Evidence map›Paper›PMID 41610208›Full record

ArticleJournal of medical Internet research2026

Patient and Care Team Perspectives of Barriers to and Facilitators for the Implementation of a Digital Health Program for Depression in Primary Care: Qualitative Study.

Andrea Nederveld, Elise A Robertson, Angela M Lanigan, Elisabeth F Callen, Tarin L Clay, Ben Fehnert, Lambros Chrones, Michael L Martin, Margaret McCue, Christina M Hester and 1 more

Abstract read
In one paragraph

Article in Journal of medical Internet research, 2026. 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

11 authors.

Andrea NederveldUniversity of Colorado Anschutz Medical Campus, Aurora, CO, United States.ORCID http://orcid.org/0000-0003-4121-4278
Elise A RobertsonNational Research Network, American Academy of Family Physicians, Leawood, KS, United States.ORCID http://orcid.org/0000-0001-7255-8829
Angela M LaniganNational Research Network, American Academy of Family Physicians, Leawood, KS, United States.ORCID http://orcid.org/0000-0001-8978-6406
Elisabeth F CallenNational Research Network, American Academy of Family Physicians, Leawood, KS, United States.ORCID http://orcid.org/0000-0002-6989-2428
Tarin L ClayNational Research Network, American Academy of Family Physicians, Leawood, KS, United States.ORCID http://orcid.org/0000-0003-1252-5544
Ben FehnertCtrl Group/Fora Health, London, United Kingdom.ORCID http://orcid.org/0000-0002-5371-2154
Lambros ChronesTakeda Pharmaceuticals U.S.A., Inc., Lexington, MA, United States.ORCID http://orcid.org/0000-0001-7822-9364
Michael L MartinTakeda Pharmaceuticals U.S.A., Inc., Lexington, MA, United States.ORCID http://orcid.org/0000-0003-0475-1162
Margaret McCueTakeda Pharmaceuticals U.S.A., Inc., Lexington, MA, United States.ORCID http://orcid.org/0000-0003-1953-1795
Christina M HesterNational Research Network, American Academy of Family Physicians, Leawood, KS, United States.ORCID http://orcid.org/0000-0001-5046-3415
Melissa K FilippiNational Research Network, American Academy of Family Physicians, Leawood, KS, United States.ORCID http://orcid.org/0000-0002-6182-9512

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Depression is pervasive, and rates are rising in the United States. Most people with depression receive care from primary care clinicians, but gaps in the quality of care exist. Team-based approaches to depression care have been shown to aid in treatment and management; yet, challenges exist in implementation. Digital health apps have been shown to be effective in improving depression symptoms and enhancing patient engagement in some populations. Many, however, do not share data with clinical care teams. Objective: This study aimed to understand the barriers to and facilitators for implementation of a digital health program that supports coordinated use by clinical care teams and patients, via a mobile app and care team-facing web interface, for depression in primary care. Methods: This study was part of a larger intervention study that included 4 primary care practices: 2 intervention and 2 control sites. The intervention sites used a patient-facing mobile app and a care team-facing web interface, and the control sites continued usual care. The study team conducted interviews from May to October 2021. Patient and care team participants were recruited toward the end of their study involvement. Separate semistructured interview guides were developed for patient and care team participants. Interviews were recorded and transcribed. Data were coded using Atlas.ti.9, and data analysis was completed using a grounded theory approach. Results: Interviews with patient (n=8) and care team (n=8) participants revealed 3 main topics for program implementation: app/interface usability, tracking, and program recommendations. For app/interface usability, overall, navigation for both patient and care team participants was simple and straightforward. Although app content was relevant, patient participants desired additional educational resources and information to aid in their depression treatment and management. In terms of tracking, care team participants indicated that data obtained via the interface enabled them to monitor patients in between visits; and in some circumstances, these data facilitated conversations with patients about treatment plans. Tracking medication adherence differed among patient participants due to established routines of taking medications consistently, lack of motivation to track, or lack of interest in tracking. Care team participants reported the ability to respond more quickly to side effects. Patients commented on tracking difficulties: confusing response options, insufficient goal attainment response options, not being able to provide details or write notes, and no ability to change goals. Some patient and care team participants perceived that tracking encouraged communication with one another; others perceived tracking as having no impact on shared decision-making. Conclusions: Results suggest implementation of a digital health program for depression treatment and management in primary care practices could impact patient medication adherence, produce faster turnaround time for medication optimization, encourage goal setting, and foster communication between patients and care team members. Program enhancements could optimize patient and care team member engagement.

Indexed as

DepressionPatient Care TeamPrimary Health CareAdultDigital HealthDigital MediaFemaleHumansMaleMiddle AgedMobile ApplicationsQualitative Researchdepressiondepression treatmentdigital healthfamily physiciansgoal settingmajor depressive disorderMDDmobile healthprimary carequalitativeshared decision-making

Identifiers

PMID41610208
PMCPMC12854275

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.