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

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          Abstract

          Background

          Major 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.

          Objective

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

          Methods

          Insights 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.

          Results

          In 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.

          Conclusions

          Ongoing 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.

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          Most cited references49

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          Using thematic analysis in psychology

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            The PHQ-9: validity of a brief depression severity measure.

            While considerable attention has focused on improving the detection of depression, assessment of severity is also important in guiding treatment decisions. Therefore, we examined the validity of a brief, new measure of depression severity. The Patient Health Questionnaire (PHQ) is a self-administered version of the PRIME-MD diagnostic instrument for common mental disorders. The PHQ-9 is the depression module, which scores each of the 9 DSM-IV criteria as "0" (not at all) to "3" (nearly every day). The PHQ-9 was completed by 6,000 patients in 8 primary care clinics and 7 obstetrics-gynecology clinics. Construct validity was assessed using the 20-item Short-Form General Health Survey, self-reported sick days and clinic visits, and symptom-related difficulty. Criterion validity was assessed against an independent structured mental health professional (MHP) interview in a sample of 580 patients. As PHQ-9 depression severity increased, there was a substantial decrease in functional status on all 6 SF-20 subscales. Also, symptom-related difficulty, sick days, and health care utilization increased. Using the MHP reinterview as the criterion standard, a PHQ-9 score > or =10 had a sensitivity of 88% and a specificity of 88% for major depression. PHQ-9 scores of 5, 10, 15, and 20 represented mild, moderate, moderately severe, and severe depression, respectively. Results were similar in the primary care and obstetrics-gynecology samples. In addition to making criteria-based diagnoses of depressive disorders, the PHQ-9 is also a reliable and valid measure of depression severity. These characteristics plus its brevity make the PHQ-9 a useful clinical and research tool.
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              Standards for reporting qualitative research: a synthesis of recommendations.

              Standards for reporting exist for many types of quantitative research, but currently none exist for the broad spectrum of qualitative research. The purpose of the present study was to formulate and define standards for reporting qualitative research while preserving the requisite flexibility to accommodate various paradigms, approaches, and methods.
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                Author and article information

                Contributors
                Journal
                JMIR Hum Factors
                JMIR Hum Factors
                JMIR Human Factors
                JMIR Human Factors
                JMIR Publications (Toronto, Canada )
                2292-9495
                2023
                26 July 2023
                : 10
                : e42768
                Affiliations
                [1 ] Takeda Pharmaceuticals U.S.A., Inc. Lexington, MA United States
                [2 ] Advocate Aurora Research Institute Advocate Health Care Downers Grove, IL United States
                [3 ] Cognition Kit Cambridge United Kingdom
                [4 ] Ctrl Group / Fora Health London United Kingdom
                [5 ] Advocate Aurora Health Downers Grove, IL United States
                Author notes
                Corresponding Author: Chris Blair Chris.Blair@ 123456takeda.com
                Author information
                https://orcid.org/0000-0003-1953-1795
                https://orcid.org/0000-0002-8046-9559
                https://orcid.org/0000-0002-4712-4372
                https://orcid.org/0000-0001-7594-8523
                https://orcid.org/0000-0002-5371-2154
                https://orcid.org/0000-0001-9969-9541
                https://orcid.org/0000-0002-1237-7118
                https://orcid.org/0000-0002-7050-4410
                https://orcid.org/0000-0001-7822-9364
                https://orcid.org/0000-0002-1880-8898
                https://orcid.org/0000-0003-2653-5663
                Article
                v10i1e42768
                10.2196/42768
                10413250
                37494099
                8534eb5d-f7cd-4461-917f-d322d009bc35
                ©Maggie McCue, Rasha Khatib, Christopher Kabir, Chris Blair, Ben Fehnert, James King, Alexander Spalding, Lara Zaki, Lambros Chrones, Anit Roy, David E Kemp. Originally published in JMIR Human Factors (https://humanfactors.jmir.org), 26.07.2023.

                This is an open-access article distributed under the terms of the Creative Commons Attribution License ( https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIR Human Factors, is properly cited. The complete bibliographic information, a link to the original publication on https://humanfactors.jmir.org, as well as this copyright and license information must be included.

                History
                : 20 September 2022
                : 20 November 2022
                : 10 May 2023
                : 25 May 2023
                Categories
                Original Paper
                Original Paper

                depression,major depressive disorder,depression management,patient engagement,user-centered design,mobile app,digital platform,qualitative research,shared decision-making,measurement-based care,mobile phone

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