messaging has emerged as a central component of patient-physician communication, yet disparities in response patterns remain underexplored. Objective: To examine variations in asynchronous messaging responses in primary care by race and ethnicity, insurance type, and primary language. Design, Setting, and Participants: This cross-sectional study of messaging data included 795 170 adult patients receiving primary care at Mass General Brigham in 2021, 341 836 of whom sent an asynchronous patient portal message. Data were analyzed from April 17, 2023, to July 29, 2025. Exposures: Race and ethnicity, insurance status, and preferred language. Main Outcomes and Measures: Receipt of a response within 1 or 3 business days and time to first response from care team. Multivariable regression models adjusted for patient demographics, clinic, and time fixed effects. Results: The analytic sample consisted of 341 836 patients, who sent a total of 3 525 905 messages comprising 1 270 662 message threads to 1113 physicians. Among these patients (mean [SD] age, 52.2 [17.3] years), 18 442 were Asian (5.4%), 14 089 were Black or African American (4.1%), 9979 were Hispanic or Latino (2.9%), 285 919 were White (83.6%), 232 661 had commercial insurance (68.1%), and 332 004 primarily spoke English (97.1%). Characteristics of patient-threads that received a response from any care team member within 1 business day were as follows: 65.7% of threads from Black participants (32 165 of 48 983), 63.9% of threads from Hispanic or Latino (21 732 of 34 014), 68.5% of threads from White participants (743 161 of 1 085 517), 70.0% of threads from patients with commercial insurance (529 803 of 756 923), 60.9% of threads from patients with dual-eligibility (40 846 of 67 045), 68.4% of threads from patients preferring English (847 489 of 1 239 768), and 58.0% of threads from patients preferring Spanish (6898 of 11 903). Similar disparities were found in the response rate from primary care physicians. After adjustment, compared with White patients, the rate of response from any care team member within 1 day was lower for Black patients (1.1 [95% CI, 0.2-2.0] percentage points; P = .01) and Hispanic patients (1.1 [95% CI, 0.3-1.9] percentage points; P = .01). Compared with patients with commerical insurance, the response rate within 1 day was lower for dual-eligible patients (4.9 [95% CI, 4.2-5.5] percentage points; P < .001), and compared with patients who preferred English, the response rate within 1 day was lower for patients who preferred Spanish (4.1 [95% CI, 2.5-5.7] percentage points; P < .001). Adjustment for clinic and time fixed effects accounted for most of the observed disparities in response rates and timing. Conclusions and Relevance: In this cross-sectional study of primary care patients in a single health system, there were significant disparities in the responsiveness of primary care teams to asynchronous patient-portal messages by race and ethnicity, insurance type, and language. These were partially attributable to slower response times at practices that treat underserved patients.

Indexed as

EthnicityInsurance, HealthPatient PortalsPhysician-Patient RelationsRacial GroupsAdultAgedCross-Sectional StudiesFemaleHumansLanguageMaleMiddle AgedPrimary Health Care

Identifiers

PMID41055905
PMCPMC12505178

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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.