Evidence map›Paper›PMID 37494099›Full record

ArticleJMIR human factors2023

User-Centered Design of a Digitally Enabled Care Pathway in a Large Health System: Qualitative Interview Study.

Maggie McCue, Rasha Khatib, Christopher Kabir, Chris Blair, Ben Fehnert, James King, Alexander Spalding, Lara Zaki, Lambros Chrones, Anit Roy and 1 more

Open access · goldAbstract read
In one paragraph

Article in JMIR human factors, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.8field-weighted citation impact, top 26% of its field
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

4 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. 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 at 3 institutions in 2 countries.

Maggie McCueTakeda Pharmaceuticals U.S.A., Inc., Lexington, MA, United States.ORCID https://orcid.org/0000-0003-1953-1795
Rasha KhatibAdvocate Aurora Research Institute, Advocate Health Care, Downers Grove, IL, United States.ORCID https://orcid.org/0000-0002-8046-9559
Christopher KabirAdvocate Aurora Research Institute, Advocate Health Care, Downers Grove, IL, United States.ORCID https://orcid.org/0000-0002-4712-4372
Chris BlairTakeda Pharmaceuticals U.S.A., Inc., Lexington, MA, United States.ORCID https://orcid.org/0000-0001-7594-8523
Ben FehnertCognition Kit, Cambridge, United Kingdom.ORCID https://orcid.org/0000-0002-5371-2154
James KingCtrl Group / Fora Health, London, United Kingdom.ORCID https://orcid.org/0000-0001-9969-9541
Alexander SpaldingCtrl Group / Fora Health, London, United Kingdom.ORCID https://orcid.org/0000-0002-1237-7118
Lara ZakiCtrl Group / Fora Health, London, United Kingdom.ORCID https://orcid.org/0000-0002-7050-4410
Lambros ChronesTakeda Pharmaceuticals U.S.A., Inc., Lexington, MA, United States.ORCID https://orcid.org/0000-0001-7822-9364
Anit RoyTakeda Pharmaceuticals U.S.A., Inc., Lexington, MA, United States.ORCID https://orcid.org/0000-0002-1880-8898
David E KempAdvocate Aurora Health, Downers Grove, IL, United States.ORCID https://orcid.org/0000-0003-2653-5663
Takeda (United States) · USAdvocate Health Care · USCambridge Cognition (United Kingdom) · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMajor depressive disorder (MDD) is a leading cause of disability worldwide. Management of chronic conditions such as MDD can be improved by enhanced patient engagement, measurement-based care (MBC), and shared decision-making (SDM). A user-centered design approach can improve the understanding of the patient journey and care team workflows and thus aid the development of digital health care innovations optimized for the needs of patients living with MDD and their primary care teams.

objectiveThis study aims to use qualitative research methods for the user-centered design of a digitally enabled MDD care platform, PathwayPlatform, intended to enhance patient engagement, MBC, and SDM.

methodsInsights were gathered through 2 stages of qualitative interviews by a study team with expertise in qualitative research and user-centered design methods. Thematic analysis was used to generate an overarching understanding of a set of shared experiences, thoughts, or behaviors across a broad qualitative data set, including transcripts of interviews, to allow both inductive and deductive insights to emerge. Thematic analysis of interviews was supported by Dedoose (SocioCultural Research Consultants, LLC), a qualitative data analysis software tool that enables systematized coding. Findings and insights were presented based on code frequency, salience, and relevance to the research project.

resultsIn stage 1, interviews were conducted with 20 patients living with MDD and 15 health care providers from September 2018 to January 2019 to understand the experiences with and perceptions about the initial functionality of the Pathway app while also exploring the perceptions about potential additional features and functionality. Feedback about care team workflows and treatment approaches was collected in stage-2 interviews with 36 health care providers at 8 primary care sites. Inductive and deductive thematic analyses revealed several themes related to app functionality, patient-provider engagement, workflow integration, and patient education. Both patients and their care teams perceived the remote tracking of patient-reported outcomes via digital tools to be clinically useful and reliable and to promote MBC and SDM. However, there was emphasis on the need to enhance the flow of real-time data shared with the care team, improve trend visualizations, and integrate the data within the existing clinical workflow and educational programs for patients and their care teams. User feedback was incorporated into the iterative development of the Pathway app.

conclusionsOngoing communication with patients living with MDD and their care teams provided an opportunity for user-centric developmental iterations of the Pathway Platform. Key insights led to further development of the patient-facing and care team-facing visit preparation features, collaborative goal-setting and goal-tracking features, patient-reported outcome summaries, and trend visualizations. The result is an enhanced digital platform with the potential to improve treatment outcomes and provide patients living with MDD additional support throughout their treatment journey.

Indexed as

depressiondepression managementdigital platformmajor depressive disordermeasurement-based caremobile appmobile phonepatient engagementqualitative researchshared decision-makinguser-centered design

Identifiers

PMID37494099
PMCPMC10413250
OpenAlexW4385264695

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.