Validation of a Virtual Assistant for Improving Medication Adherence in Patients with Comorbid Type 2 Diabetes Mellitus and Depressive Disorder
Virtual assistants are programs that interact with users through text or voice messages simulating a human-based conversation. The development of healthcare virtual assistants that use messaging platforms is rapidly increasing. Still, there is a lack of validation of these assistants. In particular,...
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2021
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oai:doaj.org-article:6c2bd0b44b3f47619be0e449e6e759c02021-11-25T17:50:41ZValidation of a Virtual Assistant for Improving Medication Adherence in Patients with Comorbid Type 2 Diabetes Mellitus and Depressive Disorder10.3390/ijerph1822120561660-46011661-7827https://doaj.org/article/6c2bd0b44b3f47619be0e449e6e759c02021-11-01T00:00:00Zhttps://www.mdpi.com/1660-4601/18/22/12056https://doaj.org/toc/1661-7827https://doaj.org/toc/1660-4601Virtual assistants are programs that interact with users through text or voice messages simulating a human-based conversation. The development of healthcare virtual assistants that use messaging platforms is rapidly increasing. Still, there is a lack of validation of these assistants. In particular, this work aimed to validate the effectiveness of a healthcare virtual assistant, integrated within messaging platforms, with the aim of improving medication adherence in patients with comorbid type 2 diabetes mellitus and depressive disorder. For this purpose, a nine-month pilot study was designed and subsequently conducted. The virtual assistant reminds patients about their medication and provides healthcare professionals with the ability to monitor their patients. We analyzed the medication possession ratio (MPR), measured the level of glycosylated hemoglobin (HbA1c), and obtained the patient health questionnaire (PHQ-9) score in the patients before and after the study. We also conducted interviews with all participants. A total of thirteen patients and five nurses used and evaluated the proposed virtual assistant using the messaging platform Signal. Results showed that on average, the medication adherence improved. In the final interview, 69% of the patients agreed with the idea of continuing to use the virtual assistant after the study.Surya RocaMaría Luisa LozanoJosé GarcíaÁlvaro AlesancoMDPI AGarticlechat-based interactioneHealthmHealthchronic diseasediabetesdepressive disorderMedicineRENInternational Journal of Environmental Research and Public Health, Vol 18, Iss 12056, p 12056 (2021) |
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chat-based interaction eHealth mHealth chronic disease diabetes depressive disorder Medicine R |
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chat-based interaction eHealth mHealth chronic disease diabetes depressive disorder Medicine R Surya Roca María Luisa Lozano José García Álvaro Alesanco Validation of a Virtual Assistant for Improving Medication Adherence in Patients with Comorbid Type 2 Diabetes Mellitus and Depressive Disorder |
description |
Virtual assistants are programs that interact with users through text or voice messages simulating a human-based conversation. The development of healthcare virtual assistants that use messaging platforms is rapidly increasing. Still, there is a lack of validation of these assistants. In particular, this work aimed to validate the effectiveness of a healthcare virtual assistant, integrated within messaging platforms, with the aim of improving medication adherence in patients with comorbid type 2 diabetes mellitus and depressive disorder. For this purpose, a nine-month pilot study was designed and subsequently conducted. The virtual assistant reminds patients about their medication and provides healthcare professionals with the ability to monitor their patients. We analyzed the medication possession ratio (MPR), measured the level of glycosylated hemoglobin (HbA1c), and obtained the patient health questionnaire (PHQ-9) score in the patients before and after the study. We also conducted interviews with all participants. A total of thirteen patients and five nurses used and evaluated the proposed virtual assistant using the messaging platform Signal. Results showed that on average, the medication adherence improved. In the final interview, 69% of the patients agreed with the idea of continuing to use the virtual assistant after the study. |
format |
article |
author |
Surya Roca María Luisa Lozano José García Álvaro Alesanco |
author_facet |
Surya Roca María Luisa Lozano José García Álvaro Alesanco |
author_sort |
Surya Roca |
title |
Validation of a Virtual Assistant for Improving Medication Adherence in Patients with Comorbid Type 2 Diabetes Mellitus and Depressive Disorder |
title_short |
Validation of a Virtual Assistant for Improving Medication Adherence in Patients with Comorbid Type 2 Diabetes Mellitus and Depressive Disorder |
title_full |
Validation of a Virtual Assistant for Improving Medication Adherence in Patients with Comorbid Type 2 Diabetes Mellitus and Depressive Disorder |
title_fullStr |
Validation of a Virtual Assistant for Improving Medication Adherence in Patients with Comorbid Type 2 Diabetes Mellitus and Depressive Disorder |
title_full_unstemmed |
Validation of a Virtual Assistant for Improving Medication Adherence in Patients with Comorbid Type 2 Diabetes Mellitus and Depressive Disorder |
title_sort |
validation of a virtual assistant for improving medication adherence in patients with comorbid type 2 diabetes mellitus and depressive disorder |
publisher |
MDPI AG |
publishDate |
2021 |
url |
https://doaj.org/article/6c2bd0b44b3f47619be0e449e6e759c0 |
work_keys_str_mv |
AT suryaroca validationofavirtualassistantforimprovingmedicationadherenceinpatientswithcomorbidtype2diabetesmellitusanddepressivedisorder AT marialuisalozano validationofavirtualassistantforimprovingmedicationadherenceinpatientswithcomorbidtype2diabetesmellitusanddepressivedisorder AT josegarcia validationofavirtualassistantforimprovingmedicationadherenceinpatientswithcomorbidtype2diabetesmellitusanddepressivedisorder AT alvaroalesanco validationofavirtualassistantforimprovingmedicationadherenceinpatientswithcomorbidtype2diabetesmellitusanddepressivedisorder |
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1718411925364146176 |