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Normalizing Telemonitoring in Nurse-Led Care Models for Complex Chronic Patient Populations: Case Study

BACKGROUND: The implementation of telemonitoring (TM) has been successful in terms of the overall feasibility and adoption in single disease care models. However, a lack of available research focused on nurse-led implementations of TM that targets patients with multiple and complex chronic condition...

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Autores principales: Gordon, Kayleigh, Dainty, Katie N, Steele Gray, Carolyn, DeLacy, Jane, Shah, Amika, Seto, Emily
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9100369/
https://www.ncbi.nlm.nih.gov/pubmed/35482375
http://dx.doi.org/10.2196/36346
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author Gordon, Kayleigh
Dainty, Katie N
Steele Gray, Carolyn
DeLacy, Jane
Shah, Amika
Seto, Emily
author_facet Gordon, Kayleigh
Dainty, Katie N
Steele Gray, Carolyn
DeLacy, Jane
Shah, Amika
Seto, Emily
author_sort Gordon, Kayleigh
collection PubMed
description BACKGROUND: The implementation of telemonitoring (TM) has been successful in terms of the overall feasibility and adoption in single disease care models. However, a lack of available research focused on nurse-led implementations of TM that targets patients with multiple and complex chronic conditions (CCC) hinders the scale and spread to these patient populations. In particular, little is known about the clinical perspective on the implementation of TM for patients with CCC in outpatient care. OBJECTIVE: This study aims to better understand the perspective of the clinical team (both frontline clinicians and those in administrative positions) on the implementation and normalization of TM for complex patients in a nurse-led clinic model. METHODS: A pragmatic, 6-month implementation study was conducted to embed multicondition TM, including heart failure, hypertension, and diabetes, into an integrated nurse-led model of care. Throughout the study, clinical team members were observed, and a chart review was conducted of the care provided during this time. At the end of the study, clinical team members participated in qualitative interviews and completed the adapted Normalization Measure Development questionnaires. The Normalization Process Theory guided the deductive data analysis. RESULTS: Overall, 9 team members participated in the study as part of a larger feasibility study of the TM program, of which 26 patients were enrolled. Team members had a shared understanding of the purpose and value of TM as an intervention embedded within their practice to meet the diverse needs of their patients with CCC. TM aligned well with existing chronic care practices in several ways, yet it changed the process of care delivery (ie, interactional workability subconstruct). Effective TM normalization in nurse-led care requires rethinking of clinical workflows to incorporate TM, relationship development between the clinicians and their patients, communication with the interdisciplinary team, and frequent clinical care oversight. This was captured well through the subconstructs of skill set workability, relational integration, and contextual integration of the Normalization Process Theory. CONCLUSIONS: Clinicians successfully adopted TM into their everyday practice such that some providers felt their role would be significantly and negatively affected without TM. This study demonstrated that smartphone-based TM systems complemented the routine and challenging clinical work caring for patients with CCC in an integrated nurse-led care model.
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spelling pubmed-91003692022-05-14 Normalizing Telemonitoring in Nurse-Led Care Models for Complex Chronic Patient Populations: Case Study Gordon, Kayleigh Dainty, Katie N Steele Gray, Carolyn DeLacy, Jane Shah, Amika Seto, Emily JMIR Nurs Original Paper BACKGROUND: The implementation of telemonitoring (TM) has been successful in terms of the overall feasibility and adoption in single disease care models. However, a lack of available research focused on nurse-led implementations of TM that targets patients with multiple and complex chronic conditions (CCC) hinders the scale and spread to these patient populations. In particular, little is known about the clinical perspective on the implementation of TM for patients with CCC in outpatient care. OBJECTIVE: This study aims to better understand the perspective of the clinical team (both frontline clinicians and those in administrative positions) on the implementation and normalization of TM for complex patients in a nurse-led clinic model. METHODS: A pragmatic, 6-month implementation study was conducted to embed multicondition TM, including heart failure, hypertension, and diabetes, into an integrated nurse-led model of care. Throughout the study, clinical team members were observed, and a chart review was conducted of the care provided during this time. At the end of the study, clinical team members participated in qualitative interviews and completed the adapted Normalization Measure Development questionnaires. The Normalization Process Theory guided the deductive data analysis. RESULTS: Overall, 9 team members participated in the study as part of a larger feasibility study of the TM program, of which 26 patients were enrolled. Team members had a shared understanding of the purpose and value of TM as an intervention embedded within their practice to meet the diverse needs of their patients with CCC. TM aligned well with existing chronic care practices in several ways, yet it changed the process of care delivery (ie, interactional workability subconstruct). Effective TM normalization in nurse-led care requires rethinking of clinical workflows to incorporate TM, relationship development between the clinicians and their patients, communication with the interdisciplinary team, and frequent clinical care oversight. This was captured well through the subconstructs of skill set workability, relational integration, and contextual integration of the Normalization Process Theory. CONCLUSIONS: Clinicians successfully adopted TM into their everyday practice such that some providers felt their role would be significantly and negatively affected without TM. This study demonstrated that smartphone-based TM systems complemented the routine and challenging clinical work caring for patients with CCC in an integrated nurse-led care model. JMIR Publications 2022-04-28 /pmc/articles/PMC9100369/ /pubmed/35482375 http://dx.doi.org/10.2196/36346 Text en ©Kayleigh Gordon, Katie N Dainty, Carolyn Steele Gray, Jane DeLacy, Amika Shah, Emily Seto. Originally published in JMIR Nursing (https://nursing.jmir.org), 28.04.2022. 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 Nursing, is properly cited. The complete bibliographic information, a link to the original publication on https://nursing.jmir.org/, as well as this copyright and license information must be included.
spellingShingle Original Paper
Gordon, Kayleigh
Dainty, Katie N
Steele Gray, Carolyn
DeLacy, Jane
Shah, Amika
Seto, Emily
Normalizing Telemonitoring in Nurse-Led Care Models for Complex Chronic Patient Populations: Case Study
title Normalizing Telemonitoring in Nurse-Led Care Models for Complex Chronic Patient Populations: Case Study
title_full Normalizing Telemonitoring in Nurse-Led Care Models for Complex Chronic Patient Populations: Case Study
title_fullStr Normalizing Telemonitoring in Nurse-Led Care Models for Complex Chronic Patient Populations: Case Study
title_full_unstemmed Normalizing Telemonitoring in Nurse-Led Care Models for Complex Chronic Patient Populations: Case Study
title_short Normalizing Telemonitoring in Nurse-Led Care Models for Complex Chronic Patient Populations: Case Study
title_sort normalizing telemonitoring in nurse-led care models for complex chronic patient populations: case study
topic Original Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9100369/
https://www.ncbi.nlm.nih.gov/pubmed/35482375
http://dx.doi.org/10.2196/36346
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