Using Implementation Science to Guide the Process of Adapting a Patient Engagement Intervention for Inpatient Spinal Cord Injury/Disorder Rehabilitation. Walsh, R. J., McKay, V. R., Hansen, P. E., Barco, P. P., Jones, K., Lee, Y., Patel, R. D., Chen, D., Heinemann, A. W., Lenze, E. J., & Wong, A. W. K. Archives of Physical Medicine and Rehabilitation, 103(11):2180–2188, November, 2022. Paper doi abstract bibtex Objectives This study aimed to describe the process of adapting an evidence-based patient engagement intervention, enhanced medical rehabilitation (E-MR), for inpatient spinal cord injury/disease (SCI/D) rehabilitation using an implementation science framework. Design We applied the collaborative intervention planning framework and included a community advisory board (CAB) in an intervention mapping process. Setting A rehabilitation hospital. Participants Stakeholders from inpatient SCI/D rehabilitation (N=7) serving as a CAB and working with the research team (N=7) to co-adapt E-MR. Interventions E-MR. Main Outcome Measures Logic model and matrices of change used in CAB meetings to identify areas of intervention adaptation. Results The CAB and research team implemented adaptations to E-MR, including (1) identifying factors influencing patient engagement in SCI/D rehabilitation (eg, therapist training); (2) revising intervention materials to meet SCI/D rehabilitation needs (eg, modified personal goals interview and therapy trackers to match SCI needs); (3) incorporating E-MR into the rehabilitation hospital's operations (eg, research team coordinated with CAB to store therapy trackers in the hospital system); and (4) retaining fidelity to the original intervention while best meeting the needs of SCI/D rehabilitation (eg, maintained core E-MR principles while adapting). Conclusions This study demonstrated that structured processes guided by an implementation science framework can help researchers and clinicians identify adaptation targets and modify the E-MR program for inpatient SCI/D rehabilitation.
@article{walsh_using_2022,
title = {Using {Implementation} {Science} to {Guide} the {Process} of {Adapting} a {Patient} {Engagement} {Intervention} for {Inpatient} {Spinal} {Cord} {Injury}/{Disorder} {Rehabilitation}},
volume = {103},
issn = {0003-9993},
url = {https://www.sciencedirect.com/science/article/pii/S0003999322004002},
doi = {10.1016/j.apmr.2022.04.010},
abstract = {Objectives
This study aimed to describe the process of adapting an evidence-based patient engagement intervention, enhanced medical rehabilitation (E-MR), for inpatient spinal cord injury/disease (SCI/D) rehabilitation using an implementation science framework.
Design
We applied the collaborative intervention planning framework and included a community advisory board (CAB) in an intervention mapping process.
Setting
A rehabilitation hospital.
Participants
Stakeholders from inpatient SCI/D rehabilitation (N=7) serving as a CAB and working with the research team (N=7) to co-adapt E-MR.
Interventions
E-MR.
Main Outcome Measures
Logic model and matrices of change used in CAB meetings to identify areas of intervention adaptation.
Results
The CAB and research team implemented adaptations to E-MR, including (1) identifying factors influencing patient engagement in SCI/D rehabilitation (eg, therapist training); (2) revising intervention materials to meet SCI/D rehabilitation needs (eg, modified personal goals interview and therapy trackers to match SCI needs); (3) incorporating E-MR into the rehabilitation hospital's operations (eg, research team coordinated with CAB to store therapy trackers in the hospital system); and (4) retaining fidelity to the original intervention while best meeting the needs of SCI/D rehabilitation (eg, maintained core E-MR principles while adapting).
Conclusions
This study demonstrated that structured processes guided by an implementation science framework can help researchers and clinicians identify adaptation targets and modify the E-MR program for inpatient SCI/D rehabilitation.},
language = {en},
number = {11},
urldate = {2022-12-14},
journal = {Archives of Physical Medicine and Rehabilitation},
author = {Walsh, Ryan J. and McKay, Virginia R. and Hansen, Piper E. and Barco, Peggy P. and Jones, Kayla and Lee, Yejin and Patel, Riddhi D. and Chen, David and Heinemann, Allen W. and Lenze, Eric J. and Wong, Alex W. K.},
month = nov,
year = {2022},
pages = {2180--2188},
file = {ScienceDirect Full Text PDF:/Users/jd/Zotero/storage/G35F6IIF/Walsh et al. - 2022 - Using Implementation Science to Guide the Process .pdf:application/pdf;ScienceDirect Snapshot:/Users/jd/Zotero/storage/GDDN2KTZ/S0003999322004002.html:text/html},
}
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K."],"bibdata":{"bibtype":"article","type":"article","title":"Using Implementation Science to Guide the Process of Adapting a Patient Engagement Intervention for Inpatient Spinal Cord Injury/Disorder Rehabilitation","volume":"103","issn":"0003-9993","url":"https://www.sciencedirect.com/science/article/pii/S0003999322004002","doi":"10.1016/j.apmr.2022.04.010","abstract":"Objectives This study aimed to describe the process of adapting an evidence-based patient engagement intervention, enhanced medical rehabilitation (E-MR), for inpatient spinal cord injury/disease (SCI/D) rehabilitation using an implementation science framework. Design We applied the collaborative intervention planning framework and included a community advisory board (CAB) in an intervention mapping process. Setting A rehabilitation hospital. Participants Stakeholders from inpatient SCI/D rehabilitation (N=7) serving as a CAB and working with the research team (N=7) to co-adapt E-MR. Interventions E-MR. Main Outcome Measures Logic model and matrices of change used in CAB meetings to identify areas of intervention adaptation. Results The CAB and research team implemented adaptations to E-MR, including (1) identifying factors influencing patient engagement in SCI/D rehabilitation (eg, therapist training); (2) revising intervention materials to meet SCI/D rehabilitation needs (eg, modified personal goals interview and therapy trackers to match SCI needs); (3) incorporating E-MR into the rehabilitation hospital's operations (eg, research team coordinated with CAB to store therapy trackers in the hospital system); and (4) retaining fidelity to the original intervention while best meeting the needs of SCI/D rehabilitation (eg, maintained core E-MR principles while adapting). Conclusions This study demonstrated that structured processes guided by an implementation science framework can help researchers and clinicians identify adaptation targets and modify the E-MR program for inpatient SCI/D rehabilitation.","language":"en","number":"11","urldate":"2022-12-14","journal":"Archives of Physical Medicine and Rehabilitation","author":[{"propositions":[],"lastnames":["Walsh"],"firstnames":["Ryan","J."],"suffixes":[]},{"propositions":[],"lastnames":["McKay"],"firstnames":["Virginia","R."],"suffixes":[]},{"propositions":[],"lastnames":["Hansen"],"firstnames":["Piper","E."],"suffixes":[]},{"propositions":[],"lastnames":["Barco"],"firstnames":["Peggy","P."],"suffixes":[]},{"propositions":[],"lastnames":["Jones"],"firstnames":["Kayla"],"suffixes":[]},{"propositions":[],"lastnames":["Lee"],"firstnames":["Yejin"],"suffixes":[]},{"propositions":[],"lastnames":["Patel"],"firstnames":["Riddhi","D."],"suffixes":[]},{"propositions":[],"lastnames":["Chen"],"firstnames":["David"],"suffixes":[]},{"propositions":[],"lastnames":["Heinemann"],"firstnames":["Allen","W."],"suffixes":[]},{"propositions":[],"lastnames":["Lenze"],"firstnames":["Eric","J."],"suffixes":[]},{"propositions":[],"lastnames":["Wong"],"firstnames":["Alex","W.","K."],"suffixes":[]}],"month":"November","year":"2022","pages":"2180–2188","file":"ScienceDirect Full Text PDF:/Users/jd/Zotero/storage/G35F6IIF/Walsh et al. - 2022 - Using Implementation Science to Guide the Process .pdf:application/pdf;ScienceDirect Snapshot:/Users/jd/Zotero/storage/GDDN2KTZ/S0003999322004002.html:text/html","bibtex":"@article{walsh_using_2022,\n\ttitle = {Using {Implementation} {Science} to {Guide} the {Process} of {Adapting} a {Patient} {Engagement} {Intervention} for {Inpatient} {Spinal} {Cord} {Injury}/{Disorder} {Rehabilitation}},\n\tvolume = {103},\n\tissn = {0003-9993},\n\turl = {https://www.sciencedirect.com/science/article/pii/S0003999322004002},\n\tdoi = {10.1016/j.apmr.2022.04.010},\n\tabstract = {Objectives\nThis study aimed to describe the process of adapting an evidence-based patient engagement intervention, enhanced medical rehabilitation (E-MR), for inpatient spinal cord injury/disease (SCI/D) rehabilitation using an implementation science framework.\nDesign\nWe applied the collaborative intervention planning framework and included a community advisory board (CAB) in an intervention mapping process.\nSetting\nA rehabilitation hospital.\nParticipants\nStakeholders from inpatient SCI/D rehabilitation (N=7) serving as a CAB and working with the research team (N=7) to co-adapt E-MR.\nInterventions\nE-MR.\nMain Outcome Measures\nLogic model and matrices of change used in CAB meetings to identify areas of intervention adaptation.\nResults\nThe CAB and research team implemented adaptations to E-MR, including (1) identifying factors influencing patient engagement in SCI/D rehabilitation (eg, therapist training); (2) revising intervention materials to meet SCI/D rehabilitation needs (eg, modified personal goals interview and therapy trackers to match SCI needs); (3) incorporating E-MR into the rehabilitation hospital's operations (eg, research team coordinated with CAB to store therapy trackers in the hospital system); and (4) retaining fidelity to the original intervention while best meeting the needs of SCI/D rehabilitation (eg, maintained core E-MR principles while adapting).\nConclusions\nThis study demonstrated that structured processes guided by an implementation science framework can help researchers and clinicians identify adaptation targets and modify the E-MR program for inpatient SCI/D rehabilitation.},\n\tlanguage = {en},\n\tnumber = {11},\n\turldate = {2022-12-14},\n\tjournal = {Archives of Physical Medicine and Rehabilitation},\n\tauthor = {Walsh, Ryan J. and McKay, Virginia R. and Hansen, Piper E. and Barco, Peggy P. and Jones, Kayla and Lee, Yejin and Patel, Riddhi D. and Chen, David and Heinemann, Allen W. and Lenze, Eric J. and Wong, Alex W. 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