Evidence map›Paper›PMID 41377055›Full record

ArticlePreventive medicine reports2025

Mammogram adherence after a rise in telehealth use: a longitudinal study of a large health system.

Ofer Amram, Pablo Monsivais, Jeanne Robison, Chaya Mangel Pflugeisen, Namrata Sanjeevi

Abstract read
In one paragraph

Article in Preventive medicine reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

Ofer AmramElson S. Floyd College of Medicine, Washington State University, Spokane, WA 99202, USA.
Pablo MonsivaisElson S. Floyd College of Medicine, Washington State University, Spokane, WA 99202, USA.
Jeanne RobisonMultiCare Institute for Research & Innovation, Tacoma, WA 98415, USA.
Chaya Mangel PflugeisenMultiCare Institute for Research & Innovation, Tacoma, WA 98415, USA.
Namrata SanjeeviElson S. Floyd College of Medicine, Washington State University, Spokane, WA 99202, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Early detection of breast cancer through routine screening improves survival. Increased engagement with healthcare services may promote mammography uptake. This study examined whether greater telehealth use is associated with higher mammogram screening rates. Methods: We analyzed data from January 1st 2018 to December 31st 2023 from the MultiCare Health System in Washington State. For each year, we determined whether a patient received a screening mammogram during that year or the following year. We assessed the association between type of encounter (≥1 telehealth visit vs. in-person only vs. no encounters) and the likelihood of having a mammogram, adjusting for race/ethnicity, insurance type, age, and pre-/post-COVID-19 period. Results: Among 140,390 female patients (609,061 patient-year observations), those with no encounters were least likely to undergo mammography. Women who used telehealth were less likely to be screened than those with in-person visits but more likely than those with no visits (rural: Odds Ratio (OR) = 0.50, 95 % Confidence Interval (CI) = 0.43,0.60; urban: OR = 0.68, 95 % CI = 0.65,0.70). Telehealth rose from 0.04 % to 4 % post-COVID-19, while mammography rates increased from 0 % to an average of 13 %. Conclusions: Expanding telehealth access may increase routine mammography, particularly among previously unscreened populations.

Indexed as

Breast CancerMammographyPreventionRuralityTelehealth

Identifiers

PMID41377055
PMCPMC12686721

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.