Zusammenfassung
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.
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