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Aim: To evaluate the effectiveness of DiabeText, a low-intensity, multifaceted, mobile health (mHealth) intervention to support medication taking and lifestyle change targeted to people with type 2 diabetes (T2D)., Design: Phase III, 12-months, two-arm (1:1 allocation ratio), randomized parallel-group trial., Methods: We will recruit 740 adults with glycated hemoglobin (A1c) >8% (>64 mmol/mol) and with at least one prescription of a non-insulin antidiabetic drug. They will be allocated to a control (usual care) group or an intervention (DiabeText messaging intervention) group. The primary outcome measure will be A1c at 12 months follow-up. Secondary outcomes will include medication possession ratio and behavioral and psychological outcomes., Discussion: Recent trials suggest that digital health interventions can effectively support diabetes self-management improving T2D control and reducing important T2D complications. In Spain this type of interventions is understudied., Impact: This trial will strengthen the evidence base of the impact of mHealth interventions to support diabetes self-management. If effective, DiabeText may offer a low-cost and highly scalable strategy to improve health at the population level in a sustainable way., Trial Registration: ClinicalTrials.gov identifier NCT05006872; Official Title: Supporting People with Type 2 Diabetes in Effective Use of their Medicine Through a System Comprising Mobile Health Technology Integrated with Clinical Care., Competing Interests: Declaration of Competing Interest I.R.-C., R.Z.-C., M.A.F.-d., M.J.S.-R and E.G.G are owners and developers of the software DiabeText. The resting authors have no conflicts of interest to declare., (Copyright © 2023. Published by Elsevier Inc.)

Background: Type 2 diabetes mellitus (T2DM) is a highly prevalent disease associated with an increased risk of comorbidities, premature death, and health costs. Prediabetes is a stage of glucose alteration previous to T2DM, that can be reversed. The aim of the study is to develop and evaluate a low-intensity, multifaceted, digital intervention to prevent T2DM. The intervention comprises: (1) the use of mobile health technology to send tailored text messages promoting lifestyle changes to people at risk of T2DM and (2) the provision of online education to primary healthcare physicians and nurses about management of prediabetes., Methods: In stages 1-4 we will design, develop and pilot-test the intervention. In Stage 5 we will conduct a phase II, six-month, three-arm, cluster randomized, clinical trial with 42 primary care professionals and 420 patients at risk of T2DM. Patients will be allocated to a control group (usual care), intervention A (patient messaging intervention), or intervention B (patient messaging intervention plus online education to their primary healthcare professionals). The primary outcome will be glycated haemoglobin. All the procedures obtained ethical approval in June 2021 (CEI-IB Ref No: IB4495/21PI)., Discussion: Digital health interventions can effectively prevent T2DM and reduce important T2DM risk factors such as overweight or hypertension. In Spain, this type of intervention is understudied. Moreover, there is controversy regarding the type of digital health interventions that are more effective. Findings from this study may contribute to address T2DM prevention, through a low-cost and easily implementable intervention.

Background: Antidiabetic medication is effective in preventing diabetes-related complications. However, 40% of type 2 diabetic patients do not adhere to their medication regimes adequately. Brief text messages represent a promising approach to support medication adherence. The aim of this study was to explore the perspectives of primary care professionals (PCPs) concerning the DiabeText intervention, a new text messaging intervention to be developed to support medication adherence in people with type 2 diabetes (T2D) in Mallorca, Spain., Methods: We conducted four focus groups ( n = 28) and eight semi-structured interviews with doctors and nurses. Data collection and analysis were carried out by researchers independently following Braun and Clark's methodology., Results: Three main themes were identified: (1) text messaging interventions have the potential to effectively support diabetes self-management; (2) involving PCPs in the intervention would facilitate its design and implementation; (3) obtaining evidence supporting the cost-effectiveness is a key prerequisite for large-scale implementation of the intervention. PCPs identified barriers and enablers of the design and implementation of the intervention and made suggestions about the content and format of the text messages., Conclusion: The DiabeText intervention is perceived as useful and acceptable by PCPs provided its cost-effectiveness.

Background: Type 2 Diabetes Mellitus (T2DM) is a long-term condition affecting around 10% of people worldwide. This study aimed to explore T2DM patients' views on DiabeText, a new text messaging intervention to be developed to support adherence to diabetes medication., Methods: A total of four focus groups were conducted with a purposive sample of people with T2DM (n = 34). The data were analysed by multiple researchers independently, and coded using thematic analysis., Results: There were two main themes that emerged: (1) "patients' perspectives on unmet needs for diabetes self-management", and (2) "acceptability and perceived utility of DiabeText". The patients identified a number of barriers for diabetes self-management, including lack of appropriate information and support with diet and physical activity. Support for medication-taking was not perceived as urgently needed, although several barriers were identified (eating outside, traveling, polymedication, dispensation at the pharmacy). The participants anticipated that the proposed intervention would present high levels of patient acceptability and perceived utility as long as its content addresses the barriers that were identified, and includes specific features (short and clear messages, and personalized information)., Conclusion: The proposed intervention has the potential to be well accepted and perceived as useful by T2DM patients who require support not only in terms of medication-taking, but more prominently of lifestyle behaviour.

Media pressure from gambling advertising has reached worrying levels. It constitutes a risk to the mental health of young people and adolescents by promoting a favourable attitude towards gambling, a higher frequency of gambling and a perception of greater accessibility. Currently, there is no instrument available to assess the impact of gambling advertising., Objective: The present study aims to adapt and validate the Impact of Gambling Advertising Scale (IGAS)., Design: The IGAS scale was translated from English ensuring its linguistic, conceptual and metric equivalence. The psychometric properties were then tested. SITE: Comunidad Valenciana (España)., Participants: 1724 adolescents with a mean age of 16.52 years (SD=.759)., Intervention: Self-administered, paper-based questionnaire in a single measure., Main Measurements: Advertising impact, and gambling intention, severity and availability., Results: Internal consistency and two-half reliability were good, Cronbach's α=.782 and α=.70, respectively. Confirmatory factor analysis concluded that the Spanish version replicates the original three-dimensional version. Convergent validity analyses showed direct and significant relationships with different aspects of gambling behaviour, and other predictors., Conclusion: The adapted version of the IGAS is a reliable and valid measure for the assessment of the impact of advertising on adolescents. The scale is a useful instrument for the diagnosis of risk level and the evaluation of preventive interventions., (Copyright © 2021 The Authors. Publicado por Elsevier España, S.L.U. All rights reserved.)

Objectives: To review changes occurring over time in cases of medication overdose attended by an emergency department., Material and Methods: Retrospective review of epidemiologic and care variables related to drug poisonings in a university teaching hospital in 2007 and 2017. We used multivariate analysis to compare the 2 years., Results: A total of 750 cases were included; 438 (58.4%) were from 2007. Fewer cases were seen in 2017 even though the total numbers of emergencies and poisonings had risen (P<.001). Fewer cases were suicides or suicide attempts in 2017 (P<.001), and digestive tract decontamination and antidotes were used less often (P<.001 and P=.007, respectively). Admissions (P=.004) and voluntary self-discharges or patient losses were also down in 2017 (P=.03). However, multidrug poisonings increased (P=.001), especially in the context of recreational drug use by men. Benzodiazepine overdoses accounted for most of such cases (65.1%)., Conclusion: Medication overdoses seem to be decreasing, although the proportion of men overdosing is rising. Suicide attempts, the abuse of specific medications, and admissions also seem to be decreasing.

This paper is aimed mainly at making researchers in the field of drug addictions aware of a methodology of data analysis aimed at knowledge discovery in databases (KDD). KDD is a process consisting of a series of phases, the most characteristic of which is called data mining (DM), whereby different modelling techniques are applied in order to detect patterns and relationships among the data. Common and differentiating factors between the most widely used DM techniques are analysed, mainly from a methodological viewpoint, and their use is exemplified using data related to alcohol consumption in teenagers and its possible relationship with personality variables (N=7030). Although the overall accuracy obtained (% correct predictions) is very similar in the three models analyzed, the Artificial Neural Network (ANN) technique generates the most accurate model (64.1%), followed by Decision Trees (DT) (62.3%) and Naïve Bayes (NB) (59.9%).