Using a Rapid Learning Health System for Stratified Care in Emerging Adult Mental Health Services: Protocol for the Implementation of Patient-Reported Outcome Measures.

RE-AIM Reach, Effectiveness, Adoption, Implementation, and Maintenance acceptability adult e-mental health emerging adults health system implementation implementation science learning health system measurement-based care mental health patient-reported outcome measures pragmatic clinical trials protocol papers stratified care treatment

Journal

JMIR research protocols
ISSN: 1929-0748
Titre abrégé: JMIR Res Protoc
Pays: Canada
ID NLM: 101599504

Informations de publication

Date de publication:
20 Mar 2024
Historique:
received: 12 08 2023
accepted: 09 02 2024
revised: 13 01 2024
medline: 20 3 2024
pubmed: 20 3 2024
entrez: 20 3 2024
Statut: epublish

Résumé

Mental illness among emerging adults is often difficult to ameliorate due to fluctuating symptoms and heterogeneity. Recently, innovative approaches have been developed to improve mental health care for emerging adults, including (1) implementing patient-reported outcome measures (PROMs) to assess illness severity and inform stratified care to assign emerging adults to a treatment modality commensurate with their level of impairment and (2) implementing a rapid learning health system in which data are continuously collected and analyzed to generate new insights, which are then translated to clinical practice, including collaboration among clients, health care providers, and researchers to co-design and coevaluate assessment and treatment strategies. The aim of the study is to determine the feasibility and acceptability of implementing a rapid learning health system to enable a measurement-based, stratified care treatment strategy for emerging adults. This study takes place at a specialty clinic serving emerging adults (age 16-24 years) in Calgary, Canada, and involves extensive collaboration among researchers, providers, and youth. The study design includes six phases: (1) developing a transdiagnostic platform for PROMs, (2) designing an initial stratified care model, (3) combining the implementation of PROMs with stratified care, (4) evaluating outcomes and disseminating results, (5) modification of stratified care based on data derived from PROMs, and (6) spread and scale to new sites. Qualitative and quantitative feedback will be collected from health care providers and youth throughout the implementation process. These data will be analyzed at regular intervals and used to modify the way future services are delivered. The RE-AIM (Reach, Effectiveness, Adoption, Implementation, and Maintenance) framework is used to organize and evaluate implementation according to 3 key objectives: improving treatment selection, reducing average wait time and treatment duration, and increasing the value of services. This project was funded through a program grant running from 2021 to 2026. Ethics approval for this study was received in February 2023. Presently, we have developed a system of PROMs and organized clinical services into strata of care. We will soon begin using PROMs to assign clients to a stratum of care and using feedback from youth and clinicians to understand how to improve experiences and outcomes. This study has key implications for researchers and clinicians looking to understand how to customize emerging adult mental health services to improve the quality of care and satisfaction with care. This study has significant implications for mental health care systems as part of a movement toward value-based health care. PRR1-10.2196/51667.

Sections du résumé

BACKGROUND BACKGROUND
Mental illness among emerging adults is often difficult to ameliorate due to fluctuating symptoms and heterogeneity. Recently, innovative approaches have been developed to improve mental health care for emerging adults, including (1) implementing patient-reported outcome measures (PROMs) to assess illness severity and inform stratified care to assign emerging adults to a treatment modality commensurate with their level of impairment and (2) implementing a rapid learning health system in which data are continuously collected and analyzed to generate new insights, which are then translated to clinical practice, including collaboration among clients, health care providers, and researchers to co-design and coevaluate assessment and treatment strategies.
OBJECTIVE OBJECTIVE
The aim of the study is to determine the feasibility and acceptability of implementing a rapid learning health system to enable a measurement-based, stratified care treatment strategy for emerging adults.
METHODS METHODS
This study takes place at a specialty clinic serving emerging adults (age 16-24 years) in Calgary, Canada, and involves extensive collaboration among researchers, providers, and youth. The study design includes six phases: (1) developing a transdiagnostic platform for PROMs, (2) designing an initial stratified care model, (3) combining the implementation of PROMs with stratified care, (4) evaluating outcomes and disseminating results, (5) modification of stratified care based on data derived from PROMs, and (6) spread and scale to new sites. Qualitative and quantitative feedback will be collected from health care providers and youth throughout the implementation process. These data will be analyzed at regular intervals and used to modify the way future services are delivered. The RE-AIM (Reach, Effectiveness, Adoption, Implementation, and Maintenance) framework is used to organize and evaluate implementation according to 3 key objectives: improving treatment selection, reducing average wait time and treatment duration, and increasing the value of services.
RESULTS RESULTS
This project was funded through a program grant running from 2021 to 2026. Ethics approval for this study was received in February 2023. Presently, we have developed a system of PROMs and organized clinical services into strata of care. We will soon begin using PROMs to assign clients to a stratum of care and using feedback from youth and clinicians to understand how to improve experiences and outcomes.
CONCLUSIONS CONCLUSIONS
This study has key implications for researchers and clinicians looking to understand how to customize emerging adult mental health services to improve the quality of care and satisfaction with care. This study has significant implications for mental health care systems as part of a movement toward value-based health care.
INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID) UNASSIGNED
PRR1-10.2196/51667.

Identifiants

pubmed: 38506921
pii: v13i1e51667
doi: 10.2196/51667
doi:

Types de publication

Journal Article

Langues

eng

Pagination

e51667

Informations de copyright

©Gina Dimitropoulos, David Lindenbach, Melissa Potestio, Tom Mogan, Amanda Richardson, Alida Anderson, Madison Heintz, Karen Moskovic, Jason Gondziola, Jessica Bradley, Haley M LaMonica, Frank Iorfino, Ian Hickie, Scott B Patten, Paul D Arnold. Originally published in JMIR Research Protocols (https://www.researchprotocols.org), 20.03.2024.

Auteurs

Gina Dimitropoulos (G)

Mathison Centre for Mental Health & Education, University of Calgary, Calgary, AB, Canada.
Faculty of Social Work, University of Calgary, Calgary, AB, Canada.

David Lindenbach (D)

Mathison Centre for Mental Health & Education, University of Calgary, Calgary, AB, Canada.

Melissa Potestio (M)

Alberta Health Services, Edmonton, AB, Canada.

Tom Mogan (T)

Alberta Health Services, Edmonton, AB, Canada.

Amanda Richardson (A)

Alberta Health Services, Edmonton, AB, Canada.

Alida Anderson (A)

Mathison Centre for Mental Health & Education, University of Calgary, Calgary, AB, Canada.

Madison Heintz (M)

Mathison Centre for Mental Health & Education, University of Calgary, Calgary, AB, Canada.

Karen Moskovic (K)

Alberta Health Services, Edmonton, AB, Canada.

Jason Gondziola (J)

Alberta Health Services, Edmonton, AB, Canada.

Jessica Bradley (J)

Alberta Health Services, Edmonton, AB, Canada.

Haley M LaMonica (HM)

Brain and Mind Centre, The University of Sydney, Sydney, Australia.

Frank Iorfino (F)

Brain and Mind Centre, The University of Sydney, Sydney, Australia.

Ian Hickie (I)

Brain and Mind Centre, The University of Sydney, Sydney, Australia.

Scott B Patten (SB)

Mathison Centre for Mental Health & Education, University of Calgary, Calgary, AB, Canada.
Department of Community Health Sciences, University of Calgary, Calgary, AB, Canada.

Paul D Arnold (PD)

Mathison Centre for Mental Health & Education, University of Calgary, Calgary, AB, Canada.

Classifications MeSH