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The design, implementation, and impact of an automated patient-reported outcome data collection and adverse event surveillance tool: a randomized trial

BACKGROUND: Incorporating patient-reported outcome measures into routine clinical care can improve the patient experience, increase engagement, and establish a structured method for gathering adverse event (AE) data. Systematically collecting this information on a large scale can also inform new sol...

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Autores principales: Zhou, Megan S., Jain, Tanya, Hardy, Nick, Perez-Segura, Alejandro, Hickman, Jasmine, Leopold, Laurey, Qualliotine, Kerry, Yedidi, Raagini S., Whetsell, Matthew, Broffman, Lauren
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10658802/
https://www.ncbi.nlm.nih.gov/pubmed/37986191
http://dx.doi.org/10.1186/s12913-023-10231-1
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author Zhou, Megan S.
Jain, Tanya
Hardy, Nick
Perez-Segura, Alejandro
Hickman, Jasmine
Leopold, Laurey
Qualliotine, Kerry
Yedidi, Raagini S.
Whetsell, Matthew
Broffman, Lauren
author_facet Zhou, Megan S.
Jain, Tanya
Hardy, Nick
Perez-Segura, Alejandro
Hickman, Jasmine
Leopold, Laurey
Qualliotine, Kerry
Yedidi, Raagini S.
Whetsell, Matthew
Broffman, Lauren
author_sort Zhou, Megan S.
collection PubMed
description BACKGROUND: Incorporating patient-reported outcome measures into routine clinical care can improve the patient experience, increase engagement, and establish a structured method for gathering adverse event (AE) data. Systematically collecting this information on a large scale can also inform new solutions for removing treatment barriers like medication nonadherence. This study evaluated whether implementing a patient-reported outcome data collection and adverse event surveillance tool would result in greater treatment continuation for patients receiving care on a telehealth platform. METHODS: We used iterative plan-study-do-act cycles to evaluate how this data collection and surveillance tool—a short prompt for patients to provide information on treatment satisfaction and side effects—impacted treatment continuation, the outcome of interest. We tested two cycles in n = 2,000 patients receiving care for erectile dysfunction on a telehealth platform as a randomized controlled trial, and accounted for incidents where true randomization was not possible during implementation. The first cycle tested the tool alone, while the second cycle tested the tool in conjunction with a messaging template system that provided standardized side effect counseling. RESULTS: Compared to patients in the control group, patients in the intervention group were more likely to refill their prescription over the duration of the study period (75% vs. 71%, Kaplan Meier log-rank test, p = 0.04). Receiving standardized counseling as part of the AE response system was positively associated with treatment continuation (p = 0.0005). CONCLUSIONS: Prompting patients to report side effects and outcomes outside of routine clinical visits has the potential to improve quality of care in virtual treatment. TRIAL REGISTRATION: This trial has been retrospectively registered as a clinical trial (ClinicalTrials.gov Identifier: NCT05895539, registered June 8, 2023). SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12913-023-10231-1.
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spelling pubmed-106588022023-11-20 The design, implementation, and impact of an automated patient-reported outcome data collection and adverse event surveillance tool: a randomized trial Zhou, Megan S. Jain, Tanya Hardy, Nick Perez-Segura, Alejandro Hickman, Jasmine Leopold, Laurey Qualliotine, Kerry Yedidi, Raagini S. Whetsell, Matthew Broffman, Lauren BMC Health Serv Res Research Article BACKGROUND: Incorporating patient-reported outcome measures into routine clinical care can improve the patient experience, increase engagement, and establish a structured method for gathering adverse event (AE) data. Systematically collecting this information on a large scale can also inform new solutions for removing treatment barriers like medication nonadherence. This study evaluated whether implementing a patient-reported outcome data collection and adverse event surveillance tool would result in greater treatment continuation for patients receiving care on a telehealth platform. METHODS: We used iterative plan-study-do-act cycles to evaluate how this data collection and surveillance tool—a short prompt for patients to provide information on treatment satisfaction and side effects—impacted treatment continuation, the outcome of interest. We tested two cycles in n = 2,000 patients receiving care for erectile dysfunction on a telehealth platform as a randomized controlled trial, and accounted for incidents where true randomization was not possible during implementation. The first cycle tested the tool alone, while the second cycle tested the tool in conjunction with a messaging template system that provided standardized side effect counseling. RESULTS: Compared to patients in the control group, patients in the intervention group were more likely to refill their prescription over the duration of the study period (75% vs. 71%, Kaplan Meier log-rank test, p = 0.04). Receiving standardized counseling as part of the AE response system was positively associated with treatment continuation (p = 0.0005). CONCLUSIONS: Prompting patients to report side effects and outcomes outside of routine clinical visits has the potential to improve quality of care in virtual treatment. TRIAL REGISTRATION: This trial has been retrospectively registered as a clinical trial (ClinicalTrials.gov Identifier: NCT05895539, registered June 8, 2023). SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12913-023-10231-1. BioMed Central 2023-11-20 /pmc/articles/PMC10658802/ /pubmed/37986191 http://dx.doi.org/10.1186/s12913-023-10231-1 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 Article
Zhou, Megan S.
Jain, Tanya
Hardy, Nick
Perez-Segura, Alejandro
Hickman, Jasmine
Leopold, Laurey
Qualliotine, Kerry
Yedidi, Raagini S.
Whetsell, Matthew
Broffman, Lauren
The design, implementation, and impact of an automated patient-reported outcome data collection and adverse event surveillance tool: a randomized trial
title The design, implementation, and impact of an automated patient-reported outcome data collection and adverse event surveillance tool: a randomized trial
title_full The design, implementation, and impact of an automated patient-reported outcome data collection and adverse event surveillance tool: a randomized trial
title_fullStr The design, implementation, and impact of an automated patient-reported outcome data collection and adverse event surveillance tool: a randomized trial
title_full_unstemmed The design, implementation, and impact of an automated patient-reported outcome data collection and adverse event surveillance tool: a randomized trial
title_short The design, implementation, and impact of an automated patient-reported outcome data collection and adverse event surveillance tool: a randomized trial
title_sort design, implementation, and impact of an automated patient-reported outcome data collection and adverse event surveillance tool: a randomized trial
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10658802/
https://www.ncbi.nlm.nih.gov/pubmed/37986191
http://dx.doi.org/10.1186/s12913-023-10231-1
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