Uptake and Scalability of a Peritoneal Dialysis Virtual Care Solution: Qualitative Study.
chronic kidney disease
patient-centric care
peritoneal dialysis
qualitative research
virtual care solutions
Journal
JMIR human factors
ISSN: 2292-9495
Titre abrégé: JMIR Hum Factors
Pays: Canada
ID NLM: 101666561
Informations de publication
Date de publication:
16 Apr 2019
16 Apr 2019
Historique:
received:
27
12
2017
accepted:
06
01
2019
revised:
29
11
2018
entrez:
17
4
2019
pubmed:
17
4
2019
medline:
17
4
2019
Statut:
epublish
Résumé
Early research in the area of virtual care solutions with peritoneal dialysis (PD) patients has focused on evaluating the outcomes and impact of these solutions. There has been less attention focused on understanding the factors influencing the uptake, usability, and scalability of virtual care for chronic kidney disease (CKD) patients receiving PD at home. In this context, a study was undertaken to (1) assess and understand the factors influencing the uptake of a virtual care solution and (2) provide recommendations for the scalability of a virtual care solution aimed at enhancing CKD patients' outcomes and experiences. This study used a qualitative design with semistructured interviews and a thematic analysis approach. A total of 25 stakeholders-6 patients and 3 caregivers, 6 health care providers, 2 vendors, and 8 health system decision makers-participated in this study. The following three primary mechanisms emerged to influence the usability of the virtual care solution: (1) receiving hands-on training and ongoing communication from a supportive team, (2) adapting to meet user needs and embedding them into workflow, and (3) being influenced by patient and caregiver characteristics. Further, two overarching recommendations were developed for considerations around scalability: (1) co-design locally, embed into the daily workflow, and deploy over time and (2) share the benefits and build the case. Study findings can be used by key stakeholders in their future efforts to enhance the implementation, uptake, and scalability of virtual care solutions for CKD and managing PD at home.
Sections du résumé
BACKGROUND
BACKGROUND
Early research in the area of virtual care solutions with peritoneal dialysis (PD) patients has focused on evaluating the outcomes and impact of these solutions. There has been less attention focused on understanding the factors influencing the uptake, usability, and scalability of virtual care for chronic kidney disease (CKD) patients receiving PD at home.
OBJECTIVE
OBJECTIVE
In this context, a study was undertaken to (1) assess and understand the factors influencing the uptake of a virtual care solution and (2) provide recommendations for the scalability of a virtual care solution aimed at enhancing CKD patients' outcomes and experiences.
METHODS
METHODS
This study used a qualitative design with semistructured interviews and a thematic analysis approach. A total of 25 stakeholders-6 patients and 3 caregivers, 6 health care providers, 2 vendors, and 8 health system decision makers-participated in this study.
RESULTS
RESULTS
The following three primary mechanisms emerged to influence the usability of the virtual care solution: (1) receiving hands-on training and ongoing communication from a supportive team, (2) adapting to meet user needs and embedding them into workflow, and (3) being influenced by patient and caregiver characteristics. Further, two overarching recommendations were developed for considerations around scalability: (1) co-design locally, embed into the daily workflow, and deploy over time and (2) share the benefits and build the case.
CONCLUSIONS
CONCLUSIONS
Study findings can be used by key stakeholders in their future efforts to enhance the implementation, uptake, and scalability of virtual care solutions for CKD and managing PD at home.
Identifiants
pubmed: 30990460
pii: v6i2e9720
doi: 10.2196/humanfactors.9720
pmc: PMC6488957
doi:
Types de publication
Journal Article
Langues
eng
Pagination
e9720Informations de copyright
©Lianne Jeffs, Trevor Jamieson, Marianne Saragosa, Geetha Mukerji, Arsh K Jain, Rachel Man, Laura Desveaux, James Shaw, Payal Agarwal, Jennifer M Hensel, Maria Maione, Nike Onabajo, Megan Nguyen, R Bhatia. Originally published in JMIR Human Factors (http://humanfactors.jmir.org), 16.04.2019.
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