Design and implementation of a digitally enabled care pathway to improve management of depression in a large health care system: Protocol for the implementation of a patient care platform
Background: Major depressive disorder (MDD) is a serious public health concern worldwide. A treatment approach that incorporates measurement-based care (MBC) and shared decision-making between patients with MDD and their providers may foster patient engagement and improve clinical outcomes. While di...
Published in: | JMIR Research Protocols |
---|---|
Main Authors: | , , , , , , , , , , , |
Format: | Text |
Language: | unknown |
Published: |
Advocate Aurora Health Institutional Repository
2023
|
Subjects: | |
Online Access: | https://institutionalrepository.aah.org/allother/561 https://doi.org/10.2196/43788 https://libkey.io/libraries/1712/10.2196/43788 |
id |
ftaurorahc:oai:institutionalrepository.aah.org:allother-1563 |
---|---|
record_format |
openpolar |
spelling |
ftaurorahc:oai:institutionalrepository.aah.org:allother-1563 2023-07-23T04:18:26+02:00 Design and implementation of a digitally enabled care pathway to improve management of depression in a large health care system: Protocol for the implementation of a patient care platform Khatib, Rasha McCue, Maggie Blair, Chris Roy, Anit Franco, John Fehnert, Ben King, James Sarkey, Sara Chrones, Lambros Martin, Michael Kabir, Christopher Kemp, David E 2023-06-23T07:00:00Z https://institutionalrepository.aah.org/allother/561 https://doi.org/10.2196/43788 https://libkey.io/libraries/1712/10.2196/43788 unknown Advocate Aurora Health Institutional Repository https://institutionalrepository.aah.org/allother/561 doi:10.2196/43788 https://libkey.io/libraries/1712/10.2196/43788 All Other Contributions adherence depression depression management depressive digital platform major depressive disorder measurement-based care mental health mobile app mobile health mobile phone patient engagement primary care shared decision-making user-centered design Advocate Aurora Research Institute Behavioral Health text 2023 ftaurorahc https://doi.org/10.2196/43788 2023-07-05T20:25:01Z Background: Major depressive disorder (MDD) is a serious public health concern worldwide. A treatment approach that incorporates measurement-based care (MBC) and shared decision-making between patients with MDD and their providers may foster patient engagement and improve clinical outcomes. While digital tools such as mobile apps show promise for expanding health interventions, these apps are rarely integrated into clinical practice. Objective: The primary objective of this ongoing study is to determine whether implementation of a digital tool-the Pathway Platform-in primary care improves adherence to MBC practices; here, we present the study methods. Methods: This large-scale, real-world implementation study is based on a pilot study of an earlier iteration of a mobile app (the Pathway app) that confirmed the feasibility of using the app in patients with MDD and showed a positive trend in patient engagement in the app arm. In addition, a user-centered design approach that included qualitative assessments from patients and providers was used to improve understanding of the patient journey and care team workflows. User feedback highlighted the need for enhanced features, education modules, and real-time data sharing via integration with the electronic health record. The current iteration of the Platform includes the newest version of the Pathway app, education modules for both patients and providers, and real-time patient-level data sharing with the electronic health record. The study takes place in primary care sites within the Advocate Aurora Health system in Illinois and includes adult patients with MDD who were recently prescribed monotherapy antidepressant medication (defined as a new start, medication switch, or dose change in the past 3 months). Clinical performance and selected patient outcomes will be compared before and after the implementation of the Platform. Results: Patient recruitment was completed in July 2022, with initial results expected in mid-2023. Conclusions: This study will provide useful ... Text Aurora Research Institute Aurora Health Care Digital Repository JMIR Research Protocols 12 e43788 |
institution |
Open Polar |
collection |
Aurora Health Care Digital Repository |
op_collection_id |
ftaurorahc |
language |
unknown |
topic |
adherence depression depression management depressive digital platform major depressive disorder measurement-based care mental health mobile app mobile health mobile phone patient engagement primary care shared decision-making user-centered design Advocate Aurora Research Institute Behavioral Health |
spellingShingle |
adherence depression depression management depressive digital platform major depressive disorder measurement-based care mental health mobile app mobile health mobile phone patient engagement primary care shared decision-making user-centered design Advocate Aurora Research Institute Behavioral Health Khatib, Rasha McCue, Maggie Blair, Chris Roy, Anit Franco, John Fehnert, Ben King, James Sarkey, Sara Chrones, Lambros Martin, Michael Kabir, Christopher Kemp, David E Design and implementation of a digitally enabled care pathway to improve management of depression in a large health care system: Protocol for the implementation of a patient care platform |
topic_facet |
adherence depression depression management depressive digital platform major depressive disorder measurement-based care mental health mobile app mobile health mobile phone patient engagement primary care shared decision-making user-centered design Advocate Aurora Research Institute Behavioral Health |
description |
Background: Major depressive disorder (MDD) is a serious public health concern worldwide. A treatment approach that incorporates measurement-based care (MBC) and shared decision-making between patients with MDD and their providers may foster patient engagement and improve clinical outcomes. While digital tools such as mobile apps show promise for expanding health interventions, these apps are rarely integrated into clinical practice. Objective: The primary objective of this ongoing study is to determine whether implementation of a digital tool-the Pathway Platform-in primary care improves adherence to MBC practices; here, we present the study methods. Methods: This large-scale, real-world implementation study is based on a pilot study of an earlier iteration of a mobile app (the Pathway app) that confirmed the feasibility of using the app in patients with MDD and showed a positive trend in patient engagement in the app arm. In addition, a user-centered design approach that included qualitative assessments from patients and providers was used to improve understanding of the patient journey and care team workflows. User feedback highlighted the need for enhanced features, education modules, and real-time data sharing via integration with the electronic health record. The current iteration of the Platform includes the newest version of the Pathway app, education modules for both patients and providers, and real-time patient-level data sharing with the electronic health record. The study takes place in primary care sites within the Advocate Aurora Health system in Illinois and includes adult patients with MDD who were recently prescribed monotherapy antidepressant medication (defined as a new start, medication switch, or dose change in the past 3 months). Clinical performance and selected patient outcomes will be compared before and after the implementation of the Platform. Results: Patient recruitment was completed in July 2022, with initial results expected in mid-2023. Conclusions: This study will provide useful ... |
format |
Text |
author |
Khatib, Rasha McCue, Maggie Blair, Chris Roy, Anit Franco, John Fehnert, Ben King, James Sarkey, Sara Chrones, Lambros Martin, Michael Kabir, Christopher Kemp, David E |
author_facet |
Khatib, Rasha McCue, Maggie Blair, Chris Roy, Anit Franco, John Fehnert, Ben King, James Sarkey, Sara Chrones, Lambros Martin, Michael Kabir, Christopher Kemp, David E |
author_sort |
Khatib, Rasha |
title |
Design and implementation of a digitally enabled care pathway to improve management of depression in a large health care system: Protocol for the implementation of a patient care platform |
title_short |
Design and implementation of a digitally enabled care pathway to improve management of depression in a large health care system: Protocol for the implementation of a patient care platform |
title_full |
Design and implementation of a digitally enabled care pathway to improve management of depression in a large health care system: Protocol for the implementation of a patient care platform |
title_fullStr |
Design and implementation of a digitally enabled care pathway to improve management of depression in a large health care system: Protocol for the implementation of a patient care platform |
title_full_unstemmed |
Design and implementation of a digitally enabled care pathway to improve management of depression in a large health care system: Protocol for the implementation of a patient care platform |
title_sort |
design and implementation of a digitally enabled care pathway to improve management of depression in a large health care system: protocol for the implementation of a patient care platform |
publisher |
Advocate Aurora Health Institutional Repository |
publishDate |
2023 |
url |
https://institutionalrepository.aah.org/allother/561 https://doi.org/10.2196/43788 https://libkey.io/libraries/1712/10.2196/43788 |
genre |
Aurora Research Institute |
genre_facet |
Aurora Research Institute |
op_source |
All Other Contributions |
op_relation |
https://institutionalrepository.aah.org/allother/561 doi:10.2196/43788 https://libkey.io/libraries/1712/10.2196/43788 |
op_doi |
https://doi.org/10.2196/43788 |
container_title |
JMIR Research Protocols |
container_volume |
12 |
container_start_page |
e43788 |
_version_ |
1772180755963707392 |