Cargando…
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...
Autores principales: | , , , , , , , , , |
---|---|
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 |
_version_ | 1785148243732070400 |
---|---|
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. |
format | Online Article Text |
id | pubmed-10658802 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT zhoumegans thedesignimplementationandimpactofanautomatedpatientreportedoutcomedatacollectionandadverseeventsurveillancetoolarandomizedtrial AT jaintanya thedesignimplementationandimpactofanautomatedpatientreportedoutcomedatacollectionandadverseeventsurveillancetoolarandomizedtrial AT hardynick thedesignimplementationandimpactofanautomatedpatientreportedoutcomedatacollectionandadverseeventsurveillancetoolarandomizedtrial AT perezseguraalejandro thedesignimplementationandimpactofanautomatedpatientreportedoutcomedatacollectionandadverseeventsurveillancetoolarandomizedtrial AT hickmanjasmine thedesignimplementationandimpactofanautomatedpatientreportedoutcomedatacollectionandadverseeventsurveillancetoolarandomizedtrial AT leopoldlaurey thedesignimplementationandimpactofanautomatedpatientreportedoutcomedatacollectionandadverseeventsurveillancetoolarandomizedtrial AT qualliotinekerry thedesignimplementationandimpactofanautomatedpatientreportedoutcomedatacollectionandadverseeventsurveillancetoolarandomizedtrial AT yedidiraaginis thedesignimplementationandimpactofanautomatedpatientreportedoutcomedatacollectionandadverseeventsurveillancetoolarandomizedtrial AT whetsellmatthew thedesignimplementationandimpactofanautomatedpatientreportedoutcomedatacollectionandadverseeventsurveillancetoolarandomizedtrial AT broffmanlauren thedesignimplementationandimpactofanautomatedpatientreportedoutcomedatacollectionandadverseeventsurveillancetoolarandomizedtrial AT zhoumegans designimplementationandimpactofanautomatedpatientreportedoutcomedatacollectionandadverseeventsurveillancetoolarandomizedtrial AT jaintanya designimplementationandimpactofanautomatedpatientreportedoutcomedatacollectionandadverseeventsurveillancetoolarandomizedtrial AT hardynick designimplementationandimpactofanautomatedpatientreportedoutcomedatacollectionandadverseeventsurveillancetoolarandomizedtrial AT perezseguraalejandro designimplementationandimpactofanautomatedpatientreportedoutcomedatacollectionandadverseeventsurveillancetoolarandomizedtrial AT hickmanjasmine designimplementationandimpactofanautomatedpatientreportedoutcomedatacollectionandadverseeventsurveillancetoolarandomizedtrial AT leopoldlaurey designimplementationandimpactofanautomatedpatientreportedoutcomedatacollectionandadverseeventsurveillancetoolarandomizedtrial AT qualliotinekerry designimplementationandimpactofanautomatedpatientreportedoutcomedatacollectionandadverseeventsurveillancetoolarandomizedtrial AT yedidiraaginis designimplementationandimpactofanautomatedpatientreportedoutcomedatacollectionandadverseeventsurveillancetoolarandomizedtrial AT whetsellmatthew designimplementationandimpactofanautomatedpatientreportedoutcomedatacollectionandadverseeventsurveillancetoolarandomizedtrial AT broffmanlauren designimplementationandimpactofanautomatedpatientreportedoutcomedatacollectionandadverseeventsurveillancetoolarandomizedtrial |