Cargando…
User-Centered Design of a Digitally Enabled Care Pathway in a Large Health System: Qualitative Interview Study
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 underst...
Autores principales: | , , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
JMIR Publications
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10413250/ https://www.ncbi.nlm.nih.gov/pubmed/37494099 http://dx.doi.org/10.2196/42768 |
_version_ | 1785087094214885376 |
---|---|
author | McCue, Maggie Khatib, Rasha Kabir, Christopher Blair, Chris Fehnert, Ben King, James Spalding, Alexander Zaki, Lara Chrones, Lambros Roy, Anit Kemp, David E |
author_facet | McCue, Maggie Khatib, Rasha Kabir, Christopher Blair, Chris Fehnert, Ben King, James Spalding, Alexander Zaki, Lara Chrones, Lambros Roy, Anit Kemp, David E |
author_sort | McCue, Maggie |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-10413250 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | JMIR Publications |
record_format | MEDLINE/PubMed |
spelling | pubmed-104132502023-08-11 User-Centered Design of a Digitally Enabled Care Pathway in a Large Health System: Qualitative Interview Study McCue, Maggie Khatib, Rasha Kabir, Christopher Blair, Chris Fehnert, Ben King, James Spalding, Alexander Zaki, Lara Chrones, Lambros Roy, Anit Kemp, David E JMIR Hum Factors Original Paper 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. JMIR Publications 2023-07-26 /pmc/articles/PMC10413250/ /pubmed/37494099 http://dx.doi.org/10.2196/42768 Text en ©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. https://creativecommons.org/licenses/by/4.0/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. |
spellingShingle | Original Paper McCue, Maggie Khatib, Rasha Kabir, Christopher Blair, Chris Fehnert, Ben King, James Spalding, Alexander Zaki, Lara Chrones, Lambros Roy, Anit Kemp, David E User-Centered Design of a Digitally Enabled Care Pathway in a Large Health System: Qualitative Interview Study |
title | User-Centered Design of a Digitally Enabled Care Pathway in a Large Health System: Qualitative Interview Study |
title_full | User-Centered Design of a Digitally Enabled Care Pathway in a Large Health System: Qualitative Interview Study |
title_fullStr | User-Centered Design of a Digitally Enabled Care Pathway in a Large Health System: Qualitative Interview Study |
title_full_unstemmed | User-Centered Design of a Digitally Enabled Care Pathway in a Large Health System: Qualitative Interview Study |
title_short | User-Centered Design of a Digitally Enabled Care Pathway in a Large Health System: Qualitative Interview Study |
title_sort | user-centered design of a digitally enabled care pathway in a large health system: qualitative interview study |
topic | Original Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10413250/ https://www.ncbi.nlm.nih.gov/pubmed/37494099 http://dx.doi.org/10.2196/42768 |
work_keys_str_mv | AT mccuemaggie usercentereddesignofadigitallyenabledcarepathwayinalargehealthsystemqualitativeinterviewstudy AT khatibrasha usercentereddesignofadigitallyenabledcarepathwayinalargehealthsystemqualitativeinterviewstudy AT kabirchristopher usercentereddesignofadigitallyenabledcarepathwayinalargehealthsystemqualitativeinterviewstudy AT blairchris usercentereddesignofadigitallyenabledcarepathwayinalargehealthsystemqualitativeinterviewstudy AT fehnertben usercentereddesignofadigitallyenabledcarepathwayinalargehealthsystemqualitativeinterviewstudy AT kingjames usercentereddesignofadigitallyenabledcarepathwayinalargehealthsystemqualitativeinterviewstudy AT spaldingalexander usercentereddesignofadigitallyenabledcarepathwayinalargehealthsystemqualitativeinterviewstudy AT zakilara usercentereddesignofadigitallyenabledcarepathwayinalargehealthsystemqualitativeinterviewstudy AT chroneslambros usercentereddesignofadigitallyenabledcarepathwayinalargehealthsystemqualitativeinterviewstudy AT royanit usercentereddesignofadigitallyenabledcarepathwayinalargehealthsystemqualitativeinterviewstudy AT kempdavide usercentereddesignofadigitallyenabledcarepathwayinalargehealthsystemqualitativeinterviewstudy |