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Technology Evaluation and Assessment Criteria for Health Apps (TEACH-Apps): Pilot Study

BACKGROUND: Despite the emergence of app evaluation tools, there remains no well-defined process receptive to diverse local needs, rigorous standards, and current content. The need for such a process to assist in the implementation of app evaluation across all medical fields is evident. Such a proce...

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Detalles Bibliográficos
Autores principales: Camacho, Erica, Hoffman, Liza, Lagan, Sarah, Rodriguez-Villa, Elena, Rauseo-Ricupero, Natali, Wisniewski, Hannah, Henson, Philip, Torous, John
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7484774/
https://www.ncbi.nlm.nih.gov/pubmed/32535548
http://dx.doi.org/10.2196/18346
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author Camacho, Erica
Hoffman, Liza
Lagan, Sarah
Rodriguez-Villa, Elena
Rauseo-Ricupero, Natali
Wisniewski, Hannah
Henson, Philip
Torous, John
author_facet Camacho, Erica
Hoffman, Liza
Lagan, Sarah
Rodriguez-Villa, Elena
Rauseo-Ricupero, Natali
Wisniewski, Hannah
Henson, Philip
Torous, John
author_sort Camacho, Erica
collection PubMed
description BACKGROUND: Despite the emergence of app evaluation tools, there remains no well-defined process receptive to diverse local needs, rigorous standards, and current content. The need for such a process to assist in the implementation of app evaluation across all medical fields is evident. Such a process has the potential to increase stakeholder engagement and catalyze interest and engagement with present-day app evaluation models. OBJECTIVE: This study aimed to develop and pilot test the Technology Evaluation and Assessment Criteria for Health apps (TEACH-apps). METHODS: Tailoring a well-known implementation framework, Replicating Effective Programs, we present a new process to approach the challenges faced in implementing app evaluation tools today. As a culmination of our experience implementing this process and feedback from stakeholders, we present the four-part process to aid the implementation of mobile health technology. This paper outlines the theory, evidence, and initial versions of the process. RESULTS: The TEACH-apps process is designed to be broadly usable and widely applicable across all fields of health. The process comprises four parts: (1) preconditions (eg, gathering apps and considering local needs), (2) preimplementation (eg, customizing criteria and offering digital skills training), (3) implementation (eg, evaluating apps and creating educational handouts), and (4) maintenance and evolution (eg, repeating the process every 90 days and updating content). TEACH-apps has been tested internally at our hospital, and there is growing interest in partnering health care facilities to test the system at their sites. CONCLUSIONS: This implementation framework introduces a process that equips stakeholders, clinicians, and users with the foundational tools to make informed decisions around app use and increase app evaluation engagement. The application of this process may lead to the selection of more culturally appropriate and clinically relevant tools in health care.
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spelling pubmed-74847742020-09-21 Technology Evaluation and Assessment Criteria for Health Apps (TEACH-Apps): Pilot Study Camacho, Erica Hoffman, Liza Lagan, Sarah Rodriguez-Villa, Elena Rauseo-Ricupero, Natali Wisniewski, Hannah Henson, Philip Torous, John J Med Internet Res Original Paper BACKGROUND: Despite the emergence of app evaluation tools, there remains no well-defined process receptive to diverse local needs, rigorous standards, and current content. The need for such a process to assist in the implementation of app evaluation across all medical fields is evident. Such a process has the potential to increase stakeholder engagement and catalyze interest and engagement with present-day app evaluation models. OBJECTIVE: This study aimed to develop and pilot test the Technology Evaluation and Assessment Criteria for Health apps (TEACH-apps). METHODS: Tailoring a well-known implementation framework, Replicating Effective Programs, we present a new process to approach the challenges faced in implementing app evaluation tools today. As a culmination of our experience implementing this process and feedback from stakeholders, we present the four-part process to aid the implementation of mobile health technology. This paper outlines the theory, evidence, and initial versions of the process. RESULTS: The TEACH-apps process is designed to be broadly usable and widely applicable across all fields of health. The process comprises four parts: (1) preconditions (eg, gathering apps and considering local needs), (2) preimplementation (eg, customizing criteria and offering digital skills training), (3) implementation (eg, evaluating apps and creating educational handouts), and (4) maintenance and evolution (eg, repeating the process every 90 days and updating content). TEACH-apps has been tested internally at our hospital, and there is growing interest in partnering health care facilities to test the system at their sites. CONCLUSIONS: This implementation framework introduces a process that equips stakeholders, clinicians, and users with the foundational tools to make informed decisions around app use and increase app evaluation engagement. The application of this process may lead to the selection of more culturally appropriate and clinically relevant tools in health care. JMIR Publications 2020-08-27 /pmc/articles/PMC7484774/ /pubmed/32535548 http://dx.doi.org/10.2196/18346 Text en ©Erica Camacho, Liza Hoffman, Sarah Lagan, Elena Rodriguez-Villa, Natali Rauseo-Ricupero, Hannah Wisniewski, Philip Henson, John Torous. Originally published in the Journal of Medical Internet Research (http://www.jmir.org), 27.08.2020. 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 the Journal of Medical Internet Research, is properly cited. The complete bibliographic information, a link to the original publication on http://www.jmir.org/, as well as this copyright and license information must be included.
spellingShingle Original Paper
Camacho, Erica
Hoffman, Liza
Lagan, Sarah
Rodriguez-Villa, Elena
Rauseo-Ricupero, Natali
Wisniewski, Hannah
Henson, Philip
Torous, John
Technology Evaluation and Assessment Criteria for Health Apps (TEACH-Apps): Pilot Study
title Technology Evaluation and Assessment Criteria for Health Apps (TEACH-Apps): Pilot Study
title_full Technology Evaluation and Assessment Criteria for Health Apps (TEACH-Apps): Pilot Study
title_fullStr Technology Evaluation and Assessment Criteria for Health Apps (TEACH-Apps): Pilot Study
title_full_unstemmed Technology Evaluation and Assessment Criteria for Health Apps (TEACH-Apps): Pilot Study
title_short Technology Evaluation and Assessment Criteria for Health Apps (TEACH-Apps): Pilot Study
title_sort technology evaluation and assessment criteria for health apps (teach-apps): pilot study
topic Original Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7484774/
https://www.ncbi.nlm.nih.gov/pubmed/32535548
http://dx.doi.org/10.2196/18346
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