Secondary care provider attitudes towards patient generated health data from smartwatches
Abstract Wearable devices, like smartwatches, are increasingly used for tracking physical activity, community mobility, and monitoring symptoms. Data generated from smartwatches (PGHD_SW) is a form of patient-generated health data, which can benefit providers by supplying frequent temporal informati...
Guardado en:
Autores principales: | , , , , , , |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
Nature Portfolio
2020
|
Materias: | |
Acceso en línea: | https://doaj.org/article/a0b2a08390a5488181f30d918a975981 |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
id |
oai:doaj.org-article:a0b2a08390a5488181f30d918a975981 |
---|---|
record_format |
dspace |
spelling |
oai:doaj.org-article:a0b2a08390a5488181f30d918a9759812021-12-02T13:20:05ZSecondary care provider attitudes towards patient generated health data from smartwatches10.1038/s41746-020-0236-42398-6352https://doaj.org/article/a0b2a08390a5488181f30d918a9759812020-03-01T00:00:00Zhttps://doi.org/10.1038/s41746-020-0236-4https://doaj.org/toc/2398-6352Abstract Wearable devices, like smartwatches, are increasingly used for tracking physical activity, community mobility, and monitoring symptoms. Data generated from smartwatches (PGHD_SW) is a form of patient-generated health data, which can benefit providers by supplying frequent temporal information about patients. The goal of this study was to understand providers’ perceptions towards PGHD_SW adoption and its integration with electronic medical records. In-depth, semi-structured qualitative interviews were conducted with 12 providers from internal medicine, family medicine, geriatric medicine, nursing, surgery, rehabilitation, and anesthesiology. Diffusion of Innovations was used as a framework to develop questions and guide data analysis. The constant comparative method was utilized to formulate salient themes from the interviews. Four main themes emerged: (1) PGHD_SW is perceived as a relative advantage; (2) data are viewed as compatible with current practices; (3) barriers to overcome to effectively use PGHD_SW; (4) assessments from viewing sample data. Overall, PGHD_SW was valued because it enabled access to information about patients that were traditionally unattainable. It also can initiate discussions between patients and providers. Providers consider PGHD_SW important, but data preferences varied by specialty. The successful adoption of PGHD_SW will depend on tailoring data, frequencies of reports, and visualization preferences to correspond with the demands of providers.Jordan M. AlpertTodd ManiniMegan RobertsNaga S. Prabhakar KotaTonatiuh V. MendozaLaurence M. SolbergParisa RashidiNature PortfolioarticleComputer applications to medicine. Medical informaticsR858-859.7ENnpj Digital Medicine, Vol 3, Iss 1, Pp 1-7 (2020) |
institution |
DOAJ |
collection |
DOAJ |
language |
EN |
topic |
Computer applications to medicine. Medical informatics R858-859.7 |
spellingShingle |
Computer applications to medicine. Medical informatics R858-859.7 Jordan M. Alpert Todd Manini Megan Roberts Naga S. Prabhakar Kota Tonatiuh V. Mendoza Laurence M. Solberg Parisa Rashidi Secondary care provider attitudes towards patient generated health data from smartwatches |
description |
Abstract Wearable devices, like smartwatches, are increasingly used for tracking physical activity, community mobility, and monitoring symptoms. Data generated from smartwatches (PGHD_SW) is a form of patient-generated health data, which can benefit providers by supplying frequent temporal information about patients. The goal of this study was to understand providers’ perceptions towards PGHD_SW adoption and its integration with electronic medical records. In-depth, semi-structured qualitative interviews were conducted with 12 providers from internal medicine, family medicine, geriatric medicine, nursing, surgery, rehabilitation, and anesthesiology. Diffusion of Innovations was used as a framework to develop questions and guide data analysis. The constant comparative method was utilized to formulate salient themes from the interviews. Four main themes emerged: (1) PGHD_SW is perceived as a relative advantage; (2) data are viewed as compatible with current practices; (3) barriers to overcome to effectively use PGHD_SW; (4) assessments from viewing sample data. Overall, PGHD_SW was valued because it enabled access to information about patients that were traditionally unattainable. It also can initiate discussions between patients and providers. Providers consider PGHD_SW important, but data preferences varied by specialty. The successful adoption of PGHD_SW will depend on tailoring data, frequencies of reports, and visualization preferences to correspond with the demands of providers. |
format |
article |
author |
Jordan M. Alpert Todd Manini Megan Roberts Naga S. Prabhakar Kota Tonatiuh V. Mendoza Laurence M. Solberg Parisa Rashidi |
author_facet |
Jordan M. Alpert Todd Manini Megan Roberts Naga S. Prabhakar Kota Tonatiuh V. Mendoza Laurence M. Solberg Parisa Rashidi |
author_sort |
Jordan M. Alpert |
title |
Secondary care provider attitudes towards patient generated health data from smartwatches |
title_short |
Secondary care provider attitudes towards patient generated health data from smartwatches |
title_full |
Secondary care provider attitudes towards patient generated health data from smartwatches |
title_fullStr |
Secondary care provider attitudes towards patient generated health data from smartwatches |
title_full_unstemmed |
Secondary care provider attitudes towards patient generated health data from smartwatches |
title_sort |
secondary care provider attitudes towards patient generated health data from smartwatches |
publisher |
Nature Portfolio |
publishDate |
2020 |
url |
https://doaj.org/article/a0b2a08390a5488181f30d918a975981 |
work_keys_str_mv |
AT jordanmalpert secondarycareproviderattitudestowardspatientgeneratedhealthdatafromsmartwatches AT toddmanini secondarycareproviderattitudestowardspatientgeneratedhealthdatafromsmartwatches AT meganroberts secondarycareproviderattitudestowardspatientgeneratedhealthdatafromsmartwatches AT nagasprabhakarkota secondarycareproviderattitudestowardspatientgeneratedhealthdatafromsmartwatches AT tonatiuhvmendoza secondarycareproviderattitudestowardspatientgeneratedhealthdatafromsmartwatches AT laurencemsolberg secondarycareproviderattitudestowardspatientgeneratedhealthdatafromsmartwatches AT parisarashidi secondarycareproviderattitudestowardspatientgeneratedhealthdatafromsmartwatches |
_version_ |
1718393229513064448 |