<?xml version="1.0" encoding="UTF-8"?><?xml-stylesheet type="text/xsl" href="static/style.xsl"?><OAI-PMH xmlns="http://www.openarchives.org/OAI/2.0/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/ http://www.openarchives.org/OAI/2.0/OAI-PMH.xsd"><responseDate>2026-07-22T05:25:45Z</responseDate><request verb="GetRecord" identifier="oai:repisalud.isciii.es:20.500.12105/23630" metadataPrefix="mets">https://repisalud.isciii.es/rest/oai/request</request><GetRecord><record><header><identifier>oai:repisalud.isciii.es:20.500.12105/23630</identifier><datestamp>2024-11-28T20:19:59Z</datestamp><setSpec>com_20.500.12105_15322</setSpec><setSpec>com_20.500.12105_2051</setSpec><setSpec>col_20.500.12105_16967</setSpec></header><metadata><mets xmlns="http://www.loc.gov/METS/" xmlns:doc="http://www.lyncode.com/xoai" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" ID="&#xa;&#x9;&#x9;&#x9;&#x9;DSpace_ITEM_20.500.12105-23630" TYPE="DSpace ITEM" PROFILE="DSpace METS SIP Profile 1.0" xsi:schemaLocation="http://www.loc.gov/METS/ http://www.loc.gov/standards/mets/mets.xsd" OBJID="&#xa;&#x9;&#x9;&#x9;&#x9;hdl:20.500.12105/23630">
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                  <mods:namePart>Zamanillo Campos, Rocío</mods:namePart>
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                  <mods:namePart>Fiol-deRoque, Maria Antonia</mods:namePart>
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                  <mods:namePart>Serrano-Ripoll, Maria Jesus</mods:namePart>
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                  <mods:namePart>Mira-Martínez, Sofía</mods:namePart>
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                  <mods:namePart>Ricci-Cabello, Ignacio</mods:namePart>
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                  <mods:dateAccessioned encoding="iso8601">2024-10-09T06:33:53Z</mods:dateAccessioned>
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                  <mods:dateIssued encoding="iso8601">2023</mods:dateIssued>
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               <mods:identifier type="citation">Zamanillo-Campos R, Fiol-deRoque MA, Serrano-Ripoll MJ, Mira-Martínez S, Ricci-Cabello I. Development and evaluation of DiabeText, a personalized mHealth intervention to support medication adherence and lifestyle change behaviour in patients with type 2 diabetes in Spain: A mixed-methods phase II pragmatic randomized controlled clinical trial. Int J Med Inform. 2023 Aug;176:105103.</mods:identifier>
               <mods:identifier type="doi">10.1016/j.ijmedinf.2023.105103</mods:identifier>
               <mods:identifier type="issn">1386-5056</mods:identifier>
               <mods:identifier type="journal">International Journal of Medical Informatics</mods:identifier>
               <mods:identifier type="other">https://hdl.handle.net/20.500.13003/18959</mods:identifier>
               <mods:identifier type="pubmedID">37267809</mods:identifier>
               <mods:identifier type="pui">L2024815227</mods:identifier>
               <mods:identifier type="scopus">2-s2.0-85160805023</mods:identifier>
               <mods:identifier type="uri">https://hdl.handle.net/20.500.12105/23630</mods:identifier>
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               <mods:abstract>Background: Despite the increasing interest in text-messaging interventions to support healthcare delivery, the available evidence about their effectiveness is still limited. Objectives: 1) to develop DiabeText, an intervention delivering automated, tailored brief text messages to support diabetes self-management; 2) to explore the potential impact of DiabeText on self-management behavior and glycaemic control, and; 3) to examine the feasibility of conducting a future phase III randomized clinical trial to evaluate the effectiveness of DiabeText. Methods: 3-month, two-arm, randomized feasibility trial (ClinicalTrials.gov: NCT04738591) with patients with type 2 diabetes (HbA1c > 8%). Participants were allocated to the control (usual care) or DiabeText group (usual care + five text messages per week). Outcomes were: recruitment rate; follow-up rate, missing data; medication adherence; adherence to Mediterranean diet; physical activity; and HbA1c. In addition, after delivering the intervention, we conducted a qualitative study involving 14 semi-structured interviews with participants allocated to the DiabeText group, to understand their views about the intervention. Results: From 444 screened people, we recruited 207 participants (recruitment rate = 47%), of which 179 completed the post-intervention interview (follow-up rate = 86%). We sent 7,355 SMS during the intervention period, of which 99% successfully reached the participants. At post-intervention, DiabeText was associated with non-statistically significant (p > 0.05) improvements in adherence to medication (OR = 2.0; 95%CI 1.0 to 4.2), Mediterranean diet (1.7; 0.9 to 3.2), and physical activity (1.7; 0.9 to 3.1). No between-group differences were observed in mean HbA1c (p = 0.670). The qualitative study indicated that participants perceived DiabeText as a helpful resource because it increased their awareness about the importance of adequate self-management and the sense of being cared for. Conclusions: DiabeText is the first system in Spain to integrate patient-generated and routinely collected clinical data to deliver tailored text messages to support diabetes self-management. More robust trials are needed to determine its effectiveness and cost-efficacy.</mods:abstract>
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                  <mods:title>Development and evaluation of DiabeText, a personalized mHealth intervention to support medication adherence and lifestyle change behaviour in patients with type 2 diabetes in Spain: A mixed-methods phase II pragmatic randomized controlled clinical trial</mods:title>
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               <mods:genre>research article</mods:genre>
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