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Development of a novel instrument to characterize telemedicine programs in primary care

BACKGROUND: Given the rapid deployment of telemedicine at the onset of the COVID - 19 pandemic, updated assessment methods are needed to study and characterize telemedicine programs. We developed a novel semi - structured survey instrument to systematically describe the characteristics and implement...

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Autores principales: Cho, Logan D., Rabinowitz, Grace, Goytia, Crispin, Andreadis, Katerina, Huang, Hsin - Hui, Benda, Natalie C., Lin, Jenny J., Horowitz, Carol, Kaushal, Rainu, Ancker, Jessica S., Poeran, Jashvant
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10657014/
https://www.ncbi.nlm.nih.gov/pubmed/37978511
http://dx.doi.org/10.1186/s12913-023-10130-5
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author Cho, Logan D.
Rabinowitz, Grace
Goytia, Crispin
Andreadis, Katerina
Huang, Hsin - Hui
Benda, Natalie C.
Lin, Jenny J.
Horowitz, Carol
Kaushal, Rainu
Ancker, Jessica S.
Poeran, Jashvant
author_facet Cho, Logan D.
Rabinowitz, Grace
Goytia, Crispin
Andreadis, Katerina
Huang, Hsin - Hui
Benda, Natalie C.
Lin, Jenny J.
Horowitz, Carol
Kaushal, Rainu
Ancker, Jessica S.
Poeran, Jashvant
author_sort Cho, Logan D.
collection PubMed
description BACKGROUND: Given the rapid deployment of telemedicine at the onset of the COVID - 19 pandemic, updated assessment methods are needed to study and characterize telemedicine programs. We developed a novel semi - structured survey instrument to systematically describe the characteristics and implementation processes of telemedicine programs in primary care. METHODS: In the context of a larger study aiming to describe telemedicine programs in primary care, a survey was developed in 3 iterative steps: 1) literature review to obtain a list of telemedicine features, facilitators, and barriers; 2) application of three evaluation frameworks; and 3) stakeholder engagement through a 2-stage feedback process. During survey refinement, items were tested against the evaluation frameworks while ensuring it could be completed within 20–25 min. Data reduction techniques were applied to explore opportunity for condensed variables/items. RESULTS: Sixty initially identified telemedicine features were reduced to 32 items / questions after stakeholder feedback. Per the life cycle framework, respondents are asked to report a month in which their telemedicine program reached a steady state, i.e., “maturation”. Subsequent questions on telemedicine features are then stratified by telemedicine services offered at the pandemic onset and the reported point of maturation. Several open - ended questions allow for additional telemedicine experiences to be captured. Data reduction techniques revealed no indication for data reduction. CONCLUSION: This 32-item semi-structured survey standardizes the description of primary care telemedicine programs in terms of features as well as maturation process. This tool will facilitate evaluation of and comparisons between telemedicine programs across the United States, particularly those that were deployed at the pandemic onset. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12913-023-10130-5.
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spelling pubmed-106570142023-11-17 Development of a novel instrument to characterize telemedicine programs in primary care Cho, Logan D. Rabinowitz, Grace Goytia, Crispin Andreadis, Katerina Huang, Hsin - Hui Benda, Natalie C. Lin, Jenny J. Horowitz, Carol Kaushal, Rainu Ancker, Jessica S. Poeran, Jashvant BMC Health Serv Res Research BACKGROUND: Given the rapid deployment of telemedicine at the onset of the COVID - 19 pandemic, updated assessment methods are needed to study and characterize telemedicine programs. We developed a novel semi - structured survey instrument to systematically describe the characteristics and implementation processes of telemedicine programs in primary care. METHODS: In the context of a larger study aiming to describe telemedicine programs in primary care, a survey was developed in 3 iterative steps: 1) literature review to obtain a list of telemedicine features, facilitators, and barriers; 2) application of three evaluation frameworks; and 3) stakeholder engagement through a 2-stage feedback process. During survey refinement, items were tested against the evaluation frameworks while ensuring it could be completed within 20–25 min. Data reduction techniques were applied to explore opportunity for condensed variables/items. RESULTS: Sixty initially identified telemedicine features were reduced to 32 items / questions after stakeholder feedback. Per the life cycle framework, respondents are asked to report a month in which their telemedicine program reached a steady state, i.e., “maturation”. Subsequent questions on telemedicine features are then stratified by telemedicine services offered at the pandemic onset and the reported point of maturation. Several open - ended questions allow for additional telemedicine experiences to be captured. Data reduction techniques revealed no indication for data reduction. CONCLUSION: This 32-item semi-structured survey standardizes the description of primary care telemedicine programs in terms of features as well as maturation process. This tool will facilitate evaluation of and comparisons between telemedicine programs across the United States, particularly those that were deployed at the pandemic onset. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12913-023-10130-5. BioMed Central 2023-11-17 /pmc/articles/PMC10657014/ /pubmed/37978511 http://dx.doi.org/10.1186/s12913-023-10130-5 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Cho, Logan D.
Rabinowitz, Grace
Goytia, Crispin
Andreadis, Katerina
Huang, Hsin - Hui
Benda, Natalie C.
Lin, Jenny J.
Horowitz, Carol
Kaushal, Rainu
Ancker, Jessica S.
Poeran, Jashvant
Development of a novel instrument to characterize telemedicine programs in primary care
title Development of a novel instrument to characterize telemedicine programs in primary care
title_full Development of a novel instrument to characterize telemedicine programs in primary care
title_fullStr Development of a novel instrument to characterize telemedicine programs in primary care
title_full_unstemmed Development of a novel instrument to characterize telemedicine programs in primary care
title_short Development of a novel instrument to characterize telemedicine programs in primary care
title_sort development of a novel instrument to characterize telemedicine programs in primary care
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10657014/
https://www.ncbi.nlm.nih.gov/pubmed/37978511
http://dx.doi.org/10.1186/s12913-023-10130-5
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