Evidence map›Paper›PMID 40107302›Full record

ArticleApplied clinical informatics2025

Provider Adoption of an Online Attention Deficit Hyperactivity Disorder eHealth Care Application.

Jeffery N Epstein, William B Brinkman, Tanya E Froehlich, Constance A Mara, John O Simon, Andrew F Beck, Suzanne Emmer

Abstract read
In one paragraph

Article in Applied clinical informatics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Trial
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.

Jeffery N EpsteinDepartment of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, Ohio, United States.
William B BrinkmanDepartment of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, Ohio, United States.
Tanya E FroehlichDepartment of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, Ohio, United States.
Constance A MaraDepartment of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, Ohio, United States.
John O SimonDivision of Behavioral Medicine and Clinical Psychology, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, United States.
Andrew F BeckDepartment of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, Ohio, United States.
Suzanne EmmerDepartment of Child Health Finance and Quality, American Academy of Pediatrics, Itasca, Illinois, United States.

Funding

U.S. Department of Health and Human Services, National Institutes of Health, National Center for Advancing Translational Sciences UL1TR000077U.S. Department of Health and Human Services, National Institutes of Health, National Institute of Mental Health R01MH118488
6 · The paper itself

Abstract

To assess what practice-, provider-, and patient population-level predictors predict adoption of an ADHD ehealth technology in community pediatric settings, pediatric providers nationwide were recruited and offered free use of an evidence-based mental health-focused ehealth quality improvement intervention (mehealth for ADHD). Practice-, provider-, and patient population-level factors predicting provider's adoption of the intervention were studied. We hypothesized that providers who were younger, nearing recredentialing, having more patients with ADHD, working at larger practices, serving socioeconomically deprived patient populations, and using an electronic health record (EHR) with mehealth integration would predict higher rates of adoption.A variety of recruitment strategies were attempted. Providers completed a baseline survey, were given free access to mehealth, and then had their software adoption recorded (i.e., account activation, rate of patients registered, completion of Plan-Do-Study-Act cycles). Multiple regressions examined what practice-, provider-, and patient population-level variables predicted provider's adoption of the software.A total of 1,612 providers at 813 practices across 48 states and the District of Columbia consented to the study. The most common ways that providers heard about the research study was through word-of-mouth (37%), advertising (23%), and through professional affiliation (11%). A total of 1,210 (75.1%) providers activated their mehealth provider account and 446 (36.8%) registered at least 1 patient. Over 4.5 years, 21,804 patients were registered on the platform. Being able to access mehealth within their EHR predicted provider account activation, provider rate of patients registered, and the practice's completion of Plan-Do-Study-Act cycles. In addition, having a lower proportion of Medicaid patients predicted higher rates of patients being registered on the software.Getting providers to consider, try, and adopt new evidence-based assistive technologies is challenging. Making ehealth software easier for providers' to access through EHR integration appears critical to adoption.

Indexed as

Attention Deficit Disorder with HyperactivityHealth PersonnelInternetTelemedicineAdultChildElectronic Health RecordsFemaleHumansMale

Identifiers

PMID40107302
PMCPMC12266940

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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.