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Qualitative analysis of programmatic initiatives to text patients with mobile devices in resource-limited health systems

BACKGROUND: Text messaging is an affordable, ubiquitous, and expanding mobile communication technology. However, safety net health systems in the United States that provide more care to uninsured and low-income patients may face additional financial and infrastructural challenges in utilizing this t...

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Autores principales: Garg, Sachin K., Lyles, Courtney R., Ackerman, Sara, Handley, Margaret A., Schillinger, Dean, Gourley, Gato, Aulakh, Veenu, Sarkar, Urmimala
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4744448/
https://www.ncbi.nlm.nih.gov/pubmed/26851941
http://dx.doi.org/10.1186/s12911-016-0258-7
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author Garg, Sachin K.
Lyles, Courtney R.
Ackerman, Sara
Handley, Margaret A.
Schillinger, Dean
Gourley, Gato
Aulakh, Veenu
Sarkar, Urmimala
author_facet Garg, Sachin K.
Lyles, Courtney R.
Ackerman, Sara
Handley, Margaret A.
Schillinger, Dean
Gourley, Gato
Aulakh, Veenu
Sarkar, Urmimala
author_sort Garg, Sachin K.
collection PubMed
description BACKGROUND: Text messaging is an affordable, ubiquitous, and expanding mobile communication technology. However, safety net health systems in the United States that provide more care to uninsured and low-income patients may face additional financial and infrastructural challenges in utilizing this technology. Formative evaluations of texting implementation experiences are limited. We interviewed safety net health systems piloting texting initiatives to study facilitators and barriers to real-world implementation. METHODS: We conducted telephone interviews with various stakeholders who volunteered from each of the eight California-based safety net systems that received external funding to pilot a texting-based program of their choosing to serve a primary care need. We developed a semi-structured interview guide based partly on the Consolidated Framework for Implementation Research (CFIR), which encompasses several domains: the intervention, individuals involved, contextual factors, and implementation process. We inductively and deductively (using CFIR) coded transcripts, and categorized themes into facilitators and barriers. RESULTS: We performed eight interviews (one interview per pilot site). Five sites had no prior texting experience. Sites applied texting for programs related to medication adherence and monitoring, appointment reminders, care coordination, and health education and promotion. No site texted patient-identifying health information, and most sites manually obtained informed consent from each participating patient. Facilitators of implementation included perceived enthusiasm from patients, staff and management belief that texting is patient-centered, and the early identification of potential barriers through peer collaboration among grantees. Navigating government regulations that protect patient privacy and guide the handling of protected health information emerged as a crucial barrier. A related technical challenge in five sites was the labor-intensive tracking and documenting of texting communications due to an inability to integrate texting platforms with electronic health records. CONCLUSIONS: Despite enthusiasm for the texting programs from the involved individuals and organizations, inadequate data management capabilities and unclear privacy and security regulations for mobile health technology slowed the initial implementation and limited the clinical use of texting in the safety net and scope of pilots. Future implementation work and research should investigate how different texting platform and intervention designs affect efficacy, as well as explore issues that may affect sustainability and the scalability. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12911-016-0258-7) contains supplementary material, which is available to authorized users.
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spelling pubmed-47444482016-02-07 Qualitative analysis of programmatic initiatives to text patients with mobile devices in resource-limited health systems Garg, Sachin K. Lyles, Courtney R. Ackerman, Sara Handley, Margaret A. Schillinger, Dean Gourley, Gato Aulakh, Veenu Sarkar, Urmimala BMC Med Inform Decis Mak Research Article BACKGROUND: Text messaging is an affordable, ubiquitous, and expanding mobile communication technology. However, safety net health systems in the United States that provide more care to uninsured and low-income patients may face additional financial and infrastructural challenges in utilizing this technology. Formative evaluations of texting implementation experiences are limited. We interviewed safety net health systems piloting texting initiatives to study facilitators and barriers to real-world implementation. METHODS: We conducted telephone interviews with various stakeholders who volunteered from each of the eight California-based safety net systems that received external funding to pilot a texting-based program of their choosing to serve a primary care need. We developed a semi-structured interview guide based partly on the Consolidated Framework for Implementation Research (CFIR), which encompasses several domains: the intervention, individuals involved, contextual factors, and implementation process. We inductively and deductively (using CFIR) coded transcripts, and categorized themes into facilitators and barriers. RESULTS: We performed eight interviews (one interview per pilot site). Five sites had no prior texting experience. Sites applied texting for programs related to medication adherence and monitoring, appointment reminders, care coordination, and health education and promotion. No site texted patient-identifying health information, and most sites manually obtained informed consent from each participating patient. Facilitators of implementation included perceived enthusiasm from patients, staff and management belief that texting is patient-centered, and the early identification of potential barriers through peer collaboration among grantees. Navigating government regulations that protect patient privacy and guide the handling of protected health information emerged as a crucial barrier. A related technical challenge in five sites was the labor-intensive tracking and documenting of texting communications due to an inability to integrate texting platforms with electronic health records. CONCLUSIONS: Despite enthusiasm for the texting programs from the involved individuals and organizations, inadequate data management capabilities and unclear privacy and security regulations for mobile health technology slowed the initial implementation and limited the clinical use of texting in the safety net and scope of pilots. Future implementation work and research should investigate how different texting platform and intervention designs affect efficacy, as well as explore issues that may affect sustainability and the scalability. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12911-016-0258-7) contains supplementary material, which is available to authorized users. BioMed Central 2016-02-06 /pmc/articles/PMC4744448/ /pubmed/26851941 http://dx.doi.org/10.1186/s12911-016-0258-7 Text en © Garg et al. 2016 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
Garg, Sachin K.
Lyles, Courtney R.
Ackerman, Sara
Handley, Margaret A.
Schillinger, Dean
Gourley, Gato
Aulakh, Veenu
Sarkar, Urmimala
Qualitative analysis of programmatic initiatives to text patients with mobile devices in resource-limited health systems
title Qualitative analysis of programmatic initiatives to text patients with mobile devices in resource-limited health systems
title_full Qualitative analysis of programmatic initiatives to text patients with mobile devices in resource-limited health systems
title_fullStr Qualitative analysis of programmatic initiatives to text patients with mobile devices in resource-limited health systems
title_full_unstemmed Qualitative analysis of programmatic initiatives to text patients with mobile devices in resource-limited health systems
title_short Qualitative analysis of programmatic initiatives to text patients with mobile devices in resource-limited health systems
title_sort qualitative analysis of programmatic initiatives to text patients with mobile devices in resource-limited health systems
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4744448/
https://www.ncbi.nlm.nih.gov/pubmed/26851941
http://dx.doi.org/10.1186/s12911-016-0258-7
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