000109622 001__ 109622
000109622 005__ 20230519145433.0
000109622 0247_ $$2doi$$a10.3390/ijerph182212056
000109622 0248_ $$2sideral$$a125718
000109622 037__ $$aART-2021-125718
000109622 041__ $$aeng
000109622 100__ $$0(orcid)0000-0003-2608-6431$$aRoca, S.$$uUniversidad de Zaragoza
000109622 245__ $$aValidation of a Virtual Assistant for Improving Medication Adherence in Patients with Comorbid Type 2 Diabetes Mellitus and Depressive Disorder
000109622 260__ $$c2021
000109622 5060_ $$aAccess copy available to the general public$$fUnrestricted
000109622 5203_ $$aVirtual 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.
000109622 536__ $$9info:eu-repo/grantAgreement/ES/DGA-FEDER/T31-20R$$9info:eu-repo/grantAgreement/ES/MINECO-FEDER/TIN2016-76770-R
000109622 540__ $$9info:eu-repo/semantics/openAccess$$aby$$uhttp://creativecommons.org/licenses/by/3.0/es/
000109622 590__ $$a4.614$$b2021
000109622 592__ $$a0.814$$b2021
000109622 594__ $$a4.5$$b2021
000109622 591__ $$aPUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH$$b45 / 183 = 0.246$$c2021$$dQ1$$eT1
000109622 593__ $$aPollution$$c2021$$dQ1
000109622 591__ $$aPUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH$$b71 / 210 = 0.338$$c2021$$dQ2$$eT2
000109622 593__ $$aHealth, Toxicology and Mutagenesis$$c2021$$dQ1
000109622 591__ $$aENVIRONMENTAL SCIENCES$$b100 / 279 = 0.358$$c2021$$dQ2$$eT2
000109622 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/publishedVersion
000109622 700__ $$aLozano, M.L.
000109622 700__ $$0(orcid)0000-0001-9485-7678$$aGarcia, J.$$uUniversidad de Zaragoza
000109622 700__ $$0(orcid)0000-0002-5254-1402$$aAlesanco, A.$$uUniversidad de Zaragoza
000109622 7102_ $$15008$$2560$$aUniversidad de Zaragoza$$bDpto. Ingeniería Electrón.Com.$$cÁrea Ingeniería Telemática
000109622 773__ $$g18, 22 (2021), 12056 [17 pp.]$$pInt. j. environ. res. public health$$tInternational journal of environmental research and public health$$x1661-7827
000109622 8564_ $$s1069550$$uhttps://zaguan.unizar.es/record/109622/files/texto_completo.pdf$$yVersión publicada
000109622 8564_ $$s2948463$$uhttps://zaguan.unizar.es/record/109622/files/texto_completo.jpg?subformat=icon$$xicon$$yVersión publicada
000109622 909CO $$ooai:zaguan.unizar.es:109622$$particulos$$pdriver
000109622 951__ $$a2023-05-18-14:20:19
000109622 980__ $$aARTICLE